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Academy of Management Review

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Academy of Management Journal

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Administrative Science Quarterly

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Management Science

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Organization Science

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Strategic Management Journal

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Journal of Management studies

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Journal of International Business Studies

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Journal of Management

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Sloan Management Review

http://sloanreview.mit.edu/

IEEE Transactions on Engineering Management

http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=17#

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


Technology Transfer from National/Federal Labs and (Non-University) Research Institutes: Managerial and Policy Implications


The Call for papers for this Special Issue aims to explicitly tackle the governance of AI, robotics and the digital transformation.

Subthemes: The effects of AI, robotics and the digital transformation on labour markets; Penetration and regulation of digital technologies; The value and governance of data.

Deadline for submission of full papers to Guest Editors for the ISS: June 1, 2020.


Conference Submission Deadline: March 1, 2020
Journal Submission Deadline: October 1, 2020

Guest Editors: Carliss Baldwin, Marcel Bogers, Rahul Kapoor, Joel West
Research Policy Lead Editor: Ammon Salter


Guest Editors
David Teece, University of California, Berkeley
Lee Fleming, University of California, Berkeley
Maryann Feldman, University of North Carolina-Chapel Hill
Sohvi Heaton, Loyola Marymount University
Samee Desai, Kauffman Foundation


Guest Editors
• Silvia Massini, The University of Manchester, UK
• Lucia Piscitello, University of Reading, UK, & Politecnico di Milano, Italy
• Tommaso Ciarli, SPRU, University of Sussex, UK
• Martin Kenney, University of California, Davis, USA

Technological Forecasting and Social Change


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).


Technological Forecasting & Social Change will take part in the Conference of the Academy of Innovation, Entrepreneurship and Knowledge at ESIC Business & Marketing School in Madrid (Spain) from June 23 to 25, 2020. TF&SC will publish a Special Issue linked to the Conference topic on technological change and social or organizational change.


TF&SC will take part in the Conference of the Academy of Innovation, Entrepreneurship and Knowledge at ESIC Business & Marketing School in Madrid (Spain) from June 23 to 25, 2020. TF&SC will publish a Special Issue linked to the Conference topic on technological change and social or organizational change.

We are open to exploring topic areas that are new to TF&SC and that are newly or soon-to-be important for policy or industry. The Special Issue is also open to imaginative and interesting ideas that fit within the spirit of the journal. Both empirical and conceptual papers are welcome, as are novel or emerging research methods.


“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.


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


We are very pleased to announce a special issue on “Peace Engineering and Innovation: A New Techno-Socio-Economic Development Framework.”  Peace Engineering and Innovation provides a new framework for viewing and shaping emerging technologies and innovations.  It is an integrative discipline that creates technologies, processes, and approaches that have the potential to increase peace in the world.


We stand on the brink of a fourth industrial revolution, a technological revolution that is aimed to fundamentally alter the way economies, societies and global financial systems work. The scale and significance of the fourth industrial revolution are unprecedented so is its complexity. The fourth industrial revolution is building on the foundation of the digital (third) revolution and it entails a fusion of technologies that blur the physical, digital, and biological demarcation. The artificial intelligence, neural networks and deep learning, autonomous vehicles, 3-D printing, Fintech and blockchains are a few tops of the shelf examples of the fourth industrial revolution. The changes are occurring at an exponential rather than a linear rate, encompassing all aspects of human society and the financial sector, and are at the forefront of any technological development. There has been a very rapid increase in the size and significance of technological innovations, particularly through influencing the financial sector and global economy, thereby encompassing almost every social activity. The intelligent technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, have become increasingly influential causing monetary and financial authorities and governments to adjust their stance in line with these developments.


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.


Overview and Motivation

Historically, much of the research on technology development and technology strategies has concentrated on industrialized nations with stable institutional environment (see Amankwah‐Amoah, 2019; Cavusgil, Knight & Riesenberger, 2012; Peng, 2014). These settings characterized by well-developed market supporting mechanisms such as legal system and capital market provide the foundations for business transaction s and activities to flourish (Khanna & Palepu, 1999). In sharp contrast to industrialized nations, emerging economies are generally characterized by “institutional voids” (Khanna & Palepu, 1999) such as lack of transparency, red tape, bureaucracy, administrative delays, inadequate disclosure regime, corruption and political instability referred to as (Acquaah, 2007; Ricart et al., 2004). In recent years, the rise of emerging markets such as Turkey, Indonesia, China, Mexico, Brazil, India and South Africa have also unleashed new sources of opportunities and threats for firm seeking to expand and competing successfully around the globe.

For many businesses, avoiding such promising emerging markets and sectors is no longer an option (see Peng, 2014). As such, creating effective strategies to navigate such environment has become an essential ingredient for success (Cavusgil et al., 2012). A large body of research has demonstrated that prior experience of firms competing in emerging markets and dealing with the institutional voids equip them better when entering other emerging markets (Khanna & Palepu, 1999; Lall, 1983). Indeed, emerging markets are often viewed by emerging market multinational enterprises (EMMNEs) as training grounds or “learning laboratories” to build the capabilities, resources and market power which equip them to compete with and outwit global incumbents (Amankwah-Amoah & Debrah, 2014; Cavusgil et al., 2012; Hitt, Li &Worthington, 2005; Ramamurti & Singh, 2009). Although many EMMNEs may not possess cutting-edge technologies, global brands and international experience, they often outperform counterparts from developed markets when entering other emerging markets (Ramamurti, 2012).


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).


TFSC Call for Papers
Special Issue on Block Chain Technology and Management
Co-editors for the special issue
Dr. Nazrul Islam, University of Exeter Business School, University of Exeter, England, UK N.Islam@exeter.ac.uk
Dr. Yorgos Marinakis., ymarinak@unm.edu


Special Issue Editors
Dr. Yichuan Wang
University of Sheffield, United Kingdom
yichuan.wang@sheffield.ac.uk

Dr. William Yu Chung Wang
University of Waikato, New Zealand
wwang@waikato.ac.nz

Dr. Minhao Zhang
University of Bristol, United Kingdom
minhao.zhang@bristol.ac.uk

Prof Danae Manika
Newcastle University, United Kingdom
Danae.Manika@newcastle.ac.uk

Prof Savvas Papagiannidis
Newcastle University, United Kingdom
savvas.papagiannidis@ncl.ac.uk


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


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

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

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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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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


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

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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


Besides the humanitarian crisis caused by the corona pandemic, many, if not all, business-to-business firms are struggling in this unprecedented global crisis, as illustrated in increased safety measures to protect employees, supply chain disruptions, maintaining daily operations, plummeting customer demand, lack of cash flow, regulatory uncertainty, and many other issues.


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).


Incorporating sustainability into strategies, tactics and operations constitutes a fundamental challenge for contemporary industrial firms (IPCC, 2012; WWF, 2012).


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.


Deadline for submission: 30 July 2020


Deadline for submission: September 30, 2020


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


Industrial Marketing Management announces a call for papers for a Special Issue on Customer Engagement Design in Industrial Innovation.


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


Industrial Marketing Management announces a call for papers for a special issue on disruption management in business-to-business markets.


Submission deadline: 31 May 2020

Journal of Operations Management

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Quarterly Journal of Economics

https://academic.oup.com/qje

Journal of Business Research


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).


Knowledge-intensive entrepreneurship (KIE) represents a socioeconomic phenomenon that drives economic competitiveness and innovative capabilities (Ács et al., 2017).

Open for submissions: March 1, 2020
Deadline for submissions: October 14th 2020


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


Proper measurement of constructs is of utmost significance in behavioural and social sciences (Day & Montgomery, 1999) and represents an important field of enquiry (Lee & Hooley, 2005). Scales associate abstract concept(s) to empirical indicants according to particular rules and relevant overarching theory (Aiken, Bee, & Walker, 2018; Cools & Van den Broeck, 2007; De Vellis, 2017; Netemeyer, Bearden, & Sharma, 2003).


Submissions Open: 30 August 2020

Submission Deadline is 10 October, 2020

The sharing economy (SE) has disrupted various service sectors within the last decade, notably tourism and hospitality, transport, retail, and professional services.


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 July 31, 2020


Submission deadline: February 28th 2021


Climate change has caused severe and irreversible impacts on the natural systems which underpin the sustainability of human well-being.


Guest Editors
Dr. Debmalya Mukherjee, University of Akron, USA
Dr. Chinmay Pattnaik, University of Sydney, Australia
Dr. Satish Kumar, Malaviya National Institute of Technology, India


Research on the dark side of B2B relationship has attracted significant scholarly attention in the last two decades (Anderson & Jap, 2005; Mooi & Frambach, 2012). The scholarly interest arises from the theoretical and practical importance of this area of research.


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).


Guest Editors:
Stefano Bresciani, University of Turin,
stefano.bresciani@unito.it

Kun-Huang Huarng, National Taipei University of Business,
khhuarng@ntub.edu.tw

Arvind Malhotra, University of North Carolina
Arvind_Malhotra@kenan-flagler.unc.edu

Alberto Ferraris, University of Turin,
alberto.ferraris@unito.it


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


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


New developments such as the global disaggregation of value chains, the emergence of cooperative innovation frameworks, and the changing position of firms in the larger ecosystem create new challenges for senior leaders. These leaders may therefore call on different actors, both within and beyond firm boundaries, to assist in decisions pertaining to key organizational processes and outcomes (Alexiev, Jansen, Van den Bosch, & Volberda, 2010; van Doorn, Heyden, & Volberda, 2016).

Engineering Management Journal

https://www.asem.org/EMJ

International Journal of Project Management

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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


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.


Understanding expectation building is of crucial importance for both policymakers and academics. The famous Lucas critique has triggered a wide interest in the modeling of expectations. Influencing expectations and reducing disagreement among forecasters has also emerged as one of the most important policy tools conducted by central banks in the aftermath of the global financial crisis.


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


Data-driven innovation (DDI) has been regarded as the fastest emerging driver of transformational product development opportunities in digital markets (Davenport & Kudyba, 2016; Delen & Demirkan, 2013). In recent years, digital giants Amazon, Alibaba, Tencent, Google, Apple, and Facebook are enjoying stronger competitive advantages from DDI (Akter and Wamba, 2016). It is fuelled by the advancement in information and communication technologies (ICT), strong data management and analytics capabilities, robust data governance, application of smart machines (Ransbotham and Kiron, 2017), growth of investment in big data and AI initiatives, building a data culture accompanied with organizational alignment and cultural compliance (Duan et al., 2018). Examples of new product developments using DDI is evidenced by Facebook’s “People You May Know” to connect people based on mutual friends, work, education information, and other factors or, LinkedIn’s “Jobs You May Be Interested In” and “Groups You May Like”(Davenport, 2013).


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.


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).


Information technology advancements continue to fuel much excitement among marketers. There are many value creation opportunities from changes in both the technology and consumer behaviour landscapes, and they are arising and evolving rapidly. However, as new technology (e.g., artificial intelligence, Internet-of-Things-based applications, cryptocurrencies) complements and replaces established technology (e.g., online retailers, websites, digital advertising tactics) excitement often turns into confusion. Confusion often stems—for even the most seasoned managers—out of a sense of uncertainty and imbalance about the question of when to adopt what information technology to maximize value creation opportunities along the customer journey (Gartner Research 2019). The explosion in potential customer touch points along the customer journey and the reduced control over the customer experience create a need to develop a stronger understanding of information technology changes, and to wholly embrace technological transformation across the business, to create and deliver customer value (Lemon and Verhoef, 2016). In this hyper-connected business landscape, companies need to move away from traditional methods of value creation and embrace a more customer-centric and solution-oriented approach (Johannessen & Olsen, 2010). Importantly, an interplay of technological, human and relational aspects underpins this value creation process (Božič & Dimovski, 2019). Such a rapidly changing business landscape coupled with the accelerated development of new technologies is altering the very nature of interactions between consumers, technologies and companies (Larivière et al., 2017). These changes have created a need for more research that fosters an understanding of customer needs across touchpoints with the firm. Similar research efforts have significant potential implications for increased customer retention, higher levels of customer engagement and higher firm profitability (Gursoy et al., 2019; Voorhees et al., 2017).

European Journal of Operational Research


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