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An analysis of opportunities available to US fines for marketing to India are presented and both direct exports and trade collaborations are discussed. Economic growth patterns in the country that are likely to support international marketing operations on a much larger scale are outlined. Various factors that contnbute to the success of a marketing venture are isolated and a set of guidelines based on these three factors is developed to assist the marketer in making informed decisions for entry and establishment in the country.

The purpose of this paper is to explore the impact of five dimensions of green supply chain management (GSCM) practices (i.e. internal environmental management, green purchasing, cooperation with customers, eco-design, and investment recovery) on three dimensions of organizational performance (i.e. environmental, economic and operational performance).

Data were collected based on a cross-sectional survey of managers of 160 manufacturing firms in India. Structural equation modelling was used to test the influence of GSCM practices on each of the organizational performance outcomes.

Except for internal environmental management and green purchasing, all other GSCM dimensions are found to significantly impact at least one of the performance dimensions, either directly or indirectly. The results highlight that investment recovery practice is a key predictor of environmental performance, whereas eco-design is a key predictor of operational performance. The structural equation modeling result also suggests that GSCM do not directly affect economic performance, but can improve it indirectly.

Since data was collected from managers of manufacturing firms on the basis of their subjective evaluations, future research studies should employ objective performance indicators for analysis. Also, the study did not consider some dimensions of GSCM practices, which can be included in future studies.

Manufacturing firms should implement GSCM practices not just because of the pressure from regulatory bodies but also to elevate their environmental, operational and economic performance. The proposed model in this paper suggests practitioners which GSCM factors are driving these performance changes and supports the building of a roadmap for GSCM implementation in their organization.

Manufacturing firms from four different operating sectors, namely automotive, electrical and electronics, process and machinery sectors are the respondents. The originality of the paper lies in testing the influence of GSCM practices on organizational performance in a novel context, where most GSCM initiatives fail for one reason or another. Furthermore, the assessment of the interaction between five constructs of GSCM practices and three constructs of organizational performance in the Indian manufacturing context offers unique conceptual contribution to the researches in the GSCM field.

The purpose of this paper is to investigate the impact of organizational size on adoption of green supply chain management (GSCM) practices for the Indian industry. It also evaluates the impact of GSCM practices on organizational performance.

This study aims to empirically test the GSCM model to investigate the present orientation of the Indian industry toward GSCM practices using a pre-tested structured questionnaire. The statistical inferences were drawn using the data provided by 161 Indian firms. This has compared the GSCM practice implementations among small-sized, medium-sized and large-sized organizations.

The study reveals that Indian organizations have shown a satisfactory implementation of majority of the environmental practices, except supplier ISO:14001 certification and Tier-II supplier evaluation. Out of 21 practices, medium-sized organizations have adopted GSCM practices at a similar level compared with large organizations, with three exceptions: existing environmental management systems, support from mid-level and top management and supplier evaluation for environmental practice. It was found that GSCM adoption can lead to equal improvements in operational performance for both large-size and medium-size organizations.

This paper makes two major contributions in the domain of green supply chain practices in India. First, it investigates the adoption of GSCM practices in organizations of different sizes (small, medium and large) and the impact of GSCM practices on the performance of organizations of different sizes. Second, it identifies the key areas for improvement and recommends a set of measures for improving the implementation of GSCM practices in Indian organizations.

The purpose of this paper is to investigate the relationship between sustainable supply chain collaboration (SSCC) and sustainability performance, and examine whether two types of incentives moderate this relationship. This empirical investigation of the Thai food manufacturing industry provides insight in the context of an emerging economy.

Survey data were collected from 215 food manufacturing firms in Thailand, and the hypotheses were tested by exploratory factor analysis, hierarchical regression analysis, and cluster analysis.

The results indicate that SSCC leads to better economic and social performance, but not necessarily better environmental performance; incentives provided by firms in the supply chain enhance the effects of SSCC on social performance.

The findings provide useful suggestions for supply chain managers and policy makers about effective collaboration and the use of incentives to improve the sustainability of individual firms in the supply chain. They also reveal the challenges faced by manufacturing firms in improving environmental performance in an emerging economy.

This study contributes to the literature on the implementation of sustainable supply chain management by explaining the role of incentives.

The built environment contributes to environmental concerns, including carbon emissions, with traditional construction materials being problematic. Adopting sustainable construction materials (SCMs) is envisaged; however, barriers exist. Hence, this study sought to determine significant barriers to adopting SCMs in Zimbabwe.

An online questionnaire survey of construction professionals in consultancy firms and semi-structured interviews with key informants in Zimbabwe and Africa were instituted. Mean score analysis, normalisation values and exploratory factor analysis were quantitatively used to determine significant barriers. Content analysis of qualitative data from key informants was used to triangulate the findings.

From the normalisation (with values > 0.90) and thematic analysis, a lack of incentives, training and government support were exposed as the most critical barriers. The factor analysis revealed seven significant components: governmental policy, finance and research support-related; sustainable construction material supply chain-related; green building policy and capacitation-related; change and trust-related; cost and complexity-related; project execution and investment-related and awareness and demand-related.

The insights of construction professionals from construction companies were not solicited. However, construction consultancy professionals who have a more significant influence on adopting SCMs were included. The government and clients are most critical in promoting the adoption of SCMs through enacting relevant policies and establishing buy-in.

According to the authors’ knowledge, this is the first study to determine barriers to adopting SCMs through the contribution of key informants from various countries within the African continent.

To explore the fusion of dust particles and of polymers in a viscous liquid is the main purpose of this article. Newtonian fluid as a base fluid is considered and the mutual presence of polymers and dusty bodies is investigated. It discusses the steady laminar flow and heat transportation of a polymeric dusty liquid induced by a uniformly heated, penetrable and stretchable surface inside the boundary layer.

The mathematical system incorporates separate equations of energy and momentum for dusty bodies and for fluid. The classical Oldroyd-B model is chosen for exploring polymer presence. For the fluid phase, this model adds another stress to the conservation law of momentum. Appropriate similarity variables are introduced to transform the system of partial differential equations (PDEs) into a system of nonlinear ordinary differential equations (ODEs). The problem is solved by introducing a numerical iterative procedure which turned out to be fastly converging.

Expeditious changes inside the boundary layer cause polymers to deform. No changes outside the boundary layer are noticed on account of polymer stretching. The dependence of heat transfer rate and skin friction on the parameter of polymer concentration and Weissenberg number is analyzed and displayed graphically against interaction parameters for temperature and velocity, dust particles’ mass concentration, Eckert and Prandtl numbers. Combining effects of polymers and dust particles cause skin friction to decrease and heat transfer rate to increase. Increasing values of interaction parameter for velocity, dust particles’ mass concentration and Eckert number reduces the drag coefficient and local Nusselt number. On the other hand, the Prandtl number and interaction parameter of temperature magnify the heat flux at the wall.

This article studies the infinite extensibility of polymers. FENE and FENE-P models can be used to investigate the polymer presence in dusty fluids in the future.

In this article, the authors’ aim is to study the combined presence of polymers and dusty bodies. Keeping the existing literature in view, this type of fusion is not studied yet. Polymer inclusion in a viscous dusty fluid is studied and the behavior of fluid flow and heat transportation is investigated within the boundary layer over a permeable linearly stretching sheet.

Ground-handling services are important for effective aircraft operations in the air transportation system. Airlines often outsource these services to ground-handling agents through business-to-business (B2B) marketing decisions. Therefore, this paper aims to address the problem of ground-handling agent selection in the airline industry.

A real-world case study was carried out to demonstrate the applicability of the integrated best worst method and fuzzy multi-attribute ideal real comparative analysis (F-MAIRCA) approach to solve ground-handling agent selection problems under uncertainty and imprecision. A two-stage sensitivity analysis was also conducted to ensure the credibility and validity of the application.

In the weighting stage, “Quality” was determined as the most important criterion in terms of supplier performance. With regard to the performance of the ground-handling agents, A2 was found as the optimal supplier in terms of both credibility and validity.

This study enumerated several criteria that ground-handling agents must meet in order to effectively supply services for the airlines. In addition, this study provides a novel framework from which managers can gain additional benefits from their businesses. Finally, it is concluded that this approach will help airline managers quantitatively in choosing the most appropriate ground-handling agent.

The contributions of this study to the existing literature are twofold. First, we propose a novel multiple attribute decision-making approach to address the problem of supplier selection for airlines under uncertainty and imprecision. Second, the selection of ground-handling agents from the B2B perspective is addressed for the first time in literature.

Manufacturing organization has adopted the concept of sustainability to improve the performance of product and process as well as to focus on environmental issues. Despite technological advancements and awareness, there exist several performance obstacles for the implementation of sustainable manufacturing in an organization. The objective of the current study is to identify the performance obstacles, propose a structural model and validate the proposed model.

Twelve performance obstacles are identified through critical literature review and discussion with field experts. Primary and secondary factor analysis, that is, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), are used for the creation of the structural model, and further, structural equation modeling is used as a validating tool. EFA deals with the categorization of all performance obstacles in four major criteria, and CFA works for proposing a model for a relationship among all obstacles.

A validated structural model is provided through hypothesis acceptance for structural equation modeling. The outcome of this study can be helpful for decision-makers to incorporate sustainable practices in the manufacturing organization.

This study has extracted and identified performance obstacles for the implementation of sustainable manufacturing based on critical literature review and discussion with field experts. The study proposes as well as validates the structural equation model.