research-article

A Meta-Analysis of Organizational Learning and IT Assimilation

Authors:

Nicholas Roberts,

Jennifer E. Gerow,

Sara RobertsAuthors Info & Claims

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, Volume 48, Issue 4

Pages 51 - 68

https://doi.org/10.1145/3158421.3158426

Published: 07 November 2017 Publication History

Abstract

Researchers often apply organizational learning concepts and theories to study what factors affect organizational IT assimilation. Although this body of work has substantially improved our understanding of the relationship between organizational learning and IT assimilation, to date there is no rigorous analysis of the empirical research that gives us an accurate assessment of what we truly know in this area. We meta-analyze 33 studies of organizational learning-based IT assimilation. While results show that an organization's level of related knowledge and knowledge diversity are both positively related to IT assimilation, moderator tests show that the consistency in these links varies depending upon the type of IT innovation studied and the way in which assimilation was conceptualized and measured. By narrowing the gap between what we know and what we need to know about the role of organizational learning during IT assimilation, this study contributes to our understanding of whether, when, and how organizations assimilate IT innovations.

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Index Terms

A Meta-Analysis of Organizational Learning and IT Assimilation
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Implementation management

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cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems

ACM SIGMIS Database: the DATABASE for Advances in Information Systems Volume 48, Issue 4

November 2017

98 pages

ISSN:0095-0033

EISSN:1532-0936

DOI:10.1145/3158421

Editors:
Stacie Petter
Baylor Universitym Waco, TX
,
Tom Stafford
Louisiana Tech University, Ruston, LA
,
Xihui "Paul" Zhang
Northern Alabama University, Florence, AL
,
Heidi Seward
Baylor University, Waco, TX

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AlRoshoud AOsman El-Gohary H(2024)A Meta-Analytic Structural Equation Modelling (MASEM) Approach Toward Scrutinizing the Influence of Brand Equity Antecedents on Brand AdvocacyInternational Journal of Customer Relationship Marketing and Management10.4018/IJCRMM.35941415:1(1-23)Online publication date: 10-Nov-2024
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Mishra AShukla ARana NCurrie WDwivedi Y(2023)Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approachInternational Journal of Information Management10.1016/j.ijinfomgt.2022.10257168(102571)Online publication date: Feb-2023
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Jeyaraj ADwivedi Y(2020)Meta-analysis in information systems research: Review and recommendationsInternational Journal of Information Management10.1016/j.ijinfomgt.2020.10222655(102226)Online publication date: Dec-2020
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