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In present research, the authors conducted the massive literature review and collected the information, in regards to material handling system (MHS) to build a multi criteria MHS hierarchical module consists of ecological cum fiscal criteria. Moreover, similar literature review assisted the authors to resolve and eventually construct the effectual and robust approach. The purpose of this paper is to facilitate the managers for benchmarking the MHS alternatives operating under similar module via robust decision support system (DSS).

In present research, the proposed module dealt with ecological (subjective) and fiscal (objective) criteria, where subjective criteria associated with incompleteness, vagueness, imprecision, as well as inconsistency, solicited the discrete information in terms of Grey set via linguistic scale from experts panel. The objective information (capital) has been assigned by expert’s panel in terms of Grey set. To robustly evaluate and select the admirable MHS, three approaches named: degree of possibility, technique for order preference similar to ideal solution as well as Grey relational analysis fruitfully applied to connect and unite discrete information.

The performance evaluation of MHSs has been carried out under concert of individual fiscal criteria excluding ecological criteria in past researches. Moreover the previous developed DSS tackled sole approach under individual fiscal criteria. The authors found the broad applications of fuzzy sets except Grey set theory in the same context for measuring the performance of MHS alternatives. Aforesaid research gaps have been transformed into research objectives by incorporating the module for both fiscal cum ecological criteria. This research embraces a robust DSS, which has been explored to select the admirable MHS alternative.

An empirical case study has been carried out in order to demonstrate the legitimacy of holistic Grey-MCDM method, implemented over multi criteria MHS hierarchical module. Proposed DSS seems to be the best for organisations, which believe to appraise and select the MHS including fiscal as well as ecological criteria excluding individual fiscal criteria. Moreover, subjective cum objective or individual subjective or objective criteria can be extended with respect to varieties of MHSs.

The CEEQUAL certification system promotes sustainable development (SD) principles in infrastructure construction, with 12 categories of criteria and indicators. ENVISION assigns 60 points to five categories, while Green Guide is divided into seven classifications. SD certification requires 11 requirements, including an ecological assessment procedure, life-cycle costing assessment, quality control plan, noise mitigation plan, waste management plan, pollution prevention plan, low impact development, pavement management system, site maintenance plan, and educational outreach. SD certification technique provides 8 critical criteria, 153 standards, 17 stringent prerequisites, and 8 categories of points. Culp (2011) developed a grading system to incorporate SD principles into infrastructure projects; Shen et al. (2011) explored significant assessment parameters for the SD of infrastructure projects using the fuzzy set method; Lui and Cui (2012) studied SD frameworks for building projects, Montgomery et al. (2014) and Lim (2009) identified 77 major SD indicators based on a comprehensive review of the relevant literature, and the Transport Division of New South Wales established a Transportation Project Sustainability Framework to ensure the long-term viability of their transportation network and the continuous improvement of their environmental and sustainability performance. Assah Amiril (2014) revealed a global network of 27 SD criteria produced by professionals, for-profit and non-profit organizations, divided into five groups: ecological, financial, sociological, engineering, asset use, and project management. The most important details in this study are that 57 indicators were categorized into eight types, weighted according to their respective impacts, and the influence of each component on SD was evaluated using a 100-dimensional scale. This study investigated the eight criteria and the impact of three additional criteria (public participation, climate change response, and stakeholder management). This chapter examined the criteria and indicators of SD criteria and indicators for road infrastructure development in developing countries. The most important findings are that the CEEQUAL, Ugwu, Haupt, and Lim models are the most comprehensive theoretical models of SD requirements for infrastructure design, and that all frameworks and models promote the sharing, promotion, and acknowledgement of SD concepts.

Socially responsible property investments (SRPI) are seen as the emerging trend in socially responsible investing. The purpose of this paper is to raise the question of whether this trend is also valid for Germany. The results presented in this article are based on an explorative study among German institutional investors in the year 2007.

The authors see the reasons behind the trend of sustainable building in the climate change and the resulting awareness of the investors on this topic. Likewise, the authors also see that more investors, predominantly institutional investors, are focusing on the emerging market for socially responsible investments (SRI). Considering these and the diversified portfolios of the institutional investors which usually include property investments, the authors are investigating the demand of these investors for SRPI in Germany. The investigation is based on an empirical study carried out in 2007 which should be understood as a prolonged insight into the investment preferences of German institutional investors towards SRI, in general, and SRPI, in particular.

The authors found that the market for SRPI is not growing as a result of an increased interest in SRPI as an emerging asset class, but rather as a consequence of a moderate growth in the property market. Some institutional investors find severe intransparencies in this emerging segment, while others do not perceive this new asset class as an attractive investment opportunity.

The empirical study sheds light on the willingness of German institutional investors to invest in SRI with special reference to SRPI.

The empirical study shows the willingness of institutional investors which already invested in SRI to invest in SRPI, as well as the reluctance of investors with no experience in SRI to invest in SRPI.

The purpose of this paper is to identify and model the evaluation criteria for the selection of third-party logistics service provider (3PLSP) by an interpretive structural modelling (ISM) approach in the pharmaceutical sector.

Delphi technique was used for identifying the most significant criteria, and the ISM method was employed for developing the interrelationship among the criteria. Also, the critical criteria for having high influential power were identified by using the Matrice d’Impacts Croisés Multiplication Appliqués à un Classement analysis.

The most significant factors, namely, capability of robust supply network/distribution network, quality certification and health safety, service quality and environmental quality certifications, were found to have a high driving power, and these factors demand the maximum attention of the decision makers.

As the ISM approach is a qualitative tool, the expert opinions were used for developing the structural model, and the judgments of the experts could be biased influencing the reliability of the model. The developed hierarchical concept is proposed to help the executives, decision and policy makers in formulating the strategies and the evaluation of sustainable 3PLSP.

It is an original research highlighting the association between the sustainable 3PLSP evaluation criteria by employing ISM tool in the pharmaceutical industry. This paper will guide the managers in understanding the importance of the evaluation criteria for the efficient selection of 3PLSP.

The development of modern building planning has become inseparable from the concept of green energy saving, which has gradually become an important method for energy-saving design of building planning and has become the research direction of planners. Based on this, the status quo of research on green building at home and abroad was investigated and the principle of energy saving for green building planning was put forward; then the building shape coefficient, eco-strategy design of green building energy, building energy-saving layout and other aspects were analyzed in detail; finally, the Amsterdam large CBD complex Valley green building was analyzed. The results show that the building has fully considered the energy-saving design in the process of planning and design, which not only ensures the commercial demand, but also reflects the residential use and finally achieves the goal of green energy saving.

The increasing interest in economic, social, and ecological sustainability has important implications for the traditional views on organization effectiveness, organization design, and organization development. Managers need to design organizations to achieve a “triple bottom line.” A review of the organization effectiveness literature suggests that no single model seems to provide the necessary guidance, and there is a clear need for creation, revision, and integration. Organization effectiveness criteria in the future require a clearer modeling of the multistakeholder demands so that organization designers can specify appropriate strategies, structures, systems, and processes as well as the changes necessary to develop them. We propose an integration called “responsible progress” and suggest that it represents an important new stream of organization development theory. The relationships between this new criterion of organization effectiveness and the design features necessary to pursue them must be tested.

The purpose of this paper is to identify links between the components involved in ecodesign orientations (EDOs) and the integration of ecological criteria into Scandinavian wooden furniture industries. The purpose of identifying these links is to recognize possibilities and gaps in wooden furniture product development and branding opportunities to deepen customer engagement with the Scandinavian country-of-origin (COO) brand.

The application of ecodesign in Scandinavian wooden furniture industries was studied using survey data gathered from Nordic wood furniture designers. Factor analysis was used to identify the general types of Scandinavian design styles (SDSs) and EDOs implemented in the Scandinavian wooden furniture industry. The SDS and EDO impacts on the integration of ecological design criteria were modelled using logistic regression analysis.

The integration of ecological criteria by Nordic designers influences both the perspectives on material and process optimization and the end use of wooden furniture as well as the recycling of these products. In contrast, our results showed no statistical evidence of connections between different SDS types and the integration of ecological criteria in design. Recognition of special needs of customers valuing both high Scandinavian design and EDO could provide strategic opportunities for wooden furniture industries to recognize new global market potential and enhance their competitiveness.

Developing business opportunities for wooden furniture marketed under the Scandinavian COO brand, and forming a better understanding of customer expectations on the ecological information related to different wooden furniture SDS types, is needed. This would support developing new ecodesign strategies across the whole industry and enhancing value proposition of Scandinavian wooden furniture within different customer groups.

Research findings on the intersection of industrial brand design and ecodesign are still scarce, especially with a special focus on strategic management and sustainability marketing of companies. The results of our study provide entirely new insights on the topic especially in the context of Scandinavian wooden furniture industry.