Investigating the Impact Factors of the Logistics Service Supply Chain for Sustainable Performance: Focused on Integrators

Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments

The increasing pressures from environmental crises are responsible for the green and sustainable choices made in supply chain management. Green logistics service supply chain (LSSC) operations play a significant role in reducing the environmental burden of the supply chain, and the risk preferences of logistics enterprises lead to more uncertainties in the green management of LSSC. Much research has been limited to case studies of green LSSC, and the different combinations of risk preferences among LSSC participants have generally been ignored. This paper investigates the impact of the risk preference on the equilibrium behavior of an LSSC composed of one logistics service integrator (LSI) and one logistics service provider (LSP) under fuzzy decision environments. Considering the fact that the greening innovation cost and the parameters of the demand function are all characterized as fuzzy variables, the games between the LSI and LSP with different risk preferences were comprehensively proposed under three scenarios. Then, the optimal decisions of the LSP and LSI were drawn, and numerical examples are presented. The results show that an optimistic risk attitude can appropriately improve the greening level, price, and green innovation cost of logistics services, while both risk appetite and risk aversion can lead to an increase in the outsourcing price. Moreover, when the decision maker is risk neutral, the partner’s risk attitude has a significant effect on the value of the decision variables and the cost. Finally, the optimal profits of different risk preference behaviors between the LSI and LSP vary among the game models under fuzzy environments. Subsequently, we obtained three management insights. Total involvement and cooperation among participants were vital factors for an improvement in green management in the LSSC. Additionally, risk preference plays a key role in how LSSC participants make decisions under fuzzy environments. Additionally, a dominant position in the LSSC plays a crucial role in generating profit.

Impact of Enhanced Enterprise Resource Planning (ERP) on Firm Performance through Green Supply Chain Management

This study investigates the impact of enhanced enterprise resource planning (ERP) on firm performance through green supply chain management, supplier integration, and internal integration. The population is the manufacturer domiciled in East Java, Indonesia, which has implemented ERP and been certified by the International Organization for Standardization (ISO) in the environmental management system. Data collection used a questionnaire designed with the five-point Likert scale. Of 243 manufacturers, 150 questionnaires were distributed, and 135 questionnaires are considered valid for analysis. Data analysis used smart PLS software. The result indicated that all eight predetermined hypotheses were supported. Enhanced ERP affects supplier integration, internal integration, and green supply chain management. Internal integration affects green supply chain management and firm performance. Supplier integration affects green supply chain management and firm performance. Green supply chain management affects firm performance. An interesting finding is that green supply chain management, internal integration, and supplier integration mediate the effect of enhanced ERP on firm performance. This study’s novelty lies in the research model that analyzes the relationship between the four constructs simultaneously with the green supply chain management, internal integration, and supplier integration as a mediating variable. The research provides an insight for the manager on how to improve the firm performance in supply chain management. This study could also contribute to the current research in supply chain management.

Do employees' attributes and capabilities matter the intention to become a supply chain manager? Structural model analysis

Purpose

This study aims to investigate how the employees' attributes, capabilities, behavioral control and behavioral intentions affect their intention to become a supply chain manager (SCM). The study also investigates how employees' capabilities mediate the relationship between attributes and intention to become SCM.

Design/methodology/approach

The purposive sampling frame is employed to collect the data, and multiple statistical tools and techniques are used for analyzing the data.

Findings

The findings reveal that attributes are the most crucial factor for the capabilities of employees to become successful SCM. Employees' behavioral intention and capabilities have a significant impact on intention, whereas perceived behavioral control has a significant negative impact on it. Also, the result finds that capabilities partially mediate the relationship between attributes and intention to become an SCM.

Research limitations/implications

The study extends the application of employees' intention to become a supply chain manager. The idea collected is based on Malaysia; thus, further study should be extended to assess the impact of employees' attributes, capabilities and behavioral control to become SCM as well as economic performance in other countries.

Originality/value

To the best of the authors' knowledge, this is the first empirical analysis on the relationship between employees' attributes, capabilities, behavioral control and intention to become SCM in the context of Malaysia. The findings will help the top management to select the right people as SCM and improve their attributes, capabilities and behavior so that they become an effective SCM.

Analysis of Evaluation Methods of Sustainable Supply Chain Management in Production Engineering Journals with High Impact

Nowadays, scholars need to know the trends for specific themes and how the main methods are applied to solve the gaps. The research problem for this work is the assessment of methods used in the sustainable supply chain, published in journals with a high impact factor and especially in the production engineering field. The methodology utilized was an adapted version of the “Methodi Ordinatio”, in structured stages to select a limited class of papers of high scientific relevance, to show how the methods are being used. The search steps included the filtering of journals in the research field with relevant impact factors and selecting databases and keywords; reading titles and abstracts; classifying the number of citations; and critical reading of all papers listed in the bibliographic portfolio. The research results and analysis of frequency of papers in the portfolio were used to identify and describe the most commonly used evaluation methods, the correlated theories, advantages, and disadvantages of each researched work.

Factors Influencing Residents’ Intention toward Green Retrofitting of Existing Residential Buildings

The green retrofitting of existing residential buildings is an important approach to realise the sustainable development of stock buildings. In addition to the new technologies and materials related to green retrofitting, the intention of residents toward the green retrofitting of existing residential buildings must be understood. However, the factors affecting such intentions are still unclear. Hence, this study refers to the extended theory of planed behaviour and constructs a theoretical model of the intention toward the green retrofitting of existing residential buildings. On the basis of the data from 507 questionnaires collected from eastern and western China, the theoretical model is tested via structural equation modelling (SEM). Multigroup SEM is used to analyse the differences in population characteristics and the intention of residents toward the green retrofitting of existing residential buildings in residential areas. Research results reveal the following: (1) the most important factors affecting residents’ intention toward green retrofitting are policy factors, followed by cognition of green retrofitting, behaviour, subjective norms, and perceived behavioural control; (2) policy factors not only directly affect residents’ intention toward green retrofitting but also indirectly affect their intention toward existing residential green retrofitting through perceived behavioural control; (3) residents’ cognition of green retrofitting exerts no significant direct impact on their intention toward green retrofitting, but it does indirectly affect their intention toward green retrofitting through behaviour and subjective norms; (4) behaviour, subjective norms, and perceived behavioural control have direct and significant influences on intention toward green retrofitting; (5) demographic characteristics (gender, age, monthly family income, education level, and occupation) and regional variables (east and west) present significant differences in different influence paths. The conclusion of the study provides a targeted path reference for the promotion of the green retrofitting of existing residential buildings.

Understanding the Intention and Behavior of Renting Houses among the Young Generation: Evidence from Jinan, China

In the last decade, the rapid growth of China’s economy and population has generated a large demand for housing. Increasingly high prices have become the main obstacle for homeownership, especially for the young generation. In this study, we investigate the determinants of rental housing among the young generation in Chinese cities. A theoretical model and hypotheses were proposed by extending the theory of planned behavior (TPB). An empirical analysis was conducted via the structural equation model validation to reveal the following conclusions. (1) Attitude towards behavior (perceived usefulness and perceived usability) are the most important factors influencing renting behavior. (2) Mandatory policies and regulatory pressures promote renting behavior. (3) The government’s economic incentives have a significant impact on perceptual behavior control and indirectly affect behavioral intentions through perceptual behavior control. Based on the above conclusions, this study proposed recommendations for the government and businesses. This study contributed to existing theory and practice by providing useful insights into the influences on the young generation’s renting intentions. Furthermore, these findings provide the government with implications for facilitating the sustainability of the housing market.