Socialising the decision-making process: transaction provenance decision support

Humphreys, Patrick

doi:10.1080/12460125.2020.1868653

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…A rhizome can break at any point and still keep growing (Deleuze & Guattari, 1979). In IS, a rhizome has been used sporadically as a metaphor for diverse concepts, including networks (Atkinson & Brooks, 2005;Gachet & Brézillon, 2005), decision processes (Humphreys, 2021;Nolas, 2008), assemblage (Leclercq-Vandelannoitte et al, 2014;Sesay et al, 2016), discourse (Iivari et al, 2017), and transformation (Márton, 2021). We use the rhizome metaphor to describe the interplay of different research approaches on digital platforms as a complex phenomenon that is subject to lexical fragmentation and lacking distinguishable hierarchies.…”

Section: Responsible Editor: Yun Wanmentioning

confidence: 99%

Systematizing the lexicon of platforms in information systems: a data-driven study

et al. 2022

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While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.

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Section: Responsible Editor: Yun Wanmentioning

confidence: 99%

Systematizing the lexicon of platforms in information systems: a data-driven study

et al. 2022

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Decision support for social innovation enabling sustainable development

Humphreys

Imas

2022

Journal of Decision Systems

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Investing in Artificial Intelligence (AI) for Business Leaders to Enhance Decision-Making

Sedky

2024

Advances in Logistics, Operations, and Management Science

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Decision-making is a high-risk process for businesses' life cycle worldwide. Wrong decisions by business leaders may lead to business closure in critical situations for all firms, including small and medium-sized enterprises. Leaders invest in artificial intelligence to improve their decision-making capabilities and contribute to their businesses' sustainability. Grounded in Herbert Simon's decision-making theory, the purpose of this chapter's multiple case study was to explore why artificial intelligence may enhance business leaders' decision-making. Three business leaders from different organizations in the United States and UAE's real estate properties industry participated in this research. Data were collected through semi-structured interviews and from a review of previous literature. A key recommendation for firms is to invest in artificial intelligence. Artificial intelligence may allow business leaders to improve decision-making, reduce the potential risk of closure, extend business opportunities, and positively contribute to communities' stability and growth.

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Socialising the decision-making process: transaction provenance decision support

Cited by 3 publications

References 26 publications

Systematizing the lexicon of platforms in information systems: a data-driven study

Systematizing the lexicon of platforms in information systems: a data-driven study

Decision support for social innovation enabling sustainable development

Investing in Artificial Intelligence (AI) for Business Leaders to Enhance Decision-Making

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