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The aim of this research is to analyse the impact of relative advantage, compatibility, ease of use, visibility, voluntariness, image, result demonstrability and trialability on intention to use internet security software using a model developed based on perceived characteristics of innovation by Moore and Benbasat (1991) among undergraduate students.

Using an intercept survey method, 425 responses were collected from a Malaysian public university using a closed questionnaire which was gotten from the literature. The authors used the SmartPLS software which is a second-generation structural equation modelling software that can be used to model latent variables with negligible requirements.

The results show that relative advantage, compatibility, visibility, voluntariness, result demonstrability and trialability had a positive effect on use of internet security software while ease of use and image was not significant.

The most important predictor was trialability which sends a clear signal to software developers that users would like to be able to try the software before making a decision to purchase and use. However, the research is limited to students only. Therefore, future research can be extended to wider population.

The result of this paper provides beneficial information to the internet security software developers about what factors affect users’ intentions to buy their products.

The authors used the comprehensive innovation diffusion theory to test the security behaviour of under graduate students from a developing country’s perspectives. Many other similar studies have been done in the developed country’s context. Thus, this paper adds to the literature from a developing country’s perspective.

The purpose of this paper is to report an exploratory study based on the Chinese user technology acceptance model (CUTAM), by testing CUTAM and developing a model to predict user acceptance of information technology innovations in the remote areas of China.

By collecting the data from a survey in Hainan province, the paper is able to empirically examine the explanative power of CUTAM in the remote context of China. The author further developed a new model for user acceptance in the remote areas of China, based on analysis discussion on the empirical results from a perspective of computer self‐efficacy across regions. The model fit was examined and it was found that the new model is better than CUTAM to fit the data from remote areas of China.

Perceived usefulness, result demonstrability and facilitating condition were found to be salient behavioral beliefs determining behavior intention of Chinese users of information technology innovations in the remote areas. The effects of perceived usefulness and results demonstrability on behavioral intention were mediated by attitude toward behavior. Facilitating condition was found to be the most important determinant of user acceptance in remote areas of China, which directly affected behavioral intention.

The paper contributes an insight of individual‐level technology adoption and innovation diffusion in the remote areas of China, which has been paid little attention to in prior literature. Solid empirical evidence is provided to validate a model for Chinese user acceptance in the remote areas of China, based on the development of the theory of CUTAM.

The purpose of this study is to gain a better understanding of the adoption of smartwatches. Specifically, the robustness of the perceived characteristics of innovation (PCI) model in predicting such adoption is demonstrated. Previous smartwatch research has not used this same technology adoption model. This research demonstrates the value of examining the adoption of wearables and other new technologies (i.e. smartwatches) with the new approach of PCI while avoiding some of the limitations of previous studies.

A survey of 178 respondents was conducted, and the data was analyzed using structured equation modeling and partial least squares. The model described here extends the models used in extant smartwatch research by identifying additional factors.

The results show that three factors (compatibility, trialability and relative advantage) significantly impact behavioral intention to adopt the technology.

With the escalation of remote work, the increase in wearable technology and the widespread use of Wi-Fi technology, the way that employees adopt and use their technology must be reassessed. Therefore, a new approach was sought with an established theoretical base to evaluate the adoption of smartwatches under these evolving circumstances. Specifically, Moore and Benbasat’s characterization of the PCI was selected, which is rooted in Rogers’ diffusion of innovation theory.

This paper aims to explore the roles Web 2.0 applications play in niche cultures such as rock music diffusion.

This paper aims to examine the influence of online forums on fans of rock music and to validate the intermediating roles of the cognitive variables.

The results show that the three factors associated with innovation diffusion theory play different intermediating roles in the relationship between the stickiness of online forums (their ability to make users stay longer and return) and the levels of appreciation displayed by fans of rock music. While stickiness shows a significant positive impact on an individual's perception and image of a rock band, visibility has a significant negative influence on the individual's level of enthusiasm for the band.

Additional data and measures are required for in‐depth investigations of other cultural contexts.

The study could be helpful for determining the influence of online forums on rock music diffusion and for planning innovative promotions and sales strategies for rock bands. Moreover the findings could be applicable to the marketing and promotion of other niche culture items.

This study's originality lies in confirming the intermediating roles of the cognitive variables based on innovation diffusion theory between online forums' stickiness and appreciation of rock bands by using a mixed qualitative and quantitative approach and then by showing the opportunities and challenges provided by networking to rock music.

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.

The purpose of this study is to measure the Arab States? innovation and imitation levels to understand the factors affecting their diffusion processes. The authors argue that sampling Arab States provides the literature on international diffusion with the ability to contrast between developing and developed countries regarding the diffusion process and to represent a different region with different characteristics both economic and cultural. As such, the authors investigated the diffusion patterns of seven Arab States, namely, Kuwait, the Kingdom of Saudi Arabia (KSA), the United Arab Emirates, Lebanon, Iraq, Libya and Egypt.

The present study mapped the respective Arab States’ diffusion patterns by applying the Bass model on their mobile cellular subscriptions data.

The paper’s contributions include estimating the Arab States diffusion patterns and distinguishing them according to their innovation and imitation coefficients. Findings indicate Kuwait and Libya as the most innovative countries, whereas Egypt and Lebanon ranked as laggards. The present study also reviewed each Arab State’s telecommunication sector which provided a theoretical interpretation for the differences found in their diffusion patterns.

The paper extends diffusion theory to encompass a region otherwise excluded from the literature’s generalizable findings. The present study’s sampling of countries from the Middle East and North African region and subsequent findings provide a stronger basis to draw empirical generalizations about international product diffusion process than previously suggested by the literature.

This study aims to investigate the impact of primary building information modelling (BIM)-related factors, extracted from the literature on the subject, on construction project performance.

Based on data collected from 134 BIM users, this study used structural equation modelling to assess the impact of these factors in five main BIM-related factor clusters.

The results of the analysis confirmed the reliability and validity of the research design and outcomes. The findings indicated that the BIM-related external factors cluster is the most influential cluster affecting construction project performance. BIM-related project factors and BIM-related technological factors also had a significant impact on project performance. These were followed by the BIM-related management factors cluster, while the BIM-related human factors cluster had a low impact on project performance.

This study will contribute to fostering BIM adoption and implementation in the construction industry in developing countries.

This study has filled a crucial knowledge gap by providing information on manageable primary BIM-related factors affecting construction project performance.

The purpose of the study is to ascertain whether or not faculty members would be motivated to use e-Databases for research considering the impact of the Technology Acceptance Model2 (TAM2) cognitive instrumental processes of job relevance, output quality and result demonstrability.

The survey research design was applied. The selection of samples was based on a multistage sampling technique involving; purposive, simple/systematic random and total enumeration procedures. Five colleges and departments each were selected from the three universities that provided the setting for the conduct of this study, out of which a sample of 135 was drawn from the total population of 209. The questionnaire method was used for data gathering. Ninety-five percent return rate of the administered instrument was observed. Descriptive and inferential statistical tools were employed for data analyses.

Job relevance, output quality and result demonstrability are motivators of faculty use of e-Databases for research with result demonstrability wielding the strongest influence. Use of e-Databases for research is based on the usefulness level perceived of them. Faculty are highly predisposed to using the technology for research with the chances of getting published in reputable journal outlets ranked highest among other factors that influence faculty use of e-Databases.

The conceptualization of TAM2 cognitive instrumental processes as system characteristics and motivators of e-Databases use among faculty towards research engagement advances the understanding of intention to use e-Databases for research.

The success of an Electronic Health Record (EHR) system is determined by the numerous facilitators and obstacles that influence physicians' intentions toward using these technologies. This study examines physicians' intentions to use EHR by applying the extended technology readiness and acceptance model (TRAM) factors, the result demonstrability, colleagues' opinions, perception of external control, and organizational support.

Convenience sampling was used to collect data from physicians in Egypt (n = 520). To evaluate the model's hypotheses, this study used the partial least squares structural equation modeling (PLS-SEM) method with WarpPLS.7.

The results revealed that positive TR factors (innovativeness and optimism) positively affect perceived usefulness and ease of use, while negative TR factors (discomfort and insecurity) negatively impact perceived usefulness and ease of use. Furthermore, the result demonstrability and colleagues' opinions positively influence perceived usefulness, while the perception of external control and organizational support positively influence perceived ease of use. In addition, significant relationships between perceived ease of use and usefulness and adoption intention were identified.

This is the first study to apply the TRAM to understand physicians' adoption intentions to use EHR systems. Moreover, this study determined the different roles of positive and negative TR affecting physicians' cognition regarding using EHR systems.