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The purpose of this paper is to propose a comprehensive methodology and a problem-specific model for the configuration of the optimal strategic supplier portfolio in terms of traditional, performance-related objectives and sustainability targets.

To bridge the research gap, i.e., to align strategic supplier portfolio selection with corporate sustainability targets, a hybrid model of the analytic network process (ANP) and goal programming (GP) is developed. To validate the model, a case example is presented and managerial feedback is collected.

By enabling the integration of sustainability targets into strategic supplier portfolio configuration, the hybrid ANP-GP model contributes to research in the area of sustainable supply chain management. Results indicate that simplifying the model by omitting one or more details may lead to unfortunate actions.

The model has been applied using a case example in the automotive industry. To strengthen the findings, it should be examined under other terms as well.

Integrating economic, environmental, and social targets into strategic supplier portfolio configuration reduces supply risks and promotes the achievement of the sustainability goals of the purchasing company.

Strategic supplier selection counts among the decisions that have an impact on the environment and society for several years. Configuring economically rational, environmentally friendly, and socially responsible supplier bases supports worldwide efforts towards sustainable development.

Although sustainable supplier selection has gained importance in recent years, this is the first time that a comprehensive model for the determination of the optimal strategic supplier portfolio in terms of performance-related objectives and sustainability targets has been proposed.

To strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.

First, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.

An empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.

The innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

The purpose of this paper is to contribute significantly to the empirical investigations related to the impact of sustainable supply chain management (SSCM) practices on performance in Chinese firms. The paper also aims to theorize and empirically assess a comprehensive SSCM practices and performance model. The model incorporates two aspects of SSCM practices: internal and external management, and analyses the impact on corporate sustainability performance from all dimensions.

This paper develops a conceptual model to investigate the impact of SSCM practices on the firm performance. Based on the data of 172 Chinese firms, this paper analyzes the impact of SSCM practices on firm economic performance, environmental performance, and social performance for each dimension by using PLS structural equation methods.

The results show that firm’s internal SSCM practices have a positive impact on firm’s environmental performance and social performance. Moreover, environmental performance and social performance are positively related to economic performance.

A comprehensive SSCM practices performance model is proposed and empirically assessed for Chinese firms. The results of this investigation support the hypotheses that SSCM practices are environmentally and socially necessary and are favorable for business. A series of approach and implications of SSCM practices is recommended.

This paper aims to propose a value co-creation framework through examining the opportunities of implementing augmented reality, virtual reality and 3D printing into the visitor experience at cultural heritage places.

This study proposes the conceptual model of value co-creation using a case-study approach by presenting some cases of a cultural heritage place in the UK.

The findings of this study suggest that the effective use of multiple technologies in the context of cultural heritage places contributes to the co-creation of value for both cultural heritage organisations and also for visitors’ pre-visit, onsite and post-visit experience. Businesses can benefit from increased spending, intention to return and positive word-of-mouth, while visitors receive a personalised, educational, memorable and interactive experience.

Cultural heritage places have to find new ways to survive increasingly fierce competition. Using technology and the concept of value co-creation can prove to be a valuable concept in an attempt to attract new target markets, enhance visitors’ experience, create positive word-of-mouth and revisit intentions.

Recently, increased importance has been placed on the co-creation of value to account for consumers' interest in playing some part in the development of services and products. This study takes a holistic approach using augmented reality, virtual reality and 3D printing from a value co-creation perspective.