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The study aims to explore the argument of implementing the lean method to part or whole of an operation by examining the moderating impact of varying levels of the extent of implementation of four different lean methods, along with their functionalities, in predicting productivity improvement (PI).

As the focus of understanding the efficacy of lean principles is shifting from process to industry level, this study tried to generalize the approach by gathering data from 132 large Indian auto component manufacturers. This involves an assessing/monitoring approach rather than measurement.

Results highlighted the interdependence or individuality of the extent of implementation of lean methods and their functionalities. Findings revealed a significant moderating effect in improving productivity to a greater extent of 50%.

Adopting an assessment approach to a measurement study provides a noteworthy contribution to bridging theory and practical consequences. The findings can be appropriately extrapolated to medium and small enterprises forming a critical connection in the entire automobile manufacturing ecosystem.

The study showed that even if a lean method is applied to a certain extent of operations the chances of PI are significant. This is important for decision makers as they confront problems of optimum resource allocation.

PI, reduced cost and generalization of results would enable the auto component industry to become more competitive.

The examination of the moderation effect of a lean principle implementation extent, along with that of its functionalities to predict the improvement in productivity from its existing level, is a major outcome of this study.

The student will be able to understand the concept of spotting an opportunity and exploiting the same. The student will be able to comprehend the various challenges faced in the development of a business idea. The student will be able to understand the strategies that need to be adopted to cope with and grow, in a competitive business environment.

Samar Singla, the Chief Executive Officer of Jugnoo, had sensed a business opportunity in auto rickshaw aggregation. He was convinced that being among the initial players in the market of auto rickshaw aggregation, there would be very little competition. He only had to play his cards right, to become the top auto aggregator. As Singla started the business, there were challenges like inducting the auto rickshaw drivers as partners, training them, hiring the right team, putting the right strategies in place and to expand the business. Singla launched and achieved robust growth in the new business, in a short period of time. Soon, however, Jugnoo felt competition breathing down their neck – form cab aggregators who were already dominant players in the cabs aggregation segment, in the large cities. To hedge their risks, Singla added other services such as “Meal” (meal delivery) and “Fatafat” (goods delivery) – as B2C and B2B services. These services, however, had to be closed soon after because of stiff competition from the local players. Singla also adopted the inorganic growth path by acquiring “Sabkuch,” a grocery delivery logistics firm; “Yelo,” a platform that provided online access to businesses and “BookMyCab,” a taxi aggregation company. Faced with tapering growth after an initial steep rise, Singla had to confront a dilemma about the right method of ensuring growth in the face of competition.

Under graduate, masters in business administration and post graduation in the areas of entrepreneurship and strategy.

Teaching Notes are available for educators only.

CSS 11: Strategy.

The purpose of this study is to empirically investigate the variables having an impact on profitability of public private partnerships (PPPs) in India using a balanced panel data of 171 unlisted PPPs from different infrastructure sectors such as road, power generation, real estate and ports.

Estimations were done using Arellano–Bond dynamic panel data estimation and seemingly unrelated regression models on a balanced panel data of 855 firm-years for 171 unlisted PPPs in India. To further test the estimation robustness, panel-corrected standard errors model was used.

The study findings indicate that in firm-specific factors, leverage, size, non-debt tax shield, growth and risk have significant positive impact on PPPs’ profitability, whereas in macroeconomic factors, only inflation has significant positive relationship. Although the relationship of all determinants is in sync with various theories and approaches, but these are not significant. Using the robustness test, the results are found to be robust and consistent with resource-based view and strategy-structure-performance approaches.

As PPPs are gaining prominence in the development of infrastructural resources, their profitability is of significant importance to drive private investments in infrastructure development, the identification of factors which determine profitability is critical for researchers, practitioners, policymakers and fund providers such as equity investors and debt providers.

The empirical literature on profitability determinants is focused on various sectors including small and mid-size enterprises (SMEs) and micro firms, but to the best of the authors’ knowledge, this is the first study, in both developed and developing economies, to empirically investigate the determinants of profitability for PPPs.

The purpose of this paper is to present the contemporary thinking on deliberate lookalikes and to provide a better understanding of its key forms (counterfeits, copycats and no-name imitations) and markets (deceptive and non-deceptive).

This editorial contains a review of current and past literature on deliberate lookalikes along with summaries of all the articles accepted for publication in the special issue on deliberate lookalikes. The guest editors used academic databases such as Web of Science to find the most representative scholarly work on deliberate lookalikes literature.

This editorial identifies pertinent research gaps in the literature on deliberate lookalikes. The five selected articles address some of these research gaps and provide useful insights on the purchase and usage of deliberate lookalikes along with directions for future research and ways to apply different research methods that could have important implications for scholars and managers.

The editorial and special issue extends the knowledge about the deliberate lookalikes and their effects on firms, brands and consumers. This work opens new avenues for the research about different forms and markets in the context of lookalikes.

This paper aims to discuss that a conventional Al₂O₃, 1.5 Wt.% carbon nanotubes (CNTs)-Al₂O₃, 2 Wt.% CNTs-Al₂O₃ and 4 Wt.% CNTs-Al₂O₃ composite coatings were deposited with the help of Plasma spray process.

To better understand the effect of CNT reinforcement on oxidation resistance, high-temperature oxidation behaviour of conventional Al₂O₃, 1.5 Wt.% CNTs-Al₂O₃, 2 Wt.% CNTs-Al₂O₃ and 4 Wt.% CNTs-Al₂O₃ composite coatings at 900°C was compared with the performance of the uncoated ASME-SA213-T11 boiler tube steel substrate.

The results showed that the CNT-reinforced alumina coatings exhibited better oxidation resistance and thermal stability than uncoated ASME-SA213-T11 boiler tube steel. The coated steel substrates had a lower mass gain rate than the substrate after different oxidation times.

Limited literature is available where the CNT have been reinforced into the composite alloy powders and has been thermally spray-deposited for various surface engineering applications. This research showed that with the increase in the percentage of CNTs into the alloy powder mixture, there is a significant reduction in weight gain and hence higher resistance to oxidation.

The purpose of the study is to examine the value-based performance of firms in construction sector in India using Tobin's Q and Market Capitalization (MCAP) and then determine their significant financial drivers.

The study is based on data from 87 firms engaged in infrastructure, real estate, industrial construction and allied areas in India over a study period of 10 years. Three distinct forms of panel regression models have been developed using Tobin's Q and MCAP as dependent variables. The models developed are using Baltagi's (1981) Error Component 2SLS, Varadharajan-Krishnakumar's (1987) Generalized 2SLS and Arellano – Bower/Blundell – Bond's (1991) dynamic panel.

The study found that MCAP is a better suited value-based performance measure for construction sector firms in India. The study further reports that the age of the firm, profit after tax, investment in research and development, dividends, leverage and net fixed asset are significant positive drivers, whereas cash flow is a significant negative driver.

The study is limited to a geographic location; therefore, the findings of this study cannot be generalized.

As MCAP is a better suited value-based performance measure of a firm in the construction sector, managers should focus on improving profitability, higher research and development activities, higher dividends and higher expenditures on net fixed assets for improvement.

This is an original attempt to examine the value-based performance of firms in the construction sector in India using Tobin's Q and MCAP.

This paper aims to focus on how home-grown Indian companies explored the potential of Indian middle class and realized an opportunity to seize the market gap not catered by MNCs in India. Across three distinct business contexts, the authors describe the companies’ procedures of developing segment-specific offerings. Doing so, the authors outline novel strategies implemented by these companies to cater to specific needs of the segments.

Seizing Bandura’s (1986) framework that stresses on the role of cognitive, vicarious, self-reflective and self-regulatory processes, the authors develop a four-layered model of the Indian middle class consumers. Building upon this model, they took multiple case (three caselets) approach for illustrating the strategies of home-grown companies. The authors identify their potential to explore the unknown terrains of various market segments and rework with unique local solutions.

The study highlights the power of home-grown companies over MNCs in terms of better market understanding and realistic offerings best suited to their needs. Across the divergent business contexts the companies’ strategies have four features in common: customer targeting and developing; localization of business models, particularly services; relating the products to the Indian society; and ethnocentrism and pride.

This study gives priority to a “thick” description of the proceedings without claiming causality. The authors limit this qualitative investigation to pinpointing congruence and contradictions to previous established results.

A key implication of this paper is the relevance of linking firm’s strategy to social-psychological development of customers in emerging economies component. This study provides critical insights for both managers and policymakers on the economic and social upswing as socially responsible and ethical practices are likely to gain public awareness.

The study’s originality springs from understanding the domestic company’s strategies when facing the pressure of (mainly Western) MNCs entering the emerging economies markets. While the latter takes advantage of economies of scale, country of origin effects and the powerful brands, the home-grown businesses are forced to develop divergent advantages and capabilities. Notably, earlier literature focused on changed demand pattern brought by MNCs in emerging economies and not on later part whereby, home-grown companies carve a space for themselves with specially designed improved products and innovative strategies.

To stabilise the financial flow and ensure the smooth operations of the micro, small and medium enterprises (MSMEs), supply chain finance (SCF) is one of the efficient alternative solutions suggested by various researchers and practitioners. The application of blockchain technology (BT) could maximize the capability and performance of the SCF throughout the supply chain. Therefore, this study aims to identify and analyse the factors of implementing BT-embedded SCF solutions for Indian MSMEs.

The total interpretative structural modeling (TISM) methodology is applied to explore the hierarchical as well as non-hierarchical relationships among the factors of implementing BT-embedded SCF solutions in Indian MSMEs. Thereafter, the fuzzy-cross-impact matrix-multiplication (F-MICMAC) approach is opted to classify all the factors into four groups depending upon their driving and dependence powers in the overall TISM hierarchy.

The result of this study revealed that “real-time exchange of information” and “transparent platform” are the most influential factors and play important role in the application of blockchain in SCF in Indian MSMEs. The real-time exchange of information ensures the easy and quick access to data by any partner across the supply chain and, also the data and information remain secure.

The findings of this study help the MSMEs and supply chain managers to implement the blockchain-embedded solutions to overcome the traditional SCF challenges and obstructions by setting up short-term as well as long-term policies and will open the door for future research work.

To the best of the author’s/authors’ knowledge, this study is the first of its kind, where the data is collected from field experts to identify the factors influencing the blockchain-embedded SCF adoption in Indian MSMEs’ perspectives, to tackle the flaws of SCF and strengthen the MSMEs.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

This study aims to examine the determinants of mobile health technology and applications use intention. The factors are delineated from prior literature and theories of individual traits and adoption characteristics, technology acceptance and health belief.

Data from 409 respondents were collected from Indian participants through a questionnaire survey. The construct “use intention” was measured using individual traits to mobile services, subjective norm, health consciousness, awareness and perceived usefulness, and the model was tested.

The study found that mobile health technology and the applications awareness and personal innovativeness influence intention to use.

Previous studies have often looked at technology adoption and acceptance models separately and are less adequately discussed in the Indian context. The components that determine mobile health technology and the applications’ acceptance by literature and theories of individual traits and adoption characteristics, technology acceptance and health beliefs were also inadequately discussed. The significant contribution of this research also includes policy recommendations for improving mobile health acceptance in India.