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The purpose of this paper is to explore the factors affecting users’ continuous microblog usage intention. In recent years, the number of microblog users has gradually declined. This research can reveal microblog users’ needs and provide the improvement direction of microblog services.

By integrating Wixom and Todd’s theoretical framework, the Uses and Gratifications Theory and the DeLone and McLean Information System Success Model, a conceptual model is proposed. In this model, gratification is defined as a kind of behavioral attitude, and satisfaction is viewed as an object-based attitude. The survey data were collected online and analyzed using the partial least squares method.

The results suggest that users’ continuance intention (behavioral intention) is jointly determined by users’ gratification (behavioral-based attitude) and their habitual microblog usage behavior. Likewise, gratification is positively affected by satisfaction (object-based attitude) which is a joint function of system quality and information quality (object-based beliefs).

In this research, Wixom and Todd’s principle is applied as the basic theoretical framework; gratification is viewed as a behavior attitude and user satisfaction is identified as an object-based attitude. This research model is a new lens for continuance usage research.

This study aimed to identify and analyse the key factors influencing the adoption of e-government services and to discern their implications for various stakeholders, from policymakers to platform developers.

Through a comprehensive review of existing literature and detailed analysis of multiple studies, this research organised the influential factors based on their effect: highest, direct and indirect. The study also integrated findings to present a consolidated view of e-government adoption drivers.

The research found that users' behaviour, attitude, optimism bias and subjective norms significantly shape their approach to e-government platforms. Trust in e-Government (TEG) emerged as a critical determinant, with security perceptions being of paramount importance. Additionally, non-technical factors, such as cultural, religious and social influences, play a substantial role in e-government adoption decisions. The study also highlighted the importance of performance expectancy, effect expectancy and other determinants influencing e-government adoption.

While numerous studies have explored e-government adoption, this research offers a novel classification based on the relative effects of each determinant. Integrating findings from diverse studies and emphasising non-technical factors introduce an interdisciplinary approach, bridging the gap between information technology and fields like sociology, anthropology and behavioural sciences. This integrative lens provides a fresh perspective on the topic, encouraging more holistic strategies for enhancing e-government adoption globally.

The purpose of this study was to investigate and model travel behaviour and attitudes for households in Saudi Arabia.

A household survey was used to collect data on household travel patterns and socio‐economic variables in the city of Tabuk in Saudi Arabia. The population of Tabuk city is just under 500,000 people, of which approximately 83 per cent are Saudi nationals and 17 per cent non‐Saudi nationals. The average household size is about six persons.

Although there have been a large number of research investigations into travel behaviour in Western countries, there is a huge lack of studies in this area in some countries, such as Saudi Arabia. The specific characteristics of socio‐economic patterns as well as travel behaviour attitudes in this country make it a very interesting and unique area, which has its own characteristics and patterns, hence the need for the research.

Although there have been a large number of research investigations into travel behaviour in the Western countries, there is a huge lack of studies in this area in some countries such as Saudi Arabia. The specific characteristics of socio‐economic patterns as well as travel behaviour attitudes in this country make it a very interesting and unique area which has its own characteristics and patterns, hence the need for the research.

The purpose of this paper is to propose and support a model to predict the effectiveness of teams.

The literature provides a wide variety of variables or constructs to measure the effectiveness of a team. The article proposes a mathematical model to predict the effectiveness of a team. A priori comparisons are used to develop a mathematical model of the optimum team.

The study expands on the theory of team effectiveness and demonstrates that a theoretically developed empirical model can predict team effectiveness quantitatively. A mathematical model was developed as an empirical function of performance, behavior, attitude, team member style and corporate culture.

There has been little effort to standardize the measurable variables of team effectiveness. Additionally, the means to evaluate the individual's influence on team effectiveness has not been documented in relation to the effectiveness of the team. This paper uses a specific set of constructs, which might be the optimum set of variables to measure performance, behavior, and attitude.

By considering the model suggested here, managers will be able to select individual team members to enhance team performance.

Few models have been proposed to predict the effectiveness of a team based on team member selection. This model provides anyone selecting team members with a model to use when choosing among technically qualified candidates.

This study relies on the theory of planned behavior (Ajzen, 1985) to examine the antecedents of regular exercise in the audit profession; in addition, the research model tested herein includes two key consequences of exercise: physical healthiness and subjective vitality (one dimension of psychological healthiness). A total of 490 auditors (154 from a large regional CPA firm and 336 from a Big-4 CPA firm) participated in the survey. The results indicate that the antecedents of exercise, as articulated by the theory of planned behavior (attitudes, social norms, and perceived behavioral control), are significantly and positively related to actual exercise behavior. As a consequence of exercising, the auditors indicated improved physical and psychological healthiness. From a theoretical perspective, this is the first study to our knowledge to test both antecedents and consequences of exercise in a single model. Practically, the results suggest that CPA firms should create a culture where engaging in regular exercise is expected, accepted, and encouraged; additionally, firms should ensure that auditors have the opportunity and means to exercise on a regular basis, particularly when they are on the road working at client sites. Rising health care costs are a concern for all employers and employees. A greater understanding of how to improve the physical and psychological healthiness of employees will benefit individuals, organizations, and societies.

This paper will draw upon data collected from two professional accounting firms, to examine the extent to which culture of a professional firm can be used to control employees’ overall physical appearance, behavior, attitudes, social network and also personal and intimate decisions like when and whom to marry. This paper will deconstruct the various concepts of culture found in the case studies to uncover the existing power struggles.

The purpose of this research was to study the nature and extent of differences, if any, between male and female grocery shoppers in terms of grocery shopping behavior and attitudes and with respect to those store criteria that are important in selecting a food store. The results suggest that the underlying constructs influencing grocery shopping behavior and attitudes are basically the same for the male and female shoppers; however, the findings indicated that the degree to which some of these behavior/attitude factors impact resulted in a difference in grocery shopping patterns between the sexes. Further, even though some differences were observed in the relative importance rankings of 22 store‐selection criteria, the overriding pattern was one of congruence between the two groups of respondents. The paper concludes with a discussion of the strategic implications of the findings for the food retailer.

Using the modified theory of planned behavior, this study aims to understand residents’ supporting or rejecting mindsets toward legalizing gambling in Kinmen, Taiwan, where exists a complex and somewhat contradictory relationships between economic growth and the preservation of the natural environment in the context of tourism specifically to small island destinations. This study develops a convenience sampling procedure in which 365 questionnaires are collected. A series of hypotheses tests are conducted via structural equation modeling. This study notices that perceived behavioral control is the most important attribute affecting behavioral intention. However, behavioral intention does not necessarily lead to actual behavior. Attitude is considered as a more reliable predictor of actual action. Attitude relied heavily on positive perceived behavioral control. Further, the respondents are concerned more about how legalizing gambling affects their current lifestyle.

The existing literature offers various perspectives on integrating cryptocurrencies into investment portfolios; yet, there is a gap in understanding the behaviours, attitudes and cross-investment links of individual investors. This study, grounded in the modern portfolio theory and the random walk theory, aims to add empirical insights that are specific to the UK context. It explores four hypotheses related to the influence of socio-demographics, digital adoption, cross-investment behaviours and financial attitudes on cryptocurrency owners.

This study uses a logistic regression model with secondary data from the Financial Lives Survey 2020 to assess the factors impacting cryptocurrency ownership. A total of 29 variables are used, categorized into four groups aligned with the hypotheses. Additionally, hierarchical clustering analysis was conducted to further explore the cross-investment links.

The study reveals a significant lack of diversification among UK cryptocurrency investors, a pronounced inclination towards high-risk investments such as peer-to-peer lending and crowdfunding, and parallels with gambling behaviours, including financial dissatisfaction and a propensity for risk-taking. It highlights the influence of demographic traits, risk tolerance, technological literacy and emotional attitudes on cryptocurrency investment decisions.

This study provides valuable insights into cryptocurrency regulation and retail investor protection, underscoring the necessity for tailored financial education and a holistic regulatory approach for investment products with comparable risk levels, with the aim of minimizing regulatory arbitrage. It significantly enhances our understanding of the unique dynamics of cryptocurrency investments within the evolving financial landscape.

India is an emerging economy and one of the preferred investment destinations for environmental, social and governance (ESG) fund issuers. Institutional investors invest retail investors’ money, and hence, it becomes imperative for ESG fund managers to understand the social investment preferences of retail investors. This study aims to compare the Indian socially responsible (SR) investors and conventional investors in terms of their socially responsible investment (SRI) awareness level, opinions about broad and specific ESG issues, investment behavior and demographics. In addition, this paper makes an attempt to have a deeper insight into Indian investors’ behavior toward SRI by segmenting the Indian retail investors based on their SRI awareness level, attitude toward ESG issues and intention to accept lower financial returns, and choices made by them as consumers.

After collecting the data through the survey method an independent t-test is used to compare SR investors with conventional investors. Chi-square has been used to analyze the data related to demographics, and cluster analysis is used to identify segments among Indian retail investors.

The results indicated that Indian SR investors’ SRI awareness level is more, they are more concerned about broad and specific ESG issues, they are more into faith-based investing, and are responsible consumers vis-à-vis conventional investors. As per demographic, SR investors are in the middle age group of 30–40 years, male, hold a postgraduate degree and have an annual income of 10–20 lakhs in comparison to conventional investors. The results of cluster analysis indicated that Indian retail investors can be classified into three groups based on their SRI awareness, intention to sacrifice financial return, attitude toward ESG issues and choices made by them as consumers.

Results have implications for national and international fund managers, policymakers, regulators and society. These results will help mutual fund companies to provide curated SR mutual funds as per the behavior and choice of retail investors and penetrate the Indian investment market more deeply.

This research study contributes to the literature on SRI by identifying the differentiating characteristics of Indian SR and conventional investors and segmenting Indian retail investors on the basis of their SRI awareness, the importance of ESG issues and choices made by them as investors and consumers.