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Article
Publication date: 7 July 2020

Jiaming Liu, Liuan Wang, Linan Zhang, Zeming Zhang and Sicheng Zhang

The primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction…

Abstract

Purpose

The primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction performance of four tree-based ensemble models, i.e. bagging with tree regressors (bagging-decision tree [Bagging-DT]), AdaBoost with tree regressors (Adaboost-DT), random forest (RF) and gradient boosting decision tree (GBDT).

Design/methodology/approach

This study proposed a majority voting feature selection method by combining lasso regression with the Akaike information criterion (AIC) (LR-AIC), lasso regression with the Bayesian information criterion (BIC) (LR-BIC) and RF to select indicators with excellent predictive performance from initial 38 indicators in 5,642 samples. The selected features were deployed to build the tree-based ensemble models. The 10-fold cross-validation (CV) method was used to evaluate the performance of each ensemble model.

Findings

The results of feature selection indicated that age, corpuscular hemoglobin concentration (CHC), red blood cell volume distribution width (RBCVDW), red blood cell volume and leucocyte count are five most important clinical/physical indicators in BG prediction. Furthermore, this study also found that the GBDT ensemble model combined with the proposed majority voting feature selection method is better than other three models with respect to prediction performance and stability.

Practical implications

This study proposed a novel BG prediction framework for better predictive analytics in health care.

Social implications

This study incorporated medical background and machine learning technology to reduce diabetes morbidity and formulate precise medical schemes.

Originality/value

The majority voting feature selection method combined with the GBDT ensemble model provides an effective decision-making tool for predicting BG and detecting diabetes risk in advance.

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Article
Publication date: 19 June 2017

Jiaming Liu, Chong Wu and Tianyi Su

The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s…

Abstract

Purpose

The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s optimal pricing policy and ordering quantity.

Design/methodology/approach

This study utilizes the prospect theory and strategic customer framework to analyze the decision-making behavior on the newsvendor’s optimal pricing policy and ordering quantity. The paper further presents an extension of newsvendor model and provides the model’s properties. The paper finally analyzes the results with various parameters on the model and reports on the insights generated by the model.

Findings

The paper indicates that the ordering quantity is not altered with the changing proportion of strategic customers and myopic customers, but the ordering quantity and the pricing strategy are influenced in terms of newsvendor’s reference effect, loss aversion, product cost, and salvage price.

Practical implications

The research findings have important implications for decision makers. Previous researches have studied the incomplete rationality newsvendor’s decision-making behavior mainly by analyzing the vendor’s risk preferences or loss aversion, but the effect of reference point also plays an important role in analyzing the decision-maker’s behavior. The paper provides the optimal pricing policy and ordering quantity with the reference effect considering the strategic customers behavior. This model is also a valid complementarity to behavioral operations management research area.

Originality/value

The paper examines the role of reference effect in newsvendor problem with the strategic customers and analyzes the impact of parameters such as loss aversion on the newsvendor’s decision behavior.

Details

Management Decision, vol. 55 no. 5
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 5 August 2019

Yongli Li, Sihan Li, Chuang Wei and Jiaming Liu

Due to the unintentional or even the intentional mistakes arising from a survey, the purpose of this paper is to present a data-driven method for detecting students…

Abstract

Purpose

Due to the unintentional or even the intentional mistakes arising from a survey, the purpose of this paper is to present a data-driven method for detecting students’ friendship network based on their daily behaviour data. Based on the detected friendship network, this paper further aims to explore how the considered network effects (i.e. friend numbers (FNs), structural holes (SHs) and friendship homophily) influence students’ GPA ranking.

Design/methodology/approach

The authors collected the campus smart card data of 8,917 sophomores registered in one Chinese university during one academic year, uncovered the inner relationship between the daily behaviour data with the friendship to infer the friendship network among students, and further adopted the ordered probit regression model to test the relationship between network effects with GPA rankings by controlling several influencing variables.

Findings

The data-driven approach of detecting friendship network is demonstrated to be useful and the empirical analysis illustrates that the relationship between GPA ranking and FN presents an inverted “U-shape”, richness in SHs positively affects GPA ranking, and making more friends within the same department will benefit promoting GPA ranking.

Originality/value

The proposed approach can be regarded as a new information technology for detecting friendship network from the real behaviour data, which is potential to be widely used in many scopes. Moreover, the findings from the designed empirical analysis also shed light on how to improve GPA rankings from the angle of network effect and further guide how many friends should be made in order to achieve the highest GPA level, which contributes to the existing literature.

Details

Information Technology & People, vol. 33 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 24 May 2018

Jiaming Han, Zhong Yang, Guoxiong Hu, Ting Fang and Hao Xu

This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes.

Abstract

Purpose

This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes.

Design/methodology/approach

The proposed method includes two main stages: drivable region estimation and vanishing point detection. In drivable region estimation stage, the road image is segmented into a set of patches; then the drivable region is estimated by the patch-wise manifold ranking. In vanishing point detection stage, the LSD method is used to extract the straight lines; then a series of principles are proposed to remove the noise lines. Finally, the vanishing point is detected by a novel voting strategy.

Findings

The proposed method is validated on various unstructured road images collected from the real world. It is more robust and more efficient than the state-of-the-art method and the other three recent methods. Experimental results demonstrate that the detected vanishing point is practical for vision-sensor-based navigation in complex unstructured road scenes.

Originality/value

This paper proposes a patch-wise manifold ranking method to estimate the drivable region that contains most of the informative clues for vanishing point detection. Based on the removal of the noise lines through a series of principles, a novel voting strategy is proposed to detect the vanishing point.

Details

Sensor Review, vol. 39 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 18 March 2020

Jiaming Zhang and Xiangrong Deng

This study aims to empirically analyze how interest rate liberalization affects bank liquidity creation, and investigate whether the relationship between them is linear.

Abstract

Purpose

This study aims to empirically analyze how interest rate liberalization affects bank liquidity creation, and investigate whether the relationship between them is linear.

Design/methodology/approach

Based on panel data on 145 banks in China over the period 1997–2015, this paper regresses the econometric model by conducting feasible generalized least square estimation.

Findings

The regression results show that, first, interest rate liberalization has a nonlinear impact on bank liquidity creation, and the relationship between them is inverted U-shaped. In other words, as interest rate liberalization progresses, bank liquidity creation increases first, and then decreases. Second, through the mediation effect tests, this study found that interest rate liberalization affects bank liquidity creation through bank risk-taking. That is, interest rate liberalization leads to changes in bank risk-taking, thus resulting in changes in bank liquidity creation.

Research limitations/implications

The effect of interest rate liberalization on bank liquidity creation is nonlinear, so promoting interest rate liberalization faces a trade-off because excessive bank liquidity creation may lead to asset price bubbles, while insufficient bank liquidity creation may inhibit economic growth.

Practical implications

Interest rate liberalization has a significant impact on bank liquidity creation; therefore, bank liquidity creation should be added to the objective function of the regulator that determines interest rate liberalization reform in China.

Social implications

Interest rate liberalization has a direct impact on bank risk-taking, so the consequences of interest rate liberalization should be included in the framework of macro-prudential supervision.

Originality/value

Interest rate liberalization is one of the most important financial reforms in China, yet its potential impact on firm-level bank liquidity is little explored. This paper attempts to fill the gap.

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Article
Publication date: 15 August 2008

Coen Heijes

The purpose of this paper is to define and test a supplier selection model for Chinese and foreign banks in China.

Abstract

Purpose

The purpose of this paper is to define and test a supplier selection model for Chinese and foreign banks in China.

Design/methodology/approach

In total, 12 reasons affecting customers' choice in selecting Chinese or foreign banks are developed and their respective importance are tested through 2,000 questionnaires which were distributed over the city‐zones of Hangzhou.

Findings

Supplier performance in terms of responsiveness is of particular importance in preferring foreign banks, which are seen to have an advantage in terms of professionalism, innovation and client‐orientation. For Chinese banks only one selection reason belongs to an inherent advantage, a large and convenient network, with the other reasons deriving from government's protection and historical conditions. Surprisingly, cultural aspects such as “guanxi” or personal relationship are only of minor importance.

Research limitations/implications

Differentiates customers only by way of age and salary and focuses on the eastern urban population. Another shortcoming is the lack of extended qualitative research.

Practical implications

With the transition of the market for financial services in China customers will have increasing options to choose between Chinese and foreign banks. This paper offers valuable information regarding customer selection processes in China.

Originality/value

With most cross‐comparative research based on standard cultural dimensions, this study focuses on specific behaviour of Chinese customers in selecting services with Chinese or foreign banks, finding cross‐national differences to be less important than the characteristics of the specific market or product. This work also adds to the ongoing research agenda concerning Chinese customers' behaviour and Chinese banking.

Details

Chinese Management Studies, vol. 2 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

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Article
Publication date: 17 November 2020

Kurtulus Karamustafa, Pembe Ülker and Harun Çalhan

This study provides insights on the perceptions of residents in destinations offering different tourism products at different levels of tourism development.

Abstract

Purpose

This study provides insights on the perceptions of residents in destinations offering different tourism products at different levels of tourism development.

Design/methodology/approach

A total of 1,122 valid responses were gathered through surveys from the residents of three unique destinations, with different levels of tourism development. Non-parametric tests were performed since the data was gathered on an ordinal scale and not distributed normally.

Findings

The tourism perceptions of the residents formed a five-factor structure, namely “socioecological negative”, “socioeconomic positive”, “socioecological development (wellbeing)”, “negative perceptions of tourism” and “tendency to become visitor”. All dimensions except for “socioeconomic positive” differed significantly by destinations in terms of level of tourism development or type of tourism product offered.

Research limitations/implications

Residents' perceptions of tourism differ based on different tourism products and different levels of tourism development of destinations. The residents of the most mature destinations in terms of tourism development have the most negative perceptions of tourism.

Originality/value

Although there are studies investigating how residents' perceptions differ based on the level of tourism development of destinations, this study, with its holistic approach, aims to provide insights on how residents' perceptions of tourism differ based on the tourism products offered by different destinations. The selected destinations differ from each other in both their level of tourism involvement and products they offer, hence the originality of the current study with its unique contribution to the related body of knowledge.

Details

Journal of Hospitality and Tourism Insights, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9792

Keywords

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Article
Publication date: 1 November 2018

Leslier Valenzuela-Fernández, Carolina Nicolas and Jose M. Merigo

The purpose of this paper is to present a general overview of the most influential countries according to their scientific contributions in marketing for the 1990–2014…

Abstract

Purpose

The purpose of this paper is to present a general overview of the most influential countries according to their scientific contributions in marketing for the 1990–2014 period. In this bibliometric-based research, the authors generate a ranking of the 50 most influential nations according to the H-index and citations per paper, co-authorship, citation analysis and bibliographic coupling. The study provides a map that identifies the networks of researchers between countries.

Design/methodology/approach

The method used is bibliometric analysis. The relevant research in marketing was extracted from Web of Science Database Core Collection, during the 1990–2014 period; 29,947 published articles in 50 countries were obtained. The investigation used: H-index as the first criterion in creating the country ranking, number of articles (TP) as a proxy for the productivity of each country, the average citation per article (C/P) and the number of citations (TC) to express the influence of a country’s articles. In addition, the study adopts VOSviewer software to identify the collaboration networks of researchers between countries and the links between countries.

Findings

The results reveal a general level that 54 percent of countries have a category H-index greater than 20. In turn, the authors see a steady increase in the number of publications over the five-year periods. The first ten countries account for over 80 percent of all publications of the sample. The USA is presented here as the leader in all indicators and highlights the important role that China has been developing.

Research limitations/implications

Several limitations of the study result from the use of the Web of Science database. For example, each journal, author, university and/or country involved in a specific paper is considered a single unit. Therefore, in research papers with more than one author or with authors from different universities and/or countries, only the lead author is considered in the analysis. In addition, the study does not include new trends in publications between 2014 and 2018. However, there are other databases that could have been used such as: Scopus, Google Scholar, among others.

Practical implications

The findings are relevant for students, academics, organizations and governments, which may use this information for decision making on future research, identifying countries concerning the area and their relationships.

Originality/value

This paper shows progress and contribution of the most influential countries according to their scientific contribution in marketing during the period 1990–2014. This research is relevant because until now there has been no study with the sole purpose of ranking countries according to their marketing publications. In this sense, the study is useful to academics, publishers, educational institutions or other interested in marketing. The study provides a knowledge domain map that identifies the collaboration networks of researchers between countries and the links between countries.

Details

American Journal of Business, vol. 33 no. 4
Type: Research Article
ISSN: 1935-5181

Keywords

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Article
Publication date: 27 July 2021

Pınar Başgöze, Yaprak Atay, Selin Metin Camgöz and Lydia Hanks

The purpose of this study is to evaluate the impact of reward structure on the customer's value perception of the program, loyalty to the program and loyalty to the firm.

Abstract

Purpose

The purpose of this study is to evaluate the impact of reward structure on the customer's value perception of the program, loyalty to the program and loyalty to the firm.

Design/methodology/approach

A 2 (type of reward) x 2 (timing of redemption) between subjects experimental design was conducted. In addition, the indirect effect of the customer's value perception of the program on loyalty to the firm via loyalty to the program is tested with Hayes and Preacher's mediation procedure.

Findings

Study results indicated that type of reward has a positive impact on the perceived value of a loyalty program. Program loyalty mediates the relationship between the perceived value of the loyalty program and customer loyalty, as well as the relationship between type of reward and customer loyalty.

Originality/value

The findings of this study demonstrate the importance of the type and timing of loyalty program rewards on customer perceptions of the value of the loyalty program. In addition, this study is a step forward in providing a deep understanding of the impact of such perceptions on loyalty. These findings fill a number of research gaps and provide tangible guidance for practitioners.

Details

Journal of Service Theory and Practice, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2055-6225

Keywords

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Article
Publication date: 10 August 2020

Jörg Finsterwalder and Volker G. Kuppelwieser

This article explores the impact of crises, such as the coronavirus pandemic, on service industries, service customers, and the service research community. It…

Abstract

Purpose

This article explores the impact of crises, such as the coronavirus pandemic, on service industries, service customers, and the service research community. It contextualizes pandemics in the realm of disasters and crises, and how they influence actors' well-being across the different levels of the service ecosystem. The paper introduces a resources–challenges equilibrium (RCE) framework across system levels to facilitate service ecosystem well-being and outlines a research agenda for service scholars.

Design/methodology/approach

Literature on disasters, crises, service and well-being is synthesized to embed the COVID-19 pandemic in these bodies of work. The material is then distilled to introduce the novel RCE framework for service ecosystems, and points of departure for researchers are developed.

Findings

A service ecosystems view of well-being co-creation entails a dynamic interplay of actors' challenges faced and resource pools available at the different system levels.

Research limitations/implications

Service scholars are called to action to conduct timely and relevant research on pandemics and other crises, that affect service industry, service customers, and society at large. This conceptual paper focuses on service industries and service research and therefore excludes other industries and research domains.

Practical implications

Managers of service businesses as well as heads of governmental agencies and policy makers require an understanding of the interdependence of the different system levels and the challenges faced versus the resources available to each individual actor as well as to communities and organizations.

Social implications

Disasters can change the social as well as the service-related fabric of society and industry. New behaviors have to be learned and new processes put in place for society to maintain well-being and for service industry's survival.

Originality/value

This paper fuses the coronavirus pandemic with service and well-being research, introduces a resources-challenges equilibrium framework for service ecosystem well-being and outlines a research agenda.

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