{"title":"Dynamic capabilities measurement safari: A roadmap","authors":"Olga Bruyaka, Christiane Prange, Hua Ariel Li","doi":"10.1111/ijmr.12364","DOIUrl":null,"url":null,"abstract":"<p>Lack of transparency about conceptual and measurement choices in empirical studies on dynamic capabilities (DCs) amplifies difficulties scholars face on the road to conducting high-quality quantitative research. Building on the best practices of construct operationalization developed in the organizational research methods literature, we review 18 review studies on DCs research and conduct our own review of 185 quantitative studies published in 1994–2022 through the lens of an auxiliary theory development that formalizes and structures the process of translating a concept into a measurable construct. The present paper draws scholars’ attention to the importance of carefully choosing DCs measurement models as a consequential decision in DCs operationalization, which complements existing studies that either reviewed DCs conceptualizations or developed scales and measures of DCs. Besides providing scholars with an up-to-date map of quantitative research on DCs, our paper includes recommendations for consistent operationalization of DCs and identifies best operationalization practices in DCs quantitative research. Overall, the present paper advances DCs research by clarifying the construct of DCs, which is especially pertinent for future research in this area as it should strive towards robust advancement.</p>","PeriodicalId":48326,"journal":{"name":"International Journal of Management Reviews","volume":"26 4","pages":"495-517"},"PeriodicalIF":7.5000,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management Reviews","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijmr.12364","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Lack of transparency about conceptual and measurement choices in empirical studies on dynamic capabilities (DCs) amplifies difficulties scholars face on the road to conducting high-quality quantitative research. Building on the best practices of construct operationalization developed in the organizational research methods literature, we review 18 review studies on DCs research and conduct our own review of 185 quantitative studies published in 1994–2022 through the lens of an auxiliary theory development that formalizes and structures the process of translating a concept into a measurable construct. The present paper draws scholars’ attention to the importance of carefully choosing DCs measurement models as a consequential decision in DCs operationalization, which complements existing studies that either reviewed DCs conceptualizations or developed scales and measures of DCs. Besides providing scholars with an up-to-date map of quantitative research on DCs, our paper includes recommendations for consistent operationalization of DCs and identifies best operationalization practices in DCs quantitative research. Overall, the present paper advances DCs research by clarifying the construct of DCs, which is especially pertinent for future research in this area as it should strive towards robust advancement.
期刊介绍:
The International Journal of Management Reviews (IJMR) stands as the premier global review journal in Organisation and Management Studies (OMS). Its published papers aim to provide substantial conceptual contributions, acting as a strategic platform for new research directions. IJMR plays a pivotal role in influencing how OMS scholars conceptualize research in their respective fields. The journal's reviews critically assess the state of knowledge in specific fields, appraising the conceptual foundations of competing paradigms to advance current and future research in the area.