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ARTIFICIAL INTELLIGENCE-AUGMENTED DECISION MAKING IN SUPPLY CHAIN MONITORING: AN ACTION DESIGN RESEARCH STUDY

2023 | European Conference On Information Systems | Citations: 0
Authors: Herath Pathirannehelage, Savindu; Jóhannsson, Jóhann; Shrestha, Yash; Krogh, Georg von

Abstract: Organizations are progressively adopting hybrid human-artificial intelligence ( ... Expand

Abstract: Organizations are progressively adopting hybrid human-artificial intelligence (AI) systems in decisionmaking processes, with human decisions being augmented by AI insights. Among the promising AI applications in supply chain monitoring (SCMo) are predictive maintenance systems that predict potential device failures and augment maintenance decisions, allowing for timely and efficient interventions. Despite the growing proliferation of such systems, prescriptive knowledge encompassing technical, business, and organizational aspects on how to design, develop, and deploy them in actual operational environments remains limited. To address this shortcoming of evidence-based design principles in practice, our action design research developed a predictive maintenance system that predicts SCMo device failures and augments the maintenance decisions about those devices. By doing so, we outline generalizable design principles to guide prospective predictive maintenance systems in SCMo. Collapse

Semantic filters: systems evaluation unintended consequence

Topics: artificial intelligence predictive maintenance organizational context decision making systems evaluation

Methods: machine learning design principle design artifact artificial neural network random forest classification

Theories: evidence-based design
The use of domination and legitimation in information systems implementation
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2009 | Information Systems Journal | Citations: 11
Authors: Hussain, Zahid I.; Cornelius, Nelarine

Abstract: In this paper, we present the results of a longitudinal case study on informatio ... Expand

Abstract: In this paper, we present the results of a longitudinal case study on information systems (IS) implementation conducted in a community healthcare organization. Using structuration theory as a sensitizing framework, we highlight how the information technology (IT) Management improved their influence through gaining legitimation from other organizational stakeholders, and how the nature of this evolved over time. Our results highlight how an appropriate, sophisticated use of what Giddens refers to as the duality of structure contributed to the consolidation of the IT Manager's credibility and authority. We also report on how the IT Management had most of their actions legitimated as an integral element of their actions. The results also highlight the distributed nature of power, such that even those at the lower end of organizational hierarchy were able to influence the success or failure of IS implementation. Collapse

Semantic filters: systems evaluation unintended consequence

Topics: systems implementation IS management intranet IT workforce IT manager

Methods: qualitative interview survey longitudinal research longitudinal case study personal interview

Theories: structuration theory

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ARTIFICIAL INTELLIGENCE-AUGMENTED DECISION MAKING IN SUPPLY CHAIN MONITORING: AN ACTION DESIGN RESEARCH STUDY

The use of domination and legitimation in information systems implementation