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Article
Publication date: 1 June 2015

John Renaud, Scott Britton, Dingding Wang and Mitsunori Ogihara

Library data are often hard to analyze because these data come from unconnected sources, and the data sets can be very large. Furthermore, the desire to protect user…

Abstract

Purpose

Library data are often hard to analyze because these data come from unconnected sources, and the data sets can be very large. Furthermore, the desire to protect user privacy has prevented the retention of data that could be used to correlate library data to non-library data. The research team used data mining to determine library use patterns and to determine whether library use correlated to students’ grade point average.

Design/methodology/approach

A research team collected and analyzed data from the libraries, registrar and human resources. All data sets were uploaded into a single, secure data warehouse, allowing them to be analyzed and correlated.

Findings

The analysis revealed patterns of library use by academic department, patterns of book use over 20 years and correlations between library use and grade point average.

Research limitations/implications

Analysis of more narrowly defined user populations and collections will help develop targeted outreach efforts and manage the print collections. The data used are from one university; therefore, similar research is needed at other institutions to determine whether these findings are generalizable.

Practical implications

The unexpected use of the central library by those affiliated with law resulted in cross-education of law and central library staff. Management of the print collections and user outreach efforts will reflect more nuanced selection of subject areas and departments.

Originality/value

A model is suggested for campus partnerships that enables data mining of sensitive library and campus information.

Details

The Electronic Library, vol. 33 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 3 February 2020

Dingding Xiang, Xipeng Tan, Zhenhua Liao, Jinmei He, Zhenjun Zhang, Weiqiang Liu, Chengcheng Wang and Beng Tor Shu

This paper aims to study the wear properties of electron beam melted Ti6Al4V (EBM-Ti6Al4V) in simulated body fluids for orthopedic implant biomedical applications compared…

Abstract

Purpose

This paper aims to study the wear properties of electron beam melted Ti6Al4V (EBM-Ti6Al4V) in simulated body fluids for orthopedic implant biomedical applications compared with wrought Ti6Al4V (Wr-Ti6Al4V).

Design/methodology/approach

Wear properties of EBM-Ti6Al4V compared with Wr-Ti6Al4V against ZrO2 and Al2O3 have been investigated under dry friction and the 25 Wt.% newborn calf serum (NCS) lubricated condition using a ball-on-disc apparatus reciprocating motion. The microstructure, composition and hardness of the samples were characterized using scanning electron microscopy (SEM), x-ray diffraction and a hardness tester, respectively. The contact angles with 25 Wt.% NCS were measured by a contact angle apparatus. The wear parameters, wear 2D and 3D morphology were obtained using a 3D white light interferometer and SEM.

Findings

EBM-Ti6Al4V yields a higher contact angle than the Wr-Ti6Al4V with the 25 Wt.% NCS. EBM-Ti6Al4V couplings exhibit lower coefficients of friction compared with the Wr-Ti6Al4V couplings under both conditions. There is only a slight difference in the wear resistance between the Wr-Ti6Al4V and EBM-Ti6Al4V alloys. Both Wr-Ti6Al4V and EBM-Ti6Al4V suffer from similar friction and wear mechanisms, i.e. adhesive and abrasive wear in dry friction, while abrasive wear under the NCS condition. The wear depth and wear volume of the ZrO2 couplings are lower than those of the Al2O3 couplings under both conditions.

Originality/value

This paper helps to establish baseline bio-tribological data of additively manufactured Ti6Al4V by electron beam melting in simulated body fluids for orthopedic applications, which will promote the application of additive manufacturing in producing the orthopedic implant.

Details

Rapid Prototyping Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1355-2546

Keywords

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Book part
Publication date: 16 December 2009

Yiguo Sun, Raymond J. Carroll and Dingding Li

We consider the problem of estimating a varying coefficient panel data model with fixed-effects (FE) using a local linear regression approach. Unlike first-differenced…

Abstract

We consider the problem of estimating a varying coefficient panel data model with fixed-effects (FE) using a local linear regression approach. Unlike first-differenced estimator, our proposed estimator removes FE using kernel-based weights. This results a one-step estimator without using the backfitting technique. The computed estimator is shown to be asymptotically normally distributed. A modified least-squared cross-validatory method is used to select the optimal bandwidth automatically. Moreover, we propose a test statistic for testing the null hypothesis of a random-effects varying coefficient panel data model against an FE one. Monte Carlo simulations show that our proposed estimator and test statistic have satisfactory finite sample performance.

Details

Nonparametric Econometric Methods
Type: Book
ISBN: 978-1-84950-624-3

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Article
Publication date: 9 September 2013

Dingding Zhao, Ping Cai and Wei Qi

– The purpose of this paper is to propose a method to remit or mitigate deterioration resulting from the influence of short data length to existing signal extracting methods.

Abstract

Purpose

The purpose of this paper is to propose a method to remit or mitigate deterioration resulting from the influence of short data length to existing signal extracting methods.

Design/methodology/approach

Careful design of the pre-filtering circuits to refrain most of the noise and disturbance and remove the influence of operation speed of the concerned balancing machine. Based on the analysis on the spectral feature of the unbalance vibration signal, a pre-filtering circuit is designed, then the signal extension method based on AR prediction model are discussed and used to prolong sampled signal.

Findings

With the extension method, sampled signal can be extended to required length to enhance the performance of refraining nearby frequency disturbance. The results of simulation and field experiments demonstrate the feasibility of the presented extension method.

Practical implications

Improved measurement efficiency of balancing machine and provided a method to trade off between measurement accuracy and measurement efficiency.

Originality/value

The paper presents a way to improve extraction accuracy and frequency resolution with limited cycles of unbalance vibration signal.

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Article
Publication date: 1 February 2016

Xuefeng Zhao, Qing Tang, Shan Liu and Fen Liu

The purpose of this paper is to integrate social capital theory and motivation theory to identify the factors that affect the intention of users to share mobile coupons…

Abstract

Purpose

The purpose of this paper is to integrate social capital theory and motivation theory to identify the factors that affect the intention of users to share mobile coupons (m-coupons) via social network sites (SNS). Social capital includes social ties, trust, and perceived similarity, whereas motivation comprises sense of self-worth and socializing.

Design/methodology/approach

A research model that integrates three social capital factors, two motivations, and m-coupon sharing is developed. Quantitative data from 297 users who had coupon usage experience are collected via offline and online survey. Partial least squares is used to conduct data analysis and test hypotheses.

Findings

Social ties, trust, and perceived similarity are positively related to m-coupon sharing intention and positively affect sense of self-worth and socializing, which have significant positive effects on m-coupon sharing intention and mediate the relationships between social capital factors and sharing intention.

Originality/value

This study highlights the integrated effects of social capital and motivations on m-coupon sharing intention in SNS. While social capital factors (i.e. social ties, trust, and perceived similarity) and motivations (i.e. sense of self-worth and socializing) positively affect m-coupon sharing, motivations are more directly associated with m-coupon sharing than social capital factors.

Details

Industrial Management & Data Systems, vol. 116 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

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Book part
Publication date: 16 December 2009

Abstract

Details

Nonparametric Econometric Methods
Type: Book
ISBN: 978-1-84950-624-3

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Article
Publication date: 1 February 2016

Qing Tang, Xuefeng Zhao and Shan Liu

The purpose of this paper is to investigate the influence of two intrinsic (i.e. sense of self-worth and socializing) and two extrinsic motivations (i.e. economic reward…

Abstract

Purpose

The purpose of this paper is to investigate the influence of two intrinsic (i.e. sense of self-worth and socializing) and two extrinsic motivations (i.e. economic reward and reciprocity) on mobile coupon (m-coupon) sharing by users in social network sites (SNSs). Moreover, this study examines how coupon proneness moderates the relationship between motivations and m-coupon sharing in SNSs.

Design/methodology/approach

A research model that integrates four motivations, coupon proneness, and m-coupon sharing is developed. Quantitative data from 247 users are collected via online and offline survey. Partial least squares technique is employed to evaluate the measurement model, and hypotheses are tested through hierarchical regression analysis.

Findings

Sense of self-worth, socializing, economic reward and reciprocity have positive effects on m-coupon sharing in SNSs. Furthermore, coupon proneness positively moderates the relationship of socializing and reciprocity with m-coupon sharing, whereas the moderating effects of coupon proneness on the relationship of sense of self-worth and economic reward with m-coupon sharing are insignificant.

Originality/value

The findings highlight the integrated effects of coupon proneness and motivations on m-coupon sharing in SNS. The impact of socializing and reciprocity on m-coupon sharing is higher for users with higher coupon proneness. However, the effect of sense of self-worth and economic reward on m-coupon sharing is the same regardless of coupon proneness of users. Therefore, although users with different motivations should be identified, SNSs and merchants should develop different incentive mechanisms to promote m-coupon sharing among various users.

Details

Internet Research, vol. 26 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

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Case study
Publication date: 8 April 2021

Wiboon Kittilaksanawong and Huijing Liu

Students will be able to analyse competitive situations of the focal firm in the platform market, factors that make the focal firm become dominant in the sharing economy…

Abstract

Learning outcomes

Students will be able to analyse competitive situations of the focal firm in the platform market, factors that make the focal firm become dominant in the sharing economy through the technology platform and the focal firm’s motives and growth strategies through mergers and acquisitions and overseas expansion, as well as give recommendations on the focal firm’s strategies to move forward to achieve and maintain its competitive position in the platform market.

Case overview/synopsis

On 4th April, 2018, Meituan-Dianping (Meituan), a Chinese group-buying website for consumer products and retail services acquired Mobike, a Chinese dockless bike-sharing platform for US$2.7bn. Mobike had raised several rounds of funding for its large investments and operations in this highly competitive and cash-intensive industry. However, it was still struggling to survive and make a profit in the Chinese and overseas markets. It was believed that the merger between the companies was the only viable alternative. Had Meituan’s Chief Executive Officer made the right decision in acquiring Mobike? After Mobike became an integral part of Meituan, what should be done to turn this technology platform to be profitable in the Chinese and overseas market?

Complexity academic level

The case is intended for senior undergraduate or graduate-level courses in business schools.

Supplementary materials

Teaching Notes are available for educators only.

Subject code

CSS 11: Strategy.

Details

Emerald Emerging Markets Case Studies, vol. 11 no. 1
Type: Case Study
ISSN: 2045-0621

Keywords

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Article
Publication date: 12 August 2014

Hoa Khanh Dam

The paper aims to address the issue of Web service providers facing a major issue of estimating the potential effects of changing a Web service to other services…

Abstract

Purpose

The paper aims to address the issue of Web service providers facing a major issue of estimating the potential effects of changing a Web service to other services, especially in large ecosystems of Web services which have become more common nowadays. Web service providers make constant changes to their Web services to meet the ever-changing business requirements.

Design/methodology/approach

The paper proposes an approach to predict change impact by mining a version history of a Web service ecosystem. The proposed approach extracts patterns of Web services that have been changed together from the version history by using association rule data mining techniques. The approach then uses this knowledge of co-changed patterns for predicting the impact of future changes based on the assumption that Web services which have been changed together frequently in the past will likely be changed together in future.

Findings

An empirical validation based on the Amazon’s ecosystem of 46 Web services indicates the effectiveness of the proposed approach. After an initial change, the proposed approach can correctly predict up to 25 per cent of further Web services to be changed with the precision of up to 82 per cent.

Originality/value

Traditional approaches to predict change impact in Web services tend to rely on having a dependency graph between Web services. However, in practice, building and maintaining inter-service dependencies that capture the precise semantics and behaviours of the Web services are challenging and costly. The proposed approach offers a novel alternative which only requires mining the existing version history of Web services.

Details

International Journal of Web Information Systems, vol. 10 no. 3
Type: Research Article
ISSN: 1744-0084

Keywords

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