Contribution of green manufacturing for realizing business performance in Indian small and medium scale organizations (SME’s)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahakdeep Singh ◽  
Kanwarpreet Singh ◽  
Amanpreet Singh Sethi
Keyword(s):  
Business Performance ◽  
Discriminant Validity ◽  
Statistical Tests ◽  
Pearson Correlation ◽  
Green Manufacturing ◽  
Statistical Testing ◽  
Content Type ◽  
Medium Scale ◽  
Green Practices ◽  
Significant Factors

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

Justification of green manufacturing implementation parameters using fuzzy-based simulation model

2020 ◽  
Vol 11 (4) ◽  
pp. 377-394
Author(s):  
Mahakdeep Singh ◽  
Kanwarpreet Singh ◽  
Amanpreet Singh Sethi
Keyword(s):  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Research Work ◽  
Green Manufacturing ◽  
Inference System ◽  
Content Type ◽  
Medium Scale ◽  
Manufacturing Organizations ◽  
Significant Factors

Purpose 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). Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Originality/value 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.

Strategic impact of SCM and SCQM practices on competitive dimensions of Indian manufacturing industries

2019 ◽  
Vol 31 (5) ◽  
pp. 696-721 ◽  
Author(s):  
Mandeep Kaur Sidhu ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Business Performance ◽  
Large Scale ◽  
Manufacturing Industry ◽  
Discriminant Validity ◽  
Research Work ◽  
Manufacturing Industries ◽  
Combined Approach ◽  
Total Quality ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry. Design/methodology/approach In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches. Findings The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance. Originality/value TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

An empirical study on applicability of lean and green practices in the foundry industry

2016 ◽  
Vol 27 (3) ◽  
pp. 408-426 ◽  
Author(s):  
Suresh Prasad ◽  
Dinesh Khanduja ◽  
Surrender K. Sharma
Keyword(s):  
Business Performance ◽  
Management Practices ◽  
Descriptive Statistics ◽  
Relative Significance ◽  
Content Type ◽  
Foundry Industry ◽  
Green Practices ◽  
Lean And Green ◽  
Questionnaire Method ◽  
Business Performance Measures

Purpose – The purpose of this paper is to investigate the applicability of lean and green practices to foundry industry in India for improving productivity and eliminating waste, incorporating the sustainability into business performance measures. Design/methodology/approach – The study used survey questionnaire method to collect data against 16 lean and green practices from 71 middle- to senior-level professionals belonging to Indian foundry industry. The survey instrument of lean and green practices was developed based on a number of sources from the literature and formal discussions with academicians and foundry industry professionals. The responses were received on a five-point Likert scale ranging from least applicable to most applicable. Exploratory factor and reliability analyses are conducted to obtain and validate constructs and measure each constructs Cronbach’s α (i.e. a consistency coefficient). The lean and green practices are categorized into the four constructs, namely, workplace organization practices, management practices, inventory control practices, and industrial manufacturing and quality improvement practices. Further, descriptive statistics is employed to find out the relative significance of lean and green practices. Findings – Factor and reliability analyses show that all four constructs are adequate and reliable to illustrate lean and green practices. Descriptive statistics indicates that lean and green practices are applicable for implementation to a certain extent in the foundry industry. Correlation analysis shows that lean practices are positively and moderately interrelated with green practices. Thus, the results present a strong evidence that lean and green practices are moderately applicable for implementation in the foundry industry. Originality/value – The paper provides insights into the applicability of lean and green practices implementation in the context of a developing country and presents evidence that lean and green practices are moderately applicable in the foundry industry. In addition, this paper is one of the few efforts to promote sustainable development within the industry.

Justification of synergistic implementation of TQM-SCM using fuzzy-based simulation model

2020 ◽  
Vol 17 (1) ◽  
pp. 71-89 ◽  
Author(s):  
Mandeep Kaur ◽  
Kanwarpreet Singh ◽  
Doordarshi Singh
Keyword(s):  
Business Performance ◽  
Manufacturing Industry ◽  
Research Work ◽  
Leadership Role ◽  
Total Quality ◽  
Inference System ◽  
Content Type ◽  
Synergistic Approach ◽  
Indian Industries ◽  
Significant Factors

Purpose The purpose of this paper is to evaluate the contribution of significant factors in the success of supply chain management (SCM) implementation and in synergistic approach (SCM-TQM) terms of business performance of Indian medium- and large-scale manufacturing industry. Design/methodology/approach This research paper deploys the fuzzy inference system (fuzzy logic tool box) to evaluate the success of SCM and synergistic approach’s implementation. For this purpose, significant factors for each SCM approach as well as synergistic approach are identified from relevant literature and validated by industry experts. Findings The results of fuzzy rule viewer and surface view tool of fuzzy tool box in MATLAB have highlighted that synergistic approach is better as compared to SCM approach. Furthermore, top management support and leadership role, SCM issues and total quality management (TQM) issues have emerged as significant predictor variables for successful synergistic implementation of TQM-SCM in Indian industries. Originality/value TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM-SCM) initiatives have contributed more as compared to only SCM approach in the business performance of Indian manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

scholarly journals Does organizational culture matter in the relationship between trust and SMEs performance

2019 ◽  
Vol 57 (7) ◽  
pp. 1638-1658 ◽  
Author(s):  
Abdullahi Hassan Gorondutse ◽  
Haim Hilman
Keyword(s):  
Organizational Culture ◽  
Social Responsibility ◽  
Business Performance ◽  
Discriminant Validity ◽  
Positive Impact ◽  
Positive Influence ◽  
Small Scale ◽  
Content Type ◽  
Research Findings ◽  
Small Scale Industries

PurposeAlthough literature indicated that business social responsibility (BSR) is now a common practice and accepted norm among business enterprises globally, the concept is not well understood and its influence on business performance is contradictory. Therefore, based on the stakeholder theory, the purpose of this paper is to examine the association among trust of BSR and the performance of small-scale industries in Nigeria with organizational culture as a moderating factor.Design/methodology/approachThe hypotheses of the study were tested using personally administered survey questionnaires; the study obtained 486 valid questionnaires, which were evaluated using SmartPLS Algorithm and bootstrapping functions.FindingsThe research findings were established using SmartPLS Algorithm and bootstrapping functions. According to the results, the research constructs have a satisfactory convergent and discriminant validity. Equally, the overall model has a very high predictive relevance. In addition, the results showed that all the predicting variables explained 40 percent variance in the criterion variable. Thus, the study established strong positive influence of trust of BSR on the small-scale industrial performance. Correspondingly, the study established a strong positive impact of organizational culture on the performance of the small-scale industries. However, the study could not establish the moderating influence of organizational culture on the constructs.Research limitations/implicationsThe study used perceptions of owner/managers and only small-scale industries.Practical implicationsThe research findings may be found beneficial to policy makers and academics, particularly in understanding trust of social responsibility, its influence on performance of small-scale industries and fit between organizational culture and strategic direction of a business enterprise.Originality/valueThe study offers some meaningful contribution to knowledge on BSR by exploring the mechanisms connecting trust of BSR with performance. Also, research expert in the field of BSR usually explores the advantage of these findings by utilizing the action of BSR on internal and external stakeholders.

An empirical exploration of Agile manufacturing for enhanced business performance in Indian manufacturing industry

2020 ◽  
Vol 17 (1) ◽  
pp. 90-111
Author(s):  
Rahul Kumar ◽  
Kanwarpreet Singh ◽  
Sanjiv Kumar Jain
Keyword(s):  
Performance Measures ◽  
Business Performance ◽  
Manufacturing Industry ◽  
Discriminant Validity ◽  
Statistical Significance ◽  
Agile Manufacturing ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Implementation Practices ◽  
Business Performance Measures

Purpose The purpose of this paper is to investigate the effects of agile manufacturing practices on business performance of Indian medium and large-scale manufacturing industry. Design/methodology/approach A survey questionnaire was designed to attain the research objectives. Agile manufacturing questionnaire was sent to around 500 randomly selected manufacturing organizations in the northern spectrum of India through e-mails and posts, out of which 154 usable responses have been received. This study investigates the inter-relationships between various agile manufacturing implementation practices and business performance measures using various statistical techniques. This paper deploys Games–Howell hoc test to establish the statistical significance of business performance improvements, progressively accrued over a reasonable period of time, through holistic agile manufacturing implementation. Findings The paper validates the contribution of agile manufacturing toward realization of the significant improvements in various business performance measures such as customer-related achievements, financial achievements, business-related achievements, operational achievements, employee-related achievements, and supplier-related achievements. Further, the discriminant validity test has been used in this paper for classifying highly successful and moderately successful organizations. Research limitations/implications The paper only concentrated on manufacturing organizations in northern India. The results of this paper cannot generalize across all the sectors and spectrum of Indian manufacturing organizations. Originality/value This paper develops an insight into the strong potential of agile manufacturing implementation practices in affecting business performance measures.

Advance manufacturing strategy and firm performance

2017 ◽  
Vol 24 (1) ◽  
pp. 62-101 ◽  
Author(s):  
Balkrishna Eknath Narkhede
Keyword(s):  
Firm Performance ◽  
Business Performance ◽  
Manufacturing Systems ◽  
Organizational Knowledge ◽  
Advanced Manufacturing ◽  
Manufacturing Strategy ◽  
Content Type ◽  
Medium Scale ◽  
Study Approach ◽  
Manufacturing Technologies

Purpose The purpose of this paper is to assess the implications of organizational knowledge, source of information and functional orientation, resource-based view of the manufacturing and global orientation, on manufacturing practices which include advanced manufacturing strategies. Design/methodology/approach An empirical study approach has been used to assess the implications of advanced manufacturing strategies on firm performance. Findings This paper provides a framework for managers to: assess competitive priorities of the industry; identify order winners for the industry; identify key decision areas or practices for improvements; and to assess the role of implications of organizational knowledge on the manufacturing practices. Research limitations/implications The limitations are as follows: the issue of organizational knowledge and learning is assessed from manufacturing view point only; plants located all over India are considered for study; and considers plants employing different manufacturing systems and products. Practical implications Saturated with the conventional manufacturing technologies, a growing number of small- and medium-scale industries began to explore advanced manufacturing technologies (AMTs). Investment in AMTs remains a promising but potentially risky venture. This paper helps the small- and medium-scale industries to adopt viable AMTs and business performance strategies and then provides guidelines for enhancing their competitiveness. Social implications This paper may help all the stakeholders of small- and medium-scale industry. Originality/value This paper is based on one of the few studies conducted to assess the implications of advanced manufacturing strategies on firm performance in Indian scenario.

The role of emerging technologies in implementing green practices to achieve sustainable operations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Umar ◽  
Syed Abdul Rehman Khan ◽  
Hafiz Muhammad Zia-ul-haq ◽  
Mohd Yusoff Yusliza ◽  
Khalid Farooq
Keyword(s):  
Emerging Economies ◽  
Industry 4.0 ◽  
Green Manufacturing ◽  
Environmental Benefits ◽  
Green Logistics ◽  
Sustainable Operations ◽  
Content Type ◽  
Sustainability Performance ◽  
Study Results ◽  
Green Practices

PurposeThe current study investigates the effect of industry 4.0 on green practices, including green manufacturing and green logistics, in the context of emerging economies.Design/methodology/approachA cross-sectional data were collected from 234 manufacturing firms in Pakistan, and PLS-SEM was employed to test hypotheses.FindingsWith the advent of industry 4.0 in the current era, more emphasis is being given to the adoption of digital technologies in every field. The adoption of the green approach in supply chain management provides firms with socioeconomic and environmental benefits. The study results indicate that industry 4.0 positively affects green practices, including green manufacturing and green logistics. Moreover, the results also illustrate that these green practices have a substantial effect on the sustainability performance of the firms.Research limitations/implicationsThis study provides an amplified understanding of the industry 4.0 technologies in the adoption of green practices. The outcomes also offer a policy framework for managers, legislators and manufacturers to promote green practices (i.e. green manufacturing and green logistics) in businesses.Originality/valueAlthough several recent studies have tried to investigate the effect of green practices on sustainability performance. However, as per the author's best knowledge, very few studies have analyzed the influence of industry 4.0 on green practices (i.e. green manufacturing and green logistics) in the context of emerging economies.

Lean-green performance management in Indian SMEs: a novel perspective using the best-worst method approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaad Ahmad ◽  
Ahmad Abdullah ◽  
Faisal Talib
Keyword(s):  
Organizational Performance ◽  
Performance Management ◽  
Green Manufacturing ◽  
Extensive Literature ◽  
Order Model ◽  
Quality Performance ◽  
Main Category ◽  
Content Type ◽  
Green Practices ◽  
Best Worst Method

PurposeIn a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a pressure from various stakeholders to add to their environmental and quality performance .The solution obviously lies in continuously adopting and improving upon lean-green practices in their operations. This work aims at identifying, classifying and building up a duly tested robust ranked-order model of such “enablers”, related to lean-green practices, that puts them (the enablers) in an order of being the most significant to being the least significant further to be accorded the same or similar weight in strategy formulation and implementation stage by Indian SMEs for enhancing their overall organizational performance.Design/methodology/approachThe study identifies 20 enablers (12 lean and 08 green manufacturing enablers) through extensive literature review and experts' opinion survey and classifies them into three main categories. The ranking and significance of each of the main and subcategory enablers is evaluated according to its weight which is determined by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis.FindingsThe results of this study reveal that out of the three main category enablers, “operational performance enablers (E1)” and “quality performance enablers (E3)” are the most and the least significant enablers, while in the group of 20 subcategory enablers, “Kaizen (E17)” and “environment emission control (E28)” are the most and the least significant subcategory enablers, respectively.Practical implicationsThe prioritization model or ranked-order model of the lean-green manufacturing enablers proposed through this study may serve as a standard model to managers to help them decide and allocate their efforts and resources accordingly in managing their operations. This will also help them adopt high-ranking lean-green manufacturing enablers in their firms and benchmark and standardize their existing practices accordingly, leading to greater competitive advantage.Originality/valueThe study identifies various green-lean manufacturing enablers in SMEs, classifies them into three main categories and ranks them using BWM approach. The findings of this study should be extremely relevant to managers, manufacturing engineers and practitioners in Indian SMEs from the perspective of developing deeper appreciation of these enablers as per their relative ranked importance to further formulating an effective and efficient strategy for their implementation resulting in optimal results.

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