University of Hawaiʻi at Mānoa

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    67471 research outputs found

    The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism

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    As AI becomes more capable, it is unclear how human creativity will remain essential in jobs that incorporate AI. We conducted a 14-week study of a student newsroom using an AI tool to convert web articles into social media videos. Most creators treated the tool as a creative springboard, not as a completion mechanism. They edited the AI outputs. The tool enabled the team to publish successful content that received over 500,000 views. Human creativity remained essential: after AI produced templated outputs, creators took ownership of the task, injecting their own creativity, especially when AI failed to create appropriate content. AI was initially seen as an authority, due to creators’ lack of experience, but they ultimately learned to assert their own authority

    Value Co-Destruction on Individual Experiencing Vulnerabilities: Scale Development and Validation on Mothers’ Online Discussion Forums

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    Mothers of young children often seek support and guidance through online parenting forums. While these platforms aim to facilitate collaborative value creation through shared experiences, they are also vulnerable to value co-destruction (VCD), where interactions undermine the intended support. This study aims to develop VCD scale on individual experiencing vulnerabilities, using the case of mothers’ of young children in the mothers’ online forums. Extending the value co-destruction literature, this research identifies two novel dimensions specific to online support group value co-destruction: VCD from peer-interaction and VCD from institutional arrangement. The measures are validated using data collected from 331 mother members of online parenting forum

    Artificial Intelligence and Product Manager 2.0

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    The product manager (PM) role is going through a dramatic change as companies begin deploying artificial intelligence (AI) tools. This paper examines the impact of AI tools on product management, highlighting the challenge for both experienced and novice PM’s to apply these tools. We identify the PM 1.0, or pre-AI, roles and responsibilities. Next, we offer an example of PM tasks in the PM 1.0 versus the 2.0 era. Then we discuss the new PM 2.0 roles and responsibilities using AI tools. Then we reflect on the challenges for experienced and novice PM’s under each scenario. We conclude with points of consideration for organizations seeking to deploy AI tools for both experienced and inexperienced PMs

    Understanding the Evolution of Serverless Computing: A Computational Literature Review

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    Serverless computing has enabled developers to execute the application logic without managing the underlying infrastructure. This abstraction offers automatic scaling, reduced operational costs, and rapid deployment. These benefits motivated researchers to explore its different characteristics and use cases in various domains such as machine learning and video processing. Thus, research in this area has expanded significantly in recent years. However, there remains a limited understanding of the topics currently being investigated and the directions future research should pursue. To this end, we conducted a Computational Literature Review (CLR) to examine the current research landscape of serverless computing. We applied topic modeling to identify key areas of focus and emerging themes within the literature. Our analysis revealed 40 distinct topics, which we mapped into 10 overarching themes. Finally, we discussed these themes and provided future research directions across each theme. The findings of this study help researchers understand the current landscape of serverless computing and highlight opportunities for future investigatio

    When Information Systems Fail: Financial Consequences of the Global CrowdStrike IT Crash for Users and Software Providers

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    The accelerating digitalization of industries has increased systemic exposure to IT disruptions. This study analyzes the financial effects of the CrowdStrike software outage, which caused widespread operational failures, particularly in the aviation industry. Using an event study approach, we examine abnormal returns for affected firms and the software provider, indicating who has to carry the financial consequences. The results show significant short-term losses for aviation firms and a persistent decline of over 18 percent in the provider's market value. Despite no malicious intent, markets reassigned responsibility toward the software provider. These findings suggest a shift in investor expectations regarding digital resilience. The study introduces the concept of a digital black swan to describe high-impact, non-malicious IT failures. Our findings extend information systems research with corporate risk management for digital infrastructure. As digital technology becomes more system relevant in business models, understanding and managing such risks becomes increasingly vital

    Highlighting AI Competencies: A Qualitative Analysis Approach Using AI Agents

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    The rapid advancement of Artificial Intelligence (AI) is reshaping the job market, creating a demand for new skills and competencies in AI and machine learning (ML). As academic institutions strive to align educational programs with industry needs, a clear understanding of job market expectations becomes essential. This study employs a qualitative, grounded theory approach, enhanced by large language models (LLMs), to analyze job postings related to AI. Using a custom coding framework and AI agent arbitration, we extract and classify the competencies sought by employers into eight major categories. Key findings emphasize the significance of technical skills, including system analysis, architecture, programming languages, and machine learning, as well as soft skills such as collaboration and leadership. The results offer critical insights for curriculum developers and accreditation bodies, providing a scalable, auditable methodology for aligning academic programs with real-world AI job market demands

    Developing The Strategists, an Online, AI-Aware Financial Investment Game for Technology-Enhanced Learning and Research

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    Serious games have been shown to have many positive outcomes across both educational and research settings; however, the design of such games is non-trivial. In this paper, we investigate how to design and engineer a serious gaming platform for a financial investment game called The Strategists. Building on the familiar mechanics of Monopoly, The Strategists is an open-source, web-based multiplayer game that introduces additional features such as property market dynamics and the flexible integration of AI and data-driven interventions. The platform supports robust data logging, easy deployment, and simplified data management, making it an accessible tool for both educators and researchers. We describe the process of designing, developing, and evaluating The Strategists, and discuss how lessons learned during this process can provide value to diverse communities across both education and research, including business and finance, computer science, and social and behavioral science

    Agility Under Fire: Barriers to Off-the-Shelf AI Adaptation

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    This study examines how off-the-shelf AI affects organizational agility in Germany’s Cooperative Financial Network. Drawing on 22 interviews across banks, service providers, and consultants and using a Gioia approach, we surface a dual lock-in: hyperscalers anchor a standardized core while a centralized integrator enforces uniform roadmaps and update cycles. Together with technological rigidity, layered bureaucracy, and data-governance frictions, this limits local sensing, rapid experimentation, and reconfiguration. Our contribution is conceptual: based on qualitative analysis, we integrate these empirically derived concepts into a framework that explains mechanisms and boundary conditions under which standardization constrains agility. We also outline design principles for a hybrid architecture, standardized backbone plus modular extensions, paired with dual governance and data contracts. The paper refines the agility-standardization debate and offers actionable guidance for financial networks seeking scale efficiency and organizational agility

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