Artificial Intelligence, Big Data, and Value Co-creation: A Conceptual Model

Abbad, Muneer; Jaber, Faten; AlQeisi, Kholoud; Eletter, Shorouq

doi:10.1007/978-3-030-62796-6_28

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…With the engagement of AI, the created value becomes more diverse. For example, AI provides new forms of interaction (Zhu et al, 2022), enables products to recognize human feelings (Leone et al, 2021), and assists humans' behaviors and decision-making (Abbad et al, 2021). Kliman-Silver et al (2020) further summarized three dimensions of AI-driven UX.…”

Section: Design Research About ML and Uxmentioning

confidence: 99%

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Sun

Zhou

et al. 2023

AIEDAM

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With the increasing utilization of machine learning (ML) to enhance products’ capabilities, the design research community has begun to explore how to support the conceptual design of ML-enhanced products. However, UX value creation of ML-enhanced products is still challenging because of ML's unique characteristics and numerous complex factors in conceptual design. To help designers create UX value for ML-enhanced products, we developed the UX value framework and the CoMLUX design process. The proposed framework describes how ML, stakeholders, and context co-create the UX value of ML-enhanced products, and identifies the growability and opacity of ML, helping designers systematically understand the co-creators while avoiding cognitive overload. The CoMLUX design process provides practical guidance for designing ML-enhanced products with growability and transparency. At last, we demonstrate the usage methods of the framework and process in an actual project and summarize the inspirations and limitations of our work.

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Section: Design Research About ML and Uxmentioning

confidence: 99%

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Sun

Zhou

et al. 2023

AIEDAM

View full text Add to dashboard Cite

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“…In the last few years, organisations have increasingly turned to AI to realise business value through sustained competitive advantage (Krakowski et al, 2023). AI has quickly developed to the point where it can undergo transformations that enable intelligent automation and augmentation and create opportunities for ongoing digital innovation (Grewal et al, 2020, May et al, 2020, Abbad et al, 2021Enholm et al, 2021;Trocin et al, 2021;Akter et al, 2022;Johnson et al, 2022). Nonetheless, organisations continue to struggle with how to adopt and leverage AI technologies and realise performance gains (Mishra and Pani, 2020).…”

Section: Introductionmentioning

confidence: 99%

Creating AI business value through BPM capabilities

Zebec,

Indihar Štemberger

2024

BPMJ

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PurposeAlthough businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.Design/methodology/approachThe integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.FindingsThe results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.Research limitations/implicationsIn pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.Practical implicationsThe provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.Originality/valueWhile previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

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A Review of a Smart Roadside and On-Street Parking System

Tami

Hacene

2022

International Journal of Organizational and Collective Intelligence

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In the face of tremendous demographic change, the number of vehicles on the roads is expanding as well. As a result, obtaining an empty parking space has become difficult, especially in certain areas or at important times. Supporting a solution in this direction allows for the resolution of a number of social, economic, and environmental issues. An efficient parking system is required to address some of these issues because it assists vehicle drivers in finding parking spaces as soon as possible, reducing driving time, better managing fuel consumption or energy provided by vehicles or road traffic, reducing air pollution, assisting specialized parking management services in selecting appropriate parking spaces, avoiding congestion, accidents, and ensuring road safety. This paper will examine a variety of recent studies employing on-street parking as a solution. Additionally, this research analyzes and discusses the advantages and drawbacks of many parking systems and provides opportunities for future research.

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Artificial Intelligence, Big Data, and Value Co-creation: A Conceptual Model

Cited by 3 publications

References 32 publications

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Creating AI business value through BPM capabilities

A Review of a Smart Roadside and On-Street Parking System

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