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This study aims to explore how green supply chain management (GSCM) strategies can be effectively implemented for business supply chain operations, relationship management and product design to gain green competitive advantages.

An exploratory in-depth case study was conducted with one of the largest Chinese electronics manufacturers that is considered a leading GSCM adopter in the industry, to understand how the company adopts green supply chain practices across its multiple product lines.

The findings show that businesses can build different green focuses across GSCM elements of green operation, green relationship management and green product design to form diverse hybrid strategic solutions. They include green control, lean, leagile, agile and clean innovation while taking consideration of supply chain type and product lifespan. A taxonomy of four key GSCM strategic combinations is proposed based on the findings. The strategies align with green demand and supply chain characteristics balancing a series of business competitive objectives in terms of reducing pollution and waste, improving green cost efficiency, enhancing green demand innovation and building green service effectiveness.

This study lends insight into the strategic alignment relationships between product supply chain types and approaches to GSCM.

The findings of this study can support industry practitioners in formulating aligned GSCM strategies based on product types to achieve optimal results.

Optimised green supply chain design, operations and relationship management incorporating product attributes can help further minimise negative impacts of business activities on the environment.

This research provides a systematic understanding of how product supply chain types can influence GSCM strategy formulation. It gives a holistic picture of how hybrid choices of strategies with green supply chain operations, relationship management and product design can be formulated based on product and supply chain characteristics.

This paper aims to examine how supply chain integration capabilities inform green design strategy adoption and whether green design strategy can lead to higher levels of environmental and economic performance.

A survey-based approach was used to empirically test the study hypotheses. Based on 216 usable responses collected from automakers around the globe, the authors compared the results from two different data groups (i.e. Chinese firms vs Western firms) using the structural equation modeling approach.

In the Chinese context, both internal and external supply chain integration capabilities are significantly related to the successful adoption of a green design strategy. However, the relationships are not significant in Western context. Green design is found to positively impact environmental performance in both contexts; however, no significant relationship is revealed between green design and economic performance in either context. Finally, environmental performance was found to have a significant and positive impact on economic performance in both contexts.

The cross-sectional survey design that was focused only on the auto industry may affect the inferences of causality and generalizability of this study.

Managers should understand their specific organizational context first, and then strategically develop their external and internal supply chain integration capabilities to maximize their green design efforts for improved environmental performance. Companies can be certain that the more gains made in environmental management, the more economic returns can be expected.

This research contributes to the existing resource-based view literature by linking supply chain integration capabilities to green design strategy adoption in different organizational contexts. It also sheds a light on the association between green design and different performance dimensions and adds value to the current debate on the association between environmental performance and economic performance.

The purpose of this paper is to explore the extent of tall buildings development in Kuwait and to look at the issue of how sustainable and green design principles and strategies are disseminating in the society of tall buildings designers. Specifically the paper investigates how those designers are looking at this issue and what is the drive or incentive behind adopting some of the green design technologies and strategies in their projects. It also looks at the process of designing tall buildings and the obstacles and potential opportunities for making this process green and sustainable. The paper sets forth a hypothesis that green design parameters, such as LEED, may not be directly applicable to the Kuwaiti context. The assumption is a more appropriate system of LEED must be devised for Kuwait, similar to the UAE Green Building Council, for example. While this appropriate system is based on universal rules and guidelines for green design, it must take into consideration, and respect, local systems and conditions. These could be human, cultural, economical and technical. In this paper, the focus is on the designers of tall buildings, since they represent the experts on the matter. The paper uses both quantitative and qualitative data to prove or disprove this hypothesis. The data collection tool used is interview survey with a representative sample of tall buildings designers in Kuwait.

The efficient application of building information modeling (BIM) methodology in the sustainable building design process, known as green BIM, provides ideal leverage to significantly enhance multidiscipline team collaboration. However, the practical execution of green BIM is characterized by issues such as duplication of work, information silos and poor cross-party coordination. Besides, there are limited studies on the specific components that are critical to driving green BIM collaborative design. This study aims to establish the critical components of green BIM collaborative design to enable the multidiscipline team to effectively use diverse software to collaboratively exchange accurate information, thus ensuring informed decision-making in the sustainable building design process.

Data were obtained by using a questionnaire to survey 360 respondents comprising mainly architects and engineers (civil, mechanical and electrical) in Malaysia. Subsequently, data were analyzed via confirmatory factor analysis. Afterward, a measurement model was established and used to test the 11 hypotheses of this study.

A covariance-based structural equation model of the critical components for successful BIM-based sustainable building design collaboration was established.

The research findings will guide the multidisciplinary team to collaboratively exchange accurate information in green BIM practices.

To the best of the authors’ knowledge, this research is the first attempt in the literature to provide a pragmatic approach for practitioners to combine the established critical components of green BIM to collaboratively exchange heterogeneous sustainability criteria and efficiently design buildings with high sustainability performance, particularly in emerging countries like Malaysia.

Since inputs, manufacturing processes, distribution, use and disposal methods are decided during the design stage, any company venturing out with a green marketing program must start with green design. Presents source reduction and waste management strategies to cut down wastes, and also presents a method to compare green design alternatives which can provide designers with guidance to select superior designs. As a product must meet several criteria, suggests a concurrent rather than sequential product development approach. Concludes with tips for top management to improve green design in their organizations.

Aiming to find out how to incorporate green building into the architectural curriculum, this study aims to explore the psychological path for cultivating architectural students’ awareness and motivation to learn the green design concepts and related technologies.

Based on a global review of relevant architectural courses in universities, a set of green building learning behaviors was proposed and a survey was conducted in architectural schools in South China to verify the “value-belief-norm” theory through the lens of green building learning behaviors. The psychological path that affects students’ green building learning behaviors was analyzed using structural equation modeling.

The results showed that biospheric and altruistic values could directly affect students’ motivation to learn green building, while personal norms served as the mediating condition for personal values and beliefs, and ultimately improved motivation.

The study suggests that the cultivation of environmental awareness and a sense of the ecological crisis should be developed through foundation courses, by establishing an ecological architecture curriculum, to more effectively guide students to learn and practice green building.

This study, for the first time, applied the “value-belief-norm” theory, which was developed to explain the psychological path for pro-environmental behaviors, to green building learning behaviors of architectural students.

In this paper, the four popular multiple-criteria decision-making (MCDM) methods in fuzzy environment are utilized to reflect the vagueness and uncertainty on the judgments of decision-makers (DMs), because the crisp pairwise comparison in these conventional MCDM methods seems to be insufficient and imprecise to capture the right judgments of DMs. Of these methods, as Fuzzy analytic hierarchy process (F-AHP) is used to calculate criteria weights, the other methods; Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), Fuzzy Grey relational analysis (F-GRA) and Fuzzy Preference Ranking Organization METhod for Enrichment of Evaluations (F- PROMETHEE II) are used to rank alternatives in the three different ways for a comparative study.

The demand for green products has dramatically increased because the importance and public awareness of the preservation of natural environment was taken into consideration much more in the last two decades. As a result of this, especially manufacturing companies have been forced to design more green products, resulting in a problem of how they incorporate environmental issues into their design and evaluate concept options. The need for the practical decision-making tools to address this problem is rapidly evolving since the problem turns into an MCDM problem in the presence of a set of green concept alternatives and criteria.

The incorporation of fuzzy set theory into these methods is discussed on a real-life case study, and a comparative analysis is done by using its numerical results in which the three fuzzy-based methods reveal the same outcomes (or rankings), while F-GRA requires less computational steps. Moreover, more detailed analyses on the numerical results of the case study are completed on the normalization methods, distance metrics, aggregation functions, defuzzification methods and other issues.

The designing and manufacturing environmental-friendly products in a product design process has been a vital issue for many companies which take care of reflecting environmental issues into their product design and meeting standards of recent green guidelines. These companies have utilized these guidelines by following special procedures at the design phase. Along the design process consisting of various steps, the environmental issues have been considered an important factor in the end-of-life of products since it can reduce the impact on the nature. In the stage of developing a new product with the aim of environmental-friendly design, the green thinking should be incorporated as early as possible in the process.

The case study was inspired from the previous work of the author, which was realized in a hot runner systems manufacturer, used in injection molding systems in a Canada. In a new product development process, the back- and front-ends of development efforts mainly determine the following criteria: cost, risk, quality and green used in this paper. The case study showed that the three fuzzy MCDM methods come to the same ranking outcomes. F-GRA has a better time complexity compared to the other two methods and uses a smaller number of computational steps. Moreover, a comparative analysis of the three F-MCDM methods; F-PROMETHEE II, F-TOPSIS and F-GRA used in ranking for green concept alternatives using the numerical results of the case study. For the case study; as seen in table 20, the three F-MCDM methods produced the numerical results on the rankings of the green concept alternatives as follows; {Concept A-Concept C–Concept B–Concept D}.

Inclusion of environmental-related criteria into concept selection problem has been gaining increasing importance in the last decade. Therefore, to facilitate necessary calculations in applying each method especially with its fuzzy extension, it can be developed a knowledge-based (KB) or an expert system (ES) to help the DMs make the required calculations of each method, and interpret its results with detailed analysis.

The objective of the research was to propose a F-AHP based F-MCDM approach to green concept selection problem through F-PROMETHEE II, F-TOPSIS and F-GRA methods. As the F-AHP is used to weight evaluation criteria, the other methods are respectively used for ranking the concept alternatives and determine the best concept alternative.

The success of the efforts for green building depends largely on integrating such approaches with building design education. However, most of the existing studies on green building have focused on the technical issues, while its socio-cultural and educational aspects have been less examined. In order to alleviate the problem, this paper presents an international workshop that explores how green building design can be taught in a global teamwork project using a green building assessment system, Leadership in Energy and Environmental Design (LEED) checklist as a framework and examples of vernacular architecture as precedents. The results of an empirical survey reveals a gap between students' general learning about green building in a developing and a developed country and suggests that a collaborative project experience may facilitate bridging the gap and exchanging technical and cultural information related to sustainability.

Scholars and practitioners have recognized the significance of integrating environmental practices into project context. This paper focuses on project environmental practices (PEP) and identifies PEP from the life cycle perspective, which includes green design, green procurement, green construction and investment recovery. The purpose of this paper is to empirically investigate the relationship among the four aspects of PEP and their effects on environmental performance and organizational performance.

A theoretical model was established and several hypotheses were developed. This study applied a survey method to test the hypothesized relationships. Based on a sample of 159 respondents, partial least squares structural equation modeling analyses were conducted.

The results show that green design has a positive impact on green procurement, green construction and investment recovery. Green procurement is also confirmed to positively influence green construction. Further, green construction and investment recovery have a direct and positive impact on environmental and organizational performance, whereas green design and green procurement influence environmental and organizational performance indirectly through green construction. Environmental performance has a significant impact on organizational performance.

This study enhances the understanding on PEP by revealing the inter-relationships among its four aspects and establishes the links between PEP and performance outcomes. The findings will contribute to the literature on the integration of environmental principles and project context.

The purpose of this paper is to explore the specific role of supply chain capabilities (SCCs) in the implementation of particular green strategies and the extent to which this relationship is contingent upon firm size.

A survey-based approach was used to empirically test the study hypotheses. Data that were collected from 225 senior logistics/supply chain managers across the automotive OEM and supplier base (predominantly from China, North America and Europe) were analyzed using moderated regression analyses.

SCCs contribute to effective green strategy implementation and their magnitude varies significantly with respect to green design, green purchasing and green manufacturing. Firm size has positive moderating effects on supply chain flexibility in both green design and green purchasing, and on supplier appraisal capability in both green purchasing and green manufacturing. However, unexpectedly, firm size negatively moderates not only supply chain management (SCM) skills/knowledge in both green design and green purchasing but also IT/IS support in green manufacturing.

This paper adopted a cross-sectional survey design and was only conducted in the automotive industry which may affect the inferences of causality and generalizability beyond this sector.

Managers should consider whether the green strategies that they want to follow “fit” with their existing resources/capabilities and firm-level conditions, and accordingly develop and deploy appropriate SSCs for successful implementation.

The research contributes to the existing resource-based view literature by studying the capability–strategy link with its specific application to environmental management.