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The article depicts a practitioner's approach towards Innovation Evangelism in a corporate context. The case in point here is Wipro Technologies, one of the leading Information Technology firms based out of India. The author being an Innovation Evangelist at the firm shares the imperative of evangelism, the various vehicles deployed and the learnings there from. The need for Innovation Evangelism comes from the urge to spread awareness about innovation and enable it, especially at the grassroots level. Author defines an Innovation Evangelist in an organizational context as one who generates awareness of the need to innovate; builds a belief amongst people that anyone can innovate; and provides sufficient facilitation to enable innovation. At Wipro Technologies, Innovation Evangelism happens through a series of vehicles that include: Wipro's Innovation Camp, Innovation Bazaar, Story Book on Innovation, Systematic Creativity Workshops, and Inflection Point newsletter, among others. Each of these started as experiments and then through learning got institutionalized. Key learnings are: enrollment of the stakeholders; creating a semi-structure knowledge sharing environment; enabling a market of ideas, talent and capital; having a constant and consistent communication; transparency in operations; and taking a more scientific approach towards creativity; among others. One of the areas of further investigation is on measuring the direct and indirect returns of investment for each of these vehicles. The article would make a good read for researchers, academicians, professionals and students alike who study and execute innovations at the grassroots level.

The paper aims to address two key gaps in the literature of frugal innovation. First, it disambiguates frugal innovations into its types, and into the various levels at which it happens. Second, it builds upon the theoretical foundations of resource-based view, new institutional economics, economics of location, and institutional theory to offer testable propositions on determinants of frugal innovations.

This is a conceptual paper. The authors first systematically reviewed the extant literature on frugal innovation and related domains and categorized the existing understanding on the domain into various typologies of frugal innovation. The authors then justified why certain key theoretical lenses are tenable to understand the determinants of frugal innovation and then examined the conditions that enable such innovations.

The paper has three key findings. First, frugal innovation comprises of a frugal mindset, a frugal process and a frugal outcome, which may be practiced distinctly. Second, frugal innovators are of three types: grassroots-level, domestic-enterprise level, and MNC-subsidiary level. Each has their distinctive incentives and styles of frugal innovation. Third, a frugal mindset is encouraged by a resource-scarce environments, weaker institutional intermediaries, and a higher tolerance for uncertainty. Frugal processes are espoused by poor property rights regime and a critical size of lead market; and frugal outcomes are influenced by the network-position of innovators, and the presence of critical lead-markets.

The propositions are though testable, but proxies need to be developed to measure the variables, such as a frugal mindset, and a frugal process. Further, the current view on various types and levels of frugal innovation is that of mutual exclusivity, whereas this may not always be the case. Hence, it might be useful to identify contingencies in which these distinctions fade away.

The paper is valuable in two key aspects. First, it offers a much-needed theoretical underpinning to the phenomenon of frugal innovation, such that the phenomenon could be better understood and influenced. Second, it nuances the phenomenon by identifying distinct types of frugal innovators in terms of their motivation, institutional influences, and styles of innovation.

The purpose of the paper is to identify existing and common critical success factors adapted for implementing Industry 4.0 technology, which is essential to survive in the vulnerability, uncertainty, complexity and ambiguity (VUCA) environment by using systematic literature review (SLR) methodology with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) and content analysis strategy.

The SLR methodology with the PRISMA and content analysis strategy adapted to review 74 papers in peer-reviewed academic journals and industry reports published from 2014 to 2021.

Based on a review of relevant literature, two theoretical contributions have been added to the literature on Industry 4.0. First, this review reveals that 35 (47%) out of total 74 studies assessing the Industry 4.0 implementation in the manufacturing industry, the service industry can also create value through Industry 4.0 implementation, with a lot of potential to increase productivity, which literature has not explicitly focused on. Second, this paper proposes the 12 most common critical factors (training and development, organizational culture, top management support, organizational structure, innovation capability, technological infrastructure, security system, standardization of procedures, financial resources, communication and cooperation, change management and governance) that can be considered as the significant critical factors for successful implementation of Industry 4.0.

The novelty part related to methodological perspective by using the PRISMA approach for systematic review, which cannot be found extensively in existing literature in the context of the Industry 4.0 phenomenon to analyze critical factors.

Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries.

The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results.

The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries.

The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries.

Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.

The objectives of this study are twofold: identify the main challenges in performing training on Industry 4.0 concepts to managers operating in the manufacturing sector who are not familiar with them but aspire for an Industry 4.0 broad view and validate training practices that can be adopted to reduce managerial knowledge differences.

A Delphi method was carried out in two rounds to identify the Industry 4.0 training challenges and a Fuzzy Delphi method was applied in one round to validate the training practices. Both methods used the same set of participants composed of experts in training for Industry 4.0. Results were discussed considering literature statements.

In total, 11 challenges in Industry 4.0 training were identified and grouped into: challenges associated with the necessary knowledge, challenges of breaking paradigm, challenges associated with training characteristics and challenges associated with expected results. In total, 11 training practices were directly validated, including actions to be adopted before, during, and after the training process.

The findings are relevant for professionals, academics, or consultants as the findings enable better training planning and execution. No similar papers were found in scientific databases, reinforcing this present study's originality and contribution.

The present study aimed to evaluate how Brazilian companies from different sectors are developing human resources practices in the context of Industry 4.0 and which of these practices allows better differentiate of companies.

After a systematic literature review to identify the most important human resources practices in the context of Industry 4.0, a survey with professionals from human resources area of companies operating in Brazil was carried out. Data analysis was performed through frequency evaluation and CRITIC method (Criteria Importance Through Intercriteria Correlation). CRITIC method was used to identify the practices that best differentiate the studied companies.

The analysed companies are in different evolutionary stages regarding how human resources management practices are adapting to the Industry 4.0 context. Few companies have presented reliable results to better support the transition process. Practices related to evaluating employee performance in this context, estimating the needs of financial resources and time for the training required by Industry 4.0 and establishing systems to recognise talents among employees who already work for the company are the practices that best differentiate companies.

There are few studies on this topic for Brazilian context. The information presented in this article can be useful for professionals and researchers.

The purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation.

The proposed methodology was developed using fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to evaluate and analyze the AM performance. The FAHP is applied to determine the importance of KPIs, and PVA is used to evaluate AM performance.

The proposed methodology is applied to an Indian auto component manufacturer, and it is observed that there is an improvement of performance along the timeline.

The proposed approach is generic in nature and can be applied to different agile business environments for performance evaluation.

This study provides insights into the AM performance evaluation. The managers can establish the impact of each significant area (SA) on AM and each KPI on its corresponding SA by capturing their manufacturing environments.

Although many issues related to AM have been widely researched, only a few studies have been carried out to quantify, analyze and evaluate the AM performance in the Indian manufacturing environment. The proposed model has the ability to capture the performance of AM along the KPIs to draw fruitful conclusions.

This study aims to present an overview of leading research trends in the lean six sigma domain published in the International Journal of Lean Six Sigma (IJLSS) since its inception.

The study analyses articles published between 2010 and 2019 in IJLSS using the bibliometric technique. The results of data analysis identify the most prolific authors, their affiliation, citation trends and highly cited articles from the journal. Further, a graphical analysis involving bibliographic coupling and co-citation analysis of the corpus enriches the investigation.

The results of the bibliometric analysis suggest that the number of IJLSS’s publications and citations grew markedly over time (from 4 citations in 2010 to nearly 1,324 in 2019). The organizational diversity and collaboration among authors publishing in IJLSS are trending upwards. Case study and focus group are the two most common research designs in publications. In the study, three major themes emerged: implementation of lean on business, integration of lean and six sigma and the effects of lean six sigma on businesses.

The study finding informs and educates practitioners and scholars about various qualitative research tools, applications and methods of implementing lean six sigma tools in different industry sectors.

The study uses bibliometric analysis to propose a novel categorization of research published in IJLSS and to report on the utilization of various lean tools in the journal. The study provides guidance for new future research besides offering a thorough introspection of the lean and six sigma domains.