Justin Zhang

• Ph.D. in Business Admin
• Assocate Profesor of MIS and Business Analytics at University of North Florida

Purpose This study aims to explore the intricate dynamics around the adoption of generative AI (GenAI) in India’s retail industry. The study uncovers the dynamic relationships between the antecedents of GenAI adoption and the impact of GenAI adoption on employee efficiency, business value creation and firm performance. Design/methodology/approach...

Purpose The purpose of this paper is to assess the technical efficiency of credit unions by taking into consideration not only desirable but also undesirable outputs and measure the contribution of individual inputs and outputs to efficiency scores. Design/methodology/approach Data envelopment analysis is used to measure the relative performance...

Purpose The research investigates the influence of immersive experiences (sensory, feel, think and behavioural) on user engagement in the metaverse. It also examines the influence of user engagement on intimacy, passion and commitment. Lastly, the study also investigated the moderating impact of technology anxiety. Design/methodology/approach Usi...

Purpose This study aims to investigate how fashion companies can enhance their knowledge sharing to achieve value co-creation through digital transformation. Design/methodology/approach This research establishes a theoretical framework to explore how the fashion industry can promote value co-creation. Using this outlier knowledge management frame...

The paper focuses on how technology readiness affects the desire of bank workers in China to use artificial intelligence (AI) in the finance sector. It aims to show what factors are important and how they relate to each other. The study used SMART PLS 4 to analyze the connections between these factors. Data was collected from 374 employees working...

Commercial utilization of Generative Artificial Intelligence (GAI) is expanding rapidly. However, few studies have investigated the transformative impact of GAI on business operations, with a specific focus on Research and Development (R&D) and advertising facilitated by AI-generated content (AIGC) empowerment; particularly, there is a lack of anal...

This study investigates the impact of digital technologies on firm radical innovation and explores the mediating mechanisms of knowledge transfer and knowledge co-creation. Utilizing a sample of 152 high-technology entrepreneurial firms, we present compelling evidence that digital technologies positively influence the radical innovation of these fi...

As cyberthreats become more targeted and complex, industries that rely on interconnected information and operational technologies (IT/OT) face unique vulnerabilities. Addressing these risks requires innovative approaches to cybersecurity. This article focuses on an alternative information-sharing forum centered on the extended value chain of a sing...

This book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in t...

Access to water is fundamental for life, yet many citizens in developing countries face severe water shortages, exacerbated by recurring droughts, particularly in water-stressed regions. Street-level bureaucrats in these areas encounter the dual challenge of addressing local residents' expectations for relief while operating with constrained resour...

Purpose Achieving sustainability and sustainable performance has emerged as a critical area of focus for both academic research and practice. However, this pursuit faces challenges, particularly concerning the inadequacy of supply chain information. To address this issue, our study employs the organizational information processing theory to explore...

The Metaverse represents a collaborative virtual realm blending physical and digital realities, fostering limitless avenues for online interaction, discovery and innovation. As technological strides propel immersive virtual worlds to the forefront of social media platforms, scholarly interest in the Metaverse surges, prompting extensive discourse....

As blockchain technology advances, non-fungible tokens (NFTs) are emerging as unconventional assets in the commercial market. However, it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns. This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms s...

In this research, we examine user engagement with the metaverse platform using the stimulus-organism-response theory. We used a mixed-methods approach that involved a qualitative study and a quantitative study to answer several research questions. We found that immersiveness, personalization, and homophily are associated with user engagement in the...

Purpose This paper investigates the impact of last-mile logistics on consumers’ intentions when purchasing organic foods through e-commerce. By addressing challenges such as trust, pricing and supply chain issues, the study aims to demonstrate how sustainable delivery options can improve consumer perceptions of the long-term viability of organic f...

This research investigates the effects of family tourism on family bonding and the physical and mental development of children, specifically focusing on the travel motivation of families with adolescents. Despite its significance, the antecedents and internal mechanisms driving this motivation remain unclear. To address this gap, we employed an int...

In an era defined by rapid digital transformation, Agile Security in the Digital Era: Challenges and Cybersecurity Trends emerges as a pivotal resource for navigating the complex and ever-evolving cybersecurity landscape. This book offers a comprehensive exploration of how agile methodologies can be integrated into cybersecurity practices to addres...

Information theory has emerged as a prominent approach for analyzing feature relevance and redundancy in multi-label feature selection. However, traditional information theory-based methods encounter two primary issues. Firstly, when evaluating feature relevance, they fail to consider the differing importance of each label within the entire label s...

From the perspective of the inhibition of privacy computing theory, taking user satisfaction as risk perception, this paper discusses how the readability of financial APP privacy policies inhibits user satisfaction, thus affecting enterprise performance. Firstly, this paper measures the readability of privacy policies by constructing a professional...

Since the Industrial Revolution, significant technological advancements have revolutionized various manual processes and workflows entrenched for decades. Artificial Intelligence (AI) offers similar transformative potential across diverse industrial and social domains. The rapid pace of change in the AI-driven digital age presents unprecedented opp...

With the international community’s commitment to the goals of the Paris Agreement and governments’ implementation of green recovery plans worldwide, the green economy is increasingly recognized as a key strategy to address environmental crises and as a driver of new economic growth. Based on the Web of Science database, this study analyzes 2,106 ar...

As an integration of cutting-edge digital technologies, the metaverse is set to revolutionize online retailing. This study employed a well-established metaverse automotive retailing platform in China to explore the paths influencing consumers' purchase intention when shopping in the metaverse. We adopted structural equation modeling to analyze the...

Evolving from augmented and virtual reality environments, the metaverse offers unique immersion, presence, interaction, and persistence, setting it apart from other online platforms. This study employs an experimental design to test a model examining how technology acceptance and platform attachment, driven by situatedness in the metaverse, impact...

The government has been promoting the adoption of electric vehicles (EVs) in recent decades. However, challenges still exist in encouraging widespread use of EVs, which may impact potential buyers. Aside from the well-known barriers related to purchasing, the rate at which the value of EVs is retained over time may also influence consumers’ decisio...

Purpose Due to the rapid growth of digital economy, improving employees’ creativity is becoming essential to optimizing the development of organizations. This study investigates how enterprise social media can enhance employee creativity and develops an integrated model based on communication visibility and social capital theories. Design/methodol...

The emergence of Industry 4.0, characterized by rapid technological change and fierce competition, challenges technology firms to make strategic innovation decisions. Central to this is the metaverse, a hybrid virtual space combining virtual reality, augmented reality, and the internet. Recognizing that the implications of metaverse applications ex...

Although cryptocurrencies are not yet widely used as a method of payment in retail and commercial transactions, they are attracting a growing level of interest. However, if cryptocurrencies are to attract mass adoption for settlement, they will need to have merchant and consumer trust. This paper examines the factors which contribute to the develop...

Purpose The trend among the financial investors to integrate cryptocurrencies, the very first completely digital assets, in their investment portfolio, has increased during the last decade. Even though cryptocurrencies share certain common characteristics with other investment products, they have their own distinct characteristic features, and the...

To date, there are still limited studies that have devoted their attention to the customers’ demand for natural food products. Notwithstanding, to the best of the authors’ knowledge, there are no articles that integrate the Theory of Consumption Values (TCV) with the Stimuli-Organism-Behavior-Consequence (S-O-B-C) framework, to explore the intricat...

Cotton, cotton yarn, and other cotton products have frequent price volatility, increasing the difficulty for industry participants to develop rational business decision plans. To support cotton textile industry decision-makers, we apply data mining methods to extract the main influencing factors affecting cotton yarn futures prices from big data an...

Amid rising demand for personalized products, manufacturers are forming collaborative bonds with suppliers, driven by revenue and cost-sharing arrangements. This study presents an evolutionary game model examining collaboration nuances and analyzes the impact of customization, revenue, and cost-sharing ratios. Findings reveal customization's bidire...

Fuzzy information-theoretic metrics have been demonstrated to be effective in evaluating feature relevance and redundancy in both categorical and numerical feature selection tasks. Most existing feature selection methods based on fuzzy information-theoretic metrics treat all classes as a single entity, resulting in the selection of a consistent fea...

This study explores optimal remanufacturing strategies in a closed-loop supply chain under government-mandated recycling and remanufacturing targets. Two models are proposed: Model O, featuring the original equipment manufacturer (OEM) managing both product streams, and Model T, with a third-party remanufacturer and the OEM in a leadership role. Ut...

Artificial intelligence (AI) technology has significantly transformed corporate behavior in the energy sector by enhancing the capacity and efficiency of information transmission and big data analysis. However, there is still a limited understanding of how AI influences new market entry mode strategies in overseas energy investments. Drawing on inf...

Artificial intelligence-powered chatbot usage continues to grow worldwide, and there is ongoing research to identify features that maximize the utility of chatbots. This study uses the multi-criteria decision-making (MCDM) method to find the best available alternative chatbot for task completion. We identify chatbot evaluation criteria from literat...

Scientific and technological innovation is crucial for energy conservation and emissions reduction. This article estimates the impact of technological innovation on the energy and environmental performance of China's mining industry. Most previous research on technological innovation has focused on the industry as a whole part, while the literature...

Purpose Based on the Natural resource-based view (NRBV), this study aims to analyze the association between the Sustainable Development Goals related to Gender Equality, Decent Work, Innovation, and Climatic Action in the Food Industry. Design/methodology/approach A quantitative study is adopted based on the 2019 World Bank Enterprise Survey micr...

Electric vehicles (EVs) and their battery recycling have recently garnered heightened attention from both firms and consumers, primarily driven by concerns related to environmental sustainability. However, consumers often grapple with uncertainties regarding the green valuation of EVs. Integrating blockchain traceability technology presents a promi...

This research delves into the operational intricacies and pathways driving value realization within a supply chain innovation ecosystem, with a specific focus on the lens of value co-creation. Leveraging China’s home appliance manufacturing industry as a case study, we develop a system dynamics model, revealing that the collaborative interaction am...

This study aims to test an integrative model incorporating the impact of organizational learning culture on knowledge sharing and job satisfaction and examine their influence on innovation capabilities and employee retention. Moreover, this study investigates the effect of innovation capabilities and employee retention on organizational sustainabil...

With the expanding reach of the Internet of Things, information security threats are increasing, including from the very professionals tasked with defending against these threats. This study identified factors impacting information security behavior among these individuals. Protection motivation theory and the theory of planned behavior were employ...

Purpose The objective of this research is to examine the association of artificial intelligence (AI) awareness on workers' retention and the boundary conditions in the context of project organizations. Design/methodology/approach We collected time-lagged data from project organizations in China. Findings The results showed that AI awareness pred...

The average electricity consumption per capita in China still has significant room for growth. Under the current rigid residential electricity pricing, it is very important to study how factors other than price can promote electricity conservation among residents. This paper uses micro-survey data of 2018 and 2020 to analyze energy efficiency and t...

This study delves into the strategies employed by small and medium-sized enterprises (SMEs) to embed digital technology into their business models, aiming to reach carbon neutrality. We offer a comprehensive analysis of five high technology SMEs, unveiling an evolutionary process model that highlights their journey toward integrating technology. Th...

Purpose This study seeks to explore the intricate relationship among supply chain transparency, digitalization and idiosyncratic risk, with a specific focus on newly public firms. The objective is to determine whether supply chain transparency effectively mitigates idiosyncratic risk within this context and to understand the potential impact of di...

Recently, there is a significant growth in the use of the Cyber-Physical System (CPS). New technologies such as Internet of Things (IoT), Industry 4.0, and Analytics have become enablers of CPS implementation. Study of the development and application of CPS in the supply chain context is valuable to operations management and information systems res...

Artificial intelligence (AI) is rapidly transforming the business landscape, but limited research is available regarding how companies are responding and adapting to AI. Using dynamic capability theory, we hypothesized that companies would develop new dynamic capabilities to seize AI opportunities. Our analysis of qualitative data from six major Ch...

The governance of Virtual-Reality Integration, which seamlessly merges the virtual world (metaverse) with the physical reality, represents an emerging approach to addressing perception and comprehension challenges in complex computational environments. Such Virtual-Reality Integration systems have the capability to streamline data analysis complexi...

Purpose This paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed. Design/methodology/approach...

ChatGPT, an esteemed natural language processing model, has demonstrated remarkable capabilities in intelligent text generation, interactive conversation, and myriad additional tasks. The utilization of ChatGPT has generated a wide debate among users with different attitudes on social media platforms, culminating in the phenomenon of polarization....

The emergence of enterprise social media (ESM) allows enterprises to develop employee improvisation ability for effective decision-making in various emergencies. However, it remains unclear how the use of ESM by employees affects their ability to improvise. Based on the job demands-resources model and Kahn's psychological conditions framework, this...

The extant scholarship has concentrated on the macro-level interorganizational interactions within business-to-business (B2B) relationships. However, granular-level phenomena, particularly the resistive behaviors of individual B2B relationship managers, have not been adequately scrutinized. Grounded in resource dependence theory, the study examines...

The financial sector is witnessing rapid technological innovations, leading to the emergence of Fintech (financial technologies), revolutionizing national and international financial landscapes. Fintech is expanding and enhancing financial products and services, making them more accessible and affordable while transforming customer relationships, p...

Online Communities have been growing with increasing intervention of social media. The digital natives have also gradually started to spend a fairly large time on the internet and their contributions have grown significantly in shaping discussions and future of online communities. With an increase in contribution, it is also witnessed that these co...

We explore the marginal dynamic effect of abnormal temperature rise on China's financial stress and monetary policy using monthly data from January 2002 to December 2019. Our empirical results demonstrate that: (a) China's financial stress has a positive response to an increase in abnormal temperature change shock significantly, especially in the 4...

Based on the perspective of reputation and resource-based theory, we take sharing economy industry as an example and explore the reputation factors that affect the survival of startups. The dataset of 501 Chinese car-sharing platform startups and the logit regression model were used to test the variable relationships and hypotheses. The results sho...

The empowerment of Artificial Intelligence (AI) in manufacturing has drawn considerable attention, yet a holistic understanding of AI's effects on manufacturers' resilience and performance remains elusive. Our research leverages organizational information processing theory to explore the impact of three AI types – cognitive insights, process automa...

This research employs an analytical modelling approach, complemented by empirical analysis, to delve into enterprise cybersecurity information sharing strategies. Utilising a thorough cost-based analysis, we scrutinise the cybersecurity costs and security levels within enterprises, leading to the identification of three core cybersecurity strategie...

Virtual live shopping platforms (VLSPs) are an innovative form of intelligent shopping DSS that offer brands novel opportunities to interact with customers. However, the impact of VLSPs on purchase intention and underlying mechanisms remains unexplored. Therefore, focusing on VLSPs' technical features is crucial for designing and developing their f...

Purpose The global prevalence of social media and its potential to cause polarization are highly debated and impactful. The previous literature often assumes that the ideological bias of any media outlet remains static and exogenous to the polarization process. By studying polarization as a whole from an ecosystem approach, the authors aim to iden...

One of the most pernicious and pervasive threats to the integrity of governments, economies, and societies worldwide is the insidious and corrosive influence of corruption. E-government, everywhere, is expected to play a pivotal role in combating corruption. Nevertheless, academic research has yielded varying outcomes. To address the inherent varia...

The success of any small-scale business depends on its online presence and visibility. An objective measure for Search Engine Optimisation techniques will help small business adopt effective optimisation strategies. Existing performance measures for SEO focus on traditional search algorithms that work on websites catering to a global audience. This...

This study investigates the impact of pre-COVID-19 organizational ambidexterity, digital capabilities, and organizational resilience on firms’ innovation behavior post the second COVID-19 wave. Utilizing World Bank business surveys from 2019 and COVID follow-up surveys in 2020 and 2021 across 21 countries (8,928 firms), we employ partial least squa...

This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing L...

The acquisition and sharing of reviews have significant ramifications for the selection of crowdsourcing designs before mass production. This article studies the optimal decision of a brand enterprise regarding the acquisition/sharing of crowdsourcing design reviews in a supply chain. The authors consider an analytical model where the brand enterpr...

The significant market volatility in the digital economy has demanded businesses to rapidly adapt their e-commerce strategies. This study examines how market volatility in the digital economy impacts e-commerce strategies, focusing on the hospitality industry in New Zealand. It analyses the role of online-to-offline platforms, digital capabilities,...

Purpose This study aims to provide a comprehensive analysis of the current privacy concerns in the tourism industry by uncovering the key factors leading to such concerns (i.e. smart public services, cyber security issues, consumer behaviour and governance). Using papers from multiple sources, the relationship between technology advancements and to...

Market uncertainty greatly interferes with the decisions and plans of market participants, thus increasing the risk of decision-making, leading to compromised interests of decision-makers. Cotton price index (hereinafter referred to as cotton price) volatility is highly noisy, nonlinear, and stochastic and is susceptible to supply and demand, clima...

To achieve breakthrough innovation, firms often need to acquire complementary knowledge from cross-industry actors in the innovation ecosystem, where unique and supermodular complementarities make knowledge exchange essential for value co-creation. This study examines the impact of the acquisition of knowledge transfer on breakthrough innovation by...

Gamification is a strategy, methodology, or activity that has picked up pace over time and has been successfully deployed in organizations. Despite massive efforts to capture the success of the deployment of gamification in implementing innovation, its failure in this regard has hitherto been ignored. Until recently, it has been difficult to unders...

Drawing on institutional theory and the dynamic capability view, this research explores the relationship between climate change adaptation (CCA) capability and firm performance and the mediating role of the marketing capability of a business-to-business (B2B) firm. To test the theoretical model developed in this study, data are collected from a dev...

Based on AI technology, this study proposes a novel large-scale emergency medical supplies scheduling (EMSS) algorithm to address the issues of low turnover efficiency of medical supplies and unbalanced supply and demand point scheduling in public health emergencies. We construct a fairness index using an improved Gini coefficient by considering th...

Political ties and information technology (IT) are critical elements of a company's socio-technical system that can improve sustainability. This study empirically investigates how political ties and IT influence supply chain social responsibility and sustainable performance using survey data collected from 216 Chinese manufacturing companies. We co...

Purpose There has been limited research that has explored the connection between digital supply chain (DSC) and SC innovation and SC dynamic capabilities. This paper aims to examine the mediating effect of SC innovation on the relationship between DSC and SC dynamic capabilities. Design/methodology/approach The research model and hypotheses were t...

Combating climate change and reducing carbon dioxide emissions are serious challenges shared by countries around the world. In the current era, digitalization has a significant impact on CO2 emissions. However, prior studies have not assessed the synergy between digitalization and industrialization on carbon emission performance. The principal comp...

Purpose The enormous amount of waste generated and the scarcity of natural resources worldwide have encouraged societies and industries to adopt the Circular Supply Chain (CSC) concept. With a focus on zero-waste generation, Circular Economy (CE) mimics the ecosystem cycle as an alternative to the traditional linear economic model. This paper aims...

Purpose This paper aims to propose a research model with eight constructs, i.e. BDA leadership, BDA talent quality, BDA security quality, BDA privacy quality, innovation, financial performance, market performance and customer satisfaction. Design/methodology/approach The research model focuses on whether (1) Big Data Analytics (BDA) leadership in...

Climate change is causing profound changes in energy and power systems around the world. Although many papers have confirmed the impact of environmental weather on electricity demand, the complex nexus of regional environmental temperature and electricity demand instability remains incomplete, especially neglecting the understanding from the perspe...

Purpose The coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to the global labor market, resulting in a rapid transition toward remote work, e-commerce and workforce automation. This shift has sparked a considerable amount of public discussion. This study aims to explore the online public's sentiment toward remote work am...

Artificial Intelligence (AI) can enter organizations and become AI teammates in organizational teams, posing new challenges to organizational form, team management, and team working patterns. Establishing an efficient "human-AI team" requires an organization and its members to have superior digital capabilities and develop effective capability impr...

Purpose This paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response. Design/methodology/approach The authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain o...

Today, social commerce is one of the most rapidly growing subsectors of e-commerce, creating new opportunities for brands of all types and sizes. However, despite its popularity and potential, social commerce faces significant challenges, including issues of privacy, trust and ethics. This paper sets out to identify key aspects of privacy which inf...

Purpose This study aims to examine the joint effect of internal quality integration and product innovation on financial performance by considering the mediating roles of incremental and radical product innovation. Design/methodology/approach A theoretical framework was developed using the organizational capability view. Based on empirical survey d...

With the rapid development of technology, social media as a communication platform has caused a significant increase in the dissemination of false information and fake news. We propose an outlier knowledge management framework of “generation–spread–identification–refutation” for detecting fake news in emergencies based on the theory of complex adap...

This research uses signaling theory to combine the perspective of investment results with existing venture capital (VC) standards and reexamines the factors that influence the attractiveness of innovative internet tech startups to VC from the perspective of equal opportunity startups. Taking the financing status of 310 startups in China's sharing e...

Purpose The growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that creates value for employees and organizations. By examining the existing studies on HR analytics, the paper systematically reviews the literature to identify active...

One of the major global challenges that most affect the world economies are geopolitical risks triggered by tensions arising from exploiting natural resources. This paper attempts to study the influences of global governance indicators (voice and accountability, political stability and absence of violence/terrorism, the rule of law, government effe...

Purpose Despite rapid growth in blockchains, there was limited discussion about non-technical and technical factors on blockchain governance in the extant literature. This study aims to contribute new knowledge to the literature on potential factors affecting the adoption, governance and scale-up of blockchain technologies in the health-care and e...

Servitization is vital to manufacturing enterprises’ competitive advantages and financial performance in contemporary digitalisation environments. Enterprises are increasingly relying on industrial Internet platforms to satisfy potential customers’ needs as well as to create superior value, but the literature has neglected to explain how enterprise...

The concept of Society 5.0, first introduced by Japan in 2016, has become a widely accepted model for the development of social infrastructures across the world. It is a model which is expected to take root globally over the next few years. It is also a model which has smart cities, which are connected and inclusive, at its core. The role of open d...

The use of technology-driven applications has become widespread in the development and distribution of products and services. In our study, we aim to investigate the role of digitalization in establishing business sustainability within the shipping industry, using a sample of Chinese listed firms. Specifically, we examine how digitalization impacts...

Purpose The rise of the mobile Internet has accumulated much text information in various online financial forums. Such information often contains the emotional attitudes of investors toward financial technology (fintech) platforms, so extracting the sentimental tendency information has great practical value for the development of fintech platforms...

E-commerce customers’ demands for delivery services have become more personalized, diversified, and complex. In this paper, we conduct cluster analysis on the customer demand attributes resulting in a list of attributes including quantitative and qualitative expectations that can be relevant for creating efficient distribution routes taking into ac...