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Article
Publication date: 11 October 2019

Yu-Wei Chang, Ping-Yu Hsu, Shih-Hsiang Huang and Jiahe Chen

The purpose of this paper is to investigate switching intention from traditional enterprise information systems (EISs) to private cloud EIS in large enterprises. The…

Abstract

Purpose

The purpose of this paper is to investigate switching intention from traditional enterprise information systems (EISs) to private cloud EIS in large enterprises. The authors propose that the factors motivate and inhibit enterprises’ switching intention to private EIS by integrating technology–organization–environment (TOE) framework and two-factor theory.

Design/methodology/approach

A research model draws from TOE framework and two-factor theory. Data were collected from 227 top managers and owners of the enterprises in China and used to analyze 11 hypotheses.

Findings

The results show that the technological context (compatibility), organizational context (financial support) and environmental context (vendor support and industry pressure) significantly influence switching benefits while data security and costs significantly influence switching costs. Switching benefits and switching costs significantly influence switching intention.

Originality/value

Past studies have focused mainly on the adoption of cloud computing. However, few studies have addressed the switching issues, especially in large enterprises. The findings are useful to understand switching issues from traditional EIS to private cloud EIS for both researchers and practitioners.

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Article
Publication date: 10 January 2020

Wen Xing, Ping Yu Hsu, Yu-Wei Chang and Wen-Lung Shiau

The purpose of this paper is to investigate factors that influence the patients’ intentions to visit doctors face-to-face for consultations from the perspective of online…

Abstract

Purpose

The purpose of this paper is to investigate factors that influence the patients’ intentions to visit doctors face-to-face for consultations from the perspective of online doctor–patient interaction. Justice theory, SERVQUAL and the halo effect are integrated to develop a research model based on the performance-evaluation-outcome framework. The authors hypothesize that perceived justice and service quality are the significant factors in reflecting the performance of online doctor–patient interaction, which influences patient satisfaction evaluation and online and offline behavioral intentions.

Design/methodology/approach

The study conducted an online survey to collect data. Patients on a healthcare consulting website were invited to participate in the survey. The research model and hypotheses were tested with 254 collected data from patients and analyzed using the partial least squares method.

Findings

The results show that perceived justice and service quality have a positive effect on patient satisfaction, and satisfaction and the intention of online consultation have a positive effect on the intention of face-to-face consultation.

Practical implications

This study offers suggestions on how doctors interact with patients and build their brand image. The findings also offer effective insights into improving doctors’ online services to retain patients and even encourage patients to go to clinics.

Originality/value

Online health consultation is one of the most popular online health services and is growing quickly. After patients consult online doctors, they are able to visit their doctors in person for further diagnosis and treatment if they have the need. This study investigates how patients’ online interactive experience influences their offline behavioral intentions, which are different from most of the past literature on eHealth.

Details

Industrial Management & Data Systems, vol. 120 no. 1
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 6 August 2018

Yu-Wei Chang, Ping-Yu Hsu and Qing-Miao Yang

This study uses the travel industry as the research context and investigates online–offline integration between the different business entities of hoteliers and online…

Abstract

Purpose

This study uses the travel industry as the research context and investigates online–offline integration between the different business entities of hoteliers and online travel agencies (OTAs). The purpose of this paper is threefold: first, to examine cooperation between hotels and OTAs; second, to examine how online and offline satisfaction increase behavioral intentions toward online and offline channels; and third, to investigate the factors that increase online and offline satisfaction.

Design/methodology/approach

To investigate customers’ behavioral intentions toward online and offline channels, the authors collected 241 data points from ten hotels from four well-known chains. The partial least squares structural equation modeling approach was used to test the research model and the 13 hypotheses.

Findings

The results show that system quality, information quality and service quality of OTA websites increase online satisfaction. Online satisfaction further increases behavioral intentions toward online channels but has no significant effect on offline satisfaction and behavioral intentions toward offline channels. Emotional value and social value offered by hotels increase offline satisfaction. Offline satisfaction further increases behavioral intentions toward online and offline channels. Finally, behavioral intentions toward online channels indeed reinforce behavioral intentions toward offline channels.

Originality/value

Some prior studies have focused on the effects of offline channels on online channels, whereas others have examined the influences of online channels on offline channels. However, in previous studies, the online and offline channels were both owned by the same business entities. To the best of the authors’ knowledge, this study is the first to examine how online and offline channels belonging to different business entities can work together to increase customer intentions.

Details

Internet Research, vol. 28 no. 4
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 14 May 2018

Yun-Shan Cheng, Ping-Yu Hsu and Yu-Chin Liu

To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based…

Abstract

Purpose

To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based documents, there is little theoretical background guiding element selection, resulting in a limited content analysis problem. Another inherent problem is overspecialization. The purpose of this paper is to establish a value-based recommendation methodology for identifying favorable attributes, benefits, and values on the basis of means-end chain theory. The identified elements and the relationships between them were utilized to construct a recommender system without incurring either problem.

Design/methodology/approach

This study adopted soft laddering and content analysis to collect popular elements. The relationships between the elements were established by using a hard laddering online questionnaire. The elements and the relationships were utilized to build a hierarchical value map (HVM). A mathematical model was then devised on the basis of the HVM to predict user preferences of attributes.

Findings

The results of a performance comparison showed that the proposed method outperformed the content-based attribute recommendation method and a hybrid method by 39 and 68 percent, respectively.

Originality/value

Although hybrid methods have been proposed to resolve the problem of overspecialization in content-based recommender systems, such methods have incurred “cold start” and “sparsity” problems. The proposed method can provide recommendations without causing these problems while outperforming the content-based and hybrid approaches.

Details

Industrial Management & Data Systems, vol. 118 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 2 September 2020

Chien-Che Huang, Yu-Wei Chang, Ping Yu Hsu and Grandys Frieska Prassida

The purpose of this study is to investigate multichannel integration of hotels and online travel agencies (OTAs) and to compare consumer behavior between China and…

Abstract

Purpose

The purpose of this study is to investigate multichannel integration of hotels and online travel agencies (OTAs) and to compare consumer behavior between China and Indonesia in the context of online to offline (O2O) commerce. We examine how the services, brand and market share of OTAs influence behavioral intentions in both online and offline channels. SERVQUAL, theory of reasoned action and the halo effect are integrated to develop the research model.

Design/methodology/approach

To investigate Chinese and Indonesian customers' experiences and behavioral intention of OTAs and hotels, the customers who booked hotels using OTAs were invited to participate in the questionnaire survey. This study collected 336 and 305 data from China and Indonesia, respectively. A partial least squares structural equation modeling technique was used to test and compare the research hypotheses and model between China and Indonesia.

Findings

The results compare the similarities and differences of cross-country customer experiences and behavioral intentions of OTAs and hotels. The effect of website service quality on online satisfaction, the effect of online satisfaction on offline confirmation and the effects of offline confirmation and booking intention on patronage intention are significant and positive in both countries. Website service quality is positively associated with booking intention for Indonesia but not for China. The relationship between perceived size and booking intention is significant for China but not for Indonesia. The findings provide insights into the development of O2O commerce for global markets and multichannel strategies between OTAs and hotels.

Originality/value

With the development of O2O commerce, increasingly more hoteliers are opening up online and offline sales channels by cooperating with OTAs. Although several cross-country studies have investigated consumer behavior or behavioral intentions, behavioral settings are based on online or offline channels rather than the integration of both channels. Although some research has studied the integration or competition of OTAs and hotels, none of these studies have investigated the issues from the perspective of country comparison. This study provides the understanding of how customers in different countries and with different backgrounds react to the same e-commerce development, especially the cooperation of OTA and hotels.

Details

Industrial Management & Data Systems, vol. 120 no. 12
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 21 September 2015

Yu-Wei Chang, Ping-Yu Hsu, Wen-Lung Shiau and Ronghua Yi

The purpose of this paper is to investigate how customer power of environmental factors affects customer support (CS) engineers’ personal motivations in a…

Abstract

Purpose

The purpose of this paper is to investigate how customer power of environmental factors affects customer support (CS) engineers’ personal motivations in a knowledge-sharing context. The authors examine extrinsic (i.e. organizational rewards, reputation, and reciprocity) and intrinsic motivations (i.e. knowledge self-efficacy) affecting knowledge-sharing intentions based on the social exchange theory (SET) and self-efficacy theory. Furthermore, the authors introduce the concept of the social power theory to investigate the moderating effect of customer power on the relationships between personal motivations and knowledge-sharing intentions.

Design/methodology/approach

This study collects 349 questionnaires of CS engineers from 16 countries, including the USA, China, Japan, South Korea, and Taiwan. After the data collection, the research model and hypotheses are tested using partial least squares.

Findings

The empirical results show that reputation, reciprocity, and knowledge self-efficacy are significantly and positively related to knowledge-sharing intentions. Also, the results show that customer power can significantly moderate the relationships between personal motivations and knowledge-sharing intentions.

Research limitations/implications

The findings help multinational corporations employ the perception of customer power to motivate CS engineers to share knowledge. Especially, the results can help organizations increase customer added value through effective knowledge sharing.

Originality/value

The research model integrates personal motivations derived from the SET and self-efficacy theory and customer power of environmental factors. Additionally, this study is the first to investigate the moderating effect of customer power on employees’ personal motivations and behavioral intentions.

Details

Aslib Journal of Information Management, vol. 67 no. 5
Type: Research Article
ISSN: 2050-3806

Keywords

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Article
Publication date: 5 October 2010

Yu‐Min Su, PingYu Hsu and Ning‐Yao Pai

The co‐word analysis method is commonly used to cluster‐related keywords into the same keyword domain. In other words, traditional co‐word analysis cannot cluster the same…

Abstract

Purpose

The co‐word analysis method is commonly used to cluster‐related keywords into the same keyword domain. In other words, traditional co‐word analysis cannot cluster the same keywords into more than one keyword domain, and disregards the multi‐domain property of keywords. The purpose of this paper is to propose an innovative keyword co‐citation approach called “Complete Keyword Pair (CKP) method”, which groups complete keyword sets of reference papers into clusters, and thus finds keywords belonging to more than one keyword domain, namely bridge‐keywords.

Design/methodology/approach

The approach regards complete author keywords of a paper as a complete keyword set to compute the relations among keywords. Any two complete keyword sets whose corresponding papers are co‐referenced by the same paper are recorded as a CKP. A clustering method is performed with the correlation matrix computed from the frequency counts of the CKPs, for clustering the complete keyword sets. Since keywords may be involved in more than one complete keyword set, the same keywords may end up appearing in different clusters.

Findings

Results of this study show that the CKP method can discover bridge‐keywords with average precision of 80 per cent in the Journal of the Association for Computing Machinery citation bank during 2000‐2006 when compared against the benchmark of Association for Computing Machinery Computing Classification System.

Originality/value

Traditional co‐word analysis focuses on co‐occurrence of keywords, and therefore, cannot cluster the same keywords into more than one keyword domain. The CKP approach considers complete author keyword sets of reference papers to discover bridge‐keywords. Therefore, the keyword recommendation system based on CKP can recommend keywords across multiple keyword domains via the bridge‐keywords.

Details

The Electronic Library, vol. 28 no. 5
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 13 February 2009

Wen‐Lung Shiau, PingYu Hsu and Jun‐Zhong Wang

The purpose of this paper is to contribute to the development of measures to assess the ERP adoption of small and medium‐sized enterprises.

Abstract

Purpose

The purpose of this paper is to contribute to the development of measures to assess the ERP adoption of small and medium‐sized enterprises.

Design/methodology/approach

The paper follows Churchill's guideline for developing measures that have desirable reliability and validity. The pilot data are used to develop a proper measurement. The survey data, based on the 126 valid responses of 328 companies, are analysed by structural equation modelling (SEM) statistical methods.

Findings

The paper finds that the dimensions affecting ERP adoption show that characteristics of the CEO and perceived benefits possess positive effects on ERP adoption, while cost and technology have negative effects on ERP adoption. However, only “perceived benefits” is a significant dimension. It is surprising that the cost of the ERP system does not significantly affect ERP adoption.

Research limitations/implications

The paper shows that the sample size should be taken into consideration when generalising the findings, and extended data and measures are required for further in‐depth investigation in specific areas.

Practical implications

The paper points out that the managers of SMEs with limited resources can find many ways to get more resources from governments. Government managers should be more realistically set the goal of helping firms in a healthy condition to adopt e‐business instead of setting the goal of improving the e‐business readiness of all SMEs. To help all CEOs of SMEs to realise the potential benefits, governments can work with academic research groups to set up forums and workshops to broadcast knowledge.

Originality/value

The paper develops measurements to assess the ERP adoption of small and medium‐sized enterprises. The results offer practical help for government managers to better understand ERP adoption with institutional help in Taiwan. Meanwhile, researchers interested in IT/IS can use the information provided here to guide their future enquiries.

Details

Journal of Enterprise Information Management, vol. 22 no. 1/2
Type: Research Article
ISSN: 1741-0398

Keywords

Content available

Abstract

Details

Journal of Enterprise Information Management, vol. 22 no. 1/2
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 13 August 2021

Yu-Shan Hsu, Yu-Ping Chen, Margaret A. Shaffer and Flora F.T. Chiang

Drawing on expectancy value theory (EVT), this paper examines knowledge exchange between expatriate and host country national (HCN) dyads to understand whether receivers'…

Abstract

Purpose

Drawing on expectancy value theory (EVT), this paper examines knowledge exchange between expatriate and host country national (HCN) dyads to understand whether receivers' perceptions about senders' motivation to transfer knowledge and perceived value of the knowledge jointly affect receivers' motivation to learn and, in turn, facilitate their knowledge acquisition and sharing.

Design/methodology/approach

Latent moderated structural (LMS) equations were used to analyze data from 107 expatriate–HCN dyads working in the Asia Pacific region.

Findings

In general, whether senders are expatriates or HCNs, only when receivers perceive that (1) knowledge to be transferred is valuable and (2) senders are motivated to transfer, receivers are likely to be motivated to receive knowledge transferred from senders and, in turn, acquire and share knowledge with senders.

Originality/value

This study is one of the first in the expatriate and knowledge transfer literature to address the mixed findings between senders' motivation to transfer and receivers' knowledge acquisition and sharing by drawing on EVT.

Details

Journal of Global Mobility: The Home of Expatriate Management Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2049-8799

Keywords

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