Search results

This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience. Focusing on the effect of trust on cognitive processes, the authors analyze how affordances in blockchains affect the user experience.

The blockchain affordances are examined through a two-stage process. The authors employ a qualitative analysis based on insights gained from the current literature and interviews. The authors then apply a quantitative survey to examine the role of trust in interactions with blockchain services. A structural user model was tested in which their appreciation of affordances of blockchain predicted the trust and satisfaction.

Users' appreciation for transparency and reliability explained to what extent they trust and are satisfied, thereby suggesting the heuristic roles of trust in blockchains. The study findings indicate a heuristic role for trust regarding underlying links to technological and affective affordances. A user's cognitive heuristics affect their attitudes toward blockchain, in which technological features are processed through users' perceptions and experience.

The model contributes to the conceptualization of security, privacy and traceability along with trust, which is then linked to transparency and reliability. The findings show how the frame of affordances gains explanatory power by being linked to the concepts of affect and emotion. The heuristics of direct perception of security–traceability–privacy (STP) can be used to understand the trajectory of heuristics and ongoing choices of blockchain.

The study results offer a lens through which to address the technology's most common problems by pairing user experience principles and heuristics to blockchain technologies. This study offers insights into the understanding of user actions related to blockchains and into practical implications for developing trust-based services. The results guide the application and tailoring of motivational affordances in blockchain.

While blockchain technology has gained popularity and momentum, there has been little research on how specific features of blockchain technology create value. This study contributes to the research gap by highlighting the role and dimension of trust in relation to STP in blockchains and provides meaningful implications for theory and practice.

The current body of empirical research regarding the impact of trust in the cybersecurity commitment of institutions on digital payment usage has focused solely on a macro-level analysis, overlooking the intricate dynamics between institutions' cybersecurity commitments and the trust levels of digital payment users. In light of this limitation, this study aims to offer a more comprehensive understanding of this complex relationship.

A case study was conducted on digital payment users in India through the critical realist lens. To gather data, interviews and focus group discussions were conducted with digital payment users from various regions of the country.

The citizen-centric outcomes of the national cybersecurity commitment (performance and responsiveness) are the most prominent and impactful trust indicators. These outcomes play a crucial role in shaping digital payment users' perception and trust in the cybersecurity commitment of public institutions. Individuals' value positions also influence trust judgments, as it is essential to recognize the value tensions that may arise due to security implementation and their congruence with citizens' values.

The findings of this study have significant implications for policymakers. They are potentially an artifact of the security and perception of digital payment users and the cultural uniqueness of digital payment users in India.

The study proposes a holistic understanding of the relationship between institutions' cybersecurity commitments and the trust levels of digital payment users. It offers a qualitative evaluation of how digital payment users perceive and construe efficient information security management implemented by public institutions.

How does algorithmic information processing affect the thoughts and behavior of artificial intelligence (AI) users? In this study, the authors address this question by focusing on algorithm-based chatbots and examine the influence of culture on algorithms as a form of digital intermediation.

The authors conducted a study comparing the United States (US) and Japan to examine how users in the two countries perceive the features of chatbot services and how the perceived features affect user trust and emotion.

Clear differences emerged after comparing algorithmic information processes involved in using and interacting with chatbots. Major attitudes toward chatbots are similar between the two cultures, although the weights placed on qualities differ. Japanese users put more weight on the functional qualities of chatbots, and US users place greater emphasis on non-functional qualities of algorithms in chatbots. US users appear more likely to anthropomorphize and accept explanations of algorithmic features than Japanese users.

Different patterns of chatbot news adoption reveal that the acceptance of chatbots involves a cultural dimension as the algorithms reflect the values and interests of their constituencies. How users perceive chatbots and how they consume and interact with the chatbots depends on the cultural context in which the experience is situated.

A comparative juxtaposition of cultural-algorithmic interactions offers a useful way to examine how cultural values influence user behaviors and identify factors that influence attitude and user acceptance. Results imply that chatbots can be a cultural artifact, and chatbot journalism (CJ) can be a socially contextualized practice that is driven by the user's input and behavior, which are reflections of cultural values and practices.

The paper seeks to explore the role of self‐regulation in the use of decision heuristics by entrepreneurs.

An exploratory mixed‐methods study incorporating qualitative and quantitative data, and generating propositions to guide future research and practice.

The findings suggest that entrepreneurs use heuristics frequently in relation to the evaluation of opportunities, but rely on more systematic decision means during the exploitation phase. In addition, entrepreneurs appear to employ heuristics in an effective fashion by using skills of self‐regulation. This finding questions widespread assumptions about the inherent bias and cognitive errors associated with this type of entrepreneurial decision‐making.

Being an exploratory study of a relatively small sample, the findings are tentative and not generalized to a wider population. However, the study implies that future researchers should explore these topics in greater depth.

Self‐regulatory skills can be primed and enhanced using systematic interventions and the study suggests that these techniques could be used to improve the education and management of heuristic decision making by entrepreneurs.

This study is one of the first to explore the complex role played by self‐regulation in the use of heuristics by entrepreneurs, and also one of the first to explore the conditions surrounding the use of specific decision heuristics. The study also adopts an original approach by assuming that heuristics may be effective and rational decision means.

This study aims to empirically examine the relationship between Internet use and personal privacy risk perceptions, the mediating effect of trust and the moderating effect of satisfaction on that relationship, which is exactly conducive to the practice of personal information protection.

A moderated mediation model will be employed to test the hypothesized relationships using the 2017 Chinese Society Survey data.

The authors find that Internet use positively relates to citizens' risk perceptions toward privacy security, and trust partially mediates the relationship between Internet use and privacy risk perception. In addition, the analysis of moderating effects showed that satisfaction with social life significantly enhances the negative impact on individuals' privacy risk perceptions of interpersonal trust. The positively moderating effect of satisfaction with local governments' work mainly reveals the relationship between interpersonal trust (or institutional trust) and citizens' privacy risk perception. Moreover, satisfaction with Internet platforms positively moderates the relationship between consumer trust and privacy risk perception.

This article contributes to the social risk amplification framework by applying it to the personal privacy information protection field, which was rarely discussed before. It also enriches privacy research by identifying the internal mechanism of how Internet use influences citizens' risk perceptions towards privacy information leakage.

The purpose of this paper is to examine whether distributive justice interacts with procedural justice to influence affective commitment; whether organizational trust moderates the relationships of affective commitment with these two justice perceptions; and whether organizational trust moderates the interactive effect of justice perceptions on affective commitment.

This study administered both paper and online surveys to university employees from China, South Korea, and Australia, obtaining 706 usable responses from 65 universities. Hierarchical regressions were employed to test hypotheses for each country. The patterns of results were compared across nations.

It was found that in Australia, but not in South Korea and China, distributive justice interacted with procedural justice to influence affective commitment. Results also revealed that in Australia, organizational trust moderated the relationship between affective commitment and distributive justice but not the relationship between affective commitment and procedural justice. By contrast, in South Korea and China, organizational trust had no moderating effect on justice-commitment relationships.

Although this study was limited due to the use of self-report data and the focus of a single type of organization, it provides relatively new cross-cultural evidence regarding justice effects and the role of trust in the Asia Pacific region.

This study is among the first to provide empirical evidence of a moderating effect of trust on justice-outcome relationships. It is also one of the first to cross-culturally investigate the interactive effect of distributive justice and procedural justice, with an additional focus on trust’s moderation role.

Through a portfolio choice model, the study empirically examines the influence of the heuristic simplification through peak-end rule (PER) and the associated neglect of the duration of the experience. The portfolio strategy adopted involves optimizing portfolios to capture the impact of heuristic-driven investors' experience of good and bad states. The study attempts to validate PER in an empirical context and is expected to generate trading rules, which would exploit pricing errors emerging out of the use of heuristics by investors.

The empirical approach adopted in the study primarily examines returns to portfolios sorted according to various hedonic evaluation rules. Behavioral portfolios are constructed using hedonic experiences as conditioning variables.

The results imply that there is continued investor demand for such assets in the short run. An equal weight portfolio based on a three-month hedonic evaluation earns an average monthly return of 2.77% over the next 12 months.

The authors’ study may perhaps be the first attempt to use the peak-end heuristic in portfolio construction.

Most theory and empirical research on the impact of e‐government on citizens' trust in government remains at the macro‐level and misses out on the complexities of the interaction between e‐services and citizens' trust in government. The purpose of this paper is to provide a deeper understanding of this complexity.

The research strategy is a comparative case study of two e‐services in Chile: a tax administration and an e‐procurement system. Data were collected from a variety of users (citizens and business owners) and public sector employees in the Araucania Region in Chile.

Within e‐services, the most easily perceived and influential trustworthiness cues are those outcomes that directly impact the citizen. These cues shape citizens' resultant interpretations of and trust in the public sector agency. Furthermore, the direction of this influence is mediated by individuals' particular circumstances and value positions. Key to understanding the process of building and destroying trust is the identification of the value conflicts that can emerge from e‐service implementations and how they align with citizens' values.

The research conclusions are potentially an artefact of the financial nature of the e‐service transactions and the cultural uniqueness of Chileans.

The paper presents an original integrated conception of trust and institutional trust as well as a comparative analysis of citizens' perceptions and interpretations of “successful” e‐services.

As algorithms permeate nearly every aspect of digital life, artificial intelligence (AI) systems exert a growing influence on human behavior in the digital milieu. Despite its popularity, little is known about the roles and effects of algorithmic literacy (AL) on user acceptance. The purpose of this study is to contextualize AL in the AI environment by empirically examining the role of AL in developing users' information processing in algorithms. The authors analyze how users engage with over-the-top (OTT) platforms, what awareness the user has of the algorithmic platform and how awareness of AL may impact their interaction with these systems.

This study employed multiple-group equivalence methods to compare two group invariance and the hypotheses concerning differences in the effects of AL. The method examined how AL helps users to envisage, understand and work with algorithms, depending on their understanding of the control of the information flow embedded within them.

Our findings clarify what functions AL plays in the adoption of OTT platforms and how users experience algorithms, particularly in contexts where AI is used in OTT algorithms to provide personalized recommendations. The results point to the heuristic functions of AL in connection with its ties in trust and ensuing attitude and behavior. Heuristic processes using AL strongly affect the credibility of recommendations and the way users understand the accuracy and personalization of results. The authors argue that critical assessment of AL must be understood not just about how it is used to evaluate the trust of service, but also regarding how it is performatively related in the modeling of algorithmic personalization.

The relation of AL and trust in an algorithm lends strategic direction in developing user-centered algorithms in OTT contexts. As the AI industry has faced decreasing credibility, the role of user trust will surely give insights on credibility and trust in algorithms. To better understand how to cultivate a sense of literacy regarding algorithm consumption, the AI industry could provide examples of what positive engagement with algorithm platforms looks like.

User cognitive processes of AL provide conceptual frameworks for algorithm services and a practical guideline for the design of OTT services. Framing the cognitive process of AL in reference to trust has made relevant contributions to the ongoing debate surrounding algorithms and literacy. While the topic of AL is widely recognized, empirical evidence on the effects of AL is relatively rare, particularly from the user's behavioral perspective. No formal theoretical model of algorithmic decision-making based on the dual processing model has been researched.

The purpose of this paper is to understand how the 2015 Tianjin Port explosion – which resulted in more than 100 deaths – changed local residents’ acceptance, perceived benefit and risk and trust related to hazardous goods warehouses and chemical plants (HGWCPs) and how it influenced local residents’ decisions about accepting HGWCPs through the lens of the trust heuristic.

A survey was conducted eight months after the disaster. Respondents were classified into two groups: involved (with direct experience of the explosion) and uninvolved (without direct experience). Their trust in those responsible for HGWCPs, and perceived benefit, perceived risk and acceptance associated with HGWCPs were surveyed.

The disaster reduced public acceptance of HGWCPs and trust and increased perceived risk. Trust retained an indirect effect on acceptance through perceived benefit in both groups and a direct effect on acceptance in the involved group. Trust partly accounted for the reduction in acceptance of HGWCPs.

Results remind the local government of the medium-term psychological consequences of the Tianjin Port explosion (e.g. increased perceived risk and reduced trust) and suggest the importance of building trust in mitigating risk perceptions of relevant technological hazards.

It represents a valuable addition to the literature on the medium-term psychological consequences of technological disasters and on the public’s decision making about hazardous technologies.