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The performance measurement system (PMS), recognized as an important tool for rapid improvement, has found wide applications in the larger organizations and has received a lot of research attention in recent past. PMS adoption in SMEs is low even though SMEs have realized its importance and benefits and are now ready to embrace PMS as a tool for improvement. This paper proposes a novel framework, called the footprint framework, for design and implementation of PMS for SMEs. The proposed framework overcomes some of the major barriers to adoption by simplifying the process of design and implementation of PMS.

The theoretical framework was conceptualized and its basis was tested for feasibility using an industry survey. The survey was analyzed using the statistical tools available in the SPSS 24.0 statistical analysis software, and the insights obtained from this analysis were used to shape the proposed framework. The framework was populated for small and medium manufacturing organizations (SMMOs) as a case study. Analytic hierarchy process was used to synthesize the data provided by the survey to build up the proposed framework and its components.

The footprint framework is a unique framework in the respect that it consists of a set of PMS suited to different company profiles that can be accessed quickly. Any SMMO that desires to determine its future PM requirements has simply to define its probable profile of the future in terms of size, business model and order winner and check the PMS appropriate to that profile from the footprint framework. Thus the SMMO can even prepare for its futuristic PM needs.

The proposed framework overcomes some of the major barriers to adoption by simplifying the process of design and implementation of PMS. The main advantages of the footprint framework are its simplicity, ease of use, immediate implementation and a built-in knowledge bank.

This research has proposed a new PMS framework, an out of the box tool that makes it possible for the Indian SMMO to adopt PMS on an instant basis. The footprint framework combines the experience of several researchers and several practitioners to offer a ready-made starter kit that needs no other aid to implement a most appropriate PMS and leverage the industry PM best practices to build the performance measurement knowledge and expertise of the SMMO without going through a protracted learning or training process.

This research has made a novel proposal for a PMS framework by proposing the footprint framework – a PMS framework that is not only an instant, out of the box solution for the SMMOs but also incorporates the know-how to implement the performance measurement complete with information on what to measure, how to interpret and what should be done to improve.

The proposed framework is simple to understand and removes a key barrier of PMS adoption for SMMOs. The user SMMO needs to state its size, business model and order winner from the available options, build up its PMS code, select the matching PMS from the framework and the SMMO is ready to implement the PMS.

The eco-innovation is considered one of the possible ways to tackle climate change. However, the conflicting empirical evidence related to the role of eco-innovation on environmental quality becomes a motivation to explore the effect of eco-innovation on environmental degradation proxied by ecological footprint. Besides, it controls economic growth, remittance inflows, trade openness and total energy consumption in the environmental degradation function.

Uses the Augmented Auto Regressive Distributed Lag (AARDL) approach to examine the cointegration relation among the series during the period ranging from 1975 to 2017 for India within the environmental Kuznets curve (EKC) framework.

The result suggests that eco-innovation can mitigate climate change by reducing the ecological footprint. Similarly, economic growth reduces the ecological footprint in the short- and long-run. However, the square of economic growth is positive and significant. Thus, it shows evidence against the conventional EKC hypothesis. The results also reveal that remittance inflows have an insignificant negative role on the ecological footprint, while total energy consumption and trade openness harm the environment by enhancing the ecological footprint.

This study provides important implications for climate change mitigation. Thus, the government should promote eco-innovation to mitigate climate change by offering a favorable legal environment to the firms to adopt the same in their production and consumption activities. It also suggests that initiatives like green strategies should give serious attention while incurring research expenditure.

No prior studies assess the impact of eco-innovation on the ecological footprint for the period of 1975–2017 in India.

The research objectives of this chapter are threefold. First, we explore what is the current status of corporate water accounting tools and methodologies. Second, we develop a framework for analyzing corporate water accounting and reporting. Third, we investigate what French CAC 40 companies account for and report in relations to the water challenge.

We collected annual and sustainability reports from all CAC 40 companies as well as their water Carbon Disclosure Project (CDP) responses when available. We also collected all publically available corporate water accounting methodologies to assess the international water accounting field. We coded the data according to our designed framework via qualitative data analysis software.

Although water is seen as equally important to climate change (Association of Chartered Certified Accountants (ACCA), 2009), French multinationals have a very immature reporting on this topic. Most still do not report to the water disclosure questionnaire of CDP in 2014 and rely on basic figures such as global water consumption. We analyzed the multiple water accounting, reporting, and risk assessment frameworks that have mushroomed since 2000, and question the impact of this fragmented field on the maturity of the water performance reporting by French companies.

The developed framework for analysis of water reporting can be used for sustainability teaching at university level.

We developed the first comprehensive analytical framework for water corporate reporting assessment. Moreover, this research is the first comprehensive study of water reporting in Europe. We therefore contribute to extend our comprehension of corporate maturity in water stewardship and water performance reporting.

With the change in climate and increased pollution, there has been a need to reduce environmental carbon emissions. This research aims to develop a framework for reducing environmental carbon footprints to improve business performance.

This study uses Scientific Procedures and Rationales for the Systematic Literature Reviews (SPAR-4-SLR) approach. Articles are searched in the Scopus database using various keywords and their combinations. It resulted in 651 articles initially. After applying different screening criteria, 61 articles were considered for the final study.

This study provided four themes and sub-themes within each category. This research also used theories, methodologies and context (TMC) framework to provide future research questions. This study used the antecedents, decisions and outcomes (ADO) framework for synthesising the findings. The ADO framework will help to achieve carbon neutrality and improve firms' supply chain (SC) performance.

This study provides theoretical implications by highlighting the various theories that can be used in future research. This study also states the practical implications for the achievement of carbon neutrality by the firms.

This study contributes to the literature linking carbon neutrality with business performance.

The paper attempts to frame the challenge of managing the transition to a sustainable economy by way of a conceptual model consisting of a zero-footprint regulatory regime and a sustainability fund.

A conceptual model of the sustainable industrial revolution has been developed based on the learnings from industries such as originators (mining), farming, pharmaceuticals, pesticides and chemicals and long-lasting artefacts against an overall perspective.

It is suggested to have an institutional structural mechanism in place to ensure that footprint is minimized through recycling including refurbishing, resale or transformation. This includes management of recycling businesses through execution of a zero-waste regulatory regime that will build and use a sustainability fund.

The limitations of the paper are arising out of the topic being an issue of gigantic proportions with immense complexity. An attempt has been made to bring out the inescapability and the imperative of a sustainable industrial revolution.

This paper presents practical aspects such as collusion between trash and recycling businesses, land use and social aspects of criticality of public support. If implemented, the suggested model can make a paradigm shift in the way firms, industry and governments can handle the challenge of sustainability.

The value of this conceptual paper lies in an attempt to extend the learning organization framework to the concept of a regulatory model for sustainability that is not limited to the definition of a firm but stands extended to industries and to the economics, land use and demographics of the planet.

Carbon footprint assessment requires a holistic approach, where all possible lifecycle stages of products from raw material extraction to the end of life are considered. The purpose of this paper is to develop an analytical sustainability assessment framework to assess the carbon footprint of US economic supply chains from two perspectives: supply chain layers (tiers) and carbon footprint sources.

The methodology consists of two phases. In the first phase, the data were collected from EORA input output and environmental impact assessment database. In the second phase, 48 input-output-based lifecycle assessment models were developed (seven CO₂ sources and total CO₂ impact, and six supply chain tiers). In the third phase, the results are analyzed by using data visualization, data analytics, and statistical approaches in order to identify the heavy carbon emitter industries and their percentage shares in the supply chains by each layer and the CO₂ source.

Vast majority of carbon footprint was found to be attributed to the power generation, petroleum refineries, used and secondhand goods, natural gas distribution, scrap, and truck transportation. These industries dominated the entire supply chain structure and found to be the top drivers in all six layers.

This study decomposes the sources of the total carbon footprint of US economic supply chains into six layers and assesses the percentage contribution of each sector in each layer. Thus, it paves the way for quantifying the carbon footprint of each layer in today’s complex supply chain structure and highlights the importance of handling CO₂ source in each layer separately while maintaining a holistic focus on the overall carbon footprint impacts in the big picture. In practice, one size fits all type of policy making may not be as effective as it could be expected.

This paper provides a two-dimensional viewpoint for tracing/analyzing carbon footprint across a national economy. In the first dimension, the national economic system is divided into six layers. In the second dimension, carbon footprint analysis is performed considering specific CO₂ sources, including energy production, solvent, cement and minerals, agricultural burning, natural decay, and waste. Thus, this paper contributes to the state-of-art sustainability assessment by providing a comprehensive overview of CO₂ sources in the US economic supply chains.

The implementation of life cycle assessment (LCA) and carbon footprinting represents an important professional and research opportunity for chemical engineers, but this is not broadly reflected in chemical engineering curricula worldwide. This paper aims to present the implementation of a coursework that is easy to apply, free of cost, valid worldwide and flexible enough to cover such holistic topics.

An analysis of chemical engineering curricula worldwide, a literature review and the implementation of a coursework case study are detailed. The latter combines practical exercises using free LCA software, oral presentations and debates.

The coursework goes beyond the calculation of results, giving the students key transferable skills to increase their employability, such as the capacity to negotiate/discuss in groups, software learning and development of critical thinking. The course is affordable and flexible, enabling adaptation to different sectors and engineering schools. One limitation is the challenge of ensuring robustness and consistency in marking, but this has been already improved with a more explicit rubric. The feedback of the students confirms these findings, including the learning of transferable skills as the major advantage.

This paper addresses, for the first time, the current state of “life cycle thinking” teaching in the curricula of the top 25 chemical engineering schools worldwide, a literature review of previous experience and a description of a novel coursework taking a theoretical and practical approach to LCA, carbon footprinting and socio-economic sustainability via a free software and a comprehensive range of didactic activities.

Sustainability performance of the global trade as well as of the traded products are affected by the trade policies and trade tariffs. Trade tariffs and policies can either encourage or discourage trade among the countries affecting feasibility of trade. In other words, the scope and amount of these trade tariffs have impact on the trade globally. Based on an in-depth literature review, this chapter aims to examine impacts of the trade policies and trade tariffs on the environmental footprint of the global trade. With this aim, recent trade policies and trade tariffs as well as roles of the trade policies, trade tariffs in reducing environmental footprint of the global trade are examined. It arrives at the conclusion that trade tariffs can affect environmental footprint of the global trade as well as of the traded products. They can have impact on the feasibility of the trading activities influencing their profit margins and costs. Based on these findings, recommendations for trade policies and trade tariffs are thereby provided to enhance sustainability performance of the global trade.

The purpose of this paper is to explore and investigate the measurement of a carbon footprint and environmental program in supply chain management.

The study uses a case study methodology and employs the qualitative methods of interviews and document analysis to collect data on Hyundai Motors Co. (HMC) and its key first‐tier supplier, referred to here as Supplier A, in the Korean automobile industry.

The results of the study show that a key strategic action to implement carbon management is to identify and measure the carbon footprint of products and processes within the supply chain. A carbon footprint measurement framework and different levels of CO₂ adoption categories developed at HMC are presented. By monitoring and evaluating suppliers' CO₂ emissions performance, a focal company may avoid carbon‐related risk and retain competitiveness based on its supply chain.

Developing a carbon footprint measurement and evaluation program in the supply chain provides a track record to improve carbon and energy efficiency. This may lead companies to develop and exploit greater energy efficiency to tackle carbon emission challenges in the supply chain.

This paper provides academics and managers with a new approach to consider carbon management and green supply chain management.

The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries.

Initially, the economic input-output tables of US economy and carbon footprint multipliers were collected from EORA database (Lenzen et al., 2012). Then, economic input-output life cycle assessment models were developed to quantify the carbon footprint extents of the US manufacturing sectors between 1970 and 2011. The carbon footprint is assessed in metric tons of CO₂-equivalent, whereas the economic outputs were measured in million dollar economic activity.

The salient finding of this paper is that the carbon footprint stock has been increasing substantially over the last four decades. The steep growth in economic output unfortunately over-shadowed the potential benefits that were obtained from lower CO₂ intensities. Analysis of specific industry results indicate that the top five manufacturing sectors based on total carbon footprint share are “petroleum refineries,” “Animal (except poultry) slaughtering, rendering, and processing,” “Other basic organic chemical manufacturing,” “Motor vehicle parts manufacturing,” and “Iron and steel mills and ferroalloy manufacturing.”

This paper proposes a state-of-art time series input-output-based carbon footprint assessment for the US manufacturing industries considering direct (onsite) and indirect (supply chain) impacts. In addition, the paper provides carbon intensity and carbon stock variables that are assessed over time for each of the US manufacturing industries from a supply chain footprint perspective.