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Outputs (26)

Modelling credit and investment decisions based on AI algorithmic behavioral pathways (2023)
Journal Article
Rodgers, W., Hudson, R., & Economou, F. (2023). Modelling credit and investment decisions based on AI algorithmic behavioral pathways. Technological Forecasting and Social Change, 191, Article 122471. https://doi.org/10.1016/j.techfore.2023.122471

This paper provides a new approach to understanding bankers' risk-taking behavior. We build upon prior studies that suggest artificial intelligence algorithms are an effective approach to obtaining this understanding. Our approach uses behavioral fin... Read More about Modelling credit and investment decisions based on AI algorithmic behavioral pathways.

A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes (2023)
Journal Article
Rodgers, W., Cardenas, J. A., Gemoets, L. A., & Sarfi, R. J. (2023). A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes. Technological Forecasting and Social Change, 190, Article 122373. https://doi.org/10.1016/j.techfore.2023.122373

This paper presents an artificial intelligence algorithmic knowledge transfer approach to the models that have been developed throughout the world for smart grid networks. Many nations are moving forward to implement smarter ways to generate, distrib... Read More about A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes.

Online AI algorithmic purchase decision pathways: shopping via mobile application (2022)
Thesis
Nguyen, T. M. T. (2022). Online AI algorithmic purchase decision pathways: shopping via mobile application. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4912628

In recent years, online shopping has become a popular option for buying goods and services. Accordingly, this study was conducted in order to observe consumers’ decision-making behaviour in an online buying environment via phone applications. The stu... Read More about Online AI algorithmic purchase decision pathways: shopping via mobile application.

Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model (2022)
Book
Rodgers, W. (2022). Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model. Bentham Science Publishers. https://doi.org/10.2174/97898150495411220101

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artific... Read More about Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model.

Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways (2022)
Journal Article
Rodgers, W., & Nguyen, T. (2022). Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways. Journal of Business Ethics, https://doi.org/10.1007/s10551-022-05048-7

Artificial intelligence (AI) has dramatically changed the way organizations communicate, understand, and interact with their potential consumers. In the context of this trend, the ethical considerations of advertising when applying AI should be the c... Read More about Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways.

Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making (2021)
Journal Article
Rodgers, W., Degbey, W., Söderbom, A., & Leijon, S. L. (in press). Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making. Journal of business research, https://doi.org/10.1016/j.jbusres.2021.10.053

We focus on how international research and development (R&D) teams of portfolio entrepreneurs and their management controllers can help to innovate and sustain entrepreneurial activities. An algorithmic decision-making model is implemented that indic... Read More about Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making.

The effects of top management team strategic cognition on corporate financial health and value: an interactive multi-dimensional approach (2021)
Journal Article
Attah-Boakye, R., Costanzo, L. A., Guney, Y., & Rodgers, W. (in press). The effects of top management team strategic cognition on corporate financial health and value: an interactive multi-dimensional approach. The European journal of finance, https://doi.org/10.1080/1351847X.2021.1977360

The upper echelons theory posits that the values, personalities, experience and education background of the top management team (TMT) affect both executives’ strategic cognition and corporate outcomes. Since TMT members differ in their cognitive stru... Read More about The effects of top management team strategic cognition on corporate financial health and value: an interactive multi-dimensional approach.

Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior (2021)
Journal Article
Rodgers, W., Yeung, F., Odindo, C., & Degbey, W. Y. (2021). Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior. Journal of business research, 126, 401-414. https://doi.org/10.1016/j.jbusres.2020.12.039

This study examines the digital transformation effects of artificial intelligence (AI)-based facial and music biometrics on customers' cognitive and emotional states and how these effects influence their behavioral responses on value creation. Using... Read More about Artificial intelligence-driven music biometrics influencing customers’ retail buying behavior.

Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations (2020)
Journal Article
Rodgers, W., Attah-Boakye, R., & Adams, K. (2020). Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations. IEEE Transactions on Engineering Management, https://doi.org/10.1109/TEM.2020.3019218

Cybercrime continues to cause increasing threat to business processes, eroding stakeholders’ trust in Internet technologies. In this article, we explore how six dominant algorithmic trust positions facilitate cognitive processing, which, in turn, can... Read More about Application of Algorithmic Cognitive Decision Trust Modeling for Cyber Security Within Organisations.