QPLAN: Decision support for evaluating planning quality in software development projects

Féris, Marco Antônio Amaral; Zwikael, Ofer; Gregor, Shirley

doi:10.1016/j.dss.2017.02.008

Cited by 22 publications

(5 citation statements)

References 63 publications

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“…strategy/style/commitment) is appeared as the critical one amongst the others found. It is almost well recognized that top management support is critical for information technology/ information system (IT/IS) projects to be successful (Johnson, 1995; Féris et al , 2017). As a result, this also applies when organizations go for ERP implementations.…”

Section: Resultsmentioning

confidence: 99%

ERP issues and challenges: a research synthesis

Mahmood

Khan

Bokhari

2019

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Purpose Despite more than two decades of experience regarding the adoption and implementation of enterprise resource planning (ERP) systems in organizations, ERPs success is questionable. Though ERPs success stories are published in past research studies, the failure rate of ERP systems is relatively high. The purpose of this study was to find issues and challenges and assess the degree of criticality of these issues/challenges faced by organizations during ERP implementation. Design/methodology/approach For doing systematic review/research synthesis systematic literature review (SLR) was carried out considering research studies published within the time period, i.e. 1999-2018. Three major steps such as planning, conducting and reporting were followed to proceed further in this study. This study attempted to accomplish a critical review of 53 studies out of 103 studies identified, which were published in reputable journals to synthesize the existing literature in the ERP domain. The studies selected have almost addressed different challenges/issues faced by small and large organizations during ERP implementation. Findings Research synthesis/SLR led to the identification of 31 issues/challenges, which may be termed as most critical based on their occurrence/frequency in past studies included. The topmost ten issues/challenges amongst 31 identified include top management approach, change management, training and development, effective communication, system integration, business process reengineering, consultants/vendors selection, project management, project team formation, team empowerment/skilled people and data conversing/migration. However, other issues/challenges identified such as security risks/data security, cloud awareness, functionality limitations, service level agreements and subscription expenses are more related to cloud ERPs. Originality/value The current study is unique in its kind, focusing on the issues and challenges faced by organization during implementing ERP projects. Moreover, this study contributes to understanding and further analyzing management capabilities for developing remedial measures while planning the implementation of an enterprise system in their organizations prior to the occurrence of different issues and challenges ahead. The study also led to understanding and explaining socio-technical issues and their severity.

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Section: Resultsmentioning

confidence: 99%

ERP issues and challenges: a research synthesis

Mahmood

Khan

Bokhari

2019

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“…Planning. We measured planning on a five-point Likert scale using a planning evaluation construct (Zwikael and Globerson, 2004) that has been commonly utilized in the project planning literature (e.g., Chin & Pulatov, 2007;Masters & Frazier, 2007;Zwikael & Sadeh, 2007;Papke-Shields, Beise, & Quan, 2010;Rees-Caldwell & Pinnington, 2013;Zwikael et al, 2014;Feris et al, 2017). This scale evaluates the quality of planning by asking participants to report on the extent to which 16 artifacts from planning processes (see left column of Table 4) were generated during their projects.…”

Section: Methodsmentioning

confidence: 99%

When Doesn'T Formal Planning Enhance the Performance of Government Projects?

Zwikael

2020

Public Administration Quarterly

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The public service faces an increased number of complex projects. Literature argues that adapting an effective planning strategy is important to enhance their performance. In particular, organizations need to enhance project planning as risk levels rise. This theory has received support in the private sector where firms are adaptable in their planning practices, for example invest more resources in planning when facing projects with higher levels of risk. However, lack of adaptability together with poor risk management raise questions regarding the effectiveness of this theory in the public sector. A study of 992 projects confirmed that managers in the public sector do not adapt their planning efforts to the risk levels they face. Results further suggest that managers in the public sector should follow formal planning procedures in high-risk projects, but keep to a flexible planning strategy (e.g., Agile) in low-risk situations. We suggest that government departments use a planning strategy that is appropriate to the risk levels of their projects.

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“…It has been argued that by introducing decision support tools, organizations can encourage reasoned thinking, reduce bias and improve decision quality [44]. Therefore, in this paper, we design a DSS to allow program managers to select patients who will participate in different behavioural interventions.…”

Section: The Proposed Solutionmentioning

confidence: 99%

Improving healthcare access management by predicting patient no-show behaviour

Barrera

Brailsford

Bravo

et al. 2020

Decision Support Systems

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Low attendance levels in medical appointments have been associated with poor health outcomes and efficiency problems for service providers. To address this problem, healthcare managers could aim at improving attendance levels or minimizing the operational impact of no-shows by adapting resource allocation policies. However, given the uncertainty of patient behaviour, generating relevant information regarding no-show probabilities could support the decision-making process for both approaches. In this context many researchers have used multiple regression models to identify patient and appointment characteristics than can be used as good predictors for no-show probabilities. This work develops a Decision Support System (DSS) to support the implementation of strategies to encourage attendance, for a preventive care program targeted at underserved communities in Bogotá, Colombia. Our contribution to literature is threefold. Firstly, we assess the effectiveness of different machine learning approaches to improve the accuracy of regression models. In particular, Random Forest and Neural Networks are used to model the problem accounting for non-linearity and variable interactions. Secondly, we propose a novel use of Layer-wise Relevance Propagation in order to improve the explainability of neural network predictions and obtain insights from the modelling step. Thirdly, we identify variables explaining no-show probabilities in a developing context and study its policy implications and potential for improving healthcare access. In addition to quantifying relationships reported in previous studies, we find that income and neighbourhood crime statistics affect no-show probabilities. Our results will support patient prioritization in a pilot behavioural intervention and will inform appointment planning decisions.

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QPLAN: Decision support for evaluating planning quality in software development projects

Cited by 22 publications

References 63 publications

ERP issues and challenges: a research synthesis

ERP issues and challenges: a research synthesis

When Doesn'T Formal Planning Enhance the Performance of Government Projects?

Improving healthcare access management by predicting patient no-show behaviour

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