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Article

Yuh-Min Chen, Tsung-Yi Chen and Lyu-Cian Chen

Location-based services (LBS) have become an effective commercial marketing tool. However, regarding retail store location selection, it is challenging to collect…

Abstract

Purpose

Location-based services (LBS) have become an effective commercial marketing tool. However, regarding retail store location selection, it is challenging to collect analytical data. In this study, location-based social network data are employed to develop a retail store recommendation method by analyzing the relationship between user footprint and point-of-interest (POI). According to the correlation analysis of the target area and the extraction of crowd mobility patterns, the features of retail store recommendation are constructed.

Design/methodology/approach

The industrial density, area category, clustering and area saturation calculations between POIs are designed. Methods such as Kernel Density Estimation and K-means are used to calculate the influence of the area relevance on the retail store selection.

Findings

The coffee retail industry is used as an example to analyze the retail location recommendation method and assess the accuracy of the method.

Research limitations/implications

This study is mainly limited by the size and density of the datasets. Owing to the limitations imposed by the location-based privacy policy, it is challenging to perform experimental verification using the latest data.

Originality/value

An industrial relevance questionnaire is designed, and the responses are arranged using a simple checklist to conveniently establish a method for filtering the industrial nature of the adjacent areas. The New York and Tokyo datasets from Foursquare and the Tainan city dataset from Facebook are employed for feature extraction and validation. A higher evaluation score is obtained compared with relevant studies with regard to the normalized discounted cumulative gain index.

Details

Online Information Review, vol. 45 no. 2
Type: Research Article
ISSN: 1468-4527

Keywords

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Case study

Robert Schieffer and Min Chen

The spin-off of Iridium, a global telecommunications system, represented a significant business risk for Motorola, as many talented Motorola executives joined the venture…

Abstract

The spin-off of Iridium, a global telecommunications system, represented a significant business risk for Motorola, as many talented Motorola executives joined the venture in the late 1990s. This bold technology gamble suffered from numerous marketing missteps, which led to Iridium's bankruptcy in August 1999.

Details

Kellogg School of Management Cases, vol. no.
Type: Case Study
ISSN: 2474-6568
Published by: Kellogg School of Management

Keywords

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Article

Ching-Min Chen and Baithesda Baithesda

The purpose of this study is to examine different types of primary healthcare utilization and its influencing factors among the elderly in Indonesia.

Abstract

Purpose

The purpose of this study is to examine different types of primary healthcare utilization and its influencing factors among the elderly in Indonesia.

Design/methodology/approach

Data were obtained from the 5th Indonesian Family Life Survey, a longitudinal database of demography and health information using multistage stratified sampling of households. Older adults aged at least 60 years were sampled; proxy respondents and incomplete data were excluded from the study.

Findings

Most of the elderly preferred to visit nurse/midwives practitioner (NP), followed by the community health centers (CHC). Those who lived outside of the Java region were more likely to visit NP; moreover, those without formal education and lived in the rural area were more likely to use CHC. Education level, region and chronic conditions were significant predicting factors for almost all types of primary healthcare use.

Social implications

Indonesia is moving towards an aged society in the coming decades. However, there are significant barriers to access almost all types of primary health care by the elderly in Indonesia. This shows the possibility of health care inequality for the elderly population. This study provides evidence of the various types of primary healthcare use by the elderly and its influencing factors. It hopes policymakers can use the data to develop an effective strategy to enhance the quality of primary healthcare services provides to the elderly population.

Originality/value

Indonesian nurses fulfill vital functions in the health system and are often the only human resource for health not only in remote and poor rural areas but also in urban areas. Nurses, as a part of primary care providers, require an adequately trained to contribute to the better primary care system.

Details

Working with Older People, vol. 24 no. 2
Type: Research Article
ISSN: 1366-3666

Keywords

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Article

Tsung-Yi Chen, Meng-Che Tsai and Yuh-Min Chen

For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality…

Abstract

Purpose

For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality characteristics of the object of communication in order to employ an effective communication strategy. An enterprise needs to obtain the personality information of target or potential customers. However, the traditional method for personality evaluation is extremely costly in terms of time and labor, and it cannot acquire customer personality information without their awareness. Therefore, the manner in which to effectively conduct automated personality predictions for a large number of objects is an important issue. The paper aims to discuss these issues.

Design/methodology/approach

The diverse social media that have emerged in recent years represent a digital platform on which users can publicly deliver speeches and interact with others. Thus, social media may be able to serve the needs of automated personality predictions. Based on user data of Facebook, the main social media platform around the world, this research developed a method for predicting personality types based on interaction logs.

Findings

Experimental results show that the Naïve Bayes classification algorithm combined with a feature selection algorithm produces the best performance for predicting personality types, with 70-80 percent accuracy.

Research limitations/implications

In this research, the dominance, inducement, submission, and compliance (DISC) theory was used to determine personality types. Some specific limitations were encountered. As Facebook was used as the main data source, it was necessary to obtain related data via Facebook’s API (FB API). However, the data types accessible via FB API are very limited.

Practical implications

This research serves to build a universal model for social media interaction, and can be used to propose an efficient method for designing interaction features.

Originality/value

This research has developed an approach for automatically predicting the personality types of network users based on their Facebook interactions.

Details

Online Information Review, vol. 40 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

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Article

Kuo-Cheng Ting, Ruei-Ping Wang, Yi-Chung Chen, Don-Lin Yang and Hsi-Min Chen

Using social networks to identify users with traits similar to those of the target user has proven highly effective in the development of personalized recommendation…

Abstract

Purpose

Using social networks to identify users with traits similar to those of the target user has proven highly effective in the development of personalized recommendation systems. Existing methods treat all dimensions of user data as a whole, despite the fact that most of the information related to different dimensions is discrete. This has prompted researchers to adopt the skyline query for such search functions. Unfortunately, researchers have run into problems of instability in the number of users identified using this approach.

Design/methodology/approach

We thus propose the m-representative skyline queries to provide control over the number of similar users that are returned. We also developed an R-tree-based algorithm to implement the m-representative skyline queries.

Findings

By using the R-tree based algorithm, the processing speed of the m-representative skyline queries can now be accelerated. Experiment results demonstrate the efficacy of the proposed approach.

Originality/value

Note that with this new way of finding similar users in the social network, the performance of the personalized recommendation systems is expected to be enhanced.

Details

Information Discovery and Delivery, vol. 45 no. 3
Type: Research Article
ISSN: 2398-6247

Keywords

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Article

Jinyu Chen, Xindong Ye, Min Chen and Ye Liang

The purpose of this paper is to identify the papers published on urban education and analyze the characteristics of these papers to contribute to the urban education…

Abstract

Purpose

The purpose of this paper is to identify the papers published on urban education and analyze the characteristics of these papers to contribute to the urban education research over the recent years.

Design/methodology/approach

Researchers generated a comprehensive list of the articles published between 2010 and 2017 in the field of “urban education” by searching the Social Sciences Citation Index database, using the keywords of “urban” and “education.” As an additional criterion, all the articles published between 2010 and 2017 in the journals of Urban Education and Education and Urban Society were included.

Findings

There are a total of 2,123 publications that were checked and retrieved in the field of “urban education” between 2010 and 2017. Although the number of publications differs year by year, the sum of the citations received the increase from year to year on a regular basis. There are 35 articles that were cited more than h-index, as h-classics in this field for this period and top 10 of these h-classics are reported in this study. Urban Education and Education and Urban Society were revealed as the most prominent journals in the field of urban education. Also, the results show that the most cited articles, the most prolific authors and organizations, and top journals in this field are from the USA.

Research limitations/implications

The scope of this study is not extensive enough, and the data obtained are not comprehensive enough. The survey was limited to the keyword of “urban education” in the fields of title, abstract, author keywords and keywords plus.

Practical implications

This bibliometric analysis contributes to the literature of urban education through a historical perspective. Results show that the “urban education” field attracts more attention of the researchers and the impacts of these publications are increasing from year to year. Also, there is a prevalence of the USA in the field of urban education.

Originality/value

The information presented in this paper provides insight into the development of urban education research over the recent years. The data obtained in this study can be used as a reference for future researchers in urban education.

Details

Library Hi Tech, vol. 37 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

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Article

Min Chen and Chien-wen Shen

The purpose of this study was to explore the effect of innovative service mode of intelligent library on improving the service quality and a series of impacts on user…

Abstract

Purpose

The purpose of this study was to explore the effect of innovative service mode of intelligent library on improving the service quality and a series of impacts on user behavior. With the rapid development of information technology, internet of things has become an important carrier of people’s “intelligent life”. The emergence of intelligent library will no longer be limited by space; it is affecting people’s lives and work imperceptibly. This new service mode was studied here, and the relationship between the service quality of intelligent library and users’ behavior was analyzed from the perspective of user acceptance and use behavior of intelligent library. Moreover, this study explores how to optimize the service quality to let users accept this technology and service mode and thus realize the original idea.

Design/methodology/approach

Through 800 questionnaires issued to the users in the Zhejiang Provincial AI Library, the authors obtained the study data. Among the received questionnaires, 676 copies are valid, and 124 responses are either incomplete or not answered, and so, the efficient rate is 84.5 per cent.

Findings

There is a significantly positive correlation between service innovation and service quality. There is a significantly positive correlation between service quality and behavioral intention. There is a significantly positive correlation between service innovation and behavioral intention.

Originality/value

From the point of view of innovative service, this paper analyzes the effect of innovative service mode of intelligent library on improving the service quality and a series of impacts on user behavior. This study confirms that intelligent library is a relatively new service innovation. Users’ curiosity and exploration will make them access some relevant information. As a result, a reasonably innovative service is an important factor in users’ acceptance behavior.

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Article

Yazhong Deng, Wei Sun, Min Chen and Yuan Yang

It is particularly important to study the learner cognition based on information technology and change of learning environment in e-learning. Therefore, based on the…

Abstract

Purpose

It is particularly important to study the learner cognition based on information technology and change of learning environment in e-learning. Therefore, based on the combination of knowledge management and e-learning, the purpose of this paper is to discuss the basic rules and existing problems of virtual learning community (VLC).

Design/methodology/approach

In this study, a set of principles and basic framework of VLC was proposed, which could effectively instruct the construction of knowledge and collective wisdom development of VLC. Meantime, this paper revealed and constructed the theoretical framework and learning model for facilitating the advance of collective intelligence, described the main characteristics of collaborative knowledge building and traced the trajectory of convergence of collective intelligence and verified them through case studies and field studies.

Findings

The author analyzed the characteristics of VLC assisting knowledge construction and traced the trajectory of convergence of collective intelligence. In this way, the learners not only construct the meaning of knowledge in the process of participation from the edge to the center, but also complete the transformation from a green hand to an old hand. As a result, the learners form a sense of belonging to the community and complete the identity construction as a member of the community in the process of co-constructing the cultural tradition and value orientation of the community.

Research limitations/implications

The analysis of the framework is made relatively in general terms, and lacks of the concrete, practical analysis. Therefore, it is necessary to adopt the social network analysis method to carry out systematic research on the framework, so as to make the actual operation of the VLC more practical.

Practical implications

It is significant to adopt the construction of the research system and theoretical framework in building VLC so as to improve the learner’s abilities of knowledge building and make full use of the advantages of the VLC.

Originality/value

This paper revealed and constructed the theoretical framework and learning model for facilitating the advance of collective intelligence. Besides, it provides a model reference for the follow-up construction of a new collective learning model.

Details

Library Hi Tech, vol. 37 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

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Article

Qiong Liu, Zhongming Cheng and Min Chen

This study aims to propose the corresponding ways and methods to strengthen the environmental moral education based on scientific research methods, rigorous scientific…

Abstract

Purpose

This study aims to propose the corresponding ways and methods to strengthen the environmental moral education based on scientific research methods, rigorous scientific theory and the specific content of environmental moral education.

Design/methodology/approach

In this study, taking 360 volunteers of Yangtze University, Hubei, as the research samples, the 32-week (3 h per week) experimental research was preceded in this study. Among the 360 distributed copies of questionnaires, 289 copies are valid, with the retrieval rate 80 per cent.

Findings

The research results show significant correlations between environmental education and environmental ethics; environmental ethics and environmental literacy; and environmental education and environmental literacy.

Research limitations/implications

The research on the environmental moral education in China was still in the primary stage, and there were few results that can be used for reference. As a result, there was a lack of empirical research in this paper, which needed to be further expanded and improved.

Practical implications

This study put forward a series of new judgments and new views to solve the problems, which provided a good theoretical basis for the current education and teaching work of the majority of educators and valuable reference for future research on related topics. This study was helpful to further enhance the environmental moral awareness and environmental moral level. Aiming at the problems existing in environmental moral education, this study proposed a series of solutions to make the whole society, schools and families work together for the improvement and development of environmental moral education.

Originality/value

This study was helpful to promote environmental moral quality and level, promote the harmony between man and nature and form a good habit of environmental protection in the whole society.

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Article

Yu-Hsin Chen, Min-Cing Chen and Ching-Jui Keng

This study aimed to develop and validate an online live streaming perceived servicescape (OLSPS) scale that can help platform service providers to develop strategies for…

Abstract

Purpose

This study aimed to develop and validate an online live streaming perceived servicescape (OLSPS) scale that can help platform service providers to develop strategies for new live streaming channel promotions.

Design/methodology/approach

This study conceptualized the construct of OLSPS and the four-phase procedure of the 66-item OLSPS scale development, including item generation, item purification, scale validation, measure application and testing of hypotheses. It also provided a research framework to assess audiences' cognition and behavioral intention, and an online survey on 420 live streaming users (social platforms, n = 210; native platforms, n = 210) was conducted.

Findings

This study developed and validated a 35-item OLSPS scale with eight dimensions. The results of the empirical model showed that OLSPS is positively correlated with the audiences' cognition and behavioral intention. Furthermore, parasocial interaction experience showed a positive moderation on channel trust.

Originality/value

This study is a pioneering effort to develop and validate an OLSPS scale. The results could be helpful for researchers in building OLSPS and for managers in assessing and promoting users' acceptance of online live streaming platforms.

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