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In this chapter, the authors consider the role of time for research in occupational stress and well-being. First, temporal issues in studying occupational health longitudinally, focusing in particular on the role of time lags and their implications for observed results (e.g., effect detectability), analyses (e.g., handling unequal durations between measurement occasions), and interpretation (e.g., result generalizability, theoretical revision) were discussed. Then, time-based assumptions when modeling lagged effects in occupational health research, providing a focused review of how research has handled (or ignored) these assumptions in the past, and the relative benefits and drawbacks of these approaches were discussed. Finally, recommendations for readers, an accessible tutorial (including example data and code), and discussion of a new structural equation modeling technique, continuous time structural equation modeling, that can “handle” time in longitudinal studies of occupational health were provided.

The method applied to carry out the study of the transformation of strategic alliances in emerging markets is discussed in this chapter. Specifically, this chapter discusses how the whole study is conducted, i.e. the identification and development of the research issues, the research aim and problem, the development of the conceptual framework, the development of the research method, how the empirical study is analyzed and conclusions are drawn. The specific research strategy applied to conduct the current study is a longitudinal research approach. A short discussion on how the ECE countries are classified into various groups is conducted in the current chapter and a detailed discussion on the classification of ECE countries into different groups is also conducted in chapter eight. Moreover, the logic for adopting a longitudinal research strategy to conduct the current study of the transformation of strategic alliances is also justified. The identification and choice of the case companies, the logic followed in the development of the questionnaire and how much and to what extent the questionnaire is modified are also discussed in detail. The identification of the interviewees, the execution of the interviews and the transcription of the interview materials and the structuring of the cases are also discussed in detail.

Longitudinal regression analysis is conducted to clarify causal relations and control for unwanted influences from actor heterogeneity and state dependence on theoretically important coefficient estimates. Because strategic management contains theory on how firms differ and how firm actions are influenced by their current strategic position and recent experiences, consistency of theory and methodology often requires use of longitudinal methods. We describe the theoretical motivation for longitudinal methods and outline some common methods. Based on a survey of recent articles in strategic management, we argue that longitudinal methods are now used more frequently than before, but the use is still inconsistent and insufficiently justified by theoretical or empirical considerations. In particular, strategic management researchers should use dynamic models more often, and should test for the presence of actor effects, autocorrelation, and heteroscedasticity before applying corrections.

Early career researchers are of increasing interest, regardless of national boundaries, given both policies to enhance international competitiveness, and concerns about individuals turning away from academic careers. As a result, there is a growing literature documenting how early career researchers navigate their journeys and decide to stay or leave. Our research is situated within this literature, yet is distinct in using a longitudinal qualitative team-based approach that has led to the conception of identity incorporating both the continuity of stable personhood over time and a sense of ongoing change. The scholarly contribution of this work is to articulate a contrasting perspective to the structural or systemic one common in examining early career researcher experience. Our goal in this chapter is to make transparent the decisions and actions underlying our approach and, in so doing, demonstrate the potential of researching the construction of identity in this way.

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 focuses on how changes in management control systems in a manufacturing company could be affected by the interplay of institutional forces and power mobilization over an extended period of time (1946–1975).

The chapter is grounded in the ‘hybrid’ theoretical framework developed by Yazdifar, Zaman, Tsamenyi, and Askarany (2008) which ties old institutional economics, new institutional sociology and power mobilization frameworks to provide a holistic view of a process of change. Historical analysis contributes to an understanding of the institutional context. The research has been developed by a longitudinal case study by using archival data.

The chapter provides us with an insight into management accounting change during an extended period of time dominated by political instability, economic turbulence, social tensions and change in the company’s presidency. The study suggests that changes were dependent on a complex set of relationships and preconditions, that the specificity of the company’s accounting controls was tied to isomorphism forms and power relationships internal to the company, while pressures from the external environment did not impact significantly on control systems architecture and functioning of the company.

The use of qualitative approach (as longitudinal case studies) is often criticized because its results are not generalizable and replicable.

The chapter clarifies the theoretical underpinnings of the institutional frameworks and power relationships and suggests areas for institutional and interdisciplinary research into management change.

Purpose: This report analyzes relationships between chronic inflammation and quality of life (QoL). It assesses the potential role of intimate relationships in associations between inflammation, medical sequelae such as pain and disability, and QoL.

Design/Methodology/Approach: Limited longitudinal data from the National Social Life, Health, and Aging Project (NSHAP) were analyzed. Inflammation was assessed via the biomarker C-reactive protein (CRP). The authors examined pathwise associations between CRP levels and general happiness. The authors used ordinal logistic regression with companion OLS models, and conducted a variety of sensitivity analyses.

Findings: Intimate partnerships – especially marriage – appear to impact associations between inflammation and QoL. When QoL is measured using general happiness, intimate relationships appear to shape directional associations between inflammation and QoL along with medical consequences of inflammation.

Research Limitations/Implications: Inflammation and its clinical consequences may substantially alter intimate relationship involvement and quality that in turn impact QoL. These relationships should not be viewed as unilateral explanations of the tremendous variability observed in QoL among people with inflammatory conditions, but rather as possible elements of complex causal frameworks. Further investigation using advanced methods for longitudinal modeling from limited waves of data can help to shed additional light on the nuances of happiness and QoL among people living with chronic inflammation.

Originality/Value: This chapter provides an overview of possible causal relationships between chronic inflammation, associated clinical and social experiences, and QoL. Researchers interested in advanced causal modeling of relationships between chronic inflammation and QoL can build on this work using novel methods and data sources.

Social psychological perspectives on educational stratification offer explanations that bridge the macro and micro social worlds. However, while ethnoracial disparities in academic achievement are evident during the earliest grade levels, most social psychological research in this area has examined high school or college student samples and has used a black–white binary to operationalize race.

We use longitudinal structural equation models to examine links between academic self-efficacy beliefs and school performance among a national sample of diverse third- through eighth-grade students in the United States.

Contrary to hypotheses derived from the student identity literature, we find no evidence that elementary and middle school students from different ethnoracial backgrounds vary in the degree to which they selectively discount evaluative feedback in their academic self-efficacy construction, nor in the extent to which they demonstrate disrupted links between academic self-efficacy and subsequent academic performance.

The study examines the extent to which race-linked social psychological processes may be driving academic achievement inequalities during the primary schooling years.

Multiteam systems (MTSs) have been employed across numerous organizations and occupations (e.g., healthcare, emergency disaster response, business, and military) to achieve complex goals over time. As MTSs are inherently different than team level and organizational level theories, this chapter highlights the defining features of these dynamic systems through a temporal lens. Thus, the main purpose of our chapter is to address the challenges and issues concerning MTSs over time in order to provide a future agenda to guide researchers and practitioners.

To explore temporality throughout this chapter, we leverage two key MTSs frameworks along with contributions from the literature to produce a review, which demonstrates the extent of MTS theoretical and practical findings. After reviewing the definitional components of MTSs, we highlight various compositional, linkage, and developmental attributes that operate within a system. We then expand upon these attributes to consider the structural features of the system that enhance boundaries between component teams (i.e., differentiation) and may disrupt the system over time (i.e., dynamism).

After reviewing and integrating current MTS literature, we provide a new conceptual framework for MTSs and their temporal complexities. We offer several methodologies that managers and researchers can employ to assess these complex systems and suggest practical recommendations and areas for future research as we continue to study MTSs.

Our original conceptual framework considers MTSs through a dynamic lens developing over time and suggests the need for future research to build upon this perspective.

Purpose – This study analyzed individual factors of race and dual eligibility on emergency room (ER) utilization of older adult Medicare patients treated by RHCs in CMS Region 4.

Methodology/approach – A prospective, longitudinal design was employed to analyze health disparities that potentially exist among RHC Medicare beneficiary patients (+65) in terms of ER use. The years of investigation were 2010 through 2012, using mixed multilevel, binary logistic regression.

Findings – This study found that dual eligible RHC patients utilized ER services at higher rates than nondual eligible, Medicare only RHC patients at: 77%, 80%, and 66%, in 2010, 2011, and 2012, respectively; and above the White reference group, Black RHC Medicare patients utilized ER services at higher rates of: 18%, 20%, and 34%, in 2010, 2011, and 2012, respectively.

Research limitations/implications – Regarding limitations, cohort data observations within the window of 3 years were only analyzed; regarding generalizability, in different CMS regions, results will likely vary; and linking other variables together in the study was limited by the accessible data. Future research should consider these limitations, and attempt to refine. The findings support that dual Medicare and Medicaid eligibility, as a proxy measure of socioeconomic status, and race continue to influence higher rates of ER utilization in CMS Region 4.

Originality/value – In terms of ER utilization disparities, persistently, as recent as 2012, Black, dual eligible RHC Medicare beneficiary patients age 65 years and over may be twice as likely to utilize ER services for care than their counterparts in the Southeastern United States.