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Article
Publication date: 12 June 2017

San-Yih Hwang, Chih-Ping Wei, Chien-Hsiang Lee and Yu-Siang Chen

The information needs of the users of literature database systems often come from the task at hand, which is short term and can be represented as a small number of articles…

642

Abstract

Purpose

The information needs of the users of literature database systems often come from the task at hand, which is short term and can be represented as a small number of articles. Previous works on recommending articles to satisfy users’ short-term interests have utilized article content, usage logs, and more recently, coauthorship networks. The usefulness of coauthorship has been demonstrated by some research works, which, however, tend to adopt a simple coauthorship network that records only the strength of coauthorships. The purpose of this paper is to enhance the effectiveness of coauthorship-based recommendation by incorporating scholars’ collaboration topics into the coauthorship network.

Design/methodology/approach

The authors propose a latent Dirichlet allocation (LDA)-coauthorship-network-based method that integrates topic information into the links of the coauthorship networks using LDA, and a task-focused technique is developed for recommending literature articles.

Findings

The experimental results using information systems journal articles show that the proposed method is more effective than the previous coauthorship network-based method over all scenarios examined. The authors further develop a hybrid method that combines the results of content-based and LDA-coauthorship-network-based recommendations. The resulting hybrid method achieves greater or comparable recommendation effectiveness under all scenarios when compared to the content-based method.

Originality/value

This paper makes two contributions. The authors first show that topic model is indeed useful and can be incorporated into the construction of coaurthoship-network to improve literature recommendation. The authors subsequently demonstrate that coauthorship-network-based and content-based recommendations are complementary in their hit article rank distributions, and then devise a hybrid recommendation method to further improve the effectiveness of literature recommendation.

Details

Online Information Review, vol. 41 no. 3
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 18 October 2021

Chien Hsiang Liao

This study aims to not only develop measurements of preferential attachment and homophily mechanisms based on their definitions and network theory but also examine the…

792

Abstract

Purpose

This study aims to not only develop measurements of preferential attachment and homophily mechanisms based on their definitions and network theory but also examine the associations among these network mechanisms, community commitment, knowledge sharing and community citizenship behavior.

Design/methodology/approach

In total, 250 valid questionnaires are collected to examine the hypothesized associations. These hypotheses are examined by using partial least squares structural equation modeling.

Findings

The findings reveal both mechanisms are beneficial to develop new entrants’ emotional attachment to a virtual community, thereby motivating knowledge sharing and community altruistic behavior. The results contribute some practical and theoretical implications that are very helpful for the conceptualization of network mechanisms, community development, relationship management and incentives for extra-role behavior.

Originality/value

The literature on the link between network selection mechanisms and knowledge sharing remains unknown. This study is the pioneer to disclose this unknown association and examine the impacts of preferential attachment and homophily network mechanisms.

Details

Journal of Knowledge Management, vol. 26 no. 8
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 13 December 2023

Chien Hsiang Liao, Jung-Kuei Hsieh and Sushant Kumar

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge…

660

Abstract

Purpose

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge or are influenced by the influencer's large following. This research aims to investigate the impact of verified badges on followers' trust and behavioral intentions.

Design/methodology/approach

This research conducts three experiments to investigate the impact of the verified badge on consumer attitudes and behavioral intentions, recruiting participants from freelance recruiting website in all three experiments.

Findings

The results show that a verified badge can sequentially influence consumer trust, attitude and sharing intentions. Furthermore, the impact of the verified badge on trust is more pronounced among micro-influencers as opposed to macro-influencers, and it can mitigate the negative attitude toward commercial postings.

Originality/value

Based on trust transfer theory, this research is a pioneer in investigating the effectiveness of verified badges on social media. These findings contribute to the field of influencer marketing by considering influencers' characteristics and the commercial intent of postings as moderators. Additionally, the results offer managerial insights for developing influencer marketing strategies.

Details

Journal of Research in Interactive Marketing, vol. 18 no. 6
Type: Research Article
ISSN: 2040-7122

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Article
Publication date: 10 August 2015

Chien Hsiang Liao

The purpose of this paper is to examine the causal associations among service innovation/improvement, organisational citizenship behaviour (OCB), and the user-perceived value of…

868

Abstract

Purpose

The purpose of this paper is to examine the causal associations among service innovation/improvement, organisational citizenship behaviour (OCB), and the user-perceived value of e-services. The context of service delivery is particularly based on human interaction in e-service encounters.

Design/methodology/approach

In total, 403 respondents from 53 different service departments were selected in this study. To fit the structure between respondents and departments, this study uses hierarchical linear modelling to examine the research model.

Findings

The results indicate that service innovation/improvement and the OCB of department staff both positively affect the user-perceived value of e-services. However, the OCB of department staff does not have a moderating effect on the association between service innovation/improvement and the user-perceived value of e-services.

Originality/value

Prior studies suggest that the OCB of service employees strongly reinforces customer perceptions of service quality and satisfaction. However, this causal association was proven in the context of face-to-face human interactions. This study is a pioneer study in examining the associations between OCB and human interaction with e-services.

Details

Online Information Review, vol. 39 no. 4
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 19 February 2024

Ming-Chang Wang, Yu-Feng Hsu and Hsiang-Ying Chien

This study investigates the media activities of firms issuing private equity placements and seasoned equity offerings in Taiwan, as firms have incentives to manage media coverage…

49

Abstract

Purpose

This study investigates the media activities of firms issuing private equity placements and seasoned equity offerings in Taiwan, as firms have incentives to manage media coverage to influence their stock prices during private equity placement.

Design/methodology/approach

We collect a corpus of news stories and transform the news into term sets based on the part of speech. Then, we refer to Cecchini et al. (2010) to classify the news terms into positive, negative, and usual categories. Next, we employ the SVM algorithm to perform the classification tasks and the term frequency method to perform the text mining task. In last, we use a multiple regression model to verify the hypotheses.

Findings

We determine that issuing firms in a private placement have substantially more positive news stories and fewer negative news stories than those in public offerings. Furthermore, we evidence that the media management effects of postequity issues are more active than those of preequity issues. Finally, our results demonstrate that the timing and content of financial media coverage among different equity issuance methods may be biased by firm management. According to previous studies, they may attempt to manipulate stock prices to increase the number of highly profitable insider stakeholders.

Originality/value

To our knowledge, this is the first study to investigate that if private placement will associate with more active media management than the public offerings. According to our results of the difference-in-means test, the public offerings market may control news coverage; however, this result is inconsistent with that of the regression results. The private placements market may also exercise media management in the “before announcement day” and “after announcement day” periods by increasing positive news and reducing negative news.

Details

Journal of Accounting Literature, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-4607

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Article
Publication date: 29 January 2007

Ming‐Hsien Yang, Chien‐Hsiang Liao and Shang‐Chia Liu

The purpose of this study is to explore the feasibility of applying an internet‐based information system (IBIS) to facilitate business alliance activities, especially for small…

3231

Abstract

Purpose

The purpose of this study is to explore the feasibility of applying an internet‐based information system (IBIS) to facilitate business alliance activities, especially for small and median enterprises whose business performance is highly dependent on their strategic alliance partnerships.

Design/methodology/approach

A case study of six firms was conducted to understand current business alliance practices in Taiwan and to investigate the demand for applying IBIS systems in business alliance activities. A prototype of the IBIS system was also developed and evaluated.

Findings

We found that communication and information sharing are the most appropriate activities in business alliances for the application of an IBIS system and that the decision to adopt an IBIS system is dependent on the allied partners' support and the technological capabilities they possess. However, the lack of trust in internet security is one of the key factors that may hinder enterprises from applying the IBIS system to business alliance activities.

Research limitations/implications

The prototype IBIS system was tested by two case firms. Though the test result was positive, a larger test group might be helpful in discovering ways of improving the system for practical use.

Practical implications

The positive result of the system evaluation supports the feasibility of applying the IBIS system to facilitate business alliance activities.

Originality/value

Both the IBIS system and strategic alliance are important research issues in business. However, integrative research of the two issues is seldom undertaken. This study validates the feasibility of applying the IBIS system to increase the operational efficiency of a strategic alliance.

Details

Industrial Management & Data Systems, vol. 107 no. 1
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 8 December 2022

Deden Sumirat Hidayat, Dana Indra Sensuse, Damayanti Elisabeth and Lintang Matahari Hasani

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM…

429

Abstract

Purpose

Study on knowledge-based systems for scientific publications is growing very broadly. However, most of these studies do not explicitly discuss the knowledge management (KM) component as knowledge management system (KMS) implementation. This background causes academic institutions to face challenges in developing KMS to support scholarly publication cycle (SPC). Therefore, this study aims to develop a new KMS conceptual model, Identify critical components and provide research gap opportunities for future KM studies on SPC.

Design/methodology/approach

This study used a systematic literature review (SLR) method with the procedure from Kitchenham et al. Then, the SLR results are compiled into a conceptual model design based on a framework on KM foundations and KM solutions. Finally, the model design was validated through interviews with related field experts.

Findings

The KMS for SPC focuses on the discovery, sharing and application of knowledge. The majority of KMS use recommendation systems technology with content-based filtering and collaborative filtering personalization approaches. The characteristics data used in KMS for SPC are structured and unstructured. Metadata and article abstracts are considered sufficiently representative of the entire article content to be used as a search tool and can provide recommendations. The KMS model for SPC has layers of KM infrastructure, processes, systems, strategies, outputs and outcomes.

Research limitations/implications

This study has limitations in discussing tacit knowledge. In contrast, tacit knowledge for SPC is essential for scientific publication performance. The tacit knowledge includes experience in searching, writing, submitting, publishing and disseminating scientific publications. Tacit knowledge plays a vital role in the development of knowledge sharing system (KSS) and KCS. Therefore, KSS and KCS for SPC are still very challenging to be researched in the future. KMS opportunities that might be developed further are lessons learned databases and interactive forums that capture tacit knowledge about SPC. Future work potential could identify other types of KMS in academia and focus more on SPC.

Originality/value

This study proposes a novel comprehensive KMS model to support scientific publication performance. This model has a critical path as a KMS implementation solution for SPC. This model proposes and recommends appropriate components for SPC requirements (KM processes, technology, methods/techniques and data). This study also proposes novel research gaps as KMS research opportunities for SPC in the future.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 55 no. 1
Type: Research Article
ISSN: 2059-5891

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Article
Publication date: 22 July 2019

Kushal Kanwar, Sakshi Kaushal and Harish Kumar

In today’s digital era, data pertaining to scientific research have attracted considerable attention of researchers. Data of scientific publications can be modeled in the form of…

251

Abstract

Purpose

In today’s digital era, data pertaining to scientific research have attracted considerable attention of researchers. Data of scientific publications can be modeled in the form of networks such as citation networks, co-citation networks, collaboration networks, and others. Identification and ranking of important nodes in such networks is useful in many applications, such as finding most influential papers, most productive researchers, pattern of citation, and many more. The paper aims to discuss this issue.

Design/methodology/approach

A number of methods are available in literature for node ranking, and K-shell decomposition is one such method. This method categorizes nodes in different groups based on their topological position. The shell number of a node provides useful insights about the node’s importance in the network. It has been found that shells produced by the K-shell method need to be further refined to quantify the influence of the nodes aptly. In this work, a method has been developed, which ranks nodes by taking the core(s) as the origin and second-order neighborhood of a node as its immediate sphere of influence.

Findings

It is found that the performance of the proposed technique is either comparable or better than other methods in terms of correctness and accuracy. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods. The proposed method can be used to rank authors, research articles, and fields of research.

Originality/value

The proposed method ranks nodes by their global position in a network as well as their local sphere of information. It leads to better quantification of a node’s impact. This method is found to be better in terms of accuracy and correctness. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods.

Details

Library Hi Tech, vol. 40 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 9 December 2019

Noor Arshad, Abu Bakar, Saira Hanif Soroya, Iqra Safder, Sajjad Haider, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani and Raheel Nawaz

The purpose of this paper is to present a novel approach for mining scientific trends using topics from Call for Papers (CFP). The work contributes a valuable input for…

373

Abstract

Purpose

The purpose of this paper is to present a novel approach for mining scientific trends using topics from Call for Papers (CFP). The work contributes a valuable input for researchers, academics, funding institutes and research administration departments by sharing the trends to set directions of research path.

Design/methodology/approach

The authors procure an innovative CFP data set to analyse scientific evolution and prestige of conferences that set scientific trends using scientific publications indexed in DBLP. Using the Field of Research code 804 from Australian Research Council, the authors identify 146 conferences (from 2006 to 2015) into different thematic areas by matching the terms extracted from publication titles with the Association for Computing Machinery Computing Classification System. Furthermore, the authors enrich the vocabulary of terms from the WordNet dictionary and Growbag data set. To measure the significance of terms, the authors adopt the following weighting schemas: probabilistic, gram, relative, accumulative and hierarchal.

Findings

The results indicate the rise of “big data analytics” from CFP topics in the last few years. Whereas the topics related to “privacy and security” show an exponential increase, the topics related to “semantic web” show a downfall in recent years. While analysing publication output in DBLP that matches CFP indexed in ERA Core A* to C rank conference, the authors identified that A* and A tier conferences not merely set publication trends, since B or C tier conferences target similar CFP.

Originality/value

Overall, the analyses presented in this research are prolific for the scientific community and research administrators to study research trends and better data management of digital libraries pertaining to the scientific literature.

Details

Library Hi Tech, vol. 40 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 31 December 2020

Sheng-Hung Chen, Feng-Jui Hsu and Ying-Chen Lai

There is little known globally on the association among the independent shareholder, board size and merger and acquisition (M&A) performance. This paper addresses the global issue…

435

Abstract

Purpose

There is little known globally on the association among the independent shareholder, board size and merger and acquisition (M&A) performance. This paper addresses the global issue about cross-border M&A in banking sector, particularly exploring the role of difference in the independent shareholder and board size between acquirer and target banks on synergy gains based on the international study.

Design/methodology/approach

Based on cross-border bank M&As data on 59 deals from 1995 to 2009, we initially apply social network analysis techniques to explore the country connectedness of the acquirer-target banks in cross-border M&As. Ordinary least squares (OLS) with robust standard errors is further used to investigate synergy gains within the difference in the degree of bank independent shareholder and board sizes between the acquirer and target banks.

Findings

Our results indicate that the acquiring banks are generally interconnected with the targeted banks and that some of acquiring banks are clearly concentrated in Asian countries including China, Hong Kong, and Philippines. Moreover, we find that cross-border M&As with larger difference in independent shareholders between the bidder and target bank would result in higher synergy gains in all cases of takeover premiums on 1 day, 1 week and 4 weeks. In addition, financial differences between the bidder and target banks have a significant impact on synergetic gains, a topic not explored in previous studies. There is no evidence that institutional and governance differences between bidder and target bank have significant cross-border impacts on takeover premiums with respect to 1 day, 1 week and 4 weeks, respectively.

Originality/value

This paper contributes to the literature by exploring the international issue about the role of difference in the degree of bank independent shareholder and board sizes between acquirer and target banks on synergy gains. Based on bank cross-border M&As data on 59 deals from 1995 to 2009, we initially apply social network analysis to explore the country connectedness of acquirer-target bank in cross-border M&As, while ten ordinary least squares (OLS) with robust standard errors is used to investigate synergy gains within the difference in the degree of bank independent shareholder and board sizes between acquirer and target banks.

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