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Article
Publication date: 14 November 2016

Geoff Willis, Stefan E. Genchev and Haozhe Chen

Supply chain flexibility has been acknowledged as a necessity in the context of constantly changing operational and service requirements in the global marketplace…

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1107

Abstract

Purpose

Supply chain flexibility has been acknowledged as a necessity in the context of constantly changing operational and service requirements in the global marketplace. However, limited research has focused on analyzing and empirically testing the dynamics of achieving enhanced flexibility performance. Drawing upon the knowledge-based view of the firm, the purpose of this paper is to address this research gap by introducing supply chain learning (SCL) and integration as key factors in the process.

Design/methodology/approach

Survey data were collected in India. Structural equation modeling technique was used as the main analysis method to test the proposed conceptual model on SCL, integration, and flexibility performance.

Findings

Research findings indicate that the supply chain integration construct (in its internal and external dimensions) mediates the proposed SCL-flexibility performance relationship. The analysis also confirms the positive relationship between cross-functional integration and inter-firm integration.

Research limitations/implications

Focusing on only one country may limit the generalizability of the findings. Also, cross-sectional data collection may not be the ideal approach for evaluating the impacts of SCL. Therefore, future research with longitudinal data and in different contexts is warranted to validate the research results of this study.

Originality/value

The proposed conceptual model adds to the limited existing knowledge body of SCL and links SCL, integration, and flexibility performance. It also provides a new venue for future research in this area.

Details

The International Journal of Logistics Management, vol. 27 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

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Article
Publication date: 8 May 2017

Haozhe Chen, Kenneth Anselmi, Mauro Falasca and Yu Tian

The field of returns management has become an important supply chain management topic. The purpose of this paper is to develop a conceptualization of returns management…

Abstract

Purpose

The field of returns management has become an important supply chain management topic. The purpose of this paper is to develop a conceptualization of returns management orientation (RMO), a topic that has been largely ignored by the academic community.

Design/methodology/approach

A series of interviews with experts and a review of the literature were used to develop the construct. Empirical survey data were used to validate the proposed RMO measurement scale.

Findings

Statistical results support the validity and reliability of the new RMO construct. Different analyses show that the proposed conceptualization satisfies the criteria of the tests for unidimensionality, construct validity, internal consistency reliability, and nomological validity. Furthermore, the results of this study confirm the positive relationship between a firm’s RMO and returns management performance.

Research limitations/implications

The present study provides a starting-point for further empirical research on returns management from a behavioral perspective.

Practical implications

RMO has a significant impact on returns management performance. The proposed RMO measurement scale provides a useful tool for companies to evaluate their management’s emphasis or recognition of the returns management function.

Originality/value

While the field of returns management has gained increased attention from both academics and practitioners, empirical research efforts on this topic are still limited. In order to address this issue, this study takes a behavioral perspective and follows a well-established approach to operationalize the construct of RMO.

Details

The International Journal of Logistics Management, vol. 28 no. 2
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 4 September 2017

Jian-Jun Wang, Haozhe Chen, Dale S. Rogers, Lisa M. Ellram and Scott J. Grawe

Interest in reverse logistics (RL) as a critical component of supply chain management (SCM) is gaining more traction with both practitioners and academics. Because of RL’s…

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1916

Abstract

Purpose

Interest in reverse logistics (RL) as a critical component of supply chain management (SCM) is gaining more traction with both practitioners and academics. Because of RL’s growing strategic importance, it is imperative to conduct a timely and comprehensive literature review and to identify associated opportunities for future research. The paper aims to discuss these issues.

Design/methodology/approach

In this paper, the researchers conduct an extensive bibliometric analysis of published academic articles on RL for the period of 1992-2015. Specifically, the CiteSpace software is utilized to conduct document co-citation analysis and burst detection analysis on 912 selected RL articles and their 22,642 references.

Findings

This research identifies the most influential RL research publications/citations in each of the five periods and their research contribution. Using co-citation analysis, the authors are able to identify and illustrate major research themes, knowledge groups, and future research opportunities in the RL field.

Originality/value

In contrast to existing literature review studies in the logistics field, the study uses impact factor as a key article selection criterion. The influential articles identified in this process well represent the core literature and RL body of knowledge and have important implications for future research.

Details

International Journal of Physical Distribution & Logistics Management, vol. 47 no. 8
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 2 October 2017

Baofeng Huo, Chen Liu, Haozhe Chen and Xiande Zhao

The purpose of this paper is to investigate relationships among dependence, trust, and integration in the Chinese 3PL context. 3PL integration is manifested in two key…

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1072

Abstract

Purpose

The purpose of this paper is to investigate relationships among dependence, trust, and integration in the Chinese 3PL context. 3PL integration is manifested in two key dimensions: information sharing and process coordination.

Design/methodology/approach

This study develops a dependence-trust-3PL integration-performance model and tests it using structural equation modeling with survey data collected from 361 companies in the Greater China area (i.e. mainland China, Hong Kong, and Taiwan).

Findings

The results show that switch dependence is indirectly related to information sharing and process coordination through goodwill trust, while goal dependence has direct links with both integrative behaviors. The authors also found that only goodwill trust mediates the relationship between dependence and integrative behaviors, while ability trust does not mediate any relationships. Finally, the analysis validated the direct link between process coordination and financial performance, but did not find a significant link between information sharing and financial performance.

Originality/value

Different from most previous studies on similar topics, this study examines the impacts of different types of dependence and trust on different 3PL integration dimensions. As a result, the findings are more specific and have direct relevance to effective 3PL relationship management in China.

Details

International Journal of Physical Distribution & Logistics Management, vol. 47 no. 9
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 27 November 2019

Haozhe Chen, Stefan E. Genchev, Geoff Willis and Benjamin Griffis

The purpose of this paper is to empirically investigate the antecedents and impacts of a largely overlooked concept, employee development, within the challenging area of…

Abstract

Purpose

The purpose of this paper is to empirically investigate the antecedents and impacts of a largely overlooked concept, employee development, within the challenging area of returns management.

Design/methodology/approach

The proposed relationships are validated through structural equation modeling analysis with survey data collected in India.

Findings

Combining the ability–motivation–opportunity model in human resource management and the theoretical tenets associated with dynamic capabilities, the authors confirmed that supply chain learning, returns management orientation and information support are important antecedents of returns management employee development. In turn, the findings suggest that, as a dynamic capability, returns management employee development positively impacts a firm’s returns management and market performance.

Practical implications

To successfully tackle the challenges related to handling returns, companies must focus their resources not only on new technologies and related processes, but also on employee training and development as well.

Originality/value

Although recruiting and retaining talent in supply chain management has long been recognized as a serious global challenge, no previous research has empirically studied employee development practices in the returns management context.

Details

The International Journal of Logistics Management, vol. 30 no. 4
Type: Research Article
ISSN: 0957-4093

Keywords

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Article
Publication date: 5 June 2018

Shengbin Wang, Feng Liu, Lian Lian, Yuan Hong and Haozhe Chen

The purpose of this paper is to solve a post-disaster humanitarian logistics problem in which medical assistance teams are dispatched and the relief supplies are…

Abstract

Purpose

The purpose of this paper is to solve a post-disaster humanitarian logistics problem in which medical assistance teams are dispatched and the relief supplies are distributed among demand points.

Design/methodology/approach

A mixed integer-programming model and a two-stage hybrid metaheuristic method are developed to solve the problem. Problem instances of various sizes as well as a numerical example based on the 2016 Kyushu Earthquake in Japan are used to test the proposed model and algorithm.

Findings

Computational results based on comparisons with the state-of-the-art commercial software show that the proposed approach can quickly find near-optimal solutions, which is highly desirable in emergency situations.

Research limitations/implications

Real data of the parameters of the model are difficult to obtain. Future collaborations with organizations such as Red Cross and Federal Emergency Management Agency can be extremely helpful in collecting data in humanitarian logistics research.

Practical implications

The proposed model and algorithm can help governments and non-governmental organizations (NGOs) to effectively and efficiently allocate and coordinate different types of humanitarian relief resources, especially when these resources are limited.

Originality/value

This paper is among the first ones to consider both medical team scheduling (routing) and relief aid distribution as decision variables in the humanitarian logistics field. The contributions include developing a mathematical model and a heuristic algorithm, illustrating the model and algorithm using a numerical example, and providing a decision support tool for governments and NGOs to manage the relief resources in disasters.

Details

The International Journal of Logistics Management, vol. 29 no. 4
Type: Research Article
ISSN: 0957-4093

Keywords

Content available
Article
Publication date: 23 June 2020

Haozhe Chen, Yao Jin and Baofeng Huo

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1965

Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 50 no. 3
Type: Research Article
ISSN: 0960-0035

Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 49 no. 10
Type: Research Article
ISSN: 0960-0035

Content available
Article
Publication date: 7 April 2015

Haozhe Chen

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1633

Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 45 no. 3
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 6 May 2014

Feng Liu, Jian-Jun Wang, Haozhe Chen and De-Li Yang

The purpose of this paper is to study the use of outsourcing as a mechanism to cope with supply chain uncertainty, more specifically, how to deal with sudden arrival of…

Abstract

Purpose

The purpose of this paper is to study the use of outsourcing as a mechanism to cope with supply chain uncertainty, more specifically, how to deal with sudden arrival of higher priority jobs that require immediate processing, in an in-house manufacturer's facility from the perspective of outsourcing. An operational level schedule of production and distribution of outsourced jobs to the manufacturer's facility should be determined for the subcontractor in order to achieve overall optimality.

Design/methodology/approach

The problem is of bi-criteria in that both the transportation cost measured by number of delivery vehicles and schedule performance measured by jobs’ delivery times. In order to obtain the problem's Pareto front, we propose dynamic programming (DP) heuristic solution procedure based on integrated decision making, and population-heuristic solution procedures using different encoding schemes based on sequential decision making. Computational studies are designed and carried out by randomly generating comparative variations of numerical problem instances.

Findings

By comparing several existing performance metrics for the obtained Pareto fronts, it is found that DP heuristic outperforms population-heuristic in both solutions diversity and proximity to optimal Pareto front. Also in population-heuristic, sub-range keys representation appears to be a better encoding scheme for the problem than random keys representation.

Originality/value

This study contributes to the limited yet important knowledge body on using outsourcing approach to coping with possible supply chain disruptions in production scheduling due to sudden customer orders. More specifically, we used modeling methodology to confirm the importance of collaboration with subcontractors to effective supply chain risk management.

Details

The International Journal of Logistics Management, vol. 25 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

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