Text Mining in Organizational Research

Kobayashi, Vladimer; Mol, Stefan T.; Berkers, Hannah A.; Kismihók, Gábor; Hartog, Deanne N. Den

doi:10.1177/1094428117722619

Cited by 202 publications

(180 citation statements)

References 105 publications

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“…Smither and Walker () and Brutus () discussed the practice of assessing specific units of information (i.e., themes) from comments, and Kobayashi et al. () outline empirical methods for topic modeling and dimensionality reduction. Future research might consider factor analytical methods, clustering methods, or more advanced natural language processing methods to gain additional meaning from the data.…”

Section: Discussionmentioning

confidence: 99%

Quantifying with words: An investigation of the validity of narrative‐derived performance scores

Speer

2018

Personnel Psychology

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Performance appraisal research has focused almost entirely on traditional numerical ratings despite narrative text comments regularly being collected within appraisals. This study investigated the theory and utility of leveraging narrative comments to better understand employee performance. Narrative sentiment scores were derived using text mining on a large sample of narrative comments. These scores were then applied to an independent set of 2 years of performance data. It was assumed that narrative comments would reflect true performance variance that overlaps with traditional ratings, but also that they would capture incremental variance due to increases in total information and a reduction in rater‐motivated biases in contexts in which narrative data were not explicitly linked to administrative outcomes. The derived narrative scores were reliable across years, converged with traditional numerical ratings and explained incremental variance in future performance outcomes (performance ratings, involuntary turnover, promotions, and pay increases). Collectively, this study highlights how narratives can enhance performance measurement and demonstrates how these data can be economically scored in applied settings.

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Section: Discussionmentioning

confidence: 99%

Quantifying with words: An investigation of the validity of narrative‐derived performance scores

Speer

2018

Personnel Psychology

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“…Given the relatively nascent phase that research on career shocks is still in, applying an exploratory qualitative perspective might be fruitful to obtain some key new insights into the occurrence and impact of career shocks. In terms of analysing such rich data, it would be possible to apply innovative tools such as text mining (Kobayashi, Mol, Berkers, Kismihók, & Den Hartog, 2017) or qualitative comparative analysis (Rihoux & Ragin, 2008), which would allow researchers to analyse large amounts of data and search for common themes in terms of career shocks. Because career shocks might be quite different among different target groups -for example, young workers who might especially deal with shocks related to issues that they have never faced before versus older workers who might especially deal with shocks related to age stereotyping and retirement -using text mining would enable researchers to explore a vast array of different shocks among different groups of workers, which would open up many research opportunities.…”

Section: Methodsmentioning

confidence: 99%

Tales of the unexpected: Integrating career shocks in the contemporary careers literature

Akkermans

Seibert

Mol

2018

SA j. ind. psychol.

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181

381

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Orientation: This article addresses the interplay between individual agency and contextual factors in contemporary career development processes. In light of the prominence of the former in the contemporary scholarly debate, we present a case for a more comprehensive approach by heeding the latter as well. Research purpose:The main aim of this article was to provide a definition and conceptualisation of career shocks, as well as an agenda for future research on this topic.Motivation for the study: Most of the contemporary careers literature has overemphasised the role of individual agency in career development. While certainly important, we argue that we also need to address the role of context -in this case, career shocks -in order to gain a fuller appreciation of career development processes. Main conclusions and implications:We provide a definition of career shocks based on the existing literature related to chance events and turnover. In addition, we provide an overview of attributes of career shocks, potentially valuable theoretical perspectives and key issues for future research.Contribution: This article brings together several existing streams of literature related to career shocks and provides an integrative definition and conceptualisation. We hope that this will ignite future research on an important but often overlooked topic.

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“…Yet, different review methods can be used to shed light further on the debate. One such method is text analysis or text mining (Kobayashi et al, 2018). For example, text mining can be used to explore abstracts or whole papers to reveal new facts, trends or constructs deriving from patterns and relationship in the text.…”

Section: New Research Methodsmentioning

confidence: 99%

History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations

Batistič

Laken

2019

British J of Management

149

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Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world. Research linking BDA to improved organizational performance seems scarce and widely dispersed though, with the majority focused on specific domains and/or macro‐level relationships. In order to synthesize past research and advance knowledge of the potential organizational value of BDA, the authors obtained a data set of 327 primary studies and 1252 secondary cited papers. This paper reviews this body of research, using three bibliometric methods. First, it elucidates its intellectual foundations via co‐citation analysis. Second, it visualizes the historical evolution of BDA and performance research and its substreams through algorithmic historiography. Third, it provides insights into the field's potential evolution via bibliographic coupling. The results reveal that the academic attention for the BDA–performance link has been increasing rapidly. The study uncovered ten research clusters that form the field's foundation. While research seems to have evolved following two main, isolated streams, the past decade has witnessed more cross‐disciplinary collaborations. Moreover, the study identified several research topics undergoing focused development, including financial and customer risk management, text mining and evolutionary algorithms. The review concludes with a discussion of the implications for different functional management domains and the gaps for both research and practice.

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Text Mining in Organizational Research

Cited by 202 publications

References 105 publications

Quantifying with words: An investigation of the validity of narrative‐derived performance scores

Quantifying with words: An investigation of the validity of narrative‐derived performance scores

Tales of the unexpected: Integrating career shocks in the contemporary careers literature

History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations

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