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Article
Publication date: 7 November 2016

Eunil Park, Ki Joon Kim and Sang Jib Kwon

The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the…

Abstract

Purpose

The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices.

Design/methodology/approach

An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=877) to demonstrate the reliability and validity of the measurement and structural model.

Findings

Perceived control and interactivity of wearable healthcare devices as well as users’ innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM.

Originality/value

Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context.

Details

Information Technology & People, vol. 29 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 5 April 2021

Seungpeel Lee, Honggeun Ji, Jina Kim and Eunil Park

With the rapid increase in internet use, most people tend to purchase books through online stores. Several such stores also provide book recommendations for buyer…

Abstract

Purpose

With the rapid increase in internet use, most people tend to purchase books through online stores. Several such stores also provide book recommendations for buyer convenience, and both collaborative and content-based filtering approaches have been widely used for building these recommendation systems. However, both approaches have significant limitations, including cold start and data sparsity. To overcome these limitations, this study aims to investigate whether user satisfaction can be predicted based on easily accessible book descriptions.

Design/methodology/approach

The authors collected a large-scale Kindle Books data set containing book descriptions and ratings, and calculated whether a specific book will receive a high rating. For this purpose, several feature representation methods (bag-of-words, term frequency–inverse document frequency [TF-IDF] and Word2vec) and machine learning classifiers (logistic regression, random forest, naive Bayes and support vector machine) were used.

Findings

The used classifiers show substantial accuracy in predicting reader satisfaction. Among them, the random forest classifier combined with the TF-IDF feature representation method exhibited the highest accuracy at 96.09%.

Originality/value

This study revealed that user satisfaction can be predicted based on book descriptions and shed light on the limitations of existing recommendation systems. Further, both practical and theoretical implications have been discussed.

Details

The Electronic Library , vol. 39 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 4 July 2017

Heetae Kim, Kyu Ha Choi, Ki Joon Kim and Eunil Park

The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research…

Abstract

Purpose

The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern.

Design/methodology/approach

An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=638) to demonstrate the reliability and validity of the measurement and structural model.

Findings

Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services.

Originality/value

While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps to understand how various psychological factors contribute to the adoption of a social-sharing service.

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Article
Publication date: 6 September 2016

Eunil Park and Sang Jib Kwon

Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our…

Abstract

Purpose

Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots.

Design/methodology/approach

In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis.

Findings

The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality.

Originality/value

Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.

Details

Program, vol. 50 no. 4
Type: Research Article
ISSN: 0033-0337

Keywords

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Article
Publication date: 5 June 2019

Eunil Park, Sang Jib Kwon and Jinyoung Han

Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have…

Abstract

Purpose

Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have been examined on the user adoption of the technologies. The purpose of this paper is to introduce an acceptance model for BIM technologies and investigate how external factors which were extracted by in-depth interviews promote the adoption of such technologies.

Design/methodology/approach

An on-line survey was conducted by two South Korean survey agencies to test the acceptance model for BIM technologies. Then, the structural equation modeling (SEM) and confirmatory factor analysis (CFA) methods were used.

Findings

The results of the SEM and CFA methods from on-site construction employees (n=818) in Korea collected by the online survey indicate that compatibility and organizational support play a core role in positively and significantly affecting both perceived ease of use and usefulness, and that the connections introduced by the origin technology acceptance model are mainly confirmed.

Originality/value

Using the findings of the results, both implications and notable limitations are presented. Moreover, practical developers, as well as academic researchers can employ the results when they attempt to conduct future research.

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Article
Publication date: 2 April 2021

Jina Kim, Yeonju Jang, Kunwoo Bae, Soyoung Oh, Nam Jeong Jeong, Eunil Park, Jinyoung Han and Angel P. del Pobil

Understanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their…

Abstract

Purpose

Understanding customers' revisiting behavior is highlighted in the field of service industry and the emergence of online communities has enabled customers to express their prior experience. Thus, purpose of this study is to investigate customers' reviews on an online hotel reservation platform, and explores their postbehaviors from their reviews.

Design/methodology/approach

The authors employ two different approaches and compare the accuracy of predicting customers' post behavior: (1) using several machine learning classifiers based on sentimental dimensions of customers' reviews and (2) conducting the experiment consisted of two subsections. In the experiment, the first subsection is designed for participants to predict whether customers who wrote reviews would visit the hotel again (referred to as Prediction), while the second subsection examines whether participants want to visit one of the particular hotels when they read other customers' reviews (dubbed as Decision).

Findings

The accuracy of the machine learning approaches (73.23%) is higher than that of the experimental approach (Prediction: 58.96% and Decision: 64.79%). The key reasons of users' predictions and decisions are identified through qualitative analyses.

Originality/value

The findings reveal that using machine learning approaches show the higher accuracy of predicting customers' repeat visits only based on employed sentimental features. With the novel approach of integrating customers' decision processes and machine learning classifiers, the authors provide valuable insights for researchers and providers of hospitality services.

Details

Data Technologies and Applications, vol. 55 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

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Article
Publication date: 24 June 2019

Ye-Eun Won, Jiwon Kang, Daejin Choi, Eunil Park and Jinyoung Han

With the rapidly improving communication technologies, a growing number of people communicate with each other in online environments. In particular, social networking…

Abstract

Purpose

With the rapidly improving communication technologies, a growing number of people communicate with each other in online environments. In particular, social networking services (SNSs) are one of the widely used and common places that enable active communication among users. To understand what drives successful online conversations in SNSs, this study aims to explore the roles of posts and first comments in successful online conversations.

Design/methodology/approach

To address the purpose, the data of news-related channels in Reddit were collected and analyzed.

Findings

The study found that successful conversations tend to have the post and first comment with high scores. Also, the first comments in successful online conversations tend to be easier than those in other conversations.

Originality/value

The results reveal that successful online conversations can be generated not only with empathic posts but also with touching or attractive first comments. In other words, users are likely to participate in an online conversation that starts with an empathic post and first comment. Moreover, both practical and theoretical implications are presented.

Details

Kybernetes, vol. 49 no. 3
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 24 June 2013

Eunil Park

Due to rapid increases in theoretical progress, the paper investigated user perceptions toward tele-presence systems with possible and antecedent motivations that affect…

Abstract

Purpose

Due to rapid increases in theoretical progress, the paper investigated user perceptions toward tele-presence systems with possible and antecedent motivations that affect attitude and intention to use. The paper aims to discuss these issues.

Design/methodology/approach

The paper conducted an internet survey. Responses from 1,620 participants were collected and investigated to identify motivations and possible factors.

Findings

The results demonstrate that attitude has the most powerful effect on intention to use. In addition, social presence and perceived usefulness have significant effects on the intention to use. The results also demonstrate the crucial roles of perceived adaptivity and system quality on attitude. The factors examined in the study may be core features of user acceptance toward tele-presence systems with significant implications for improving and creating better and friendlier tele-presence systems for users.

Originality/value

This paper is of value to researchers designing and improving tele-operation and tele-presence services in the society.

Content available
Article
Publication date: 7 September 2012

Eunil Park

Abstract

Details

Sensor Review, vol. 32 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 18 January 2013

Eunil Park and Angel P. del Pobil

Despite the increasing popularity and interest in remote pointing devices such as Wii remote controllers, there have been few studies that find and evaluate the users'…

Abstract

Purpose

Despite the increasing popularity and interest in remote pointing devices such as Wii remote controllers, there have been few studies that find and evaluate the users' psychological aspects of technology acceptance. This study uses the technology acceptance model (TAM) framework with the two external variables of perceived mobility and control.

Design/methodology/approach

The authors conducted an experiment with 409 participants to test the research model and employed structural equation modelling as the analysis method.

Findings

The results show that perceived mobility and control were significant determinants of perceived ease of use and perceived usefulness. Moreover, perceived usefulness is significantly influenced by perceived ease of use and, further, perceived usefulness and ease of use played a significant role in affecting the attitude towards the technology. Finally, the results also reveal that attitude and perceived usefulness positively influence the intention to use the remote pointing device.

Originality/value

This paper is of value to researchers, engineers and designers designing and developing remote pointing technologies and their devices for use in our society.

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