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This study aims to present the results of an experimental evaluation of low (M30), mid (M40) and high (M50) grade self-compacting concrete (SCC) with three nominal maximum aggregate sizes (NMAS), namely, 20 mm, 16 mm and 12.5 mm, with Bailey gradation (BG) in comparison with Indian standard gradation (ISG).

This study was conducted in a laboratory by testing the characteristics of fresh and hardened properties of self-compacting concrete.

Rheological and mechanical properties of SCC were evaluated in detail and according to the results, a concrete sample containing lower NMAS with BG demonstrated improvement in modulus of elasticity and compressive strength, while improving the rheological properties as well. Meanwhile, SCC demonstrated poor performance in split tensile and flexural strengths with lower NMAS gradations and a direct correlation was evident as the increase in NMAS caused an increase in the strength and vice-versa.

Upon comparison of BG with ISG, it was revealed that BG mixes succeeded to demonstrate superior performance. From the material optimization, rheological and mechanical performance study, it is recommended that BG with NMAS 16 mm can be used for conventional SCC.

The compressive strength of concrete depends on many interdependent parameters; its exact prediction is not that simple because of complex processes involved in strength development. This study aims to predict the compressive strength of normal concrete and high-performance concrete using four datasets.

In this paper, five established individual Machine Learning (ML) regression models have been compared: Decision Regression Tree, Random Forest Regression, Lasso Regression, Ridge Regression and Multiple-Linear regression. Four datasets were studied, two of which are previous research datasets, and two datasets are from the sophisticated lab using five established individual ML regression models.

The five statistical indicators like coefficient of determination (R²), mean absolute error, root mean squared error, Nash–Sutcliffe efficiency and mean absolute percentage error have been used to compare the performance of the models. The models are further compared using statistical indicators with previous studies. Lastly, to understand the variable effect of the predictor, the sensitivity and parametric analysis were carried out to find the performance of the variable.

The findings of this paper will allow readers to understand the factors involved in identifying the machine learning models and concrete datasets. In so doing, we hope that this research advances the toolset needed to predict compressive strength.

Natural good-quality sources of aggregates are depleting, whereas large amount of reclaimed asphalt pavement (RAP) is produced annually. Safe disposal and use of RAP in the cold in-place recycling (CIR) using foamed bitumen could be sustainable approach where milling and mixing operations are accomplished simultaneously. This will not only help in minimizing contamination (probability) and transportation cost but also reduces the carbon footprints. Therefore, this study aims to investigate the scope of RAP utilization up to 100% and further its effect on the behavior of reclaimed asphalt foamed bituminous mix.

Reclaimed asphalt foamed bituminous mix (FBM) is still a new technique. The evidence of performance of 100% recycled pavement (CIR) is only anecdotal and lacks in systematic guidelines and literatures. Foam binder coating around the aggregates is also a concern. Therefore, this study is mainly emphasized to investigate the scope of RAP use in the FBM up to 100%. RAP content is varied in each trial, i.e. 70, 85, 100 and 0% (only fresh aggregates), to make the FBM. RAP use and its effect on the behavior of FBM in terms of resilient modulus, variation in resilient modulus with curing, rutting performance and the potential of resistance against the moisture damage are addressed.

Considering the laboratory studies, it can be accomplished that mechanistic properties and performance of FBM are largely influenced by RAP material and portray less susceptible characteristics against the moisture damage. FBM containing 70% RAP content exhibits maximum resilient modulus. However, use of RAP up to 100% in FBM is satisfying the minimum required specification.

Overall, the study may be helpful to highway professionals and could generate another possible option of 100% RAP replacing fresh aggregates in the flexible pavements.

The purpose of this paper is to ascertain: first, India's public policy support for small and medium enterprises (SMEs) for external technology acquisition (ETA); second, objectives of SMEs for ETA; and third, factors which induced them to obtain their first ETA.

Public policy is examined through survey of literature, whereas objectives and factors influencing first ETAs by SMEs are analyzed based on primary data collected from 64 SMEs in Bangalore. Objectives of ETAs are analyzed descriptively whereas factors which facilitated/hindered early ETAs are examined through Cox regression analysis.

Public policy for ETAs by SMEs includes technology information, assistance and fiscal incentives. The technology focus of these SMEs has been shifting from conventional lathes to computer numerical control (CNC) machines. Most of the SMEs have gone for technology up-gradation with the objective of improving product quality, scale expansion, and meeting customer demand. Majority of these SMEs have obtained their first ETA within six years of their inception. Firm level factors have significantly influenced the time taken by these SMEs for their first ETAs. Overall, when technology is well developed and easily accessible, SMEs would hardly look for external support for ETAs.

The shifting technology focus from conventional lathes to CNC machines is a welcome development, which is driven by the need for “competitiveness enhancement”. Since there is no major obstacle for ETAs, policy makers may focus more on providing SMEs with market information and market developments.

The shifting technology focus from conventional lathes to CNC machines in Indian SMEs is a welcome development, which is largely driven by the need for better product quality, scale expansion and customer demand, and internal factors played a crucial role in the time taken by these SMEs in accomplishing their first ETA. As such there is no major obstacle for these SMEs in going for ETAs since technology suppliers are available at the door-step and finance is available from the banks. Therefore, policy makers may focus more on providing SMEs with market information and market developments in the domestic as well as international market.

This is a first attempt to examine public policy, objectives and factors influencing SMEs for ETAs in India, after 1991.

With an objective to measure the quality of service provided at Indian railway stations, the purpose of this paper is to propose a method that indicates the level of importance and satisfaction which other known methods of service quality assessment do not clearly provide. In total, six attributes related to passenger services of an Indian railway station are considered. Prioritization of the attributes for improvement of service quality can be decided based on the proposed method.

The Law of Categorical Judgment is used to determine levels of importance and levels of satisfaction of disaggregated passenger groups and passengers as a whole. The law is applied to the responses obtained, using a Likert scale, to the six attributes through random passenger survey of different groups at Howrah Railway Station, a major railway terminal in eastern India. The objective is to check the difference in importance levels and satisfaction levels and then prioritize for improvement accordingly.

The findings are based on the responses of passengers to the questions designed for the purpose of assessing the service quality based on six different attributes. Analysis of results shows that both the levels of importance, as well as satisfaction, can be assessed by the Law of Categorical Judgment. The results indicate that passengers are mostly dissatisfied with “extent of waiting”; thereafter, there is a desire for further improvement of the “security” system. The “travel associated facilities” such as Automated Teller Machine and use of cashless facilities at ticket counters; and “passenger amenities” such as station furniture and refreshment room have also been ranked higher in terms of need for improvements.

The work excludes some of the intangible service aspects such as behaviour, friendliness, managerial skills, etc.

The designed methodology helps in making decisions on levels of service, which is a better indicator of the service quality, particularly for public services such as railway stations.

The purpose of this paper is to empirically study the impact of product patent regime on the productivity of different categories such as ownership, R&D, size and product-wise of Indian pharmaceutical firms using non-parametric data envelopment analysis.

The present study has applied Ray and Desli’s Malmquist productivity index and its decomposition to measure total factor productivity (TFP) change, pure technical efficiency change, scale efficiency change and technical change under variable returns to scale (VRS) technology assumption for 141 Indian pharmaceutical firms during 2000-2001 to 2014-2015.

The study found the negligible impact of product patent regime on productivity. The technological change has played a positive role in the growth of productivity, whereas technical efficiency change depicts the judicious utilization of resources for improving performance. From the results, it is found that R&D intensive firms depict better stability in the TFP than the non-R&D firms. However, Granger causality between R&D and productivity found no relationship. Productivity is more directly affected by investment in fixed assets rather than in R&D, which focusses on incremental value additions in a largely branded/plain generic product market. In case of ownership, private foreign firms found to have registered progress in TFP while others have recorded marginal regress, which probably could be attributed to the superior marketing and management skills of the foreign firms, besides possessing proprietary technology. Both small and large firms have shown positive growth in the new regime as compared to the pre-patent regime. These small firms are able to compete with large firms because of their up-gradation of the technological base by improving access to better foreign technology. TFP growth for all the firms can be attributed to improvement in technology, and innovation in terms of high capital-output ratio. Further, the paper tried to identify the determinants of productivity from panel random effect regression, and it is found that export intensity, age and the new patent regime have negative and significant relationship with productivity, whereas other variables such as R&D, ownership, size and capital imports are insignificant. In the end, the results of sensitivity analysis have confirmed the validity of the selected variables.

The results suggest that Indian pharmaceutical firms need substantive improvement in TFP by improving managerial and scale efficiency. Indian pharmaceutical industry (IPI) needs to improve productivity across the network and drive cost excellence initiatives across the spend base through operational excellence and digital initiatives. The results of this paper can be applied in framing policies for future growth and improvement in the productivity of IPI.

The paper aims to make several new contributions to the existing literature. Most of the research papers only analysed TFP of the industry as a whole and detailed firm-wise analysis is needed to capture the true impact at a unit level. This study has analysed the impact of different categories such as ownership, R&D, size and product-wise, and determinants of productivity. The study has used a broader time period and larger panel data to predict the better picture.

The case study illustrated strategic, marketing, financial and operational challenges faced by Netflix in India's growing SVoD market. This case is appropriate in courses such as Strategic Management, Business Strategy, Marketing Management and International Marketing for postgraduate MBA students, other graduate-level management programs and undergraduate-level students. The case was developed to raise awareness among students, to understand the complex nature of the technology-driven industry, to survive in the highly competitive market, to set up a company that serves the huge Indian market. This case delves into the dynamics of marketing on the Indian market, characterized by unorganized players such as local cable television; torrent downloads and organized and established players, low digitalization rates, language barriers, low internet penetration, lack of infrastructure, price-sensitive consumers. Due to up-gradation in technology, internet penetration, an increase in smartphone users, and the market has undergone a notable amount of change, due to a lot on new entrants, competitions, substitutes. The case states various obstacles, for a multinational company while entering the market such as India and how they are required to strategize, mold their marketing mix, need to analyze en-cash their strength, overcome their weakness, take maximum advantage of opportunities and modify their strategies to face huge challenges. The specific learning outcome of the case will help students to understand the strategy that multinational companies can adopt to sustain, compete in emerging countries such as India and within that emerging market such as streaming videos on demand (SVoD). This case will help students to understand the importance of internal and external resources, which help multinational companies to make strategies based on these resources. The case study offers learners the opportunity to explore the strategy in a dynamic environment. This case also highlights the critical issues that should be addressed by multinational companies when entering into a foreign market. The case highlights the importance of analyzing the competitive environment in which it’s going to compete and sustain. It can be used to introduce Ansoff’s growth matrix, internal and external factor analysis and porter’s five forces in the delivery of course for both regular and executive programs. The case should be offered in the middle term periods of the course. Additionally, the case could be used in marketing courses to indicate the importance of scanning the business environment in marketing activities for any organization. The case illustrates the strategies that companies can undertake to expand the market, introduce new products, as per the requirement of business environment and concerns linked with innovating approaches to support the organization to satisfy a larger number of price-sensitive consumers from varied backgrounds.

Netflix has been optimistic about the potential growth of the Indian market. It will grow slowly and gradually and become profitable. The SVoD market in India has been price sensitive. There are no plans for cheaper prices. Netflix had a long way to go. The pricing model of Netflix was a hurdle in its growth, but the future of Netflix in India was bright. There have been numerous challenges in terms of government regulations, pricing structure and an increase in the number of competitive players on the market. Netflix believed that Indian audiences enjoyed “Bollywood” film productions but watched low-quality soap opera content on television. Television audiences were a massive untapped market for their brand of original, exclusively produced content. Can Netflix come up with a marketing and growth strategy, or else they might be looking to lose market share and revenue. Should a new product such as Amazon and MI fire stick be introduced in the existing market like their competitors? Should they enter the existing market with existing products, or should they seek a new market in India, such as the rural market, the Pyramid market, the Tier II market and the City III market? Should they diversify into a new market with new products? How Netflix should plan its market communication if it wants to launch a new product or if it wants to reposition its existing product. Netflix had to rethink its strategies and also needed to address these issues so that they could travel smoothly on Indian roads. High marketing budget and aggressive promotions helped Netflix India to make a profit in its first year.

Postgraduate MBA students, other graduate-level management programs and undergraduate-level students.

Teaching notes are available for educators only.

CSS 11: Strategy.

The purpose of this paper is to identify the critical factors influencing the cloud computing adoption (CCA) in the manufacturing micro, small and medium enterprises (MSMEs) by employing a decision-making trial and evaluation laboratory (DEMATEL) methodology.

Through literature review and expert opinions, 30 significant factors were identified, and then a DEMATEL approach was applied for exploring the cause–effect relationship between the factors.

The results of study highlighted that five factors, namely, “hardware scalability and standardisation”, “cost (subscription fees, maintenance cost and implementation cost (CS1)”, “innovation”, “installation and up gradation (CS28)”, and “quality of service” were the most significant factors influencing the CCA in the case sector.

The DEMATEL model was developed by considering expert inputs, and these inputs could be biased which can influence the reliability of the model. This study guides the organisational managers, cloud service providers and governmental organisations in formulating the new policies/strategies or modifying the existing ones for the effective CCA in the case sector.

For the first time. interdependency between the critical factors influencing CCA was discussed by employing the DEMATEL approach in the Indian manufacturing MSMEs context.

The purpose of this paper is to explore the unique resources that Indian apparel exporting firms claim to have and the key resources that help provide competitive advantage to these firms.

A web-based content analysis of texts available on “About Us” or related sections of the Indian export firms was conducted. Text data were coded and interpreted.

Physical resources seemed to be one of the most critical resources for their competitive advantages for the study samples. The ability to provide affordable and competitive prices for their products and experience in exporting were recognized as important firm resource described by the study samples.

The study results supported the resource-based theory of the firm by showing additional key firm resources, such as ability to maintain domestic operations and to provide competitive prices that Indian apparel exporters claimed to have. Generalizability of the results is cautioned due to the content and analysis mode of the study data.

The results indicate that design capabilities, flexible production systems, and skilled labor are the key resources that provide Indian apparel industry the competitive advantage over its competitors. Therefore, Indian apparel exporters may want to continue to strengthen and emphasize these abilities to foreign buyers to complete in the global marketplace.

Given the importance of Indian apparel industry in the global market place, this study builds a knowledge base of the key resources possessed by the Indian apparel export firms.

Improved performance in operational (lean) and environmental (green) dimensions has been extremely critical to the global competitiveness of organizations. As the performance of small- and medium-sized enterprises (SMEs) is influenced by various external and internal factors, the purpose of this paper is to analyze the lean–green performance of Indian manufacturing SMEs by investigating the influential relationships of various factors along with the set of lean and green practices adopted by the firms.

The study employs a holistic approach by integrating multiple case study and data envelopment analysis (DEA) in eight manufacturing SMEs to verify a set of five propositions relating issues such as organizational factors, quality and environmental management certifications, implementation of lean and green practices with operational and environmental performance in Indian SMEs. Within-case analysis and cross-case analysis are used for a qualitative investigation of cases while DEA with four input variables, two desirable output variables and one undesirable output variable, is used for quantitative investigation with returns to scale (RTS) and damages to scale (DTS) analysis.

The RTS/DTS results suggest that Indian SMEs exhibit decreasing RTS and increasing DTS, implying that they need to decrease their operational sizes in order to improve the operational and environmental performance. The possible alternative and more practical strategy could be to introduce new technology innovation and holistic adoption of manufacturing excellence initiatives such as lean and green.

The research findings provide insights into the lean and green performance enhancement approach in the context of SMEs. The study extends key managerial implications and policy-related guidelines.