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Purpose – This chapter provides an overview of multilevel modeling with a focus on the application of hierarchical linear modeling (HLM) in international management research.

Findings – The key topics covered include an introduction to hierarchical linear models, how to apply appropriate hierarchical linear models to address different types of international management research questions, and six methodological issues concerning international management research with a multilevel analysis.

Originality/value – The overview of HLM and its relevance for international management research facilitates researchers to apply this powerful analytical strategy in their future research.

This article reviews the extensive history of dynamic performance research, with the goal of providing a clear picture of where the field has been, where it is now, and where it needs to go. Past research has established that job performance does indeed change, but the implications of this dynamism and the predictability of performance trends remain unresolved. Theories are available to help explain dynamic performance, and although far from providing an unambiguous understanding of the phenomenon, they offer direction for future theoretical development. Dynamic performance research does suffer from a number of methodological difficulties, but new techniques have emerged that present even more opportunities to advance knowledge in this area. From this review, I propose research questions to bridge the theoretical and methodological gaps of this area. Answering these questions can advance both research involving job performance prediction and our understanding of the effects of human resource interventions.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

Over the last decade, latent growth modeling (LGM) utilizing hierarchical linear models or structural equation models has become a widely applied approach in the analysis of change. By analyzing two or more variables simultaneously, the current method provides a straightforward generalization of this idea. From a theory of change perspective, this chapter demonstrates ways to prescreen the covariance matrix in repeated measurement, which allows for the identification of major trends in the data prior to running the multivariate LGM. A three-step approach is suggested and explained using an empirical study published in the Journal of Applied Psychology.

This chapter describes how to use popular software programs (Hierarchical Linear Modeling, LISREL) to analyze multiwave panel data. We review prevailing methods for panel data analyzes in strategic management research and identify their limitations. Then, we explain how multilevel and latent growth modeling provide more rigorous methodologies for studying dynamic phenomena. We present an example illustrating how firm performance can initiate temporal change in the human and social capital of members of Board of Directors, using hierarchical linear modeling. With the same data set, we replicate this test with first-order factor latent growth modeling (LGM). Next, we explain how to use second-order factor LGM with panel data on employee cognitions. Finally, we review the relative advantages and disadvantages of these new data-analytical approaches.

Purpose – The purpose of this chapter is to examine methodological trends in emerging market strategy research and to provide a comprehensive review of methods of assessing group variation in comparative studies.

Methodology/approach – This comprises a systematic review of the methodology of emerging market research over the past 10 years, followed by methodological best practices for comparative studies involving emerging and mature markets, with exemplars from the past research.

Findings – Despite previous calls for more comparative studies in emerging market research, most of the literature is reporting on single-country studies. There is some confusion in terminology and the methods used in this area of strategy research. Increased attention to the “East” calls for a reevaluation of methods utilized in comparative studies. The methods described in this chapter present best practices for comparative research.

Social implications – More comparative studies would substantially expand our understanding of the differences between the emerging and developed markets, and the potential impact of emerging markets on global economy. Rigorous research methods extend validity and generalizability of the studies.

Originality/value – This chapter is the first study to date to analyze the methodological trends of the entire field of emerging market research over the span of 10 years and to provide systematic methodological recommendations tailored to analyzing variation in comparative studies.

Over the last several decades, businesses have faced mounting pressures from diverse stakeholders to alter their corporate operations to become more socially and environmentally responsible. In turn, many firms appear to have responded by implementing more sustainable practices — measuring, documenting, and publishing annual CSR or sustainability reports to showcase how they are addressing important issues in this area, including: resource stewardship, waste management, greenhouse gas emission reductions, fair and safe labor practices, amongst other stakeholder concerns. And yet, research in this domain has not yet systematically examined whether businesses have, on the whole, changed their practices in tandem with the important changes in its institutional context over time. Have corporate CSR initiatives, in fact, been growing over the last 25 years or has the increased attention to CSR actually been much ado about nothing? In this chapter, we review the empirical literature on CSR to uncover that common measures of CSR such as the KLD do not support the concept that CSR practices have increased substantively over the last 25 years. We supplement this historical review by modeling the growth curves of CSR implementation in practice and find that the pace of positive change has indeed been glacial. More alarmingly, we also look at corporate social irresponsibility (CSiR) and find that, contrary to expectations, businesses have become more, not less, irresponsible during this same time period. Implications of these findings for theory are presented as are suggestions for future research in this domain.

This study proposes a multilevel framework to test the mechanisms and boundary conditions of the relationships between positive group affective tone (PGAT) and individual/team creativity.

Data are collected from 122 research and development (R&D) teams (including 305 members and 122 team leaders). Hierarchical linear modeling analyses and hierarchical regression analyses are performed to test hypotheses.

The results show that PGAT facilitates individual creativity via enhanced work engagement, and increases team creativity via team information exchange. Supporting the substituting perspective, we found that the positive indirect effects of PGAT on individual/team creativity were attenuated when supervisory support is high.

Although all variables were collected at the same time and the individual-level variables were collected from the same source, our findings highlight the mechanisms explaining the beneficial effects of PGAT on individual/team creativity, and how supervisory support can substitute for such effects.

In order to make the individuals and teams more creative, the organizations need to promote PGAT via the selection of appropriated leader and members or team social events. Moreover, supervisors support is particularly salient in enhancing team creativity when PGAT is low.

This study is the one of the first study to test the motivational/social mechanisms linking the relationship between PGAT and individual/team creativity, and the competing theoretical perspectives regarding how supervisory support can moderate the PGAT–creativity linkage.

To investigate the association between country-level differences in childcare enrollment, the presence of affirmative action policy, and female parliamentary representation and individual-level conflict between work and family.

This study applies data from the 2002 International Social Survey Program (n = 14,000 + ) for respondents in 29 countries and pairs them with macro-level measures of childcare enrollment, the presence of affirmative action policy, and female parliamentary representation. I estimate the model using hierarchical linear modeling (HLM 7) and also assess cross-level interactions by gender and parental status.

The models show that female parliamentary representation has a robust negative association with individual-level reports of work–family and family–work conflict. These associations do not vary by gender or parental status. Also, mothers report less family–work conflict in countries with more expansive childcare enrollment, indicating that this welfare policy benefits the intended group.

This research implies that greater female parliamentary representation has widespread benefits to all citizens’, rather than just women’s or mothers’, work–family and family–work conflict. Additional longitudinal research would benefit this area of study.

This research suggests that increasing female parliamentary representation at the country-level may promote work–life balance at the individual-level. It also indicates that public childcare enrollment benefits women through lower family–work conflict which may encourage continuous maternal labor force participation and reduce economic gender inequality.

This chapter builds on an emerging area of work–family research applying multilevel modeling to draw empirical links between individual work–family experiences and macro-level structural variation.