Premium
Expression of Concern
Publication year - 2016
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/deci.12218
Subject(s) - audience measurement , raw data , revenue , relation (database) , computer science , operations research , business , accounting , advertising , data mining , mathematics , programming language
‘Innovation Strategy, Human Resource Policy, and Firms' Revenue Growth: The Roles of Environmental Uncertainty and Innovation Performance’ by A. Oke, F.O. Walumbwa and A. Myers An Expression of Concern is hereby issued in relation to the above article, published online on 8 April 2012 in Wiley Online Library ( wileyonlinelibrary.com ), and in Volume 43, pp. 273–302, by agreement between the authors, the journal Editor in Chief, Cheri Speier‐Pero, the Decision Sciences Institute and Wiley Periodicals, Inc. The substance of the concern is that the fit statistics reported in the article may contain many errors. The journal has investigated the matter with the help of a committee of methodology experts in statistical technique. The committee has come to the conclusion that there may indeed be something wrong with the statistics provided in the article. However, it is difficult to ascertain the implications of these errors unless the raw data is made available. Unfortunately, the authors were not able to provide the raw data despite repeated requests. We feel it is important for our readership to be aware of potential issues with the results reported in this article. We would like to reiterate that authors should be able to provide raw data when requested by journals and editors. Providing access to data when requested is good scientific practice, and is encouraged by this journal.