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The waste of invaluable agri-food produce is the concern of United Nations Organisation and all countries across the world. The purpose of this paper is to identify and model the drivers of agri-food waste management in India.

The interpretive structural modelling method is used to model the drivers in this study. This method helps in understanding the driver-dependent relationships among various drivers/criteria which are selected for studying.

The findings of the study vividly shows that the drivers such as disaster management planning, information dissemination, and training and awareness programs for farmers are most vital for tackling the issue.

This work would help the policy makers in developing the effective policies regarding the management of agri-food waste in a sustainable manner.

This work would be very helpful for deeply understanding the causes of occurring waste and carefully handling it scientifically with a managerial perspective. Hence, it has the potential to reduce the generation of waste and saving the food for society.

With the help of this study, the people, society, and underprivileged will be benefited directly. The savings in agri-food waste will not only help in controlling the prices of it but also its more availability would be beneficial for all in beating the hunger.

The identification of drivers for the sustainable management of agri-food is the novelty of this research.

The purpose of this paper is to explore the dynamic relationships among the essential knowledge management (KM) constructs, i.e. strategy, enablers and processes, and to establish their links to organizational performance using a holistic integrated model.

The structural equation modeling approach was used in the research study. The primary data were collected from IT managers in Indian software firms.

The study successfully tested an integrated KM model in an Indian scenario. The study found that the KM strategy, enablers and processes had a significant positive relationship with the organizational performance. An appropriately designed KM strategy significantly influenced the KM enablers and KM process. KM enablers nurtured in an organization positively impacted the KM process. Furthermore, the KM process partially mediated the relationship between the KM strategy and organizational performance, and partially mediated the relationship between KM enablers and organizational performance.

This study is one of the few to empirically establish how the essential KM constructs of strategy, enablers and processes together impact organizational performance.

With rising income and changing lifestyle, increased disposable income along with rapid urbanization is boosting the country’s biscuit market. The purpose of this paper is to represent the implementation of Kaizen in a biscuit-manufacturing unit of Imperial Tobacco Company (ITC). Although the concept of Kaizen is not a standard practice in India, the company chosen for the case study has a prominence in the Indian market.

The methodologies that have been applied to implement Kaizen in the ITC are discussed. Why-Why techniques, fishbone diagram, failure modes and effects analysis, ABC analysis have been used to study cause and effects.

It was found that the yield was increased from 88.3 to 92.2 percent, which was a significant change, as far as the product line is concerned. The product complaints were reduced to zero with an added increased product quality rating system to 98.2 from the existing rating of 96.7. The product consistency was also improved as an application of Lean in the manufacturing process.

This case study is restricted to the manufacturing sector, especially in the field of biscuit company.

The paper should assist those practitioners and consultants who have the desire to find a better way of Kaizen implementation in small-scale industries of India. The academia can also use this case study for a better understanding of the difference between the theoretical and application aspects of the concept.

This paper is an original contribution in the existing body of literature. It shows the application of Kaizen in the manufacturing sector in India.

Railway transport being a “service” is provided in a space and time dimension. Providing a better quality of service requires higher inputs, so evaluating the performance without these considerations would give a biased result. The purpose of this paper is to assess the performance of the rail transport service by including the service delivery perspective of railways and look at the holistic concept of service delivery. The quality of service parameters have been chosen within the constraints imposed by availability of data and the formulated data envelopment analysis (DEA). The quality of service parameters include: punctuality; the level of consequential train accidents (safety); and the level of public complaints (customer satisfaction). It evaluates the performance of 16 zones of Indian railways (IR) on the basis of their efficiencies and identifies the exemplar zones. The results deduced from these studies can serve as performance targets in reward systems, performance scorecards, and control systems.

DEA has been used as a benchmarking tool to evaluate the relative efficiency of the 16 zones. The input parameters are working expenses, number of employees, and equated track kilometers and the output parameters are loading of revenue, punctuality, passenger traffic kilometers, consequential train accidents, and public complaints. Malmquist index has been used to determine the temporal performance of each zone.

IR can use DEA to assess the performance of various zones and for improvement monitoring in the context of being a transport service provider. Inefficient zones can identify the parameters for improvement across the zones and along the time dimension. A huge working force for all the inefficient zones indicate over deployment of resources, which can be seen at the policy level. A redundancy for equated track kilometers indicates a non-optimum use of resources. Not giving enough importance to service quality could be one of the major findings of the inefficient zones.

The scope of the quality of service variables assessed could not be enlarged in this study because of the limitation of the number of variables that can be chosen for a given number of decision-making units in the model. It is not always possible to compare each zone on an exactly equal basis as the work culture and challenges differ across zones, units, regions, and states which poses a limitation to the study.

The holistic evaluation of performance of IR by inclusion of the service parameters can have important implications for the industry. The choice, incorporation, and interpretation of the parameters of this study can be adopted for rail transportation industry. This also summarizes the essence of performance and quality of service in public rail transport sector.

The global public transport sector, and the rail mode in particular faces the challenge of identifying, and using appropriate service quality indicators and financial parameters to ascertain the efficiency and effectiveness of the transport system, rather than considering financial parameters alone. The context of this study is IR which is an engine for the continued socio-economic development of India. The overarching constraint is that the inputs are already established. Within this socio-economic contextual framework the analysis has been done to have an efficient and effective public transport system.

This is the first study which incorporates the quality of service dimensions in performance measurement and benchmarking of the railway zones that make up a national railway system which is under public domain. Each of these characteristics offers its unique challenges and dimensions which makes the problem complex.

Technological modernization is increasingly viewed as a premeditated necessity in today's era of growth and prosperity for any country. Telecommunications has entered a new age of development with advanced technology and increased competition with established players. The technological advances in the telecommunication sector are associated with an uninterrupted growth of the mobile sector. The prime focus of the service providers is to create a loyal customer base by benchmarking their performances and retaining existing customers in order to benefit from their loyalty. The paper aims to address these issues.

This paper employs the method of data envelopment analysis (DEA) to compare the relative efficiency of mobile service providers in India. The identification of the strongest and the weakest service providers could be very useful in improving their efficiency and performance. Mathematically, DEA determines the best weights for each input and output for a particular unit under study so as to maximize its relative efficiency.

The results are insightful to the telecom policy planner as benchmark them in terms of their efficiency. It also identifies the inefficient service providers who can improve their efficiency by making the efficient providers as their role model. The paper also identifies some generic insights.

This research paper contributes to the literature in two ways: firstly, this research identifies the different parameters for the mobile service providers in India for the benchmarking of the service providers. It also categorises them into various input and output parameters contributing towards the number of subscribers for different service providers. In the next stage, this research takes a further step and examines whether there are differences between the number of subscribers and the performance of the service providers. Benchmarking of the service providers would depend on the efficiency and quality of service. There is still great diversity in the relative performance of various service providers, which is a matter of concern to the telecom planner in this country.

This paper is one of the few published studies that benchmark the performance of Telecom Services in India.

The recent expansion in tertiary education in India, an increased student enrollment as well as global competition have created a challenge for the existence of the institutes. It has been realized that a quality of service is associated with customer satisfaction and it is one of the key points for survival for any organization as it minimizes the various risks associated with an organization. The purpose of this paper is to present the results of an empirical study conducted to obtain the impact of various academic systems on student's satisfaction across the institution. Second, it focusses on minimizing various risks by providing an optimum combination of parameters of different academic activities.

This empirical research investigates customer satisfaction on support services of academic process and focus on minimizing various risks by finding an optimum combination of parameters of academic activities.

It identifies the levels of sensitivity of the various factors affecting the academic process of technical education that might influence the management to design the technical curricula to increase student's satisfaction.

The study demonstrates the impact of statistical process control (SPC) and Taguchi parameter design to monitor the academic process of the institution and finding an optimum condition of the various parameters involved with the process, which would maximize customer satisfaction across the institution. The result suggests that this approach may add more value to both academics and practitioners.

It is an original contribution to integrate SPC and Taguchi robust parameter design in assessing customers’ satisfaction in Indian scenario.

Utilizing data envelopment analysis (DEA), this paper seeks to examine the performance of 20 Indian B‐Schools, separating their profitability and marketability. The technique allows one to identify those management institutions which are able to utilize their resources in a most efficient way such that the overall goals of the organization are satisfied and total outcome maximized. If a management institution means to be effective in developing professionals who are going to be competent leaders and managers, then it would be useful to know the performance of the management institutes. However, measuring the performance of management institutes has received very little attention compared with other industries because it is difficult to measure its output.

A DEA model is used to evaluate the relative efficiency of a group of decision‐making units (DMUs) in their use of multiple inputs to produce multiple outputs where the form of production is neither known nor specified as in the case of parametric approach.

The paper ranks management institutes from various points of stakeholders. The main findings are how much of the benefit from ranking of the B‐Schools is credited because of its efficiency in converting the inputs to outputs. Does the ranking of any institution depend on scale of operations (scale efficiency) or is it only based on technical efficiency? Technical efficiencies are identified with failures to achieve best possible output levels and/or usage of excessive amounts of inputs.

As Indian management schools widely publicize job offers with six figure salaries, managerial value addition, national ranking etc. provide an important impression about the management institutions. However, the reported results of experiments on input and output measures do not seem to differ between the ten best run institutes and the next ten institutes in terms of scale efficiency.

The paper is one of the few written from the Indian perspective.

The purpose of this paper applies to Indian steel manufacturing industries to evaluate the technical and scale efficiency (SE).

Data envelopment analysis (DEA) has been employed to calculate the relative efficiency of the steel manufacturing units. The selection criteria for the inclusion of a steel manufacturing unit in the analysis has been annual income of more than 50 crores and units manufacturing pig iron, steel and sponge iron. Within the DEA framework, the output-oriented model with constant returns to scale and variable returns to scale were studied. Four input variables, namely, gross fixed assets, total energy cost, total number of employees and currents assets were considered. Among the output variables, the four variables considered are income, sales, PBIT and PAT.

The result of the efficiency scores have been categorized into three parts. The pure technical efficiency represents local efficiency and the reason of inefficiency is due to inefficient operations. Technical efficiency indicates that the respective decision-making units are globally efficient in case the efficiency is 100 per cent. The SE explains that the inefficiency is caused by disadvantageous conditions. As the result shows, that public sector undertaking (PSUs) are operating under disadvantageous conditions as compared to private manufacturing units. One of the possible reasons of location disadvantage condition is manufacturing units for PSUs are scattered throughout India. Some of the units are located in such places where, the raw material, supply chain could be difficult. It has been found that 45 per cent of the private manufacturing units are technically as well as scale inefficient units.

The result of the study would benefit the steel industry to develop a performance benchmarking as steel companies must be profitable in the long term to ensure sustainable achievements.

This is an original study to apply DEA to get insights on productivity efficiency of the steel manufacturing units in India. Though the manufacturing units were selected on the basis of annual income, the analysis of productivity does not reflect any impact of income on the efficiency of the manufacturing firms.

The purpose of this paper is to understand the relation among the various enablers of Clean Development Mechanism (CDM) to know their degree of dependence and driving power. As there has been non-agreement among the various stakeholders regarding the benefits of sustainability brought about by CDM, this paper explores the viability of sustainable development in the Indian scenario.

This paper discusses a model to address the issues of sustainable development in the context of CDM. An interpretive structural model (ISM) has been used to model the various parameters of sustainable development in the Indian context. The relevant parameters have been considered as per the existing literature review.

The result shows that sustainable development is achievable if the nation emphasizes on strategic goals and mission because sustainable development is driven by the strategic parameters such as “employment creation” and “long-term economic goals”.

The ISM model developed is not statistically validated, therefore structural equation modeling (SEM), also commonly known as the linear structural relationship approach, may be used to test the validity of such a hypothetical model.

The government of India has to emphasize on education and inclusive employment to improve the quality of life, which would enable the sustainable development to be achieved.

This paper describes one of the few empirical studies conducted in India.

The purpose of this paper is to identify the relevant enablers and barriers related to technical education. It seeks to critically analyze the relationship amongst them so that policy makers can focus on relevant parameters to improve the service quality of technical education.

The present study employs the interpretive structural modeling (ISM) approach to model the crucial parameters of technical education. The parameters discussed are categorized under “enablers” and “barriers”. The enablers would help policy makers to improve and develop the curriculum of the technical education and the identifying barriers would help the decision maker to improve upon those variables.

The major findings of this study are to prioritize the strategic parameters in reducing the risks associated with technical education. The model also proposes a hierarchical structure classifying the parameters as drivers and enablers.

The study proposes a scientific way to model the enablers and barriers to become a progressive institution in the emerging era of globalization and modernization. This would help to prioritize the issues as the enablers and barriers are hierarchically structured and categorized.

The paper maps out a course of action and the adoption of the proposed framework would provide a competitive edge for India over others. Also, the various stakeholders would be satisfied, which would be beneficial for the system as a whole.

The application of ISM to the decision making process is the unique feature in the field of technical education in India. The integrated framework of policy related parameters would contribute towards overall growth and development.