Pub Date : 2024-09-19DOI: 10.1177/01492063241271242
John Joseph, Metin Sengul
We review the research on organization design from 2000 to 2023, inclusive. We identify four major approaches to organization design in the contemporary literature: configuration, control, channelization, and coordination. We discuss the key streams of research that characterize each of these approaches, as well as three emerging areas of research: AI and organizational decision-making, flat organizations, and multiple goals. Beyond the specific contributions of individual papers and streams of work, our review makes a number of high-level observations across approaches. We identify patterns that characterize this body of work, the methods used, open questions for future research, and a discussion of organization design as a theory. Collectively, these observations define the state of organization design research and may provide scholars with a foundation for future research.
{"title":"Organization Design: Current Insights and Future Research Directions","authors":"John Joseph, Metin Sengul","doi":"10.1177/01492063241271242","DOIUrl":"https://doi.org/10.1177/01492063241271242","url":null,"abstract":"We review the research on organization design from 2000 to 2023, inclusive. We identify four major approaches to organization design in the contemporary literature: configuration, control, channelization, and coordination. We discuss the key streams of research that characterize each of these approaches, as well as three emerging areas of research: AI and organizational decision-making, flat organizations, and multiple goals. Beyond the specific contributions of individual papers and streams of work, our review makes a number of high-level observations across approaches. We identify patterns that characterize this body of work, the methods used, open questions for future research, and a discussion of organization design as a theory. Collectively, these observations define the state of organization design research and may provide scholars with a foundation for future research.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"64 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1177/01492063241271197
Marco Tonellato, Valentina Iacopino, Daniele Mascia, Alessandro Lomi
When teams in organizations are assembled to perform contingent tasks, team members carry with them experiences of prior interaction with partners in different teams. Focal team members share collaborative experiences to the extent that they worked with common external prior partners. Extending current research on team effectiveness, we investigate how shared collaborative experience (SCE) affects team performance. Consistent with the established understanding of team processes as carrying both a teamwork and a taskwork component, we conceptualize SCE as having two distinct dimensions that we call SCE extent and SCE diversity. We posit that high SCE extent increases the ability of teams to refine their teamwork processes, increasing their performance through enhanced coordination and reflexivity. We argue that high SCE diversity hinders the ability of teams to form a shared understanding of task demands, thus undermining team performance. Furthermore, we investigate the contingent effect of task complexity on the relationship between SCE and performance. We argue that the benefits of implicit coordination and the drawbacks of experience diversity decrease as tasks become more complex and require more explicit coordination and wider repertoires of responses. These predictions find support in an analysis of 1343 robot-assisted surgery operations performed by 114 surgeons during a four-year period in a private university hospital. By explicitly recognizing how team members benefit from the network of their shared prior partners, our study contributes to developing a new approach to study the effectiveness of temporary teams in organizations.
{"title":"The Partners of My Partners: Shared Collaborative Experience and Team Performance in Surgical Teams","authors":"Marco Tonellato, Valentina Iacopino, Daniele Mascia, Alessandro Lomi","doi":"10.1177/01492063241271197","DOIUrl":"https://doi.org/10.1177/01492063241271197","url":null,"abstract":"When teams in organizations are assembled to perform contingent tasks, team members carry with them experiences of prior interaction with partners in different teams. Focal team members share collaborative experiences to the extent that they worked with common external prior partners. Extending current research on team effectiveness, we investigate how shared collaborative experience (SCE) affects team performance. Consistent with the established understanding of team processes as carrying both a teamwork and a taskwork component, we conceptualize SCE as having two distinct dimensions that we call SCE extent and SCE diversity. We posit that high SCE extent increases the ability of teams to refine their teamwork processes, increasing their performance through enhanced coordination and reflexivity. We argue that high SCE diversity hinders the ability of teams to form a shared understanding of task demands, thus undermining team performance. Furthermore, we investigate the contingent effect of task complexity on the relationship between SCE and performance. We argue that the benefits of implicit coordination and the drawbacks of experience diversity decrease as tasks become more complex and require more explicit coordination and wider repertoires of responses. These predictions find support in an analysis of 1343 robot-assisted surgery operations performed by 114 surgeons during a four-year period in a private university hospital. By explicitly recognizing how team members benefit from the network of their shared prior partners, our study contributes to developing a new approach to study the effectiveness of temporary teams in organizations.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"129 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-04DOI: 10.1177/01492063241268459
Brian L. Connelly, S. Trevis Certo, Christopher R. Reutzel, Mark R. DesJardine, Yi Shi Zhou
Signaling theory is about decision-making and communication. It describes scenarios where signalers send observable signals that carry credible information about unobservable qualities. When decision-makers have incomplete or imperfect information, signals can help them make better decisions. The power of a signal, though, lies in its cost, with the best signals being highly costly for low-quality signalers and less costly for high-quality signalers. Given the centrality of these ideas in the organizational sciences, we examine management studies that use signaling theory to help explain phenomena that occur within and among organizations. Our review draws attention to how signaling theorists have introduced important complexities to the signaling process, uncovered theoretical boundary conditions of signaling, described new actors within signaling systems, and demonstrated novel ways to apply signaling theory to understand behavior in an array of research contexts involving a wide range of organizational stakeholders. We also offer ideas about how scholars can account for costs when they apply the theory, extend the theory in more organizational settings, and create abstract extensions of the theory’s major concepts. Our intent is to provide researchers with a panoramic perspective on the state of signaling theory and inspire further development so that we can collectively advance signaling theory as much in the next decade as it has advanced in the last.
{"title":"Signaling Theory: State of the Theory and Its Future","authors":"Brian L. Connelly, S. Trevis Certo, Christopher R. Reutzel, Mark R. DesJardine, Yi Shi Zhou","doi":"10.1177/01492063241268459","DOIUrl":"https://doi.org/10.1177/01492063241268459","url":null,"abstract":"Signaling theory is about decision-making and communication. It describes scenarios where signalers send observable signals that carry credible information about unobservable qualities. When decision-makers have incomplete or imperfect information, signals can help them make better decisions. The power of a signal, though, lies in its cost, with the best signals being highly costly for low-quality signalers and less costly for high-quality signalers. Given the centrality of these ideas in the organizational sciences, we examine management studies that use signaling theory to help explain phenomena that occur within and among organizations. Our review draws attention to how signaling theorists have introduced important complexities to the signaling process, uncovered theoretical boundary conditions of signaling, described new actors within signaling systems, and demonstrated novel ways to apply signaling theory to understand behavior in an array of research contexts involving a wide range of organizational stakeholders. We also offer ideas about how scholars can account for costs when they apply the theory, extend the theory in more organizational settings, and create abstract extensions of the theory’s major concepts. Our intent is to provide researchers with a panoramic perspective on the state of signaling theory and inspire further development so that we can collectively advance signaling theory as much in the next decade as it has advanced in the last.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"44 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-04DOI: 10.1177/01492063241271252
Maximilian K. Watson, Christopher C. Winchester, Margaret M. Luciano, Stephen E. Humphrey
Structures involve a patterned regularity of interactions and frameworks that guide what individuals work on, with whom, and who influences those decisions. A deeper understanding of structures that exist within organizations has begun to emerge and illuminate new forms of structures (over 100 of them) that drive behavior in organizations. In this scoping review, we organize the fragmented insights on structure within organizations into a unifying framework that provides a coherent foundation for the domain by identifying nine topic domains and offering a summary of each (i.e., authority structures, cognitive structures, communication structures, coordination structures, leadership structures, motivational structures, social structures, task structures, and temporal structures). Next, as multiple structures co-occur within organizations, we explore the connections across topic domains, including their combinations. Understanding the separate topic domains and their combinations enables researchers and practitioners to understand why employee behaviors are inconsistent with the behaviors endorsed by a particular structure and better navigate the inherent complexity of structures within organizations. Finally, we outline implications for future work featuring structure combinations as well as emergent areas from the topic domains, such as the potential for change. Given the ubiquity of structures in organizations and their links with a variety of theoretical domains, this article’s implications have the potential to benefit a wide range of scholars and managers.
{"title":"Categorizing the Complexity: A Scoping Review of Structures Within Organizations","authors":"Maximilian K. Watson, Christopher C. Winchester, Margaret M. Luciano, Stephen E. Humphrey","doi":"10.1177/01492063241271252","DOIUrl":"https://doi.org/10.1177/01492063241271252","url":null,"abstract":"Structures involve a patterned regularity of interactions and frameworks that guide what individuals work on, with whom, and who influences those decisions. A deeper understanding of structures that exist within organizations has begun to emerge and illuminate new forms of structures (over 100 of them) that drive behavior in organizations. In this scoping review, we organize the fragmented insights on structure within organizations into a unifying framework that provides a coherent foundation for the domain by identifying nine topic domains and offering a summary of each (i.e., authority structures, cognitive structures, communication structures, coordination structures, leadership structures, motivational structures, social structures, task structures, and temporal structures). Next, as multiple structures co-occur within organizations, we explore the connections across topic domains, including their combinations. Understanding the separate topic domains and their combinations enables researchers and practitioners to understand why employee behaviors are inconsistent with the behaviors endorsed by a particular structure and better navigate the inherent complexity of structures within organizations. Finally, we outline implications for future work featuring structure combinations as well as emergent areas from the topic domains, such as the potential for change. Given the ubiquity of structures in organizations and their links with a variety of theoretical domains, this article’s implications have the potential to benefit a wide range of scholars and managers.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"382 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-26DOI: 10.1177/01492063241266157
Michael J. Matthews, Thomas K. Kelemen
Social comparisons are one of the most ubiquitous behaviors that individuals, groups, and firms undertake. In particular, social comparison theory is based upon the premise that actors are motivated to engage in comparisons and that decisions throughout this process impact employees’ core self-evaluations, team relations, executives’ behaviors, firm prestige, and more. However, despite the prevalence of the phenomenon—and thereby the frequent application of the theory in organizational studies—a synopsis of the theory’s underpinnings and extant findings remains absent. Here, we present a state-of-the-art review that summarizes the theory’s history and mechanics and critically examines how social comparison theory has been applied in organizational studies across multiple levels of analysis. In particular, we identify several problems within the literature, including patterns of theoretical imprecision when applying the theory, lopsided attention paid to the micro-level of analysis, and an underappreciation of subjective comparisons. In addition to discussing the extant literature and common methodological approaches, we present a simplified model of social comparisons. Based on this new theory-building, we discuss ways the field can move forward to reconcile some of the identified problems.
{"title":"To Compare Is Human: A Review of Social Comparison Theory in Organizational Settings","authors":"Michael J. Matthews, Thomas K. Kelemen","doi":"10.1177/01492063241266157","DOIUrl":"https://doi.org/10.1177/01492063241266157","url":null,"abstract":"Social comparisons are one of the most ubiquitous behaviors that individuals, groups, and firms undertake. In particular, social comparison theory is based upon the premise that actors are motivated to engage in comparisons and that decisions throughout this process impact employees’ core self-evaluations, team relations, executives’ behaviors, firm prestige, and more. However, despite the prevalence of the phenomenon—and thereby the frequent application of the theory in organizational studies—a synopsis of the theory’s underpinnings and extant findings remains absent. Here, we present a state-of-the-art review that summarizes the theory’s history and mechanics and critically examines how social comparison theory has been applied in organizational studies across multiple levels of analysis. In particular, we identify several problems within the literature, including patterns of theoretical imprecision when applying the theory, lopsided attention paid to the micro-level of analysis, and an underappreciation of subjective comparisons. In addition to discussing the extant literature and common methodological approaches, we present a simplified model of social comparisons. Based on this new theory-building, we discuss ways the field can move forward to reconcile some of the identified problems.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"15 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-23DOI: 10.1177/01492063241268695
Jessica R. Methot, Kevin W. Rockmann, Emily H. Rosado-Solomon
Employees’ daily routines (e.g., commutes, lunch breaks, conversations with coworkers or family members) are vital rituals that create order and meaning. However, employees frequently experience changes to how their work and nonwork lives operate, which can generate discontinuity and spark nostalgia—a sentimental longing for the past. In this study, we draw from theory on the dual nature of emotional ambivalence and the literature on emotion regulation to explore countervailing effects of daily nostalgia on employee performance. In a sample of employed adults recruited from a northeastern U.S. university’s alumni database and LinkedIn ( n = 109), we used an experience sampling method to capture within-individual variation in nostalgia over 3 weeks. Results of multilevel path analysis showed, on one hand, nostalgia was positively associated with employees’ cognitive change strategies (e.g., reappraising one’s situation), which translated into heightened organizational citizenship behaviors; on the other hand, nostalgia was also positively associated with employees’ attentional deployment strategies (e.g., distraction), which reduced daily task performance and increased daily counterproductive work behaviors. Unexpectedly, results showed higher trait-level future temporal focus exacerbated the positive effect of nostalgia on attentional deployment. Our results suggest nostalgia embodies a complex mix of emotions that impact individuals’ response strategies and, ultimately, performance.
{"title":"Longing for the Past: The Dual Effects of Daily Nostalgia on Employee Performance","authors":"Jessica R. Methot, Kevin W. Rockmann, Emily H. Rosado-Solomon","doi":"10.1177/01492063241268695","DOIUrl":"https://doi.org/10.1177/01492063241268695","url":null,"abstract":"Employees’ daily routines (e.g., commutes, lunch breaks, conversations with coworkers or family members) are vital rituals that create order and meaning. However, employees frequently experience changes to how their work and nonwork lives operate, which can generate discontinuity and spark nostalgia—a sentimental longing for the past. In this study, we draw from theory on the dual nature of emotional ambivalence and the literature on emotion regulation to explore countervailing effects of daily nostalgia on employee performance. In a sample of employed adults recruited from a northeastern U.S. university’s alumni database and LinkedIn ( n = 109), we used an experience sampling method to capture within-individual variation in nostalgia over 3 weeks. Results of multilevel path analysis showed, on one hand, nostalgia was positively associated with employees’ cognitive change strategies (e.g., reappraising one’s situation), which translated into heightened organizational citizenship behaviors; on the other hand, nostalgia was also positively associated with employees’ attentional deployment strategies (e.g., distraction), which reduced daily task performance and increased daily counterproductive work behaviors. Unexpectedly, results showed higher trait-level future temporal focus exacerbated the positive effect of nostalgia on attentional deployment. Our results suggest nostalgia embodies a complex mix of emotions that impact individuals’ response strategies and, ultimately, performance.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"14 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142045516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-05DOI: 10.1177/01492063241264228
Shaker A. Zahra, Marc Gruber, James G. Combs
The Lean Startup movement fundamentally changed entrepreneurial education and the way new ventures evolve. While Steve Blank and other founders of the movement embraced academic ideas, the movement grew among practitioners largely disconnected from academic entrepreneurship research. The purposes of this special issue are (1) to better connect Lean Startup practice to academic entrepreneurship research and (2) to advance theory regarding Lean Startup practices and their outcomes. After a brief and personal story of Lean Startup’s beginnings by its founder, Steve Blank, the first set of papers in this special issue juxtapose Lean Startup with alternative approaches to new venture creation developed by scholars outside the influence of the Lean Startup movement. The second set of papers describe how Lean Startup might be contextualized for different unique situations. The third set dives into different Lean Startup practices to help researchers and practitioners think more deeply about decisions and trade-offs made during implementation of Lean Startup.
{"title":"Contextualizing Lean Startup and Alternative Approaches for New Venture Creation: Introducing the Special Issue","authors":"Shaker A. Zahra, Marc Gruber, James G. Combs","doi":"10.1177/01492063241264228","DOIUrl":"https://doi.org/10.1177/01492063241264228","url":null,"abstract":"The Lean Startup movement fundamentally changed entrepreneurial education and the way new ventures evolve. While Steve Blank and other founders of the movement embraced academic ideas, the movement grew among practitioners largely disconnected from academic entrepreneurship research. The purposes of this special issue are (1) to better connect Lean Startup practice to academic entrepreneurship research and (2) to advance theory regarding Lean Startup practices and their outcomes. After a brief and personal story of Lean Startup’s beginnings by its founder, Steve Blank, the first set of papers in this special issue juxtapose Lean Startup with alternative approaches to new venture creation developed by scholars outside the influence of the Lean Startup movement. The second set of papers describe how Lean Startup might be contextualized for different unique situations. The third set dives into different Lean Startup practices to help researchers and practitioners think more deeply about decisions and trade-offs made during implementation of Lean Startup.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"101 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-31DOI: 10.1177/01492063241264250
Corine Boon, Kaifeng Jiang, Rory Eckardt
Although time is an essential component of the relationships between human resource (HR) systems and their antecedents and consequences, strategic human resource management (SHRM) research has been long criticized for not paying enough attention to the role of time in theory development and research design. To evaluate how the time issue has been addressed in this research field, we reviewed 237 empirical studies on HR systems that incorporated time, using temporal features. We found that while the number of studies incorporating time has increased substantially over time, there is a lack of progress regarding testing and theorizing temporal effects, thus we lack understanding of change or relationships over time. Based on our findings, we offer specific guidance on hypothesizing and theorizing the role of time in SHRM, and we offer suggestions for research design and statistical analyses in temporal research of SHRM. By integrating temporal models, temporal features, and methodologies for testing temporal relationships with SHRM research, this review aims to advance SHRM research to adopt more truly dynamic views to examine HR systems and their antecedents and effects.
{"title":"The Role of Time in Strategic Human Resource Management Research: A Review and Research Agenda","authors":"Corine Boon, Kaifeng Jiang, Rory Eckardt","doi":"10.1177/01492063241264250","DOIUrl":"https://doi.org/10.1177/01492063241264250","url":null,"abstract":"Although time is an essential component of the relationships between human resource (HR) systems and their antecedents and consequences, strategic human resource management (SHRM) research has been long criticized for not paying enough attention to the role of time in theory development and research design. To evaluate how the time issue has been addressed in this research field, we reviewed 237 empirical studies on HR systems that incorporated time, using temporal features. We found that while the number of studies incorporating time has increased substantially over time, there is a lack of progress regarding testing and theorizing temporal effects, thus we lack understanding of change or relationships over time. Based on our findings, we offer specific guidance on hypothesizing and theorizing the role of time in SHRM, and we offer suggestions for research design and statistical analyses in temporal research of SHRM. By integrating temporal models, temporal features, and methodologies for testing temporal relationships with SHRM research, this review aims to advance SHRM research to adopt more truly dynamic views to examine HR systems and their antecedents and effects.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"44 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-31DOI: 10.1177/01492063241263331
Zijun Ke, Yucheng Zhang, Zhongwei Hou, Michael J. Zyphur
In management research, meta-analysis is often used to aggregate findings from observational studies that lack random assignment to predictors (e.g., surveys), which may pose challenges in making accurate inferences due to the correlational nature of effect sizes. To improve inferential accuracy, we show how instrumental variable (IV) methods can be integrated into meta-analysis to help researchers obtain unbiased estimates. Our IV-based meta-analytic structural equation modeling (IV-MASEM) method relies on the fact that IVs can be incorporated into SEM, and meta-analytic effect sizes from correlational research can be used for MASEM. Conveniently, IV-MASEM does not require that each primary study measures all relevant variables, and it can address typical types of endogeneity, such as omitted variable bias. We clarify how the principles of IV-SEM can be applied to MASEM and then conduct three simulations to study the validity of IV-MASEM versus Univariate Meta-Analyses (UMA) and MASEMs that exclude IVs when the instruments were appropriate, inappropriate, and missing from a subset of primary studies. We also offer an illustrative study to demonstrate how to apply IV-MASEM to address endogeneity concerns in meta-analysis, which includes a new R function to test the qualifying conditions for IVs. We conclude with limitations and future directions for IV-MASEM.
在管理研究中，荟萃分析通常用于汇总缺乏预测因素随机分配的观察性研究（如调查）的结果，由于效应大小的相关性，这可能会给准确推断带来挑战。为了提高推论的准确性，我们展示了如何将工具变量（IV）方法整合到元分析中，以帮助研究人员获得无偏估计值。我们的基于 IV 的元分析结构方程建模（IV-MASEM）方法依赖于这样一个事实：IV 可以被纳入 SEM，而来自相关研究的元分析效应大小可以用于 MASEM。方便的是，IV-MASEM 不要求每项主要研究都测量所有相关变量，而且可以解决典型类型的内生性问题，如遗漏变量偏差。我们阐明了如何将 IV-SEM 的原理应用于 MASEM，然后进行了三次模拟，研究 IV-MASEM 与单变量 Meta-Analyses (UMA) 和 MASEM 的有效性对比，后者在工具适当、不适当以及主要研究子集缺失的情况下排除了 IV。我们还提供了一个示例研究，演示如何应用 IV-MASEM 解决荟萃分析中的内生性问题，其中包括一个新的 R 函数来测试 IV 的合格条件。最后，我们总结了 IV-MASEM 的局限性和未来发展方向。
{"title":"Addressing Endogeneity in Meta-Analysis: Instrumental Variable Based Meta-Analytic Structural Equation Modeling","authors":"Zijun Ke, Yucheng Zhang, Zhongwei Hou, Michael J. Zyphur","doi":"10.1177/01492063241263331","DOIUrl":"https://doi.org/10.1177/01492063241263331","url":null,"abstract":"In management research, meta-analysis is often used to aggregate findings from observational studies that lack random assignment to predictors (e.g., surveys), which may pose challenges in making accurate inferences due to the correlational nature of effect sizes. To improve inferential accuracy, we show how instrumental variable (IV) methods can be integrated into meta-analysis to help researchers obtain unbiased estimates. Our IV-based meta-analytic structural equation modeling (IV-MASEM) method relies on the fact that IVs can be incorporated into SEM, and meta-analytic effect sizes from correlational research can be used for MASEM. Conveniently, IV-MASEM does not require that each primary study measures all relevant variables, and it can address typical types of endogeneity, such as omitted variable bias. We clarify how the principles of IV-SEM can be applied to MASEM and then conduct three simulations to study the validity of IV-MASEM versus Univariate Meta-Analyses (UMA) and MASEMs that exclude IVs when the instruments were appropriate, inappropriate, and missing from a subset of primary studies. We also offer an illustrative study to demonstrate how to apply IV-MASEM to address endogeneity concerns in meta-analysis, which includes a new R function to test the qualifying conditions for IVs. We conclude with limitations and future directions for IV-MASEM.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"27 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-31DOI: 10.1177/01492063241266503
Yiduo Shao, Chengquan Huang, Yifan Song, Mo Wang, Young Ho Song, Ruodan Shao
Augmentation-based artificial intelligence (AI) artifacts are increasingly being incorporated into the workplace. The coupling of employees and AI tools, given their complementary strengths, expands and expedites employees’ access to information and affords important learning opportunities. However, existing research has yet to fully understand the learning-based benefits and challenges for employees in augmentation. Integrating insights from AI augmentation literature and cognitive load theory, we conducted a daily diary study to understand employees’ experience using augmentation-based AI at work on a daily basis. We theorized and found that, on the one hand, frequent usage of augmentation-based AI during a workday was associated with greater knowledge gain and subsequently better task performance at the end of the workday. On the other hand, using augmentation-based AI frequently also led employees to experience information overload, which in turn impaired their performance and recovery at the end of the workday. In addition to elucidating the countervailing mechanisms, we identified employee openness to experience as a dispositional factor, and positive affect as a momentary state that shaped the effects of using augmentation-based AI over the workday. Our research has implications for understanding AI augmentation dynamics from a learning-based perspective, as well as AI’s impact on employees at large.
{"title":"Using Augmentation-Based AI Tool at Work: A Daily Investigation of Learning-Based Benefit and Challenge","authors":"Yiduo Shao, Chengquan Huang, Yifan Song, Mo Wang, Young Ho Song, Ruodan Shao","doi":"10.1177/01492063241266503","DOIUrl":"https://doi.org/10.1177/01492063241266503","url":null,"abstract":"Augmentation-based artificial intelligence (AI) artifacts are increasingly being incorporated into the workplace. The coupling of employees and AI tools, given their complementary strengths, expands and expedites employees’ access to information and affords important learning opportunities. However, existing research has yet to fully understand the learning-based benefits and challenges for employees in augmentation. Integrating insights from AI augmentation literature and cognitive load theory, we conducted a daily diary study to understand employees’ experience using augmentation-based AI at work on a daily basis. We theorized and found that, on the one hand, frequent usage of augmentation-based AI during a workday was associated with greater knowledge gain and subsequently better task performance at the end of the workday. On the other hand, using augmentation-based AI frequently also led employees to experience information overload, which in turn impaired their performance and recovery at the end of the workday. In addition to elucidating the countervailing mechanisms, we identified employee openness to experience as a dispositional factor, and positive affect as a momentary state that shaped the effects of using augmentation-based AI over the workday. Our research has implications for understanding AI augmentation dynamics from a learning-based perspective, as well as AI’s impact on employees at large.","PeriodicalId":54212,"journal":{"name":"Journal of Management","volume":"55 1","pages":""},"PeriodicalIF":13.5,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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