Hyeon Jo

• Doctor of management engineering
• Researcher at HJ Institute of Technology and Management

The pervasive nature of cyberbullying among adolescents necessitates a nuanced understanding of its underlying factors. This study examines the relationships between various predictors and cyberbullying behaviors, focusing on discriminant prejudice, exposure to harmful content, digital sex crimes, and cyberbullying education. Utilizing Partial Leas...

This study delves into the burgeoning field of game-based metaverses, aiming to unravel the factors that influence user satisfaction and engagement in these digital environments. Grounded in Uses and Gratifications Theory and Flow Theory, this study explains how user motivations—perceived enjoyment, escapism, reward, and spontaneity—contribute to i...

The fourth industrial revolution has accelerated the development of artificial intelligence (AI). AI has permeated our lives by being installed as an assistant on smartphones. This study tries to pinpoint the critical factors influencing continued intention to use AI voice assistants. It provides a theoretical framework in which explanatory factors...

In the dynamic field of organizational behavior, comprehending the determinants of employee engagement, burnout, and job satisfaction is pivotal. This research investigates the influence of various workplace factors, such as recognition, fairness, leadership, and workload, on these key employee outcomes. Utilizing Partial Least Squares Structural E...

Objective This study investigates the influence of psychological factors—specifically affective and cognitive risk perceptions, social distancing attitudes, subjective norms, and cabin fever syndrome—on smartphone usage intensity during the COVID-19 pandemic, with a particular focus on university students. Methods Utilizing a cross-sectional surve...

The burgeoning metaverse market, encompassing virtual and augmented reality, gaming, and manufacturing processes, presents a unique domain for studying user behavior. This study delineates a research framework to investigate the antecedents of behavioral intention, bifurcating users into inexperienced and experienced cohorts. Utilizing a cross-sect...

Plain language summary Why People Switch to New Technologies in Factories: A Simple Guide Imagine you’re using an old phone and decide to switch to a new smartphone because it has better features. Similarly, workers in factories sometimes decide to change the technology they use, moving from older systems to newer, smarter ones. This study looks at...

Amid the rapid advancement of technology, social robots are increasingly becoming a part of human society. This study explored the associations between promotion focus, prevention focus, anthropomorphism, facial expression, monetary sacrifice, and overall attitudes with users’ intention to use social robots. We employed a survey-based design and an...

With the emergence of wellness as a significant lifestyle consideration, its influence on various life aspects, including travel, is gaining attention. This study aims to explore the intricate relationship between social wellness, physiological needs, safety-security needs, self-actualization needs, and travel intention. Utilizing partial least squ...

As the esports industry continues its rapid growth, new opportunities such as the metaverse and non-fungible tokens (NFTs) are emerging, driven by the inherently digital nature of esports. To better understand viewer engagement in this evolving landscape, this study investigates viewer behavior in the context of watching esports. A survey was condu...

The environmental impact of the golf industry has garnered increasing attention, emphasizing the need for sustainable practices in golf course management. This study aims to develop strategic frameworks that enable the golf industry to address global environmental challenges and integrate eco-friendly principles. Utilizing topic modeling, the resea...

Plain language summary Understanding What Drives People to Recommend Online Platforms: Insights from a Study on Consumer Practices Have you ever wondered why some people are eager to recommend online contests and platforms to others? Our study dives into this question, focusing on online consumer practices (OCPs) - basically, how people engage with...

In an era marked by rapid digital transformation, understanding the factors that influence digital engagement is crucial for bridging the digital divide. This study aims to explore the impact of individual factors such as networking motive, social media use, content service usage, and economic activity on digital transformation awareness and satisf...

Purpose This research aims to examine the integral elements of omnichannel retailing, an evolving approach that blends online and offline shopping experiences. It focuses on how various factors – merchandise variety, monetary saving, personal interaction, complaint handling, social influence, perceived crowd and skepticism – affect relative advanta...

The widespread adoption of smartphones coupled with advancements in artificial intelligence has significantly propelled the use of intelligent personal assistants (IPAs). These digital assistants have become indispensable for many users, particularly during the COVID-19 pandemic. Employing coviance-based structural equation modeling (CB-SEM) and an...

This research undertakes a thorough investigation into the adoption of social robots, an emerging field of significance as these technologies become more ingrained in daily life. By focusing on critical aspects that shape social robot adoption, this study illuminates the key determinants that influence user intentions. Using partial least squares s...

Smartphones have permeated daily human life and play a role in various areas. Loyalty to smartphones holds significant implications for both businesses and customers. This study constructed a research model that considers smartphones as parallel to telecom services. The model comprises devices and mobile carriers as the main axes. The study designa...

Artificial Intelligence (AI) chatbots are increasingly becoming integral components of the digital learning ecosystem. As AI technologies continue to evolve, it is crucial to understand the factors influencing their adoption and use among students in higher education. This study is undertaken against this backdrop to explore the behavioral determin...

Purpose This study examines the key determinants of subscription intentions for ChatGPT Plus (paid version) in business settings, focusing on tasks such as system quality, information support, service quality, perceived intelligence, goal-congruent outcome and self-efficacy. Design/methodology/approach The study utilized a survey of office workers...

Noise-induced hearing loss (NIHL) is a significant occupational health concern, particularly in industries with high levels of noise exposure. This study examines the effects of NIHL on sleep quality, daily life health conditions, and workplace health problems among workers. A total of 1285 workers participated in the study, and the data were analy...

This study investigates the determinants of loyalty, purchase intention, and word-of-mouth (WOM) recommendations in the context of virtual reality (VR) technology, focusing on sensory design components such as visual (color, navigation design, aesthetics, shape, and product design), tactile (touch), and auditory (audio) elements. Employing partial...

The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users o...

Plain Language Summary In our study, we wanted to understand what makes customers loyal to brands that have both online and physical store presence, known as “omnichannel” retailers. To do this, we examined factors like personal interaction, how many different products are offered, and how customers perceive crowdedness both online and in-store. We...

This study explores the key factors determining the success of online learning during the COVID-19 isolation. The analytical framework clarifies the role of social distancing attitude, social distancing intention, attitude towards online learning, and perceived value in developing user satisfaction. The research model was validated by fitting data...

In the ever-evolving domain of artificial intelligence (AI), understanding how users interact with AI-driven solutions, like ChatGPT, has become vital. The purpose of this research is to explore factors influencing user satisfaction and their willingness to subscribe to ChatGPT’s superior services. Employing partial least squares structural equatio...

Occupational noise exposure is a pervasive issue in many industries, leading to a range of health issues and sleep disturbances among workers. Additionally, there is a strong desire among these workers to prevent industrial accidents. This study, aimed at enhancing worker health and well-being, utilized a survey distributed by the Korean Confederat...

In today's digital age, most individuals own smartphones and routinely use telecom services. As a result, understanding users' intentions to continue using specific mobile carriers based on their experiences becomes paramount for corporate sustainability. This study delves into the intricate dynamics of user experiences, aiming to elucidate the pri...

With the rapid advancements in AI technology and its growing impact on various aspects of daily life, understanding the factors that influence users' adoption intention becomes essential. This study focuses on the determinants affecting the adoption intention of ChatGPT, an AI-driven language model, among university students. The research extends t...

The COVID-19 pandemic has reached global proportions, leading to significant shifts in societal norms, including the adoption of online education as a safety measure. This research delves into the factors that drive the advantages associated with e-learning, with a focus on the influences of attitudes towards social distancing, perceived value, and...

The rapid proliferation of mobile apps and their increasing usage have led to growing concerns about potential addiction among users. Previous research has identified several factors that contribute to addiction, including flow, perceived enjoyment, and habit. However, the underlying mechanisms and the role of affective factors remain unclear. This...

Enterprise resource planning (ERP) systems have become indispensable within companies due to their substantial functions and benefits. With a plethora of ERP systems available in the market, management is offered a broad array of options. This paper endeavours to identify the determinants influencing the switching intention of ERP users. Utilizing...

This study aims to explore the determinants of user behaviors toward an artificial intelligence (AI) tool, ChatGPT, focusing on university students and office workers. In this study, we present a comprehensive model to understand user engagement with AI tools, specifically focusing on ChatGPT. The model is grounded on four primary stages, each cont...

This paper aims to identify the key factors influencing the intention to continue using enterprise resource planning (ERP) systems. Extending the Technology-Organization-Environment framework, the model integrates variables from both the Technology Acceptance Model and the Information Systems Success Model. We employed Partial Least Squares Structu...

The surge in social network services (SNS) usage has ignited concerns about potential addictive behaviors stemming from excessive engagement. This research focuses on pinpointing the primary determinants of SNS addiction by introducing a theoretical framework centered on flow, perceived enjoyment, and habit. A sample of 282 SNS users from South Kor...

The increasing ubiquity of Artificial Intelligence (AI) chatbots across a variety of sectors has sparked a burgeoning interest in deciphering the determinants that govern their adoption and usage. This study aims to examine the pivotal factors that influence the practical usage of the AI chatbot, ChatGPT, among a sample of university students. Leve...

In recent years, virtual online communities have experienced rapid growth. These communities enable individuals to share and manage images or websites by employing tags. A collaborative tagging system (CTS) facilitates the process by which internet users collectively organize resources. CTS offers a plethora of useful information, including tags an...

As virtual reality (VR) continues to develop, it's attracting an increasing number of consumers who are seeking more diverse functions and experiences. This study presents a theoretical model designed to identify predictors of VR users' continuance intentions. Data was collected from VR users who had firsthand experiences with the technology, and p...

Amidst the ongoing COVID-19 pandemic, social isolation has become a pressing issue worldwide, deeply affecting individuals' mental and physical well-being. This study introduces a theoretical model to understand the factors influencing social isolation in the context of this global health crisis. We employed a survey methodology, collecting data fr...

In light of the burgeoning metaverse trend, this study seeks to explore the key factors influencing users’ continuance intention towards this emerging platform in the context of tourism. Leveraging a dataset from individuals experienced with the metaverse, this study applied structural equation modeling to examine the hypothesized relationships emp...

Enterprise resource planning (ERP) systems are now ubiquitous in modern organizations. A number of previous studies have focused only on system factors and perceptions, there is a noticeable shortfall in research that concurrently addresses technological factors and human roles in explaining user satisfaction. This study aimed to identify these var...

This paper aims to examine the impacts of social isolation and risk perception on social networking intensity during COVID-19. Data was gathered from 345 university students. The present study empirically analyzed the data through a partial least squares methodology. The analysis showed that perceived behavioral control positively impacts social ne...

Artificial intelligence (AI) has changed human life in many ways. AI improves the efficiency of manufacturing processes and helps people make decisions. However, we have little understanding of the motivation and goal-congruent behaviours of AI users. This research develops a theoretical model to investigate the key factors influencing goal-congrue...

Recently, a number of companies have started to implement commerce platforms that maximize the profits of offline stores by using online information. This kind of commerce is called online for offline (O4O). This research proposes a research framework to clarify the precursors of recommendation and loyalty in the context of O4O-commerce platforms....

Nowadays, consumers use information devices to use products and services through various channels. Omnichannel promotes sales improvement by allowing businesses to secure multiple channels. It provides consumers with a wider range of choices and monetary advantages. As such, omnichannel facilitates economic sustainability as a major platform for co...

This study aims to identify the key factors that influence the continuance intentions of social network service (SNS) users through an integrative framework. It suggests a theoretical model that contains utilitarian, hedonic, and social contexts. Data were collected from 286 SNS users in South Korea. This study analyzed the data through partial lea...

A growing number of governments have shifted education from face-to-face classes towards e-learning to contain COVID-19. In light of the pandemic, this study examined the key drivers that lead to the continuance intention of university students towards e-learning. The theoretical framework clarifies the role of attitude, satisfaction, and perceived...

With the development of the 4th Industrial Revolution, interest in artificial intelligence (AI) has also increased. People use useful functions or conduct conversations through AI assistants (AIA). In using AIA, information security factors are important because interaction with AIAs exchanges personal information. In this context, this study aims...

With the development of the 4th Industrial Revolution, interest in smart factories has also increased rapidly. Global companies have improved corporate effectiveness by using smart factories, and companies in developing countries have invested in sub-facilities to induce smart factory investment. In this context, this study aims to identify the suc...

Various information and communication technologies are used to control industrial infrastructure. A programmable logic controller (PLC) manages and controls the detailed areas of each facility. Industrial control system/supervisory control and data acquisition (ICS/SCADA) centrally processes and analyzes information collected from PLC and sensors t...

With the spread of smartphones and the outbreak of COVID-19, the importance of smart attendance management applications (SAMA) has increased. The advantage of using a SAMA is that attendance check time is reduced and attendance status can be easily managed. This study aims to identify the key factors affecting recommendation intention and continuan...

With the development of the web, smart devices, and social networks, the utilization of tags has increased. This study proposes a recommendation system that can be used in tag-based web services. This study measures the user’s preference and similarity by reflecting the frequency and timing of the use of tags. In particular, this study reflected th...

This study aims to identify the key predictors that affect the continuance intention of artificial intelligence personal assistant (AIPA). It proposes the theoretical framework which employs utilitarian value, hedonic value, perceived ease of use, perceived usefulness, novelty value, perceived enjoyment, and parasocial interaction. Data was collect...

To cope with the COVID-19 pandemic, many countries are implementing social measures. Social distancing, working from home, and non-face-to-face lectures have led to major changes in people's activities. Since face-to-face classes are restricted, students in higher education become to feel psychological and cognitive discomforts such as isolation an...

This study investigates the key antecedents of user satisfaction of untact lecture systems during COVID-19. The theoretical framework identifies the role of perceived ease of use, perceived usefulness, benefits, and privacy concerns in generating user satisfaction. The research model was validated by analyzing data collected from university student...

Email is an essential communication tool for modern people and offers a variety of functions. After the outbreak of COVID-19, the importance of emails enhanced further as non-face-to-face work increased. However, with the spread and dissemination of emails, cybercrime that abused emails has also increased. The number of cases of stealing or damagin...

Recently, cybercrime attacking the national network has increased. National infrastructure such as water purification plants, power plants, and substations are operated by using programmable logic controllers (PLC). PLC controls through the Industrial Control Systems/Supervisory Control And Data Acquisition (ICS/SCADA), which receives operational c...

As COVID‐19 has caused unprecedented social change, governments are implementing several social measures to control transmission. Among them, social distancing is being enforced in almost all countries and is effective in preventing infection. Based on the importance of social distancing, this study identifies factors influencing the intention towa...

Purpose The purpose of this study is to investigate the roles of perceived usefulness, top management support and information technology (IT) infrastructure in developing user satisfaction and loyalty in the context of smart factory. Design/methodology/approach This study gathered the data through a survey of 161 smart factory workers in South Kor...

This study investigates the key determinants of users’ loyalty and satisfaction in the context of enterprise resource planning (ERP). The theoretical framework identifies the role of flow and information and communications technology (ICT) skills in developing loyalty and satisfaction of ERP users. A partial least squares (PLS) was used to validate...

With the rapid prevalence of the fourth industrial revolution, the use of the smart factory has been stressed to improve the organisation’s competence in manufacturing. This study explores the antecedents of users’ continuance intention towards the smart factory. The theoretical framework clarifies the role of perceived ease of use, perceived usefu...

The k-nearest neighbor rule (k-NN) requires significant computational time and memory during recall. Hence it is difficult to apply k-NN in real-time applications. Several approaches have attempted to speed it up by editing the reference set. Most of them achieved the primary goal of reducing the reference set size, thus reducing recall time. Howev...

The purpose of this study is to test the relationships between transaction justice and partnership, between transaction justice and project performance, and between partnership and project performance in the selection process in which a prime contract company chooses a subcontractor. For the empirical study, we chose a research model based on relat...

Recently, many internet users are using mobile music service. In this paper, we aim to examine the effects of system quality factors and relation quality factors on continuance intention in the context of mobile music service. In order to analyze the antecedents of continuance intention, we introduced independent variables such as ease of use, stab...

Recently, many internet users are using cloud computing. Users can manage, store and share their data and information by using personal cloud storage. In this paper, we aim to figure out influencing factors on personal cloud storage selection. The causal relationship between factors were identified through a importance analysis by using AHP(Analyti...

In this paper, we examined the effects of emotional and individual variables on flow in the usage of mobile application. We selected four relevant emotional and individual factors such as positive affect, negative affect, addiction and habituation. We also attempted to figure out the moderating role of communication in the effect of positive affect...