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To test a social-psychological model of public acceptance of highway infrastructure projects in the Chinese architecture/engineering/construction industry.

Through a comprehensive literature review, we established a social-psychological model of public acceptance related to benefit perception, risk perception and public trust. We empirically validated our model by using structural equation model analysis based on a questionnaire survey in the S35 Yongjin Highway Infrastructure Project in Yunnan Province, China.

Benefit, trust and risk perception had a significant influence on local residents' public acceptance of highway infrastructure projects; benefit perception and trust perception had a greater influence than risk perception. Public acceptance among local male residents over the age of 35 or those with higher education levels was more likely to be determined by the relative dominance of risk and benefit perceived.

This study contributes empirical evidence to the theoretical literature related to locally unwanted land use (LULU) siting and stakeholders in the field of project management from the public perspective. This study also suggests valuable practical implications to authorities, project managers and the public in decision-making and risk communication.

Although previous studies addressed factors affecting public acceptance towards potentially hazardous facilities, understanding of the implications of these social-psychological factors and their effects are still far from sufficient. This study bridges this gap by exploring the determinants of public acceptance towards highway infrastructure projects based on a selected case in China.

The purpose of this paper is to analyze the moderating role of self-confidence and risk acceptance on the relationship between perceived risk and intention to use internet banking.

A survey was conducted with 180 Brazilian banking customers. The Johnson-Neyman test was used to verify the moderation and significant regions along self-confidence and risk acceptance levels.

Self-confidence and risk acceptance moderate the relationship between risk perception and intention to use internet banking. For individuals with high self-confidence, the effect of perceived risk on intention to use internet banking is lower than it is for individuals with low self-confidence. In the same way, for individuals with high risk acceptance, the effect of perceived risk on intention to use internet banking is lower than it is for individuals with low risk acceptance.

This research contributes to the understanding of the conditions (two personal factors) under which risk perception does not influence intention to use a technological tool.

This paper provides insights for marketing managers to encourage customers to develop greater risk acceptance and self-confidence to minimize the negative effects of perceived risk of the adoption of internet banking.

Although risk perception can contribute to customers’ avoidance of internet banking, this is the first paper to verify how acceptance of risk and self-confidence can moderate the effects of perceived risk on intention to use internet banking.

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.

This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context.

The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling.

Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application.

Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes.

This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.

The purpose of this paper is to examine factors affecting consumers' acceptance of mobile marketing in China.

The authors draw on technology acceptance and uses and gratifications theories to develop a conceptual model of antecedent factors (including risk acceptance related to the mobile platform and personal attachment related to mobile devices) and marketing‐related and value‐based mobile activity related to the acceptance of mobile marketing practice. The conceptual model is tested using data collected among Chinese youth consumers.

The results confirm the importance of risk acceptance and personal attachment in influencing mobile marketing acceptance, and support the “priming” effect of regular mobile phone usage on orienting consumers toward accepting mobile marketing initiatives.

The study is limited to a specific sample of youth consumers in China. The findings illustrate the role of antecedent factors – including personal attachment and risk acceptance – related to acceptance of mobile marketing in the Chinese market and they emphasize the role of marketing‐related and value‐based mobile activity in mediating the relationships between antecedent factors and mobile marketing acceptance.

The findings illustrate the importance of recognizing the drivers of, and obstacles to, mobile marketing acceptance. These factors included the likelihood of providing information, likelihood of accessing content, likelihood of sharing content, level of risk acceptance, and level of personal attachment to one's mobile phone.

The paper adds to the growing literature on Chinese youth consumers by examining their acceptance of mobile marketing. The study reveals several implications for theory and practice relating to the antecedents of mobile marketing acceptance among the youth consumer segment within China, a large and emerging market.

The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance.

An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model.

Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention.

The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers have regarding m-payment.

Although the hindering effects of perceived risk regarding m-payment acceptance have been confirmed in previous studies, the sources of perceived risk were rarely investigated. By examining the determinants of perceived risk in m-payment acceptance, this paper offers insights into how consumers perceive risks when adopting new innovations. Additionally, it bridges the gap between the antecedents and consequences of perceived risk.

The purpose of this paper is to help understand consumer acceptance of online health information services by integrating the health belief model and extended valence framework.

A laboratory-based, experimental-scenarios research design is used to collect data, and the structural equation modeling technique is used to test the research model.

The model explains 47.6 percent of the variance in intentions to use online health information services. Trust appeared to have the strongest effect on acceptance. Perceived risk also had a significant impact on acceptance. Furthermore, health belief variables are confirmed as important factors for consumer acceptance. Self-efficacy was found to moderate the effect of perceived severity on acceptance.

This study helped identify the relative salience of the health belief model and extended valence framework in consumer acceptance of online health information services.

This study can help practitioners better understand the development of trust and the profiles of consumers who may browse their sites. When online health service providers promote their information to encourage potential online health information seekers, they should use countermeasures against risk perceptions.

This study attempted to extend the valence framework to the non-commercial service context. Moreover, health beliefs and the valence framework are two fundamental aspects that health information seekers consider when making decisions about online health services.

The purpose of this paper is to examine the impact of corporate governance practices on auditors' decisions (judgments), especially, the client acceptance decision in Egypt, where corporate governance is neither mandatory nor legally binding.

The study was carried out through a 2×2 experimental design with a strong level of corporate governance (the board of directors and audit committee) versus a weak level of corporate governance (the board of directors and audit committee).

The findings of the study revealed that strong corporate governance is associated with more favorable acceptance judgments than weak corporate governance. These results suggest that the voluntary adoption of corporate governance practices by Egyptian companies enhances the quality of financial reporting process and, therefore, affects auditors' decisions (judgments).

The results of the study should be considered by regulators in Egypt in order to begin the necessary actions for legally pending the Egypt Code of Corporate Governance, issued on October 2005. However, owing to the relatively small sample size, these findings should be interpreted with caution.

The paper contributes to the limited body of research on the impact of corporate governance on auditor's client acceptance decision by examining this impact in Egypt, where corporate governance is still not mandatory.

Buying firms are increasingly exposed to sustainability risk arising from negative conditions or potential events in their supply base that might provoke adverse stakeholder reactions. Procurement managers at these firms can pursue multiple strategies to address this risk with suppliers, including acceptance, monitoring-based mitigation, avoidance and collaboration-based mitigation. This study aims to investigate how perceived risk, supplier dependence and financial slack resources contribute to the strategic preferences of these managers.

A vignette-based experiment with procurement managers is used to examine the factors affecting the managers’ strategic preferences in managing supplier sustainability risk.

The empirical results revealed that the procurement managers’ preference for avoidance or collaboration strategies was stronger when they perceived higher risk, but their preference varied based on the degree of supplier dependence. Specifically, when they perceived a high level of risk, procurement managers were more inclined toward a monitoring strategy with dependent suppliers and preferred an avoidance strategy when they dealt with independent ones. Financial slack was also an influential factor: managers with more slack at their disposal preferred to collaborate with suppliers to address the risk; on the other hand, limited slack shifted their preference toward an acceptance strategy, regardless of the level of risk.

This study helps to develop a more nuanced picture of how procurement managers make challenging and complex trade-offs when responding to supplier sustainability risk.

This study aims to understand and compare how the mechanism of innovative processes in the information technology (IT) industry – the most innovative industry worldwide – is shaped in Poland and the USA in terms of tacit knowledge awareness and sharing driven by a culture of knowledge and learning, composed of a learning climate and mistake acceptance.

Study samples were drawn from the IT industry in Poland (n = 350) and the USA (n = 370) and analyzed using the structural equation modeling method.

True learning derives from mistake acceptance. As a result of a risk-taking attitude and critical thinking, the IT industry in the USA is consistently innovation-oriented. Specifically, external innovations are highly correlated with internal innovations. Moreover, a knowledge culture supports a learning culture via a learning climate. A learning climate is an important facilitator for learning from mistakes.

This study revealed that a high level of mistake acceptance stimulates a risk-taking attitude that offers a high level of tacit knowledge awareness as a result of critical thinking, but critical thinking without readiness to take a risk is useless for tacit knowledge capturing.