Abstract:We offer best-practice recommendations for journal reviewers, editors, and authors regarding data collection and preparation. Our recommendations are applicable to research adopting different epistemological and ontological perspectives—including both quantitative and qualitative approaches—as well as research addressing micro (i.e., individuals, teams) and macro (i.e., organizations, industries) levels of analysis. Our recommendations regarding data collection address (a) type of research design, (b) control … Show more
“…There have been many articles on best practices in responsible research, including several by Herman Aguinis that are particularly appropriate for IB researchers (Aguinis et al, 2017 , 2018 , 2019 ; Bergh et al, 2017 ). In addition, Anne Tsui and colleagues have been actively encouraging business and management scholars to join RRBM (Responsible Research in Business and Management; https://www.rrbm.network ) and adopt RRBM best practices for their research.…”
Section: Conclusion: Words To Live Bymentioning
confidence: 99%
“…Many scholars have written about the methodological challenges that can bedevil scholarship in IB and other disciplines and have recommended best practices for dealing with these challenges. For example, see the wide variety of methodology challenges discussed in Eden, Nielsen and Verbeke ( 2020 ) and recent papers by Aguinis and co-authors (Aguinis, Cascio & Ramani, 2017 ; Aguinis, Hill & Bailey, 2019 ; Aguinis, Ramani & Alabduljader, 2018 ; Bergh, Sharp, Aguinis & Li, 2017 ).…”
International business (IB) research is designed to explore and explain the inherent complexity of international business, which arises from the multiplicity of entities, multiplexity of interactions, and dynamism of the global economic system. To analyze this complexity, IB scholars have developed four research lenses: difference, distance, diversity, and disparity. These four lenses on complexity have created not only unique research opportunities for IB scholarship but also unique research methodological challenges. We therefore view
complexity as the underlying cause of the unique methodological challenges facing international business research.
We offer several recommendations to help IB scholars embrace this complexity and conduct reliable, interesting, and practically relevant research.
“…There have been many articles on best practices in responsible research, including several by Herman Aguinis that are particularly appropriate for IB researchers (Aguinis et al, 2017 , 2018 , 2019 ; Bergh et al, 2017 ). In addition, Anne Tsui and colleagues have been actively encouraging business and management scholars to join RRBM (Responsible Research in Business and Management; https://www.rrbm.network ) and adopt RRBM best practices for their research.…”
Section: Conclusion: Words To Live Bymentioning
confidence: 99%
“…Many scholars have written about the methodological challenges that can bedevil scholarship in IB and other disciplines and have recommended best practices for dealing with these challenges. For example, see the wide variety of methodology challenges discussed in Eden, Nielsen and Verbeke ( 2020 ) and recent papers by Aguinis and co-authors (Aguinis, Cascio & Ramani, 2017 ; Aguinis, Hill & Bailey, 2019 ; Aguinis, Ramani & Alabduljader, 2018 ; Bergh, Sharp, Aguinis & Li, 2017 ).…”
International business (IB) research is designed to explore and explain the inherent complexity of international business, which arises from the multiplicity of entities, multiplexity of interactions, and dynamism of the global economic system. To analyze this complexity, IB scholars have developed four research lenses: difference, distance, diversity, and disparity. These four lenses on complexity have created not only unique research opportunities for IB scholarship but also unique research methodological challenges. We therefore view
complexity as the underlying cause of the unique methodological challenges facing international business research.
We offer several recommendations to help IB scholars embrace this complexity and conduct reliable, interesting, and practically relevant research.
“…Second, we extend the literature on social identity by incorporating OI as a central predictor of both CWB and OCB-thereby, we answer specific calls by Lee et al (2015) as particularly the link of OI and detrimental work behavior (i.e., CWB) is not yet well established empirically [for notable exceptions, see Norman et al (2010), Al-Atwi and Bakir (2014), and Evans and Davis (2014)]. Third, we present four complementary study designs to test our theoretical model in a robust and triangulating fashion [for methodological in-depth discussions, see Turner et al (2017), Aguinis et al (2019), and Podsakoff and Podsakoff (2019)]-in doing so, we offer a consistent empirical support for our theoretical model among employees from Switzerland and the United States in two field studies (studies 1 and 2) as well as in two online experiments (studies 3 and 4; Figure 1).…”
Discretionary behaviors, such as counterproductive work behavior (CWB) and organizational citizenship behavior (OCB), directly refer to an organization's normative expectations. As such, employees engaging in these behaviors violate or exceed organizational norms, respectively. An employee's relationship quality with his or her supervisor [i.e., leader-member exchange (LMX)] has been found to be a prominent antecedent of employees' workplace behavior. However, the actual mechanisms that link LMX and discretionary behaviors (i.e., CWB and OCB) are not yet well understood. Integrating social exchange as well as the social identity theory, we present an employee's organizational identification (OI) as a mechanism that sheds light on why LMX leads to employees' subsequent discretionary behavior. Across four empirical studies employing complementary study designs, we demonstrate that LMX is positively associated with OI, which, in turn, curbs CWB and fosters OCB. Specifically, this pattern of findings is consistent across (1) a cross-sectional study with 188 Swiss employees, (2) a time-lagged study with 502 Swiss employees, (3) an online recall experiment with 131 US participants, and (4) an online vignette experiment with 139 US participants. In sum, we present an integrative theoretical model and respective empirical support to shed light on OI as a pivotal mechanism that can explain why the relationship quality with one's supervisor can simultaneously serve as a deterrent for CWB and foster OCB.
“…Regarding motivation, researchers receive highly valued incentives for publishing in top journals, regardless of an article's methodological limitations (Aguinis, Cummings, Ramani & Cummings, 2020b;Rasheed & Priem, 2020). Second, regarding KSAs, given the fast pace of methodological developments, many reviewers are unable to update their methodological repertoire and may not be as familiar with the latest methodological innovations (Aguinis, Hill & Bailey, 2020). Similarly, researcher KSAs are affected by financial constraints and the decreased number of opportunities for doctoral students and more seasoned researchers alike to receive university-sponsored state-of-the-science methodological training (Aguinis, Ramani & Alabduljader, 2018).…”
We combine after-action review and needs-assessment frameworks to describe the four most pervasive contemporary methodological challenges faced by international business (IB) researchers, as identified by authors of Journal of International Business Studies articles: Psychometrically deficient measures (mentioned in 73% of articles), idiosyncratic samples or contexts (mentioned in 62.2% of articles), less-than-ideal research designs (mentioned in 62.2% of articles), and insufficient evidence about causal relations (mentioned in 8.1% of articles). Then, we offer solutions to address these challenges: demonstrating why and how the conceptualization of a construct is accurate given a particular context, specifying whether constructs are reflective or formative, taking advantage of the existence of multiple indicators to measure multi-dimensional constructs, using particular samples and contexts as vehicles for theorizing and further theory development, seeking out particular samples or contexts where hypotheses are more or less likely to be supported empirically, using Big Data techniques to take advantage of untapped sources of information and to reanalyze currently available data, implementing quasi-experiments, and conducting necessary-condition analysis. Our article aims to advance IB theory by tackling the most typical methodological challenges and is intended for researchers, reviewers and editors, research consumers, and instructors who are training the next generation of scholars.
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