Dissecting the tension of open science standards implementation in management and organization journals

Abstract

Growing concerns about the credibility of scientific findings have sparked a debate on new transparency and openness standards in research. Management and organization studies scholars generally support the new standards, while emphasizing the unique challenges associated with their implementation in this paradigmatically diverse discipline. In this study, I analyze the costs to authors and journals associated with the implementation of new transparency and openness standards, and provide a progress report on the implementation level thus far. Drawing on an analysis of the submission guidelines of 60 empirical management journals, I find that the call for greater transparency was received, but resulted in implementations that were limited in scope and depth. Even standards that could have been easily adopted were left unimplemented, producing a paradoxical situation in which research designs that need transparency standards the most are not exposed to any, likely because the standards are irrelevant to other research designs.

A perspective on using partial least squares structural equation modelling in data articles

“…The case for open science has become a particularly strong one as the world grapples with global challenges of resource scarcity, climate change, poverty, ill-health, pollution, rapid urbanisation and food insecurity [12] . However, although open science practices are increasingly permeating the natural and medical sciences, other fields, including the social sciences, business and management, and economics, are lagging behind in adopting these practices [13][14][15] . As studies in business and management increasingly use the PLS-SEM method (e.g., [16] ), this perspective article also aims to encourage researchers to keep abreast of reporting standards and data curating practices in other disciplinary areas.…”

Open Science Knowledge Production: Addressing Epistemological Challenges and Ethical Implications

“…While I have focused on the epistemological challenges and ethical implications of OS and briefly discussed the ethical issues with various parts of OS, each of the issues deserves more discussion in detail than can be provided in an overarching review. There is also a wide range of ethical issues related to OS in general that are not directly related to epistemic challenges, for example, that OS in qualitative research may violate privacy rights [68]. The objective here has been to provide an overview of the epistemological challenges and their ethical implications so that the specific issues can be addressed in a more detailed manner in further research.…”

Low Research-Data Availability in Educational-Psychology Journals: No Indication of Effective Research-Data Policies

“…Note that making research data available is related to costs (Perry & Netscher, 2022). Data-curation costs and implementing transparency standards vary depending on-among other things-disciplines, study design, data complexity, and the personal information included in the data (Hensel, 2021). Thus, these costs should be estimated in the best possible way in advance when planning a research project.…”