Yogesh Kumar Dwivedi

Yogesh Kumar Dwivedi
Swansea University | SWAN · School of Management

PhD (Brunel University London)

About

758
Publications
432,587
Reads
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37,962
Citations
Citations since 2017
399 Research Items
33967 Citations
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Publications

Publications (758)
Article
Fake news has led to a polarized society as evidenced by diametrically opposed perceptions of and reactions to global events such as the Coronavirus Disease 2019 (COVID-19) pandemic and presidential campaigns. Popular press has linked individuals’ political beliefs and cultural values to the extent to which they believe in false content shared on s...
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Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistin- guishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts...
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Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts f...
Article
Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT) and the dynamic capability model to build the con...
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The impact of pandemics on the tourism industry should be explored from the perspective of those who will travel, go to the tourist places on vacation, and avail services from tourism and hospitality-related organizations. This study has aimed to identify the reasons for the changed human psychology towards tourism during the COVID-19 Pandemic to d...
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Drawing upon the Stimulus-Organism-Response Theory and Flow Theory, this study aims to investigate the effects of environmental stimuli that are unique to the mobile multiplayer online battle arena (MOBA) environment (i.e., immediacy, social interaction, and competition) in inducing the state of flow, which is expected to be the basis of online gam...
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This paper employed an integrated model for examining behavioral intention to adopt blockchain technology in the supply chain management of manufacturing industries in Bangladesh. The proposed conceptual model was empirically tested using data collected from 189 supply chain managers working in manufacturing organizations in Bangladesh. The finding...
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The term metaverse is described as the next iteration of the Internet. Metaverse is a virtual platform that uses extended reality technologies, i.e. augmented reality, virtual reality, mixed reality, 3D graphics, and other emerging technologies to allow real-time interactions and experiences in ways that are not possible in the physical world. Comp...
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Purpose The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform...
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This study extends the post-acceptance model of information systems (IS) continuance, which is widely used to explain users’ satisfaction and IS continuance intentions. The extended model includes additional variables such as perceived ease of use (PEOU), attitude, trust, and enjoyment. The proposed model was tested using meta-analytic structural e...
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The nonfungible token (NFT) marketplace spiked in the recent past. The concept originated initially as a token standard of Ethereum, an open-source blockchain with smart contract functionality, where each token is characterized by distinguishable signs. These types of tokens have unique digital properties that allow their distinct identification. N...
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Purpose This paper aims to explore the overall research question “How can artificial intelligence (AI) influence consumer information disclosure?”. It considers how anthropomorphism of AI, personalisation and privacy concerns influence consumers’ attitudes and encourage disclosure of their private information. Design/methodology/approach This rese...
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Organizations in recent times are increasingly investing in building supply chain resilience following disruptions due to natural disasters, geo-political crises, and pandemics. A lack of government support has exacerbated the disruption to supply chains in some regions of the world. The positive influence of digitalization on social inclusion, gov...
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Purpose Legacy organizations, particularly government departments, have always remained focused on technology acquisition at a low cost. However, they must balance their quest for better financial performance with a commitment to social obligations and inclusiveness. This study aims to analyze the issues faced by a public sector department, India P...
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This paper investigates the antecedents and consequences of electronic word of mouth (eWOM) credibility using a meta-analysis technique. The extant literature provides inconsistent findings related to eWOM credibility. These inconsistencies are primarily because of methodological differences or heterogeneity among previous studies, which leads to c...
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Deepfakes—artificial but hyper-realistic video, audio, and images created by algorithms—are one of the latest technological developments in artificial intelligence. Amplified by the speed and scope of social media, they can quickly reach millions of people and result in a wide range of marketplace deceptions. However, extant understandings of deepf...
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This study investigates the presence, direction, and scale of bias in investors' consideration of qualitative information signals while appraising new venture proposals through a meta-analysis of 75 empirical studies published between 2000 and 2020. Our results suggest that investors evaluate different information signals differently owing to their...
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Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes related to early detection and diagnosis. Previous studies suggest that AI can raise the qu...
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Purpose Given the acute competition between music-streaming platforms (MSPs), the purpose of this study is to identify the relational motivators of brand loyalty towards the MSP in terms of user-brand involvement, brand trust, brand engagement, brand recommendation and brand loyalty. Design/methodology/approach Cross-sectional quantitative data, g...
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Purpose Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects. Design/method...
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Social media (SM) fake news has become a serious concern especially during COVID-19. In this study, we develop a research model to investigate to what extent SM fake news contributes to supply chain disruption (SCD), and what are the different SM affordances that contribute to SM fake news. To test the derived hypotheses with survey data, we have a...
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The initial hype and fanfare from the Meta view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse’s impact on users and organisations but also the societal and cultural implications of widespread usage. The potential of consumer interaction with brands within the metaverse has engendered...
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As electronic transactions between governments and users become increasingly common, the role of users’ trust in e-government assumes considerable importance. While prior models of technology acceptance have identified several factors that influence behavioral intention and use behavior, trust has largely been missing in such models. This study inc...
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Big data analytics (BDA) has recently gained importance as an emerging technology for handling big data. The use of advanced techniques with differing levels of intelligence, such as descriptive, predictive, prescriptive, and autonomous analytics, is expected to create value for firms. By viewing BDA as a sociotechnical system, we conduct a meta-an...
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Based on organizational socialization frameworks used to study newcomers' journey of adaptation from outsiders to insiders, this study develops an evolutionary model to examine their socialization in virtual settings. Extending the existing literature, the proposed model views organizational socialization as a cumulative process that allows the imp...
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This editorial provides an overview of this Special Issue of Technological Forecasting & Social Change on “Social Customer Journey - Behavioural and Social Implications of a Digitally Disruptive Environment”, bringing together insights from the papers accepted for inclusion in this special issue. Fifteen articles on a variety of topics relevant to...
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Purpose The evolution of modern digitalization technologies necessitates the development of a competitive digital supply chain quality management (SCQM) strategy by manufacturers. Using the new institutions and institutional theory (IIT), the study research first aims to identify the most important SCQM practices that can influence competitive perf...
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Although a rich body of knowledge exists in the domain of gamification of advertising, no research emphasis has been given to compare the persuasive effects of two well‐known gamification formats—in‐game advertising and advergame. Also, we do not know much about their comparative effects on child and adult gamers. The present research fills these g...
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While the importance of s-commerce is implicitly recognized, inconsistencies in extant empirical research pose significant challenges. Based on perspectives from trust, social presence, and socio-technical theories, this study develops an integrated model of the factors that influence intention and use behavior, with particular attention to the rol...
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Every aspect of human activities has been influenced by social media, but how this influence is affecting individual decision making in different context had not been studied yet. This article tries to investigate social media influences at individual level with respect to different contexts such as organization, marketplace, and social environment...
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Anthropogenic activities over the past few decades have led to increased vulnerability of environmental and ecological stability on this planet. Accelerated climate change is one such subset of the environmental problems that threatens the very existence of humankind in twenty first century. Governments, United Nations (UN) and other humanitarian a...
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Purpose Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performan...
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Discontinuance intention has been reported as a major concern in the context of manufacturing SMEs. This study examines why user SMEs decide to discontinue the incumbent technology. The study employed the theoretical lens of diffusion of innovation theory, disenchantment-enchantment model, and technology-organization-environment model to develop an...
Chapter
As the world aims to start ‘getting back to normal’ following the hopeful decline of the pandemic, many organisations and employees are questioning whether they will ever return to the old normal, where work for many was conducted within a designated office space. Drawing upon data from a wider study utilizing diary data of 29 participants that was...
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Social media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. The aim of this study was to perform a bibliometric analysis of the current literature from Scopus database to discover the prevalent trends and topics related to communication regarding he...
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Based on the Stimulus Organism Response theory, this study develops and tests an integrative model that examines, for the first time in the consumer revenge literature, how online acts of revenge influence other consumers present on social media to do the same. This study examines the mediating role of message trustworthiness to better explain the...
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This study seeks to explain why telecom customers would continue to use mobile value-added services (MVAS), including information, communication, entertainment, and transaction services. We developed a model based on the S-O-R paradigm and existing research on MVAS and mobile service quality, in which we hypothesize that customers' intention to con...
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With the rapid evolution of data over the last few years, many new technologies have arisen with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite power, holds the potential to transform patient healthcare. Given the gaps revealed by the 2020 COVID-19 pandemic in healthcare systems, this research i...
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Government social media has been integrated as part of the government administrative tools to improve public service and promote public goals. However, the current government information literature is limited to understanding government social media adoption and its purpose for political marketing. The present study seeks to understand the role of...
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Although mobile payment services are unlikely to become obsolete, their market dominance has been challenged following the intensified market competition. A research model is developed to uncover the drivers of users’ hedonic and utilitarian motivations (i.e., application, marketing, and internal stimuli) as the key to fostering satisfaction and co...
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Monitoring buyer experience provides competitive advantages for suppliers as buyers explore the market before reaching a salesperson. Still, not many B2B suppliers monitor their buyers’ expectations throughout their procurement journey, especially in MSMEs and SMEs. In addition, the inductive research on evaluating buyer experience in buyer–supplie...
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The theory of planned behavior (TPB) is popular in social commerce research, but existing studies have yielded inconclusive and inconsistent findings. As TPB was developed before the introduction of the Internet, Web 2.0 technologies, and social media, it is time to evaluate whether its relevance, effectiveness, novelty, and parsimony may have dete...
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Artificial Intelligence and Analytics (AI&A) are used in various application areas ranging from online entertainment to healthcare. The goal of this Special Issue is to focus on how AI&A are used in practice to assist organisations to create economic value, support decision making, transforming them, and enhance employees’ skills such as communicat...
Chapter
This research presents a comprehensive understanding of AI in the public sector based on a review of 78 studies. The literature review indicates that an AI-analytical model and AI-based automation system are mostly used at the organizational level whilst AI-recommender and chatbot applications are implemented within the citizens’ services context....
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Post COVID-19 pandemic, sports events and sports activities have been severely affected. The mega sports events were either postponed or held in the absence of live audience. Through this study we investigate the progressive use of social media by fans and other stakeholders to express their support to favorite sports teams, athletes, coaches, spor...
Chapter
Information plays an important role in consumer’s decision-making process. Adoption of electronic word of mouth (eWOM) communications can change consumers’ attitudes, and, as a result, have an impact on their purchase decisions. Researchers have investigated factors affecting credibility and usefulness of eWOM, which can help to predict eWOM adopti...
Article
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is ever more reflected in scholarly work. To illustrate, assess and map research at the intersection of AI and innovation, we performed a Systematic Literature Review (SLR) of published work indexed in the Clarivate Web of Science (WOS) and Elsevier Scopus d...
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What would make the “elusive” green consumer actually choose sustainable products? This research draws from “dopamine hypothesis of reward” to demonstrate that physical activity/exercise (regular and immediate) is a vital factor in determining consumers' sustainable behaviors. More specifically, it examines the role of physical activity/exercise on...
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This study attempts to understand the role of artificial intelligence-driven big data analytics capability in humanitarian relief operations. These disasters play an important role in mobilizing several organizations to counteract them, but the organizations often find it hard to strike a fine balance between agility and resilience. Operations Mana...
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Purpose – In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large n...
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Purpose The crowdfunding concept and activities have recently been the focus of attention of many researchers and practitioners over different business contexts. However, there is a dearth of literature considering the main aspects of e-equity crowdfunding activities and their impact on the innovation performance for entrepreneurial business. There...
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While a plethora of studies on gamification of advertising exists, little is known about how consumers process different types of brand elements (logos and names) placed in computer games, and whether differences in information processing lead to variations in brand memory. This gap is addressed by conducting three rigorous experiments. In Study 2...
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A growing body of evidence indicates that implementing artificial intelligence (AI) at scale can improve market performance in B2B settings by accelerating decision-making process. Despite its popularity in the B2B sector, there have been few academic studies about this phenomenon in the context of industrial markets. Currently, AI research focuses...
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This study proposes and empirically tests a contextualized model for investigating repurchase intentions of e-commerce consumers as well as their word-of-mouth (WOM) intentions in high uncertainty avoidance cultures and on a synthesis of the S–O-R paradigm and Information Processing Theory (IPT). Data for the study were collected from 560 Jordanian...
Article
The power of livestreaming commerce to rake in billions of revenues within hours has thrust this nascent commercial model into the global spotlight; that said, despite the prevalence of impulsive buying in livestreaming commerce, the existing knowledge regarding the phenomenon remains relatively scarce. This research seeks to unravel the critical d...
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Forecasting energy demand has been a critical process in various decision support systems regarding consumption planning, distribution strategies, and energy policies. Traditionally, forecasting energy consumption or demand methods included trend analyses, regression, and auto-regression. With advancements in machine learning methods, algorithms su...
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The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (such as, Second Life, Fortnite, Roblox and VRChat) have been described as antecedents of the...
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During a disaster, a large number of disaster-related social media posts are widely disseminated. Only a small percentage of disaster-related information is posted by eyewitnesses. The post of a disaster eyewitness offers an accurate depiction of the disaster. Therefore, the information posted by the eyewitness is preferred over the other source of...
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Purpose Blockchain technology (BCT) can be used for a wide variety of applications across domains and can bring many benefits. BCT-based applications can be beneficial for the government as well as businesses. Despite the many promises, BCT implementation lags behind. The purpose of this research is to identify a roadmap of critical implementation...
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Purpose The Internet is used as a tool to seek health information by individuals. Mental health concerns are the high prevalence of the novel coronavirus disease 2019 (COVID-19) and preventive steps are required to curb the illness. Therefore, to gain more insight into health concerns, it is now a common practice to seek health information on the I...
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Purpose Understanding what organizational factors enable a successful social media presence is a relevant issue for academics and practicing managers. The purpose of this investigation is to thus develop and validate a scale to measure a social media marketing system (SMMS). Design/methodology/approach This paper follows a rigorous scale developme...
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The rise of sharing economy has accelerated the growth of marketing analytics to match demand and supply in industrial markets. However, the conceptualization of marketing analytics remains unclear in the sharing economy. Theorizing market turbulence as the dark side of the sharing economy, this study presents a marketing analytics capability model...
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Purpose This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty. Design/methodology/approach Service quality dimensions are identified from vast literature review. Customers who take services from LSPs were surveyed to collect d...
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This study explores a range of organizational factors that drive success in organizational level information technology (IT) innovation adoption. A comprehensive model of organizational level IT innovation adoption is presented based on a context-mechanism-outcome perspective and by drawing on relevant theories. The proposed model is empirically te...
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Purpose This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation. Design/methodology/approach The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. Th...
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The COVID-19 global pandemic has transformed work and employment patterns within organizations. Two key emerging trends visible at the organization level are as follows. First, employees being asked to leave (which has mostly been seen within the aviation, hospitality, and travel industries) and second, employees asking to work part-time or on a co...
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Co-production and active participation of the consumers are considered to have enhanced the value co-creation activities that would ensure business benefits of a firm. The marketing literature available does not explicitly explain the philosophy that would motivate the consumers to help to increase values for co-creation activities. In this context...
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Purpose Although knowledge based on business intelligence (BI) is crucial, few studies have explored the core of BI knowledge; this study explores this topic. Design/methodology/approach The authors collected 1,306 articles and 54,020 references from the Web of Science (WoS) database and performed co-citation analysis to explore the core knowledge...
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This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to dynamically react to volatile environments, and alleviate potentially costly decision-makings for small-medium enterprises (SMEs). Building on a resource-based view, this work examines the impact of AI on SC risk management for SMEs. A structural model com...
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Understanding of consumer behavior, their changing demands due to increase in social interactions and communications, adoption of latest technologies over existing products have always been a set of fundamental activities for the firms. Keeping the objective of minimum process disruptions and discouraging product proliferation, firms always endeavo...