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It is difficult for anyone to implement all the lean tools simultaneously. One of the core issues is identifying critical criteria for the successful implementation of lean manufacturing (LM) and evaluating them. The purpose of this paper is to analyze the causal relationships of LM criteria in a machine tool manufacturing firm located in national capital region of India using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

The research paper presents a blend of theoretical framework and practical applications. Based on literature review, 17 LM criteria were extracted that were validated by experts. A questionnaire was developed that was answered by experts serving in the XYZ machine tool manufacturing firm. Then, the DEMATEL method was applied to analyze the importance of criteria and the casual relations among the criteria were developed.

Using DEMATEL, the lean criteria were divided into cause group and effect group. In this study, information technology, computer-integrated manufacturing, enterprise resource planning, training, fixed position layout, smart processes and automation and concurrent engineering were classified in the cause group. Just in time, value stream mapping, 5-S, single minute exchange of die, visual control, job scheduling, standardized work, cellular manufacturing, poka-yoke, and total quality management were categorized in the effect group. The DEMATEL framework indicates that “training” is the most influencing factor for the lean implementation process in machine tool sector.

To know the key lean criteria and relationship among them can help many organizations to develop lean competencies. If the authors want to obtain high performance in terms of the effect group factors, it would be necessary to control and pay a great deal of attention to the cause group factors beforehand. This study is perhaps among the first few with focus on segmenting the set of lean criteria into some meaningful portions in order to effectively facilitate its implementation. The paper provides useful insights to the lean production implementers, consultants, and researchers.

The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods.

Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis.

These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability.

The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners.

The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

Neglected tropical diseases (NTDs) are a set of infectious diseases that primarily affect low-income countries situated near the equator. Effective diagnostic tools hold the key to stemming the spread of these infectious diseases. However, specificity is a major concern associated with current diagnostic protocols. In this regard, electrochemical deoxyribonucleic acid (DNA) biosensors could play a crucial role, as highlighted by renewed interest in their research. The purpose of this study was to highlight the current scenario for the design and development of biosensors for the detection of NTDs related pathogens. This review highlights the different types of factors involved and the modifications used to enhance sensor properties.

The authors discuss the potential of electrochemical DNA biosensors as efficient, affordable diagnostic tools for the detection of pathogens associated with NTDs by reviewing available literature. This study discusses the biosensor components, mainly the probe selection and type of electrodes used, and their potential to improve the overall design of the biosensor. Further, this study analyses the different nanomaterials used in NTD-based electrochemical DNA biosensors and discusses how their incorporation could improve the overall sensitivity and specificity of the biosensor design. Finally, this study examines the impact such techniques could have in the future on mass screening of NTDs.

The findings provide an in-depth analysis of electrochemical DNA biosensors for the detection of pathogens associated with NTDs.

This review provides an update on the different types and modifications of DNA biosensors that have been designed for the diagnosis of NTD-related pathogens.

The purpose of this research paper is to identify the enablers for Lean implementation in the manufacturing sector, to establish a relationship among them using interpretive structural modeling (ISM) and to rank them using interpretive ranking process (IRP).

The research paper presents a blend of theoretical framework and practical applications. In the paper, eight enablers of Lean production are identified from literature survey and experts’ opinion. These include 5S, value stream mapping (VSM), just in time, single minute exchange of die, computer-integrated manufacturing, concurrent engineering, training and enterprise resource planning. ISM is used to obtain a structural relationship among these enablers of Lean. MICMAC analysis is used to identify the driving power and dependence of the variables. Further, IRP is used to rank the lean enablers with respect to key performance areas.

The ISM- and IRP-based models indicate that “training” is the most significant factor for the Lean implementation process in manufacturing sector. The MICMAC analysis also shows that “training” has the maximum driving power and the least dependence and hence has strong managerial significance. The management should place high priority on tackling this criterion. VSM occupies the top level in the ISM hierarchy, indicating that all other Lean enablers should act in unison to make VSM implementation a success.

Enablers are the building blocks for deployment of the Lean concept. To know the key enablers and relationship among them can help many organizations to develop Lean competencies. This study is perhaps among the first few that focuses on two modeling procedures based on interpretive logic, i.e. ISM and IRP. The paper provides useful insights to the Lean production implementers, consultants and researchers.

The purpose of this paper is to investigate the impact of lean production practices on performance measures in machine tool industry and determines the lean criteria that can have significant positive impact on performance.

The research paper presents a blend of theoretical framework and practical applications. Extant literature was reviewed and to achieve the research objectives, an exploratory survey was carried out in machine tool supply chains located in the national capital region of India. Reliability test, factor analysis and stepwise multiple regression analysis bring out several lean criteria that can affect key performance measures.

It was found that two lean criteria, namely, strategic partnership with suppliers and cross-functional cross-organizational design and development teams significantly influenced most of the key performance measures. Some lean criteria were found to negatively affect the overall competitive potential of machine tool firms.

The findings can encourage the management of non-adopter firms to adopt lean thinking and to select the lean production criteria that can be implemented to have significant positive impact on key performance indicators in machine tool value chains. This study is perhaps among the first few that focus on machine tool industry in India. The paper provides useful insights to the lean production implementers, consultants and researchers.

The purpose of the study is to investigate the factors responsible for the utilisation of safe motherhood practices under the Government of India (GOI)-run maternal health programme Janani Suraksha Yojana (JSY).

Data for the survey were collected from 435 expectant mothers registered under JSY from seven districts of western Uttar Pradesh, India. Based on the existing theories of behaviour change and the social marketing framework, a model of antecedents of adoption of safe motherhood practices was tested out empirically.

The results suggested that controlling for demographic variables such as age, education, number of children, intention to follow safe motherhood practices, maternal health self-efficacy, attitude towards safe motherhood, life satisfaction and facilitating conditions all contributed towards the adoption of safe motherhood practices. However, facilitating conditions moderated the relationship between intention to follow safe motherhood practices and adoption of safe motherhood practices.

The study focused only on maternal health, excluding child health under JSY.

The study findings suggest that social marketers should focus on the individual (micro)- as well as programme (macro)-level factors to bring about systemic behaviour change.

The adoption of safe motherhood practices will result in a reduction of the maternal mortality rate. This will improve the overall health of mother and child.

The JSY programme is targeted at promoting safe motherhood practices among poor women in the reproductive age group from India. The adoption of safe motherhood practices will result in less maternal mortality and contribute to the well-being of the family.

Information Systems – IT Strategy Design and Implementation.

The case can be discussed in Marketing Management courses and IT Strategy classes in MBA, executives from NGOs who are participating in Management Development Programs, etc. It can also be used in entrepreneurship classes. The case serves as an illustration to entrepreneurship projects, and so this case can be discussed in training program for budding entrepreneurs intending to implement cloud in its IT infrastructure.

E-commerce is big nowadays in India. In e-commerce, particularly e-tail in India is witnessing a boom with players reporting achieving revenue targets earlier than anticipated. Though e-tail sites are now ubiquitous and dime a dozen with multiple offerings or specialized offerings, the e-grocery model is yet to take off on a large scale across India. E-grocery model has its unique challenges on both supply as well as distribution side unlike other e-tail business. As it deals with perishable items, it faces challenges in supply chain, procurement, inventory management, cold storage management, quality and logistics. To solve such problems, high degree of localization is needed for players in this business. It requires them to open up multiple warehouses at strategic locations in a city if they decide to have control over the goods they sell. Start-ups in this space face the problems in monitoring inventory levels across warehouses where they use disparate Point of Sales (POS) systems. There is a lack of synchronization among the POS applications across the warehouses for which they are able to take the benefit of economies of scale during procurement and distribution. Also, they face stock out and excess inventory across stock keeping units (SKUs). To solve this problem, a strategy is needed so that they can maintain data for all its warehouses through a single database and also by which they can scale up easily and at a lower investment without disturbing continuity in business.

Following are the learning outcomes: to learn about the business model and market ecosystem of an e-tailing business dealing in grocery items in a tier-II city in its introduction phase of organizational life cycle, to learn about various processes involved in online ordering of an item from an e-commerce website, to understand the various challenges faced by an organization dealing in e-tailing business in its introduction phase and to find out whether IT Strategy can be of help to overcome these challenges, to have an understanding of the Balance Score Card and Departmental Score Card, to understand how cloud can be of help to overcome the challenges and what are the possible cloud architectures to address such problems, to get an idea about how return on investment can be measured for finding feasibility of investment in cloud and to have the understanding of risk associated with implementing cloud and the cost of mitigating those risks.

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CSS:11 Strategy.

Every company or manufacturing system is vulnerable to breakdowns. This research aims to analyze the role of Multi-Agent Technology (MAT) in minimizing breakdown probabilities in Manufacturing Industries.

This study formulated a framework of six factors and twenty-eight variables (explored in the literature). A hybrid approach of Multi-Criteria Decision-Making Technique (MCDM) was employed in the framework to prioritize, rank and establish interrelationships between factors and variables grouped under them.

The research findings reveal that the “Manufacturing Process” is the most essential factor, while “Integration Manufacturing with Maintenance” is highly impactful on the other factors to eliminate the flaws that may cause system breakdown. The findings of this study also provide a ranking order for variables to increase the performance of factors that will assist manufacturers in reducing maintenance efforts and enhancing process efficiency.

The ranking order developed in this study may assist manufacturers in reducing maintenance efforts and enhancing process efficiency. From the manufacturer’s perspective, this research presented MAT as a key aspect in dealing with the complexity of manufacturing operations in manufacturing organizations. This research may assist industrial management with insights into how they can lower the probability of breakdown, which will decrease expenditures, boost productivity and enhance overall efficiency.

This study is an original contribution to advancing MAT’s theory and empirical applications in manufacturing organizations to decrease breakdown probability.

The purpose of this paper is to contribute to the existing knowledge system of lean supply chain management (LSCM), i.e. by using main path analysis, and the authors extract the main development track of LSCM. It is advantageous for relevant scholars to deepen their understanding of this academic field from a bibliometrics view to grasp the future directions better.

Structuring a citation network with the processed data set containing 866 papers and relevant information collected from Web of Science (WoS). Conducting review analyses aiming at the main paths that are extracted from the above citation network.

There are two different evolution paths in LSCM field, i.e. improving corporate sustainability performance through combining lean and green practices, and seeking the balance between lean and agility to structure leagile supply chain for specific industries. LSCM research studies mainly focus on five aspects: (1) establishment and development of LSCM theory; (2) structuration of lean supply chain; (3) research studies of the relationship between LSCM and corporate performance; (4) supply chain evaluation system; and (5) review and vista of LSCM field. The intersection of two knowledge evolute routes would be Industry 4.0, which is an integrated theory system combining lean, agility, green and other supply chain thinking.

The data set collected from WoS cannot contain all the research studies about LSCM is the main research limitation. Sustainability, as represented by environmental performance, will continue to be a major pursuit of this field. Integrating LSCM in Industry 4.0 will be the next hotspot in LSCM field.

Providing the main research contents and common methods of LSCM field. It is conducive to deepening the understanding of relevant practitioners and scholars to LSCM field from a dynamic perspective.

To the best of the authors’ knowledge, it is the first time to reveal the knowledge diffuse trajectories of LSCM under different view with main path analysis. This study is unique that it provides a new view to understand the field of LSCM.

The purpose of this case study is to understand effect of Indian ethos, socio‐cultural setup, etc. on growth of family‐based business; impact of ethnicity and genetic intelligence on development of entrepreneurial traits, etc. in family business contexts in India.

The approach takes a single case study on an organized retail firm named Bothra Megabazar Private Limited in Rourkela, India to comprehend the established theories and literature on emergence and spread of business community/class in India known for its own ethos and values as a country. As a part of narrative enquiry method in qualitative research, it collects the narratives of central and peripheral characters in the respective business house through “story telling” and by “restorying” the same, understands and explains the family‐based entrepreneurial journey amidst business dynamics.

The important findings of this case study are manifold. It finds that there is inter‐connectedness of different aspects amounting for success/growth of family business entrepreneurs and enterprises. Some of these factors are deep‐seated Indian ethos and values, multiple family and social networks, joint and undivided family structure, inheritance of family business down the generations, financial backing from members of family and social networks, long standing experience in trade, genetic intelligence across generations, internal capacity building with unique style of leadership and high‐risk appetite, etc.

With its focus on one specific community like Bani(y)as or Marwaris in Indian business society, the case may not justify the understandings on genetic intelligence in case of other communities/class. However, the study elaborates scope of future studies in the same direction.

Practicing managers and research scholars can use this case for understanding of the key success/growth factors behind socio‐culturally guided family‐based business enterprises.

The paper presents a case that is original.