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This paper aims to evaluate the contribution of significant factors in the success of green manufacturing (GM) implementation in Indian small and medium-scale manufacturing organizations (SMEs).

In this paper, the fuzzy inference system (FIS; fuzzy logic toolbox) is deployed to assess the implementation of GM. For this purpose, significant factors for GM implementation success parameters are identified from relevant literature and validated by industry experts.

The output of FIS in MATLAB has given insight that adoption of new technology, customer’s attributes, social and government pressure and green supply chain management can be named as significant predicted variables for the success of GM implementation in Indian small and medium-scale organizations.

The current research is carried out in Indian small and medium-scale manufacturing organizations with inputs from all over India but this study would not be applicable to the organizations of different sectors such as servicing sector and would also not applicable to the large-scale industries and other geographical locations other than India.

The present research work establishes that GM initiatives have contributed in the business performance of Indian small and medium-scale manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of GM paradigms to enjoy higher potential of business performance.

Competition and globalization in the today’s scenario have posed many pressures on all manufacturing enterprises either it be small or medium scale organizations but at different levels. The purpose of this paper is to comprehend the usage of comparison for rankings between analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) approach and find out best parameters, which is a multi-decision-making method for quantifying the implementation of green manufacturing.

In this investigation, eight aspects, for instance, top management commitment and support, organizational practices, peer government pressure, peer social pressure, customer’s attributes, green supply chain management, government support and adoption of new/ supportive technologies have been identified to examine priority weights by the use of AHP. A comparative methodology is used between AHP and TOPSIS rankings and further identifying the success possibility of green manufacturing using AHP technique.

Green supply chain management, customer’s attributes and organizational practices have been ranked at first three places, respectively, while adoption of new/ supportive technologies, top management commitment and support have been ranked fourth and fifth, respectively, according to AHP and TOPSIS techniques, which declares that results of the study are validated by two different techniques. The important factors discussed in this research can assist the different organizations to concentrate on imperative sections and assigning obligatory resources for assuring successful green manufacturing execution in various small- and medium-scale enterprises (SMEs).

The variables identified for the research are suitable to SMEs.

The purpose of this study is to estimate and extract various significant technology push (TP) strategies influencing sustainable development in Indian manufacturing industries. The study critically examines the effectiveness of TP strategies in manufacturing enterprises.

An extensive survey of 92 companies has been executed to identify improvements made by TP strategies to achieve sustainable development in manufacturing industries. The companies in the survey include medium− and large−scale manufacturing enterprises. The correlations between various TP strategies and sustainable development indicators are evaluated and validated using various numerical methods and tools.

The focus of the paper is on the distinguishable contributions made by TP strategies such as innovative capability; research and development; corporate strategy; and export orientation toward achieving sustainable development. The inter−relationships between different TP practices with sustainable development indicators have been evaluated to efficiently manage the objectives of growth and sustainability. The research concludes that two TP strategies, namely, corporate strategy and innovative capability, are found to be substantial in the present context. These strategies have emerged as a foundation for several development initiatives and actively support manufacturing industries in accomplishing sustainable development. however, enterprises need to work more actively on improving less significant issues of TP.

In the present investigation, contributions made by TP practices have been evaluated to accomplish sustainable development in Indian manufacturing industries. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue−wise independent modeling can also be performed to assess the importance of TP strategies under specific orientations.

The research gives priority to enhancement in the planning among various TP practices and sustainable development indicators in the industries to impart TP as an important practice to meet various challenges of competent markets worldwide.

It has been exhibited from the observations that adequate TP strategies can efficiently contribute toward recognition of sustainable development to compete in the highly progressive global market. The results of various inter−relationships among TP practices and sustainable development indicators represent the effectiveness of TP practices for accomplishment of social and organizational objectives.

It has been investigated in the present study that TP practices are significant initiatives taken by the manufacturing industries for performance improvement and sustainable development. The paper elaborates the study to find out TP issues that need to be assessed significantly to avail the advantages of sustainable development and to meet the challenges posed by global market. The inter−relationships among TP strategies and sustainable development indicators have been analyzed using various statistical tools and techniques, such as inter−item covariance test; Pearson’s correlation analysis; multiple regression analysis; analytic hierarchy process and canonical correlation analysis.

The current manuscript is focused on evaluating the capabilities of green practices that affect various business performance (BP) parameters of small and medium scale Indian manufacturing enterprises (SME’s). This study aims to obtain multiple significant factors that influence the implementation of green practices.

The manuscript focuses on statistical testing of responses obtained from 168 Indian SMEs to determine the relationship between input parameters and BP parameters. This paper starts with deploying tests such as Cronbach alpha and inter-item covariance test to obtain confidence in data collected, followed by various statistical tests such as Pearson correlation, multiple regression, canonical correlation to extract various significant factors the study. Further Games-Howell post hoc test is deployed to evaluate the significant improvements in BP gained over a reasonable duration of time. Finally, a discriminant validity test is used to find out the success or failure of the organizations that participated in the survey.

This research contributes to the holistic effect of green manufacturing (GM) toward gaining improvements in terms of different BP parameters taken for the study. It has been found that various input factors such as customer attributes, adoption of new technology, social pressure and government pressure are the main parameters for GM implementation. Further, it is observed that those at the maturity phase of GM implementation are reaping higher benefits than the organizations at the transition and stability phase.

The current study has been accomplished in Indian SME manufacturing organizations to investigate the effects of GM implementation in the organization. Although research findings imply the effective use of green practices within the organization to reap BP parameters and improve the market’s competitive image, the study cannot be generalized and can be used as an insight for both academicians and end-users in understanding the overall achievements of GM.

This study investigated how sources of information across social media platforms influence fantasy users’ sport consumption and enhance their performance expectancy. Specifically, we examined the effects of social media-related motivation on fantasy users’ playing skills, sense of competition and performance expectancy based on the uses and gratifications theory.

Data were collected from 453 fantasy sport users on social media platforms. We conducted confirmatory factor analysis to assess a measurement model and used serial mediation techniques to examine the relationship between social media-related motivation and fantasy sport users’ performance expectancy.

Results showed that social media-related motivation had significant and positive impacts on fantasy users’ playing skills, sense of competition and performance expectancy. Additionally, we found that fantasy users’ playing skills increased their sense of competition and performance expectancy. A sense of competition was found to positively affect fantasy users’ performance expectancy.

This study provided a valuable contribution to the existing body of knowledge on social media by investigating the influence of social media-related motivation on fantasy sport users. The findings reveal that sharing content-based information on social media platforms plays a vital role in attracting and motivating individuals to engage in fantasy sports. The updated information enhances the playing skills of fantasy users, fosters a sense of competition and improves performance in virtual sport.

The paper models the effect of spatial clustering on various dimensions of inter-firm competitive rivalry among port logistics firms using Porter's five forces model.

A survey-based quantitative approach is adopted to collect data from logistics firms, which are directly or indirectly dependent on the Port of Melbourne in Australia. A structural equation modelling (SEM) technique is used to examine the theorised relationships between various dimensions of inter-firm competitive rivalry and the tendency of spatial clustering of logistics firms in the vicinity of Port of Melbourne.

The results indicate that the inter-firm competitive rivalry increases significantly when logistics firms are spatially clustered. This effect is further augmented when they cluster around the port. Co-location of firms near the port tends to increase “bargaining power of buyers”, whilst indirectly affecting “competitive rivalry” via “threats of substitutes”. This indicates that co-location enhances the bargaining power of buyers through the greater availability of substitute services that in turn promotes competitive rivalry among firms. However, co-location has an insignificant effect on “barriers to entry” and “bargaining power of suppliers”. Low entry barrier thus favours high competitive rivalry among firms. Hence, this paper validates the Porter's cluster and five forces models that confirm the positive effect of port logistics clusters (PLCs) on bargaining power of buyers and indirect effect on competitive rivalry partially mediated through threats of substitutes.

This study provides empirically grounded evidence for firms to evaluate co-location decision choices and help buyers and sellers to devise business strategies to enhance inter-firm competitive rivalry and bargaining power.

This is the first systematic attempt to empirically validate Porter's five forces model in the context of PLC. Furthermore, the conceptualisation of PLC concept both as spatial and functional constructs (i.e. dependency on port) is novel. This study thus has broadened the meaning of cluster from a geographic entity to a more useful functional construct to reflect inter-firm dependencies.

The purpose of this paper is to demonstrate the erosion performance of coated and uncoated surfaces of glass fibre-reinforced polymers (GFRP) wind turbine blade material using Taguchi's approach. Taguchi's array (L25) optimized erosion wear by varying three parameters: impact velocity, impact angle and run time across five levels.

The studies were carried out using a whirling arm rig tester with an impact velocity range of 30–70 m/s (metre per second), an impact angle of 0–90 degree and a run time of 30–90 min. Salt water is used as an erosion agent to replicate the offshore environment. Taguchi's method was used to optimize the process parameters.

The results showed that erosion is less on the coated surface than on the uncoated surface. When compared to other factors, impact velocity was determined to be the most dominant, whereas run time was the least dominant. In addition, GFRP wind turbine blade material exhibits a ductile erosion process. Furthermore, in all experimental trials less erosion was observed on coated surfaces as compared to uncoated surfaces.

Few researches have been done using different design of experiment techniques to optimize the erosion wear response of uncoated GFRP materials and coatings based on polyurethane. Furthermore, mechanism of the erosion and morphology of both surface conditions was investigated using scanning electron microscopy, X-ray diffraction, energy dispersive X-ray spectroscopy testing and Minitab software.

The purpose of this paper is to investigate as well as select various significant demand pull (DP) strategies affecting sustainable development (SD) in manufacturing organizations. The study deploys the structural equation modeling (SEM) technique to empirically validate the interrelationships between significant DP strategies and SD indicators in an SEM-DP Model.

Confirmatory factor analysis approach is applied to generate an effective SEM-DP model using the AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing DP strategies, using a well-framed DP questionnaire for the evolution of the SEM-DP model.

SEM of various DP strategies like stringent implementation of government regulations (SIGR), transforming capabilities, unionized labor (UL), and customer attributes (CA) toward achieving SD in manufacturing industries has been performed. The SEM-DP model has been planned and reports obtained before and after modification indices of the model are correlated, which further establishes improvements in the model’s effectiveness. The research concludes that significant DP strategies, namely, SIGR, UL, and CA support the manufacturing industries in accomplishing SD in terms of competitiveness, business performance enhancements, flexibility, customer satisfaction, and technological development.

In the present study, contributions of DP practices are determined to accomplish SD in Indian manufacturing organizations only. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue-wise independent modeling can also be performed to assess the importance of DP practices under specific orientations.

The results of various interrelationships among DP practices and SD indicators in the SEM-DP model portray the effectiveness of DP practices for achieving organizational goals and social commitments.

The outcomes of the study will help DP practitioners, organizational managers, and HR executives in the manufacturing industries to develop a clear understanding about the significant DP strategies to be followed holistically for accomplishing SD. The manufacturing enterprises will be able to frame and organize their policies, handle their UL issues and CA in a more appropriate way. Hence, the knowledge obtained from present study will help improve the overall performance of manufacturing industries involved in the present context.

This study aims to examine the influence of five sports celebrity personality (SCP) attributes – attractiveness, expertise level, credibility, trustworthiness and character – on consumers' purchase intentions (CPI). It identifies celebrity brand congruence (CBC), endorsed brand celebrity (EBC) and transfer of brand image (TBI) as antecedents of CPI.

The purposive sampling technique was used to collect the data from 838 respondents. This study developed a multidimensional construct for SCP. The covariance-based structural equation modeling (SEM) technique was used to examine the relationship between SCP and the endorsed brand. The study used CBC as a mediator and EBC and TBI as partial mediators. The direct and indirect effect of SCP on CPI was investigated using CBC, EBC and TBI as mediators.

This study supports the importance of three antecedents (i.e. CBC, EBC and TBI) on CPI. It finds congruence across SCP and CBC variables, and a positive impact of SCP on EBC and TBI variables. Also, it exhibits a significant direct effect of CBC on EBC and TBI, whereas the direct effect of CBC on CPI is not substantial. The indirect effect of CBC through mediating variables EBC and TBI found to be significant.

This study concludes that sports celebrity endorsement is essential to transfer the positive celebrity image to the endorsed brand image. However, it is not merely sufficient to influence the buyers' purchase conduct; the brand credibility additionally assumes to take a role in changing their behavioral intentions.

This study contributes to the sports marketing literature by its novelty in analyzing the sports celebrity personality at a multidimensional level. It uses SCP's different attributes as one construct and studies its impact on CPI by taking CBC, EBC and TBI as mediators. The results of this study equip sports management professionals with the knowledge to build better long-term relationships with consumers.

The perception of sport consumers on peripheral stadium-quality services (PSQS) has evolved after compulsory precautionary measures were imposed on gatherings to alleviate the spread of coronavirus. This study attempts to reassess five principal dimensions of PSQS? Stadium parking, stadium cleanliness, fan control, food services and perceived crowding? through reflecting on the COVID-19 control and prevention measures established during this pandemic. Furthermore, it aims to measure the impact of the multi-dimensional PSQS on spectators' emotions and future attendance intentions.

The purposive sampling technique was used to collect data from spectators watching the live matches of cricket at the stadium. A total of 680 responses were collected from spectators and uploaded to the measurement model. The covariance-based structural equation modeling technique was used subsequently for analysis purposes.

The study found a positive impact of the stadium cleanliness and fan control services on spectators' happiness and excitement emotions; and a negative impact of stadium parking, stadium cleanliness, fan control and perceived crowding on their anger, anxiety and dejection emotions. The happiness and excitement emotions of the spectators induced them to visit again at the stadium. Of all the peripheral quality services, the study found only stadium cleanliness service indirectly effect spectators' revisit intentions through excitement emotion as a mediator.

The incorporation of the safety procedures through PSQS can reduce spectators' negative emotions especially when they face psychological fear of the pandemic. These services work as a stimulus for spectators that directly affect their organism (emotions) and indirectly affect their response (attendance intentions).

This study contributed to sports research by novelty evaluating sport consumers' perception of the PSQS after incorporating COVID-19 preventive measures. It empirically examines the effect PSQS on spectators' emotions and re-visits intentions.