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Understanding people’s intentions to be an internet entrepreneur is an important issue for educators, academics and practitioners. The purpose of this paper is to develop and validate a scale to measure internet entrepreneurial self-efficacy.

Based on an analysis of 356 responses, a scale of internet entrepreneurial self-efficacy is validated in accordance with established scale development procedures.

The internet entrepreneurial self-efficacy scale has 16 items under three factors (i.e. leadership, technology utilization and internet marketing and e-commerce). The scale demonstrated adequate convergent validity, discriminant validity and criterion-related validity. Nomological validity was established by the positive correlation between the scale and, respectively, internet entrepreneurship knowledge and entrepreneurial intention.

This study is a pioneering effort to develop and validate a scale to measure internet entrepreneurial self-efficacy. The results of this study are helpful to researchers in building internet entrepreneurship theories and to educators in assessing and promoting individuals’ internet entrepreneurial self-efficacy and behavior.

This study aims to examine the effects of internet self-efficacy and internet involvement on privacy concern and the effect of privacy concern on the frequency of online transactions. The study also seeks to examine the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions.

A structural equation model was developed to test the hypotheses. The model was tested using the LISREL 8.8 software and both structural and measurement parameters were estimated.

Findings suggest that internet self-efficacy and internet involvement affect privacy concern negatively; and privacy concern, in turn, affects frequency of online transactions negatively. Findings also indicate that the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions is positive. All parameters are significant and in the hypothesized direction.

Findings highlight the significance of internet self-efficacy and internet involvement in explaining both privacy concern and online transactions. The negative impact of privacy concern shows strategically why businesses should take measures to protect privacy of consumers and assure them that the information they provide is protected and secure.

This research contributes to the debate on privacy concern and adds to the growing body of literature on the impact of privacy concern on online transactions. Both antecedents and consequence of privacy concern are examined in the study.

The digital transformation of family-owned small businesses (F-OSBs) has become a critical area of research to maintain their economic contribution in today’s rapidly evolving digital landscape. This study examines the effect of internet entrepreneurial self-efficacy on the digital transformation of F-OSBs by mediating strategic agility and moderating artificial intelligence usage.

This study employed a cross-sectional survey design to collect primary data from 378 descendent entrepreneurs of F-OSBs in Pakistan’s five major cities.

The study revealed that leadership ability, internet marketing, technology utilization, and artificial intelligence used by the F-OSBs can contribute to their digital transformation, but e-commerce ability does not. The strategic agility of the descendant entrepreneur enhances the abilities of e-commerce, leadership, and technology utilization, leading to the digital transformation of F-OSB. However, strategic agility reduces the role of Internet marketing in digital transformation. Artificial intelligence usage moderates leadership’s ability to improve strategic agility but increases technology utilization for strategic agility and digital transformation of F-OSB.

The digital transformation through a combination of strategic agility and artificial intelligence can increase the F-OSBs' proactive approach to respond to changing market conditions even during economic recessions like COVID-19.

This study broadens the existing literature by examining the effect of descendent entrepreneur’s internet entrepreneurial self-efficacy, strategic agility, artificial intelligence usage, and their interplay on the digital transformation of F-OSB through the unified theory of acceptance and the use of technology.

In a voluntary consumer market, the consumer's decision‐making process is still a magnetic topic although a large number of related studies have been conducted. The purpose of this paper is to explore the determining factors for the future adoption of an innovation service and proposes a new model to better explain consumer's adoption intention.

Social cognitive theory is introduced in the paper to explore consumer behavior in terms of triadic and reciprocal causation among value, self‐efficacy, and adoption constructs. Based on the theoretical framework, a self‐efficacy‐based value adoption model (SVAM) is proposed to study the adoption of mobile auction (m‐auction) – one of mobile‐internet services in an empirical manner. The analysis of measurement and structural model is conducted via LISREL 8.80.

Research results indicate that the instruments are reliable and valid and the model is well accepted. Perceived functional, social, and emotional values are tested to have a significant influence on perceived value. Perceived cost is negatively related to perceived value and positively to attitude. m‐auction self‐efficacy (MASE) comes from subjective and objective general self‐efficacy, which not only directly impacts attitude but also strongly influences perception of all the antecedents of perceived value.

Although SVAM is proved to be successful in this paper, it still needs more experimental research from different research contexts and authors to be supported.

Compared with previous research on innovation adoption, results show that the model is more effective in explaining the adoption intention (R²=0.72). Just like perceived value has a significantly impact on attitude, self‐efficacy of m‐auction has an essential role in perceived values and cost and attitude. The result fully demonstrates that the value adoption model based on self‐efficacy is a better technology acceptance model, especially for a voluntary consumer market.

This study aims to focus on how preservice teachers' academic achievements, their frequencies of connecting to the distance learning management system, their gender and the related sub-scales influence their Web-based self-efficacies (WEB-PCK) and their attitudes towards distance education (WBI).

In the study, the structural equality model was used. In the path analysis, the maximum likelihood estimation method was used to predict the parameters of the model. This method allows determining the highest values for the population and the probability of the sample value to occur.

It was found that the sub-scale of Web communication (WEB-C) had a high level of direct and positive influence on the male preservice teachers' self-efficacy perceptions. As for the female preservice teachers, WEB-C did not have any direct influence on their self-efficacy perceptions. For the male preservice teachers, Web pedagogy (WEB-PC) had positive influence on their self-efficacy perceptions (β = 0.193), while the sub-scale of WEB-PC had a high level of influence on the female preservice teachers' self-efficacy perceptions (β = 0.534).

In the study, the purpose of was to examine the effects of the attitudes of the preservice teachers towards Web general (WEB-G), Web-Communication (WEB-C), Web pedagogical knowledge (WEB-PK), Web pedagogical self-efficacy (WEB-PCK) and Web-based instruction (WBI) with the help of the structural equation model with respect to gender, frequency of connection to the internet and academic achievement grades.

The integration of relevant antecedents into TAM would lead to better understanding of the decision factors which act as enablers for the adoption of internet banking. The purpose of the paper is to determine the influence of the antecedents subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk, trialability and government support on the existing constructs of the technology acceptance model (TAM) and to test measurement invariance and the moderating effect of the demographic variables on the relationship between the latent constructs used in this augmented TAM.

A survey questionnaire was administered on internet banking users and a total of 300 responses were collected. A two-step approach suggested by Hair et al. (2006) and Schumacker and Lomax (2004) was used in this study. The proposed model was assessed using the confirmatory factor analysis approach. The structural model was then tested in order to establish nomological validity. The data based on four demographic dimensions gender, age, income, education were divided into two groups for each of these demographic dimensions. The invariance test was first performed on the measurement model and then on the structural model. The measurement model and structural model were subjected to tests of equivalence of parameters across groups.

To a large extent the results of the study supports the proposed model and thereby contributes to understand the influence of subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk and government support on internet banking adoption. The predictor variables in the augmented TAM were able to explain 29.9 per cent of the variance in the actual usage of internet banking as compared to the TAM which was able to explain only 26.5 per cent variance in the actual usage of internet banking. A significant difference in the relationship between the different constructs of the model was observed when the model was subjected to multi-group invariance testing.

The study suffers from the same limitations as most other studies involving TAM. In this study self-reported measures about the usage were taken as the actual usage. The findings of the study can be of use to marketers for target-specific marketing by customizing the marketing campaign focussing on the factors that were found to be strong influencers leading to the usage of internet banking for each target audience.

The main challenge in this study was to develop the conceptual model for the internet banking adoption by extending the TAM and to get a robust theoretical support from the extant literature for the relevant factors along with their relationship to uncover new insights about factors responsible for the internet banking adoption. The augmented model had an improved predictive capability and explanatory utility.

Although consumer sophistication and empowerment is on the rise as a result of the digital revolution, there is insufficient academic exploration with the aim of understanding how this empowerment functions on the internet. Therefore, the purpose of this paper is to fill this gap by proposing a new conceptual model in light of available literature.

The paper employs a deep and broad literature review and discussion regarding possible consumer power sources on the internet to develop the proposed conceptual model, which is defined as consumer empowerment model (CEM). The components of the model are discussed in detail to reveal possible links, consumer empowerment actualization, and impacts on consumer markets on the internet.

The components of CEM are structured in light of the theory of reasoned action's main proposals as follows: “Perceived consumer power,” “Perceived consumer trust,” “Attitudinal consumer power” and finally “Behavioral consumer power.” Each component is discussed in terms of its possible contributions to the model in order to illustrate how this new form of consumer power actually works. The possible implications of consumer empowerment are also discussed in light of the newly proposed model.

There is no paper discussing how consumer power actualization works and thus how consumer power revolutionizes today's cyberspaces. In this context, the study is the first of its kind.

This study examines motivational factors influencing one's intention to continue using WWW applications. Social cognitive theory is adapted and integrated with expectancy disconfirmation theory and empirical findings from prior studies about continued use of information systems. Research hypotheses derived from this model are empirically validated using the responses to a survey on WWW usage, collected from 235 users. Results suggest that users’ continuance intention is determined by their satisfaction with prior use, internet self‐efficacy, and outcome expectations. Outcome expectation, in turn, is influenced by their satisfaction with prior use and prior perceived confirmation. This study draws attention to the substantial differences between acceptance and continuance. Implications for practice and further research are considered.

The author reflects the conceptual and practical questions of network competence in the context of information seeking. Network competence is seen as one of the information‐related competences and is defined as the mastery of four major areas: knowledge of information resources available on the Internet, skilled use of the ICT tools to access information, judgment of the relevance of information, and communication. Drawing on the ideas of the social cognitive theory developed by Albert Bandura, a model of network competence is introduced in order to discuss network competence “in action”. In the model, network competence is put in practical context by relating five major factors: network competence, self‐efficacy, outcome expectations, affective factors such as anxiety, and experiences received from information seeking on the Internet. Particular attention is devoted to the connections between network competence and self‐efficacy which denote a person’s judgment of his or her ability to organize and execute action, such as finding information on the Web.

User behavior in online information evaluation is the result of a multitude of factors related to social, cultural, personal and psychological issues. The present study aimed to examine the effects of three important psychological variables including personality, self-efficacy and attitude on online information evaluation.

Four validated measures were administrated in person and online among 355 postgraduate students at Shahed University, Tehran, Iran. For testing the possible relationships among the variables, the reliability, normality and Pearson correlation tests were performed by using SPSS 24.0. Moreover, to test the ten hypotheses of the research, the structural equation modeling was considered using AMOS 26.0.

The findings confirmed the first five research hypotheses indicating the direct positive relationships among the four variables except for the impact of self-efficacy on attitude. The mediated effects of the variables were not supported except for the mediating role of attitude in the impact of personality on online evaluation behavior. The variable personality was found to be fundamental among the tested paths because it influenced the information evaluation behavior, both directly and indirectly.

The study showed the impacts of the three variables, which demonstrates that online information evaluation is greatly affected by psychological factors.