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1 – 10 of 31
Article
Publication date: 7 August 2017

Qiao Wang, Wei Zhou, Yonggang Cheng, Gang Ma and Xiaolin Chang

Domain integrals, known as volume potentials in 3D elasticity problems, exist in many boundary-type methods, such as the boundary element method (BEM) for inhomogeneous partial…

Abstract

Purpose

Domain integrals, known as volume potentials in 3D elasticity problems, exist in many boundary-type methods, such as the boundary element method (BEM) for inhomogeneous partial differential equations. The purpose of this paper is to develop an accurate and reliable technique to effectively evaluate the volume potentials in 3D elasticity problems.

Design/methodology/approach

An adaptive background cell-based domain integration method is proposed for treatment of volume potentials in 3D elasticity problems. The background cells are constructed from the information of the boundary elements based on an oct-tree structure, and the domain integrals are evaluated over the cells rather than volume elements. The cells that contain the boundary elements can be subdivided into smaller sub-cells adaptively according to the sizes and levels of the boundary elements. The fast multipole method (FMM) is further applied in the proposed method to reduce the time complexity of large-scale computation.

Findings

The method is a boundary-only discretization method, and it can be applied in the BEM easily. Much computational time is saved by coupling with the FMM. Numerical examples demonstrate the accuracy and efficiency of the proposed method..

Originality/value

Boundary elements are used to create adaptive background cells, and domain integrals are evaluated over the cells rather than volume elements. Large-scale computation is made possible by coupling with the FMM.

Details

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

Keywords

Article
Publication date: 19 January 2023

Xiaolin (Crystal) Shi

Congruence serves as a key framework in many leader–follower dyad theories. This paper aims to introduce polynomial regression analysis with response surface methodology (PRA with…

Abstract

Purpose

Congruence serves as a key framework in many leader–follower dyad theories. This paper aims to introduce polynomial regression analysis with response surface methodology (PRA with RSM) as a statistical technique for investigating research questions concerning leader–follower dyadic relationships in the hospitality context.

Design/methodology/approach

First, this paper illustrates the necessity of applying PRA with RSM to more effectively address the research issues related to leader–follower dyadic relationships. Next, this paper presents an overview and the key concepts of PRA with RSM. Critical issues that need to be noted and two recent hospitality leadership studies that have used PRA with RSM are discussed. Third, an empirical example in the hotel context is provided to illustrate the application of PRA with RSM.

Findings

By applying this methodology to the study of hospitality leader–follower dyadic relationships, researchers will be able to address a range of topics related to dyadic theory, such as leader–member exchange and value congruence.

Practical implications

PRA with RSM reveals that congruence effects vary within leader–follower dyads. Industry professionals can promote a better leader–follower fit by incorporating dyadic surveys to understand mutual agreement and perceptions regarding same-workplace phenomena.

Originality/value

The paper addresses the misalignment between leader–follower dyadic theory and the methodology used in hospitality leadership studies.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 8
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 1 July 2021

Xiaolin Qian and Lewis Tam

Proper empirical tests of the effect of blockholders’ monitoring incentives on corporate governance are scant in the literature because the relationship between ownership…

Abstract

Purpose

Proper empirical tests of the effect of blockholders’ monitoring incentives on corporate governance are scant in the literature because the relationship between ownership structure and enforcement of corporate governance mechanisms is bidirectional. This study aims to address the endogeneity issue by examining the effect of blockholding on executive turnover–performance sensitivity, using the split-share-structure (SSS) reform in China as an exogenous shock to blockholders’ monitoring incentives.

Design/methodology/approach

This study uses a logit model for estimating the change in executive turnover–performance sensitivity around the SSS reform. Sub-sample analysis is conducted to examine whether the impact of SSS reform on the turnover-performance sensitivity is stronger for firms with more contestable blockholders who might consider stock liquidity, risk sharing and diversification in their monitoring/trading decisions.

Findings

Top executive turnover, defined as CEO or board chair turnover, becomes less sensitive to firm operating performance after the reform, mainly for firms with contestable blockholders prior to the reform. Stock liquidity and blockholders’ demand for diversification can explain the impact of contestable blockholding. Moreover, blockholding is sensitive to firm operating performance after the reform but not before it.

Originality/value

With few exceptions, most studies in the blockholding literature focus on the effect of blockholder monitoring on firm value. Examining an exogenous shock to blockholding, this paper provides a set of new evidence for the impact of blockholding on executive turnover–performance sensitivity. The results call for more evidence of the impact of blockholding on executive turnover from other markets.

Details

Review of Accounting and Finance, vol. 20 no. 1
Type: Research Article
ISSN: 1475-7702

Keywords

Article
Publication date: 6 September 2016

Lin Xiao, Zixiu Guo, John D’Ambra and Bin Fu

Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on…

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Abstract

Purpose

Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions.

Design/methodology/approach

Data were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data.

Findings

The results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust.

Originality/value

This research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.

Open Access
Article
Publication date: 5 July 2022

Ahmed Bounfour, Jean-Michel Etienne, Xiaolin Cheng and Alberto Nonnis

The paper aims to address the organizational transformation of firms for value creation resulting from cloud computing (CC).

1341

Abstract

Purpose

The paper aims to address the organizational transformation of firms for value creation resulting from cloud computing (CC).

Design/methodology/approach

With reference to the theory of organizational fit, we modeled organizational transformation as a function of five aspects of CC practice: functionality, data management, roles and competences of information technology services, control and organizational culture. The output variable was tested against a set of input variables defined with reference to the technology–organization–environment (TOE) and technology acceptance model (TAM). Based on a sample of 487 companies in seven countries in Europe, Asia, and the United States, the authors distinguished two groups of firms: transformational and hyper transformational.

Findings

The results highlight the key factors that determine whether a firm falls into one of these two groups, and include perceived usefulness and perceived ease of use, complexity and compatibility of CC technology, and adequacy of resources. Top management support and government policy are found to only play a role for the transformational group while, surprisingly, vendor support had no impact for either group.

Originality/value

This research contributes to the literature on the role of digital transformation in value creation and on digitization of firms and organizational design, notably by considering the contribution of CC to the organizational dimension. To the best of the authors’ knowledge, this is the first study to make the link between TOE and TAM models and organizational fit theory, thereby going beyond the general approach to adoption found in information system research.

Details

Digital Transformation and Society, vol. 1 no. 1
Type: Research Article
ISSN: 2755-0761

Keywords

Article
Publication date: 29 March 2022

Changyu Wang and Xiaolin Li

The purpose of this study is to examine how knowledge integration influences entrepreneurial firms’ frugal innovation in the service industry. This study builds a moderated…

Abstract

Purpose

The purpose of this study is to examine how knowledge integration influences entrepreneurial firms’ frugal innovation in the service industry. This study builds a moderated mediation framework to investigate the effect of knowledge integration on frugal innovation via entrepreneurial bricolage and under moderations of competitive intensity and government support.

Design/methodology/approach

This study uses a two-wave survey study among 278 entrepreneurial firms from the service industry in China.

Findings

The findings reveal that knowledge integration positively influences entrepreneurial firms’ frugal innovation via entrepreneurial bricolage. Competitive intensity strengthens both the direct effect of knowledge integration on entrepreneurial bricolage and the indirect effects of knowledge integration on frugal innovation via entrepreneurial bricolage. Government support buffers the effect of entrepreneurial bricolage on frugal innovation but does not influence the indirect effect of knowledge integration on frugal innovation.

Practical implications

This study advocates for managers in entrepreneurial firms to cultivate knowledge integration to improve frugal innovation through activating entrepreneurial bricolage strategy and to pay attention to competitive intensity and government support in the transformation process from knowledge integration to frugal innovation.

Originality/value

While the link between knowledge integration and frugal innovation of entrepreneurial firms in the service industry remains unexplored in the fields of knowledge and innovation management, this study contributes to the knowledge and innovation management literature by exploring the mediating role of entrepreneurial bricolage based on a knowledge-based view and the moderation roles of competitive intensity and government support in this relationship.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 22 September 2021

Lei Yin, Xiaolin Zheng, Dongxing Tang, Yanfeng Han, Rui Zhao and Yi Chen

This study aims to develop a new method to treat the numerical singularity at the critical nodes of two skew coordinates, and optimize the leakage of micro herringbone grooved…

Abstract

Purpose

This study aims to develop a new method to treat the numerical singularity at the critical nodes of two skew coordinates, and optimize the leakage of micro herringbone grooved journal bearings (MHGJBs) with this method.

Design/methodology/approach

A side leakage numerical algorithm is proposed by using the skew meshes with a virtual node (SMVN) method to evaluate the effects of groove angle, bank/groove ratio, groove depth and groove number on load capacity, friction and side leakage of MHGJB.

Findings

The SMVN method is effective in treating the numerical singularity at the critical nodes of two skew coordinates. Besides, a group of optimized parameters of micro herringbone groove is obtained which can not only minimize the side leakage but also improve the load capacity and friction force.

Originality/value

A virtual node method was proposed, which can significantly improve the calculation accuracy in the side leakage model.

Details

Industrial Lubrication and Tribology, vol. 73 no. 7
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 10 April 2009

Xiangyi Lin, Qingpu Zhang and Xiaolin Han

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for knowledge…

1764

Abstract

Purpose

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for knowledge management system (KMS) synthetically.

Design/methodology/approach

As a complex system, knowledge management should be analyzed and established by system methodologies. There are many system methodologies. Owing to WSR is characteristic of oriental culture; the paper introduces concept and working process of WSR system methodology in knowledge management from WSR perspective.

Findings

WSR system methodology can be used to analyze contents of WSR in KMS and to establish an effective KMS.

Research limitations/implications

How to define WSR in KMS is a little difficult for users.

Practical implications

A new approach for system analysis and establishment of a successful KMS.

Originality/value

The paper shows how the WSR system approach can integrate quantitative approach and qualitative analysis to analyze and establish a KMS synthetically.

Details

Kybernetes, vol. 38 no. 3/4
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 29 April 2021

Zhiyi Li, Jiayu Zhu and Xiaolin Li

With the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are…

Abstract

Purpose

With the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are relatively few. This paper attempts to put forward constructive suggestions for the design of multi-modal information system, so that the system can have a better user experience, help users improve the efficiency of obtaining information and optimize the information service mode.

Design/methodology/approach

A research model of influencing factors is established by using the TAM (technology acceptance model) theory. The influencing factors of users' multi-modal information search behavior (MMISB) are analyzed by using questionnaire, experiment and the structural equation model. On the basis of this, some suggestions are put forward to build the multi-modal search (MMS) system and improve the efficiency of MMIS.

Findings

The research shows that users' MMISB is directly related to their search intention, and the search intention can influence users' cognition of the usefulness and ease of MMIS through their own information search ability and system characteristics. The user's MMIS ability is affected by the demand expression ability and retrieval ability cognition; the user's cognition of system characteristics is affected by the system function and information quality. This shows that the user's MMISB is closely related to the user's cognitive situation, but due to the author's limited time and research ability, only the questionnaire survey method cannot be used to in-depth research and explore the influencing factors of MMIS. Therefore, in the future research, we should combine the interview method to further track the user's emotional factors and scene factors.

Originality/value

For the first time, TAM theory is combined with cross-modal retrieval behavior and the paper explores the influencing factors and evaluation indexes of users' MMISB. The second, the questionnaire was compiled to investigate the influencing factors of the MMISB of the university group, and the reliability analysis, validity analysis, correlation analysis and structural equation model analysis of the survey data are carried out . The survey data and analysis results are original, which can provide a theoretical basis for improving the service level of MMIS.

Article
Publication date: 7 August 2017

Chuanmin Mi, Lin Xiao, Sifeng Liu and Xiaoyan Ruan

With respect to the multiple-attribute decision-making problem with subjective preference for a certain attribute whose weight-value range have been given over other attributes…

Abstract

Purpose

With respect to the multiple-attribute decision-making problem with subjective preference for a certain attribute whose weight-value range have been given over other attributes whose weight values are unknown, a method based on the mean value of the grey number is proposed to analyse the decision-making problem. This method is used to choose a supply-chain partner under the condition that the decision makers have a preference for a certain attribute of various alternatives. The paper aims to discuss these issues.

Design/methodology/approach

First, the middle value of the preferred attribute’s weight-value range is supposed to be its weight value according to the content of the mean value of the grey number. Second, to reflect the decision maker’s subjective preference information, an improved optimisation model that requests the minimum deviation between the actual and expected numerical value of each attribute is constructed to assess the attributes’ weights. Third, the correlated degree and the correlation matrix, which are determined by the weight values of all attributes, are used to rank all the alternatives.

Findings

This paper provides a method for making a decision when decision makers have a preference for a certain attribute from an array of various alternatives, and the range of the certain attribute’s weight value is given but the weight value of the other attributes is unknown. When applied to supply-chain partner selection, this method proves feasible and effective.

Practical implications

This method is feasible and effective when applied to supply-chain partner selection, and can be applied to other kinds of decision-making problems. This means it has significant theoretical importance and extensive practical value.

Originality/value

Based on the mean value of the grey number, an optimisation model is built to determine the importance degree of each attribute, then the correlated degree of each alternative is combined to rank all the alternatives. This method can suit the decision makers’ subjective preference for a certain attribute well.

Details

Grey Systems: Theory and Application, vol. 7 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

1 – 10 of 31