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The public's trust in the authorities has a great impact on people's perception and cognition on development of different types of urban transport infrastructure projects (UTIPs). Given the importance of public acceptance for the efficient construction and operation of UTIPs, this study aims at investigating the personal and environmental factors that influence public acceptance behavior from the perspective of stakeholder management.

Based on social cognitive theory (SCT), this study explores the multiple dimensions of social trust on public acceptance in the development of UTIPs by a comparative case study. Two types of UTIPs, a metro railway and a bridge in the Wuhan City, China, were selected as cases, with a questionnaire distributed among the public to collect their sense of trust towards the development of these projects. The data were analyzed through structural equation modeling (SEM).

This study reveals that social trust positively influences public acceptance, directly or indirectly through perceived benefit and -risks and self-efficacy. However, the emphasis on social trust about competence and integrity of the authorities varies with the types of projects. Self-efficacy worked as the “mirror of trust” reflecting people's attitude towards social trust in the authorities on their ability and morality.

The value of the paper lies in discussing social trust from multiple dimensions in the field of urban infrastructures, which provides new insights into specific mechanisms for shaping public acceptance in project management towards the development of UTIPs.

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.

This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to investigate the influencing factors of the public acceptance of 5G base stations.

This study used a combination of eye-tracking experiments and questionnaires. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

(1) The Technology Acceptance Model (TAM) could be used to explain the effects on public acceptance of 5G base stations in the context of the COVID-19 pandemic. The public's perceived usefulness and ease of use of 5G base stations positively affects public acceptance of 5G base stations. (2) The public's perceived risk of 5G base stations has a negative influence on the public acceptance of 5G base stations. (3) The public's visual attention to the different valence information about 5G base stations positively impacts the perceived ease of use while having negative impacts on perceived risk. (4) Visual attention to various valence information of 5G base stations can indirectly influence public acceptance through the perceived risk.

Applying the SOR and TAM to data obtained from eye-tracking experiments and questionnaires, this study analyzed the factors and mechanisms influencing public acceptance of 5G base stations in the context of the COVID-19 pandemic.

This paper aims to show how the adopted technology acceptance model (TAM) is used to measure the acceptance of internet use by naval officers in the Naval Department for the e‐government initiative in Thailand.

The study used two research methodologies for gathering data: the TAM questionnaire and interview. The TAM questionnaire was used to measure naval finance officers' perceptions on the internet and to find the relationship between the 12 external factors (independent factors) and dependent factors within the research framework of the study. The interview was used to explore internet use acceptance in a public organization, and to discover how government officers at one public organization felt about the e‐government initiative and internet usage within their organization.

The study analysis shows that the external factors influencing naval officers' perception on internet use acceptance were: prior experience, job relevance, commitment, trust, and autonomy. However, training and infrastructure problems are other important factors that can also lead to the acceptance of internet use.

The study outcome can provide useful information to help the organization improve its capacity for successfully implementing the e‐government initiative. Simultaneously, the study can also be used as a guideline for e‐government initiative implementation in other public organizations. As a result, this will lead to a successful e‐government initiative in Thailand.

The purpose of this paper is to propose and to test a model that illustrates the impact of technology anxiety on the intention to use a self-service technology (SST) in public. The study includes two context variables that are relevant in public settings: perceived crowding and perceived time pressure.

A cross-sectional survey was conducted to reflect individual perceptions and intentions when initially using a self-checkout. The proposed relationships and interaction effects were examined using structural equation modeling.

The analysis confirms the core relationships of the model (technology self-efficacy→technology anxiety→perceived ease of use→ intention to use) and yields three important results. First, technology anxiety has a direct negative effect on intention to use, which is greater than the indirect effect through the reduction of ease of use. Second, perceived crowding reinforces the negative effect of technology anxiety. Third, when perceived crowding coincides with perceived time pressure, technology anxiety almost completely inhibits the intention to use the SST in public.

Technology anxiety is examined as the only antecedent of perceived ease of use.

Initial encounters to public self-service technologies should be provided in servicescapes that avoid or at least reduce perceptions of crowding and time pressure.

The approach highlights the impact of technology anxiety on the acceptance of self-service technologies used in public by considering two context variables that are salient in public settings: perceived crowding and perceived time pressure.

The aim of this study was to assess the level of awareness and acceptance of bank customers regarding anti-money laundering (AML) practices of banks. The study also aimed to understand their constraints in following the bank’s AML practice.

The target population was account holders of the banks above the age of 18 years, residing in the Puducherry and Chennai regions in India. Convenience sampling was adopted in selecting the sample from these states. The sample consisted of 416 customers of the public, private and foreign banks in India. The responses were collected by administering the pre-tested structured questionnaire. The data was collected during the period June–December 2014. Descriptive and non-parametric tests were applied, and the significance was considered at p = 0.5.

Respondents showed low level of awareness with regard to usage of banks as a channel for money laundering (ML) and terrorism financing (TF) activities (62.3 per cent), reporting function of the banks (70.4 per cent), AML and combating financing of terrorism (CFT) legislation (86.3 per cent) and about the existence of Financial Intelligence Unit (FIU)-India and its function (96.9 per cent). The customers were quite aware of ML (62.5 per cent) and customer identification requirements (95.2 per cent). The participants exhibited neutral attitude towards acceptance of AML measures (3.11 ± 1.31). The descriptive analysis showed 97.4 per cent were ready to provide their identification documents to the bank; however, 64.5 per cent of the participants were reluctant to update their Know Your Customer particulars when it has not experienced any change, and about 68.3 per cent expressed that banks should not disclose the details of their transactions to any third party including financial intelligence units.

The sample constituted only few participants from the foreign sector banks because of the difficulty in identifying the foreign bank customers.

There is a necessity to undertake public awareness campaigns on the importance of AML/CFT system either by the banks or FIU-India or both to increase the level of acceptance towards AML measures. This will help the banks to strengthen the bank–customer relationship.

An extensive review of literature could not find any research study on the assessment of awareness and acceptance of banking customers towards AML practices in India. Thus, this paper attempts to understand the level of awareness and acceptance in the bank customers towards AML practices.

This paper aims to propose a user adoption model of human resource information system (HRIS) in the Jordanian public sector by integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT).

Using a quantitative approach, survey data were collected using an online survey from employees working in four different public organizations in Jordan, and structural equation modelling has been used to validate the research model.

The study found that among the constructs of the UTAUT model performance expectancy, social influence and facilitating condition have a significant effect on users’ behavioural intention to adopt HRIS. Furthermore, the results also reveal that effort expectancy has an insignificant effect on adoption behaviour. The findings also show that all TTF hypotheses were supported by the data collected. Both task characteristics and technology characteristics have a significant effect on the TTF construct, which further determines users’ adoption behaviour.

These findings contribute to the extant academic literature and have practical implications, improving the understanding of the HRIS adoption and use in public sector organizations.

Deepfake information poses more ethical risks than traditional disinformation in terms of fraud, slander, rumors and other malicious uses. However, owing to its high entertainment value, deepfake information with ethical risks has become popular. This study aims to understand the role of ethics and entertainment in the acceptance and regulation of deepfake information.

Mixed methods were used to qualitatively identify ethical concerns and quantitatively evaluate the influence of ethical concerns and perceived enjoyment on the ethical acceptability and social acceptance of deepfake information.

The authors confirmed that informed consent, privacy protection, traceability and non-deception had a significantly positive impact on ethical acceptability and indirectly influenced social acceptance, with privacy protection being the most sensitive. Perceived enjoyment impacts the social acceptance of deepfake information and significantly weakens the effect of ethical acceptability on social acceptance.

The ethical concerns affecting acceptance behavior identified in this study provide an entry point for the ethical regulation of deepfake information. The weakening effect of perceived enjoyment on ethics serves as a wake-up call for regulators to guard against pan-entertainment deepfake information.

Recently, autonomous vehicles (AV) acceptance has been studied intensively. This paper aims to map and analyze the bibliometric characteristics of AV acceptance literature. Furthermore, this research aims to identify research gaps and propose future research opportunities.

The bibliometric analysis was performed. Scopus database was used as the source of the literature. This study selected and analyzed 297 AV acceptance papers. The performance and science mapping analysis were performed.

The developed countries tended to dominate the topic. The publication outlet tended to be in transportation or technology journals. There were four research themes in existing literature. Technology acceptance model (TAM) and UTAUT2 tended to be used for explaining AV acceptance. AV acceptance studies tended to use two types of psychological concepts for understanding AV acceptance, namely risk related concepts and functional utilitarian benefit related concepts. In the context of research design, quantitative approach tended to be used. Self-driving feature was the most exploited feature of AV in the existing literature. Three research gaps were mapped and future research opportunities were proposed.

This paper provided a comprehensive information that allowed scientists to develop future research on AV acceptance.

There is lack of paper that discussed the bibliometric characteristics of AV acceptance literature. This paper fulfilled the gap.

Infrastructure projects lend themselves quite naturally to the domain of collaborative networks, because they are not feasible without the coordinated efforts of several independent and heterogeneous actors. This chapter analyzes the nature and role of multilateral collaboration in the early stages of local infrastructure projects.

After having developed a conceptual model of collaborative approaches to early project stages, a survey was designed and targeted at experienced and informed managers of utilities that develop infrastructural facilities in Italy.

The empirical analysis reveals that collaboration with local governments and other stakeholders is sought by managers mainly to acquire knowledge about project options and feasibility, and to improve public acceptance.