Management and Organization ReviewManagement InsightsAssociation Books

Information for Contributors

Official Journal of the International Association for Chinese Management Research (IACMR)
Sponsored by Peking University and The Hong Kong University of Science and Technology.
Published by Cambridge University Press.
MOR is published three times a year, in March, July, and November.

1. Editorial Statement

2. Submission Guidelines

3. Reviewer Guidelines

4. Editorial Team

5. Editorial Review Board

Editorial Statement

Management and Organization Review (MOR) aims to be the premier journal for advancing indigenous management and organization research in China and all other transforming economies. 

MOR is a multidisciplinary journal rooted in the behavioral, social, and economic sciences underlying management research, broadly defined. MOR seeks to publish research from diverse social science disciplines, including international business, organizational behavior, organization theory, social psychology, sociology, cultural anthropology, political science, economics, strategic management, economic geography, development studies, innovation theories, public administration, urban planning, cross-cultural studies, and cognitive science. 

The editors recognize that new insights emerge at the intersection of established theories and research methods. They also realize that many of the established theories were developed in western, educated, industrialized, rich, and democratic societies. Therefore, MOR aspires to attract manuscripts that complement such established theories with indigenous data and indigenous theories. Such papers must justify and discuss the contextual, cultural, and institutional applicability of testing established theories in the context of China or other transforming economies. MOR welcomes comparative studies in which comparison to non-transforming economies highlights unique indigenous aspects of transforming economies. MOR also seeks papers that observe actual indigenous phenomena and involve abductive reasoning and new insights to arrive at a novel understanding of phenomena that are new to the literature and contextually relevant to China or to other transforming economies.

Papers published in MOR can focus on all types of organizations, such as firms, academic, educational, and cultural institutions, not-for-profits, governmental and nongovernmental organizations, and state-owned enterprises. 

MOR is open to diverse and rigorously executed research methodologies, including qualitative research, surveys, archival and historical analyses, content analysis, laboratory and field experiments, simulations, and computational methods, as well as papers that synthesize or translate theories and empirical research that make research accessible to scholars outside disciplinary subfields. 

When considering papers submitted to MOR, the Editors consider the following questions:  

1. Is the paper intended for MOR? (e.g., literature review is embedded in discourse related to MOR and shows understanding of up-to-date research published in MOR) 

2. Does it fall within the domain of MOR? (e.g., contextually specific to China or other transforming economies)

3. Is it forward looking? Does it offer fresh insights? Does it break new ground? Does it elucidate indigenous management theories outside disciplinary subfields? 

4. Does the empirical analysis and methods satisfy rigorous requirements for scientific research, for example falsifiability, data transparency and replication criteria? One of the strengths of MOR is the methodological diversity of the journal, but different methods have different quality mechanisms. For example, for historical methods replication is not relevant - traceability of evidence is.

Perspective Papers
To enrich scholarly discourse and promote theoretical innovation, MOR will occasionally publish perspective papers that direct attention to new important phenomena or that redirect or shut down a line of research. The Editor-in-Chief oversees the review of perspective papers. Accepted perspective papers may be followed by one or more invited commentaries. 

Dialogue, Debate, and Discussion (D3) Submissions
The goal of the D3 editorial area is to attract discourse that breaks ground at the crossroad of disciplinary exchanges on related topics, revisit past debates, and highlight important current issues in management and globalization. It features essays and interviews designed to stimulate and engage vibrant Dialogue, Debate, and Discussion 

Submission Guidelines

Online Submission
Please submit manuscripts online through the MOR ScholarOne Manuscripts site at

Manuscript Format
Manuscripts must be double-spaced throughout (this includes notes and references) with all margins at least one inch and no more than 40 pages. The first page of the manuscript should include a title, an informative abstract of no more than 200 words, and three to five keywords or phrases. References must be listed alphabetically. All tables and figures should be at the end of the manuscript, after the references.

Editorial Review Process
Management and Organization Review has a decentralized editorial structure composed of Senior Editors and an Editorial Review Board committed to working with authors to develop interesting ideas into publishable papers. Each Senior Editor has the autonomy to accept or reject a paper for publication or to request that the author revise and resubmit the paper. The decisions of Senior Editors are binding on the journal.

MOR is committed to provide in-depth, constructive, and insightful reviews. Therefore, authors are invited to nominate two Senior Editors who are best suited to oversee the review of the paper. Prior to nominating two Senior Editors please review the list of Senior Editors and their research interests. Feel free to review their personal web sites. The Editor in Chief will make the assignment of the Senior Editor. In addition, authors are invited to nominate up to four reviewers (with suitable expertise and no conflict of interest with the author(s) as potential reviewers for the paper being reviewed). Management and Organization Review will make every effort to select one author-nominated reviewer. Manuscripts are reviewed in a double-blind process by at least two reviewers. The Senior Editor integrates his or her independent evaluation with those of the reviewers to provide guidelines for revising the paper when it is considered suitable for potential publication in MOR or reasons for why the paper is not suitable for publication in Management and Organization Review.

To maximize the match between the research reported in the paper, it is important that authors give careful thought to the nomination of the two Senior Editors and ad-hoc reviewers.   

The guidelines provided to reviewers are available on the MOR web page ( Authors are encouraged to read these guidelines so that they are aware of MOR reviewers' expectations. 

Please send any questions regarding the submission or review process to Tina Minchella (, the Managing Editor for Management and Organization Review.

Reviewer Guidelines

Management and Organization Review Reviewing Policies
1. The journal publishes articles in English only. A Chinese translation of the Abstract of each article is also published in the same issue. The MOR editorial team is committed to seeking the jewel in each submitted manuscript. They will engage the author(s) in a developmental process to feature the paper’s ideas and findings. MOR invites authors to nominate the Senior Editor that best matches the domain of the paper submitted for consideration by MOR []. In addition, MOR encourages authors to nominate up to four ad-hoc reviewers who are knowledgeable in the domain of their paper and do not have a conflict interest with the author(s) (e.g., family member, on same faculty, co-author, faculty supervisor, etc.) 

The purpose of the reviewing policies is to ensure that research published in MOR satisfies falsifiability, data transparency, and replication criteria. For a comprehensive discussion of these goals, see Lewin et al. (2016) [doi: 10.1017/mor.2016.43]. MOR is a signatory to the Transparency and Openness Promotion (TOP) guidelines, which were adopted by over 850 scientific journals (Nosek et al. 2015).

The guidelines that follow delineate the underlying principles of the MOR peer-review process:

1. Hypothesis testing is not a prerequisite. MOR welcomes papers that avoid framing research in the guise of hypothesis testing. MOR encourages, and will consider, exploratory research meant to identify and describe the phenomena of interest. However, hypothesis testing is appropriate when research involves confirmatory research or replications meant to test hypotheses generated from theory or reported in prior research.

2. The context of every paper published in MOR must be that of transforming economies (e.g., China, India, Latin America, Africa, and Eastern Europe, Russia and former Soviet Republics). Whenever appropriate, contextual studies in transforming economies should consider comparative implication for Chinese Management research.

3. Empirical studies must motivate every research question by framing it within the extant literature. The objective is to convey the puzzle in the literature, a puzzle that the manuscript aims to solve (or at least elucidate). The literature review underlying the theory development should serve as a mini review and must demonstrate that the author is interpreting implications of cited papers. The discussion of empirical papers must convey summary conclusions about the empirical findings–including discussion of effect size in prior findings. If the cited paper does not report effect size, the literature review should draw appropriate implications. The empirical plan for investigating the focal research question and the discussion of the data for the study follows the theory development section.

4. MOR requires that statistical analyses present and discussallfindings including null findings. Report coefficient estimates alongside exact p-values. Arbitrary cutoff points (asterisks *) of significance should not be reported or referred to.

5. Authors are required to provide readers with a reasonable sense of how strongly an independent variable affects the dependent variable by including an explicit discussion of the effect size (extent of explained variance) and discuss alternative theoretical explanations. Comprehensive discussion of findings including competing or alternative theoretical explanations is foundational for advancing understanding and knowledge creation.

6. We encourage post-hoc analysis but expect authors to clearly distinguish between such analysis and hypothesis testing. Hypothesizing after results are known (HARKing) is a questionable practice that undermines the scientific effort. When justified appropriately, post-hoc analysis can be important in exploring and testing hypotheses and new research questions that were not originally considered but that emerge from new insights during the analysis (e.g., because of unexpected null results, negative findings, or analysis of outlier data points).  

7. Data, Research Materials, and Analytic Code                        

i.  During the review processauthors may be asked to provide the Senior Editor and reviewers with access to data and research materials (e.g., survey instruments, field notes), or analytic code (e.g., variable definitions, transformations, statistical procedures). These will be kept confidential, just like a submitted manuscript. Authors who foresee difficulty in complying with this policy must disclose it at the time of submission.[1]


ii.  Once a manuscript is accepted, authors are encouraged to make the data and/or the instruments publicly available and receive the corresponding badges (see below). Authors are not required to share, but every published article must state whether data, materials, or code are available, and, if so, where to access them. This information will be requested at the initial submission, and authors may update it up to the time of publication. 

iii. Citation of data and materials:MOR recognizes data, research materials, or analytic code, as original intellectual contributions, which deserve recognition. All data, materials, or analytic code must be appropriately cited. Specifically, references for data sets and program code should include a persistent identifier, such as a Digital Object Identifier (DOI). Persistent identifiers, which ensure future access to published digital objects, are assigned to data sets by digital archives. For instance, authors who deposit their data or research materials with the Open Science Framework receive a DOI.

An example of citing a dataset: Campbell, A., & Kahn, R. L. 1999. American National Election Study, 1948. ICPSR07218v3. Ann Arbor, MI: Interuniversity Consortium for Political and Social Research [distributor].

8. Qualitative studies. MOR encourages the submission of qualitative studies. Such studies must be clear about the research question of interest, methods, such as examination of archival documents, interviews, informants, triangulation, and alternative or competing explanations for observed phenomena. Senior Editors knowledgeable with the requirements and nuances of qualitative studies will guide the review process of such papers.

9. Replication. Publishing replication studies or null findings is foundational for building cumulative knowledge about any phenomenon. MOR encourages the submission of replication studies using the same data or new data. Replication studies must be identified at the time of submission prior to the assignment of a Senior Editor who will guide the review of the paper. A replication paper must provide enough detail of the purpose of the replication and the importance and relevance of the findings, compared with those of the original study. Replication studies will undergo double-blind review, just like non-replication studies.

10. Authors are encouraged to review the standards available for many research applications from and use those that are relevant for the reported research applications.

11.  Recognition of authors who share materials, data, and/or preregister their studies. “If I have seen further, it is by standing on the shoulders of giants,” wrote Isaac Newton. MOR recognizes that science is a collective effort (Lewin et al., 2016). Scholars build on the efforts of their predecessors and contemporaries: refining theories, testing predictions, and honing instruments. Benefiting from others’ work requires access to it. That is why the scientific currency is a peer-reviewed publication – making one’s work publicly available. Yet any journal article has length limitations, so it necessarily omits some information that may be useful for those who wish to build on its author’s research. Because of the current replication crisis in the social sciences, in which the validity of much published research is questionable, fuller disclosure can bolster the public confidence in validity of empirical social science and renew trust in scientific findings.

Badges to Recognize Exemplary Scientific Practices

MOR recognizes authors who share more than a manuscript by featuring badges that recognize exemplary scientific practices: openly sharing data, research materials, or preregistering the study. The badges will be featured prominently in the published article. Authors should request a unique Digital Object Identifier (DOI) for their data or research materials, so that they can be cited independently of the article.

Such badges, based on the principles of theOpen Science Framework,have been introduced in similarly leading journals in other disciplines, such as theStrategic Management Journal,Psychological Science and the American Journal of Political Science.

When submitting an eligible manuscript, authors will indicate the desired badges. Upon acceptance, a journal editor will verify eligibility.

Open Materials

We grant an Open Materials badge to authors who deposit their research materials in an open-access repository. A prominent repository is the Open Science Framework (OSF), which will also assign a DOI to the materials, so that they can be cited. Many other repositories are listed in the Registry of Research Data Repositories. The deposited materials should be as complete as possible, to allow an independent researcher to reproduce the reported methodology. Depending on the methodology, materials may include statistical code, questionnaires, interview questions, experimental procedures, and participant instructions (but not data). The criteria for Open Materials are here:

Open Data

Separately, we grant an Open Data badge to authors who deposit their data (and statistical code, if necessary) in such an open-access repository. Authors can satisfy this requirement by depositing their entire dataset or by depositing a slice of it, as long as it allows an independent researcher to reproduce the reported results. If confidentiality is sought, authors may deposit a transformed dataset, as long as it allows reproduction of the reported results (Reiter, 2002). Depending on the methodology, deposited data may include quantitative and qualitative materials, but may not compromise the anonymity of participants or undermine promises of confidentiality. Often, it is easy to remove such identifying information from the dataset while preserving the ability of an independent researcher to reproduce the results. But if access to such identifying information is necessary to reproduce the reported results, then authors are not eligible for an open data badge.

If the data are statistical, authors are expected to deposit the code necessary to generate the results. Once the data and the code are available, authors may, but are not required to, assist others in using the deposited materials.

A prominent repository is the Open Science Framework (OSF), which will also assign a DOI to the data, so that they can be cited. The criteria for Open Data are here:

Preapproved and Preregistered Study

We offer preapproval for studies, drawing on the model of registered reports in the natural and social sciences. Such practices advance science, so we wish to encourage them: Authors whose studies were preapproved and preregistered will receive in-principle acceptance. The published article will bear the corresponding badge.

Preregistration and Preapproval

MOR encourages authors to submit proposals for preregistered and preapproved studies. After peer review, such proposals can receive a conditional acceptance in MOR – all before data are collected and results are realized. The editors of MOR believe that this innovative initiative is probably the most effective strategy for developing papers that are ultimately accepted for publication inManagement and Organization Review.

The Editors of MOR would like to engage with authors at the earliest stage of developing their research study. This will allow the Editors to nurture the study of research questions that highlight important questions or phenomena, open new directions, offer alternative or competing explanations for existing findings, or otherwise question extant management research when situated in transforming economies or anchored in indigenous history, culture, values, and national aspirations.

The MOR preapproval and preregistration process offers an important benefit for the authors and the scientific community: it determines the merit of a proposal – and the likelihood of its publication – before the findings are known. The underlying theory and research questions are peer reviewed and deemed important and interesting; hypotheses and data collection procedures are established before data collection and hypothesis testing commence. By doing this, we combat the temptation to HARK, the all-too-common practice of squeezing empirical findings into a theory that may not fit well. Rather, we want to understand reality as it is, whether ‘as predicted’ or not.

The Editors of MOR are committed to assisting authors with preapproval and preregistration to enhance the importance of the research, satisfy falsifiability requirements, and enhance data transparency, rigor, and replicability (Lewin et al., 2016). This is an ambitious goal that differentiates MOR articles, by alleviating the publication bias inherent in research toward ‘counterintuitive’ findings and supported hypotheses (Starbuck, 2016). A recent study estimates that 24%–40% of results in strategic management research cannot be replicated (Goldfarb & King, 2016). Another suggests that the real number may be even higher (Bergh, Sharp, Aguinis, & Li, 2017), even if this journal is comparatively more reliable (Li, Sharp, & Bergh, 2017).

Preapproval and preregistration can help authors clarify their goals and plans before embarking on the time-consuming (and sometimes irreversible) effort of data collection. In preregistration, authors register the proposal in a public, open-access repository (but they may keep the registration non-public during the review process). Then, authors submit for peer review a proposal, akin in content to a dissertation or grant proposal. The proposal should describe the research questions that the study proposes to address and the key hypotheses and data collection and analysis plan. Essentially, authors submit what typically constitutes half a ready manuscript, up to and including the data and description of the empirical approach. However, the proposal should not include data analyses, results, or conclusions. Instead, authors should provide an estimate of the time needed to complete the study.

The MOR preapproval process applies to quantitative and qualitative work as well as inductive and deductive work. The Editors of MOR recognize that inductive qualitative research is indeed a discovery process, and authors should carefully think through and discuss which discoveries the study aims to make and why such discoveries are important. To gain preapproval, authors should articulate which theoretical debates the research will address and how the outcome of the research will advance theory or society, regardless of whether the hypotheses are confirmed. Theoretical significance, knowledge impact, and thoroughness and rigor of the research plan are the major criteria for preapproval. Preapproval proposals are evaluated by MOR’s most senior editors: the Editor-in-Chief or one of the Deputy Editors. If the proposal is deemed of interest to the journal, it is assigned to a Senior Editor who will guide the developmental peer-review process. After peer review, the Senior Editor, in consultation with the Editor-in-Chief or the Deputy Editor, may reject the proposal, request revisions, or approve it. If it is approved, the authors commit to collecting data and completing the study as proposed, and the journal grants conditional acceptance—regardless of the findings. In other words, because of the importance of the subject matter, MOR will publish the final manuscript regardless of whether the results are as hypothesized, whether positive or null. After this conditional acceptance, authors embark on data collection, analysis, and writing to turn the proposal into a manuscript. However, preapproval and preregistration should not restrict flexibility in the knowledge generation process. Adjustment to the proposal may be granted under exceptional circumstances, such as unavailability of data. Following preapproval, authors should update the editor on progress and seek advice, as needed. Detailed instructions are in MOR’s Instructions to Contributors.

The manuscript will be published in MOR in two parts: The first part will report the results of the study according to the preapproved and preregistered plan. The second will present and discuss exploratory (post hoc) analyses, which may emerge in the course of analyzing and reporting the originally approved study. Both parts will feature a preapproval and preregistration badge.

The Editors of MOR accept that preapproval and preregistration entail more effort on our part and a stronger commitment to knowledge co-creation. We understand that it requires us to shepherd the knowledge co-creation process, rather than act as gatekeepers. The Editors of MOR are confident that the preapproval process will result in higher-quality accepted manuscripts. It can also combat the crisis of confidence in the social sciences, revitalizing the research and publication culture in management and organization science.[1]Authors can easily meet this requirement by sharing a private project page with editors and reviewers, using a view-only link. The Open Science Framework (OSF) offers free and secure tools to manage scientific projects. To start, see

Editorial Team

Arie Y. Lewin, Duke University, USA

Managing Editor
Tina Minchella, Arizona State University, USA

Deputy Editors-in-Chief
Kwok Leung, City University of Hong Kong, China

Klaus E. Meyer

Senior Editors
Mie Augier, US Navy Postgraduate School, US

Organizations and strategic management; developing an interdisciplinary and cross cultural framework for understanding organizational decision making; organizational economics ; cultural influences on organizational decision making and strategy; history and future of business schools and management education

Email: and

(George) Zhen Xiong Chen, Australian National University, Australia
Leadership; voice; organizational commitment; organizational behavior in the Chinese context and cross-cultural contexts



Bor-Shiuan Cheng, National Taiwan University, Taiwan
Organizational behavior in the Chinese context; leadership; team processes; organizational culture



Ray Friedman, Vanderbilt University, US
Negotiation; dispute resolution; Chinese culture and management; diversity in organizations; labor relations



Greg Hundley, Purdue University, US

Strategic human resource management; compensation and reward; self-employment and international compensation; entrepreneurship Email:


Thomas Hutzschenreuter, WHU – Otto Beisheim School of Management, Germany
Internationalization strategy; foreign direct investment; panel data analysis



Sheen S. Levine, Columbia University, US
Business strategy; behavioral strategy; cognition; innovation; organizational theory; entrepreneurship



Xiaohui Liu, Loughborough University, UK
International business; human mobility; international knowledge spillovers; innovation in emerging economies; internationalization strategies of firms from emerging economies (including motives, entry modes, corporate governance, and outcomes of international diversification); knowledge acquisition



Xiaowei Rose Luo, INSEAD, France
Institutional theory; family business; corporate governance; corporate social responsibility; cross-cultural variation in organizational practices



Ishtiaq Pasha Mahmood, National University Singapore, Singapore
Innovation; diversification; corporate strategy; international business



Silvia Massini, University of Manchester, UK
Offshoring of innovation and knowledge intensive business services; economics and management of innovation; evolutionary and behavioral theories; adoption and diffusion of innovation; knowledge creation and management



Chris Marquis, Harvard Business School, US
Organizational theory; institutional theory; sustainability; social entrepreneurship



Johann Peter Murmann, University of New South Wales, Australia
Strategic management; innovation; evolutionary theories in management and economics; comparative firm and industry studies; business history



Bent Petersen, Copenhagen Business School, Denmark
Internationalization of firms; global sourcing; value creation logics; real options and entry modes; strategic management 



Carine Peeters, Solvay Brussels School of Economics and Management, Belgium
International business; strategy; global sourcing; offshoring; outsourcing 



Laura Poppo Kansas University, US

Knowledge management; institutional theory; cooperative strategy; transitional economies



Mooweon Rhee, Yonsei University, Korea
Organizational learning; organizational status; corporate reputation; social networks; Asia-based theories of organizations



Bilian (Belaine) Sullivan, Hong Kong University of Science and Technology, China
Organizational learning and change; organizational and inter-organizational networks; international management; and decision-making  



Eric Tsang, University of Texas at Dallas, US
Organizational learning, strategic alliance; corporate governance; corporate social responsibility; philosophical analysis of methodological issues



Alain Verbeke, University of Calgary, Canada and University of Brussels, Belgium
MNE theory; internalization theory; transaction cost economics; regional and global strategy; foreign direct investment; subsidiary management and entrepreneurship; MNE governance; bounded rationality; bounded reliability; stakeholder management; MNE corporate social responsibility; environmental strategy



Michael A. Witt, INSEAD, Singapore and Harvard University, US
Asia; business systems; varieties of capitalism; international business



Zhi-Xue Zhang, Peking University, China
Team process; negotiation and conflict management; team process; leadership



Xueguang Zhou, Stanford University, US
Sociology of organization; social stratification; economic sociology; Chinese society

Editorial Advisory Board
Paul Beamish, University of Western Ontario, Canada
Peter Buckley, University of Leeds, UK
Chao C. Chen, Rutgers University, USA
John Child, University of Birmingham, UK
Giovanni Dosi, Sant’Anna School of Advanced Studies, Italy
Yves Doz, INSEAD, France
Jiing-Lih Larry Farh, Hong Kong University of Science and Technology, China
Maruo F. Guillen, University of Pennsylvania, USA
Michael Hitt, Texas A&M University, USA
Martin Kenney, University of California, Davis, USA
Yadong Luo, University of Miami, USA
James March, Stanford University, USA
Marshall W. Meyer, University of Pennsylvania, USA
Michael Morris, Columbia University, USA
Victor Nee, Cornell University, USA
Seung Ho Park, Moscow School of Management, China
Gordon Redding, INSEAD, France
Oded Shenkar, Ohio State University, USA
Henk Volberda, Erasmus University, The Netherlands
Mary Ann Von Glinow, Florida International University, USA
Andrew Walder, Stanford University, USA
Malcolm Warner, University of Cambridge, UK
Weiying Zhang, Peking University, China
Shuming Zhao, Nanjing University, China

Editorial Review Board

Samuel Aryee, King’s College London, UK
Neal M. Ashkanasy, University of Queensland, Australia
Ellie R. Banalieva, Northeastern University, USA
William Barnett, Stanford University, USA
Bat Batjargal, Harvard University and University of Nottingham, Ningbo, China
Gabriel R. G. Benito, BI Norwegian Business School, Norway
Olivier Bertrand, SKEMA Business School, France
Brian K. Boyd, City University of Hong Kong, China
Daniel J. Brass, University of Kentucky, USA
Jeanne M. Brett, Northwestern University, USA
Lance Eliot Brouthers, Kennesaw State University, USA
Melody Manchi Chao, Hong Kong University of Science and Technology, China
WeiRu Chen, INSEAD, Singapore
Wenhong Chen, University of Texas, Austin, USA
Roy Yong-Joo Chua, Harvard University, USA
Aichia Chuang, National Taiwan University, Taiwan
Chi-Nien Chung, National University of Singapore, Singapore
Lin Cui, Australian National University, Australia    
Carolyn Egri, Simon Fraser University, Canada
Grace Fan, University of British Columbia-Okanagan, Canada
Jeanne Ho-Ying Fu, City University of Hong Kong, China
Ping-Ping Fu, City University of Hong Kong, China
Ping Deng, Maryville University of St. Louis, USA
Peter Gammeltoft, Copenhagen Business School, Denmark
Barry Gerhart, University of Wisconsin, USA
Yaping Gong, Hong Kong University of Science and Technology, China
Yundan Gong, Aston University, UK
Qian (Cecilia) Gu, Georgia State University, USA
Jungpil Hahn, National University of Singapore, Singapore
Xu Han, Temple University, USA
Niron Hashai, Hebrew University of Jerusalem, Israel
Ying-yi Hong, Nanyang Technological University Singapore
Robert E. Hoskisson, Rice University, USA
Kwang-Kuo Hwang, National Taiwan University, Taiwan
Andrew Inkpen, Thunderbird, USA
Liangding Victor Jia, Nanjing University, China 
Hong Jiang, University of Nebraska, USA
Runtian Jing, University of Electronic Science and Technology of China, China
Sung-Choon Kang, Cornell University, USA
Liena Kano, University of Calgary, Canada
Lisa Keister, Duke University, USA
Scott Kennedy, Indiana University, USA
Minyoung Kim, University of Kansas, USA
Sunghoon Kim, University of New South Wales, Australia
Tohyun Kim, Sungkyunkwan University, Korea
Young-Choon Kim, National University of Singapore, Singapore
Ingo Kleindienst, Aarhus University, Denmark
Rajiv Kozhikode, Simon Fraser University, Canada
Catherine K. Lam, City University of Hong Kong, China
Marcus M. Larsen, Copenhagen Business School, Denmark
Bobai Li, Peking University, China
Haiyang Li, Rice University, USA
Jing Li, Simon Fraser University, Canada
Julie Li, City University of Hong Kong, China
Peter Ping Li, Copenhagen Business School, Denmark
Shaomin Li, Old Dominion University, USA
Shu-Ping Li, National University of Singapore, Singapore
Jian Liang, Shanghai Jiao Tong University, China
Neng Liang, CEIBS, China
Zhiang (John) Lin, University of Texas at Dallas, USA
Jun Liu, Renmin University, China
Leigh Anne Liu, Georgia State University, USA
Wu Liu, Hong Kong Polytechnic University, China
Jane Lu, National University of Singapore, Singapore
Jiangyong Lu, Peking University, China
Steven Lui, University of New South Wales, Australia
Dali Ma, Drexel University, USA
Li Ma, Duke University, USA
Mona Makhija, Ohio State University, USA
Shige Makino, Chinese University of Hong Kong, China
Hemant Merchant, University of South Florida- St. Petersburg, USA
Michael J. Mol, University of Warwick, UK
Janet Y. Murray, University of Missouri-St. Louis, USA 
Rajneesh Narula, University of Reading, UK
Kok Yee Ng, Nanyang Technological University, Singapore
Quyen Nguyen, University of California, San Diego, USA
Na Ni, Hong Kong Polytechnic University, China
Peter D. Ørberg Jensen, Copenhagen Business School, Denmark
K. Skylar Powell, Western Washington University, USA
Shameen Prashantham, Nottingham University Business School, China
Cuili Qian, City University of Hong Kong, China
David A. Ralston, University of Oklahoma, USA
Valerie Rosenblatt, San Francisco State University, USA
Roger Schweizer, University of Gothenburg, Sweden
Arjen Slangen, Eramus University Rotterdam, Netherlands
Lynda Jiwen Song, Renmin University, China
Andrew Spicer, University of South Carolina, USA
Yu-Shan Su, National Taiwan Normal University, Taiwan
Danchi Tan, National Chengchi University, Taiwan
Justin Tan, York University, Canada
Yi Tang, Hong Kong Polytechnic University, China
Florian Taeube, EBS Business School, Germany
Sverre Tomassen, BI Norwegian Business School, Norway
Wei-Chi Tsai, National Chengchi University, Taiwan
Herman Tse, Griffith University, Australia
Hinrich Voss, University of Leeds, UK
Catherine Wang, University of London, UK
Chengang Wang, Bradford University, UK
Danqing Wang, INSEAD, France
Hui Wang, Peking University, China
Xiao-Hua (Frank) Wang, Renmin University, China
Yingqi Wei, University of York, UK
Steven White, Tsinghua University, China
Jie Wu, University of Macau, Macau
Torsten Wulf, Phillips-University Marburg, Germany
Jia Lin Xie, University of Toronto, Canada
Dean Xu, University of Hong Kong, China
Juelin (Lynn) Yin, Xi’an Jiaotong-Liverpool University, China
Michael Young, Hong Kong Baptist University, China
Ann Yan Zhang, Peking University, China
Cyndi Man Zhang, Singapore Management University, Singapore
Jianjun Zhang, Peking University, China
Xiaomeng Zhang, American University, USA
Jane Zhao, University of Kansas, USA
Wei Zhao, University of North Carolina at Charlotte, USA
Lu Zheng, University of California, Irvine, USA
Weiting Zheng, Hong Kong Polytechnic University, China
Jing Zhou, Rice University, USA
Hongjin Zhu, McMaster University, Canada