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The purpose of this research is to develop a framework/model for the implementation of advanced manufacturing technologies (AMTs) in small and medium enterprises (SMEs).

A quantitative approach has been applied. This approach is subjective, as is the data collected and compared in detailed, and the outcome is only as good as the questions developed. The research methodology employed here is based on a literature survey, a model/framework and an empirical analysis using the data collection from the structured questionnaire from SMEs located in the Province of Sindh in Pakistan.

There is a lack of engineering orientation, in‐house expertise and organizations long‐term vision to accept new technologies. The surveyed companies are giving less importance to arranging training and education facilities either in‐house or out side of the companies to their employees. Also, there is a lack of incentives and rewards scheme inside the surveyed companies.

The framework developed in this paper and findings of the research results will provides a road‐map to the SMEs who are in a process of implementing AMT.

The purpose of this study is to investigate the synergy between sectoral output, energy use and CO₂ emission with other factors for a panel of South Asian economies including Afghanistan, Bangladesh, Bhutan, India, Pakistan, Maldives, Nepal and Sri Lanka.

The analysis is done using annual panel data from 1980–2019 using dynamic ordinary least squares (DOLS), fully modified OLS (FMOLS) and Toda-Yamamoto techniques.

Empirical findings reveal the existence of a statistically significant long-run cointegrating relationship between energy use, sectoral output such as agricultural, industry and service gross domestic product (GDP), globalization, urbanization and CO₂ emission. DOLS and FMOLS result posits that in the case of the South Asian region agriculture GDP does not contribute to increasing CO₂ emission while service and industrial GDP is responsible for increasing CO₂ emission along with urban population, energy use and to some extent globalization. More remarkably, the contribution of the service GDP is greater than the other two sectoral outputs in increasing CO₂ emission with a feedback hypothesis.

As CO₂ emission is a global phenomenon with a cross-boundary effect, these empirical findings might contribute to formulating implementable energy and environmental policies to sustain growth, as well as to protect the environment in the regional context.

The study contributes to the literature by providing an empirical investigation of South Asia incorporating the contribution of sectoral output to understand the potential contribution of each sector on energy and emission. This is the first study on the South Asian context from the perspective of sectoral output, energy and emission.

This paper aims to investigate the effects of economic growth, population density and international trade on energy consumption and environmental quality in India.

Taking annual data of 1971-2011, autoregressive distributed lag bounds testing technique is applied to explore the long run link between the series. The Granger causality test is used to determine the direction of causality between the variables.

The obtained results confirm the cointegration of variables, and economic growth and population density are found to have significant positive effects on energy consumption in both the short and long runs. CO₂ emissions are also positively and significantly affected by population density and energy consumption, and negatively affected by economic growth.

The paper is original and valuable in the sense that it has considered two relevant additional explanatory variables, namely, population density and trade openness, which got little attention in the past. This research is an improvement over the previous studies because it has looked at the separate effects of explanatory variables on energy consumption, in addition to the effects on carbon emissions. Therefore, the findings of this research are more reliable because this adopted methodology is better and extensive, and the authors have properly addressed the issue of omitted variable bias.

Scarcity of resources, ecological imbalance, global warming, rising energy prices and the ever-changing need for variety have attracted the government and manufacturers for sustainable development of the industries. The integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS) provides a solid platform for meeting both the customers’ variety needs and business sustainability requirements. Many organizations opted for ISGLSAMS, but still due to various barriers organizations are not able to fully implement ISGLSAMS. The purpose of this paper is to identify the barriers to the ISGLSAMS, so that a more sustainable industrial manufacturing system and industrial symbiosis can be developed.

A literature review, from the Web of Science and Google Scholar database, has been carried out to identify the various barriers to the implementation of ISGLSAMS in the entire value chain. A total of 168 research papers have been reviewed for identifying the ISGLSAMS barriers.

This paper elaborates the concept of the ISGLSAMS, its attributes and various barriers and contributes to a better understanding and successful implementation of ISGLSAMS to meet business’ sustainability and market performance goals in the entire value chain. The paper also projects the future research framework and directions for the ISGLSAMS, integrated sustainable-green-lean-six sigma-agile (ISGLSA) product and ISGLSA supply and value chain.

The study contributes to a better understanding of ISGLSAMS’ barriers. The government, stakeholders and policymakers may plan the policy, road map and strategies to overcome the ISGLSAMS’ barriers. In-depth knowledge of subclauses of ISGLSAMS’ barriers will help the practitioners to overcome the ISGLSAMS’ barriers strategically. By overcoming the ISGLSAMS barriers, a more sustainable 7 Rs based market focused manufacturing system can be designed. This will also increase the opportunities to enhance the industrial ecology, industrial symbiosis and better recovery of the product, process and supply chain residual value. This will reduce the waste to the ecosystem.

This work has been carried out in search of a more sustainable manufacturing system, i.e. ISGLSAMS (which is 7 Rs based, i.e. 6 Rs of sustainability with 7th R, reconfiguration) to meet the customer variety needs along with sustainability in the ever-changing customer market. This study adds value to the practitioners to identify and prioritize the ISGLSAMS’ industry-specific barriers and design the solution for the more sustainable development of (1) industries, (2) the industrial symbiosis system and (3) the ISGLSA product, process, system and supply value chain with minimum resource consumption and environmental impact. The research also contributes to the (a) ISGLSAMS (b) ISGLSA supply chain (c) reconfigurable, sustainable and modular products and (d) redesign, recovery and refurbishing of the product to increase the product life cycle.

The purpose of this paper is to investigate the relationship among energy consumption (EC), carbon dioxide emission, economic growth, foreign direct investment, population, poverty, and income of four Association of South East Asian Nations (ASEAN) countries, namely, Malaysia, Singapore, Brunei, and the Philippines.

An econometric analysis was used to achieve the goal of this study taking the period of 1995-2014.

The results of the study motivated the researcher to recommend that four ASEAN countries, namely, Malaysia, Singapore, Brunei, and the Philippines should increase their energy efficiency, increase the share of green energy from their total energy use, and increase energy conservation in order to reduce the unnecessary wastage of energy.

The findings validate that economic growth, population, and income have positive and statistically significant impacts on EC, while carbon dioxide emission, foreign direct investment and poverty have negative impacts on EC for Malaysia. Economic growth, income and poverty have positive and statistically significant impacts on EC, while carbon dioxide emission, foreign direct investment and population have negative impacts on EC for Singapore. Carbon dioxide emission and foreign direct investment have positive and statistically significant impacts on EC, while economic growth, population, poverty and income have negative impacts on EC for the Philippines. Finally, economic growth, carbon dioxide emission and income have positive and statistically significant impacts on EC, while foreign direct investment, population and poverty have negative impacts on EC for Malaysia.

The purpose of this paper is to evaluate the enablers for improving the utilization level of advanced manufacturing technologies (AMTs) in Indian manufacturing industry.

In this paper, a large number of manufacturing organizations have been extensively surveyed, to ascertain the contributions made by success factors of AMTs towards realizing manufacturing performance improvements. The correlations between enablers of AMTs' utilization and manufacturing performance parameters have been evaluated and validated by employing various statistical tools.

The paper focuses upon significant contributions of AMTs' success factors namely: education and training of employees; interdisciplinary team formation; rewards and recognition to employees; and industry‐institute interaction, towards affecting improvements in manufacturing performance in Indian industry. The inter‐relationships between various AMTs' utilization success factors with the manufacturing performance parameters have been evaluated.

The study has been conducted only in Northern Indian manufacturing organizations.

The paper highlights the strong potential for enablers of AMTs' utilization in improving organizational performance parameters.

The present study is a novel attempt to measure the impact of population growth, natural resource depletion, non-renewable energy consumption, growth of national income, remittances inflow and industrial output on carbon dioxide emissions in India during the period of 1980–2018.

Autoregressive distributive lag (ARDL) is used to achieve the objective. The application of FMOLS (fully modified ordinary least squares), DOLS (dynamic ordinary least squares) and CCR (canonical cointegrating regression) techniques illustrate statistical robustness.

The long-run ARDL results confirm that increase in population, national income and energy consumption have a positive and significant impact on pollution levels in India. In contradiction to this, long run results further reveal that the increase in natural resource depletion, industrial output and remittances inflow have insignificant and negative impact on pollution levels in India. Further, the empirical findings did not find any evidence for the applicability of the environmental Kuznets curve (EKC) in India during the study period.

The study is confined to only a few important determinants of CO₂ emissions in India. However, there is a large chunk of studies that have incorporated other determinants of CO₂ emissions. Specifying a few determinants of CO₂ emissions in India is itself a lacuna in the present study. Moreover, taking the time period from 1980 to 2018 is also one of the limitations of the study.

Plenty of research has been devoted to the causal relationship between the environment and its various determinants. However, not much attention has been paid to investigating the association between population growth, natural resource depletion, energy consumption, GDP per capita, remittances inflow, industry and carbon dioxide emissions in India. Since, CO₂ emissions are one of the widely accepted and applied emissions in EKC applications, which the present study intends to test. Moreover, the study employs advanced econometric techniques including ARDL framework, FMOLS, DOLS and CRR methodologies to achieve robust results. Such an investigation will potentially allow policymakers to frame efficient environmental and fiscal policies to achieve the desired results.

The continuous increase of CO₂ emissions in India has compelled policy makers to prioritize this issue as soon as possible and formulate national environmental policy for reducing the share of carbon dioxides emissions in climate change. The study could constitute the focus of future research.

This study has analyzed strategic issues in implementing advanced manufacturing technologies (AMTs) in manufacturing organizations in India and their relative importance.

A survey of manufacturing organizations was conducted, and the data were analyzed using statistical tools (one-sample t-tests, correlation and regression analyses).

Improvement in product quality and flexibility of operations are the motivation for AMTs implementation. Top management support and sound financial conditions are essential for implementing AMTs. Successful implementation of AMTs helps in reducing the lead time and improving overall business performance.

The findings of this study will help organizations in the implementation of AMTs for improving productivity and business performance. The study is limited to manufacturing organizations in India.

Organizations should allocate sufficient funds for AMT applications. Organizational culture should be made conducive to the adoption of new technologies. Employees should be provided adequate training for its successful implementation.

The main contribution of this paper is that it provides a detailed analysis of strategic issues for implementing AMTs in manufacturing organizations.

The purpose of this study is to analyze the factors affecting startup development and the entrepreneurship ecosystem's contribution to it.

A quantitative methodology is used for data collection from different startup owners working across Pakistan. It is a cross-sectional descriptive study, which investigates the causal effect of variables at a definite point in time. Non-probability convenient sampling was used for selecting available startups from the incubation centers. The sampling framework consists of the founders of the startups that have been previously incubated at any of the selected incubation centers.

Regression analysis results from 165 responses of entrepreneurs and incubation centers demonstrate that the most important factors affecting startup development were financial access, government support, marketing challenges, education, technology and managerial skills in order of occurrence. Entrepreneurship ecosystem also proved to have a very positive impact on the relationship of these factors with startup development.

In this paper, the factors that affect the development of startup are analyzed and recommendations are provided.

This research is comprehensive, as we have collected data from actual entrepreneurs and incubation centers to explain how entrepreneurs initiate their startup business by considering their managerial skills. As such, this study is unique in that the data comes from newly developed incubations centers in one of South Asia's fastest-growing economies.