Common method bias in applied settings: The dilemma of researching in organizations
By Peter J. Jordan, Ashlea Troth. Australian Journal of Management, 2020
880 citations recorded by the source corpus.
Authors are experiencing increasing competition for their articles to be published. One way of ensuring their work is given the best chance of being published is to underpin their research with rigorous methods that are characterized by robustness, accuracy and reliability. A common factor that can stymie research rigour is common method bias. Our aim in this article is to outline the nature of, concerns about and examine reasons why researchers still conduct studies that are susceptible to common method bias. We also provide some solutions for avoiding or managing common method bias concerns. In doing this, we acknowledge the substantial work that has been produced on this topic to date and, therefore, focus our contribution specifically on issues that affect research in applied and managerial settings. JEL Classification: C90, D23
Subfields: Applied Psychology, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/9b21309ec3261993bb1784a372421324d74abe49
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In Applied Psychology
In Management Information Systems
Citations in the corpus
- RETRACTED ARTICLE: Impact of artificial intelligence on human loss in decision making, laziness and safety in education (2023, neutral): “The primary reason is the response tendency, in which the respondents of the research rate equally to all questions (Jordan and Troth, 2020).”
- Explaining Residents’ Behavioral Support for Tourism through Two Theoretical Frameworks (2021, methodology): “Given that the data were collected using a single data source (and at one point in time), we undertook analyses to examine common method bias (CMB) so as to determine if our data were compromised (Jordan and Troth 2020).”