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Identification and Classification of Adoption Supporting Measures for Enterprise Collaboration Systems

Published: 01 January 2023 Publication History

Abstract

Recent years have seen increased levels of adoption of Enterprise Collaboration Systems (ECS) in organisations. However, to date, there are limited in-depth studies that provide empirically derived insights into Adoption Supporting Measures (ASM) in the context of ECS. The aim of the study presented in this paper is to identify, analyse and classify ASM for ECS from the organisational perspective and the company staff responsible for managing the ECS implementation. The study follows a qualitative and interpretative research design based on the analysis of company case studies. Through a process of inductive coding of six industry case studies we identified and described 41 different ASM in the context of ECS. These 41 ASM were further analysed and classified into seven categories and related subcategories. The resulting classification is visualised and discussed. The findings presented in this paper serve as an essential intermediate step for further in-depth investigations to understand contextual variations in ECS adoption and how these may vary over the life of an ECS project.

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        Published In

        cover image Procedia Computer Science
        Procedia Computer Science  Volume 219, Issue C
        2023
        2117 pages
        ISSN:1877-0509
        EISSN:1877-0509
        Issue’s Table of Contents

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        Elsevier Science Publishers B. V.

        Netherlands

        Publication History

        Published: 01 January 2023

        Author Tags

        1. Technology Adoption
        2. Enterprise Social Software (ESS)
        3. Enterprise Collaboration Systems (ECS)
        4. Case Study

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