The COVID-19 pandemic has had a substantial impact on the retail industry around the globe, including in the vast market of India. The response to the pandemic required stores to close and develop new ways to approach shoppers more efficiently. The worldwide usage of social media enabled the growth of social commerce. Influencers on s-commerce platforms use live broadcasting on their channels to promote endorsed products. The features of s-commerce influencers enhance users' trust in the online community and s-commerce intention, (...) impacting their online purchasing intentions. In this study, we collected data from 379 Indian consumers to test the measurement and structural model using Partial Least Square-Structural Equation Modeling to verify our conceptual framework. We found that trust in the online community and s-commerce intention are antecedents of online purchase intentions. Additionally, the results demonstrate that trust in Indian social media influencers and s-commerce intentions are vital for boosting consumers' purchase intention, verifying the hypothesized mediating effect of these factors. Based on these results, we suggest several managerial actions that could enhance the value of s-commerce for franchises, executives, e-retailers, and e-marketplaces. (shrink)

Environmental sustainability has become the need of the hour and has been emphasized immensely because of the increased environmental awareness and resulting problems caused due to negligence. This study has intended to determine the role of knowledge management practices in achieving a sustainable environment with the mediating role of environmental awareness and green technological use. The study further examined the moderating role of green innovative culture between the relationship of KM practices and a sustainable environment. The data were acquired from (...) 378 managerial level personnel of the construction industry in China through questionnaires. Smart-PLS 3.3.3 was used to determine the study's hypothesis through the structural equation modeling technique. The study found that KM practice has a significant relationship with a sustainable environment, environmental awareness, and green technological use. Also, environmental awareness has a significant effect on a sustainable environment. Moreover, it was found in the study that environmental awareness significantly mediated the relationship between KM practices and sustainable environment, but green technological use did not find any mediating effect on the relationship between KM practices and sustainable environment. Furthermore, green innovative culture considerably moderated the relationship between KM practices and a sustainable environment. Theoretically, this study contributes to the existing literature by incorporating and investigating the role of KM practices in a sustainable environment. Practically, this article presented some implications for the management concerning promoting KM practices and environmental awareness within the organization and developing a green innovative culture. (shrink)

Customers are skeptical about shopping online because e-commerce environments are typically considered impersonal. To assure product quality and to enhance customer proclivity in such environments, post-sale services may be considered to alleviate customers’ skepticism. Therefore, this study’s objective is to investigate the role of an online retailer’s post-sale services on customers’ attitudinal and behavioral aspects. Structural equation modeling is applied to data collected through an online survey answered by 409 online customers of jd.com. Research findings show that product return, exchange, (...) and maintenance services are strongly predictive of online customer satisfaction, and satisfaction significantly impacts customer trust. Both customer satisfaction and trust, as indicators of relationship quality, further mediate the links between product return, exchange, and maintenance services and online customer repurchase intention. In addition, differences between male and female customers were found in various aspects of online retailers’ product return, exchange, and maintenance services. This is the first empirical study that not only examines the influence of all three dimensions of online retailers’ post-sale services on customers’ online shopping perceptions and decisions, but also considers differences between male and female customers. Finally, this research provides theoretical and managerial implications based on conceptual and empirical evidence. (shrink)

Real engines of the artificial intelligence revolution, machine learning models, and algorithms are embedded nowadays in many services and products around us. As a society, we argue it is now necessary to transition into a phronetic paradigm focused on the ethical dilemmas stemming from the conception and application of AIs to define actionable recommendations as well as normative solutions. However, both academic research and society-driven initiatives are still quite far from clearly defining a solid program of study and intervention. In (...) this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions. Starting with a quick overview of the existing accounts of trust, with special attention to Taddeo’s concept of “e-trust,” we will discuss all the components of the proposed model and the reasons to trust in human-AI interactions in an example of relevance for business organizations. We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs. (shrink)

PurposeAs fake information has become the norm on the internet, it is important to investigate how skepticism impacts an individual’s attitude toward word-of-mouth (eWOM). This study examines eWOM skepticism via three dimensions: suspicion of motivation, suspicion of truthfulness and suspicion of identity. It investigates not only which of the three dimensions is more influential in eWOM situations but also the variations and relationships among these three. Furthermore, this study evaluates how an individual’s dispositional trust and perceptions regarding structural assurance can (...) impact each dimension, which in turn affects the assessment of the eWOM messages’ credibility.Design/methodology/approachUsing an online scenario-based survey, data were collected via Amazon Mechanical Turk from 195 participants in the U.S. PLS and cluster analysis were used to analyze the data.FindingsThe results reveal that the suspicion of identity play a major role in message credibility assessment and that people who are naturally less likely to trust others also hold higher suspicion of motivation and truthfulness. Further, structural assurance has significant negative effects on all three dimensions.Practical implicationsThe findings highlight the importance of enhancing the protective measures on eWOM platforms and call for stricter regulations to prevent organizations from adopting deceptive eWOM propagandas.Originality/valueThis research contributes to the literature by exploring the impact of skepticism on eWOM message credibility assessment and helping to validate this newly created construct by considering eWOM skepticism as a formative construct. (shrink)

PurposeAs fake information has become the norm on the internet, it is important to investigate how skepticism impacts an individual’s attitude toward word-of-mouth (eWOM). This study examines eWOM skepticism via three dimensions: suspicion of motivation, suspicion of truthfulness and suspicion of identity. It investigates not only which of the three dimensions is more influential in eWOM situations but also the variations and relationships among these three. Furthermore, this study evaluates how an individual’s dispositional trust and perceptions regarding structural assurance can (...) impact each dimension, which in turn affects the assessment of the eWOM messages’ credibility.Design/methodology/approachUsing an online scenario-based survey, data were collected via Amazon Mechanical Turk from 195 participants in the U.S. PLS and cluster analysis were used to analyze the data.FindingsThe results reveal that the suspicion of identity play a major role in message credibility assessment and that people who are naturally less likely to trust others also hold higher suspicion of motivation and truthfulness. Further, structural assurance has significant negative effects on all three dimensions.Practical implicationsThe findings highlight the importance of enhancing the protective measures on eWOM platforms and call for stricter regulations to prevent organizations from adopting deceptive eWOM propagandas.Originality/valueThis research contributes to the literature by exploring the impact of skepticism on eWOM message credibility assessment and helping to validate this newly created construct by considering eWOM skepticism as a formative construct. (shrink)

Astroturf organizations are fake grassroots organizations usually sponsored by large corporations to support any arguments or claims in their favor, or to challenge and deny those against them. They constitute the corporate version of grassroots social movements. Serious ethical and societal concerns underline this astroturfing practice, especially if corporations are successful in influencing public opinion by undertaking a social movement approach. This study is motivated by this particular issue and examines the effectiveness of astroturf organizations in the global warming context, (...) wherein large corporate polluters have an incentive to set up astroturf organizations to undermine the importance of human activities in climate change. We conduct an experiment to determine whether astroturf organizations have an impact on the level of user certainty about the causes of global warming. Results show that people who used astroturf websites became more uncertain about the causes of global warming and humans’ role in the phenomenon than people who used grassroots websites. Astroturf organizations are hence successful in promoting business interests over environmental protection. In addition to the multiple business ethics issues it raises, astroturfing poses a significant threat to the legitimacy of the grassroots movement. (shrink)

Zusammenfassung Hintergrund Die exponentiell wachsende Verfügbarkeit von Gesundheitsdaten bietet Forschenden ungeahnte Potenziale für Innovationen. Gleichzeitig gehen mit der Verwertung von Big Data auch große ethische Herausforderungen einher, die es zu bewältigen gilt, um den Anforderungen an verantwortungsvolle Forschung und Innovation gerecht zu werden (Gerke et al. 2020; Howe III und Elenberg 2020). Datensouveränität und die damit verbundenen Grundsätze der Selbstbestimmung und der informierten Zustimmung sind dabei zentrale Ziele. Allerdings hat deren konsistente Umsetzung enorme Konsequenzen für die Datenerhebung und -verarbeitung in (...) der Praxis. Dies trifft insbesondere angesichts einer Zunahme an Quantität und Komplexität von Daten im Gesundheitswesen zu. Denn aufgrund des Potenzials, relevante aber bisher verborgene Informationen aus der Datenmenge zu erschließen, ist eine zunehmende Anwendung von künstlicher Intelligenz (KI) in diesem Bereich zu erwarten (Jiang et al. 2017). Folglich besteht ein Bedarf an ethisch fundierten Handlungsanweisungen, die helfen, Datensouveränität und informierte Zustimmung in der klinischen Forschung umzusetzen. Material und Methoden Durch Anwendung einer narrativen Literaturrecherche in Kombination mit einem Design-Thinking-Ansatz soll das vorliegende Papier einen Beitrag zur Literatur leisten, indem die folgende Forschungsfrage beantwortet wird: Welche praktischen Anforderungen gibt es für eine konsequente Umsetzung von Datensouveränität und informierter Einwilligung im Gesundheitswesen? Ergebnisse Es wird gezeigt, dass Privatsphäre wahrende Technologien, menschenzentriert entwickelte Nutzungs- und Interaktionslösungen, erklärbare und vertrauenswürdige KI, Nutzerakzeptanz und -vertrauen, Patientenbeteiligung und eine wirksame Gesetzgebung zentrale Voraussetzungen für Datensouveränität und Selbstbestimmung in der klinischen Forschung sind. Die Bedeutung für die Entwicklung von IT-Lösungen im deutschen Gesundheitssystem wird dargelegt. (shrink)

The COVID-19 pandemic triggered the first global “Infodemic” in the era of social media. Understanding how governments deal with the negative impacts of the infodemic has become a priority. This paper uses the theoretical framework of the Elaboration Likelihood Model to explore mechanisms for alleviating panic associated with the infodemic. It considers, in particular, the quality of information circulated on Government Social Media as the central route and local government trust as the peripheral route. An empirical study was conducted using (...) data from a focus group interview and a questionnaire survey collected within the first three weeks following the citywide lockdown of Wuhan, China. The results show that as: Quality of GSM information does not significantly reduce public panic, but local government trust significantly increases people’s pandemic prevention knowledge; Pandemic prevention knowledge is a critical mediator between information quality of GSM and public panic, as well as local government trust and public panic; and Information quality of GSM significantly increases people’s trust in local governments. This paper contributes to the literature on infodemic and government social media and provides implications for practice. (shrink)

As research into identity in the information society gets into its stride, with contributions from many scholarly disciplines such as technology, social sciences, the humanities and the law, a moment of intellectual stocktaking seems appropriate. This article seeks to provide a roadmap of research currently undertaken in the field of identity and identity management showing how the area is developing and how disparate contributions relate to each other. Five different perspectives are proposed through which work in the identity field can (...) be seen: tensions, themes, application areas, research focus and disciplinary approaches and taken together they provide a comprehensive overview of the intellectual territory currently being tilled by academia on this subject. This attempt at a coherent overview is offered in the spirit of debate and discussion, and the authors invite criticism, development and improvement. Another purpose of this paper is to provide an introduction to the range and type of research that the new journal Identity in the Information Society will publish, giving researchers working in the field a clearer idea of the scope of multidisciplinary study that is envisaged. (shrink)

Customer engagement behavior is a critical success factor for community e-commerce. While many community e-commerce websites are currently improving service quality to enhance customer engagement behavior, little is known about how such e-services affect customer engagement behavior. Building upon the stimulus-organism-response model, this study developed a research model to explain how e-service quality of community e-commerce platform affects customer engagement behavior through customer trust and perceived risk. The research model was empirically evaluated by surveying 326 customers who have shopped through (...) the community e-commerce platforms. The results indicate that e-service quality positively affects customer engagement behavior. Besides, customer trust and perceived risk play a mediating role between e-service quality and customer engagement behavior. This study offers recommendations to managers on how to build an attractive community e-commerce platform to stimulate customer engagement behavior. (shrink)

Firms have been increasingly using social commerce platforms to engage with customers and support their brand value co-creation. While social commerce is now bringing a variety of benefits to business, it has also challenged marketing ethics surrounding online consumer privacy. Drawing on the trust-commitment theory, we develop a model that aims to create an ethical and trustworthy social commerce community for brand value co-creation by examining the impacts of online consumer privacy concerns and social interaction constructs on consumers’ psychological reactions. (...) Using an empirical study, we find that: privacy risk, privacy control, and collaborative norms significantly influence consumers’ trust; consumer-peer interaction and collaborative norms are positively related to relationship commitment; and relationship commitment and trust positively affect consumers’ brand value co-creation in the context of social commerce. Theoretical and practical implications are discussed. (shrink)

On reviewing the literature regarding acceptance and trust in human-robot interaction (HRI), there are a number of open questions that needed to be addressed in order to establish effective collaborations between humans and robots in real-world applications. In particular, we identified four principal open areas that should be investigated to create guidelines for the successful deployment of robots in the wild. These areas are focused on: (1) the robot’s abilities and limitations; in particular when it makes errors with different severity (...) of consequences, (2) individual differences, (3) the dynamics of human-robot trust, and (4) the interaction between humans and robots over time. In this paper, we present two very similar studies, one with a virtual robot with human-like abilities, and one with a Care-O-bot 4 robot. In the first study, we create an immersive narrative using an interactive storyboard to collect responses of 154 participants. In the second study, 6 participants had repeated interactions over three weeks with a physical robot. We summarise and discuss the findings of our investigations of the effects of robots’ errors on people’s trust in robots for designing mechanisms that allow robots to recover from a breach of trust. In particular, we observed that robots’ errors had greater impact on people’s trust in the robot when the errors were made at the beginning of the interaction and had severe consequences. Our results also provided insights on how these errors vary according to the individuals’ personalities, expectations and previous experiences. (shrink)

Blockchain technology applied to cryptocurrencies is the dominant factor in maintaining the security of cryptocurrencies. This article reviews the technological implementation of cryptocurrency and the security and stability of cryptocurrency and analyzes the security support from blockchain technology and its platforms based on empirical case studies. Our results show that the security support from blockchain technology platforms is significantly insufficient and immature. In addition, we further Zyskind and Nathan and Choi and find that the top ten platforms play critical roles (...) in security support and have significant advantages in terms of funds, duration, and human resources. Moreover, these platforms provide computational resources and benefits to the consensus algorithm selection for blockchain practitioners. Second, encryption ensures the security of cryptocurrencies. On the one hand, the digital signatures identify the identity of the signatory and the transaction. However, the principle of the hash algorithm confirms ownership. Meanwhile, SHA256 is infeasible to compute in the reverse direction and is difficult to attack. Furthermore, the records in the blockchain can be queried by every participant, making the system information transparent and open reliable. Third, compared to the study of Fu and Fang 2016, we find that the blockchain structure is composed of security components and basic components of six layers that are independent and cannot be extended completely and have a certain coupling among them. Fourth, the underlying ledger structures of Bitcoin and DAG are highly correlated to their security. Specifically, we follow Sompolinsky et al. and detect that the structure of SPECTRE ensures network security and robustness from its block production, conflict resolution, and generated trusted transaction sets. Meanwhile, the voting algorithm of SPECTRE makes resolving conflicting transactions by calculating votes and ensuring the transaction information that is virtually unable to be tampered with possible. In particular, the security calculation power of SPECTRE can reach 51% and resist “double-spend attacks” and “censorship attacks” effectively. In addition, the RDL framework of SPECTRE achieves security confirmation of transferring funds. Moreover, PHANTOM identifies evil blocks by employing block connectivity analysis and ensures its security. Eventually, we also expand the studies of and compare the basic characteristics of the protocols of Bitcoin, SPECTRE, and PHANTOM and find that protocols play imperative roles throughout the implementation process of cryptocurrency. In addition, the underlying ledger structure and consensus mechanism make up a blockchain while the confirmation time, throughput limit, and ordering are prerequisites for smart contracts. (shrink)

Companies in the world today understand that keeping users in touch is essential to enhancing their trust. The primary objective of this study was to determine the intention-based critical determinants of E-commerce utilization in China from the end users’ perspective. We developed a framework that identifies the factors that influence E-commerce utilization in China. Besides, we introduced observational research conducted in a real-world E-commerce sense. Results are based on a sample of 400 respondents by employing a comprehensive questionnaire survey. The (...) structural equation modeling and the partial least squares regression approach was used to analyze the data. Study results show that perceived usefulness, perceived ease of use, reputation, trust in vendors, and purchase frequency significantly influence consumers’ intention to use E-commerce systems. Research outcomes emphasize transforming social norms, raising consumers’ awareness, redesigning policy frameworks, and highlighting the paybacks that E-commerce offers through integrative and consistent efforts. (shrink)

Companies that use online group-buying to get new business expansion opportunities at a price advantage are failing. Therefore, there is a need to develop new marketing strategies for group-buying companies to achieve market share and consumer favor. Given that consumers are society members, we used the social interaction theory to investigate the combination of factors that stimulate consumers’ purchase intentions. Fuzzy-set Qualitative Comparative Analysis was performed to evaluate different strategy configurations of social interaction elements, perceived quality, benefits and trust to (...) promote purchase decisions from 406 group-buying consumer questionnaires. We revealed four pathways with different configurations that can prompt consumers to make group-buying decisions: information strategy, Word-of-Mouth strategy, sense of community strategy, as well as combining Word-of-Mouth and sense of community strategy. These strategies provide viable approaches through which group-buying companies can rationally use marketing programs to promote consumers’ purchase intentions. (shrink)

ABSTRACT:The oft-cited privacy paradox is the perceived disconnect between individuals’ stated privacy expectations, as captured in surveys, and consumer market behavior in going online: individuals purport to value privacy yet still disclose information to firms. The goal of this paper is to empirically examine the conceptualization of privacy postdisclosure assumed in the privacy paradox. Contrary to the privacy paradox, the results here suggest consumers retain strong privacy expectations even after disclosing information. Privacy violations are valued akin to security violations in (...) creating distrust in firms and in consumer willingness to engage with firms. This paper broadens the scope of corporate responsibility to suggest firms have a positive obligation to identify reasonable expectations of privacy of consumers. In addition, research perpetuating the privacy paradox, through the mistaken framing of disclosure as proof of anti-privacy behavior, gives license to firms to act contrary to the interests of consumers. (shrink)

With service robots becoming more ubiquitous in social life, interaction design needs to adapt to novice users and the associated uncertainty in the first encounter with this technology in new emerging environments. Trust in robots is an essential psychological prerequisite to achieve safe and convenient cooperation between users and robots. This research focuses on psychological processes in which user dispositions and states affect trust in robots, which in turn is expected to impact the behavior and reactions in the interaction with (...) robotic systems. In a laboratory experiment, the influence of propensity to trust in automation and negative attitudes toward robots on state anxiety, trust, and comfort distance toward a robot were explored. Participants were approached by a humanoid domestic robot two times and indicated their comfort distance and trust. The results favor the differentiation and interdependence of dispositional, initial, and dynamic learned trust layers. A mediation from the propensity to trust to initial learned trust by state anxiety provides an insight into the psychological processes through which personality traits might affect interindividual outcomes in human-robot interaction (HRI). The findings underline the meaningfulness of user characteristics as predictors for the initial approach to robots and the importance of considering users’ individual learning history regarding technology and robots in particular. (shrink)

PurposeWithin a larger mandate of reviewing the key global trends concerning consumer protection in the electronic commerce (e-commerce) literature, this study aims to study the legal framework concerning e-commerce and consumer protection in the Sultanate of Oman and to analyse the current regulations concerning e-commerce and consumer protection.Design/methodology/approachThis study followed the normative legal research approach and resorted to the desk research process to facilitate content analysis of literature containing consumer protection legislation and regulatory provisions in Oman in particular and the (...) rest of the world in general.FindingsThe study reveals that consumer protection initiatives in Oman are well entrenched for offline transactions, but are relatively new and limited for e-commerce. In spite of the promulgation of consumer protection laws, electronic transaction law and cybercrime law, consumer protection measures for e-commerce in Oman do not address a large number of the global concerns necessary to build consumer confidence and trust in the online environment.Research limitations/implicationsThere is a dearth of information concerning Oman on this topic in the extant literature. The research also witnessed the lack of empirical data on the issue of consumer protection and e-commerce in Oman that offer a detailed database of consumer complaints and associated outcomes.Practical implicationsThe mechanism of consumer protection in electronic transactions is not robust in many countries. Because of the lack of comprehensive and robust legislation, consumers remain vulnerable in the online contractual purchase process. Moving beyond the fragmented legislation, many countries are currently mulling an all-comprehensive e-commerce law, implications of this paper will help the policymakers in identifying the focus areas.Social implicationsConsumer protection is a burning global issue in this era of consumerism. It is important to build consumer trust, transparency and integrity of transactions to reduce the risk and uncertainties of purchase.Originality/valueConsumer protection studies conducted in the context of Oman, hitherto, deal more with data protection and dispute resolution mechanisms, and less with legal provisions, regulations and consumer confidence. The study shares newer insights based on a systematic review of legal and business databases. It is the first study of its kind in the context of Oman and the Middle East in general. (shrink)

With the rapid increase in social media users and netizens globally, the proclivity for online shopping using social commerce platforms cannot be ignored. Trust has been recognised as a constant challenge in the context of social commerce due to the lack of face-to-face interaction. Therefore, there is a dire need to enhance the trust of consumers in social commerce platforms. However, the research in the formation of trust in social commerce and antecedents remains limited. In addition, the existing SC research (...) failed to include its multidimensional view to investigate user behaviour. This study fills this gap and extends existing knowledge by developing a model exploring the antecedents of trust in social commerce. Drawing upon the social-technical theory and trust lens, this study attempts to identify the role of structural assurance and SC platforms as an institution-based trust, trust in sellers and trust in SC community as trusting beliefs, and trust in online payment as a cognitive trust on trust and intention of the social commerce. This research employs a dataset collected using an online survey; the research subjects were recruited from Australia, the United States, and the United Kingdom. This study uses the partial least squares structural equation modeling approach to analyse the data and to confirm the hypothesis proposed in the research model. The empirical findings show that trust in social commerce influences behavioural intention. In addition, trust in the SC platform, the SC community, and online payment influence the trust in SC. Likewise, SA and trust in the SC platform have a significant relationship with trust in sellers, the SC community, and online payment. Finally, this study discusses the theoretical contributions and practical insights to several limitations and suggests directions for future research. (shrink)