What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors. Issue 3 (1st April 2020)
- Record Type:
- Journal Article
- Title:
- What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors. Issue 3 (1st April 2020)
- Main Title:
- What drives organizations to switch to cloud ERP systems? The impacts of enablers and inhibitors
- Authors:
- Chang, Yu-Wei
- Abstract:
- Abstract : Purpose: Switching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of incumbent systems and uncertainty costs of cloud systems. The purpose of this study is to investigate the enablers and inhibitors concerning switching to cloud ERP systems at the organizational level. Design/methodology/approach: Data were collected from 212 top managers and owners of the enterprises in Taiwan, and 10 hypotheses were examined using structural equation modeling. Findings: Technological (system quality), organizational (financial advantage), and environmental contexts (industry pressure) are found to be the antecedents of switching benefits. Perceived risk of cloud ERP systems and satisfaction with and breadth of use of incumbent ERP systems are found to be the predictors of switching costs. Switching benefits positively affect switching intention, but switching costs negatively affect switching intention. Research limitations/implications: This study develops a theoretical model grounded in a set of theoretical foundations, including two-factor theory, technology-organization-environment (TOE) framework, information systems (IS) success model, and expectation confirmation theory (ECT). Two-factor theory is used to characterize switching benefits and costs that affect switching intention. Technological factors come from IS success model, and the factors affectingAbstract : Purpose: Switching to public cloud enterprise resource planning (ERP) systems not only provides financial and functional benefits to organizations, but also results in sunk costs of incumbent systems and uncertainty costs of cloud systems. The purpose of this study is to investigate the enablers and inhibitors concerning switching to cloud ERP systems at the organizational level. Design/methodology/approach: Data were collected from 212 top managers and owners of the enterprises in Taiwan, and 10 hypotheses were examined using structural equation modeling. Findings: Technological (system quality), organizational (financial advantage), and environmental contexts (industry pressure) are found to be the antecedents of switching benefits. Perceived risk of cloud ERP systems and satisfaction with and breadth of use of incumbent ERP systems are found to be the predictors of switching costs. Switching benefits positively affect switching intention, but switching costs negatively affect switching intention. Research limitations/implications: This study develops a theoretical model grounded in a set of theoretical foundations, including two-factor theory, technology-organization-environment (TOE) framework, information systems (IS) success model, and expectation confirmation theory (ECT). Two-factor theory is used to characterize switching benefits and costs that affect switching intention. Technological factors come from IS success model, and the factors affecting benefits are organized based on TOE framework. Sunk costs of incumbent ERP systems are developed based on ECT. Originality/value: Different from previous studies on cloud computing adoption, this study provides insights into switching intention to cloud computing. The study also proposes an integrated model grounded in multiple perspectives to explain organizations' decisions to switch to cloud ERP systems. These findings help cloud service providers better understand how to promote cloud ERP adoption from technical, organizational, and environmental perspectives. … (more)
- Is Part Of:
- Journal of enterprise information management. Volume 33:Issue 3(2020)
- Journal:
- Journal of enterprise information management
- Issue:
- Volume 33:Issue 3(2020)
- Issue Display:
- Volume 33, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 33
- Issue:
- 3
- Issue Sort Value:
- 2020-0033-0003-0000
- Page Start:
- 600
- Page End:
- 626
- Publication Date:
- 2020-04-01
- Subjects:
- Cloud computing -- Two-factor theory -- Technology-organization-environment framework -- Information systems success model -- Expectation confirmation theory
Management information systems -- Periodicals
Business logistics -- Periodicals
Business -- Data processing -- Periodicals
Management -- Data processing -- Periodicals
658.05 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=jeim ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JEIM-06-2019-0148 ↗
- Languages:
- English
- ISSNs:
- 1741-0398
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.291700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13114.xml