Academy of Management Review

Error parsing: Query returned empty response
Error parsing: Query returned empty response

Academy of Management Journal

Error fetching: cURL error 6: Could not resolve host:

Administrative Science Quarterly

Management Science

Organization Science

Error parsing: Query returned empty response Quick Help

Strategic Management Journal

Error parsing: Query returned empty response
Error parsing: Query returned empty response

Error parsing: Query returned empty response
Error parsing: Query returned empty response

Journal of Management studies

Error parsing: Query returned empty response
Error parsing: Query returned empty response
Error parsing: Query returned empty response

Journal of International Business Studies

Error parsing: Query returned empty response

Journal of Management


Sloan Management Review

IEEE Transactions on Engineering Management

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 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

Error parsing: Query returned empty response

International Journal of Technology Management


Error parsing: Query returned empty response

R&D Management

Error parsing: Query returned empty response Error parsing: Query returned empty response

Research Policy

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

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
Dr. Yorgos Marinakis.,

Special Issue Editors
Dr. Yichuan Wang
University of Sheffield, United Kingdom

Dr. William Yu Chung Wang
University of Waikato, New Zealand

Dr. Minhao Zhang
University of Bristol, United Kingdom

Prof Danae Manika
Newcastle University, United Kingdom

Prof Savvas Papagiannidis
Newcastle University, United Kingdom

Scenario Planning and Foresight: Advancing Theory and Improving Practice
A special issue of TFSC edited by:
George Wright (
Frances. O’Brien (
Maureen Meadows (‎
Efstathios Tapinos (
Neil Pyper (

Social-economic Costs of and Environmental Management Contributions to Carbon Emission Reductions In 2015, the Paris Agreement reset its long-term goal for countries to limit the global mean temperature increase to 1.5°C above pre-industrial levels. Moving the goal from 2°C to 1.5°C means great efforts should be taken to curb greenhouse gas emissions, thus more strict environmental management regulations on industrial sectors are required to make further contributions to reducing carbon emissions. Such regulations will affect countries’ economic development and global trade. In this context, developing climate change economic models to evaluate economic and social costs of carbon emissions and carbon reductions, and further exploring what environmental management regulations should be implemented and how will they contribute to carbon emission reductions are of great significance for formulating mitigation and adaptation strategies to tackle climate change.

Guest Editors
Jean-Michel Sahut IDRAC Business School (France)
enis Schweizer Concordia University (Canada)
Marta Peris-Ortiz Universitat Politècnica de València (Spain)

Submission Deadline: February, 15th 2020

Aims and Scope

After more than two decades of the takeover of the global communication by the Internet, organizations are revisiting their security models. Initial concerns about e-commerce such as how to obtain a faceless remote transaction between individuals and organizations; how to gain the trust of the consumers in a virtual world or the best way to secure a friendly and secure payment system are still present (Liébana-Cabanillas et al., 2019). Although tested technological solutions and appropriate business models afford a solid base to face these problems with confidence, scholars and practitioners strive to reduce more and more the barriers, considered not much time ago insurmountable, to obtaining a global and powerful e-market. The big problems of an open channel like the Internet, on which communications may be intercepted by an unauthorized party, are cybersecurity and privacy, and these are permanent issues in the researchers’ agenda (Srinivas et al., 2019; Warner-Søderholm et al., 2018; Sahut et al., 2018; Saridakis et al., 2016).

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.

Special Issue
Tension in the Data Environment:
Future Implications for Individuals, Organisations and Society

Call for Papers: Technological and social innovation for better mobility and quality of life


With the continuous emergence of technological and social innovations especially with the development of big data and internet technologies, transportation and urban systems are undergoing tremendous change. The mobility of humans continues to evolve and contribute to quality of life, with the transportation sector in many cases a catalyst or enabler for technological innovation outside the sector. As future urban transport systems evolve, new tasks emerge: developing innovative methodologies and modes to maximize the public’s accessibility to required facilities by improving public service level while concurrently minimizing transport related consumption. The system of which will positively contribute to mitigating some of the grand challenges facing humans, such as climate change and pollution, thus ultimately improving quality of life for mankind.

Heuristics in Technological Forecasting and Social Change

The implications of climate change demand a response through changes in technology policy, lifestyle, and economics. In terms of human response, the answers to this challenge are unlikely to come from isolated solutions. Instead, the global repercussions of the problem also demand global responses that entail the participation and collaboration of different groups and interests.

Submission Deadline: March, 31st 2020

This special issue connects various fields of innovation studies and related theories - with national and international perspectives worldwide - that include: “National and Regional Innovation Systems”, “Economic Development”, and “Public (particularly Science, and Technology and Innovation [STI]) Policies”. Currently, there are few research or scholarly works that attempt to bring these streams of research together in a form that better serves humanity. This Special Issue seeks to synthesize the emerging knowledge and understanding in these areas of research and contribute to theory, policy and practice. The aim is to produce and disseminate fresh knowledge in the field of Innovation and Development from a range of country perspectives, by ensuring that the papers selected for the special issue focus on:

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.

This Special Issue is closely related to the 10th Global Innovation and Knowledge Academy (GIKA) Conference (June 2019, Verona, Italy), where the Special Issue Guest Editor will organise a track on this topic. Papers that are accepted and presented at the GIKA Conference will be eligible for publication in the Special Issue. Please note, however, that only papers by participating authors who thoroughly review relevant studies that have been published in TFSC 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 TFSC Special Issue on Changing Organisations and Markets: Knowledge Co-Creation, Business Model Innovation, and Adaptive Management for Sustainable Development, provided the paper has been carefully written for the TFSC readership.

Overview 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, Small and Medium Enterprises (SMEs_, and in most important cities).

Background and Context

We attempt to initiate the description of the context of grassroots and inclusive innovations with a help of two examples, both coming from development economies. These, and the rest of this section, are to stimulate and excite interest in these phenomena, and to create a venue for dissemination of related ideas.

Smart cities have played a key role in transforming different areas of human life, involving with sectors such as transportation, health, energy, and education. Identifying and obtaining valuable information from large amounts of weather data can be extremely beneficial in terms of agricultural development. Governments have begun to embrace smart city ideas to improve the living standard of their citizens and to implement big data applications. Big data and analytics for the smart city can transform every sector of a nation’s economy. Surveillance and monitoring in the cities can be tracked in real-time. Any suspects of terror attacks and fraudulent activities can be detected and cities becomes intelligent to respond to any critical moments. Such transformation enables cities to adopt the learning principles and requirements of the applications of the smart cities by executing main smart environment characteristics, which include, sustainability, resilience, governance, improved quality of life, business opportunities, collaboration and intelligent management of natural resources and city facilities.

The process of ‘shifting wealth’ denotes the increasing economic weight of emerging and transition economies in the world economy. This trend was particularly discernible until 2008 after which we have seen narrowing of the growth differentials and the increasing awareness of the emergence of the so-called middle-income trap in the emerging and transition economies.

Currently there are more than 140 ongoing Smart Cities projects around the world (Lee et al., 2014). Smart Cities initiatives aim to “provide more efficient services to citizens, to monitor and optimize existing infrastructure, to increase collaboration amongst different economic actors and to encourage innovative business models in both private and public sectors" (Marsal-Llacuna et al., 2015: p. 618).

Background and Context

In the last 5 years, empirical evidence suggests the rise of a new category of Entrepreneurship:
Digital Entrepreneurship, as a relevant socio-economic and technological phenomenon, which can be considered as the joining of traditional entrepreneurship with an emphasis on leveraging new digital technologies in novel ways, such as social, mobile, analytics, cloud and cyber-solutions, all in order to shift the traditional way of creating and doing business in the digital era.

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: Disruptive Technology and Innovation in Society

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


Editor in Chief:
Jonathan Linton

Guest Editors:
Thomas Lager;
Jessica Bruch;

Mälardalen University
School of Innovation, Design and Engineering

TIM implications of how companies are responding to Climate Change

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

Guest editors:

Jason Li-Ying, Technical University of Denmark
Wolfgang Sofka, Copenhagen Business School
Philipp Tuertscher, VU Amsterdam

European Management Journal

Deadline: June 16th 2019 -  January 16th 2020

Guest editors:
Antonio Meles, University of Campania ‘Luigi Vanvitelli’, Italy
Francesco Schiavone, University of Naples ‘Parthenope’, Italy
Vincenzo Verdoliva, University of Naples ‘Parthenope’, Italy

Deadline: December 1st 2018-February 14th 2019

Guest editors:
Christian V. Baccarella, University of Erlangen-Nürnberg, Germany
Jan H. Kietzmann, Gustavson School of Business, University of Victoria, Canada
Ian P. McCarthy, Beedie School of Business, Simon Fraser University, Canada
Timm F. Wagner, adidas AG, Germany

Deadline: November 1st, 2018

Guest Editors
Wafa Khlif, Toulouse Business School, Barcelona
Thomas Clarke, University of Technology, Sydney
Coral Ingley, Auckland University of Technology, Auckland
Lotfi Karoui, Ecole de Management Normandie, France
Konan A. Seny Kan, Toulouse Business School, Barcelona

Organization Studies

Error parsing: Query returned empty response

International Journal of the Economics of Business


Error parsing: Query returned empty response

 Journal of Economics and Business

Error parsing: Query returned empty response

Journal of Economics and Management Strategy

Managerial and Decision Economics

Economics of Innovation and New Technology

Industrial and Corporate Change

Discover now

Industry and Innovation

Error parsing: Query returned empty response

 World Development

Error parsing: Query returned empty response

Evaluation and Program Planning

Error parsing: Query returned empty response

Research Evaluation


Journal of Policy Analysis and Management

Error parsing: Query returned empty response

Journal of Technology Transfer

Science and Public Policy


Research-Technology Management


Harvard Business Review

Journal of Marketing Managment

Error parsing: Query returned empty response

Journal of Business Venturing

The guest editors invite papers for consideration for publication in the Journal of Business Venturing for a special issue on the topic “Entrepreneurship & Wellbeing.”

American Economic Review

Journal of Marketing Research

California Management Review

Paper Calls and Special Sections

Management Information Systems Quarterly

MIS Quarterly Author Development Workshop at PACIS — July 10

MIS Quarterly Author Development Workshop at AMCIS — August 14

Faculty Position: University of Minnesota

Post-Doctoral Research Assistnt Position: University of Minnesota

Copyright Violations

Journal of Applied Psychology


Small Business Economics

Industrial Marketing Management

Industrial Marketing Management announces the call for papers for a special issue on “Strategic Enablement in Business Markets”

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 (

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

Deadline for submission: 1 October 2019

Deadline for submission: October 31st 2019

Submission deadline: 1 February 2020

Submission deadline: 31 May 2020

Journal of Operations Management

Error parsing: Query returned empty response

Quarterly Journal of Economics

Journal of Business Research

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).

Mainstream marketing often implicitly built on neoclassical economics, and ended up viewing the market as an a priori, self-generating reality (Ellis et al. 2010), which is “given” and outside the control of the firm (Coviello and Joseph 2012). Thus, the market orientation and marketing capabilities literature was traditionally dominated by sense-and-respond discussions (Morgan 2012), where the job of marketing was to generate better understanding of the market and help the organization to respond to this understanding.

ubmission deadline: January 11, 2020

Special Issue Editors:

• Carlos Velasco, BI Norwegian Business School, Norway,
• Tsutomu Sunaga, School of Business Administration, Kwansei Gakuin University, Japan,
• Takuji Narumi, The University of Tokyo, Japan,
• Kosuke Motoki, Tohoku University School of Medicine, Japan,
• Charles Spence, University of Oxford, UK,
• Olivia Petit, Kedge Business School, France,

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.

Edited by Altaf Merchant (University of Washington, USA. Email:,  Justin Paul (Rollins College-Florida & University of Puerto Rico, USA. Email:,, Yogesh Dwivedi (Swansea University, England. Email:, and Gregory Rose (University of Washington, USA. Email:

Submissions deadline: November 1, 2019

Deadline for submission: January 11, 2020

Long Range Planning

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).

The aim of this special issue is to advance theory on and present empirical evidence of how firms manage corporate decline and turnaround in times of the ‘digital revolution’ (Brynjolfsson & McAfee, 2012).

Engineering Management Journal

International Journal of Project Management

Error parsing: Query returned empty response

International Journal of Industrial Organization

Error parsing: Query returned empty response

Review of Economics and Statistics

Entrepreneurship Theory and Practice

RAND Journal of Economics

Regional Studies

Journal of Economic Behavior and Organization

Existing literature has no consensus on the impact of technical change and international trade on the labor market. The recent advances in information technology and artificial intelligence and debates on trade and globalization have changed the way in which economists and policy-makers usually think about the implications that technical change and international trade may have on employment, productivity, wages and income, welfare, and other labor market outcomes in both advanced economies and emerging economies.

Information and Management

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).

The purpose of this special issue is to shed some light on how organizations plan their AI initiatives, how they organize to create value, the enablers or hindrances they realize during the process of adoption and diffusion, and how value from AI investments can be captured and amplified. We welcome submissions of original manuscripts that advance empirical, theoretical and conceptual understanding of how AI drives digital business strategy and how it can lead to value creation. Manuscripts must have strong implications for theory and practice. The aim of this special issue is to broaden interdisciplinary perspectives on emerging technological innovations, information systems and digital business strategy research.

In contrast to traditional database applications, the process of building Business Intelligence (BI) applications is complex, expensive, and time-consuming. Given these characteristics, companies willing to conduct a BI project should never start it unless managers are convinced that its benefits outweigh the cost, known as Return Of Investment (ROI). Survey studies conducted by analytical companies conclude that the BI technology provides a good payback, in the sense that the average ROI for a BI is far above the industry average, confirming the added-value of this technology.

With the arrival of Big Data (Gandomi & Haider, 2015), companies owning BI applications had to change their strategy and align it. This alignment comes from facing the V's brought by Big Data (Volume, Variety, Velocity, Veracity, Value). This situation pushes these companies to get benefit of distributed programming, cloud computing, parallel processing and so on during their BI projects. These technologies will have an added value on the final BI projects.

Nowadays supply chains face market, industry and organizational challenges. To cope with them, operational planning must employ suitable decision-making approaches along with information systems, leveraging new capabilities derived from the digitalization of production, operations and logistics. Information systems include data acquisition and data processing, as well as communication capability embedded in technological devices. Big Data has affected business intelligence and new trends such as fast analytics and data science have emerged (Larson and Chang 2016, Kumar et al. 2018). These trends have motivated new initiatives by leading companies (Gandomi and Haider 2015) with potential impact across firms and organizations (Wamba et al. 2017; Gunasekaran et al. 2017; Chae 2019). Indeed, proper decision-making approaches can employ optimization, simulation, data analytics or hybrid methods and models, e.g., digital supply chain twins. A digital supply chain twin is a data-driven model that represents the state of the network in real-time (Ivanov 2018).

Growing computational power along with the evolving capability of decision-making methods will support an integrated monitoring and steering of manufacturing systems and supply chains (Monostori et al. 2016) within and across industrial companies. An increased use of information and communication technology, which connects physical and information flows in cyber-physical systems allows suitable data exchange, in terms of frequency and scope. The cyber-physical vision push forward the possibility of acquiring real-time system state data to support better decisions (Ivanov et al. 2018).

This special issue solicits papers presenting innovative research at the nexus of text mining and social network analysis. Topics of interest include (but are not limited to) the following:

- Content and discourse analysis
- Text mining and natural language processing
- Statistical analysis of textual data
- Study of co-occurrence networks of words
- The impact of language use on social networks
- Big Data analytics of large text corpora
- Extraction of socio-semantic networks from natural language text data

The above-mentioned topics should always be combined with the study of social networks: intended either as networks of people, groups and organizations, or as network of words, concepts and topics. Work at the intersection of these fields lags behind in theoretical, empirical, and methodological foundations.

With the increase of big data in diverse application fields, big data computing and application service is becoming a very hot topic among academic researchers, industry practitioners, and government agencies.

The massive amounts of social media data such as consumer subjective opinions, recommendations and ratings, and consumer behavioral data stored in social networking sites could be a valuable source of supporting firms’ marketing activities if it is analyzed in meaningful ways. Business intelligence and analytics (BI&A) is increasingly advocated as an important IT breakthrough to fill this growing need. However, BI&A is challenging for firms seeking to adopt a thoughtful and holistic approach to analyze and harness social media data. There are several major obstacles, including the lack of data integration, data overload issues, and barriers to the collection of high-quality consumer data, and organizational culture and change management that prevent firms from fully embracing BI&A and gaining the benefits. The value of social media data is rarely discovered, analyzed and visualized, either for creating marketing insights and knowledge to complement the insufficiency of intrinsic organizational knowledge or as a roadmap for improving service quality and firm performance. As a result, there is a need for further research to: (1) explore how to utilize social media data to capture consumer insights from the enormous variety of user-generated content in social media platforms, and (2) examine how BI&A enables firms to create business value and sustain a competitive advantage.

Cloud Computing consists of three major services: Infrastructure as a Service, Platform as a Service and Software as a Service and four main types of Clouds: Public Cloud, Private Cloud, Hybrid Cloud and Community Cloud. Cloud Computing offers an emerging service delivery that supports the organizational IT strategy, design, transition, operation and continuous service improvement. Cloud Computing has transformed the way many organizations work and offers added value for operation management and service computing. There are reported benefits such as agility, resource consolidation, business opportunities and green IT. There are cases where organizations can improve on their efficiency, technical performance, and usability in using or adopting Cloud Computing services due to the fusion of mature technologies such as virtualization, web services, information retrieval, large scale data processing, visualization, storage and backup, high performance calculations, and APIs on portable devices and Cloud Computing. Thus, this makes an interesting observation to understand what types of services are offered and what their contributions can provide. Amongst some of the existing and new services, some offer added value and innovation. For example, Weather Visualization as a Service can allow the general public to know the distributions of temperature of the entire country at one glance. Healthcare Informatics as a Service allows the scientists to understand the complexity in the genes, proteins, DNAs, tumors and human organs such as brains and hearts. Business Intelligence as a Service allows the researchers and finance specialists to calculate risk and return in real time and recommend the best actions based on the data analysis. Combining with Software Analytics and Software as a Service (SaaS) in the Cloud, Cloud Computing services can offer many other more incentives than the majority of information technologies available, since results can be computed in seconds and can be easy to understand. This motivates us to offer an IJIM special section: Emerging Services and Analytics.

Social media have provided new opportunities to consumers to engage in social interaction on the internet.

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.

Stochastic optimization involves mathematical methods for optimal decision making when important model parameters are random. Its importance is demonstrated by a wide diversity of applications, spanning, e.g., energy, health, transportation and logistics, business analytics, finance, education, agriculture, public sector analytics, supply chain management, and the internet. Further applications arise in laboratory settings to help with drug discovery or materials science, design of computer simulations, field experimentation and implementation, covering strategic, tactical and real-time problems.
The application settings are so broad that multiple disciplines have evolved to respond to the different problem characteristics and research questions. Fields have developed with names such as stochastic programming, dynamic programming (including Markov decision processes, approximate/adaptive dynamic programming, and reinforcement learning), stochastic control, stochastic search, robust optimization, online computation, and stochastic equilibrium. Just as important are fields that evolved around learning unknown functions, including global optimization, ranking and selection, and the multi-armed bandit problem. Of increasing importance is the close relationship between stochastic optimization and machine learning, and the importance of careful modeling of stochastic processes, which is creating bridges to the field of uncertainty quantification.

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

Error parsing: Query returned empty response
Error parsing: Query returned empty response

Public Administration Review

Journal of Public Administration Research and Theory

Research Evaluation


American Journal of Evaluation