Sanghyun Kim

Individuals and businesses engage in a number of activities in the digital environment. During unexpected circumstances, such as COVID-19, many people used the internet for purposes such as education, work, and entertainment. This has led to a rapid growth in the content industry. Thus, studies of the sustainability and success of content companies are essential. Few empirical studies focus on these aspects of content companies, particularly concentrating on the importance of management and innovation capability. This study examines the roles of management and innovation capabilities and the human, technical, and organizational factors that affect these capabilities. This, in turn, positively affects the sustainability and success of content companies. The proposed research model includes content development ability and leadership as a human factor, technical support and information technology (IT) infrastructure as a technical factor, and top management and financial support as an organizational factor. A total of 255 responses were collected from upper management-level employees at various firms in the content industry. Covariance-based structural equation modeling was used with Amos 22.0. The results indicated that all proposed hypotheses were supported with the exception of the hypothesis that tests the relationship between content development and management capability. The study findings provide information necessary for future sustainability and success of content companies.

Information security management (ISM) has emerged as a major challenge to sustainable management of companies that highly rely on information technology (IT). To achieve organizational sustainability for managing assets, it is critical for all members of the organization to be assimilated into ISM. An important consideration of ISM assimilation is sustainable IT capabilities. However, so far, there are limited empirical studies on ISM assimilation, particularly those focusing on importance of the organization’s sustainable IT capabilities. Therefore, this study proposes three sustainable IT capabilities (viz., IT infrastructure, IT business spanning capability, and IT proactive stance) with their antecedents based on the existing research, and attempts to empirically prove the impact of these sustainable IT capabilities on ISM assimilation for sustainable management of assets. Additionally, this study proposes policy-to-technology balance as a moderator on the relationships between the three sustainable IT capabilities and ISM assimilation to examine the impact of the non-technical aspect. Responses from 232 upper-management-level employees at various firms currently implementing ISM were collected. Structural equation analysis was run using AMOS 22.0. The results show that the three sustainable IT capabilities were found to have a positive effect on ISM. Furthermore, policy-to-technology balance was found to strengthen the relationship between two IT capabilities (IT infrastructure and IT business spanning capability) and ISM assimilation. However, it emerges that the policy-to-technology balance does not impact IT proactive stance and assimilation. The findings provide meaningful information for future research on sustainable IT capabilities and ISM along with key guidance for the organization to establish a complementary strategy for sustainable assets.

New technologies are driving rapid change and innovation in the industrial structure. In this environment, individuals’ use of contents also changes remarkably. This study aims to empirically prove why individuals switch from traditional to augmented/virtual reality (AR/VR) content services. We propose a research model and hypotheses based on data collected from existing research and AR/VR users. To explain individuals’ switch, we include three constructs for the push effects (low usefulness, functional simplicity, and perceived inefficiency) and three constructs for the pull effects (interactivity, experienceability, and amplified enjoyment) in our proposed model based on the most valid push-pull-mooring. Furthermore, we propose personal innovativeness as a mooring effect on the relationships between push/pull effects and switching intention to AR/VR content services. The data (n = 465) from actual AR/VR users were collected and analyzed using structural equation modeling with AMOS 22.0. Results empirically prove that all push/pull constructs, with the exception of perceived inefficiency, have a significant impact on switching intention. Moreover, a mooring effect—personal innovativeness—strengthens all paths in the research model, except that between perceived inefficiency and switching intention. The findings of this study would provide theoretical and practical implications for understanding individuals’ perceptions regarding AR/VR content services.

In this study, we use the attentional phase of social learning theory to link workplace security-related experiences and observations to employees’ security awareness. The responses of 398 organizational employees serve to test our research model using structural equational modeling with AMOS 22.0. The results show security awareness arises from both explicit and subjective security experiences in the workplace. Our respondents indicate knowledge of a physical system has little, if any, effect on security awareness. However, security education, policy, visibility and managerial security participation are important for producing security awareness. Furthermore, managerial participation strengthens the links between organizational security efforts and security awareness. We discuss the implications of our study for future security compliance research and practice.

Social network service (SNS) information has benefited many individuals. However, as such information has increased exponentially, the number of SNS users has increased dramatically and negative effects of SNSs on users have emerged. Many SNS users experience negative psychological conditions such as fatigue, burnout, and stress. Thus, in this study, we investigated the SNS and user characteristics that affect SNS fatigue, living disorder, and reduced SNS use intention. We developed a research model to examine the impact of two SNS characteristics (irrelevant information overload and open reachability) and two user characteristics (engagement and maintaining self-reputation) on SNS fatigue. We also examined the role of the experience of privacy violations in the relationship between living disorder and reduced SNS use intention. We collected data from 579 SNS users and created a partial least squares structural equation model to test the hypotheses. The results of the analysis showed that three factors, other than open reachability, positively affected SNS fatigue. Furthermore, we found that SNS fatigue significantly affected living disorder and reduced SNS use intention, and that experience of privacy violations significantly affected the relationship between living disorder and reduced SNS use intention. These results expand our understanding of SNS fatigue and users’ negative behaviors.

Robot technology at small- and medium-sized enterprises has become a crucial part of current business operations. Beginning with the manufacturing industry, more industries than ever before have recently begun making use of robot technology to increase operational efficiency and productivity. However, prior studies regarding innovation related to intelligent robot use have been limited to developing strategies for describing robot technologies in general. Therefore, we developed a research model for investigating process innovation as it relates to intelligent robots. Based on the literature, two variables of technology benefits (direct usefulness and indirect usefulness) and two constructs of environmental pressure (industry and government) were incorporated into the research model as key determinants of a firm’s process innovation. Furthermore, organizational supports as moderating variables were added to the relationship between technology benefits and process innovation. We collected 257 responses in managerial position at various firms in order to test the proposed hypotheses using structural equation modeling in the statistical software (AMOS 22.0). The results revealed that all variables have a significant impact on process innovation, as well as the moderator. The findings of this study provide theoretical and practical implications for process innovation based on intelligent robot technology.

Many companies, particularly small and medium enterprises (SMEs), use open source software (OSS) to promote the strategic application of their information technology assets. Several studies have claimed that male and female employees in SMEs differ in their use of various information technologies. This study investigates the factors influencing the perceived usefulness of and satisfaction with OSS among employees at SMEs in various industries, specifically comparing male and female employee perceptions. For this purpose, this study uses a proposed research model to examine the effects of quality factors—such as ease of maintenance, cost advantage, customization, and job relevance—on perceived usefulness of and satisfaction with OSS. Data were collected from 328 randomly selected survey responses of employees in various organizations using OSS. A structural equational model was created using AMOS 22.0 to test the proposed hypotheses in the research model. Results show that all OSS quality factors were significantly related to the perceived usefulness of OSS in both genders, positively affecting satisfaction. Moreover, the perceptions of male and female employees differed in relation to each research model variable. These findings suggest that employees value specific OSS qualities while perceiving its usefulness and their satisfaction.

Purpose: The purpose of this paper is to empirically investigate the negative casual relationships between organizational security factors (security systems, security education, and security visibility) and individual non-compliance causes (work impediment, security system anxiety, and non-compliance behaviors of peers), which have negative influences on compliance intention. Design/methodology/approach: Based on literature review, the authors propose a research model together with hypotheses. The survey questionnaires were developed to collect data, which then validated the measurement model. The authors collected 415 responses from employees at manufacturing and service firms that had already implemented security policies. The hypothesized relationships were tested using the structural equation model approach with AMOS 18.0. Findings: Survey results validate that work impediment, security system anxiety, and non-compliance peer behaviors are the causes of employee non-compliance. In addition, the authors found that security systems, security education, and security visibility decrease instances of non-compliance. Research limitations/implications: Organizations should establish a mixture of security investment in their systems, education, and visibility in order to effectively reduce employees’ non-compliance. In addition, organizations should recognize the importance of minimizing the particular causes of employees’ non-compliance to positively increase intentions to comply with information security. Originality/value: An important issue in information security management is employee compliance. Understanding the reasons behind employees’ non-compliance is a critical issue. This paper investigates empirically why employees do not comply, and how organizations can induce employees to comply by a mixture of investments in security systems, education, and visibility.