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In a sharing economy, economically inactive members can serve as providers owing to the low start-up costs. However, such providers may operate without sufficient knowledge of the market and policies, causing significant problems. To prevent illegal sharing, governments encourage providers to register their businesses after meeting certain requirements, but most providers still operate unregistered businesses. The purpose of this paper is to explore the causes of policy non-compliance and suggest measures that can induce compliance.

Based on the rational choice and deterrence theories, this study combines qualitative and quantitative research. The former is used to investigate the antecedent factors affecting compliance. Using the latter, this study assumes that the existence of platform operators can resolve information asymmetries. The qualitative findings provide the variables that can lead to policy compliance, while the quantitative research verifies the causal relationships.

Business registration by providers in the sharing economy arises from their subjective cost-benefit calculations of policy compliance. According to the qualitative research, they believe there is a low risk of detection of policy non-compliance by the government. The quantitative research suggests that interventions by platform operators could resolve information asymmetries between the government and providers.

This study designed a mechanism to guide providers toward policy compliance. To reduce friction with the existing market and ensure efficient growth, it is necessary to cooperate with sharing economy participants. The results suggest that the role of platform operators and the government is important.

The revitalization of big data has gained attention in the public sector. However, such open government data (OGD) is facing major challenges with respect to data quality and limited use. To solve this problem, this study analyzes the factors driving the use of OGD from the perspective of data providers in the public sector.

Using the analytic hierarchy process and analytic network process methodologies, the importance of the factors driving the use of big data in the public sector was ranked. In addition, the different characteristics of tasks among the departments in a public agency were compared based on expert interviews.

The factors driving OGD use are not only political environment or the technological environment. The importance of the institutional culture within the organization increases with the motivation of the data provider. The priorities of the OGD factors also depend on the objectives of the department involved.

This study provides implications for improving the publication of open data by analyzing the priorities of the factors driving its use from the perspective of big data providers. It focuses on different perceptions of the factors valued by public officials in charge of data in institutions. The results suggest the need to explore officials' perceptions of value creation in big data fields.

The purpose of this paper is to compare customer experience (CE) between digital and traditional South Korean bank users and its relationship with customer satisfaction (CS).

A survey of bank customers was conducted, and an ANOVA test was performed to compare the means of CS between digital and traditional bank (TB) users as well as four dimensions of CE, such as usefulness, convenience, employee-customer engagement (ECE) and security. The ordinal regression analysis was also performed to test the moderation effect of digital bank (DB) use on the relationship between CE and satisfaction.

The means of usefulness were higher among DB users than TB users. By contrast, ECE and security means were lower for digital than TB users. The ordinal regression analysis indicated that DB use had a moderating effect on the relationship between convenience and CS and the relationship between ECE and CS. DB use encouraged increased positive relationships between convenience and CS, and moderated the relationship between ECE and CS in a negative direction.

ECE and security for DBs is weak. Therefore, bank executives need to improve these areas through real-time customer services and adding authentication procedures.

Unlike previous studies, this study proposed a model that reveals differences in CE between traditional and DB users. It explored the effects of CE on CS to contribute to the continued development of South Korean DBs.