Organizational Research Methods最新文献_第3页

Time Dependence in the Cox Proportional Hazard Model as a Theory Development Opportunity: A Step-by-Step Guide 作为理论发展机会的Cox比例风险模型中的时间依赖性:一步一步的指南

2区管理学

Organizational Research Methods Pub Date : 2023-10-11 DOI: 10.1177/10944281231205027

Hyun-Soo Woo, Jisun Kim, Albert A. Cannella

引用次数: 0

A Multimodal Social Signal Processing Approach to Team Interactions 团队互动的多模态社会信号处理方法

2区管理学

Organizational Research Methods Pub Date : 2023-10-05 DOI: 10.1177/10944281231202741

Nale Lehmann-Willenbrock, Hayley Hung

{"title":"A Multimodal Social Signal Processing Approach to Team Interactions","authors":"Nale Lehmann-Willenbrock, Hayley Hung","doi":"10.1177/10944281231202741","DOIUrl":"https://doi.org/10.1177/10944281231202741","url":null,"abstract":"Social signal processing develops automated approaches to detect, analyze, and synthesize social signals in human–human as well as human–machine interactions by means of machine learning and sensor data processing. Most works analyze individual or dyadic behavior, while the analysis of group or team interactions remains limited. We present a case study of an interdisciplinary work process for social signal processing that can develop automatized measures of complex team interaction dynamics, using team task and social cohesion as an example. In a field sample of 25 real project team meetings, we obtained sensor data from cameras, microphones, and a smart ID badge measuring acceleration. We demonstrate how fine-grained behavioral expressions of task and social cohesion in team meetings can be extracted and processed from sensor data by capturing dyadic coordination patterns that are then aggregated to the team level. The extracted patterns act as proxies for behavioral synchrony and mimicry of speech and body behavior which map onto verbal expressions of task and social cohesion in the observed team meetings. We reflect on opportunities for future interdisciplinary or collaboration that can move beyond a simple producer–consumer model.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134946260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The Promise of Just-in-Time Adaptive Interventions for Organizational Scholarship and Practice: Conceptual Development and Research Agenda 组织学术与实践的适时适应性干预承诺:概念发展与研究议程

2区管理学

Organizational Research Methods Pub Date : 2023-09-28 DOI: 10.1177/10944281231202740

Ze Zhu, John A. Aitken, Reeshad S. Dalal, Seth A. Kaplan

{"title":"The Promise of Just-in-Time Adaptive Interventions for Organizational Scholarship and Practice: Conceptual Development and Research Agenda","authors":"Ze Zhu, John A. Aitken, Reeshad S. Dalal, Seth A. Kaplan","doi":"10.1177/10944281231202740","DOIUrl":"https://doi.org/10.1177/10944281231202740","url":null,"abstract":"Organizational researchers are now making widespread use of ecological momentary assessments but have not yet taken the logical next step to ecological momentary interventions, also called Just-in-Time Adaptive Interventions (JITAIs). JITAIs have the potential to test within-person causal theories and maximize practical benefits to participants through two developmental phases: The microrandomized trial and the randomized controlled trial, respectively. In the microrandomized trial design, within-person randomization and experimental manipulation maximize internal validity at the within-person level. In the randomized controlled trial design, interventions are delivered in a timely and ecological manner while avoiding unnecessary and ill-timed interventions that potentially increase participant fatigue and noncompliance. Despite these potential advantages, the development and implementation of JITAIs require consideration of many conceptual and methodological factors. Given the benefits of JITAIs, but also the various considerations involved in using them, this review introduces organizational behavior and human resources researchers to JITAIs, provides guidelines for JITAI design, development, and evaluation, and describes the extensive potential of JITAIs in organizational behavior and human resources research.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Celebrating 25 Years of ORM 庆祝ORM成立25周年

2区管理学

Organizational Research Methods Pub Date : 2023-09-28 DOI: 10.1177/10944281231195788

Lisa Schurer Lambert, Tine Köhler

引用次数: 0

Call for Papers for a Feature Topic: Having A Way with Words: Innovations and Improvements in Text Analysis Methods 征文专题:用文字表达:文本分析方法的创新与改进

2区管理学

Organizational Research Methods Pub Date : 2023-09-11 DOI: 10.1177/10944281231195704

Jason Kiley, Aaron McKenny, Jeremy Short, Anne Smith

引用次数: 0

A Constrained Factor Mixture Model for Detecting Careless Responses that is Simple to Implement 一种易于实现的检测粗心响应的约束因子混合模型

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-08-30 DOI: 10.1177/10944281231195298

C. Kam, S. Cheung

引用次数: 0

From Ties to Events in the Analysis of Interorganizational Exchange Relations. 从纽带到事件:组织间交流关系分析。

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-07-01 DOI: 10.1177/10944281211058469

Federica Bianchi, Alessandro Lomi

{"title":"From Ties to Events in the Analysis of Interorganizational Exchange Relations.","authors":"Federica Bianchi, Alessandro Lomi","doi":"10.1177/10944281211058469","DOIUrl":"https://doi.org/10.1177/10944281211058469","url":null,"abstract":"<p><p>Relational event models expand the analytical possibilities of existing statistical models for interorganizational networks by: (i) making efficient use of information contained in the sequential ordering of observed events connecting sending and receiving units; (ii) accounting for the intensity of the relation between exchange partners, and (iii) distinguishing between short- and long-term network effects. We introduce a recently developed relational event model (REM) for the analysis of continuously observed interorganizational exchange relations. The combination of efficient sampling algorithms and sender-based stratification makes the models that we present particularly useful for the analysis of very large samples of relational event data generated by interaction among heterogeneous actors. We demonstrate the empirical value of event-oriented network models in two different settings for interorganizational exchange relations-that is, high-frequency overnight transactions among European banks and patient-sharing relations within a community of Italian hospitals. We focus on patterns of direct and generalized reciprocity while accounting for more complex forms of dependence present in the data. Empirical results suggest that distinguishing between degree- and intensity-based network effects, and between short- and long-term effects is crucial to our understanding of the dynamics of interorganizational dependence and exchange relations. We discuss the general implications of these results for the analysis of social interaction data routinely collected in organizational research to examine the evolutionary dynamics of social networks within and between organizations.</p>","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"26 3","pages":"524-565"},"PeriodicalIF":9.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/40/59/10.1177_10944281211058469.PMC10278390.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10351480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

A Mixture Model for Random Responding Behavior in Forced-Choice Noncognitive Assessment: Implication and Application in Organizational Research 强迫选择非认知评估中随机反应行为的混合模型及其在组织研究中的应用

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-06-27 DOI: 10.1177/10944281231181642

Siwei Peng, K. Man, B. Veldkamp, Yan Cai, Dongbo Tu

{"title":"A Mixture Model for Random Responding Behavior in Forced-Choice Noncognitive Assessment: Implication and Application in Organizational Research","authors":"Siwei Peng, K. Man, B. Veldkamp, Yan Cai, Dongbo Tu","doi":"10.1177/10944281231181642","DOIUrl":"https://doi.org/10.1177/10944281231181642","url":null,"abstract":"For various reasons, respondents to forced-choice assessments (typically used for noncognitive psychological constructs) may respond randomly to individual items due to indecision or globally due to disengagement. Thus, random responding is a complex source of measurement bias and threatens the reliability of forced-choice assessments, which are essential in high-stakes organizational testing scenarios, such as hiring decisions. The traditional measurement models rely heavily on nonrandom, construct-relevant responses to yield accurate parameter estimates. When survey data contain many random responses, fitting traditional models may deliver biased results, which could attenuate measurement reliability. This study presents a new forced-choice measure-based mixture item response theory model (called M-TCIR) for simultaneously modeling normal and random responses (distinguishing completely and incompletely random). The feasibility of the M-TCIR was investigated via two Monte Carlo simulation studies. In addition, one empirical dataset was analyzed to illustrate the applicability of the M-TCIR in practice. The results revealed that most model parameters were adequately recovered, and the M-TCIR was a viable alternative to model both aberrant and normal responses with high efficiency.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41961861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Demographic Inference in the Digital Age: Using Neural Networks to Assess Gender and Ethnicity at Scale 数字时代的人口推断:使用神经网络大规模评估性别和种族

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-06-14 DOI: 10.1177/10944281231175904

Amal Chekili, Ivan Hernandez

{"title":"Demographic Inference in the Digital Age: Using Neural Networks to Assess Gender and Ethnicity at Scale","authors":"Amal Chekili, Ivan Hernandez","doi":"10.1177/10944281231175904","DOIUrl":"https://doi.org/10.1177/10944281231175904","url":null,"abstract":"Gender and ethnicity are increasingly studied topics within I-O psychology, helpful for understanding the composition of collectives, experiences of marginalized group members, and differences in outcomes between demographics and capturing diversity at higher levels. However, the absence of explicit, structured, demographic information online makes applying these research questions to Big Data sources challenging. We highlight how deep neural networks can be used to infer demographics based on people's names, which are commonly found online (e.g., social media profiles, employee pages, and membership rosters), using broad international data to train and evaluate the effectiveness of these models and find that validity coefficients meet minimum reliability thresholds at the individual level ( rgender = .91, rethnicity = .80) highlighting their ability to contextualize and facilitate Big Data research. Using empirical data extracted from databases, websites, and mobile apps, we highlight how these models can be applied to large organizational data sets by presenting illustrative demonstrations of research questions that incorporate the information provided by the model. To promote broader usage, we offer an online application to infer demographics from names without requiring advanced programming knowledge.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46027719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heterogeneity in Meta-Analytic Effect Sizes: An Assessment of the Current State of the Literature 元分析效应大小的异质性：对文献现状的评估

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2023-05-19 DOI: 10.1177/10944281231169942

S. Kepes, Wenhao Wang, J. Cortina

{"title":"Heterogeneity in Meta-Analytic Effect Sizes: An Assessment of the Current State of the Literature","authors":"S. Kepes, Wenhao Wang, J. Cortina","doi":"10.1177/10944281231169942","DOIUrl":"https://doi.org/10.1177/10944281231169942","url":null,"abstract":"Heterogeneity refers to the variability in effect sizes across different samples and is one of the major criteria to judge the importance and advancement of a scientific area. To determine how studies in the organizational sciences address heterogeneity, we conduct two studies. In study 1, we examine how meta-analytic studies conduct heterogeneity assessments and report and interpret the obtained results. To do so, we coded heterogeneity-related information from meta-analytic studies published in five leading journals. We found that most meta-analytic studies report several heterogeneity statistics. At the same time, however, there tends to be a lack of detail and thoroughness in the interpretation of these statistics. In study 2, we review how primary studies report heterogeneity-related results and conclusions from meta-analyses. We found that the quality of the reporting of heterogeneity-related information in primary studies tends to be poor and unrelated to the detail and thoroughness with which meta-analytic studies report and interpret the statistics. Based on our findings, we discuss implications for practice and provide recommendations for how heterogeneity assessments should be conducted and communicated in future research.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43622205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1