Purpose: This study aims to understand the antecedent of trust towards government-to-business (G2B) service in Indonesia. Trust will be viewed through four aspects, namely, cognition-based trust, personality-oriented trust, affect-based trust and experience–based trust. Then, these antecedents of trust were examined as the factors of continuance intention by extending the expected confirmation theory (ECT). Design/methodology/approach: Data were collected through a quantitative approach, and 389 respondents were involved in the study. The respondents are the investors who represent their organization which uses e-government service to report their investment activities to the Investment Coordinating Board of Indonesia. Data were analyzed using partial least square structural equation modelling approach with WarpPLS 4.0. Findings: The result shows that factors that determine a user’s trust in government online service are service quality, trust towards government entity, recommendation to use the service and user’s habit of using the service. Factors that do not determine a user’s trust in government online service is a disposition to trust. Another finding is that a user’s trust on an online service does not directly influence his/her continuance of use. Trust will impact the continuance of use through perceptions of benefits and perceived satisfaction of using the online service. Research limitations/implications: ECT is applicable in G2B process. Organizations have a perception of benefit while using a public e-service and confirm the perception through their experience while using an e-service to gain satisfaction, and this will encourage them to continue using the service. Practical implications: To improve organizations’ trust on the e-service, the government needs to improve the e-service quality (by evaluating the efficiency, privacy, user support, reliability and information quality), investor familiarity of the system (training or socialization), investor trust on the government entity (improve the employee competence) and recommendation on using the system. Originality/value: Trust dimension has also been studied to be a factor that influences the intention or continuance of use of technology; however, it has rarely been studied towards its effect in the ECT’s context. In e-government study, there are various studies related to government-to-citizen (G2C) concept. However, the research in government-to-business (G2B) area that has not been explored much.

Social media has become a very commonplace way for many people to have social interactions. The role of social media has changed from what was originally only a way to bridge social interactions, to becoming a business tool in various industries, one of which is the tourism industry. The interaction between social media users can create new ways to increase public awareness of existing tourist objects. One way to achieve that goal is by utilizing social media influencers. This study aims to identify the factors that influence the intention of the followers to follow the travel recommendations given by the influencer. This study uses the theory of follower-influencer experience and the theory of emotional dimensions, as well as their effect on the level of commitment and intention to follow the recommendation. This research was conducted by distributing surveys through social media and we managed to obtain a total of 203 valid respondents. The results of the study were analyzed using structural equation modeling (SEM), which showed that information experience and homophily experience had a significant effect on pleasure, arousal, and dominance. Pleasure and dominance have a significant effect on commitment, and commitment has a significant effect on the intention to follow the recommendation.

BACKGROUND: Transition into Industry 4.0 has had many significant impacts. Customization symbolizes leanness, flexibility, adaptability, and agility. A business operator needs to recognize the factors that contribute to better utilization of the talents of its workforce and more effective workplace learning. OBJECTIVE: The study aims to provide a construct which highlights effective workplace learning. In this context, a construct represents a broad view of various interrelated ideas and concepts which can point to academic and practical implications. METHODS: The study applies action research which is suitable when observing a transformative change. The study intends to observe and notice how the environmental factors have changed and try to predict their impacts on human capital development. To help verify the suitability of these impacts, a comparison with similar studies or findings is made. Focuses on literature reviews which look at the impacts from Industry 4.0 (on a need to tackle the waste of the talents in a workplace), recent developments of learning (on an emerging importance of informal learning), and survey’s data (on a shift in a workplace’s expectation on the workers). RESULTS: Workplace learning has gradually replaced training and education. The proposed construct can help tackle the underutilization of the talents in a workplace as the workers are nowadays expected to perform the tasks and learn at the same time. CONCLUSIONS: Sustaining learning in a workplace needs to understand behavior, motivation, emotion, and workplace engagement. Informal learning, which reflects the individualization of learning, can enable an organization to deal with workplace learning.

Purpose: This study aims to propose strategies to address the identified major barriers for giving the public open access to government data. The study adopts fuzzy analytical hierarchy process and technique for order performance by similarity to ideal solution (AHP-TOPSIS) to weigh the barriers and strategies, and it subsequently involves experts to identify and weigh the barriers and strategies. A case of Indonesia is used to contextualize the study.Design/methodology/approach: The data were collected using fuzzy AHP-TOPSIS-based questionnaires given to several government representatives who had been working with data and information. The respondents were given sets of pairwise comparisons of which they were asked to compare the level of importance using one to nine fuzzy numbers between barriers and strategies. The data were then calculated using the fuzzy AHP-TOPSIS formula to obtain each weight of the barriers and strategies. The weight is used to prioritize the barrier and strategies.Findings: In total, five barrier categories in the order of importance, namely, legal and privacy; government culture; social; technical; and economic, were identified from 27 barriers. In total, ten strategies of open government data (OGD) adoption were identified and ranked in the order of importance, and they can be grouped into five priorities. Priority 1 is to involve stakeholders in OGD planning and establish an OGD competence center. Priority 2 is to develop a legal compliance framework. Priority 3 is to adopt OGD gradually. Priority 4 is to create a collaboration feature on the portal for stakeholder communication and raise public awareness of OGD. Priority 5, finally, is to conduct training for government officials, develop standard operating practice for OGD management, use standard data formats and provide metadata.Research limitations/implications: This study provides a perspective from the government’s view. One suggestion for future research is to conduct a study from the public’s perspective to formulate strategies based on the identified citizens’ barriers in using OGD. In addition, cross-country (of different characteristics) studies were required to generalize the findings.Practical implications: The first strategy of the first priority implies that government institutions should be able to develop a preliminary plan to involve relevant stakeholders in OGD planning, which includes identifying relevant stakeholders and continuously engaging them to participate in the planning phase of OGD. The second strategy in the first priority entails that government institutions should realize an OGD competence center by creating a virtual team whose members are from various backgrounds and who are very knowledgeable about OGD and how to manage OGD in government institutions.Originality/value: This research provides key strategies to address the main barriers to giving the public open access to government data.

Purpose: The purpose of this paper is to identify critical factors for effective business value chains in the electrical and electronic industries. This knowledge can benefit private firms as well as their supplier management and customer fulfillment, and public agencies for relevant policy initiatives.Design/methodology/approach: The research methodology includes the survey development and the statistical analyses, especially the use of the Pearson correlation. Altogether, a total of 129 firms participated in this study, 97 companies from Hong Kong and 32 firms from Thailand. Included in this methodology are a pre‐test of a survey and follow‐up discussions with participating executives.Findings: An effective business value chain essentially depends on good operational systems and management, and information and communication technology (ICT) linkages with both suppliers and customers. There are a total of five critical factors for effective business value chains. For example, an effective business value chain is influenced by how well production and delivery systems are managed. In addition, how well a manufacturer can manage its operation is influenced by customers with effective information and communication infrastructures.Practical implications: The five identified factors can be used as a checklist for planning and/or monitoring the effectiveness of a business value chain. The findings also helps develop a new initiative to be undertaken by Thailand's Department of Industrial Work when attempting to strengthen business value chains within various industrial clusters.Originality/value: The findings underline the need to focus on data harmonization and to adapt ICT standards, such as Control Objectives for Information and related Technology COBIT and Projects in Controlled Environments PRINCE for data sharing and software development, to promote supplier audits when sustaining a business value chain.