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The purpose of this study is to review the levels of open government data (OGD) among various countries that are not consistent with the development levels of those countries. This study evaluates the associativity between OGD Index (OGD) and the characteristics of those countries as well as to compare the degree of OGD among countries. Accordingly, an advanced discussion to explore how a country’s characteristics affect how that country’s government opens data was presented.

The stakeholder relationships of OGD is analysed with the characteristics of a country. The usage data are compared with the data availability according to nine indicators. These data collected from the statistics and OGDI websites are grouped for comparative statistical analyses based on basic descriptive statistics, one-way analysis of variance and a regression model with variance inflation faction.

The results 1) revealed the reasons some countries have high-ranking indexes and 2) verified the high index values of countries in terms of their degrees of development. This study, thus, attempted to derive a balanced appraisal of national development and OGD.

The study sample is limited only to countries 1) which open the statistical data; and 2) are of uneven population density and development degree. The OGDI is limited to expert evaluation. The score might be vary to experts and users with diverse countries at different evaluation period. The limitations can be attributed to the differences between OGDI and real open levels. These differences might influence the reliability and validity.

Government departments with OGD policies provide raw data in various formats and with application interfaces for user access. This study, thus, attempts to derive a balanced appraisal of national development and OGD. The factors that evaluate which types of countries open the level of data are explored.

This study establishes stakeholder relationships of OGD and extends to analyse the characteristics of a country and OGD that affect the government data open level. The relationships are evaluated through the OGDI with design score scheme. The measurement results indicated that a country possesses high relation to open data with high DI and nature resource.

The purpose of this paper is to establish a social-network sp.orts lottery system to support users in predicting and simulating sports lottery betting. The community data were generated to support user decision and featured instant game records and odds data synchronisation. Furthermore, the next development cycle were evaluated through a questionnaire.

An extended prototype website development methodology was applied to develop the system. An online sample was collected to evaluate the function, interface, operation, and prediction designs. The χ2 test and variance analysis were used to determine the association between facets and basic demographics. Finally, the regression model was used to identify the potentially essential predictors that influence the measurement facets.

The high frequency of Facebook users, sports lottery purchases, and sports game viewers prefer the ability to predict the results of future sports games as advanced decision-making functions. However, the agent-based virtual gift presentation function was the least preferred function.

The study sample was limited only to users: who used PTT and Facebook; were of uneven age, education, and gender; and none segment groups. The study sample primarily comprised Taiwanese respondents. These differences might influence the practicality and prediction bias of the designed website and related models.

The proposed method integrates social-network messages with real-time data access by using APIs, crawler schemes, and prediction mechanisms that enable developers to devise strategies for obtaining high system satisfaction. The system can be improved by adding the results of future sports games and excluding authorised Facebook message posts.

A social-network-based sports lottery and prediction prototyping website was evaluated through a user-preference survey regarding design functions. The measurement results indicated that users share their opinions, predictions, and personal betting results and interact with their friends.

This study aims to examine members’ perceptions of interactivity in brand communities on social networking sites in the Super Basketball League (SBL) context in Taiwan.

The proposed model was empirically evaluated using survey data collected from 332 followers of the SBL teams’ Facebook pages on their perceptions of brand communities. Structural equation modeling was used to examine the relationships in the research model.

The results suggest significant relationships between perceived interactivity and community benefits, including special treatment, social influence, sense of membership and the notion that community satisfaction has a strong and positive effect on brand loyalty. Both social influence and a sense of membership positively affect community satisfaction. However, special treatment negatively affects community satisfaction. Perceived interactivity positively affects a sense of membership and social influence, which, in turn, positively affect community satisfaction.

This study examines the effects of members’ perceived interactivity and community benefits. The results significantly advance the understanding of the antecedents of members’ loyalty to specific brands. The study offers insights into practical ways of improving community satisfaction and brand loyalty by running brand communities on social networking sites. The findings also augment the theory of brand management.

The number of smartphone users has increased with the maturity of mobile networks, which has not only led to a new lifestyle but has also facilitated the development of mobile application services. Smartphones are regarded as essential communication devices. Currently, diverse groups of people are considering using mobile payment services. Thus, the motives for using mobile payment as well as individual motives for continuing usage are of great research interest. The purpose of this paper is to examine the behavioral motivations underlying individual intentions to continue using mobile payment.

To explore the factors affecting the intention to use mobile payment services, this study constructed a theoretical framework based on cost-benefit theory that also considers social influences to form an integrated research model that explains the intentions of individuals to use mobile payment services. Online questionnaires were used to evaluate individuals with experience using mobile payment services. A total of 302 questionnaires were collected. Structural equation modeling was employed to assess the relationships among factors included in the research model.

Perceived value, social norms and social self-image played crucial roles in the intention to use mobile payment services. Furthermore, perceived benefits (relative advantage and service compatibility) and perceived costs (security risks and perceived fees) determined users’ perceived value. Social self-image positively affected users’ perceived value; in the context of a mobile-oriented information system, the ability of a mobile payment service to satisfy a user’s demands with respect to social self-image influenced the user’s perceived value of using such services.

This study contributes to a theoretical understanding of factors that explain users’ intention to use mobile payment services.

Virtual reality (VR) offers unprecedented immersion and interactivity in education, and working and learning from home have become the norm during the COVID-19 pandemic. This study empirically investigated the factors affecting the use of a VR online learning system (VROLS).

To explore factors affecting users’ continuance behavioral intentions toward using VROLSs, a research framework was formed comprising factors that constitute benefits (i.e. pull factors) and costs (i.e. push factors); these factors included perceived value, flow and social influence. The data for this study were collected via online survey questionnaires. A total of 307 valid responses were used to examine the hypotheses in the research model, employing structural equation modeling (SEM) techniques.

Perceived value, flow experience and the number of peers using VR primarily affect the decision to adopt a VROLS. The pull factors of spatial presence, entertainment and service compatibility, along with the push factors of complexity and visual fatigue, affect perceived value. Therefore, we conclude that perceived value is a primary factor positively influencing both flow experience and the decision to adopt the service.

This study contributes to a theoretical understanding of factors that explain users’ intention to use VROLSs.