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2022

Artificial intelligence

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Articles 1 - 12 of 12

Full-Text Articles in Business

Managing Artificial Intelligence Projects: Key Insights From An Ai Consulting Firm, Gregory Vial, Ann-Frances Cameron, Tanya Giannelia, Jinglu Jiang Dec 2022

Managing Artificial Intelligence Projects: Key Insights From An Ai Consulting Firm, Gregory Vial, Ann-Frances Cameron, Tanya Giannelia, Jinglu Jiang

Management and Accounting Faculty Scholarship

While organisations are increasingly interested in artificial intelligence (AI), many AI projects encounter significant issues or even fail. To gain a deeper understanding of the issues that arise during these projects and the practices that contribute to addressing them, we study the case of Consult, a North American AI consulting firm that helps organisations leverage the power of AI by providing custom solutions. The management of AI projects at Consult is a multi-method approach that draws on elements from traditional project management, agile practices, and AI workflow practices. While the combination of these elements enables Consult to be effective in …


Multi-Functional Job Roles To Support Operations In A Multi-Faceted Jewel Enabled By Ai And Digital Transformation, Steven M. Miller Oct 2022

Multi-Functional Job Roles To Support Operations In A Multi-Faceted Jewel Enabled By Ai And Digital Transformation, Steven M. Miller

Research Collection School Of Computing and Information Systems

In this story, we highlight the way in which the use of AI enabled support systems, together with work process digital transformation and innovative approaches to job redesign, have combined to dramatically change the nature of the work of the front-line service staff who protect and support the facility and visitors at the world’s most iconic airport mall and lifestyle destination.


What Machines Can't Do (Yet) In Real Work Settings, Thomas H. Davenport, Steven M. Miller Oct 2022

What Machines Can't Do (Yet) In Real Work Settings, Thomas H. Davenport, Steven M. Miller

Research Collection School Of Computing and Information Systems

AI systems may perform well in the research lab or under highly controlled application settings, but they still needed human help in the types of real world work settings we researched for a new book, Working With AI: Real Stories of Human-Machine Collaboration. Human workers were very much in evidence across our 30 case studies. In this article, we use those examples to illustrate our list of AI-enabled activities that still require human assistance. These are activities where organizations need to continue to invest in human capital, and where practitioners can expect job continuity for the immediate future


Artificial Intelligence And Human Employment, Singapore Management University Sep 2022

Artificial Intelligence And Human Employment, Singapore Management University

Perspectives@SMU

AI will replace humans in repetitive tasks. Greater value can be created when it augments and complements the jobs people do


The Future Of Destination Marketing Organizations In The Insight Era, Arthur Huang, Efren De La Mora Velasco, Adam Haney, Sergio Alvarez Sep 2022

The Future Of Destination Marketing Organizations In The Insight Era, Arthur Huang, Efren De La Mora Velasco, Adam Haney, Sergio Alvarez

Faculty Scholarship and Creative Works

There has been a growing interest in examining the implementation of insight-era technologies (e.g., AI, social media) and big data for sustainable tourism development. However, actionable guidelines to promote a holistic adaptation and the effective functioning of destination marketing/management organizations (DMOs) in the increasingly data-infused world are still needed. This perspective paper posits a research-based framework that DMOs can use to become more responsive and efficient in their marketing and planning efforts in the current AI-infused world. Four propositions are presented to support DMOs' transition to the insight-era: (a) DMOs' organizational adaptations and workforce development and training, (b) active engagement …


Singapore Public Sector Ai Applications Emphasizing Public Engagement: Six Examples, Steven M. Miller Sep 2022

Singapore Public Sector Ai Applications Emphasizing Public Engagement: Six Examples, Steven M. Miller

Research Collection School Of Computing and Information Systems

This article provides an overview of six examples of public sector AI applications in Singapore that illustrate different ways of enhancing engagement with the public. These applications demonstrate ways of enhancing engagement with the public by providing greater accessibility to government services (access anywhere, anytime) and speedier responses to public processes and feedback. Some applications make it substantially easier for members of the public to do things or make choices, while others reduce waiting time, either across an entire public infrastructure, or for an individual transaction. Some provide highly individualized coaching to guide a person through the process of doing …


Ethical Perceptions Of Ai In Hiring And Organizational Trust: The Role Of Performance Expectancy And Social Influence, Maria Figueroa-Armijos, Brent B. Clark, Serge P. Da Motta Veiga Jul 2022

Ethical Perceptions Of Ai In Hiring And Organizational Trust: The Role Of Performance Expectancy And Social Influence, Maria Figueroa-Armijos, Brent B. Clark, Serge P. Da Motta Veiga

Marketing & Entrepreneurship Faculty Publications

The use of artificial intelligence (AI) in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to better understand whether and how AI matters in hiring. In this paper, we examine whether ethical perceptions of using AI in the hiring process influence individuals’ trust in the organizations that use it. Building on the organizational trust model and the unified theory of acceptance and use of technology, we explore whether ethical perceptions are shaped by individual differences in performance expectancy and social influence and how they, in turn, impact organizational trust. We collected primary …


Entering Dystopia: Should Your Face Be The Key To Your Fate?, Shilpa Madan, Krishna Savani, Gita V. Johar Jul 2022

Entering Dystopia: Should Your Face Be The Key To Your Fate?, Shilpa Madan, Krishna Savani, Gita V. Johar

Research Collection Lee Kong Chian School Of Business

How would you feel if you were rejected from a job because you didn't look competent enough? Or if you were apprehended at a public place by the police because you looked like a criminal? Although these scenes sound dystopic and generate a sense of fear and anxiety, technology that claims that people's traits can be inferred from their faces already exists and is being used by businesses and governments worldwide.


Exploring “Smart And Green” Concepts: A New Synergy For Irish Hospitality, Yi Sheng Tan, Angela Wright Mar 2022

Exploring “Smart And Green” Concepts: A New Synergy For Irish Hospitality, Yi Sheng Tan, Angela Wright

Dept. of Organisation & Professional Development Publications

The spotlight on “smart and green” has never been so bright and, within the hotel sector, emphasis on opportunities such as sustainability and digitisation are quickly shaping the agenda. This paper explores key components of the “smart and green” agenda among Irish hotels in the Republic of Ireland and how these concepts relate to their public customer image. While the multifaceted hybrid model of “smart and green” hotels is rapidly emerging as the new theme in the sustainable tourism industry, previous literature failed to address the issue in relation to a lack of uptake from Irish hoteliers. A post-positivistic paradigm …


Machine Infelicity In A Poignant Visitor Setting: Comparing Human And Ai’S Ability To Analyze Discourse, Martin Maccarthy, Hairong Shan Jan 2022

Machine Infelicity In A Poignant Visitor Setting: Comparing Human And Ai’S Ability To Analyze Discourse, Martin Maccarthy, Hairong Shan

Research outputs 2014 to 2021

This study compares the efficacy of computer and human analytics in a commemorative setting. Both deductive and inductive reasoning are compared using the same data across both methods. The data comprises 2490 non-repeated, non-dialogical social media comments from the popular touristic site Tripadvisor. Included in the analysis is participant observation at two Anzac commemorative sites, one in Western Australia and one in Northern France. The data is then processed using both Leximancer V4.51 and Dialectic Thematic Analysis. The findings demonstrate artificial intelligence (AI) was incapable of insight beyond metric-driven content analysis. While fully deduced by human analysis the metamodel was …


Artificial Empathy In Marketing Interactions: Bridging The Human-Ai Gap In Affective And Social Customer Experience, Yuping Liu-Thompkins, Shintaro Okazaki, Hairong Li Jan 2022

Artificial Empathy In Marketing Interactions: Bridging The Human-Ai Gap In Affective And Social Customer Experience, Yuping Liu-Thompkins, Shintaro Okazaki, Hairong Li

Marketing Faculty Publications

Artificial intelligence (AI) continues to transform firm-customer interactions. However, current AI marketing agents are often perceived as cold and uncaring and can be poor substitutes for human-based interactions. Addressing this issue, this article argues that artificial empathy needs to become an important design consideration in the next generation of AI marketing applications. Drawing from research in diverse disciplines, we develop a systematic framework for integrating artificial empathy into AI-enabled marketing interactions. We elaborate on the key components of artificial empathy and how each component can be implemented in AI marketing agents. We further explicate and test how artificial empathy generates …


Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh Jan 2022

Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh

Information Technology & Decision Sciences Faculty Publications

Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find …