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

被引：20

作者：

Feris, Marco Antonio Amaral ^{[1
]}

Zwikael, Ofer ^{[2
]}

Gregor, Shirley ^{[2
]}

机构：

[1] Cranfield Univ, Cranfield Sch Management, Cranfield, Beds, England

[2] Australian Natl Univ, Res Sch Management, Canberra, ACT, Australia

来源：

DECISION SUPPORT SYSTEMS | 2017年 / 96卷

关键词：

Decision support tool; Dual process theory; Planning quality; Software projects; Planning-performance theory; CRITICAL SUCCESS FACTORS; INFORMATION-SYSTEMS RESEARCH; DESIGN SCIENCE RESEARCH; FUZZY COGNITIVE MAPS; RISK-MANAGEMENT; PERFORMANCE; IMPACT; MODEL; VIEW; TOOL;

D O I：

10.1016/j.dss.2017.02.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Decisions about whether or not to approve a project plan for execution are critical. A decision to continue with a bad plan may lead to a failed project, whereas requesting unnecessary additional planning for an already high-quality plan may be counterproductive. However, these decisions can be influenced by psychological biases, such as the endowment effect, optimism bias and ambiguity effect, which are enhanced when uncertainty is substantial and information incomplete. As a result, a non-biased model for evaluating the quality of project planning is important to improve planning approval decisions and resource allocation. This paper introduces a novel artifact (QPLAN) that evaluates and improves planning quality, and a case study to demonstrate its effectiveness within a business environment. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：92 / 102

页数：11

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