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The purpose of this paper is to map the causal relations among various supply chain flexibility (SCF) dimensions having significant impact on the Indian personal hygiene industry.

The author(s) have gone through extensive literature review and extracted 22 SCF dimensions. After conducting field visits and expert interaction in the firm related to case industry, 11 major SCF dimensions that seem to have a significant amount of influence on supply chain performance of the firms were retained for further consideration. The author(s) have used decision making trial and evaluation laboratory (DEMATEL) to establish initial causality and structural equation model (SEM) to investigate the contribution of different flexibility dimensions on overall SCF.

After DEMATEL analysis, three major SCF dimensions were considered for SEM modeling. The result shows that product flexibility and physical distribution flexibility have favorable influence on the SCF, while the demand management flexibility adversely impacts overall SCF.

The approach adopted in the study can help firms to determine and exercise the flexibility dimensions of a particular supply chain. The DEMATEL and SEM offer a facilitation to explain the causal relationship between the different dimensions to take long-term decisions and address the uncertainty in the demand and supply side.

This paper has made an attempt to evaluate the supply chain flexibilities, prioritize them and evaluate the relationship amongst these flexibilities and the degree to which they affect or are affected by one another in the Indian personal hygiene industry.

The purpose of this study is to quantify the supply chain flexibility for an Indian soap manufacturing firm and to measure its performance. The authors made an attempt to find key strategic and operational decision-making dimensions for developing effective supply chain flexibility environment.

The authors have extracted 11 supply chain flexibility dimensions through extensive literature review. The authors used a decision-making trial and evaluation laboratory (DEMATEL) to make causal analysis and prioritizing the dimensions. After DEMATEL analysis three major supply chain flexibility dimensions that seem to have significant amount of influence on supply chain performance of the firms were retained for further consideration. The authors have developed an excel-based template for quantitative assessment of flexibility performance indicators.

This study provides key enablers for the successful implementation of flexibility concepts in Indian soap manufacturing firms and gives a view how to measure the performance through designing template based on real data. This template can be used in other firms also by simply modifying the key attributes.

A flexibility index has been defined here with the purpose of assessing the level of flexibility vis-a-vis what is desired and is meant to be evaluated from time to time, to assess if the firm is improving its flexibility or not. The index assumes importance in view of the fact that it has been prepared based on feedbacks of both the upper and the lower management people of the firm engaged in policymaking and operations.

Cloud computing (CC) services have given a tremendous boost to the creation of efficient and effective solutions. With developing countries at a slow pace of adoption, this research aims to identify factors and their interrelationships influencing the adoption of CC in a developing country context. The developing countries are enjoying numerous benefits from CC services; however, its low adoption is still a question in developing economies; hence, the authors have selected the context of information and communication technology (ICT) firms in India.

The qualitative research method is used where experts from thirteen ICT firms in India are interviewed.

Sixteen factors, twenty-eight subfactors, and 25 interrelationships are revealed through content analysis. Further, causal loop diagrams are proposed to display the behavior of cause and effect of these factors from a system's perspective. This will help to understand the relationships among the factors in order to enhance the speed of CC adoption. Possible financial loss and resistance to change are found as the key barriers to adoption. The proposed interrelationships can guide both policymakers and service providers for designing effective CC policies.

This is the first scholarly work that identifies interrelationships among factors and subfactors, thereby providing a holistic picture to decision-makers while making a choice on whether to adopt cloud services or continue with on premise data centers and servers.

This paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.

The case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.

The results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.

Lack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.

This is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.

The purpose of this paper is to presents an analysis of geographically and disciplinary scattered academic publications of cloud computing (CC) research in information systems. This review aims to understand the research methodology, research frameworks and models, geographical distribution, trends, critical factors and causal relationships associated with cloud computing adoption (CCA).

Systematic-literature-review using natural language processing is conducted to explore the phenomenon. The relevant research studies are extracted from various online databases using quality-assessment-criteria.

The study is a novel attempt to highlight the differences in critical factors for CCA in different country-settings. Further, the research explores the causal relationships among the identified factors. The findings of this 12-year systematic-review contribute by aiding the providers and potential adopters to devise context-specific strategies for the penetration of cloud services and sound adoption decisions (ADs), respectively. The findings also highlight the prospective avenues of research in the domain for researchers. Using the in-depth analysis, conceptual frameworks have been proposed that can assist in exploring the pre-adoption and post-adoption of CC.

This study contributes to CCA research by providing holistic insights into the methodology, research framework and models, geographical focus, critical factors and causal relationships influencing the AD or intention. The review highlights the unexplored emerging research topics in the field of CCA for future research directions.

It is critical for small and medium-scale enterprises (SMEs) to review and monitor sustainability performance indicators across three dimensions: economic, environmental and social to attain long-term competitiveness. SMEs lack a holistic perspective on sustainability; they are frequently hindered from contemplating environmentally favorable investments beyond what is legally needed. The purpose of this paper is to present a joint Decision-making trial and Evaluation Laboratory (DEMATEL) and NK methodology for developing a process model for introducing and implementing sustainable competitiveness practices for SMEs.

This study addresses the issue by adopting a sustainable competitiveness practices framework and applying a novel method that integrates DEMATEL and NK model for evaluating and developing the implementation path model for Indian manufacturing SMEs.

This paper also demonstrates that not only the relational practice itself but also the order in which the relational practices are implemented can be related to performance. According to the authors' preliminary findings, organizations in this study should first implement a social dimension, which includes sustainable leadership, knowledge sharing, etc., then an economic dimension like quality, sustainable innovations, etc., and finally environmental dimensions like green marketing, solid waste reduction, etc., with their management for competitiveness.

These findings offer some preliminary information as well as advice for managers and policymakers looking to integrate sustainable efforts.

This study asserts that not only the interdependent practice but also the sequence of implementation is important and can relate to the performance. The path result shows that the organization develops first sustainable design and product development (economic), sustainable leadership (social) and solid waste reduction (environmental) practices.

There is no such study that develops a process model for introducing and implementing sustainable competitiveness of SMEs which assesses and analyzes the interdependencies across relational behaviors, to the best of authors’ knowledge. The novelty of this work lies in integrating DEMATEL-NK model approach.

This case seeks to illustrate the specific problem of excessive defects in radial tyres produced in a renowned tyre manufacturing company in India. This paper aims to show how lean Six‐Sigma methodology can be used to tackle the specific issues like defects reduction.

The management took this problem on top priority as it is eroding their brand value and financial performance. A Mumbai‐based lean Six‐Sigma consulting group was approached to tackle the issue. One of the authors, who is pursuing research on determinants of successful lean manufacturing implementation in Indian industries, joined this project as a part of his field study and he spent considerable time in discussing and observing the issue with people of different hierarchical levels of the company. Lean Six‐Sigma methodologies were incorporated and the problem was evaluated with root‐cause analysis. This case is formulated on the basis of the initial findings of the study in an Indian tyre manufacturing organisation keeping the actual name of the company in disguise.

On the basis root‐cause analysis of the radial tyre manufacturing process, it was found that presence of foreign particles in the manufacturing environment, under‐ageing and over‐ageing of tyre components, and inefficient bead winding process, were the main culprits of defects. It was confirmed that lean Six‐Sigma methodology can serve as a major tool to reduce defects in the tyre manufacturing process in India.

This paper provides some key insights to the successful adoption of lean Six‐Sigma tools in an Indian industrial environment, where lean practices are still in the very nascent stage and very little literature is available in this context.

The purpose of this study is to assess the lean performance of a tyre manufacturing firm in India. The key objective is to find key strategic and operational decision‐making dimensions for developing effective lean manufacturing environment in a tyre manufacturing organization.

This research is empirical in nature where the opinions of a group of experts of an Indian tyre manufacturing firm were consulted to formulate an interpretive structural model (ISM) of the critical success factors of lean manufacturing implementation in a tyre manufacturing organization. The authors have developed an Excel‐based template for quantitative assessment of lean performance indicators on the basis of feedback from the operational staff.

This research work suggests that financial capability of an organization drives the top‐management commitment for incorporating lean manufacturing practices in a tyre manufacturing organization. Organizational culture and human resource management are the important enablers for developing change management paradigm, which in turn leads to performance improvement. This study also reveals that over‐processing as well as excessive defects are the most detrimental wastes in radial tyre manufacturing, which accounts for high manufacturing cost of radial tyre manufacturing in India.

Since this study is carried out in a single (case) organization, a relatively small sample size restricts the outcome from being considered for generic industrial application. This study none the less is useful for practicing managers and academicians for the development of lean manufacturing strategy in context with the tyre industry since it encompasses insightful views of experienced lower to upper middle level managers.

This paper provides some key enablers for the successful implementation of lean tools in Indian tyre manufacturing, where lean practices are still in the early stage and little literature is available in this context with tyre manufacturing. Also an attempt has been made to develop a simple Excel‐based template for lean assessment in the tyre industry. This template can be used in other industries by simply modifying the key attributes.