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Academy of Management Review

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http://aom.pace.edu/amr/

Academy of Management Journal

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http://aom.pace.edu/amj/

Administrative Science Quarterly

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

Management Science

http://pubsonline.informs.org/journal/mnsc

Organization Science

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http://pubsonline.informs.org/journal/orsc

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

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

http://journals.sagepub.com/pb-assets/cmscontent/JOM/JOM_RI2018.pdf

 

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


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


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.


Call for Papers – “Advanced TechMining: Measurement, Emergence & Indicators” Special Issue – Technological Forecasting and Social Change

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.


We invite papers to be considered for a Technological Forecasting and Social Change special Issue, which is at attracting contributions that explore novel analyses and approaches to technological prediction in a National Innovation System (NIS), using Big Data and Network Analysis techniques.


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


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.


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 (Liebana-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-Soderholm 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.


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: 31-Mar-2020


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


With the turn of the 21st century, scholars and policy-makers have witnessed a drastic shift in the way through which manufacturing businesses generate value-added. In this sense, manufacturing competitiveness increasingly relies on the successful implementation of product-service innovation (PSI) (Tongur and Engwall, 2014; Cusumano et al., 2015; Tietze et al., 2015), defined as servitization strategies that materialize in new ‘ways to do business’ by adding advanced services to the internal value chain (Baines et al., 2017; Rabetino et al., 2018; Visnjic et al., 2018).


Edited by
Bart Clarysse, ETH Zurich
Mike Wright, Imperial College Business School
Vivianna Fang He, ETH Zurich


Editor in Chief:
Jonathan Linton

Guest Editors:
Thomas Lager; thomas.lager@mdh.se
Jessica Bruch; jessica.bruch@mdh.se

Mälardalen University
School of Innovation, Design and Engineering
Sweden


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


Over the last decade, marketing has evolved arguably faster than any other discipline in the field of management, seeking to adapt to a series of structural changes. First, the rise of new technologies has impacted on most of the core marketing tools and changed the way the marketing function operates


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

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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https://academic.oup.com/icc

Industry and Innovation

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 World Development

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Evaluation and Program Planning

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Research Evaluation

https://academic.oup.com/rev

Scientometrics

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

Journal of Policy Analysis and Management

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Journal of Technology Transfer

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

Science and Public Policy

https://academic.oup.com/spp

 

Research-Technology Management

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

 

Harvard Business Review

https://hbr.org/

Journal of Marketing Managment

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Journal of Business Venturing


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


Deadline for submission: 30 July 2020


Deadline for submission: September 30, 2020


Industrial Marketing Management announces the call for papers for a special issue on moving toward autonomous solutions: The role of Product-Service-Software Systems


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


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 (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


Submission deadline: 1 February 2020


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


Submission: Between May 1 and July 31, 2020


Submission deadline: November 9th 2020


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


Guest Editors
Michael Haenlein, Professor, ESCP Europe, Paris, France
Andreas Kaplan, Professor & Dean, ESCP Europe, Berlin, Germany

Submission Deadline
15th of January 2020


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.


Edited by Altaf Merchant (University of Washington, USA. Email: altafm@uw.edu),  Justin Paul (Rollins College-Florida & University of Puerto Rico, USA. Email: justin.paul@upr.edu, jpaul@rollins.edu), Yogesh Dwivedi (Swansea University, England. Email:  y.k.dwivedi@swansea.ac.uk), and Gregory Rose (University of Washington, USA. Email: rosegm@uw.edu)


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

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


The behavioral perspectives in assessing different economic and financial risks have taken center-stage in policy debates since the global financial crisis. In this issue, we would like to attract papers that can explain sustained deviations from the standard predictions of the mainstream economic and financial models.


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).


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.


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).

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

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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