Organizational Research Methods最新文献_第6页

Measuring What Matters: Assessing how Executives Reference Firm Performance in Corporate Filings 衡量重要因素：评估高管在公司文件中如何参考公司业绩

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-10-11 DOI: 10.1177/10944281221125160

S. Certo, Chunhu Jeon, Kristen A. Raney, Wookyung Lee

{"title":"Measuring What Matters: Assessing how Executives Reference Firm Performance in Corporate Filings","authors":"S. Certo, Chunhu Jeon, Kristen A. Raney, Wookyung Lee","doi":"10.1177/10944281221125160","DOIUrl":"https://doi.org/10.1177/10944281221125160","url":null,"abstract":"We know very little about the performance measures executives use to make decisions. To fill this void, we investigate the performance variables that executives reference in corporate filings with the SEC. Our analyses suggest that executives refer to monetary variables (i.e., revenue, profit, and cash flow) in over 98% of filings. In contrast, executives refer to the unitless performance measures scaled by size (i.e., return on assets, return on equity), which are favored by organizational scholars, in less than 15% of filings. We find that this preference for unscaled measures remains across market capitalization and actual firm performance. In other words, even observations with the highest levels of ROA and ROE are more likely to include monetary measures as opposed to ratios. In fact, we find that almost every observation that references ratios also includes monetary measures of firm performance. Stated differently, our findings suggest executives use ratios in addition to—and not instead of—monetary measures. We discuss research opportunities for scholars to further align with the practitioner perspective and to revisit conceptualizations of firm performance.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45607947","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: 3

Advancing Reproducibility and Accountability of Unsupervised Machine Learning in Text Mining: Importance of Transparency in Reporting Preprocessing and Algorithm Selection 提高文本挖掘中无监督机器学习的可重复性和可问责性：透明性在报告预处理和算法选择中的重要性

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-09-21 DOI: 10.1177/10944281221124947

L. Valtonen, S. Mäkinen, J. Kirjavainen

{"title":"Advancing Reproducibility and Accountability of Unsupervised Machine Learning in Text Mining: Importance of Transparency in Reporting Preprocessing and Algorithm Selection","authors":"L. Valtonen, S. Mäkinen, J. Kirjavainen","doi":"10.1177/10944281221124947","DOIUrl":"https://doi.org/10.1177/10944281221124947","url":null,"abstract":"Machine learning (ML) enables the analysis of large datasets for pattern discovery. ML methods and the standards for their use have recently attracted increasing attention in organizational research; recent accounts have raised awareness of the importance of transparent ML reporting practices, especially considering the influence of preprocessing and algorithm choice on analytical results. However, efforts made thus far to advance the quality of ML research have failed to consider the special methodological requirements of unsupervised machine learning (UML) separate from the more common supervised machine learning (SML). We confronted these issues by studying a common organizational research dataset of unstructured text and discovered interpretability and representativeness trade-offs between combinations of preprocessing and UML algorithm choices that jeopardize research reproducibility, accountability, and transparency. We highlight the need for contextual justifications to address such issues and offer principles for assessing the contextual suitability of UML choices in research settings.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":" ","pages":""},"PeriodicalIF":9.5,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44146497","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

Reviewer Resources: Confirmatory Factor Analysis 评审员资源：验证性因素分析

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-08-31 DOI: 10.1177/10944281221120541

Christopher D. Nye

引用次数: 6

Corrigendum to Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors’ COVID-19 Press Briefings 使用CATA和机器学习以新方式实现旧结构的操作:以美国州长COVID-19新闻发布会为例

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-08-21 DOI: 10.1177/10944281221114765

J. Marshall, F. Yammarino, S. Parameswaran, M. Cheong

引用次数: 0

Construct Development and Validation in Three Practical Steps: Recommendations for Reviewers, Editors, and Authors* 在三个实际步骤中构建开发和验证:对审稿人，编辑和作者的建议*

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-08-15 DOI: 10.1177/10944281221115374

L. Lambert, Daniel A. Newman

引用次数: 14

Entwined Positionality and Interpretive Frames of Reference: An Autoethnographic Account 纠缠的位置性和解释性参考框架：一个民族志解释

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-06-30 DOI: 10.1177/10944281221111401

Yemisi Bolade-Ogunfodun, Lebene Richmond Soga, B. Laker

引用次数: 4

How Rare Is Rare? How Common Is Common? Empirical Issues Associated With Binary Dependent Variables With Rare Or Common Event Rates 稀有有多稀有？常见程度如何？具有罕见或常见事件率的二元相关变量的经验问题

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-03-01 DOI: 10.1177/10944281221083197

H. Woo, John P. Berns, Pol Solanelles

{"title":"How Rare Is Rare? How Common Is Common? Empirical Issues Associated With Binary Dependent Variables With Rare Or Common Event Rates","authors":"H. Woo, John P. Berns, Pol Solanelles","doi":"10.1177/10944281221083197","DOIUrl":"https://doi.org/10.1177/10944281221083197","url":null,"abstract":"The use of logit and probit models when examining binary dependent variables including those in the form 0/1 (i.e., dummy variables), yes/no, and true/false (hereafter binary DVs) is commonplace. Yet, the appropriateness and effectiveness of such models are challenged when the event rate of a binary DV is rare or common. To better understand the impact on the field of strategy, we undertook a literature review and assessed recently published research in the Strategic Management Journal. We then utilized Monte Carlo simulations with results showing that as event rates become rarer or more common, issues including biased coefficients, standard error inflation, low statistical power to detect significant effects, and model convergence failure increasingly arise. In addition, small sample sizes amplified these empirical issues. Using a strategy example study, we also show how various analytic tools can lead to different findings when empirical models face an extreme event rate with small sample sizes. Based on our findings, we provide step-by-step guidance for strategy researchers going forward.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"1 1","pages":""},"PeriodicalIF":9.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41573269","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

Attitude Toward the Color Blue: An Ideal Marker Variable 对蓝色的态度:一个理想的标记变量

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-02-01 DOI: 10.1177/10944281221075361

B. Miller, Marcia J. Simmering

引用次数: 27

Evaluating Interdependence in Workgroups: A Network-Based Method 评估工作组的相互依赖:基于网络的方法

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-01-28 DOI: 10.1177/10944281211068179

D. Griffin, Ajay V. Somaraju, Christopher R. Dishop, R. DeShon

{"title":"Evaluating Interdependence in Workgroups: A Network-Based Method","authors":"D. Griffin, Ajay V. Somaraju, Christopher R. Dishop, R. DeShon","doi":"10.1177/10944281211068179","DOIUrl":"https://doi.org/10.1177/10944281211068179","url":null,"abstract":"Interdependence is a defining characteristic of groups and teams. However, a vast range of constructs and conceptualizations for interdependence has left researchers with a dizzying array of frameworks, metrics, and perspectives with which to evaluate interdependence. This situation leaves researchers with little guidance on how to theorize about or measure interdependence. As a solution, we propose a network-based perspective of interdependence. This network-based framework moves beyond network approaches to understanding interdependence that have been proposed in the past in three ways. First, this framework is applied generally to interdependence and not to an isolated form of interdependence. Second, building on previous network-based perspectives of interdependence, we present a procedure to conceptualize a team's interdependent relationships in terms of networks. Third, we utilize the network perspective to present a standardized index of interdependence. Using illustrative examples, we demonstrate the utility of this network-based approach and present various recommendations discussing how these approaches advance the study of interdependence.","PeriodicalId":19689,"journal":{"name":"Organizational Research Methods","volume":"26 1","pages":"459 - 498"},"PeriodicalIF":9.5,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44185207","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: 2

Immersion in Organizational Ethnography: Four Methodological Requirements to Immerse Oneself in the Field 沉浸于组织民族志:沉浸于该领域的四个方法论要求

IF 9.5 2区管理学

Organizational Research Methods Pub Date : 2022-01-25 DOI: 10.1177/10944281221075365

G. Dumont

引用次数: 9