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Administrative Science Quarterly

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Management Science

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IEEE Transactions on Engineering Management

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Journal of Engineering and Technology Management


Journal of Engineering and Technology Management
Special Issue: Disruptive Innovation and Entrepreneurship in Emerging Economics
Call for Papers
Papers for the Special Issue, Deadline 30Th, December, 2019


Journal of Engineering and Technology Management Special Issue:

Disruptive Innovation and Entrepreneurship in Emerging Economics

Call for Papers

Papers for the Special Issue, Deadline 15th October, 2019

Guest Editors:

1. Steven Si, Zhejiang University/Bloomsburg University of Pennsylvania (USA)

2. Shaker A. Zahra, University of Minnesota (USA)

3. Xiaobo Wu, Zhejiang University (China)

4. Don Jeng, National Chengchi University (Taiwan)

Journal of Product Innovation Management

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International Journal of Technology Management

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R&D Management

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Research Policy


Guest Editors: Carolina Castaldi (Utrecht University), Elisa Giuliani (University of Pisa), Margaret Kyle (MINES, Paris Tech), Alessandro Nuvolari (Sant’Anna School of Advanced Studies)

Journal Submission Deadline: May 1, 2021


Guest Editors: Knut Blind, Martin Kenney, Aija Leiponen, and Timothy Simcoe

Journal Submission Deadline: March 31, 2021

Technological Forecasting and Social Change


This special issue will focus on the interaction of the “local” and the “global” in the context of a rapidly changing international environment. In particular, we call for theoretical and empirical papers that deal with the changing nature of international production and local adaptation.


This special issue welcomes contributions from scholars in various fields to close gaps and shed light on the issues of major social change. Theoretical contributions, reviews, and case studies are welcome. Entrepreneurship, ethics, social dilemmas, and economic theories are relevant from the point of view of religious and ethical approaches in pursuit of real social change.


This Special Issue is closely linked to the 17th International Symposium on Management Engineering (October 2021, Changsha/Hang Zhou, China), where the Special Issue Guest Editor Team will run a track on this topic. Papers accepted for and presented at the Conference will be eligible for publication in the Special Issue. Please note, however, that only papers by participating authors who thoroughly review relevant studies published in TF&SC will be considered for inclusion in the Special Issue. Acceptance of a paper for presentation at the Conference makes that paper eligible for publication in the TF&SC Special Issue on “Management Engineering and Innovative Management, Information & Production for Social Change,” provided the paper has been carefully written for the TF&SC readership.


Social science studies often involve decision-making processes in which results are linked to organizational variables. The aim is to achieve the generalizability of results, ensure accuracy, and observe complexity. Consequently, fuzzy-set qualitative comparative analysis (fsQCA) is often suitable for research in the social sciences (Woodside, 2018).
For development and progress in accurate technological forecasting and social change, a shift from symmetric to asymmetric theory and empiricism is required (Woodside et al., 2012). Complexity theory is the main pillar and starting point for achieving this shift (Wu et al., 2014). In most cases, the use of large samples leads to statistically significant results. Fit validity achieves better values in symmetric models than in asymmetric ones because symmetric research is based on dependent and independent variables. Contrarian cases are usually present when a relationship has an overall effect.


This special issue focuses on the interrelationships between STI, sustainable entrepreneurship, and stakeholders advancing the SDGs. Sustainability has increasingly become a leading motivation for opportunity-driven entrepreneurship (Cervelló-Royo et al., 2020). Sustainable entrepreneurship can be conceptualized as the process of discovering, evaluating, and exploiting opportunities that are environmentally, socially, and economically relevant (Dean & McMullen, 2007). Sustainable entrepreneurship pursues opportunities that enhance the ecological and social environment (Shepherd & Patzelt, 2011) to generate economic and social benefits (Messeni-Petruzzelli et al., 2019; Verreine et al., 2013). In the context of the SDGs, sustainable entrepreneurs and corporate entrepreneurs can play an important role.


Important dates

  • Submission dates: May 01, 2021 — April 30, 2022 
  • Review process: On a rolling basis from July 2021 to Oct 2022
  • Publication: This is a Virtual Special Issue, accepted papers will be immediately published when accepted on the web and included in the next available issue of the journal.

This Special Issue welcomes contributions from scholars engaged in various fields to close the gaps and to shed more light on the problems of social changes during low carbon transition and implementation of new renewable energy technologies. Theoretical studies, reviews and case studies are welcomed. The complexity of the transition towards carbon-free energy requires advanced analytical tools. Therefore, this SI also focuses on the extensions of the econometric and optimization techniques capable to address the energy-economy-environment nexus in the light of the renewables.


Entrepreneurship literature has advanced significantly over the last decade and now incorporates a wide range of issues and topics. There are developed/developing stream of literature on technological entrepreneurship, social entrepreneurship, green entrepreneurship, institutional or rural entrepreneurship. In each stream, the change and disruption in social environment influence the phenomena.  The prevailing COVID-19 pandemic, one of the biggest disruptive societal events in a century, has jolted entrepreneurial motivations and entrepreneurial performance factors (Syriopoulos, 2020). Further, social unrest and agitations in various countries across the globe may enhance the role of technology and social entrepreneurship in the recovery from the social and economic crisis.


Authors are invited to present their work at the IFAMA 2021 conference co-organized by the editors of the special issue. The conference will address the same topics (questions) as the special issue and will be held at INCAE Business School (Costa Rica, June 21-23 2021). If you are interested in presenting a paper at the conference, please contact the guest editors of this special issue. More information about the six tracks can be found at this link: https://www.incae.edu/es/ifama-2021/symposium-program.html


Customers’ preferences and needs are changing surprisingly fast in the digital economy (Kotler et al., 2016). Emerging information technologies (e.g., mobile apps, voice technology, virtual reality) are empowering individual customers to have mounting knowledge, flexibility, and engagement in business practice (Araujo et al., 2020; Zhang & Chang, 2020). As such, how to better fulfill customer value creation and delivery is becoming increasingly important (Kostis & Ritala, 2020; Van Le & Suh, 2019), and is an immutable source for firms’ competitive advantage.


This Special Issue is closely linked to the 14th Academy of Innovation, Entrepreneurship, and Knowledge Conference (June 2021, Paris, France), where the Special Issue Guest Editor Team will run a track on this topic. Papers accepted for and presented at the Conference will be eligible for publication in the Special Issue. Please note, however, that only papers by participating authors who thoroughly review relevant studies published in TF&SC will be considered for inclusion in the Special Issue. Acceptance of a paper for presentation at the Conference makes that paper eligible for publication in the TF&SC Special Issue on “Innovation, Entrepreneurship and Knowledge", provided the paper has been carefully written for the TF&SC readership.


The coronavirus pandemic invaded the world like a silent dark shadow. First announced as a pneumonia of unknown cause by China on December 31, 2019, the COVID-19 pandemic has completely devastated the world (Blackburn et al., 2020). As of August 15, 2020, the pandemic infected almost 21 million people and caused close to 750,000 deaths worldwide (Johns Hopkins University & Medicine, 2020). It is not just people’s health that is suffering. The global economy is in a rapid downward spiral to recession, social distancing has caused mental anguish to everyone, and daily life patterns have dramatically changed (Stoll, 2020).

As damaging and tragic COVID-19 has been, in both scale and depth, one fortunate thing is that the pandemic occurred in today’s digital age (Guy, 2019; Trimi, 2020). We can apply such advanced technologies as artificial intelligence (AI), machine learning, smart sensors, Internet of Things (IoT), mobile and location technologies, virtual and augmented reality (VR & AR), cloud computing, and autonomous systems. These technologies help generate innovation ideas to manage the pandemic through real-time scanning of the virus spread, data analytics for testing, contact tracing, and isolation of infected patients (Tonby & Woezel, 2020).  However, it is important to maintain a balance between leveraging the power of advanced technologies and protecting people’s privacy. For example, due to the differences in privacy laws, it has been more challenging to trace the Covid-19 cases in the USA than in countries like China or South Korea (Chen, 2020).


This Special Issue is closely linked to the 14th Academy of Innovation, Entrepreneurship, and Knowledge Conference (June 2021, Paris, France), where the Special Issue Guest Editor Team will run a track on this topic. Papers accepted for and presented at the Conference will be eligible for publication in the Special Issue. Please note, however, that only papers by participating authors who thoroughly review relevant studies published in TF&SC will be considered for inclusion in the Special Issue. Acceptance of a paper for presentation at the Conference makes that paper eligible for publication in the TF&SC Special Issue on “Innovation, Management, and Governance for Sustainable Growth ", provided the paper has been carefully written for the TF&SC readership.


Rapid advances in the technology of the fourth industrial revolution pose a critical challenge for people and society. The interplay between technology and knowledge and their impact on social change have received widespread attention (Simões et al., 2020; Verbeek et al., 2002). Recent decades have witnessed the accumulation of a massive collection of research on measuring technology knowledge and social change. Organizations, both large and small, must understand that technology knowledge is a strategic and competitive asset that must be successfully managed. Managers and entrepreneurs must continually advance in their technology development strategies and improve their organizational capabilities as a routine business objective. This technology knowledge process is influenced by changes in the economic, political, and social environment (Ferreira et al., 2019). From this perspective, every technology decision should have a strategic impact on the business. It might occur as a result of new product development, rapid change in demand for the firm’s products, the need to rationalize costs, the need to improve product quality, and changes in process technology knowledge (Carayannis et al., 2018; Efstathiades et al., 2002). Similarly, it is important to have interaction and partnership between academia and industry for effective management and utilization of technology (Thomas & Paul, 2019).


An examination of the current industrial production reveals the significant role that robots play for decades and still play in the context of the industry. As an important part of industrial manufacturing processes (Pedersen et al., 2016) robots contribute to a substantial extent to the annual growth of labour productivity in countries with developed economies (Graetz & Michaels, 2018; Jaeger, Moll, Som, Zanker, Kinkel, & Lichtner, 2015). However, technological progress with regard to robots equipped with social characteristics also opens up new potentials for their use beyond industrial settings (Campa, 2016; Royakkers & van Est, 2016). Such robots make people interpret their behaviour as social and are therefore called social robots in scientific debate. However, it is questionable whether their functions deserve to be qualified as “social” in a human sense.


Emerging novel technologies are altering the dynamics of the competitive environment, markets and economic systems, as well as society in formidable ways (Christofi et al., 2019). Businesses use data, strategies, and business models developed from, or driven by these new technologies, to understand consumer choices and behavior and thus to gain competitive advantage (Manika, Papagiannidis, and Bourlakis, 2015). Such technological innovations include, among others, human-like products, Internet-of-Things (IoT), Virtual and Augmented Reality, electric cars, machine learning, cryptocurrencies and blockchain applications, artificial intelligence (AI) and Cognitive Systems (e.g., Lu, Papagiannidis, & Alamanos, 2018; Santoro et al. 2018).


Since the last few decades, consumer behaviour and consequently consumer behaviour research are going through a transition and gradually adapting to the technological advancements and the digitally disruptive environment. However, recent unprecedented developments due to COVID-19 pandemic have completely shaken the businesses and customers alike. This hostile environment has pushed most of the customers to a forced digital experience adoption. Particularly, customers’ channel preferences and their customer journey have seen a significant change that has resulted in high online activity and increased online sales. Though some of these trends may be temporary, many will have more long-lasting effects on daily consumption as well as on social interactions and communications. This pandemic has served as a catalyst to this already fast-changing customer journey; hence, stressed the need to recognise, understand and utilise this transition.


Agility has emerged as a key critical business success factor for companies that strive to remain competitive and innovative (Teece et al., 2016). Agility is even more vital with the emergence of disruptive digital technologies (Martínez-Climent et al., 2019; Trost, 2019) and in the so-called “VUCA” world  (Bennett & Lemoine, 2014). In fact, the need to be agile is increasingly pressing for firms, especially those operating in varied culturally host countries (Fourné et al., 2014), where traditional corporate foresight and scenario planning techniques necessitate to be upgraded by new digital technologies (Bodwell & Chermack, 2010; Vecchiato, 2015).
As a consequence, being “agile” in the modern digital world has been explored by many scholars in different fields of research, e.g. information technology, supply chain, operations, technology management, sustainable productions as well as from the strategic perspective (e.g. Doz, 2020; Shams et al., 2020).

However, agility is not a stand-alone capability but a characteristic resulting from a cluster of competences including adaptability, speed, innovation, sustainability and organisational resilience (Holbeche, 2018) suggesting an additional reframing of the VUCA model in order to take more effective decisions in the new digital world (Soriano et al., 2018).


The objective of this call is to publish cutting-edge research that focuses on the necessary social, environmental and technological developments in firms’ operations which will unlock the digitalisation of sustainable production systems which are compatible with the emergent disruptive technologies of the Industry 4.0 paradigm.


The circular economy is a term that exists since the 1970s and has acquired greater importance in the past few years, partly due to the scarcity of natural resources available in the environment and changes in consumer behavior. The circular economy, which is the integration of economic activity and environmental wellbeing, has emerged as one of the most relevant contemporary trends of the society. The circular economy is designed to eliminate waste through cycles of assembly, use, disassembly, and re-use, with virtually no leakages from the system in terms of disposal or even recycling. The circular economy can also decouple economic growth from natural resource use by involving the economic, environmental, technical and social dimensions. Cutting-edge technologies, such as big data, have the potential to leverage the adoption of circular economy concepts by organizations and society, becoming more present in our daily lives. In order to address the challenges, big data can play a major role in terms of acting as a facilitator for gaining the desired information for decision making. The arrival of big data has brought large, complex, volume and growing data generated from numerous sources. Due to the power in felicitous decision making based on diverse and large data, big data can be used in distinct disciplines, especially in social big data such circular economy.


The recent outbreak of COVID-19 coronavirus has become a worldwide crisis, behaving like “the once-in-a-century pathogen” (Gates, 2020). Up to 02/03/2020, China has accumulated 80,175 cases and the number outside China is growing rapidly to over 9,000 infected. The situation in Italy and South Korea is almost out of control, while Iran, Japan and other countries are all in danger of facing major outbreaks.


According to Schumpeter (1976, p. 132), “the function of entrepreneurs is to reform or revolutionize the pattern of production by exploiting an invention or, more generally, an untried technological possibility for producing a new commodity or producing an old one in a new way, by opening up a new source of supply of materials or a new outlet for products, by reorganizing an industry and so on.” Entrepreneurial activity is a disruptive phenomenon whereby innovative entrepreneurs disturb the existing market equilibrium to create an imbalance, which then tends toward a new equilibrium (Kirzner, 1973; Schumpeter, 1954; Venkataraman, 1997). During the constant evolution of a new market, increasing competitive pressure leads organizations that take the wrong decisions to be selected out of the market. As a sort of coral reef, these defunct organizations form the foundations upon which the new participants must build their endeavors (Klepper and Simons, 1997; Metcalfe, 1998). New markets arise not only from well-articulated unfulfilled demand but also from specific product offerings that create new preferences and needs (Geroski, 2003). The creation of new markets can also be explained using effectual logic and a transformational view of market genesis (Dew et al., 2011).


“Despite its immense potentials as a sustainable and innovative means to solve specific social problems, the basic concept of the social business model…remains unclear to many” (Ashraf et al., 2019, p. 1145). As a result, irrespective of growing but fragmented research and practice into social business (SB) model, the contemporary business world is yet to fully capitalize the advantages of the SB concept, in order to exclusively and proactively contribute to diverse socio-economic and ecological issues across the world, while maximizing profit for socio-economic development. Yunus et al. (2010) present the social business model, as “a self-sustaining company that sells goods and services and repays its owners' investments, but whose primary purpose is to serve society” (Peerallya et al., In Press, p. 2). In general, maximizing profit for optimizing socio-economic benefits is the key value creating purpose of SB. “Although social enterprise is often considered to have positive future potential, it is currently underdeveloped” (Bell, 2003; Teasdale, 2010; Yunus et al., 2010; as cited in Engelke et al., 2015, p. 636). Additionally, “One of the roles of social entrepreneurship within a national system of innovation is to generate and ensure effective adoption of innovations that address underserved needs. However, many such innovations do not achieve the expected social impact. Why?” (Ramani et al., 2017, p. 216).


As numerous actors (e.g. academics, policy makers, businesses, civil society organizations, governmental agencies) around the world work towards achieving the Sustainable Development Goals (SDGs), many are recognizing the key role of agri-food systems. They are not only critical in ensuring food security and improved nutrition: food systems are important in achieving social, economic and environmental goals as well. The agri-food system is indeed saddled with enormous environmental challenges regarding food production and waste, food packaging, transportation and consumer habits and behavior. This, in turn, involves environmental issues regarding energy, materials and water use, as well as greenhouse gas emissions, which make agri-food the industry having the largest environmental impact of all industrial sectors (Bryngelsson et al. 2016; Notarnicola, Sala, et al. 2017; Notarnicola, Tassielli, et al. 2017).  Furthermore, several social challenges characterize the industry and relate to labor conditions, health and safety in relation to quality of food products, as well as food insecurity that plagues different economies, “fair” market creation in Base of the Pyramid contexts, as well as unstable economic conditions of small farmers.


The amount of data being collected worldwide is increasing exponentially. Simultaneously many related fields like data science, data intelligence, artificial intelligence, machine learning, and deep learning have also seen a lot of growth and are revolutionising both business and society across the globe. This presents significant challenges for decision-making, and signifies a potential transition towards data-intensive economies, governments, and industrial sectors.

This special issue of Technological Forecasting and Social Change introduces the rapidly evolving area of data intelligence and analytics, which encompasses business intelligence, data sciences, machine learning. We present a list of research proposal topics below describing aspects of data intelligence and analytics that will be of interest to researchers who wish to study their impacts on of business and social transformations.


Management of Joint University-Industry Laboratories
Short title: Joint UI labs
Over the last decade discussions about the third mission of universities, Knowledge Triangle and Triple Helix have emerged and raised reasonable attention in the academic community. The discussion however is limited to the macro level so far, e.g. discussing the output and contribution of different channels for transferring knowledge and technology from universities to industry. Still the micro level of how to manage University-Industry cooperation in this context remains a significant weakness. Among the many different channels for generating impact from university research – hence promoting technology transfer and the very concept of entrepreneurial universities - are joint university-industry laboratories. Joint university-industry laboratories are understood as long term joint undertakings shared by universities and industry targeted at generating value for all parties involved by several means. Given the different missions of universities and industry such joint laboratories inherit special challenges for management including shared missions and visions and research strategies respectively, research project management tuned to the special needs of joint research projects, the allocation of financial and human resources, management of related intellectual property and other related fields. The Special Issues thus focuses on these micro level dimension to gain an understanding of the underlying challenges and reasonable management responses. Joint laboratories are seen in the context of the entrepreneurial university discussion which is the broader picture. Joint labs of course are part of the entrepreneurial university debate but remain a dedicated very special feature.


Artificial Intelligence (AI) and its associated Machine Learning (ML) capabilities are considered to be the next General-Purpose Technologies (GPTs) that will impact all areas of economy and society at large (Montes & Goertzel, 2019), perhaps at the same or greater magnitude as previous GPTs such as steam engine, electricity, internal combustion engine, and computers (Brynjolfsson, Rock, & Syverson, 2017). The pervasive nature of AI holds considerable potential for disrupting both management practices (von Krogh, 2018) and strategies of business in all industries (Agrawal, Gans, & Goldfarb, 2018). In this call for papers, we focus on the impact of AI on the innovation processes of organizations. While AI can influence both the production and the characteristics of a wide range of products and services, Cockburn, Henderson, and Stern (2018) suggest that AI may impact the innovation process itself by serving as a new general-purpose method of invention. Brynjolfsson and McAfee (2017, p. 19) state that the impact of AI on business and the economy “will be reflected not only in their direct contributions but also in their ability to enable and inspire complementary innovations.” For instance, AI-based learning may “automate discovery across many domains where classification and prediction tasks play an important role” and “radically alter scientific and technical communities’ conceptual approaches and framing of problems” (Cockburn et al., 2018, p.7). Makridakis (2017) proposes that the automation of routine research tasks may allow R&D teams to focus on more creative and innovative tasks. As such, AI can potentially affect the way organizations manage and conduct R&D to develop new products and services. In the pharmaceutical industry, AI has been used to predict candidate selection for trials, identify target proteins, and automate molecule design, all of which have halved the development cost of certain drugs and considerably reduced the time to market through higher approval rate. In marketing, AI can leverage the myriad of consumer data to predict the successful features of a future product or service, which will reduce the notoriously high rate of failure for any new product or service. At an organizational level, AI can lower entry barriers to resource-constrained organizations by drastically reducing R&D costs. In this scenario, an increasing number of small firms will be able to use AI and ML capabilities to produce incremental innovations which otherwise would have been forgone due to inherent high search costs.


We live in an information age in which massive amounts of data is being produced to improve our daily lives. High computational demands are required to extract and understand the important messages hidden within the data and service interactions enabled by disruptive technologies, which is a collective term to refer to technologies behind Industry 4.0 to offer innovation and enable us to change the way we work. These allow all the businesses, cities and society to be competitive and progressive. Disruptive technologies are necessary to improve the speed, efficiency, effectiveness, quality, safety of real times data analysis and meet user’s expectations. Disruptive technologies for Industry 4.0 can address new needs of the individuals, businesses and society. They often include innovative products and services never used before. The right type of dissemination and strategies can lead to a rapid rise of popularity and adoption. Therefore, investigating of disruptive technologies and understanding their impact on Industry 4.0 has become strategically important.


Guest Editors:
David B. Audretsch, Indiana University Bloomington, USA
Rosa Caiazza, Parthenope University of Naples, Italy
Maksim Belitski, Henley Business School, United Kingdom
Christina Günther, WHU-Otto Beisheim School of Management, Germany
Matthias Menter, Friedrich Schiller University Jena, Germany
Background and Focus of the Special Issue:

The entrepreneurship and innovation literature has recently emphasised the role of latent and emergent entrepreneurship in bringing innovations to the market (Caiazza et al., 2015 Audretsch et al. 2017; Neffke et al. 2018). As the connection between entrepreneurship and innovation is a stylized fact, regional entrepreneurship and innovation policies are becoming more selective by targeting more innovative types of entrepreneurship rather than supporting total entrepreneurship activity. This development is evident by the number of regional enterprise and innovation policies for which have been issued worldwide to sustain the creation and the growth of most innovative types of entrepreneurs. These heterogeneous policies target innovation drivers and shaping local systems of innovation, which offers the opportunity of some reflections, appraisal and refinements of the very nature of latent and emergent entrepreneurship related to policy. Although local and national governments have declared their support to the latent and emergent entrepreneurship, , they still aim to the greater extent promoting the total entrepreneurship activity (Lerner, 2010). Empirical evidence has demonstrated that the results of such policies have not been successful (Colombelli et al., 2016). It is possible that there is sometimes a divergence between regional and national strategies in supporting most innovative entrepreneurs.


Guest Editors

1. Dr. B. B. Gupta, National Institute of Technology, Kurukshetra, India
Email: bbgupta@nitkkr.ac.in
2. Dr. Dharma P. Agrawal, University of Cincinnati, Cincinnati, USA
Email: dpa@cs.uc.edu


While this issue is developed in collaboration with the Global TechMining Conference (GTM) 2019 held in Atlanta, GA 17 October 2019, papers from outside the conference are welcome.


Guest Editors: Alexander Brem, Annalisa Croce, Massimo Colombo, Armin Schwienbacher, Elisa Ughetto


The rise of Do-It-Yourself (DIY) Laboratories: Implication for Science, Technology, and Innovation (STI) Policy

From Auckland to Zagreb, DIY laboratories are ‘popping’ up in cities across the world. Organised around open-source principles, these independent community-based science research hubs, often set up by Scientists and Science Enthusiasts to learn, experiment and get involve with the world of STI advancement. These ‘citizen laboratories’ are flourishing because they are attracting volunteers, communities, groups, and venture capitalists, making them alternative homes for talent located within and beyond the theoretical boundaries of universities keen to open up the processes of science, technology, and innovation to the public (Hecker et al., 2018; Sleator, 2016; Landrain, 2013).


The year 1969 was prominent for mankind's landing on the moon, and the technological advances that allowed that momentous event to happen. These advances gave the impetus for the launching of the journal Technological Forecasting & Social Change. The first few volumes had articles from prominent individuals not only from Academia but also Science and Industry. The Nobel Laureate Denis Gabor of United Kingdom wrote on normative forecasting in the first issue. Other prominent contributors in the early years hailed from many countries, providing an International flavor to this journal.


The dynamic economies of the Northeast Asian countries have emphasized the speed of economic growth. However, due to the ever-increasing challenges coming from this kind of rapidly increasing economic development, China and Korea have turned their focus toward the sustainable quality of economic development, implying that the slow-steady transition toward the harmonized economy and transparent society is much more important for the future. Instead of quantitative economic performance measures such as GDP, these countries became more concerned about the undesirable effects of current resource-intensive current economic structures, and thus shifted the policy paradigm toward the sustainable society. However, these countries face challenges and bottlenecks to the sustainable governance transition. Therefore, challenges in the transition economies such as China and Korea should be analyzed in more detail for the social and economic effects accompanying green technologies and policies.


The IARPA FUSE project [Intelligence Advanced Research Projects Activity -- Foresight and Understanding from Scientific Exposition] sparked interest in forecasting technical emergence.  This issue draws together conceptual and empirical research aimed at tracking, assessing, and projecting emergence of specific technologies.


This special issue calls for new empirical evidence and theoretical scaffolding to examine and analyse social media’s role in promoting and/or inhibiting human acculturation to “others”. We aim to expand on and advance the concept of acculturation and in so doing invite scholarly works that investigate human interaction with “others” of different lifestyles, professions, political views, religiosities, ethnicities and ideologies.


The deepening of information technology and the changing landscape of industrial history has brought about new trends in industries. These trends include the rise of the so called ‘Industry 4.0’ and ‘Smart Manufacturing’. While some enthusiasts hail these new concepts, others see them simply as a symbiotic amalgamation of information technology and traditional industries. Some point out that the ‘Industry 4.0’ concept has a European bias while ‘Smart Manufacturing’ is the more popular understanding of the phenomenon in the U.S. These diverging viewpoints highlight the need for a fundamental discussion of these newly emerging ideas and whether they really feature fundamental changes or are simply self-perpetuating echoes in capitalism. Especially, a critical question can be raised regarding potential connections between these new waves and the economic trend of the ‘New Normal.’


With the development of social media, crowdfunding has emerged as a new funding method for entrepreneurial projects where the investors, mainly constituted by ordinary citizens, may support an idea/ideal and contribute to its realization. According to Gerber and Hui (2013), crowdfunding fundamentally affects how our economic and social system functions as it changes how, why, and which products and services are brought into existence.


In the early 1980s, universities as entrepreneurial entities became an accepted concept, and the literature began debating the role of higher education institutions in economic growth and social change in greater depth (Etzkowitz, 1983; Clark, 1998; Klofsten & Jones-Evans, 2000; Gibb & Hannon, 2006; Perkmann et al 2013; Guerrero et al 2015; Guerrero et al 2016). Studies have shown that, over time, the regional impact of universities on new business creation, knowledge transfer, and influx of well-educated people is considerable (Saxenian, 1994; Vohora et al. 2004; Etzkowitz & Klofsten, 2005; Chau et al. 2016). Various activities such as research collaborations with industry, patent applications, idea spin-offs into new firms, entrepreneurial training of highly skilled individuals and incubators are the tools universities use to achieve their entrepreneurial aspirations (Slaughter & Leslie, 1997; Shane, 2004; Somsuk & Laosirihongthong, 2014).


Educators are increasingly being called upon to adapt education systems to prepare young scientist and engineers for the broader participation in the global knowledge economy. Entrepreneurship Education needs to meet the challenge of preparing people from non-social science backgrounds to contribute more directly to the social and technological transformations and the associated challenges and opportunities that our economies are faced with as a consequence. There is a need to offer/develop tools, knowledge, skills, and competences to students in order to meet the evolution of the economy and social structures as they change to better align with the reality of a global knowledge society. Developing “entrepreneurial skills” in primary, secondary, post secondary and continuing education is important not only for future managers of new ventures, but for established enterprises as students need flexibility in both knowledge, social skills and adaptability to become more effective team members and managers to better support and develop innovation in organizations and society.


Call for papers: Foresight and Knowledge Management


Call for papers: Technological Challenges of Green Innovation and sustainable resource management with Large Scale Data


Call for papers: Multiple Criteria Decision Analysis (MCDA) in Knowledge-based Economies: Methodological Developments and Real-world Applications


The objective of this special section is to bring together new ideas on how to represent the development through time in Technological Innovation Systems (TIS). This addresses the theme: What are current theoretical advances in transition studies, building on core concepts such as the multi-level perspective, technological innovation systems, transition management and reflexive governance of sustainability?


Over the past half a century, the accelerated pace of globalisation coupled with technological breakthroughs have ushered in a new era of global competition and new roles of technology (White & Bruton, 2011; Afuah, 2009;            Narula, 2014). A noticeable trend is the shift towards investment in new and emerging technology by firms and governments as a means of creating conditions for local innovation and the flourish of local firms (White & Bruton, 2011) in order to enhance their global competitiveness and survival.


Scientific advances and technological changes are major drivers of economic development in the ‘New Economy’. In this context, open innovation has become a key determinant of growth in the globalized knowledge society. However, there are limitations in related research in that there exist only a few multi-faceted approaches. Further, dynamic aspects of open innovations have not been investigated enough. Such limitations are apparent especially in presenting challenges and opportunities that open innovation can create in many Startups, Smaill and Medium Enterprises(SMEs_, and in most important cities.


Guest Editors:

Jonathan Liebenau, London School of Economics

Yu Jiang, Chinese Academy of Sciences, Institute for Policy and Management, Beijing

Heejin Lee, Graduate School of International Studies, Yonsei University, Seoul


Over the past decade, the development of emerging economies as a driver of global economic growth has been one of the most fundamental trends.


Deep societal transitions are required to achieve the long-term objectives set in international environmental agreements. Different scientific approaches offer insight into these transitions, including integrated assessment models (IAMs), socio-technical transition science, and participative action research.


Guest Editors:
Marta Peris-Ortiz, Universitat Politècnica de València, Spain
Jean Michel Sahut, HEG Fribourg, Switzerland & IDRAC Business School, France


While sharing is an old social practice (Belk, 2010), it is currently being expanded and redefined into an exploding “sharing economy” through the addition of information technologies. The sharing economy refers to peer-to-peer sharing of goods, services, and information coordinated through community-based technological services and by new venture companies (Hamari, Sjöklint & Ukkonen, 2015).


Guest Editors:

Luca Grilli, Politecnico di Milano, Italy
Mariana Mazzucato, University of Sussex, UK
Michele Meoli, University of Bergamo, Italy
Giuseppe Scellato, Politecnico di Torino, Italy


This special issue is focused on a core mission area of Technology Forecasting and Social Change (TFSC) which is the interaction between technology and future social change. Here we are interested in how National Innovation Systems (NISs) interact with technology based social entrepreneurship aimed at social change. Social entrepreneurship is an important tool for the NIS to integrate social, environmental and technological factors for societal benefit. We seek papers with a technological focus and a future orientation that deal directly with the methodologies and practices of technology forecasting and implementation in social entrepreneurial contexts. The special issue editors look forward to your submission in TFSC, the foremost journal integrating technology, innovation and social impact.


We intend in this special issue to shed light on how cities and communities can become more resilient to deal with disasters. In view of all these existing challenges, we invite researchers to submit original papers that include conceptual or empirical approaches relevant for this topic and provide new insights for theory and practice.


Authors can submit their papers any time after 1st June 2015 up until February 2016.

Technology Analysis and Strategic Management

http://www.tandfonline.com/toc/ctas20/current

Technovation


In this special issue, we would like to explore the potential applications of novel digital technologies (such as IoT, big-data analytics, AI, robotics, the blockchain, additive manufacturing, and cybersecurity) to enhance the traditional public-health strategies for supporting the development of an anti-fragile healthcare sector, for innovating the healthcare ecosystem, also tackling health crisis management.


Submission Information

Submission opens: July 31, 2021

Submission deadline: November 30, 2021

Anticipated publication release: end of 2022


Entrepreneurship is a multidisciplinary research field whose primary object of study is the process of the creation, identification and exploitation of opportunities and how these opportunities are transformed into new products, services and businesses that create wealth and contribute to economic development (Shane & Venkataraman, 2000). These entrepreneurial opportunities result from, among other things, the spatio-temporal contexts in which they emerge and develop (De Massis et al. 2018).


The world is undergoing rapid and broad economic and social shifts as technology, technological innovation and entrepreneurship have increasingly changed and transformed the current social and business/management environments. Of particular note is the emergence of the digital economy that has largely changed the current business/management ecosystem and has contributed to the increasing economic growth and living standards in recent years. What can we learn about the technology and digital economy in 2020 and beyond?


SPECIAL ISSUE of TECHNOVATION
The Internet of Things: Managerial and Entrepreneurial Opportunities and Challenges
Edited by
Bart Clarysse, ETH Zurich
Mike Wright, Imperial College Business School
Vivianna Fang He, ETH Zurich

European Management Journal


Guest editors:
Stefano Denicolai, University of Pavia
Giovanna Magnani, University of Pavia
Joaquín Alegre Vidal, University of Valencia


Guest editors:

Karine Goglio-Primard, Kedge Business School, Toulon, France
Laurent Simon, HEC Montréal
Patrick Cohendet, HEC Montréal
Barak S. Aharonson, Xiamen School of Management, Xiamen University, China
Etienne Wenger-Trayner, Social Learning Theorist and Consultant, California and Portugal


Guest editors

Tomislav Hernaus, Faculty of Economics and Business, University of Zagreb, Croatia

Kristina Potočnik, University of Edinburgh Business School, UK

Eva M. Lira, University of Zaragoza, Spain

James M. LeBreton, Pennsylvania State University, USA

Organization Studies

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International Journal of the Economics of Business

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 Journal of Economics and Business


The COVID-19 pandemic is an extraordinary event with far-ranging implications for all economic actors around the world. The Journal of Economics and Business seeks to contribute to the ongoing policy discussion and invites submissions of manuscripts relating to the COVID-19 pandemic.

Journal of Economics and Management Strategy

http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1530-9134

Managerial and Decision Economics

http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1468

Economics of Innovation and New Technology

http://www.tandfonline.com/action/newsAndOffers?journalCode=gein20

Industrial and Corporate Change

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https://academic.oup.com/icc

Industry and Innovation

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 World Development

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Evaluation and Program Planning

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Research Evaluation

https://academic.oup.com/rev

Scientometrics

http://link.springer.com/journal/11192

Journal of Policy Analysis and Management

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Journal of Technology Transfer

https://www.springer.com/business+%26+management/journal/10961

Science and Public Policy

https://academic.oup.com/spp

 

Research-Technology Management

http://tandfonline.com/toc/urtm20/current

 

Harvard Business Review

https://hbr.org/

Journal of Marketing Managment

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Journal of Business Venturing


Journal of Business Venturing (JBV) is formalizing the submission and review process for special issue proposals. JBV will now only accept special issue proposals through the formal submission process, which will open annually beginning on January 1 and closing on March 1.


Guest Editors

Trenton Alma Williams, Indiana University

Eric Yanfei Zhao, Indiana University

Gerard George, Singapore Management University

Scott Sonenshein, Rice University

Deniz Ucbasaran, University of Warwick

American Economic Review

https://www.aeaweb.org/journals/aer

Journal of Marketing Research

https://www.ama.org/publications/JournalOfMarketingResearch/Pages/About.aspx

California Management Review

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Management Information Systems Quarterly

Bulletin Board

MIS Quarterly appoints new Editor-in-Chief: Andrew Burton-Jones

_MIS Quarterly_Virtual Reviewer Development Workshop

Faculty Positions: University of Minnesota

A Message to the MISQ Community on

Editorial Processes Amid the CoVID-19 Pandemic

MIS Quarterly Paper of the Year — 2019

Copyright Violations

Journal of Applied Psychology

http://www.apa.org/pubs/journals/apl/

Science

http://www.sciencemag.org/

Small Business Economics

http://www.springer.com/br/

Industrial Marketing Management


Submissions start: 31st March 2021
Deadline: 1st October 2021


Industrial Marketing Management announces the call for papers for a special issue on Conscientious Business-to-Business Organizations: Moving Beyond Corporate Social Responsibility in Volatile, Uncertain, Complex and Ambiguous Environments.


Branding and Positioning Strategies in Industrial and B2B Markets in the Middle East and Africa (MEA)


The Role of Technology in Achieving Effective Circular Supply Chain Management


Business markets, relationships and networks have been researched for over 40 years, along an alleged dimension from realist to relativist.


The widespread use of social media in business markets has triggered the restructuring of the sales processes and transformation of the ways salespeople operate (Rapp et al., 2013; Agnihotri et al., 2016).


Service-dominant logic (cf. Skålén et al., 2014; Vargo & Lusch, 2004; Vargo & Lusch, 2015; Vargo & Lusch, 2017) and servitization (cf. Howard, Tim, & Palie, 2013; Howard et al., 2014; Rabetino, Kohtamäki, & Gebauer, 2017; Raddats et al., 2019) are increasingly pervasive forces in product-service networks. A growing number of industrial firms, which have traditionally had product-driven strategies and value propositions, are going through an evolution in their core logics and business paradigms, with the consequential enhancement of their service value propositions.


Industrial Marketing Management announces the call for papers for a special issue on Artificial Intelligence for B2B Marketing: Challenges and Opportunities.


This special issue was crafted to reflect the significant on-going transition in the industry toward autonomous solutions in ecosystems.


About a third of food gets wasted before we eat it. This is highly problematic ethically, environmentally, as well as economically. According the International Food Waste Coalition, if food waste were its own country, it would be one of the largest emitter of greenhouse gases. If only one fourth of that waste was saved, it would be sufficient to feed 870 million people, 12% of the global population, and more than currently go hungry. According to the FUSION project, in Europe alone the 88 million tons of food wasted cost about EUR 143 billion (http://www.eu-fusions.org).


Recognized as a company’s “single most important organizing principle” (Webster, 2002, p. 61) and crucial to its value creation process (Payne & Frow, 2005), the customer value proposition (CVP) represents one of the most widely used terms in business (Anderson, Narus, & Van Rossum, 2006). Its origins go back to the early 1980s, when strategy consultants developed the concept to facilitate the implementation of market orientation in production-centered firms (Michaels, 2008). Since then, dissemination of the term CVP has experienced rapid growth, reflected by a plethora of references in managerial as well as academic literature (Payne, Frow, & Eggert, 2017).


Special Section on Methodological Advances in B2B Research

Journal of Operations Management

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Quarterly Journal of Economics

https://academic.oup.com/qje

Journal of Business Research


JBR is excited to issue this call for review papers for a Special Issue. We invite systematic reviews on a topic within the domain of Consumer Behavior or Customer Behavior, including (directly or indirectly) related subject areas, which may include, but are not limited to the following areas:
• Consumer-Brand relationships, Consumer behaviour B 2 C segment
• Self-Regulation including Consumer Goals
• Social Influences
• Advertising, Marketing Communication and Buyer Behaviour
• B2B buying behavior issues including Customer Value, Customer Equity
• Consumer/Customer behavior in Services sector including Retailing

Submission Window:   15th February to 15th May, 2021


Submission start: 15th March 2020 Submission deadline: 15th February 2021


Paper submissions open: 1st December 2020
Paper submissions deadline: 31st March 2021


The rise of the digitally enabled ‘disruptive technologies’ or ‘sharing platform-economy’ has been propelled by advances in computing power and information communication technologies (ICT) (De Stefano, 2016; Forde et al., 2017; Gandini, 2018; Howcroft and Bergvall-Kåreborn, 2019; Kenney and Zysman, 2016; Peticca-Harris et al., 2018; Srnicek, 2017; Wood et al., 2018, Veen et al, 2019). These technologies in the platform economy have become vitally important during the present pandemic situation of Covid 19. To slow the spread of the pandemic, countries around the globe imposed ‘lockdowns’ and restricted individual movements, which resulted in the concept of ‘working from home’ to become the new normal way of working. In the workplace, collaboration tools have disrupted communication tools in the form of the three most popular platforms- Zoom, Microsoft Teams and Google Meet, all allowing contact with colleagues and linking up with friends and family for weekly digital get-togethers. Yet while they all share the common capability of messaging and video calls, each come with their own features that might make one a better option for individual specific needs than the other.


Old Wine in New Bottles? Revisiting Electronic Word-of-Mouth (eWOM)

Submissions open: 01-July-2021

Deadline: 31-Oct-2021


Advanced PLS-SEM Applications in Business Research

Submission start: November 15, 2022
Deadline: January 18, 2023


Guest Editors:

Ismail Gölgeci, Ph.D., Associate Professor, Aarhus University, Denmark
i.golgeci@btech.au.dk

Dr. David M. Gligor, Ph.D., Associate Professor, University of Mississippi, USA
dgligor@bus.olemiss.edu

Dr. Erkan Bayraktar, Ph.D., Professor, American University of the Middle East, Kuwait
erkan.bayraktar@aum.edu.kw

Dr. Dursun Delen, Ph.D., Regents Professor, Oklahoma State University, USA
dursun.delen@okstate.edu


What is still emerging about EMNEs? Setting the agenda for future research


Circular Economy in Small and Medium Sized Enterprises – Theoretical Developments, Practical Challenges and Future Research Agenda


The past few years have witnessed a significant increase in the number of manuscripts on marketing and consumer research in the field of family business.


Increased access to large amounts of freely available or proprietary data has created massive commercial opportunities nowadays, effectively becoming a key strategic capability for companies able to leverage them. Specifically, a proliferation of various kinds of digital data provides companies an ever-increasing source of consumer data that can be used to inform and improve managerial decision-making (George et al., 2014; Erevelles et al., 2016). Following this, a continuous development of more agile and powerful analytical tools facilitates companies to better exploit such datasets and derive previously unattainable insights from a wide variety of data sources (Sivarajah et al., 2017; Van Auken, 2015).


We invite submissions to a JBR special issue that focuses on advancing service-dominant (S-D) logic. S-D logic outlines a meta-theoretical view of value creation based on service—the application of resources for the benefit of others (Vargo & Lusch, 2004, 2008). S-D logic thus replaces the goods centric view of value creation, in which the goods are produced by one type of actor (e.g., the producer) and consumed by another (e.g., the consumer), with a fundamentally symmetric view according to which all actors cocreate value through resource integration and service exchange (Vargo & Lusch, 2008, 2011).


“Future of work” is one of the hottest topics across a number of scientific disciplines. For example, such research is strongly supported by the National Science Foundation (NSF). This proposed Special Issue links future of work to well-being and entrepreneurship. It asks the broad question: “what are the implications of the expansive and rapid change driven by technology and digitalization on well-being, current working practices and how society is organized?” thereby making it suitable for management and entrepreneurship scholars. Our six-person team from four different continents represents intimate experience with the most important facets of the topic, has decades of editorial experience with relevant journals, and has jointly guest edited over a dozen special issues. The team will organize a paper development workshop and facilitate high impact submissions to the Special Issue.


The use and communication of sensory information mediated by /delivered via the latest in new technologies is a subject that challenges researchers in human-computer interaction (HCI), psychology, and marketing. Researchers in HCI try to develop interactions and technologies that stimulate the user’s senses by means of novel digital interfaces. Marketing researchers are interested in innovating on, and improving the, multisensory experience online.


Guest Editors:
Sanjay Kumar Singh, Ph.D.
Editor-in-Chief, Journal of Asia Business Studies
College of Business, Abu Dhabi University, Abu Dhabi, UAE
Email: sanjay.singh@adu.ac.ae

Manlio Del Giudice, Ph.D.
Editor-in-Chief, Journal of Knowledge Management
University of Rome “Link Campus”, Rome, Italy
Email:  m.delgiudice@unilink.it

Arvind Malhotra, Ph.D.
Kenan-Flagler Business School, The University of North Carolina at Chapel Hill, USA
Email: Arvind_Malhotra@kenan-flagler.unc.edu

Valentina Cillo, Ph. D.
Associate Editor, Journal of Intellectual Capital
University of Rome “Link Campus”, Italy
Email: valentinacillo@hotmail.it


Thanks to new technology and Internet advancement, there is a growing trend of platform revolution that changed business model from a linear supply chain pipeline to a platform, which is a complex network of producers and users in a interconnect ecosystem (Parker, Van Alstyne, & Choudary, 2016; Nambisan & Baron, 2019). While the extant B2B literature has widely examined the impact of business networking or managerial ties on firms’ innovation and performance (Dong et al., 2018; Wang, Siu, & Barnes, 2008; Wang & Chung, 2013; Zeng et al., 2017), today’s online network platforms facilitates the creation of entirely new markets by connecting and matching producers and customers globally without physical or distance restriction.


Submission Deadline: December 1, 2020

This Special Issue of the Journal of Business Research aims to attract world-leading research on how commercial, non-profit and government organizations manage business relationships for social impact. Specifically, the special issue aims at socially oriented business researchers, e.g. scholars from social sciences, business and management research, public health, behavioral change, corporate social responsibility and organizational studies, who are willing to combine strong theoretical underpinnings and world-class empirical evidence.

 


Submission: Between May 1 and October 15, 2020


Submission deadline: February 28th 2021


The resource-based view (RBV) is still one of the most debated and successful theories in management studies (Nason & Wiklund, 2018). The RBV comprises of a comprehensive body of management literature which is principally concerned with the source and nature of an organization’s strategic resources and capabilities (Priem & Butler, 2001).


In conjunction with the biennial Cross-Cultural Research Conference that will be held in San Juan, Puerto Rico from December 8-11, 2019 (www.crossculturalresearch.com) the Journal of Business Research (JBR) announces a call for papers with the intention of publishing a special issue concerning cross-cultural research in business current issues and challenges.


Composite-based partial least squares structural equation modeling (PLS-SEM) has become a well-established element in researchers’ multivariate analysis methods toolbox (Hair, Black, Babin, & Anderson 2018). Particularly PLS-SEM’s ability to handle highly complex path models and its causal-predictive nature, which allows bridging the apparent dichotomy between explanation and prediction, have contributed to its massive dissemination. While its usage spans across multiple fields outside the social sciences, the mainstay of PLS-SEM is business research. Some of the most popular models in the fields – including customer satisfaction and loyalty models (e.g., Ahrholdt, Gudergan, & Ringle 2019), corporate reputation models (e.g., Hult, Hair, Proksch, Sarstedt, Pinkwart, & Ringle 2018), and technology acceptance models (e.g., Schubring, Lorscheid, Meyer, & Ringle 2016) – are routinely estimated using PLS-SEM. It is not surprising that some of the most cited articles in the Journal of Business Research (JBR) use the PLS-SEM method (e.g., Coltman, Devinney, Midgley, & Venaik 2008; Camisón & Villar-López 2014).


ubmission deadline: January 11, 2020

Special Issue Editors:

• Carlos Velasco, BI Norwegian Business School, Norway, carlos.velasco@bi.no
• Tsutomu Sunaga, School of Business Administration, Kwansei Gakuin University, Japan, sunaga@kwansei.ac.jp
• Takuji Narumi, The University of Tokyo, Japan, narumi@cyber.t.u-tokyo.ac.jp
• Kosuke Motoki, Tohoku University School of Medicine, Japan, kosuke.motoki.p2@dc.tohoku.ac.jp
• Charles Spence, University of Oxford, UK, charles.spence@psy.ox.ac.uk
• Olivia Petit, Kedge Business School, France, olivia.petit@kedgebs.com

The use and communication of sensory information mediated by /delivered via the latest in new technologies is a subject that challenges researchers in human-computer interaction (HCI), psychology, and marketing. Researchers in HCI try to develop interactions and technologies that stimulate the user’s senses by means of novel digital interfaces. Marketing researchers are interested in innovating on, and improving the, multisensory experience online. Experimental psychology, on the other hand, seeks to understand how processes such as perception, attention and/or judgments, express, and are influenced by, these new technologies. By working together, these disciplines may facilitate the development of theories of consumer-relevant multisensory perception and action, and broaden the scope of multisensory experience design. In this Special Issue, we want to create an interdisciplinary research space in which to discuss the scope of Multisensory Consumer-Computer Interaction. We want to put the consumer at the heart of experience design by considering his/her senses and sensory needs. Our ultimate goal is to develop an interdisciplinary research agenda on the topic.

Long Range Planning


Mergers and acquisitions (M&As) have experienced an unprecedented increase over the last decades. In 2019, the value of global M&A transactions has increased to $3.7 trillion.[1] At the same time many M&As reportedly fail, or display ailing performance (Bauer & Matzler, 2014; Dyer, Kale & Singh, 2004).


Guest Editors:

Alfredo De Massis, Free University of Bozen-Bolzano, Italy and Lancaster University, UK

Kimberly A. Eddleston, Northeastern University, US

Isabella Hatak, University of St. Gallen, Switzerland

Ronald H. Humphrey, Lancaster University, UK

Danny Miller, HEC Montreal, Canada

Evila Piva, Politecnico di Milano, Italy

Yi Tang, University of Hong Kong, China

Engineering Management Journal

https://www.asem.org/EMJ

International Journal of Project Management


Academic research and practice have been increasingly centered around the broad umbrella term of resilience, reflecting the desire to understand the ability of ecological, technological, and social systems to perform despite predictable and unknown changes. In this special issue, we will focus on the discourse around the concept of resilience within the discipline of project studies. This focus is based the increasing trend of abrupt and chronic changes in social, environmental, and technical systems around the world. Examples of these include acute shocks in the form of social unrest, political conflicts, natural hazards, pandemics, as well as chronic stressors like climate change, social justice, financial instabilities, housing affordability, and their cascading impacts. Most recent examples include the ongoing COVID-19 pandemic that exposed a lack of resilience in established operations within societies at the global scale and the Australian Bushfires. There is a need for a paradigm shift on the concept of resilience within project studies. This special issue aims to instigate such a shift, soliciting interdisciplinary contributions from a range of domains of project studies across different levels of analysis, i.e., individual, teams/groups, projects, organisations, industry, and society. Contributions from broader but related disciplines within management, engineering, social sciences, natural sciences, or economics are welcomed as long as they touch on both topics of projects and resilience.

International Journal of Industrial Organization

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Review of Economics and Statistics

http://www.mitpressjournals.org/loi/rest

Entrepreneurship Theory and Practice

http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1540-6520?systemMessage=Wiley+Online+Library+will+be+disrupted+14+May+from+10-12+BST+for+monthly+maintenance

RAND Journal of Economics

http://www.rje.org/

Regional Studies

http://www.tandfonline.com/toc/cres20/current

Journal of Economic Behavior and Organization


Submissions open until December 31, 2021.


Submission start: 01-October-2021
Deadline: 31-January-2022


Guest Editor: Sebastian Galiani, University of Maryland


Guest editors: C. Bicchieri, E. Dimant, M. Gelfand and S. Sonderegger


The Journal of Economic Behavior & Organization will publish a special issue for papers exploring the relationships between social policy and economic behavior and outcomes. Social policy encompasses public policy legislations and program delivery practices in the areas of health and human services, poverty and inequality reduction, education, (im)migration, happiness and the labor market.

With this special issue we seek to expand our understanding of the relationships and dynamics between social policy and economic behavior and outcomes at individual, household and organization levels and across the social spectrum, the mechanism through which these relationships and dynamics take effect, as well as their implications for economic and social policy theories and practices.

The special issue invites articles that employ empirical methods (e.g. identification of causal relation) to study the economics of social policy and social issues. Submissions that are interdisciplinary in that they draw on behavioral insights from economics or adopt approaches and theories that inform economics using insights from other disciplines are particularly welcomed.


The subprime crisis, European sovereign debt, Brexit, the geopolitical crisis, the Coronavirus pandemic...


Guest Editors: Sefa Awaworyi Churchill (RMIT University), Simon Feeny (RMIT University), Russell Smyth (Monash University)


Guest Editors: Catherine Eckel (Texas AM University), Lionel Page (University of Technology Sydney)

Differences in the labor market and other economic outcomes of women and men have been attributed to a variety of different sources, including preferences, stereotypes and biased beliefs, cultural/social norms, external constraints (such has having children), and many others. The goal of this special issue is to move the field forward with original research, reviews or meta analyses, and development of new theory. We intend for this special issue to be an authoritative source that anchors, guides, and promotes future research in this area.


The Journal of Economic Behavior and Organization invites researchers to submit papers for a special issue on Institutions, Culture and Religion in Economic History for a special issue to be published in Spring 2021.


Extensive regulation of financial sector is being applied since global financial crisis which makes new stimulus to transformation of financial industry in a world perspective.

Information and Management


The landscape of entrepreneurship has changed strongly in recent years and a new phenomenon is spreading rapidly, namely transformational entrepreneurship. This emergent phenomenon is linked to the need to implement effective and efficient entrepreneurial behaviors that address global challenges (including unemployment, economic underperformance and societal evolution) (Maas & Jones, 2019). In this vein, entrepreneurial activity continues to evolve due to technological enhancement. In particular, recent developments in technology (Duan et al., 2019; Dwivedi et al., 2019) have led to new forms of entrepreneurship (Nambisan, 2017).


As the information systems (IS) discipline continues to mature and subsume various domains of research, opportunities to examine prior research, synthesize findings, resolve inconsistencies, identify gaps in knowledge, and determine directions for future research assume greater importance. These can be handled using meta-analysis, a family of methods which enables the aggregation and analysis of prior empirical findings (Glass et al. 1981; Hedges and Olkin 1985; Hunter and Schmidt 1990; Rosenthal 1991; Lipsey and Wilson 2001; Borenstein et al. 2009). Despite general criticisms such as “apples and oranges” and “garbage in, garbage out,” meta-analysis has received considerable attention in IS research over the last few decades (Jeyaraj and Dwivedi 2020).


Understanding how Information and Communication Technology (ICT) and culture affect decisions made by consumers, employees and managers is timely and of crucial importance for at least three reasons. First, ICT is a driving force behind almost any form of business globalization. ICT helps overcoming hurdles of globalization and international trade such as high transportation cost or inefficient information exchange with culturally diverse customers. Second, firms continue to expand into foreign countries. Fashion retailers (e.g., Desigual, H&M, Zara), fast-food chains and coffee shops (e.g., Maison Paul, McDonald’s, Starbucks), banks and financial service providers (e.g., Axa, HSBC) to name a few strive to open new stores and offices around the world with the aim to gain market share. Digital giants such as Google, Amazon or the leapfrogging Alibaba fuel this based on their advanced use of ICT and the ability to understand customer data. Third, not only do firms go abroad, but so do people. For example, roughly 20% of Canada’s population is foreign born, with new immigrants coming mainly from Asia and the Middle East. Similarly, roughly 20% of the French population is either foreign born or direct descendant of immigrants, most of whom have North-African origins. This raises broad questions about the management of ICT in view of cultural diversity and the role of ICT to connect people across countries or cultures.


The availability of and access to big data has changed, as digital transformation initiatives are increasingly maturing globally, assisted by the growth of computational capabilities (Grover et al., 2020). Whilst data availability and access used to be a major challenge for information systems (IS) research, the current abundance of big data has now resolved this considerably. The theoretical building blocks of IS research come mainly from management theory, organization theory, behavioural theory, computer science theories, and systems theory (Barki, Rivard and Talbot, 1993). Apart from the core computer science theories, the other related theories enable IS researchers to explain how users interact with technology artefacts within individual, organizational, social, and political contexts and the impact of such interaction. Theory building, however, seems to have been disrupted by the current trends in big data-driven research, whereby the essence of contributing to theory is increasingly seen to be lacking at all levels of analysis. Concurrently, big data-driven research may inspire contributions towards design science and action research, whereby innovative solutions may also be created which help to define ideas, capabilities, practices, and innovative products or services through big data analysis (Angelopoulos et al., 2020; Hevner et al., 2004).


The Global South (GS), a term both contested and misunderstood, has received renewed attention today. Collaboration among stakeholders representing—or claiming allegiance (e.g., China) to—the GS, is on the rise. The velocity and scope of business-to-business (B2B), sectoral, and industry collaboration prompts new modes of cooperation and new ways of thinking about the GS. A new subtle balance of power and influence in the GS permeates business and politics. In a number of ways, e.g., due to the FDI and GVC channels, the ‘Global North’ is influenced by these developments too. Certainly, there is more to it than that. The inroads of the broadly defined AI and the promises it bears will accelerate processes and developments already throbbing in the GS.


In the current digital era, small and medium-sized enterprises (SMEs) use digital technologies to grow their online businesses alongside their offline operations. The digital environment provides numerous opportunities for entrepreneurs who start and run SMEs to have an impact and grow their businesses. Retail industries and operations have had to adapt to the digital environment in order to adjust to the needs of customers around the world during the COVID-19 lockdown. There is a strong need for digital technologies in order to grow businesses with a restricted budget and limited resources. Emerging technologies, especially in data analytics (Sun et al., 2020), enterprise communication and artificial intelligence, are paving the way for SMEs’ growth and optimization.


Blockchain is not a buzzword anymore; instead, it is truly a radical innovation that has the potential to disrupt nearly every industry and societies in this world (Frizzo-Barker et al., 2020). Gartner estimates blockchain technology is accelerating at a fast pace which will deliver business value of over $3 trillion by 2030 (Gartner, 2019). Blockchain is a tamper-resistant online-distributed ledger that “keeps track of every transaction that has ever occurred” (Tapscott & Tapscott, 2016; p. 7). Consequently, there is no single central authority or server controlling the blockchain. Bitcoin, the popular cryptocurrency, was the first application of blockchain technology. The main idea behind the development of Bitcoin was to develop a distributed payment transaction system that enables highly secure and fast payments between a sender and receiver without the need for financial intermediaries (e.g., VISA, Mastercard, Banks) (Nakamoto, 2008).


By 2025, nearly a quarter (24%) of global GDP will come from digital technologies such as AI (World Economic Forum). AI has been claimed to offer almost unlimited potential across sectors and industries, ranging from reinventing business models to redesigning the customer experience to decision-making (Duan et al., 2019) to changing the nature and the future of work (Schwartz et al., 2019).

AI in the workplace environment may affect the nature of work, replace specific roles currently performed by humans, or even better, enhance human capabilities (e.g. AI-enabled recruiting) (Dwivedi et al., 2019). It is estimated that till 2030, automation and AI will significantly impact the one third of our work activities (Manyika et al., 2017). This means that the current way we work and operate might be altered radically, which can potentially cause significant societal changes.


Entrepreneurship contributes to the national and world economy in areas of employment, finance and economic growth and has received a lot of attention among academics, practitioners and policy makers (Janson and Wrycza, 1999; Rosenbaum and Cronin, 1993; Nambisan et al., 2019; Olanrewaju et al., 2020). The “entrepreneurship ecosystem” has become the principal symbol for leveraging an economic development strategy capable of nurturing entrepreneurship. Entrepreneurship ecosystems consist of interconnected elements that facilitate innovation and growth of entrepreneurship (Fetters et al., 2010; Kantis and Federico, 2012). Entrepreneurship ecosystem aims to include an encouraging environment through availability of financing, the acquisition and development of human capital, new markets for products and services and various governmental and infrastructural supports (Isenberg, 2011). Part of the entrepreneurial ecosystems is the development of programs, policies and initiatives to promote entrepreneurship and grow entrepreneurial activity across regions (Isenberg, 2014). In modern entrepreneurial ecosystems, a crucial role digitalisation which shapes value creation, delivery and capture in the economy and society (Von Briel et al., 2018 a,b; Nambisan et al., 2017; Nambisan et al., 2019; Yoo et al., 2010).


Gamification is emerging as one of the most promising futuristic trends in the area of Marketing. The term was first used by Bret Terill in 2008 who defined it as the process of using game mechanics with other forms of technology for the purpose of increasing engagement (Pace & Dipace, 2015). Described as a means to enhance overall consumer experience (Huotari & Hamari, 2012), gamification is increasingly being used by marketers in varying ways to engage their customers with the brands.  The concept has led to the integration of utilitarian and hedonic systems, making it one of the most assuring and compelling strategies of the future (Koivisto & Hamari 2019).

European Journal of Operational Research


Call for Papers
Special Issue of the European Journal of Operational Research (EJOR)
The role of Operational Research in the future epidemics/ pandemics

Background
In 1918-19, the Spanish flu (known as the 1918 influenza pandemic) infected around 500 million people across the world, which was one-third of the world’s population at the time. At least 50 million people died, including about 675,000 people in the United States . The recent disease outbreaks, including SARS between 2002 and 2004, H1N1 in 2009, Ebola between 2014 and 2016, Cholera (after Haiti earthquake between 2010 and 2019) and COVID-19 proved that our societies are not as resilient as perceived and definitely not prepared for such disasters. One century after the 1918 influenza, COVID-19 emerged in late 2019 in Wuhan, China. By April 9, 2020, over 1.6 million people were infected and approximately 95,000 people died.

Are we going to experience another catastrophe like the 1918 influenza? Can we anticipate the trajectory of the outbreak? Are there any ways to mitigate its impact? If this disaster is over, do we have any comprehensive plan to guarantee we can prevent a similar disaster again? How can models help us minimize economic impacts and relaunch the economy in such circumstances? In such an exceptional situation, many scientists are trying to contribute to the global effort to fight the pandemic in various disciplines such as healthcare, pharmaceutical, social, economic, operations, etc. How can Operations Research (OR) techniques contribute?


Applied Combinatorial Optimization has always received large interest in the scientific community. Thanks to the development of effective methods and innovative techniques, hard real-world problems can now be solved more efficiently, and new challenges arise, such as considering uncertain conditions, combining hard problems together, solving problems in real-time. The aim of the Feature Cluster “New trends in Applied Combinatorial Optimization” is to bridge the gap between science and real-world, by providing effective formulations and algorithms that allow solving practical problems. We solicit original and high-quality papers presenting innovative research in the field of Applied Combinatorial Optimization.


Call for papers: Advances in Data Envelopment Analysis


Call for papers: Extending the OR Horizons


Business Analytics: Defining the field and identifying a research agenda


Following the 2004 Indian Ocean tsunami, the world has witnessed devastating pandemics, natural and man-made disasters like the Haiti earthquake (2010), typhoon Haiyan (2013), the Ebola pandemic in West Africa (2014), the Nepal earthquake (2015), the war in Syria and the current on-going refugee crisis. Disasters like these put a lot of strain on the humanitarian system. According to United Nations Office for the Coordination of Humanitarian Affairs (OCHA) more than $19 billion was raised in donations in 2015, but the needs were much higher.

 

Evaluation Review

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Public Administration Review

Journal of Public Administration Research and Theory

Research Evaluation

https://academic.oup.com/rev

 

American Journal of Evaluation

http://journals.sagepub.com/home/aje

http://www.eval.org/p/cm/ld/fid=1