dc.contributor.author | Alrabiah, Abdulrahman | |
dc.contributor.author | Drew, Steve | |
dc.date.accessioned | 2019-05-29T12:35:46Z | |
dc.date.available | 2019-05-29T12:35:46Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1328-7265 | |
dc.identifier.doi | 10.1108/JSIT-08-2017-0069 | |
dc.identifier.uri | http://hdl.handle.net/10072/380374 | |
dc.description.abstract | Purpose – This paper first aims to examine how business process change decisions (BPCDs) were
implemented in a government organisation bound by tightly coupled temporal constraints (TTCs). Second, it
focuses on how to achieve optimal and efficient BPCDs that require tight compliance with regulators’
temporal constraints. Finally, it formulates a rigorous framework that can facilitate the execution of optimal
BPCDs with maximum efficiency and minimal effort, time and cost.
Design/methodology/approach – Decision-making biases by individuals or groups in organisations
can impede optimal BPC implementation; to demonstrate this, a case study is investigated and the formulated
framework is applied to tackle these failings.
Findings – The case study analysis shows 76 per cent of the BPCDs implemented were inefficient,
mostly because of poor decisions, and these resulted in negative ripple effects. In response, the newly
developed hierarchical change management structure (HCMS) framework was used to empower
organisations to execute high-velocity BPCDs, enabling them to handle any temporal constraints
imposed by regulators or other exogenous factors. The HCMS framework was found to be highly
effective, scoring an average improvement of more than 100 per cent when measured using decision
quality dimensions. This paper would be of value for business executives and strategic decision makers
engaging with BPC.
Research limitations/implications – The HCMS framework has been applied in a single case study as
a proof of concept. Future research could extend its application to broader domains that have multi-attribute
structures and environments. The evaluation processes of the proposed framework are based on subjective
metrics. Causal links from the framework to business process metrics will provide a more complete
performance picture.
Practical implications – The outcome of this research assists in formulating a systematic BPCD
framework that is otherwise unavailable. The practical use of the proposed framework would potentially
impact on quality outcomes for organisations. The model is derived from decision trees and analytical
hierarchical processes and is tailored to address this problematic area. The proposed HCMS framework would
help organisations to execute efficient BPCDs with minimal time, effort and cost. The HCMS framework
contributes to the academic literature on BPCD that leverages diverse stakeholders to engage in BPC
initiatives.
Originality/value – The research presents a novel framework –HCMS – that provides a platform for
organisations to easily determine and solve hierarchical decision structure problems, thereby allowing them
to efficiently automate and institutionalise optimal BPCDs. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Emerald Publishing | |
dc.publisher.place | United Kingdom | |
dc.relation.ispartofpagefrom | 207 | |
dc.relation.ispartofpageto | 240 | |
dc.relation.ispartofissue | 2 | |
dc.relation.ispartofjournal | Journal of Systems and Information Technology | |
dc.relation.ispartofvolume | 20 | |
dc.subject.fieldofresearch | Information Systems Management | |
dc.subject.fieldofresearch | Computation Theory and Mathematics not elsewhere classified | |
dc.subject.fieldofresearch | Decision Support and Group Support Systems | |
dc.subject.fieldofresearch | Information Systems | |
dc.subject.fieldofresearch | Business and Management | |
dc.subject.fieldofresearch | Cognitive Sciences | |
dc.subject.fieldofresearchcode | 080609 | |
dc.subject.fieldofresearchcode | 080299 | |
dc.subject.fieldofresearchcode | 080605 | |
dc.subject.fieldofresearchcode | 0806 | |
dc.subject.fieldofresearchcode | 1503 | |
dc.subject.fieldofresearchcode | 1702 | |
dc.title | Formulating optimal business process change decisions using a computational hierarchical change management structure framework: A case study | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
dc.description.version | Accepted Manuscript (AM) | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.rights.copyright | © 2018 Emerald. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Alrabiah, Abdul A. | |