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Article
Publication date: 12 January 2024

Pengyun Zhao, Shoufeng Ji and Yuanyuan Ji

This paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments.

Abstract

Purpose

This paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments.

Design/methodology/approach

To address hybrid uncertainty both in the objective function and constraints, a novel interactive hybrid multi-objective optimization solution approach combining Me-based fuzzy possibilistic programming and interval programming approaches is tailored.

Findings

Various numerical experiments are introduced to validate the feasibility of the established model and the proposed solution method.

Originality/value

Due to its interconnectedness, the PI has the opportunity to support firms in addressing sustainability challenges and reducing initial impact. The sustainable supplier selection and inventory management have become critical operational challenges in PI-enabled supply chain problems. This is the first attempt on this issue, which uses the presented novel interactive possibilistic programming method.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 2 November 2021

Pengyun Zhao, Shoufeng Ji and Yaoting Xue

The purpose of this paper is to propose an innovative integration method based on decision-theoretic rough set and the extended VlseKriterijuska Optimizacija I Komoromisno Resenje…

Abstract

Purpose

The purpose of this paper is to propose an innovative integration method based on decision-theoretic rough set and the extended VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) methods to address the resilient-sustainable supplier selection and order allocation (SS/OA) problem.

Design/methodology/approach

Specifically, a two-stage approach is designed in this paper. First, the decision-theoretic rough set is employed to calculate the rough number for coping with the subjective uncertainty of data and assigning the weights for a resilient-sustainable evaluation criterion. On this basis, the supplier resilient-sustainable performance is ranked in combination with the extended VIKOR method. Second, a novel multi-objective optimization model is proposed that applies an improved genetic algorithm to select the resilient-sustainable supplier and allocate the corresponding order quantity under a multi-tier supplier network.

Findings

The results reveal that joint consideration of resilience and sustainability is essential in the SS/OA process. The method proposed in this study based on decision-theoretic rough sets and the extended VIKOR method can handle imprecise information flexibly, reduce information loss and obtain acceptable solutions for decision-makers. Numerical cases validate that this integrated approach can combine resilience and sustainability for effective and efficient SS/OA.

Practical implications

This paper provides industry managers with a new perspective on SS/OA from a resilience and sustainability perspective as a basis for best practices for industry resilience and sustainability. The proposed method helps to evaluate the resilient-sustainable performance of potential suppliers, which is applicable to solving real-world SS/OA problems and has important practical implications for the resilient-sustainable development of supply chains.

Originality/value

The two interrelated priorities of resilience and sustainability have emerged as key strategic challenges in SS/OA issues. This paper is the first study of this issue that uses the proposed integrated approach.

Article
Publication date: 8 February 2022

Danping Shao and Yun Peng

Based on the role theory and prosocial motivation literature, this research aims to explore the bright and dark side of socially responsible human resource management (SRHRM) on…

Abstract

Purpose

Based on the role theory and prosocial motivation literature, this research aims to explore the bright and dark side of socially responsible human resource management (SRHRM) on hotel employees' outcomes through the mediation of role conflict. Besides, this study examines the moderating effect of prosocial motivation between role conflict and volunteering and organizational citizenship behavior (OCB).

Design/methodology/approach

The authors collected 326 employee-supervisor dyads data in two waves from 12 hotels in the province of Wuhan, China. Besides, structural equation modeling (SEM) analysis was adopted to test the hypothesized model.

Findings

As expected, the result shows that SRHRM can increase employees' volunteering and decrease their OCB through the mediation of the role conflict. Further, prosocial motivation strengthens the linkage between role conflict and volunteering, but not the relationship between role conflict and OCB.

Practical implications

This result enables hotel managers to adopt SRHRM as a useful tool of carrying out suitable corporate social responsibility (CSR) activities. Additionally, this study highlights the vital role of employee in successful CSR implementation.

Originality/value

Although the hotel industry contributes a lot to global economic development, CSR research specifically focused on hotel industry has been unexplored. Therefore, this research brings SRHRM into hotel industry and establishes a model specifying both the bright side and dark side effect of SRHRM in the hotel industry.

Details

Journal of Hospitality and Tourism Insights, vol. 6 no. 4
Type: Research Article
ISSN: 2514-9792

Keywords

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