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In light of a growing trend towards mobile information management and a UK governmental drive for police forces to implement mobile technologies and realise significant benefits, it is important to examine the factors affecting officer acceptance. There appears to be little understanding of the key factors, yet this is critical to the success of the initiative. The purpose of this paper is to investigate the main factors that influence the usage of mobile technologies amongst police officers.

A qualitative, partially ethnographic design was followed to allow an in‐depth exploration of this issue. The study was based on a mixed‐methods longitudinal evaluation study of the implementation of mobile technologies within a UK police force over a nine‐month period. The technology acceptance model (TAM) and the subsequent TAM2 and TAM3, were then reengineered to provide a suitable theoretical model for a mobile policing context.

In total, four main categories of officer acceptance factors were identified: officer performance, security/reliability, management style and cognitive acceptance. Evidence from the study showed a key shortfall in all three versions of the TAM in that they focus on the user perspective and did not confirm the broader organisational factors within the implementation and social contexts of mobile policing.

Consequently, an adapted mobile‐TAM (m‐TAM) was produced that incorporated these factors into the existing TAM elements. The high‐level nature of the adapted model for mobile policing means it could be applied by other police forces and potentially other organisations, regardless of the type of mobile device implemented, to address the barriers to acceptance. The m‐TAM addresses the need for a more relevant and robust model to the mobile policing paradigm, which goes beyond the static technology environment in which the TAM2 and TAM3 were built.

This study aims to provide an empirically informed view on the auditing profession’s readiness to embrace “disruptive” technologies. Relying on evidence from Big 4 employees in Italy, this study examines the factors that motivate auditors to use blockchain technology (BT).

To this aim, this study uses an integrated theoretical frame merging the third version of the technology acceptance model (TAM3) and the unified theory of acceptance and use of technology (UTAUT). The analytical model is based on an application of the structural equation modelling with partial least square estimation on data gathered through a Likert-based questionnaire.

The findings reveal that the main predictors of auditors’ intention to use blockchain are performance expectancy and social influence. Moreover, auditors’ effort expectancy in relation to this technology implementation and use appears to be a reasonably reliable predictor.

This paper contributes an evidence-based view to the discussion on the impact of automation and disruptive information and communication technologies, on the roles of accounting and auditing professionals. It uses a novel approach to analysis by integrating TAM3 and UTAUT within its theoretical model. It complements and extends the field of studies on technology acceptance by offering fresh insights into auditors’ perceptions. Finally, the paper highlights practical implications for business leaders aiming to use the advantages of BT in audit firms.

This study aims to ascertain the intentions of risk managers to use artificial intelligence in performing their tasks by examining the factors affecting their motivation.

The study employs an integrated theoretical framework that merges the third version of the technology acceptance model 3 (TAM3) and the unified theory of acceptance and use of technology (UTAUT) based on the application of the structural equation model with partial least squares structural equation modeling (PLS-SEM) estimation on data gathered through a Likert-based questionnaire disseminated among Italian risk managers. The survey reached 782 people working as risk professionals, but only 208 provided full responses. The final response rate was 26.59%.

The findings show that social influence, perception of external control and risk perception are the main predictors of risk professionals' intention to use artificial intelligence. Moreover, performance expectancy (PE) and effort expectancy (EE) of risk professionals in relation to technology implementation and use also appear to be reasonably reliable predictors.

Thus, the study offers a precious contribution to the debate on the impact of automation and disruptive technologies in the risk management domain. It complements extant studies by tapping into cultural issues surrounding risk management and focuses on the mostly overlooked dimension of individuals.

Yet, thanks to its quite novel theoretical approach; it also extends the field of studies on artificial intelligence acceptance by offering fresh insights into the perceptions of risk professionals and valuable practical and policymaking implications.

This study aims to propose a research model integrating technology acceptance model 3 (TAM3) constructs and human aspects of humanoid service robots (HSRs), measured by the Godspeed questionnaire series and tested across two hotel properties in Japan and the USA.

Potential participants were approached randomly by email invitation. A final sample size of 395 across two hotels, one in Japan and the other in the USA, was obtained, and the data were analysed using structural equation modelling.

The results confirm that perceived usefulness, driven by subjective norms and output quality, and perceived ease of use, driven by perceived enjoyment and absence of anxiety, are the immediate direct determinants of users’ re-patronage intentions for HSRs. Results also showed that users prefer anthropomorphism, perceived intelligence and the safety of an HSR for reusing it.

The findings have practical implications for the hospitality industry, suggesting multiple attributes of an HSRs that managers need to consider before deploying them in their properties.

The current study proposes an integrated model determining factors that affect the re-patronage of HSRs in hotels.

The potential of waqf is so great in Indonesia but has not been optimized. This paper aims to offer a model for waqf institutions to adopt financial technology for developing productive and social waqf. The authors cunduct an assesment of the Technology Acceptance Model (TAM3), Unified Theory of Acceptance and Use of Technology (UTAUT2) in seeing to the crowdfunders’ behavior.

This study adopted a structural equation using the partial least square approach to test the hypotheses. Based on purposive sampling, the spread of questionnaires through online surveys throughout Indonesia consists of all islands. A total of 297 respondents collected the questionnaires.

Based on the findings, acceptance models have a positive and significant impact on the behavioral intentions of crowdfunders, while Unified Theory of Acceptance and Use of Technology have no significant effect.

The sample of this study involved potential crowdfunders from all over the islands in Indonesia, but these results cannot be generalized because of limitations in terms of the sampling technique used. However, the results of this study can be used as an illustration of how crowdfunders behave in donating money using financial technology.

The results of this study provide a comprehensive perspective for policymakers, especially the Indonesian Waqf Board as the waqf authority that regulates waqf nazir to improve quality by adopting crowdfunding financial technology in collecting waqf funds. In addition, in terms of implications for the government, this waqf crowdfunding model will reduce spending and increase economic growth.

To the best of the authors’ knowledge, this paper is the first in looking at the waqf crowdfunding in Indonesia by looking at two reliable technology determinant models. Studies on cash waqf in Indonesia are many, but they do not look at the issue of crowdfunding, which has gained more attention recently. This paper aims to fill this gap, and this becomes the novelty.

The purpose of this paper is to propose and test a comprehensive model that captures individual, system and situational drivers of customers’ intention to use and actual use of self-service technologies (SSTs).

This paper is based on a survey conducted among 143 users and 150 non-users of SSTs at the exit of a grocery store. The proposed model was analysed using structural equation modelling and a logistic regression.

The results demonstrate that: first, in addition to previous usage behaviour (i.e. usage frequency), situational factors (time pressure, basket size, coupons and queue length at the SSTs and staffed checkouts) influence customers’ decisions to use SSTs during a specific shopping trip; and second, perceived behavioural control is the most important determinant of behavioural intention, followed by perceived usefulness, need for interaction and perceived ease of use and enjoyment.

Although an abundance of research has investigated the adoption of SSTs, little is known about what drives real usage. This study considers the actual usage of SSTs in a specific context, as well as the situational factors that influence the choice of SSTs over traditional checkouts. In addition, this paper provides an integrative model including actual usage, use frequency and behavioral intention and its antecedents by extending the Technology Acceptance Model 3.

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 purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the present day.

A comparison of partial least squares (linear model) and WarpPLS (non-linear model) has been run for each acceptation of technology model: TRA, TAM0, TAM1, TAM2, TAM3, UTAUT, UTAUT2. The data set collects the information of mobile internet users.

The authors have concluded that UTAUT2 model obtains a better explanation power than the rest of technology acceptance models (TAMs) in the sample of mobile internet users. Furthermore, all models have a better explanation power using non-linear relationships than the traditional linear approach.

The vast majority of research published to date with regard to the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are based on structural equation models assuming linear relationships between variables. The originality of this study is that it incorporates non-linear relationships and compares the same models using both approaches.

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization of clean energy in China.

This study contained a sample of 653 households in 8 provinces/regions by stratified, and random sampling in rural China. Descriptive analysis, exploratory factor analysis and confirmatory factor analysis techniques have been used for analytical purposes.

The empirical results indicate that financial incentive and social interaction have positive effects on rural residents’ adoption willingness, while village leaders’ engagement can indirectly influence their adoption willingness through social interaction and residents’ cognition.

This study mainly considers external and internal factors but ignores the effect of technical factors. In addition, the samples are just selected from the residents who have adopted solar PV.

This study is expected to be useful for the government, regulators, village leaders, village leaders and other institutions.

This study conducts a systematic analysis and clarifies the relationship between factors (external and internal) and rural residents’ adoption willingness. The village leaders’ engagement is first added to the conceptual model as an external factor, which is very essential in rural residents’ adoption in China.

Despite much research on organizations’ adoption of innovation, little is currently known about individual employees have gone about it. The purpose of this paper is to empirically investigate the determinants that address individual employees’ decisions concerning innovation in the workplace.

Data were collected from 272 employees from a tertiary education institution in Australia using a structured instrument.

Results from the structural equation modeling analysis indicate that enjoyment and motivation impact significantly on attitudes to an innovation, which, in turn, affects how employees behave toward it.

Furthermore, organizational patronage, innovativeness and self-image have been found to influence the innovation adoption process. These findings have implications for the effective management and implementation of an innovation at the individual level.

Although innovation adoption has been studied extensively, drivers of adoption and research on individual innovation acceptance remain limited. Designing an effective approach for increasing end-user acceptance and subsequent use of innovation continues to be a fundamental challenge. The current literature indicates that we know relatively little about the ways in which individuals adopt and the factors that influence individual adoption of innovation. This study is designed to fill that gap. The identification of the factors is important to create a work environment that is conducive to individual adoption of innovation and thereby gain the expected benefits from the innovation.