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Article
Publication date: 1 July 2012

Lung Hung Chen, Mei-Yen Chen, Yun-Ci Ye, I-Wu Tung, Chih-Fu Cheng and Shen Tung

The aim of this study was to integrate the hierarchical model of the perceived service quality (PSQ) theory with the bottom-up theory of satisfaction. It was hypothesised…

Abstract

The aim of this study was to integrate the hierarchical model of the perceived service quality (PSQ) theory with the bottom-up theory of satisfaction. It was hypothesised that satisfaction with sporting events would mediate the relationship between PSQ and life satisfaction. Study 1 was conducted to translate the Perceived Service Quality questionnaire (PSQQ) (Brady & Cronin, 2011) into Chinese and to validate it for sporting events. Study 2 was conducted to examine the main hypothesis. The results indicated that satisfaction-withevent partially mediated the relationship between PSQ and life satisfaction. The results are discussed in terms of both the examined theories.

Details

International Journal of Sports Marketing and Sponsorship, vol. 13 no. 4
Type: Research Article
ISSN: 1464-6668

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Article
Publication date: 12 July 2019

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

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Article
Publication date: 6 February 2017

Feicheng Ma, Ye Chen and Yiming Zhao

This paper aims to propose a conceptual model for improving the organization of user needs information in the big data environment.

Abstract

Purpose

This paper aims to propose a conceptual model for improving the organization of user needs information in the big data environment.

Design/methodology/approach

A conceptual model of the organization of user needs information based on Linked Data techniques is constructed. This model has three layers: the Data Layer, the Semantic Layer and the Application Layer.

Findings

Requirements for organizing user needs information in the big data environment are identified as follows: improving the intelligence level, establishing standards and guidelines for the description of user needs information, enabling the interconnection of user needs information and considering individual privacy in the organization and analysis of user needs.

Practical implications

This Web of Needs model could be used to improve knowledge services by matching user needs information with increasing semantic knowledge resources more effectively and efficiently in the big data environment.

Originality/value

This study proposes a conceptual model, the Web of Needs model, to organize and interconnect user needs. Compared with existing methods, the Web of Needs model satisfies the requirements for the organization of user needs information in the big data environment with regard to four aspects: providing the basis and conditions for intelligent processing of user needs information, using RDF as a description norm, enabling the interconnection of user needs information and setting various protocols to protect user privacy.

Details

The Electronic Library, vol. 35 no. 1
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 19 June 2017

Zhelong Wang and Ye Chen

In sensor-based activity recognition, most of the previous studies focused on single activities such as body posture, ambulation and simple daily activities. Few works…

Abstract

Purpose

In sensor-based activity recognition, most of the previous studies focused on single activities such as body posture, ambulation and simple daily activities. Few works have been done to analyze complex concurrent activities. The purpose of this paper is to use a statistical modeling approach to classify them.

Design/methodology/approach

In this study, the recognition problem of concurrent activities is explored with the framework of parallel hidden Markov model (PHMM), where two basic HMMs are used to model the upper limb movements and lower limb states, respectively. Statistical time-domain and frequency-domain features are extracted, and then processed by the principal component analysis method for classification. To recognize specific concurrent activities, PHMM merges the information (by combining probabilities) from both channels to make the final decision.

Findings

Four studies are investigated to validate the effectiveness of the proposed method. The results show that PHMM can classify 12 daily concurrent activities with an average recognition rate of 93.2 per cent, which is superior to regular HMM and several single-frame classification approaches.

Originality/value

A statistical modeling approach based on PHMM is investigated, and it proved to be effective in concurrent activity recognition. This might provide more accurate feedback on people’s behaviors.

Practical implications

The research may be significant in the field of pervasive healthcare, supporting a variety of practical applications such as elderly care, ambient assisted living and remote monitoring.

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Book part
Publication date: 7 October 2015

Azizah Ahmad

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive…

Abstract

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Details

Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics
Type: Book
ISBN: 978-1-78441-764-2

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Book part
Publication date: 28 December 2016

Marios Sotiriadis and Ciná van Zyl

The aim of this chapter is twofold: (i) to perform a synthesis of the academic research regarding the changes of tourist consumer behavior brought about by social media;…

Abstract

Purpose

The aim of this chapter is twofold: (i) to perform a synthesis of the academic research regarding the changes of tourist consumer behavior brought about by social media; and (ii) to suggest a set of strategies for tourism businesses to address resulting challenges.

Methodology/approach

Extensive literature reviews have been executed on the motivating factors and the effects of online reviews.

Findings

This analysis of the related research identified three main topics, namely: (1) the antecedents, the factors motivating tourists to write online reviews; (2) the impact of eWOM on providers of tourism services (business perspective); and (3) the influence of online reviews on consumers’ behavior (demand perspective). This chapter focuses on the impact of online reviews on tourism businesses and suggests suitable strategies.

Research limitations/implications

This study is based on a literature review and implications indicated by previous studies; hence the suggestions are indicative rather than conclusive. A need exists for empirical studies to fully validate the chapter’s suggestions.

Practical implications

This chapter outlines a series of adequate strategies formulated for business practitioners divided into two fields, namely managerial and marketing activities.

Originality/value

This study provides practical recommendations/suggestions for tourism businesses in addressing the challenges and opportunities raised within the online context.

Details

The Handbook of Managing and Marketing Tourism Experiences
Type: Book
ISBN: 978-1-78635-289-7

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Article
Publication date: 16 January 2017

Ye Chen and Zhelong Wang

Existing studies on human activity recognition using inertial sensors mainly discuss single activities. However, human activities are rather concurrent. A person could be…

Abstract

Purpose

Existing studies on human activity recognition using inertial sensors mainly discuss single activities. However, human activities are rather concurrent. A person could be walking while brushing their teeth or lying while making a call. The purpose of this paper is to explore an effective way to recognize concurrent activities.

Design/methodology/approach

Concurrent activities usually involve behaviors from different parts of the body, which are mainly dominated by the lower limbs and upper body. For this reason, a hierarchical method based on artificial neural networks (ANNs) is proposed to classify them. At the lower level, the state of the lower limbs to which a concurrent activity belongs is firstly recognized by means of one ANN using simple features. Then, the upper-level systems further distinguish between the upper limb movements and infer specific concurrent activity using features processed by the principle component analysis.

Findings

An experiment is conducted to collect realistic data from five sensor nodes placed on subjects’ wrist, arm, thigh, ankle and chest. Experimental results indicate that the proposed hierarchical method can distinguish between 14 concurrent activities with a high classification rate of 92.6 per cent, which significantly outperforms the single-level recognition method.

Practical implications

In the future, the research may play an important role in many ways such as daily behavior monitoring, smart assisted living, postoperative rehabilitation and eldercare support.

Originality/value

To provide more accurate information on people’s behaviors, human concurrent activities are discussed and effectively recognized by using a hierarchical method.

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Article
Publication date: 7 August 2017

Enying Li, Fan Ye and Hu Wang

The purpose of study is to overcome the error estimation of standard deviation derived from Expected improvement (EI) criterion. Compared with other popular methods, a…

Abstract

Purpose

The purpose of study is to overcome the error estimation of standard deviation derived from Expected improvement (EI) criterion. Compared with other popular methods, a quantitative model assessment and analysis tool, termed high-dimensional model representation (HDMR), is suggested to be integrated with an EI-assisted sampling strategy.

Design/methodology/approach

To predict standard deviation directly, Kriging is imported. Furthermore, to compensate for the underestimation of error in the Kriging predictor, a Pareto frontier (PF)-EI (PFEI) criterion is also suggested. Compared with other surrogate-assisted optimization methods, the distinctive characteristic of HDMR is to disclose the correlations among component functions. If only low correlation terms are considered, the number of function evaluations for HDMR grows only polynomially with the number of input variables and correlative terms.

Findings

To validate the suggested method, various nonlinear and high-dimensional mathematical functions are tested. The results show the suggested method is potential for solving complicated real engineering problems.

Originality/value

In this study, the authors hope to integrate superiorities of PFEI and HDMR to improve optimization performance.

Details

Engineering Computations, vol. 34 no. 6
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 1 April 2014

Chuanmin Mi, Xiaofei Shan, Yuan Qiang, Yosa Stephanie and Ye Chen

Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big…

Abstract

Purpose

Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic.

Design/methodology/approach

The phenomenon of “poor information” exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed.

Findings

Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account.

Research limitations/implications

Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future.

Practical implications

Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world.

Originality/value

A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.

Details

Kybernetes, vol. 43 no. 3/4
Type: Research Article
ISSN: 0368-492X

Keywords

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Book part
Publication date: 22 June 2015

Inês Miranda, Nuno Gustavo and Eugénia Castela

The Algarve is a region located in the South of Portugal and is mostly known for its sun and sea product. In order to strengthen the Algarve’s competitiveness, the…

Abstract

The Algarve is a region located in the South of Portugal and is mostly known for its sun and sea product. In order to strengthen the Algarve’s competitiveness, the Allgarve program was launched in 2007. We intend to analyze the importance of events as a differentiation factor of tourist destinations. Questions like loyalty, satisfaction, and perception about the event’s program are the main subjects analyzed. This study uses data from a questionnaire applied to 224 individuals who attended “street artist events” and pop music concerts in the 2011 edition of the Allgarve program. Two main techniques were applied: OVERALS and k-means. Despite its flaws, positive conclusions were reached, and after its five editions, the program was finally able to be linked to the region’s image, distinguishing it in a wide range of cultural events and entertainment.

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