Search results

The purpose of this paper is to investigate the mediating effects of organization-based self-esteem (OBSE) for the relationship between workplace ostracism with helping behavior, voicing behavior, in-role behavior, and deviant behavior. The workplace has now become a social context where ostracism occurs and the study emphasizes how ostracism can affect workplace behaviors.

The study was designed using a three-wave self-reported survey. Confirmatory factor analysis, structural equation modeling, and bootstrapping for indirect effects were conducted to test the study’s hypotheses.

The study found OBSE to fully mediate the relationship between workplace ostracism and helping behavior, voicing behavior, and in-role behavior, while OBSE partially mediated workplace ostracism and deviant behavior as workplace ostracism was found to have a direct effect on deviant behavior.

The study explores and empirically tests the mediating effects of OBSE with helping behavior, voicing behavior, in-role behavior, and deviant behavior. Therefore, the study extends research on workplace ostracism by investigating beyond the direct effects of workplace ostracism on workplace behaviors.

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.

This paper discusses a case of truck sharing as an application of the sharing economy. This case study examines a real mixed feed company with multiple factories. In this company’s operation, bulk trucks located in a factory had not previously been shared for delivery with other factories to their pre-assigned customers of stock farms. Therefore, this paper suggests a new delivery system that facilitates truck-sharing and analyzes its effects on the transport cost and trucks’ CO₂ emissions. To this end, this paper develops vehicle routing models to represent the current delivery practice and the new truck-shared delivery (TSD). In addition, models are developed for a carbon control policy of an emission trading scheme (ETS) and the effects of the ETS on truck-sharing are investigated. Numerical analysis is conducted to identify the effects of the TSD and the carbon control policy and draw practical implications.

This study examines the effects of employees' personal social media posts on external publics' online engagement and offline word-of-mouth (WOM) intentions about a company. Specifically, it investigates how employee post characteristics including valence and content and employer reputation jointly influence publics' online and offline behaviors.

A 2 (post valence: positive vs. negative) × 2 (post content: organization-related vs. job-related) × 2 (employer reputation: good vs. bad) between-subjects experiment was conducted. Participants were asked to view a stimulus social media post created by a fictitious company employee, reflecting one of the eight experimental conditions on a random basis. After viewing, they were requested to report their online engagement intentions (i.e., “like,” “share” and “comment”) with the post and offline WOM intentions about the company.

The experimental results showed that participants expressed more “like” intentions when they viewed a positive post than a negative post. Further, they were more likely to “comment” on a job-related post as opposed to an organization-related post. In addition, a significant interaction effect between post valence and employer reputation on publics' online engagement was found, which in turn influenced their offline WOM intentions about the company.

This study is among the first empirical attempts to examine the effectiveness of employees' personal social media posts on external publics' online and offline behaviors. The experimental findings highlight the importance of managing employee relations from a corporate reputation perspective.

This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.

The purpose of this paper is to outline a framework for marketing cultural goods (e.g. music) to global markets by examining modes of entry and positioning strategies used by media producers of the South Korean music industry.

An historic analysis was implemented to investigate the modalities and structures through which cultural products are produced and disseminated. Data for this study came from 314 articles collected from www.allkpop.com, a leading English-language, South Korean popular culture news site.

The cultural technology framework consists of the institutionalization of cultural technology, exportation of cultural content, collaborations with local talent, and joint ventures with local markets.

The findings emerge from an analysis of South Korean popular music industries, and further research is needed to generalize the results across cultural industries.

The cultural technology framework can be applied to cultural industries such as music, film, comics, and art, where culture and language could be barriers to adoption.

This study outlines a framework for the modes of entry and positioning strategies of cultural goods (e.g. music) in international markets. Extant literature has examined global marketing from the purview of durable consumer goods and brands, with limited insights into cultural products. More broadly, this paper addresses the call for more qualitative inquiry into international marketing topics.

While the origin of Korean Industrial Relations goes back 150 years when the country opened its seaports to foreign countries, it didn’t emerge as a field of study until 1950s when academics began to write books and papers on the Korean labor movement, labor laws, and labor economics. In this paper, we sketch this history and describe important events and people that contributed to the development of industrial relations in Korea. Korean industrial relations in the early 20th century were significantly distorted by the 35-year-Japanese colonial rule (1910–1945). After regaining its independence, the U.S. backed, growth-oriented, military-based, authoritarian Korean government followed suit and consistently suppressed organized labor until 1987. Finally, the 1987 Great Labor Offensive allowed the labor movement to flourish in a democratized society. Three groups were especially influential in the field of industrial relations in the early 1960s: labor activists, religious leaders, and university faculty. Since then, numerous scholars have published books and papers on Korean industrial relations, whose perspectives, goals, and processes are still being debated and argued. The Korean Industrial Relations Association (KIRA) was formed on March 25, 1990 and many other academic and practitioner associations have also come into being since then. The future of industrial relations as a field of study in Korea does not seem bright, however. Issues regarding organized labor are losing attention because of a steadily shrinking unionization rate, changing societal attitude toward labor unions, and the enactment of new and improved laws and regulations regarding employment relationships more broadly. Thus, we suggest that emerging issues such as contingent workers, works councils and tripartite partnership, conflict management, and human rights will be addressed by the field of industrial relations in Korea only if this field breaks with its traditional focus on union and union–management relations.

This study proposes a new method for detecting sentiment distribution and identifying key events in high-tech product categories, providing insights from decision-making in marketing.

Using DistilBERT, the study analyzes the sentiment of wireless earphone reviews, categorizing them and extracting labels and scores. It visualizes trends, identifies sentiment inflection points from sentiment distribution, infers events via topic analysis and compares product utility and customer sentiment.

Our approach detects key events and discloses sentiment fluctuations and product interest shifts. Innovations amplify positive responses, underscoring the dynamic consumer sentiment. This study adeptly pinpoints key events after introducing novel technologies and reveals disparities in product utility and customer sentiment pre- and post-notable sentiment changes.

This study presents a unique method that uses an event-based approach to analyze sentiment and topic shifts, providing new insights into sentiment trends and emerging topics. This new understanding of consumer preferences and trends over time can be especially valuable for better strategic decision-making in marketing.