The origins,development and future directions of data envelopment analysis approach in transportation systems

Over the last two decades, application of Data envelopment analysis (DEA) in transportation problems have gained considerable research attention. This paper presents a literature review and classification of the applications of DEA in transportation systems (TSs). First by classifying 40 papers from 2007 to 2018, the origins of DEA in transportation problems have been reviewed. Then the development and an overall view of DEA applications in TSs have been presented. We have classified the applications of DEA into six different contexts. In each context, published papers have deeply been analyzed. Content of analysis includes “Number of published papers during the time”, “target journals”, “countries”, “keyword frequency”, “most cited papers”, “map of most co-cited publications”. More important, we reported the “inputs and outputs variables” used in each paper. Further “a review of the selected papers” and “gaps/future research directions” have been given within each cluster. The results show that DEA is one of the most useful approach in evaluating TSs for policy makers. On the other hand, DEA can help the decision makers in transportation especially regarding environmental factors, sustainable development and eco-design. Finally, we proposed subjects for future researches including guidance for new studies in the field of DEA applications in TSs.     

Team familiarity—Boon for routines,bane for innovation? A review and future research agenda

Teams play a vital role in achieving an organization's goals, so achieving high levels of team familiarity is regarded as essential to HRM strategies. This paper aims to stimulate the debate on team familiarity: the effectiveness, antecedents, outcomes, and theoretical underpinnings. Our systematic literature review uses a VOSviewer-based bibliometric analysis, combined with qualitative thematic analysis. The current dominant viewpoint is that team familiarity leads to positive performance outputs at work, higher team performance and organizational success. Existing studies also agree that familiarity enhances team cognition and takes time to develop. However, we reveal that existing studies use a limited range of theoretical underpinnings, remain vague on the meaning of “time” and “how long it takes for teams to become familiar”, and avoid critical discussions on potential counterproductive outcomes that may lead to a decline in team performance. Based on these gaps, we suggest advancing the team familiarity literature and provide ideas for future research. Overall, we argue that whereas team familiarity is favorable for routine and structured contexts, it might be less effective for innovative task environments. Our future research agenda also suggests 1) advancing the theoretical underpinnings around team relationships, social roles, and team formation; 2) engaging in discussion on the key antecedent “time”, with longitudinal studies to reveal which moments matter most in devolving team familiarity; 3) considering positive social outcomes for individuals and groups; and importantly, 4) contributing fresh knowledge on potential counterproductive outcomes and U-shaped developments in innovation work.     

Mapping Business Model Research: A Document Bibliometric Analysis

Today, the business model (BM) is one of the most studied concepts within managerial and innovation literature. Although scholars have shown a growing interest in understanding and analysing the BM, a theoretical conceptualization is still lacking. This paper provides a systematic review of the current state of BM research by mapping the research landscape to identify key research publications, journals that had relevance in developing the BM literature, and the main areas of research. Using the ISI Web of Knowledge “core collection”, this study conducts a document bibliometric analysis of 3,604 publications in the fields of management and business that were published between 1985 and 2017. The use of quantitative methods allowed us to overcome the shortcomings of the past subjective literature reviews. We clustered the selected articles on the basis of two distinct perspectives. First, we identified the founders of the discipline, creating a map of co-cited articles (co-citation analysis); this enabled us to identify five major research clusters, formed on the basis of similar co-citations, that characterize the historical evolution of the BM studies. Second, throughout the bibliographic coupling analysis, which aggregates articles sharing a similar bibliography, we captured the main emergent research sub-fields of the most recent BM literature.     

Two decades of XBRL: a science mapping of research trends and future research agenda

eXtensible Business Reporting Language (XBRL) is a software standard of significant importance in the current shift in financial reporting. This new standard is representative of the dramatic developments in how financial information is presented and reported. Over the past 20 years (2000–2020), we have witnessed how information systems and technology advancement have continued to shape current practices in accounting, which has resulted in an increasing trend toward Internet reporting, and thus the XBRL adoption. This study investigates the current trends and various characteristics of worldwide research on XBRL using bibliometric analysis, subsequently presenting a plausible future research direction. The Scopus database was searched for articles indexed under the terms “XBRL*” or “Digital Financial Reporting*” or “Internet Financial Reporting*” or “Web financial reporting*”, which yielded a total of 661 documents from the years 2000–2020. We analysed a total of 621 documents as our final sample after excluding those not related to the interest of the study. Our analysis discovered six (6) main research clusters related to XBRL, which are financial reporting, development of XBRL, decision making, XBRL adoption, corporate governance and disclosure, and financial analytics. We also proposed a future research direction within XBRL-related research.

     

The intellectual structure of human resource management research: a bibliometric study of the international journal of human resource management, 2000–2012

The purpose of this study is to analyze the existing literature on human resource management (HRM) from all the research papers published in The International Journal of Human Resource Management between 2000 and 2012. The authors apply bibliometric methods to identify the main research lines within this scientific field; in other words, its ‘intellectual structure’. Social network analysis is also used to perform a visualization of this structure. The results of the analysis allow us to define the different research lines or fronts which shape the intellectual structure of research on HRM.     

Citation analysis in research on differential item functioning

This paper offers a first approach to the study of citing behaviour in the literature on differential item functioning (DIF) and provides new information about the main characteristics that define that behaviour. With a focus on articles listed in the Web of Science for the period 1975–2000, the present research considers the number of self-citations included in each paper with respect to other bibliometric indicators such as year of publication, the number of signatories to a paper, author’s country of origin and the journal in which it was published. In general terms it can be concluded that in studies of DIF the mean percentage of self-citations is around 11%, this figure remaining stable over time; there is a positive correlation between the number of signatories to an article and the number of self-citations. This paper has offered a first approach to the study of citing behaviour in the literature on DIF.     

Does doing “good” always translate into doing “well”? An eco‐efficiency perspective

Does doing “good” always translate into doing “well”? Debate over the “value” of corporate social responsibility is high on the agenda of corporate finance research. Deeper understanding is required on managers' incentives to pursue and implement corporate social responsibility related strategies, as is more thorough comprehension of the effect of these strategies to firms' performance levels as well as shareholder and wider stakeholder valuations of the firm. This paper provides a new lens by approaching the subject from a different methodological paradigm, grounded in the performance benchmarking methods more commonly applied in operational research. In so doing, we provide novel evidence of the effect of corporate choices on environmental, social, and governance (ESG) strategic investment compliance (i.e., doing good) to firms' eco‐efficiency levels (doing well). In brief, our empirical findings suggest that ESG and firm's eco‐performance are nonlinearly related. Specifically, advanced ESG policies and disclosure levels are associated with a positive affect to firms' eco‐efficiency levels, but only up to a point, after which the effect becomes “neutral,” that is, ESG demonstrates a visible pattern of diminishing marginal returns. Thus, we may humbly conclude that a firm may “do well” by doing good, but it is not clear they should ever expect to “do great” just by “doing good.” The threshold at which this “neutrality” appears varies systematically with the characteristics of the sector in which the firm is operating, as well as dimensions of board diversity. Finally, it is evident that ESG implementation choices can be a source of managerial agency problems.     

Entrepreneurial migrants from/in emerging economies: breaking taboos and stereotypes

Entrepreneurial migration from/in emerging economies, as grand societal and humanitarian challenges that we currently face, underscores the need for scholarly research. In our role as social science researchers, this special issue aimed to stimulate scholars from different social science fields to rethink more broadly about the opportunities for making an impact with our research focus on entrepreneurial migration from/in emerging economies. This article provides an overview of the theoretical, empirical, managerial, and policy implications of entrepreneurial migrants from/in emerging economies research. It puts forward key concepts and measures, explores the relations within the current broader literature on migration and entrepreneurship, and identifies several gaps that represent future research questions. We also introduce eight papers in a special section of this issue, which offer answers to critical gaps and questioning some taboos/stereotypes related entrepreneurial migrants. We conclude by outlining an agenda for engaging the academic community to extend research on entrepreneurial migrants from/in emerging economies. It is the perfect time to “make a difference” through our research, teaching, and interaction with multiple socioeconomic agents to constitute impacts that “endorse a real transformation” for supporting the migrants’ community.

     

Racing To Invest? The Dynamics of Competition in Ethical Drug Discovery

Recent advances in the theoretical literature have greatly expanded our understanding of the forces that shape the competitive dynamics of research and development, but a paucity of sufficiently detailed empirical data has left these insights relatively untested. We draw on unusually detailed qualitative and quantitative infernal data provided at the research program level by 10 major pharmaceutical firms to explore the usefulness of the modern literature as a source of insight into the dynamics of competition in ethical drug discovery. Our analysis focuses on one particularly compelling aspect of the literature: the suggestion that in “winner take all situations,” competition in R&D becomes a Prisoner's Dilemma, leading to overinvestment in research. Without adequate measures of the social return to innovation, we can say nothing about whether there is “too much” or “too little” research undertaken by the industry, but our results do not support the suggestion that R&D investment in drug discovery is driven by the “tit-for-tat” or simple reaction function models hinted at by the institutional literature. First, R&D investment is only weakly correlated across firms once common responses to exogenous shocks are accounted far, and second, rivals' R&D results are positively correlated with own research productivity, which we interpret as evidence for extensive R&D spillovers rather than the depletion externality implied by “winner take all” models. These results are not, of themselves, sufficient to reject the hypothesis that investment behavior in the industry is driven by strategic considerations since there is theoretical support for a wide variety of observable behavior as equilibrium outcomes of strategic interaction. Nonetheless, they suggest that the more extreme forms of rent dissipation identified in the literature are probably poor characterizations of the reality of competition in pharmaceuticals. Our results point both to the need to develop theories that incorporate richer models of possible payoff structures, adjustment costs, and firm heterogeneity and to the need to collect empirical data that is comprehensive enough to enable one to test them.     

Supply organizations in North America: A 24 year perspective on roles and responsibilities 1987–2011

The recent completion of a major survey of 249 large North American supply organizations in 2011 permits a longitudinal perspective on supply roles and responsibilities over a 24 year period. The latest survey complements three earlier CAPS studies in 1987, 1995 and 2003, thereby providing a valuable opportunity to examine trends and changes over time. Data was collected from 112 firms that responded in 2003 and 2011, which included 53 firms that responded in 1995, 2003 and 2011 and 24 firms that responded to all four surveys. Major areas of investigation included supply organizational structure, purchase category and supply chain responsibilities, supply involvement in major corporate activities, teams, and CPO reporting line, title and background. Findings indicate that the pace of organizational change remains high, which can represent significant challenges for supply executives. Cluster analysis was used to assess the relationship between supply organizational changes and firm performance. Firms in the “underperforming” category more frequently changed their supply organizational structure, and these changes were more likely directed towards greater centralization, compared to the “growing” and “profitable” clusters. Findings provide important implications for supply executives and opportunities for future research are also identified.     

A journey of social sustainability in organization during MDG & SDG period: A bibliometric analysis

Organizational sustainability is a multi-facet paradigm widely used to address perennial business challenges such as climate change, industrial waste, the economies of scale and social well-being, etc. In the last three decades, extensive research has been performed on ecological or economic sustainability, ignoring the third pillar of sustainability. Given the importance of humans and society-a center-stage of inclusive development-this paper aims to conduct a bibliometric analysis to examine the growth of organizational social sustainability (OSS) from 2000 to 2021 during MDG & SDG periods. A total of 1566 publications are analyzed using Scopus and the Web of Science (WoS) database. Citation networks, bibliographic coupling, and thematic mapping have explored influential work, intellectual structure, and research gaps. The study findings demonstrated that most publications are during the SDG period, with Sustainability as the most productive journal and the USA as the most contributing country. The top 10 active institutions are from Australia, France, and Spain. The top contributing authors are from France, but the USA is at the top in citations. Contributions are lacking from large portions of Africa. Keyword analysis showed that “social sustainability,” “sustainable development,” “environmental sustainability,” “sustainable supply change management,” “circular economy,” and “social life cycle assessment” are the main topics. Keyword analysis and thematic mapping show that despite increased publications in the field of organizational social sustainability, OSS research is still far from focusing on the stakeholders' benefits, satisfaction, and subjective well-being. Moreover, quantitative assessment of OSS based on sustainability standards such as Global Reporting Initiatives (GRI) and Value Reporting Foundation (VRF) standards was found scant in the given field. The present research concluded with scope and opportunity for future research in the area of OSS.     

The absent, the hidden and the obscured: reflections on “dark matter” in qualitative research

Qualitative research literature generally ignores the voids that are created and the materials that are suppressed during data analysis and the writing phase. Qualitative studies are usually based on observations and interviews that hold an immense amount of data. These are transformed to a few condensed papers at the final stage. During this process, many of the findings and insights are omitted. This study focuses on the important but neglected topic of data omitted from final research reports by examining two specific aspects of research: (1) reflexivity, its pretensions notwithstanding, that may often suppress and conceal more than it presents and reveals and (2) relevant findings omitted from final reports despite their marked effect on research. We maintain that these suppressed and obscured materials, the “dark matter” of qualitative research, have a marked effect on the research and significantly affect the findings and their structure even if they are not included in the final report.     

International entrepreneurship: a bibliometric overview

The aim of this paper is to provide an overview of the academic research on International Entrepreneurship (IE). To accomplish this, an exhaustive bibliometric analysis was carried out, involving a bibliometric performance analysis and a graphic mapping of the references in this field. Our analysis focuses on journals, papers, authors, institutions and countries. To perform the performance analysis, the work uses a series of bibliometric indicators such as h-index, productivity and citations. Furthermore, the VOS viewer to graphically map the bibliographic material is used. The graphical analysis uses co-citation, bibliographic coupling and co-occurrence of keywords. The results of both analyzes are consistent among them, and show that the USA is the most influential country in IE research as it houses the main authors and institutions in this research field. Moreover, is observed and expected the continued growth of the field globally. Our research plays an informative and complementary role as it presents most of the key aspects in International Entrepreneurship research.

     

Management “flavours of the month”: their role in managers' lives

Existing analyses and critiques of the succession of management fads and fashions entering managerial discourse and activities are complemented and developed by drawing on participant observation research carried out in an organization utilizing a variety of “packaged innovations”. It is shown that what are sometimes mocked as “flavours of the month” (FOMs) play a role in the double-controlproblem faced by all managers: the problem of managing their personal identities, careers and understandings at the same time as contributing to the overall control of the organization in which they are managers. Managers in the organization studied are shown generally to be critical of the “flavour of the month effect” but there is nevertheless an equivocality about how such ideas and practices can function.     

Predicting failure risk using financial ratios: Quantile hazard model approach

This study examines the role of financial ratios in predicting companies’ default risk using the quantile hazard model (QHM) approach and compares its results to the discrete hazard model (DHM). We adopt the LASSO method to select essential predictors among the variables mentioned in the literature. We show the preeminence of our proposed QHM through the fact that it presents a different degree of financial ratios’ effect over various quantile levels. While DHM only confirms the aftermaths of “stock return volatilities” and “total liabilities” and the positive effects of “stock price”, “stock excess return”, and “profitability” on businesses, under high quantile levels QHM is able to supplement “cash and short-term investment to total assets”, “market capitalization”, and “current liabilities ratio” into the list of factors that influence a default. More interestingly, “cash and short-term investment to total assets” and “market capitalization” switch signs in high quantile levels, showing their different influence on companies with different risk levels. We also discover evidence for the distinction of default probability among different industrial sectors. Lastly, our proposed QHM empirically demonstrates improved out-of-sample forecasting performance.     

Best practices in developing,conducting, and evaluating inductive research

This editors' introductory article to the Human Resources Management Review special issue on inductive research methods aims not only to provide an overview of the four main articles, but to provide guidance to researchers and gatekeepers about how best to conduct such research. We address four specific goals in the current article. First, we present a brief overview of each of the four papers. Second, we provide a general background on deduction, induction, and abduction: what they are, how they are distinguished from one another and should be used in a complementary manner, and how our field has moved away from inductive toward deductive paradigms over the last five decades. Third, we shed further light on the current representations of deductive versus inductive approaches in our collective published works, and what can/should be done to achieve a better balance between them as we move forward. Fourth, we offer several “best-practice” recommendations for how best to conduct and evaluate research that does not conform to the prevailing hypothetico-deductive model.     

Evolving research on expatriates: what is ‘known’ after four decades (1970–2012)

The purpose of this paper was to provide a comprehensive review of the evolving research on a still key challenge for human resource management (HRM) in the globalized business of today: the expatriates and their impact on business performance. Research of four decades was reviewed to show what was known and what was not yet known. A bibliometric analysis was conducted to build a conceptual map of the evolving research. Up to 438 papers published in 104 different journals by 233 authors were analyzed. Most of the literature studies and research does not show a systematic approach, so this review may be useful for scholars and practitioners in the field of HRM and International Business Management in order to advance into the next stage of development on how to deal with and take advantage of hiring expatriates. Even after more than four decades of intensive research, the literature on expatriation is still nascent and requires higher order content. New contexts and organizations should be included in the research agenda, while an effort must be made in systematic approaches and in building higher order content in the international HRM field.     

A Bibliometric Analysis of Digital Innovation from 1998 to 2016

Digital technologies are ubiquitous in our everyday lives. They have been widely embedded into the core processes of services and products, as well as into the operations of many organizations. These digital technologies bring many changes to our work and lifestyles, to the organization of companies, and even to the structures of whole industries. Thus, digital innovation is a research hotspot. This study investigates the development of digital innovation research using a bibliometric method with visual mapping. The status of digital innovation research is analyzed through citation analysis. Influential references, authors, and top-tier journals are identified. The literature’s intellectual structure is mapped through co-word analysis. In addition, co-citation network analysis is used to describe the evolution of digital innovation research, and cluster analysis of the main research stream is conducted. Several research topics addressed by recent papers are also discussed. Finally, cross-country comparisons reveal that the US is currently taking the leading role and that China is a newcomer with potential contributions to make in this research area.