Impact factor as a metric to assess journals where OM research is published

This paper investigates impact factor as a metric for ranking the quality of journal outlets for operations management (OM) research. We review all prior studies that assessed journal outlets for OM research and compare all previous OM journal quality rankings to rankings based on impact factors. We find that rankings based on impact factors that use data from different time periods are highly correlated and provide similar rankings of journals using either two-year or five-year assessment periods, either with or without self-citations. However, some individual journals have large rank changes using different impact factor specifications. We also find that OM journal rankings based on impact factors are only moderately correlated with journal quality rankings previously determined using other methods, and the agreement among these other methods in ranking the quality of OM journals is relatively modest. Thus, impact factor rankings alone are not a replacement for the assessment methods used in previous studies, but rather they evaluate OM journals from another perspective.     

The Role of Dialectical Interrogation in Review Studies: Theorizing from What We See Rather Than What We Have Already Seen

Review-centric works receive increasing attention for generating insightful contributions to management and organization studies. Despite this, the literature on theory building has taken little note of their place in the theorizing process. This deserves attention, however, given the challenges reviews face in theorizing in the absence of new empirical observations. Accordingly, these works run the risk of merely summarizing ‘what we have already seen’, instead of ‘maximizing what we see’. Drawing on the strategies of theorizing from similarities and theorizing from anomalies, we propose dialectical interrogation as a critical step in theorizing through which review scholars imaginatively engage in a back and forth inquiry between the phenomenal world of a given field and existing theory. By analysing selected review studies from top management journals, we reveal that theorizing outcomes occur through two ways of dialectical interrogation (consolidative and disruptive). We contribute by demonstrating that review scholars can enter into powerful theorizing through the consolidative or disruptive interrogation of the review data with extant theory to detect emergence and novelty alongside puzzles, conflicts and paradoxes. Dialectical interrogation can address the shortcomings of current theorizing in review-centric works and bears potential for advancing theories of management and organization studies.     

Renaissance of case research as a scientific method

Since the seminal article by Eisenhardt (1989), scholarly interest in case research has mushroomed in operations management and organization sciences. Volumes of methodological texts are matched with a massive amount of empirical research that seeks to apply and further develop case research as a scientific method. What is missing from this literature is a treatment of the methodological diversity of case research. In this paper, we seek to unveil this heterogeneity by describing three distinct methodological accounts of case study: theory generation, theory testing, and theory elaboration. Each approach has its own idiosyncrasies, in particular when it comes to the interplay between theory and empirics. A typical case research incorporates both existing theories and empirical data to varying degrees. In light of this heterogeneity, we re-interpret key aspects of extant contributions and discuss guidelines for future case research. We propose that ultimately, case research rigor is determined by attention to idiosyncrasy and transparency of reasoning. We conclude by arguing that we have witnessed in the past 25 years in organization research what amounts to the Renaissance of case research.     

Towards a hybrid model? A systematic review of human resource management research on Chinese state-owned enterprises (1993–2017)

Abstract

Over the past two decades, there has been a proliferation of research on human resource management (HRM) in Chinese state-owned enterprises (SOEs) as a result of the wide-reaching state-sector reform of the late 1980s. This article aims to provide a systematic review of literature on this topic and capture the nature of HRM in Chinese SOEs, both in research and practice. The article draws on 178 studies from 43 English academic journals over a period of 25?years (1993–2017). In analysing this literature and by taking stock of theoretical frameworks, research methods, themes and analysis of academic articles in this area, we have gained a number of insights. The study has found that the research methods used have shifted from qualitative and interpretive methodology toward quantitative and sophisticated modelling. A further insight is that there has been a relatively heavy reliance on institutional theory in the earlier studies reviewed, and since then a switch towards organizational behaviour perspectives. The level of analysis has moved from macro to micro level and thematic foci have become more diverse and complex. We highlight a number of avenues, theoretical and empirical, for future studies in this field.     

The evolution of the intellectual structure of operations management—1980–2006: A citation/co-citation analysis

Citation analysis combined with a network analysis of co-citation data from three major operations management (OM) journals is used to reveal the evolution of the intellectual structure of the OM field between 1980 and 2006. This spans the entire time since the beginning of research journals specific to the field. Employing a bibliometric citation/co-citation analysis to investigate the foundations of the discipline enables a robust, quantitative approach to uncovering the evolution of research in OM. The study finds that the intellectual structure of the field made statistically significant changes between the 1980s, the 1990s, and the 2000s and evolved from a pre-occupation with narrow, tactical topics toward more strategic, macrotopics, including new research methods and techniques. A factor analysis identifies the 12 top knowledge groups in the field and how they change over the decades. Illustrations of the structure of the co-citations representing the field are generated from a spring-embedded algorithm that is an improvement over the standard multi-dimensional scaling (MDS) approach to illustrating the knowledge groups.     

A review of techniques for treating missing data in OM survey research

The treatment of missing data has been overlooked by the OM literature, while other fields such as marketing, organizational behavior, economics, statistics and psychometrics have paid more attention to the issue. A review of 103 survey-based articles published in the Journal of Operations Management between 1993 and 2001 shows that listwise deletion, which is often the least accurate technique of dealing with missing data, is heavily utilized by OM researchers. The paper also discusses the research implications of missing data, types of missing data and concludes with recommendations on which techniques should be used under different circumstances in order to improve the treatment of missing data in OM survey research.     

Theorizing,testing, and concluding for mediation in SCM research: Tutorial and procedural recommendations

Empirical research in Supply Chain Management is increasingly interested in complex models involving mediation effects. We support these endeavors by directing attention to the practices for the theorizing of, the testing for, and the drawing of conclusions about mediation effects. Our paper synthesizes diverse literature in other disciplines to provide an accessible tutorial as to the mathematical foundation of mediation effects and the various methods available to test for these effects. We also provide guidance to SCM scholars in the form of eight recommendations aimed at improving the theorizing of, the testing for, and the drawing of conclusions about mediation effects. Recommendations pertaining to how mediation effects are hypothesized and stated and how to select among methods to test for mediation effects are novel contributions for and beyond the Supply Chain Management discipline.     

Disentangling acquisition experience: A multilevel analysis and future research agenda

Research interest in firms repeatedly involved in acquisitions has increased over the past decade. However, this increase has remained unmatched by efforts to integrate what is known, leaving the acquisition experience research field scattered, in turn hampering further theoretical and empirical progress. Taking a broad approach to experience, we review 106 empirical studies published in leading journals that focus on the effects of past acquisitions on subsequent ones. We discover three distinct but complementary ways in which research has dealt with experience. Moreover, research on acquisition experience has drawn conclusions on three important but insufficiently integrated levels of analysis. Our review delineates and systematises the current theoretical and empirical progress in acquisition experience research and outlines a future research agenda.     

Demand chain management: an integrative approach in automotive retailing

Recent reviews of the ‘operations management’ (OM) research literature have shown a surprising little shift towards empirical methodologies from traditional modelling solution methods. In addition, there is generally a lack of empirical testing and validation of manufacturing strategies. Coupled to this fact is that empirical work is rarely carried out in an inter-disciplinary manner, with the complete combination of OM, marketing, strategy, lean thinking and accounting approaches particularly poorly researched. Fully cross-functional integrative empirical research is required to help support the understanding of the applicability of OM practices within industry. This paper explores such an integration of approaches developed within the ‘lean thinking, strategic cost management, marketing and policy deployment areas’. In order to investigate the approach a single automotive retailer is used as an instrumental case. The results of the study show that the new approach stands up well as an integrative approach that can prove highly beneficial results. However, the pilot work also identified a number of limitations that are the basis of further refinement and testing of the method.     

Emergent clustering methods for empirical OM research

To date, the vast majority of cluster analysis applications in OM research have relied on traditional hierarchical (e.g., Ward's algorithm) and nonhierarchical (e.g., K-means algorithms) methods. Although these venerable methods should continue to be employed effectively in the OM literature, we also believe there is a significant opportunity to expand the scope of clustering methods to emergent techniques. We provide an overview of some alternative clustering procedures (including advantages and disadvantages), identify software programs for implementing them, and discuss the circumstances where they might be employed gainfully in OM research. The implementation of emergent clustering methods in the OM literature should enable researchers to offer implications for practice that might not have been uncovered with traditional methods.     

THE ERRONEOUS USE OF CHINA'S POPULATION AND PER CAPITA DATA: A STRUCTURED REVIEW AND CRITICAL TEST

Hundreds of studies in economics misinterpret China's subnational population and per capita data. The most widely used population counts are of hukou registrations from each province, prefecture, county, or city rather than of the people living in each place and generating local gross domestic product. Over 220 million people have left their place of registration, while almost none had when reforms began, creating time-varying errors in estimates of per capita income of subnational units. We survey empirical articles in blue ribbon journals, in development journals, and in regional and urban economics journals that use China's subnational data. Over 80% of articles use these data erroneously; most commonly the wrong population or employment counts are used to measure the size of subnational units, and per capita data are calculated with the wrong denominator for how variables are interpreted. We provide examples of errors from each group of journals, and a critical test of one highly cited study. Specifically, we show that if hukou registrations are erroneously used to measure the local population, following existing practice, conclusions about driving forces for urban area expansion are reversed. We give recommendations for more careful use of China's subnational population and per capita data.     

CAUSAL INFERENCE ON EDUCATION POLICIES: A SURVEY OF EMPIRICAL STUDIES USING PISA,TIMSS AND PIRLS

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasi‐experimental techniques applied to three well‐known international large‐scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004–2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.     

Across the great divide: a literature review of management accounting and operations management at the shop floor

Management accounting’s ability to provide relevant information in production environments has long been discussed in the fields of management accounting (MA) and operations management (OM). Researchers from each field play a major part not only in disseminating their research results, but also in channelling their perceptions of management accounting in production environments through journal publications. The thesis of this paper is that via an examination of the paradigms, theories, and methods in the fields of MA and OM our understanding of the prevailing assumptions about management accounting in production environments in the academic community can be enhanced. The review shows a divide between the fields where the field of OM is oriented towards problem-solving, and the field of MA is more theory oriented. The review points out that the understanding of practice is a divider between the fields, but it also suggests that incorporation of practicing production members into research is a promising path forward. The paper then concludes that OM problematizes management accounting in production environments as a starting point for their research agenda and that both fields portrayal of management accounting in production environments need to be nuanced. There is a need to challenge the research expectations and to accept unconventional research methods to enhance knowledge about management accounting in production environments.

     

Mixed methods studies in entrepreneurship research: Applications and contributions

Mixed methods research is becoming an increasingly popular approach in several fields. However, its application in the field of entrepreneurship has not been studied. The authors reviewed the use of mixed methods research in three entrepreneurship journals and two leading generalistic journals that publish entrepreneurship research, examining the main purposes and designs. A total of 955 articles were reviewed and 81 mixed methods studies were identified. The analysis of these articles revealed opportunities associated with the application of this approach. Mixed methods may help to improve entrepreneurship research addressing challenges emphasized in earlier studies. Suggestions on why and how to use mixed methods research are offered, and recommendations are provided to guide future mixed methods studies to advance our understanding of the entrepreneurial phenomenon.     

Time is of the essence: Improving the conceptualization and measurement of time

We advance the understanding and measurement of the concept of time by offering a taxonomy of four distinct time constructs: duration, frequency, timing, and sequence. On the basis of a literature review of human resource management and allied fields (i.e., organizational behavior, industrial and organizational psychology, general management, entrepreneurship, and strategic management studies), we offer recommendations on how to measure each construct as well as illustrations drawn from different domains and theories on how these recommendations can be implemented. In addition, for each construct, we offer specific, practical, and actionable recommendations regarding critical design choices, dilemmas, and trade-offs that must be considered when investigating time conceptually and empirically. We discuss these recommendations in the form of a sequential decision-making process that can be used as a roadmap by researchers. We hope our conceptualization and recommendations will serve as a catalyst and useful resource for future conceptual and empirical research that aims to formulate better time-sensitive and temporally falsifiable theories.     

The use of mixed methods research in the field of behavioural sciences

Mixed methods research involves the combined use of quantitative and qualitative methods in the same research study, and it is becoming increasingly important in several scientific areas. The aim of this paper is to review and compare through a mixed methods multiple-case study the application of this methodology in three reputable behavioural science journals: the Journal of Organizational Behavior, Addictive Behaviors and Psicothema. A quantitative analysis was carried out to review all the papers published in these journals during the period 2003–2008 and classify them into two blocks: theoretical and empirical, with the latter being further subdivided into three subtypes (quantitative, qualitative and mixed). A qualitative analysis determined the main characteristics of the mixed methods studies identified, in order to describe in more detail the ways in which the two methods are combined based on their purpose, priority, implementation and research design. From the journals selected, a total of 1,958 articles were analysed, the majority of which corresponded to empirical studies, with only a small number referring to research that used mixed methods. Nonetheless, mixed methods research does appear in all the behavioural science journals studied within the period selected, showing a range of designs, where the sequential equal weight mixed methods research design seems to stand out.     

The scholarly exchange of knowledge in Operations Management

A number of studies have investigated the quality of journals in Operations Management. This research steps back from these studies and investigates the exchange of ideas within Operations Management journals and between other management disciplines (Management, Marketing, and Finance) during the last decade (1998–2007). Journal citation metrics provide a measure for the exchange of scholarly ideas. Operations Management (OM) journals show a willingness to cross-pollinate ideas with other management disciplines. But, they also tend to have a higher level of self citations and lower level of within discipline citation exchanges when compared to other management disciplines. As a result, Operations Management journals may reflect methodological silos in the field that could potentially dampen scholarly exchange. In general, increasing the diversity of scholarly exchanges within Operations Management, and conducting more cross-disciplinary research with other management disciples should improve the scholarly development of Operations Management.     

The family in the center of international assignments: a systematic review and future research agenda

Over the past 30 years, the number of studies investigating the family interface of international assignments has risen substantially. While alternative forms of international assignments have been gaining importance, this article focuses specifically on the family interface of traditional organization assigned expatriation as the most prominent and most researched form of global work. Thus far, research has investigated a broad array of topics ranging from the family’s willingness to relocate over family adjustment to work-family balance and utilized a large variety of theoretical foundations. Given this variety in the literature, the field is fragmented and lacks a consistent theoretical argumentation. As a first step to provide some organization, we synthesize the family expatriation literature by developing a comprehensive multi-level framework of the determinants and dimensions of family outcomes. To achieve this objective, we critically assess publications between 1985 and 2017 in peer-viewed international journals, examine theoretical foundations and review the extant literature based on our framework. With this we uncover similarities and inconsistencies in the field, which allows us to deduce an agenda for future research and offer recommendations for practice.     

Performance of methods to conduct mediation analysis with time-to-event outcomes

Previous studies have discouraged the use of the Cox proportional hazards (PH) model for traditional mediation analysis as it might provide biased results. Accelerated failure time (AFT) models have been proposed as an alternative for Cox PH models. In addition, the use of the potential outcomes framework has been proposed for mediation models with time-to-event outcomes. The aim of this paper is to investigate the performance of traditional mediation analysis and potential outcomes mediation analysis based on both the Cox PH and the AFT model. This is done by means of a Monte Carlo simulation study and the illustration of the methods using an empirical data set. Both the product-of-coefficients method of the traditional mediation analysis and the potential outcomes framework yield unbiased estimates with respect to their own underlying indirect effect value for simple mediation models with a time-to-event outcome and estimated based on Cox PH or AFT.