Group Decision Support and Social Software Techniques for PLM Decision Making

Pasley, Robert C.; MacCarthy, Bart L.

doi:10.3182/20130619-3-ru-3018.00451

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…PLM systems will benefit from improvements that allow decisionmaking to be supported and decisions made to be recorded, audited, and reused. PLM decisionmaking environments could be augmented using social software concepts to enhance collaboration (Ullman 2012;Pasley and MacCarthy 2013;Cardon and Marshall 2015), which raises challenging research questions in PLM contexts on the nature of data generated by such software. Given the multi-disciplinary nature of PLM decision-making, past decisions may need to be identified using equivalent, but not identical terms and contexts to those under which they are recorded.…”

Section: Discussionmentioning

confidence: 99%

Group decision support for product lifecycle management

MacCarthy

Pasley

2020

International Journal of Production Research

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Product Lifecycle Management (PLM) systems support industrial organizations in managing their product portfolios and related data across all phases of the product lifecycle. PLM seeks to enhance an organization's ability to manage its product development activities and facilitate collaboration across organizational functions and between organizations. Effective decision-making is vital for the successful management of products over their lifecycle. However, PLM decision-making is an underresearched area. We argue that decision-making theory and group decision support concepts can be brought to bear to enhance PLM decision-making processes. We present and justify a set of six principles to support decision-making in a PLM context. The paper highlights the need to consider and capture decisions as distinct units of PLM knowledge to support product lifecycle management. We derive a generic information flow and a group decision support structure for PLM decision-making that encapsulates the six principles. Three industrial cases are analyzed to illustrate the application and value of the principles in supporting decision-making. The principles enable PLM decisions to be codified, recorded, and reviewed. Decision-making processes can be reused where appropriate. The principles can support future innovations that may affect PLM, such as ontological and semantic reasoning and Artificial Intelligence.

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Section: Discussionmentioning

confidence: 99%

Group decision support for product lifecycle management

MacCarthy

Pasley

2020

International Journal of Production Research

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“…Clustering of ideas may benefit from wiki-type technologies and implementation from gaming and virtual worlds. While Turban et al (see alsoPasley & MacCarthy, 2013) discuss potential use of social software for group decision making, reports on their actual use in practice are now also available(De Gooyert et al, 2019;Haefliger et al, 2011;Hautz et al, 2019). A few striking conclusions are the following.…”

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confidence: 99%

Technologies for Improving Group Decision making

Rouwette¹,

Franco²

2021

The Emerald Handbook of Group and Team Communication Research

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This chapter focuses on techniques and technologies to aid groups in making decisions, with an emphasis on computer-based support. It is now customary for many office workers to regularly meet colleagues and clients in virtual meetings using videoconferencing platforms, which enable participants to carry out tasks in a manner quite similar to a face-to-face meeting. The development of computer-based platforms to facilitate group tasks can be traced back to the 1960s, and while they support group communication, they do not directly support group decision making. In this chapter we distinguish four technologies developed to provide support to group decisions, clustered into two main traditions. Technologies in the taskoriented tradition are mainly concerned with enabling participants to complete tasks to solve the group's decision problem via computer-supported communications. Group Decision Support Systems and social software technologies comprise the task-oriented tradition.Alternately, in the model-driven tradition, participants use computers to build and use a model that acts as a referent to communicate, mostly verbally, about the group's decision problem. Systems modeling and decision modeling technologies constitute the model-driven tradition.This chapter sketches the history and guiding ideas of both traditions, and describes their associated technologies. Our discussion centers on whether increased availability of online tools will also lead to increased use of group decision support technologies, and the differential impact of communication and decision support.terms technology, technique and tool in specific ways. Technology will refer to a set of techniques and tools plus the guidelines, principles, or assumptions needed to implement and use those. Technique will refer to a set of well-described activities (e.g. Nominal Group Technique). Finally, tool will refer to an artefact (e.g., computer software) that can assist in the deployment of a technique.An influential characterization of levels of group decision-making support is offered by DeSanctis and Gallupe (1987), and may serve to give a first overview of the types of technologies, tecniques and tools available. Level 1 decision support removes communication barriers by offering technical features such as electronic messaging, anonymous gathering, display of ideas on a shared screen, and anonymous clustering and voting. Level 1 tools are similar to videoconferencing in that they facilitate information exhange, but they can also include additional features that directly support decision making, such as anonymous gathering, clustering, and prioritization of ideas. By more fully capturing elements of the discussion, a group memory is created that participants can refer to during and after the meeting. Level 2 decision support adds group decision techniques (e.g., Nominal Group Technique, Delphi). Level 2 tools include decision models to support techniques such as Multi-Criteria Decision Analysis. Level 3 decision support employs machine-induced group co...

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Soft Computing and Decision Support System for Software Process Improvement: A Systematic Literature Review

Xiaolong

Zhao

Zhong

et al. 2021

Scientific Programming

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Software project development is very crucial, and measuring the exact cost and effort of development is becoming tedious and challenging. Organizations are trying to wind up their project of software development within the agreed budget and schedule successfully. Traditional practices are inadequate to achieve the current needs of the software industry. Underestimation and overestimation of software development effort lead to financial implications in the form of resources, cost of staffing, and budget of developing the software project. Soft computing (SC) approaches and tools deliver an addition of techniques for anticipating resistance to the deception, defect, incomplete truth for traceability and ambiguity, low arrangement cost, and strength. A large amount of SC approaches is prevailing in the literature to accomplish way-out to difficulties precisely, practically, and speedily. The approaches of SC can give better prediction, high performance, and dynamic behavior. SC deals with computational intelligence which integrates the concept of agent paradigm and SC. The proposed study presents a systematic literature review (SLR) of the approaches, tools, and techniques of SC used in the literature. The study presented a comprehensive review by searching the defined keywords in the popular libraries, filtered the paper, and obtained most relevant papers. After the selection of the papers, the quality assessment process of the included papers has been done in order to determine the relevancy of the papers. The study will help researchers in the area of research to devise novel ideas and solutions to overcome the existing issue on the basis of this study as evidence of the literature.

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Group Decision Support and Social Software Techniques for PLM Decision Making

Cited by 3 publications

References 12 publications

Group decision support for product lifecycle management

Group decision support for product lifecycle management

Technologies for Improving Group Decision making

Soft Computing and Decision Support System for Software Process Improvement: A Systematic Literature Review

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