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Articles 1 - 30 of 62
Full-Text Articles in Technology and Innovation
Firms’ Darq Readiness And Marketing Implications: A Systematic Literature Review, Ali N. Tehrani, K. Roy, Richard Gruner
Firms’ Darq Readiness And Marketing Implications: A Systematic Literature Review, Ali N. Tehrani, K. Roy, Richard Gruner
Research outputs 2022 to 2026
Purpose – This study aims to systematically review literature across diverse disciplines, including marketing, management and information systems, to synthesise insights on firms’ readiness to adopt and implement DARQ technologies and their marketing implications. DARQ technologies are emerging and cutting-edge technologies, including Distributed Ledger Technology, Artificial Intelligence, Extended Reality and Quantum Computing (hence, DARQ). Design/methodology/approach – Through a systematic review of over 2, 500 papers across three databases, this study distilled a focused sample of 88 papers. It comprehensively explores the reported dimensions, antecedents, outcomes and marketing implications of firms’ readiness for DARQ technologies. Findings – This study identified three …
The Service Variety Paradox In Crypto-Exchanges: A Stimulus-Organism-Response (Sor) Perspective, Cheuk Hang Au, Po Hsu Shieh, Vladimir Nurbaev, Kris M.Y. Law, Kevin K.W. Ho
The Service Variety Paradox In Crypto-Exchanges: A Stimulus-Organism-Response (Sor) Perspective, Cheuk Hang Au, Po Hsu Shieh, Vladimir Nurbaev, Kris M.Y. Law, Kevin K.W. Ho
Research outputs 2022 to 2026
Digital platforms face a fundamental paradox: while expanding service variety is a dominant competitive strategy, it risks inducing a “paradox of choice” that confuses and deters users. This tension manifests with extreme clarity in the nascent, high-complexity market of cryptocurrency exchanges, creating a pressing empirical puzzle. To resolve this, we adopt the Stimulus-Organism-Response (SOR) perspective in a three-stage mixed-method study to investigate how platforms can strategically manage this trade-off. Our qualitative exploration (Study 1) established a capital flow schema called “inflow, roll, and go” and identified key complexity-reduction mechanisms. A subsequent survey (n = 190, Study 2) validated that perceived …
Key Success Factors In Aviation–Start-Up Collaboration: A Framework For Innovation And Value Creation, Bruno Pereira, Gui Lohmann, Luke Houghton, Adela Mcmurray, Mauro Caetano
Key Success Factors In Aviation–Start-Up Collaboration: A Framework For Innovation And Value Creation, Bruno Pereira, Gui Lohmann, Luke Houghton, Adela Mcmurray, Mauro Caetano
Research outputs 2022 to 2026
This study addresses how the aviation sector can create value by fostering innovation in collaboration with start-ups. A novel ‘Key-Success Factors in Aviation-Start-up Collaboration Framework’ is proposed to explain the innovation process, identify key success factors, and generate valuable insights into the aviation sector and start-up partnerships. Drawing on 31 of 80 consolidated key success factors selected from the literature and validated through ten interviews with managers of aviation innovation programs and start-up founders, the proposed framework is structured into three dimensions: (i) antecedents, (ii) governance, support, and development, and (iii) innovation and value creation, and 13 related categories. The …
Transformative Phygital Service Research (Tpsr): An Agenda For Future Research, Saadia Shabnam, Sanjit K. Roy, Yonathan Silvain Roten, Gaganpreet Singh, Taewon Suh, Hairong Li
Transformative Phygital Service Research (Tpsr): An Agenda For Future Research, Saadia Shabnam, Sanjit K. Roy, Yonathan Silvain Roten, Gaganpreet Singh, Taewon Suh, Hairong Li
Research outputs 2022 to 2026
Purpose – This paper aims to develop a transformative phygital service research (TPSR) framework to explain how hybrid physical-digital service systems shape consumer well-being, autonomy, dignity and inclusion. While prior phygital service research (PSR) advances understanding of hybrid experiences and human-centred ecosystems, key ambiguities persist around agency, governance and interpretive labour in algorithmically mediated interactions. Existing frameworks address value co-creation but lack clarity on how digitally enforced rules and redistributed labour drive transformation. TPSR addresses this gap by theorising contradiction-driven processes through which human–AI arrangements and socio-technical dynamics produce both empowering and erosive outcomes in phygital service environments. Design/methodology/approach – …
More Than Just Fair: Legitimizing Ai Through Reciprocity, Ethical Ai Characteristics And Personal Information Sharing, Shahid Hussain, Asim Qazi, Violetta Wilk
More Than Just Fair: Legitimizing Ai Through Reciprocity, Ethical Ai Characteristics And Personal Information Sharing, Shahid Hussain, Asim Qazi, Violetta Wilk
Research outputs 2022 to 2026
This research examines how perceived reciprocity and perceived ethical AI characteristics – fairness, accountability, and transparency (FAT principles) – shape consumers’ willingness to share personal information and its downstream consequences in AI-mediated consumer-brand interactions. Grounded in social exchange theory, we conceptualize personal information sharing as a behavioral gateway through which ethical exchange cues translate into perceived algorithmic legitimacy and intention to co-create value. Using a two-study design, consisting of a scenario-based experiment (n = 184) and a cross-sectional survey (n = 612), the findings of this research show that reciprocity and FAT principles robustly increase willingness to share personal information. …
Leveraging Generative Ai For Project Management: The Role Of Mindfulness And Job Crafting, Keyao Li, Fangfang Zhang, Laurie Hughes, Mark A. Griffin
Leveraging Generative Ai For Project Management: The Role Of Mindfulness And Job Crafting, Keyao Li, Fangfang Zhang, Laurie Hughes, Mark A. Griffin
Research outputs 2022 to 2026
The integration of generative artificial intelligence (GenAI) holds great potential to transform the project management profession, which can bring both substantial benefits and significant disruption. This study argues that effective GenAI adoption requires not only technical skills but also mindfulness to navigate its complexities and challenges. This study explores how mindfulness supports project managers in leveraging GenAI technologies to innovate work practices. We argue that project managers with higher mindfulness levels tend to be more open, attentive, and creative in crafting their immediate work environment. This, in turn, encourages project managers to explore how GenAI can optimise workflows, and ultimately …
Quality Of Human-Genai Collaboration And Its Driving Factors: A Symbiotic Agency Perspective, Jiayu Shang, Dan Huang, Songshan (Sam) Huang
Quality Of Human-Genai Collaboration And Its Driving Factors: A Symbiotic Agency Perspective, Jiayu Shang, Dan Huang, Songshan (Sam) Huang
Research outputs 2022 to 2026
Generative AI (GenAI) is increasingly integrated into users’ daily work as a collaborative partner. Drawing on the symbiotic agency theory, this study investigates the quality of human-GenAI collaboration using a mixed-methods approach, including qualitative interviews and quantitative surveys. Study 1 identified three dimensions of human-GenAI collaboration quality that comprise outcome quality, comfort, and efficiency; and six driving factors which can be categorized under human agency (domain knowledge, desire for control, and domestication ability), and GenAI agency (communication ability, working memory, and long-term memory). Study 2 applied fuzzy-set qualitative comparative analysis (fsQCA) to explore configurations of the driving factors that lead …
Beyond The Hype: Organisational Adoption Of Generative Ai Through The Lens Of The Toe Framework–A Mixed Methods Perspective, Laurie Hughes, Fern Davies, Keyao Li, Senali Madugoda Gunaratnege, Tegwen Malik, Yogesh K. Dwivedi
Beyond The Hype: Organisational Adoption Of Generative Ai Through The Lens Of The Toe Framework–A Mixed Methods Perspective, Laurie Hughes, Fern Davies, Keyao Li, Senali Madugoda Gunaratnege, Tegwen Malik, Yogesh K. Dwivedi
Research outputs 2022 to 2026
It is widely accepted that the impact of Generative Artificial Intelligence (GenAI) has been nothing short of transformational, with tangible impacts on industry, education, healthcare and government. But beyond the headlines, how are organisations actually using GenAI, what are the key challenges experienced by decision makers and has the reality on the ground matched the hype? This study adopts a mixed-methods approach, utilising the Technology-Organisation-Environment (TOE) framework to reveal greater insights to how organisations are adopting GenAI, the drivers that affect decision making and the key challenges associated with greater use of the technology. This research adopts a mixed method …
Exploring The Las-Vict Principle Of Cryptocurrency Exchanges: A Belief–Action–Outcome Perspective, Cheuk Hang Au, Kevin K.W. Ho, Po Hsu Shieh, Kris M.Y. Law
Exploring The Las-Vict Principle Of Cryptocurrency Exchanges: A Belief–Action–Outcome Perspective, Cheuk Hang Au, Kevin K.W. Ho, Po Hsu Shieh, Kris M.Y. Law
Research outputs 2022 to 2026
Purpose – Cryptocurrency exchanges operate in a hyper-volatile, “wild west” environment, fundamentally challenging existing theories of FinTech success that were built for stable markets. The literature lacks a framework to explain how firms thrive amidst such extreme regulatory ambiguity and institutional distrust. This study resolves this theoretical puzzle by developing a new principle for success in nascent, high-stakes digital ecosystems. Design/methodology/approach – We conduct a multiple-case study of 14 leading cryptocurrency exchanges. Using the belief–action–outcome (BAO) logic as an analytical guide, we deconstruct the strategic actions that separate successful exchanges from failures, synthesising them into a new, empirically grounded framework. …
Innovativeness And Self-Efficacy In Lecturers’ Intentions To Use Cloud Computing Services In Teaching And Learning In South African Higher Education, John Mangundu, Laizah Sashah Mutasa, Senali Madugoda Gunaratnege, Martin Ujakpa
Innovativeness And Self-Efficacy In Lecturers’ Intentions To Use Cloud Computing Services In Teaching And Learning In South African Higher Education, John Mangundu, Laizah Sashah Mutasa, Senali Madugoda Gunaratnege, Martin Ujakpa
Research outputs 2022 to 2026
There has been an acceleration of the adoption of cloud computing in higher education institutions (HEIs), especially in response to the COVID-19 pandemic. This shift to virtual and blended learning environments, led to a migration of HEIs’ information management processes to cloud-based systems. Despite its advantages, cloud computing adoption in South African HEIs remains low. This study applies the Theory of Planned Behaviour (TPB) to examine how self-efficacy and innovativeness influence lecturers’ intentions to use cloud computing services. A quantitative design was applied, and stratified random sampling ensured representation across the lecturer population. Data were collected through an online questionnaire …
Determinants Of Artificial Intelligence Adoption: Research Themes And Future Directions, Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, Denise Gengatharen
Determinants Of Artificial Intelligence Adoption: Research Themes And Future Directions, Ahmad A. Khanfar, Reza Kiani Mavi, Mohammad Iranmanesh, Denise Gengatharen
Research outputs 2022 to 2026
The adoption of artificial intelligence (AI) systems is on the rise owing to their many benefits. This study conducted a bibliometric analysis to identify (1) how the literature on AI adoption has evolved over the past few years, (2) key themes associated with AI adoption in the literature, and (3) the gaps in the literature. To achieve these objectives, we utilised the Biblioshiny of R-package bibliometric analysis tool to analyse the AI adoption literature. A total of 91 articles were reviewed and analysed in this study. Four major themes were identified: AI, machine learning, the unified theory of acceptance and …
The Factors Influencing Organisational Responsiveness For Sustainable Projects, Richard Hughes, Bradley Baker
The Factors Influencing Organisational Responsiveness For Sustainable Projects, Richard Hughes, Bradley Baker
Research outputs 2022 to 2026
Purpose: This study investigates how organisations respond to sustainability when it becomes a central strategic priority, particularly through project environments. The research seeks to understand the factors influencing organisational responsiveness to sustainability imperatives in projects, addressing a key gap in sustainable project management literature. Design/methodology/approach: The study employed a thematic meta-synthesis of qualitative case studies from multiple countries and different economic sectors. Using grounded theory, data were coded to identify first-order concepts, second-order themes and aggregate dimensions, culminating in the development of a conceptual model of dynamic adaptation. Findings: The analysis revealed three interrelated dimensions that shape organisational responsiveness: strategic …
Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali
Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali
Research outputs 2022 to 2026
The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools and their subsequent academic outcomes. The research aims to develop and test a theoretical model that integrates these factors to explain Generative AI adoption and its effect on perceived academic performance among university students. Data were collected through surveys from 318 students and …
Examining The Factors Influencing Citizen Adoption Of E-Government Chatbot Services In Jordan: A Longitudinal Survey Study, Ibrahim Mohamad, Laurie Hughes, Ali Abdallah Alalwan, Tegwen Malik, Yogesh K. Dwivedi
Examining The Factors Influencing Citizen Adoption Of E-Government Chatbot Services In Jordan: A Longitudinal Survey Study, Ibrahim Mohamad, Laurie Hughes, Ali Abdallah Alalwan, Tegwen Malik, Yogesh K. Dwivedi
Research outputs 2022 to 2026
Many governments are focusing on adopting Artificial Intelligence (AI)-based chatbot technology to enhance work efficiency and improve e-government services. Jordan was among the first Middle Eastern countries to implement AI chatbots to offer various e-services to its citizens. While previous studies have examined the adoption of AI chatbots, they have not explored citizen adoption within the Jordanian context. This research investigates the key factors influencing citizen adoption of e-government chatbot services in Jordan by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) theory with additional external variables. A longitudinal survey of 319 Jordanian citizens was conducted, …
Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet
Metaverse And Artificial Intelligence As Web 4.0: The Next Generation Of The Internet, Anton Klarin, Elena Gorenskaia, Qijie Xiao, Pi-Shen Seet
Research outputs 2022 to 2026
This study utilizes systems thinking to explore and entwine an evolving metaverse scholarship to a relatively underexplored phenomenon of Web 4.0. We adopt a soft systems thinking framework to guide the interpretation of complex and evolving metaverse scholarship, using bibliometric mapping of 5587 publications sourced from Scopus. Using systems thinking, we synthesize these clusters into the following four thematic areas: (i) business and society implications, (ii) optimization, (iii) integration with other technologies and (iv) metaverse education. Drawing on the largest-to-date review of the metaverse as well as a systematic review of Web 4.0 literature, we propose a novel conceptualization of …
The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon
The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon
Research outputs 2022 to 2026
Purpose: This paper aims to explore how biomimetic principles can inform governance models for agentic artificial intelligence (AI) systems, autonomous, adaptive entities that challenge traditional oversight frameworks. It argues that nature-inspired governance offers a dynamic alternative to static, compliance-based models. Design/methodology/approach: This study adopts a conceptual viewpoint approach. It synthesizes literature on AI governance, systems theory and biomimicry, applying thematic analysis to existing frameworks and mapping identified gaps to five natural principles: symmetry, fractals, cymatic feedback, self-organization and phase transitions. Findings: Current governance frameworks lack mechanisms for managing emergent behaviors and distributed agency in agentic AI. The proposed biomimetic lens …
Refuelling Behaviour And Electric Vehicle Uptake: Evidence From A Behavioural Transition Framework In Western Australia, Navid Hashemi Taba, Khatavakhotan
Refuelling Behaviour And Electric Vehicle Uptake: Evidence From A Behavioural Transition Framework In Western Australia, Navid Hashemi Taba, Khatavakhotan
Research outputs 2022 to 2026
This study examined how refuelling routines, price responsiveness and discount expectations relate to readiness to replace a conventional petrol vehicle with an electric vehicle in Western Australia. A structured survey of nonelectric vehicle owners was administered in Perth (n = 442; conventional petrol n = 408; hybrid n = 34). Protocol-based cleaning and distributional diagnostics guided nonparametric inference and segmentation. Refuelling frequency comparisons between conventional and hybrid vehicle owners indicated higher visit frequency and monthly consumption among the former (monthly consumption: median 150 L vs. 92 L; U = 6963.5, z = 4.48, p < 0.001), whereas within conventional vehicle owners, no significant association was observed between monthly consumption and stated willingness to adopt an electric vehicle (U = 6633.0, p = 0.671). Expected petrol price discounts were tightly centred (median 10%; interquartile range 5%–15%), yet cluster analysis revealed a distinct segment combining high discount expectations (≈22%) and higher monthly consumption (∼211 L). Correlation between consumption and discount expectations was negligible (r ≈ 0.03, p > 0.05). These findings suggest that adoption-related …
How Climate For Green Initiatives Drives Eco-Innovative And Citizenship Behaviours: The Role Of Green Engagement And Green Values, Aaron Makafui Ametorwo, Michael Kyei-Frimpong, Abdul Razak Suleman
How Climate For Green Initiatives Drives Eco-Innovative And Citizenship Behaviours: The Role Of Green Engagement And Green Values, Aaron Makafui Ametorwo, Michael Kyei-Frimpong, Abdul Razak Suleman
Research outputs 2022 to 2026
Purpose This study proposes and tests the nexus between climate for green initiatives, green innovative behaviour, organisational citizenship behaviour for the environment, green work engagement, and individual green values. Design/methodology/approach The study adopted the explanatory research design, where data were gathered from 374 star-rated frontline employees at two different waves within a one-month interval. The data retrieved from the respondents were analysed using descriptive and inferential (partial least squares structural equation modelling) statistics. Findings The study revealed that a climate for green initiatives positively and significantly relates to green innovative behaviour and organisational citizenship behaviour for the environment. Also, the …
Organizational Sustainability In The Face Of Digital Transformation With A Bibliometric And Content Analysis For Future Research Agenda, Rahmanwali Sahar, Md Abu Jahid, Hasan Fauzi, Md Harun Ur Rashid
Organizational Sustainability In The Face Of Digital Transformation With A Bibliometric And Content Analysis For Future Research Agenda, Rahmanwali Sahar, Md Abu Jahid, Hasan Fauzi, Md Harun Ur Rashid
Research outputs 2022 to 2026
This study explores the intersection of organizational sustainability and digital transformation by providing a comprehensive bibliometric and content analysis of existing literature. Using data from the Scopus database, the research employs bibliometric tools such as VOSviewer to analyze trends, identify key themes, and map the intellectual structure of the field. The analysis focuses on publications from 2016 to 2025, highlighting the significant growth of research in this domain, particularly after 2018, indicating a rising scholarly interest in sustainable digital innovation. The Results reveal that most publications are concentrated in high-impact journals, with top contributing countries including the United States, the …
Ai-Generated Content In Cross-Domain Applications: Research Trends, Challenges And Propositions, Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu
Ai-Generated Content In Cross-Domain Applications: Research Trends, Challenges And Propositions, Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu
Research outputs 2022 to 2026
Artificial Intelligence Generated Content (AIGC) has rapidly emerged with the capability to generate different forms of content, including text, images, videos, and other modalities, which can achieve a quality similar to content created by humans. As a result, AIGC is now widely applied across various domains such as digital marketing, education, and public health, and has shown promising results by enhancing content creation efficiency and improving information delivery. However, there are few studies that explore the latest progress and emerging challenges of AIGC across different domains. To bridge this gap, this paper brings together 16 scholars from multiple disciplines to …
Understanding The Factors Affecting Social Acceptance Of Solar Energy Technologies, Jane Osei, Kerry Brown, Mehran Nejati
Understanding The Factors Affecting Social Acceptance Of Solar Energy Technologies, Jane Osei, Kerry Brown, Mehran Nejati
Research outputs 2022 to 2026
This study investigates the key factors influencing the social acceptance of solar energy technologies, aiming to develop a policy and practice framework from a socio-political perspective. While previous research has identified various factors, it has often overlooked the role of policy interventions. By employing Transition Management theory, this study maps these factors and emphasizes the importance of learning and policy adaptation in the energy transition process. Solar energy, known for its cost-effectiveness and potential to stabilize electricity costs, remains relatively unfamiliar to many at the local level despite its global technological maturity. This research consolidates fragmented findings from 46 articles …
A General Bibliometric And Conceptual Structure Approach To Global Trend On Poverty Research In Islam Using Biblioshiny, Mohd Zaid Mustafar, Mohd Khairul Nizam Mohd Aziz, Dziauddin Sharif, Md Azzaat Ahsanie Lokman, Ashraff Bin Ruslan, Saiyidi Mat Roni
A General Bibliometric And Conceptual Structure Approach To Global Trend On Poverty Research In Islam Using Biblioshiny, Mohd Zaid Mustafar, Mohd Khairul Nizam Mohd Aziz, Dziauddin Sharif, Md Azzaat Ahsanie Lokman, Ashraff Bin Ruslan, Saiyidi Mat Roni
Research outputs 2022 to 2026
This study maps the intellectual landscape of research on poverty in Islam using a structured bibliometric approach with Biblioshiny (Bibliometrix) in RStudio. A Scopus search (TITLE-ABS-KEY “poverty” AND “Islam”) conducted on 1 September 2023 identified 279 English-language journal articles published between 1976 and 2023. The corpus spans 227 sources, 646 authors, and 10,262 cited references, with an annual growth rate of about 5%. Performance and science-mapping analyses reveal two “motor themes”—Islamic finance and healthcare/public health—while spiritually anchored constructs (e.g., maqasid, zakat governance, waqf, spiritual poverty) remain peripheral in co-occurrence and thematic maps. Citation patterns indicate higher field-normalized impact when studies …
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
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
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
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
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
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 …
The Metaverse And Sport Fandom: Revolutionising Sport Consumption, Ashlee Morgan, Anthony Kerr
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
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 …
Sustainability Solution: Renewable Energy Innovation Against Climate Disasters, Hiva Rastegar, Aymen Sajjad, Gabriel Eweje, Kazunori Kobayashi
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 …