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This paper aims to focus on the effect of Sorghum bicolour on the quality characteristics of chevon cutlets and to evaluate the effect of clove oil on the storage quality of aerobically packaged chevon cutlets.

Three levels of sorghum flour, namely, 2, 4 and 6 per cent, were incorporated in the formulation, and the products developed were assessed for various physicochemical, sensory, texture and colour parameters. Chevon cutlets containing optimum level of sorghum flour were treated with clove oil (100 ppm) and evaluated for storage quality for 15 days under refrigerated conditions (4 ± 1°C). The products were analysed for various physicochemical, microbiological and sensory parameters.

Crude fibre, texture parameters, i.e. hardness, adhesiveness, springiness, cohesiveness, chewiness, gumminess and product redness value, showed significant (p < 0.05) increasing trend, whereas moisture per cent, fat content and overall acceptability decreased significantly (p < 0.05) with increasing levels of incorporation. Chevon cutlets containing 6 per cent sorghum flour were optimized as best. Thiobarbituric acid-reactive substance value (mg malonaldehyde/kg), total plate count (cfu/g) and psychrophillic count (cfu/g) showed a significant increasing trend (p < 0.05), whereas all the sensory parameters decreased significantly (p < 0.05) with increasing days of storage. The products were successfully stored for 10 days under refrigerated conditions (4 ± 1°C) without marked loss in quality.

The paper has demonstrated the potential of sorghum as a fibre source in the development of designer chevon cutlets and effect of clove oil on the storage quality of aerobically packaged chevon cutlets.

The purpose of this study is to produce spent hen tikka of improved quality attributes using lemon juice and ginger extract marination.

Three experimental groups were made: control group, 20 per cent lemon juice marinated group (LM) and 50 per cent ginger extract marinated group (GM). Boneless spent hen breast meat was cut into small cubes of one inch with the help of knife and kept in marinade solution in ratio of 2:1 w/v at 4 ± 1°C for 16 hours in a refrigerator. Chicken tikka was prepared using an electric oven at the temperature of 240°C for 20 minutes.

There was a significant (p < 0.05) increase in moisture content and water holding capacity of LM and GM marinated chicken tikka, whereas protein, fat, ash, cholesterol content and shear force values were significantly (p < 0.05) decreased. pH was significantly (p < 0.05) higher in GM and significantly (p < 0.05) lower in LM compared to control for chicken tikka.

Future research may be carried out to assess the effect of lemon juice and ginger extract marination on mineral content and lipid profile.

Marination of meat with LM and GM improved the sensory scores and textural properties, whereas fat and cholesterol content of chicken tikka decreased. Therefore, marination of chicken tikka with LM and GM may be used as processing technology to improve quality attributes of spent hen tikka.

The purpose of the present work is identification and prioritization of barriers to Lean Six Sigma (LSS) implementation in Indian manufacturing industries in the context of Industry 4.0 (I4.0) to surmount the impediments in the path of successful implementation.

In total, 27 barriers identified through critical review of literature and expert's opinion are evaluated with Cronbach's alpha values including item-total correlations or corrected item-total correlations (CITC) using statistical tool. Finally, 20 barriers were analyzed and ranked employing Fuzzy Analytical Hierarchy Process (FAHP).

The study depicts that “Lack of leadership, advisory and monitoring,” “Lack of clarity about economic benefits” and “Lack of integration of LSS with smart tools/I4.0” are potential barriers to drive the path for proper implementation of LSS in Industry 4.0 with due consideration of its technologies in Indian manufacturing industries.

The study provides better knowledge platform for academicians and researchers about hidden aspects of LSS implementation barriers in view of advanced manufacturing technologies. This research will help the practitioners to design their business plans in implementing new quality improvement tools to get advantage in current competitive environment.

The barriers are selected based on literature and opinion from industry and academic experts. Five major criteria are decided after incorporating inputs. The ranking of the barriers is attained by well standard mathematical technique. This will enable the practitioners to design strategies to eliminate the hindrances in order to shape the right path for effective implementation of LSS approach in view of advanced manufacturing technologies.

The purpose of this paper is to develop and validate an extended Define-Measure-Analyze-Improve-Control (DMAIC) based framework through a case study of an Indian fasteners manufacturing organization.

Research methodology is established on the development of the existing DMAIC framework through an extensive literature review of 25 LSS/DMAIC based frameworks and discussions held with practitioners. This paper also depicts a case study of Indian manufacturing organization for validation of the developed framework.

The study proposed an extended DMAIC based framework for effective implementation of Lean Six Sigma (LSS) methodology. Furthermore, this framework has been implemented successfully in the Indian manufacturing organization and showed encouraging results. The in-house rejections of Nut Cylinder Head (NCH) were brought down to 966 from 2910 PPM and sigma level was improved by 0.40. The case organization has achieved significant improvements in the process capability, customer satisfaction, and cost savings of US$ 0.25 million in one financial year. Intangible benefits like improvements in employee's morale, communication, housekeeping and decision-making capabilities were also observed significantly.

The proposed DMAIC based framework has been implemented successfully in the Indian case organization, and the results will enable the policymakers, specifically practitioners, to strategically leverage the resources for successful implementation of the LSS in healthcare, aerospace, service sectors etc.

This research develops a DMAIC based framework which can be used to implement LSS effectively in different industries. Moreover, the pre (initial/introduction) and post (validation/verification) implementation phase provides the top management, an edge to think strategically into broader improvement areas.

This paper aims to quantify the trend of variables used for building a theoretical model with the help of analysing bibliometrics data of inventory management (IM) and Total Quality Management (TQM) practices and their effects on firm performance.

Scopus' research database and the Web of Science (WoS) (including Elsevier, Emerald Group Publishing, Taylor and Francis, Wiley, IEEE, Informs and SAGE) were used to find relevant articles. The articles, review papers and conference proceedings were screened from 1993 to 2021. The articles were analysed to explain the different types of IM practices, TQM practices and their effect on the firm's performance. Thematic analysis was done using a bibliometric package of “R” (Biblioshiny) and VOSviewer to identify the key trends, approaches and research agenda.

The research covered 28 years of publications and summarised 497 articles, review papers and conference papers. Researchers concluded that IM highly correlates with the inventory turnover ratio and has no relation to firm performance. Further, TQM positively affects firm performance, but integrating IM and TQM will be a research scope for future study as none of the researchers previously covered this.

Due to the systematic literature review (SLR) and Bibliometric review, the study is limited to the Scopus and WoS (including Elsevier, Emerald Group Publishing, Taylor and Francis, Wiley, IEEE, Informs and SAGE) databases.

Being the research on a bibliometric and systematic review, relating IM practices with TQM practices would be the novelty of this paper.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

The purpose of this paper is to examine the market structure and value chain of pearl millet grain and fodder in India. There is a decline in demand for human consumption, with an increase in demand for non-food uses like cattle and poultry feed, raw material for starch and breweries industry. This paper explores alternative channels, uses and value chains of pearl millet grain and fodder. The paper examines in what ways small farmers can benefit from the evolving alternative uses for pearl millet grain in cattle and poultry feed industry, breweries and starch industry. The paper also analyses the impact of aggregators in increasing the efficiency of the value chain.

The study collected primary data from farmers, traders, commission agents and exporters and importers with innovative marketing channels with aggregators (Self-Help Groups) and without aggregators to analyze the prospects for improvements in marketing channels and value chain.

Given that the production of pearl millet is scattered and thin, there is a lot of scope for market aggregators to increase scale economies to reduce market costs to supply in bulk to food and industrial uses. Although there was some demand for human consumption high-quality grain, most of the future demand will come from cattle and poultry feed industry, breweries and starch industry. To tap these larger potentials, farmers need to aggregate their produce and ensure regular supply in bulk quantity at least to compete the cost with alternative grains like maize and broken rice.

The research is based on the field-level data collection and observations obtained from Western India. This paper provides insights how the value chain of pearl millet is working and what improvements are needed to make value chain more efficient and inclusive. Although the results are applicable to similar neglected crops and area, more caution is needed.

Through the formation of farmer aggregators, farmers can enhance their bargaining power vis-a-vis industry.

Till now, there is no study that explored the pearl millet value chain in detail in India, and the paper tries to fill this literature gap.

This paper aims to understand the Return on Investment (ROI) of academic libraries. It shows different aspects of returns on investment from academic libraries (ROI concept, components, calculating ROI). The study helps the academic libraries to know the efficiency, performance and achievement in terms of students, research scholars, teachers and staff should be enhanced to increase returns on library investment.

This research paper discusses various formulas for calculating ROI from the academic library, like the general ROI formula, the concept of origin ROI's formula and models. However, the study set forth some of the limitations. The study is limited to the ROI analysis of academic Libraries. It is believed that study may be helpful to the libraries to understand the concept of return on investment to offer better library services.

The study helps understands the concept of return on investment from academic libraries and services. In times of economic crisis and budgetary constraints, Library Advocacy needs to determine the economic value of resources in institutions to assist in decision-making. This paper presents more extensive study aimed at recognizing the importance of academic libraries. The economic and social pressure to affirm the position of libraries in academic libraries depends on demonstrating their importance, especially in terms of return on investment. Though it is important to get insight into returns, it has several challenges which are outlined and discussed.

This research can also be useful in decision-making, library collection development and system analysis of the institutional library. ROI presents an essential parameter for increasing the ranking system of the institution. ROI is considered the most important metrics for evaluating the value of libraries is the return on investment.

Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis.

This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts.

An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power.

The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry.

The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers.

A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.

Energy-efficient retrofitting of existing buildings is an inexpensive way of reducing energy consumption and mitigating climate change impacts. The purpose of this study is to examine electricity savings and carbon dioxide (CO₂) emission reduction potentials of energy-efficient retrofit measures for surveyed two large shopping malls in India.

A techno-economic model was developed to estimate the electricity savings achieved due to energy-efficient retrofit measures in shopping malls that were surveyed in 2017. Alternative scenarios were constructed based on capital cost and cost of conserved energy (CCE) value for retrofit measures: cheapest replacement, best available technology and best value for money. The life-cycle electricity and CO₂ emission savings and payback period for end-use retrofit measures were evaluated.

The estimated average electricity savings were around 39–56% for various retrofit measures across all three scenarios while the average CO₂ emission reductions were around 50–125 kt-CO₂. Retrofits to light-emitting diode lights and air conditioners with inverter technology offered more life-cycle electricity savings. Paybacks for most lighting end-use measures were estimated to be within 1.5 years while for most space conditioning end-use measures were between 1 and 4 years.

The primary survey-based comprehensive research makes an exclusive contribution by estimating life-cycle electricity savings and CO₂ emission reductions for energy-efficient retrofit measures of lighting and space cooling end-use appliances for existing shopping malls. The present research methodology can also be deployed in other types of commercial buildings and in residential buildings to estimate electricity savings from energy-efficient retrofit measures.