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Why enterprise resource planning initiatives do succeed in the long run: A case-based causal network.
Zerbino, Pierluigi; Aloini, Davide; Dulmin, Riccardo; Mininno, Valeria.
  • Zerbino P; Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Largo Lucio Lazzarino, Pisa, Italy.
  • Aloini D; Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Largo Lucio Lazzarino, Pisa, Italy.
  • Dulmin R; Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Largo Lucio Lazzarino, Pisa, Italy.
  • Mininno V; Department of Energy, Systems, Territory and Construction Engineering, University of Pisa, Largo Lucio Lazzarino, Pisa, Italy.
PLoS One ; 16(12): e0260798, 2021.
Article in English | MEDLINE | ID: covidwho-1599553
ABSTRACT
Despite remarkable academic efforts, why Enterprise Resource Planning (ERP) post-implementation success occurs still remains elusive. A reason for this shortage may be the insufficient addressing of an ERP-specific interior boundary condition, i.e., the multi-stakeholder perspective, in explaining this phenomenon. This issue may entail a gap between how ERP success is supposed to occur and how ERP success may actually occur, leading to theoretical inconsistency when investigating its causal roots. Through a case-based, inductive approach, this manuscript presents an ERP success causal network that embeds the overlooked boundary condition and offers a theoretical explanation of why the most relevant observed causal relationships may occur. The results provide a deeper understanding of the ERP success causal mechanisms and informative managerial suggestions to steer ERP initiatives towards long-haul success.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Care Rationing / Hospital Information Systems / Efficiency, Organizational / Delivery of Health Care, Integrated / Resource Allocation / Financial Management, Hospital / Health Resources Topics: Long Covid Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0260798

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Care Rationing / Hospital Information Systems / Efficiency, Organizational / Delivery of Health Care, Integrated / Resource Allocation / Financial Management, Hospital / Health Resources Topics: Long Covid Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0260798