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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 findings suggest that perceived usefulness, trading partners' pressure, and competitive pressure are the most important determinant of behavioral intention. © 2023 Taylor & Francis.
ABSTRACT
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 social networking sites (SNS). However, sweeping generalizations run the risk of helping exacerbate divisiveness in already polarized societies. This study examines the effects of individuals' political beliefs and espoused cultural values on fake news believability using a repeated-measures design (that exposes individuals to a variety of fake news scenarios). Results from online questionnaire-based survey data collected from participants in the US and India help confirm that conservative individuals tend to exhibit increasing fake news believability and show that collectivists tend to do the same. This study advances knowledge on characteristics that make individuals more susceptible to lending credence to fake news. In addition, this study explores the influence exerted by control variables (i.e., age, sex, and Internet usage). Findings are used to provide implications for theory as well as actionable insights. © 2022 The Author(s)
ABSTRACT
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, government accountability, and creating a more open environment is well understood. Despite this, different countries have shown varying degrees of digital responsiveness during the pandemic as they attempted to deal with the effects of various COVID strains. The influence of government policies on the supply chain has not been examined in the literature so far and, hence, to address this research gap, we examine the interaction effect of government support effectiveness i.e., tax credits, interest deferral, digital investment, soft loans on dynamic capabilities i.e., digital adaptabilities and digital agilities and on supply chain resilience, using a multi-method approach. To understand how digital adaptability and agility improve supply chain resilience, we conducted 13 semi-structured interviews. Additionally, we pretested our measurement instrument using qualitative semi-structured interviews to validate our hypothesized relationships. We collected data at a specific point of time using a survey-based instrument (N = 203) to address our research questions. Based on data analyses of both the qualitative and survey-based data, our findings indicate that digital adaptability is an important driver of digital agility. Furthermore, the results indicate that government effectiveness is crucial to enhancing supply chain resilience by enhancing digital adaptability and agility. Our research makes some useful contributions to the dynamic capability view by enhancing theoretical understanding, of the role of government in building digital capabilities in uncertain times, to improve supply chain resilience. It also bridges the research gaps between macro and micro perspectives, as identified by management scholars. Lastly, we noted the weaknesses and limitations in the study and therefore we have offered multiple research directions forward, that could help researchers to further develop our current work. © 2023 The Authors
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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 conducted in the early stages of the lockdown, this short paper aims to highlight findings that not only suggest that individuals struggled with managing technology and work, but also that individuals were beginning to develop more control over their use of technology. This short paper ends by highlighting future research that the authors aim to develop. © 2022, IFIP International Federation for Information Processing.
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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, sports organizations, sponsors and more during COVID-19. UEFA Euro 2020 was conducted across 12 countries with an intent to show unity and bring normalcy in sports business during the third wave of COVID-19. Hashtag analysis and mention analysis have been performed to find sports teams, athletes or other stakeholders that were directly being discussed about by the fans. We also focused on tweet context annotations that provide entities as pairs of domain and entity collected from tweets’ text. Our results indicated that hashtags and mentions alone cannot substantially justify the popularity of any entity. Thus, from the point of view of identifying any athlete, team, organization or any sponsor as a brand, tweet context annotations can be valuable from the perspective of E-Branding, E-Marketing and E-Commerce. © 2022, IFIP International Federation for Information Processing.
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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 Internet. This study propose an integrated theoretical model to explore the relationship between COVID-19 protocols and perceived online trust with online health information seeking intention (OHISI) and a moderating effect of perceived severity and perceived urgency. Design/methodology/approach Data are collected from 325 athletes in the category of individual and team sports through an online survey in a Likert-scale questionnaire. The analysis is performed with a quantitative methodology. Findings The study reveals the bright side of online health information (OHI), which brings athletes together and has played out with virtual happy hours, meetings and events. The bright side of OHI reflects social, cultural, technological and economic benefits. An OHI chatbot offers bright personalised side information to the individual seeker, which is more convenient and efficient than human capabilities. Originality/value The pivotal contribution is the integrated theoretical framework that is derived from multidisciplinary literature to capture the complexity of OHI. Also, it conceptualises the constructs in the context of OHI and COVID-19.
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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 contractual basis (e.g. within the education and healthcare sectors). This so-called ‘new normal’ has also given rise to an unprecedented increase and diffusion of digital workforces being engaged either full or part time within organizations. Thus, through our study, we aimed to contribute from a theoretical standpoint by exploring this phenomenon through the lenses of swift trust theory (STT) and psychological contract theory (PCT). Our goal was to understand how firms use gamification to engage their digital gig workforce. We collected our data from organizations that used some form of gamification in the process of engaging their employees and extended our inquiry to understand whether they did the same in engaging their gig workforces. We restricted our data to only those firms that had engaged white-collar gig workers. Overall, our study contributes to the literature by extending the theoretical debate pertaining to the use of STT and PCT theory to understand the phenomenon of digital gig workforce engagement and productivity. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
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The global COVID-19 outbreak and consequent lockdown pushed consumers to engage in more e-shopping, which could lead to e-impulse purchases (e-IB). The purpose of this study is to investigate the interrelationships between e-impulse buying tendencies (e-IBT), e-impulse buying (e-IB), and customer satisfaction empirically (CS). The customers' intent to continue e-shopping is also investigated. Data was collected from 580 consumers in India's Union Territory of Delhi using a standardized instrument. The psychometric features of the research survey instrument were first verified using the LISREL Structural Equation Modeling Package. Hayes (2018) PROCESS was used to evaluate the moderated mediation model and hypotheses. The association between e-IBT and CS was empirically demonstrated to be mediated by e-IB. Furthermore, e-IBT is associated to e-IB in a good way. Furthermore, e-IB is positively connected to CS, indicating that consumers intend to continue shopping online. The findings also show that the e-IBT interacts with the website (first moderator) and stimulants and promotions (second moderator) to significantly influence the e-IB. Further, hedonic motives modify the e-IB-CS relationship. © 2021 Elsevier Inc.
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Purpose The hospitality industry experienced an unanticipated challenge from the COVID-19 pandemic. However, research in this area is scarce. Accordingly, this study aims to unfold a three-angled research agenda to intensify the knowledge advancement in the hospitality sector. It proposes a theoretical framework by extending the protection motivation theory (PMT) to explain the guest's intent to adopt artificial intelligence (AI) and robotics as a protective measure in reaction to COVID-19. Design/methodology/approach The research is centered on outlining the pertinent literature on hospitality management practices and the guest's transformed behavior during the current crisis. This study intends to identify a research agenda based on investigating hospitality service trends in today's changing times. Findings The study sets out a research agenda that includes three dimensions as follows: AI and robotics, cleanliness and sanitation and health care and wellness. This study's findings suggest that AI and robotics may bring out definite research directions at the connection of health crisis and hospitality management, taking into account the COVID-19 crisis. Practical implications The suggested research areas are anticipated to propel the knowledge base and help the hospitality industry retrieve the COVID-19 crisis through digital transformation. AI and robotics are at the cusp of invaluable advancement that can revive the hotels while re-establish guests' confidence in safe hotel practices. The proposed research areas are likely to impart pragmatic lessons to the hospitality industry to fight against disruptive situations. Originality/value This study stands out to be pioneer research that incorporated AI and robotics to expand the PMT and highlights how behavioral choices during emergencies can bring technological revolution.
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Artificial Intelligence (AI) as a technology has the potential to interpret and evaluate alternatives where multidimensional data are involved in dynamic situations such as supply chain disruption. This article aims to explore the role of resilient information systems in minimizing the risk magnitude in disruption situations in supply chain operations. The article is conducted in the qualitative mode through a semistructured interview schedule for professionals of supply chains. A thematic analysis has been used to create emerging categories. The findings of this article present critical gaps in current information systems and demonstrate how AI-oriented systems can facilitate the ecosystem of disrupted supply chains to save costs and drive efficiency on multiple parameters. The article also proposes a conceptual framework where organizational values and architectural components can be viewed jointly for quick and adequate business decisions in complex and uncertain disruptions. The framework presents the relationships among AI, information systems, and supply chain disruption. Installing appropriate AI-based data acquisition, processing, and self-training capabilities along with information system infrastructure can help organizations lessen the impact of supply chain disruption while aligning the transportation network and ensuring geographically suitable supply chains and cybersecurity. Finally, the implications for theory and practice with the limitations and scope for future research are described. IEEE
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Purpose The hospitality industry experienced an unanticipated challenge from the COVID-19 pandemic. However, research in this area is scarce. Accordingly, this study aims to unfold a three-angled research agenda to intensify the knowledge advancement in the hospitality sector. It proposes a theoretical framework by extending the protection motivation theory (PMT) to explain the guest's intent to adopt artificial intelligence (AI) and robotics as a protective measure in reaction to COVID-19. Design/methodology/approach The research is centered on outlining the pertinent literature on hospitality management practices and the guest's transformed behavior during the current crisis. This study intends to identify a research agenda based on investigating hospitality service trends in today's changing times. Findings The study sets out a research agenda that includes three dimensions as follows: AI and robotics, cleanliness and sanitation and health care and wellness. This study's findings suggest that AI and robotics may bring out definite research directions at the connection of health crisis and hospitality management, taking into account the COVID-19 crisis. Practical implications The suggested research areas are anticipated to propel the knowledge base and help the hospitality industry retrieve the COVID-19 crisis through digital transformation. AI and robotics are at the cusp of invaluable advancement that can revive the hotels while re-establish guests' confidence in safe hotel practices. The proposed research areas are likely to impart pragmatic lessons to the hospitality industry to fight against disruptive situations. Originality/value This study stands out to be pioneer research that incorporated AI and robotics to expand the PMT and highlights how behavioral choices during emergencies can bring technological revolution.
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With the rapid adoption of homeworking by organisations across the world owing to Covid-19, employees have been separated from their informal, social networks in the traditional office space. This paper explores how individuals maintain social interaction with colleagues when working remotely. A diary study technique was employed and snowball sampling was used. Initial results from the diaries of 29 participants are presented. The findings highlight various challenges that homeworkers face, including task-related inefficiencies relating to technology-enabled communications in the absence of face-to-face interaction. The paper ends by briefly highlighting how the study analysis will proceed. © 2020, IFIP International Federation for Information Processing.
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With the outbreak of COVID-19, contact tracing is becoming a used intervention to control the spread of this highly infectious disease. This article explores an individual's intention to adopt COVID-19 digital contact tracing (DCT) apps. A conceptual framework developed for this article combines the procedural fairness theory, dual calculus theory, protection motivation theory, theory of planned behavior, and Hofstede's cultural dimension theory. The study adopts a quantitative approach collecting data from 714 respondents using a random sampling technique. The proposed model is tested using structural equation modeling. Empirical results found that the perceived effectiveness of privacy policy negatively influenced privacy concerns, whereas perceived vulnerability had a positive influence. Expected personal and community-related outcomes of sharing information positively influenced attitudes toward DCT apps, while privacy concerns had a negative effect. The intention to adopt DCT apps were positively influenced by attitude, subjective norms, and privacy self-efficacy. This article is the first to empirically test the adoption of DCT apps of the COVID-19 pandemic and contributes both theoretically and practically toward understanding factors influencing its widespread adoption. IEEE
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Purpose The study aims to develop a theoretical model that highlights the determinants of the adoption of online teaching at the time of the outbreak of COVID-19. This study adopted a time-series analysis to understand the factors leading to the adoption of online teaching. Design/methodology/approach Empirical data were gathered from 222 university faculty members by using an online survey. In the first phase, data were collected from those faculty members who had no experience of conducting online classes but were supposed to adopt online teaching as a result of the COVID-19 pandemic and subsequent lockdown. After two weeks, a slightly modified questionnaire was forwarded to the same group of faculty members, who were conducting online classes to know their perception regarding the adoption and conduct of online teaching. Findings Both the proposed conceptual frameworks were investigated empirically through confirmatory factor analysis and structural equation modeling. Significant differences were found in the perceptions of faculty members regarding before and after conducting classes through online teaching. Originality/value This study contributes to the literature by presenting and validating a theory-driven framework that accentuates the factors influencing online teaching during the outbreak of a pandemic. This research further extends the unified theory of acceptance and use of technology by introducing and validating three new constructs, namely: facilitative leadership, regulatory support and project team capability. Based on the findings, practical insights are provided to universities to facilitate adoption, acceptance and use of online teaching during a health-care emergency leading to campus lockdowns or the imposition of restrictions on the physical movement of people.