Technology and Innovation Commons^™

Pedagogy In The Age Of Ai: Exploring Generative Ai For Higher Education, Alison Munsch Phd

Journal of International Technology and Information Management

Generative Artificial Intelligence (AI) presents transformative opportunities for higher education, enabling personalized learning, enhanced student engagement, and efficient pedagogical practices. This tutorial-style article guides educators in integrating generative AI into their classrooms through hands-on activities, practical strategies, and reflective exercises. It explores the capabilities of AI tools such as ChatGPT, their applications across disciplines, and the ethical considerations for their use. By cultivating critical thinking and fostering student readiness for AI-driven futures, this article underscores the transformative potential of generative AI in higher education with an emphasis on the academic areas of business analytics, information systems, and computer science.

Surviving And Thriving In The Hybrid Cloud: A Review Of The Current Cloud Computing Landscape, Peter Munsch, Alison Munsch

Journal of International Technology and Information Management

Background and Purpose

Both academic and industry institutions have increasingly migrated essential services to public cloud providers (e.g., Microsoft, AWS, Google) with mixed outcomes. Some industry leaders attempted to fully replace their on-premises data centers with public cloud services, a move not advised without thorough performance and cost analyses (Potel, 2023). Despite some organizations pulling back from the “Cloud First” strategy, the public cloud services market continued to grow, with revenue increasing by approximately 20% year-over-year since 2020 and surpassing half a trillion dollars in 2022 (IDC Worldwide Semiannual Public Cloud Services Tracker, 2H 2022). Cloud technologists suggested that hybrid …

Predicting Global Healthcare Supply Chain Delays: A Machine Learning Approach Leveraging Country-Level Logistics Metrics, Jeevan Sai Gali, Nima Molavi, Sepideh Alavi

Journal of International Technology and Information Management

In global healthcare logistics, ensuring the timely delivery of medical commodities is critical, particularly in low- and middle-income countries characterized by infrastructural limitations and operational uncertainties. This research introduces an advanced, data-driven predictive framework designed to forecast delivery delays by synthesizing granular, internal shipment-level data from the USAID Global Health Supply Chain Program (GHSC-PSM) with external country-level logistics capabilities indicators derived from the World Bank’s Logistics Performance Index (LPI). Rather than relying on retrospective trend analyses, this study employs machine learning algorithms such as Random Forest, XGBoost, Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP) to detect …

Older People's Consumption Decisions On Technological Products From A Time Perspective, Xiaowei Huang

Dissertations and Theses Collection (Open Access)

The Silver Wave and the Technological Wave are leading social changes in the 21st century. Globally, aging populations have become increasingly dependent on technology. Smart health devices, smart home gadgets, and mental health tools can improve older adults' quality of life, enhance health management, and promote social interaction. Smart products, incorporating artificial intelligence (AI), offer enhanced support for older adults, ranging from remote health monitoring to social companionship. The improvement in AI technology, in turn, expands the potential of technological products to address older consumers’ physical and emotional needs. However, most existing studies don't address deeper personality traits such as …

A Comprehensive Academic And Industrial Survey Of Blockchain Technology For The Energy Sector Using Fuzzy Einstein Decision-Making, Umit Cali, Annabelle Lee, Barry Hayes, Claudio Lima, D. Jonathan Sebastian-Cardenas, David Flynn, Emre Kantar, Farrokh Rahimi, Kaung Si Thu, Marco Pasetti, Marthe Fogstad Dynge, Merlinda Andoni, Muhammet Deveci, Murat Kuzlu, Raquel Alanso, Kim-Kwang Raymond Choo, Sambeet Mishra, Shammya Shananda Saha, Sonam Norbu, Srinikhil Gourisetti, Ugur Halden, Vahid Hosseinezhad, Valentin Robu

Engineering Technology Faculty Publications

The global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger Technology (DLT) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. This study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in …

Exploring Vr User Experiences, Sarah Ferguson, Demetrice Smith-Mutegi, Brett Cook-Snell

Teaching & Learning Faculty Publications

Virtual reality (VR) has unique potential for simulating environments and situations beyond real-life experiences. This study investigates the limitations of VR equipment design for learning spaces, specifically online environments. Presented are the findings of an exploratory study that examined the immersion, ease of use, and physiological and emotional experiences of seven university students participating in a 30–60 min VR session. Given the small sample size, the findings were analyzed with descriptive statistics and qualitatively. The results revealed that participants recognized the potential of VR as a teaching and learning tool, while also identifying certain limitations associated with health and safety. …

How Deep-Level And Surface-Level Board Diversity, Formal And Informal Social Structures Affect Innovation, Guoli Chen, Po-Hsuan Hsu, Yen Teik Lee, Daniel Z. Mack

Research Collection Lee Kong Chian School Of Business

Despite a growing interest in understanding how board diversity shapes firms’ innovation, findings about the impact of board diversity have remained mixed. In this paper, we conceptualize board diversity as two forms – deep-level and surface-level – and find that these two forms of board diversity have opposing effects on a firm's innovation. We also theorize how formal and informal social structures can strengthen the positive effect of deep-level diversity yet simultaneously weaken the negative impact of surface-level diversity. We test our hypotheses with a panel of 42,432 firm-year observations from 2000 to 2019. Our paper contributes to the literature …

Modeling Healthcare Managerial And It Sophistication, Gary Hackbarth, Teuta Cata

Journal of International Technology and Information Management

Sophisticated healthcare managers understand that managing information and selecting technology are two related but separate skill sets. Information Technology Governance (ITG) allows healthcare organizations to deal with complex issues, compete effectively, and support patient needs by integrating managerial and IT sophistication to improve business performance. An organizational model that merges IT and managerial sophistication by improving ITG to forecast business outcomes must grasp the intricacies of technology to acquire, manage, and utilize information technology in alignment with business strategies. The proposed model differentiates between internal and external IT management strategic thinking, emphasizing the critical need to govern IT effectively by …

Adapting To Win: Churchill Downs Inc. And The New Era Of Entertainment And Betting., Mahesh Gupta, William Ferko, Thomas E. Lambert

Faculty and Staff Scholarship

This paper provides a comprehensive analysis of Churchill Downs Inc. (CDInc), a cornerstone of the Thoroughbred racing industry and the distinguished host of the Kentucky Derby. Situated at a critical juncture in the rapidly evolving spheres of gambling and entertainment, CDInc faces unique challenges and opportunities to maintain its preeminence and adapt to new market demands. Utilizing the Service Triangle framework, this study offers a deep dive into CDInc’s strategic operations, service delivery, and competitive positioning. The framework helps illuminate how shifts in consumer behavior, technological innovations, and regulatory changes are reshaping the industry. Despite facing challenges such as declining …

Transformative Impact Of Ai And Digital Technologies On The Fintech Industry: A Comprehensive Review, Soudeh Pazouki, Behdad Jamshidi, Armia Jalali, Arya Tafreshi

Finance Faculty Publications

This paper examines the impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry and demonstrates how AI- enabled strategies are increasing the ability of businesses not only to grow, but also to better serve their customers through operational efficiencies. But as immersive as the technological advancements may be, they present challenges in connection with increasingly complicated licensing regulations and a constantly evolving technological landscape. We examine the way AI and algorithms are streamlining workflows, enhancing productivity and expanding access to financial resources for traditionally under – served populations. The paper also discusses the macroeconomic implications …

การบริหารจัดการงานบำรุงรักษาอัจฉริยะสำหรับโรงงานอุตสาหกรรมระบบอัตโนมัติโดยใช้กระบวนการการค้นหาในปริภูมิสถานะ (กรณีศึกษา โรงงานผลิตสายไฟ), ณัฐวรรณ ทองแต้ม

Chulalongkorn University Theses and Dissertations (Chula ETD)

การศึกษานี้มีวัตถุประสงค์เพื่อพัฒนาต้นแบบระบบการบริหารจัดการงานบำรุงรักษาอัจฉริยะ (Intelligent Maintenance System:IMS) สำหรับโรงงานอุตสาหกรรมระบบอัตโนมัติ โดยประยุกต์กระบวนการค้นหาในปริภูมิสถานะ (State Space Search) เพื่อเพิ่มประสิทธิภาพการวางแผนบำรุงรักษา งานวิจัยใช้กรณีศึกษาจากโรงงานผลิตสายไฟฟ้าในประเทศไทย ซึ่งมีเครื่องจักรอัตโนมัติมากกว่า 20 เครื่องและอะไหล่มากกว่า 3,000 รายการต่อเครื่องจักร ระเบียบวิธีวิจัยใช้แนวทางแบบผสมผสาน (Mixed-method) ด้วยการสัมภาษณ์เชิงลึกและการสำรวจเชิงปริมาณเพื่อศึกษาปัจจัยที่มีผลต่อการยอมรับระบบการบริหารจัดการงานบำรุงรักษาอัจฉริยะตามกรอบแนวคิดแบบจำลองการยอมรับเทคโนโลยี (Technology Acceptance Model: TAM) และการประเมินความเป็นไปได้ทางธุรกิจด้วยกรอบ (Business Model Canvas:BMC) พร้อมทั้งพัฒนาโปรแกรมต้นแบบด้วยภาษา Python เพื่อจำลองการวางแผนการบำรุงรักษาอัจฉริยะด้วยการทดสอบทั้งอัลกอริทึมการค้นหาแบบไม่รู้ข้อมูล (Uninformed Search) และแบบรู้ข้อมูล (Informed Search) เพื่อเปรียบเทียบประสิทธิภาพในการค้นหา ผลการวิจัยพบว่าการประยุกต์ใช้การค้นหาในปริภูมิสถานะสามารถระบุช่วงเวลาบำรุงรักษาที่เหมาะสม โดยพิจารณาจากต้นทุนการบำรุงรักษา อายุคงเหลือของอะไหล่ และค่าความเสี่ยง อีกทั้งระบบยังสามารถจำลองสถานการณ์บำรุงรักษาในเดือนที่กำหนด งบประมาณต่อเดือน ปรับเปลียนอายุการใช้งานคงเหลือของอะไหล่ รวมถึงจำลองการชำรุดของอะไหล่เพื่อให้การวางแผนบำรุงรักษามีประสิทธิภาพสูงกว่าวิธีการบำรุงรักษาตามรอบแบบเดิม ข้อเสนอจากการวิจัยชี้ให้เห็นถึงศักยภาพในการพัฒนาระบบการบริหารจัดการงานบำรุงรักษาอัจฉริยะเพื่อใช้งานเชิงพาณิชย์ และต่อยอดสู่กลุ่มอุตสาหกรรมอื่น ตลอดจนการพัฒนาอัลกอริทึมขั้นสูงเพิ่มเติมเพื่อเพิ่มความฉลาดของระบบให้สอดคล้องกับการเปลี่ยนแปลงของเทคโนโลยีและอุตสาหกรรมในอนาคต

A Bounded Custom Gpt Structures Operational Knowledge For Small-Industry Decision Support, Ikhwan Arief, Alizar Hasan, Nilda Tri Putri, Hafiz Rahmann

Knowledge Engineering and Data Science

Small manufacturing and craft-based firms increasingly use Generative Artificial Intelligence (GenAI) through public chat interfaces, low-cost tools, and informal experimentation. However, these firms often make operational decisions with incomplete records, tacit owner knowledge, fragmented spreadsheets, and limited managerial capacity. Under such conditions, open-ended chatbots may generate fluent but unsafe recommendations by overlooking missing information, contradictory evidence, feasibility constraints, and implementation constraints. This study presents Asisten Cerdas Industri Kecil as a bounded Custom GPT artifact for operational diagnosis, priority selection, and short-horizon action planning in small industries. Using a Design Science Research approach, the study develops a documented artifact corpus comprising …

Ai Agents And Agentic Systems: A Multi-Expert Analysis, Laurie Hughes, Yogesh K. Dwivedi, Tegwen Malik, Mazen Shawosh, Mousa Ahmed Albashrawi, Il Jeon, Vincent Dutot, Mandanna Appanderanda, Tom Crick, Rahul De’, Mark Fenwick, Senali Madugoda Gunaratnege, Paulius Jurcys, Arpan Kumar Kar, Nir Kshetri, Keyao Li, Sashah Mutasa, Spyridon Samothrakis, Michael Wade, Paul Walton

Research outputs 2022 to 2026

The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention. This paper, drawing on multi-expert perspectives, examines the potential of AI agents and agentic systems to reshape industries by decentralizing decision-making, redefining organizational structures, and enhancing cross-functional collaboration. Specific applications include healthcare systems capable of creating adaptive treatment plans, supply chain agents that predict and address disruptions in real-time, and business process automation that reallocates tasks from humans to AI, improving efficiency and innovation. However, the integration of these systems …

Innovation Through Conceptual Research: Tips For Stoking Curiosity, Jun Wen

Research outputs 2022 to 2026

Conceptual research represents a critical step in the theory-building process and contributes innovative ideas that inspire empirical studies. This feature article highlights the importance of such research in academia with examples drawn from the tourism literature. It also critically discusses issues related to publishing conceptual research in premier journals. By using a five-dimension framework of curiosity (i.e., deprivation sensitivity, joyous exploration, social curiosity, stress tolerance, and thrill seeking), scholars can assess researchers’ conceptual topics and readers’ responses when contemplating “what's new” to gauge a paper's publication potential. Several tips are offered to guide like-minded scholars in conducting sound conceptual research: …

Digital Economy Development And Enterprise Carbon Reduction: Evidence From China, Ziyang Li, Tao Luo, Yanlin Li, Yuanyuan Wu

Research outputs 2022 to 2026

Purpose: This study examines the impact of the digital economy on enterprises carbon reduction from a micro-firm perspective. Design/methodology/approach: Drawing on China’s National E-commerce Demonstration Cities policy, this study utilizes a sample from the 2007–2015 China Tax Survey, which covers millions of enterprises, and applies a staggered difference-in-differences model for analysis. Findings: The results indicate that digital economic development significantly promotes enterprise carbon reduction. Mechanism analysis reveals that green innovation and production efficiency are key channels for this impact. Furthermore, heterogeneity analysis suggests that the emission reduction effect is more pronounced in state-owned enterprises, cities with less government regulation, highly …

Enhancing Phygital Customer Experience Through Generative Ai: A Social Listening Method For Strategic Retail Decision-Making, Zahra Dahish, Shah J. Miah, Ameet Pandit, Sanjit K. Roy

Research outputs 2022 to 2026

The use of Generative Artificial Intelligence (GAI) to transform vast amounts of textual content for strategic insights have been a rapidly growing trend for business researchers. Although various studies have identified applications of GAI in business operations, aspects related to strategic support are yet to be fully developed in the relevant literature. This paper introduces a new GAI-enabled social listening solution that integrates advanced text analytics techniques: (a) Long Short-Term Memory (LSTM)–a specialized form of Recurrent Neural Network (RNN) adept at capturing long-term dependencies through its memory function over time, and (b) Google BERT (Bidirectional Encoder Representations from Transformers). Our …

Factors Influencing The Adoption Of Artificial Intelligence Systems: A Systematic Literature Review, Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, Denise Gengatharen

Research outputs 2022 to 2026

Purpose: Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short of expectations, leading to unsuccessful implementations. This paper aims to identify and elucidate the factors influencing AI adoption at both the organisational and individual levels. Developing a conceptual model, it contributes to understanding the underlying individual, social, technological, organisational and environmental factors and guides future research in this area. Design/methodology/approach: The authors have conducted a systematic literature review to synthesise the literature on the determinants of AI adoption. In total, 90 papers published in the field …

Interfaces, Social Information Processing, And Diversity Cascades: How Board Diversity Influences Invention Output, Daniel Z. Mack, Guoli Chen, Po-Hsuan Hsu, Yen Teik Lee, Gerard George

Research Collection Lee Kong Chian School Of Business

Although recent studies report a positive relationship between board diversity and firms' invention output, less is known about the mechanisms by which they operate, given that boards are typically far removed from on-the-ground invention activities. Drawing from research on interfaces and social information processing, we propose a theory of diversity cascades across the organizational hierarchy. Specifically, we posit that board diversity has a positive––albeit indirect––influence on firms' invention output. This relationship is mediated by the diversity of top management teams and inventor diversity, as board diversity cascades from the top to lower ranks of an organization. This indirect effect is …

The Dark Tetrad And The Intention To Invest In Cryptocurrency, Amy Bauer-Sinicin

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Dark Tetrad comprises four distinct negative personality traits with some overlapping qualities: narcissism, Machiavellianism, psychopathy, and sadism. Characterized as being risky and speculative, cryptocurrencies are not backed by government banks like fiat currencies, nor do they offer the same privacy when engaging in transactions.

Narcissists may view cryptocurrency investment as an opportunity to showcase their financial acumen, reinforcing their self-image. Machiavellians see the decentralized, loosely regulated market as ideal for exploiting opportunities through strategic manipulation. Psychopaths, drawn by the market’s volatility, may engage in exploitative schemes for personal gain. Sadists may find satisfaction in the power and control they …

A Plan To Revitalize The Domestic Superconducting Radio-Frequency Industry, G. Ciovati, M. Schuchman, W. Donaldson, A. Murokh, M. Naughton, D. Osha, D. Packard, J. Rathke, A. Todd

Physics Faculty Publications

Superconducting radio-frequency (SRF) cavities are essential building blocks of modern particle accelerators for scientific research, and they offer unique capabilities that could be transformative for commercial applications. Growth of the domestic SRF industry in North America has faced several challenges over the past decades, as most of the international demand for cavities was supplied by European vendors. This contribution provides a brief review of the domestic industrial vendor space, an outlook of the global demand for SRF cavities and an outline of the challenges leading to this supply chain deficiency. One of the main challenges towards establishing a robust domestic …

Insider Threat Agent: A Behavioral Based Zero Trust Access Control Using Machine Learning Agent, Michael Fojude

College of Graduate Studies: Theses & Dissertations

Hybrid work, cloud adoption, and freely available AI‑enabled attack tools have exposed critical weaknesses in perimeter‑centric security. Current breach reports attribute more than one‑third of incidents to insider misuse or credential compromise, yet many organizations still depend on static Role‑ or Attribute‑Based Access Control that neither verifies intent continuously nor adapts to subtle behavioral change. This research addresses that gap by designing and validating a behavioral based Zero Trust Access Control (ZTAC) Agent. A five‑year enterprise log Dataset was extracted and cleansed to establish a high‑fidelity baseline of normal user behavior. Feature engineering captured temporal regularity (login sequence, session duration), …

The Metaverse And Sport Fandom: Revolutionising Sport Consumption, Ashlee Morgan, Anthony Kerr

Research outputs 2022 to 2026

This article explores the potential transformative impact of the metaverse on sport consumption. While traditional sport environments cultivate a sense of communitas and liminality, where attendees experience unity and solidarity, the digital shift is redefining these dynamics. The metaverse offers new ways for sport consumers to engage, experience, and enter into an exchange. We present a model that conceptualises the multifaceted elements reshaping how sport is consumed, while also providing a framework to critically assess the implications of this transformation. We address both the opportunities and challenges presented with the expansion of virtual sport consumption and highlight legal and ethical …

The Effect Of Robot Anthropomorphism On Employee Recovery Of Robot Service Failures: The Mediation Of Employee Empathy, Jiangchi Zhang, Chaowu Xie, Songshan Huang

Research outputs 2022 to 2026

Purpose: This study aims to investigate employee responses to robot service failures. It examines how employees recover from such failures at varying levels of robot anthropomorphism, considering the mediating role of employee empathy and the moderating role of service failure type. Design/methodology/approach: Three scenario-based experiments were designed and implemented. The statistical analysis techniques adopted were independent samples t-test, multivariate analysis of variance and regression. Findings: Findings reveal: a curvilinear relationship exists between employee proactive/reactive recovery and robot anthropomorphism; employee empathy mediates this relationship; and physical affordance failures prompt low proactive and high reactive recovery for low-anthropomorphism robots, while cognitive affordance …

Tech-Forward Learning: Text-To-Speech Impact On Catholic High School Students, Dennise A. Leyva

Theses and Dissertations

This phenomenological study was conducted to improve instructional support for diverse learners in a Southeast Florida Catholic high school by exploring teachers’ use of the Apple iPad accessibility feature, text-to-speech (TTS). Although this Catholic high school implemented a 1:1 iPad program, many teachers had limited experience using the built-in TTS feature to meet the diverse needs of students, including English Language Learners and those with reading difficulties. Teachers often used conventional approaches that failed to integrate assistive technology for inclusive and equitable learning.

The researcher conducted in-depth semi-structured interviews with six high school teachers to examine their experiences implementing the …

Sustainability Solution: Renewable Energy Innovation Against Climate Disasters, Hiva Rastegar, Aymen Sajjad, Gabriel Eweje, Kazunori Kobayashi

Research outputs 2022 to 2026

In an era where climate change poses profound threats to human life and activities, the need for innovative renewable energy solutions has never been more critical. Accordingly, this study examines the moderating effects of natural disaster uncertainty and climate policy uncertainty on firms' pursuit of renewable energy innovation following climate change–induced disasters. Through an in-depth analysis grounded in the behavioral theory of the firm and integrated with the threat rigidity model, this study explores how these uncertainties influence firms' behavior following climatic threats. Using a difference-in-difference-in-differences approach in confluence with meta-analysis, the study scrutinizes the pursuit of renewable energy innovation …

Application Of Enterprise Architecture To Guide The Integration Of Health Information Systems In Namibia, Laizah Mutasa, Martin Mabeifam Ujakpa, Wandisa Nyikana, Irja Shaanika, Tiko Iyamu

Research outputs 2022 to 2026

Namibia is characterized by a fragmented health-care system that has led to data inconsistencies and duplication of efforts. It has also become costly to health-care institutions to maintain these fragmented, standalone systems. This study examined how enterprise architecture (EA) can be applied to guide the integration of health information systems (HISs) in the Namibian health-care context. A qualitative approach was applied to collect data from two cases using semi structured interviews and an interpretive approach in the analysis. From the analysis, the constructs of requirements clarity, information systems and technology (IS/T) project management, systems documentation, and communication were discovered to …

From Normal To Disaster Response Mode: How Can Virtual Communities Reconfigure Themselves To Respond Effectively To A Disaster?, Mahmudul Hasan, Cecil Eng Huang Chua, Michael David Myers, Varqa Shamsi Bahar

Business and Information Technology Faculty Research & Creative Works

During a disaster, many people seek information from virtual communities. However, information overload, falsehoods and unrelated topics hinder information flow in virtual communities, putting disaster victims at risk. Given many disasters are generally of a short duration, we explore how virtual communities can quickly reconfigure themselves to respond effectively to a disaster. Drawing on risk society theory, our findings suggest reconfiguration is done via a series of cycles initially involving community members and subsequently featuring both community members and moderators working together to mitigate risks. We contribute to virtual community discourse on disaster response by showing how a virtual community …

A Tribute To The Life And Work Of Jess Chua, James J. Chrisman, Zhenyu Wu, Alfredo De Massis, Pramodita Sharma, Lloyd P. Steier, Franz W. Kellermanns, Josip Kotlar, Emanuela Rondi, Bingbing Ge, Chevy-Hanqing Fang

Business and Information Technology Faculty Research & Creative Works

Jess Chua was a leading scholar in the field of family business and a major contributor to Entrepreneurship Theory and Practice both as an author and editor. His significant contributions to the field were acknowledged by the Web of Science, which listed him among the world's most highly cited researchers in Economics and Business in 2017, 2019, and 2020. In this memorial editorial, we pay tribute to him by discussing his influence on the field through his academic work, mentoring, long-term collaborations with other scholars, and the kindness he and his wife, Eva Kan, showed to his colleagues and students.

Managing Digital Transformation With Blockchain: Distributed Ledger Innovation Platforms, Nobuyuki Fukawa, Gregory J. Fisher

Business and Information Technology Faculty Research & Creative Works

Realizing its overarching potential in achieving digital transformation, leading organizations, such as Air New Zealand, have recently employed blockchain technology to manage 3D printing innovation. Despite the potential benefits, including the key role of blockchain as a supporting technology in Industry 5.0, these applications of blockchain technology in 3D printing are still at a nascent stage in practice and mostly limited to producer innovation. Additionally, 3D printing and blockchain technologies are often independently revolutionizing value capture and value creation, whereas the theoretical implications of their combined impacts on innovation management remain an underexplored domain. Limited digital transformation efforts have been …

Mindful Or Mindless? How And Why Virtual Communities Fail To Contain Information Pollution Across Different Disasters, Mahmudul Hasan, Varqa Shamsi Bahar, Cecil Eng Huang Chua, Michael David Myers

Business and Information Technology Faculty Research & Creative Works

People visit virtual communities to find trusted information (i.e. verifiable, accurate and reliable information) during disasters. Virtual communities are open spaces where people interact and share information. However, virtual communities often suffer from information pollution (including too much information and false or contradictory information) which decreases peoples' ability to find trusted information. Oddly, some virtual communities will develop useful practices for combatting information pollution during one disaster but subsequently fail to effectively employ the same practices or adapt them in subsequent disasters. We conducted a longitudinal, exploratory cross-case study to better understand how and why this occurs. Using the lenses …