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This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/eb042172. When citing the article, please cite: Sushil Chandra, Mukesh Chandra, (1985), “Acrylic modified water soluble oil based coatings”, Pigment & Resin Technology, Vol. 14 Iss 11 pp. 11 - 14.

Acryclic copolymers from methacrylic acid‐ethyl acrylate or butylacrylate were prepared and incorporated into the castor oil alkyd structure. The neutralised product was water soluble. Water soluble hexamethoxy methyl melamine resin was prepared and used as curing agent. Several proportions of water soluble acrylic modified alkyds and hexamethoxy methyl melamine resin were examined at various baking schedules. It was established that 30% of the curing agent gave most satisfactory properties after baking at 150°C for 30 minutes. It was found that ethyl acrylate modified compositions had better scratch hardness and acid resistance than those of the butyl acrylate modified composition. However, the latter had better alkali resistance. These surface coating compositions have been recommended as industrial primers.

In the present scenario, the demand for additive manufacturing (AM) has increased. Taking into account environmental problems and sustainability, manufacturers are now also considering the environmental and sustainability criteria in their decision-making process. The sustainability concept is known as the triple-bottom line, namely, economic, social and environmental perspectives. Sustainable concept selection in the manufacturing organisation can be considered as the selection of sustainable material, product design, process, method and technology. This study aims to select an appropriate AM process by considering sustainability from various available techniques.

Appropriate sustainable performance indicators for the AM were identified based on literature as well as in discussion with experts and decision-makers. The model addresses all the major dimensions of sustainable concepts of AM such as material/product quality, machine performance, market stability, total cost and ecological values. A hybrid multi-criteria decision-making approach, i.e. stepwise weight assessment ratio analysis and complex proportional assessment methods, have been used to select the best AM technique. While selecting criteria affecting AM machines and processes, criteria based on the sustainable concept are considered.

Among the four selected AM processes, i.e. fused diffusion modelling (FDM), laminated object manufacturing (LOM), stereolithography apparatus (SLA) and selective laser sintering (SLS), the best alternative was found to be FDM.

The present study highlights some limitations in the selection of AM process and methodology used in this research. This study considers only four AM processes, i.e. FDM, LOM, SLA and SLS. Future work may include considering other AM processes and criteria that affect the sustainability of AM.

The present work will help researchers and production managers to decide the best AM alternatives to fabricate desired parts. Hence, AM can help in maximum energy utilisation, optimal consumption of resources, minimum material wastage and reduction of CO₂ emission.

The study considers some important criteria, including energy consumption, eco-friendly and wastage-free production, that help sustainable AM. This study can result in a good economic efficiency of AM industries and, therefore, positively impact customers using green products.

This paper aims to conduct, a detailed investigation of various Reynolds averaged Navier–Stokes (RANS) models to study their performance in attached and separated flows. The turbulent flow over two airfoils, namely, National Advisory Committee for Aeronautics (NACA)-0012 and National Aeronautics and Space Administration (NASA) MS(1)-0317 with a static stall setup at a Reynolds number of 6 million, is chosen to investigate these models. The pre-stall and post-stall regions, which are in the range of angles of attack 0°–20°, are simulated.

RANS turbulence models with the Boussinesq approximation are the most commonly used cost-effective models for engineering flows. Four RANS models are considered to predict the static stall of two airfoils: Spalart–Allmaras (SA), Menter’s k – ω shear stress transport (SST), k – kL and SA-Bas Cakmakcioglu modified (BCM) transition model. All the simulations are performed on an in-house unstructured-grid compressible flow solver.

All the turbulence models considered predicted the lift and drag coefficients in good agreement with experimental data for both airfoils in the attached pre-stall region. For the NACA-0012 airfoil, all models except the SA-BCM over-predicted the stall angle by 2°, whereas SA-BCM failed to predict stall. For the NASA MS(1)-0317 airfoil, all models predicted the lift and drag coefficients accurately for attached flow. But the first three models showed even further delayed stall, whereas SA-BCM again did not predict stall.

The numerical results at high Re obtained from this work, especially that of the NASA MS(1)-0317, are new to the literature in the knowledge of the authors. This paper highlights the inability of RANS models to predict the stall phenomenon and suggests a need for improvement in modeling flow physics in near- and post-stall flows.

In 2006, four successful entrepreneurs decided to establish a world-class mega university. Initially, the project progressed slowly until Vineet Gupta was able to locate a small plot of land in Sonipat, Haryana. Forty-eight hours before the payment deadline, Ashish Dhawan and Sanjeev Bikchandani agreed to invest in their personal capital to kick start the project. They however suggested a pivot in favour of a smaller private liberal arts college. Meanwhile, Pramath Sinha, with prior experience in establishing the Indian School of Business launched a pilot through the Young India Fellowship (YIF). Dhawan and Bikchandani, through their extensive entrepreneurial networks, raised scholarships for the first two batches of the fellowship in the hope of attracting other donors to the board and getting a buy-in for Ashoka University. The team faced a number of challenges: managing the new model of collective philanthropy, recruiting faculty and finding jobs for the first undergraduate batch. At Ashoka University's first graduation ceremony in 2017 they wondered whether this model could revolutionise the higher education space like the IITs and IIMs had done for the country.

The purpose of this paper is to evaluate experimentally the influence of different surface roughness of the contacting disc on tribological performance of the non-asbestos brake friction material (BFM).

Taguchi method was applied to design an experiment using three different discs of gray cast iron with different surface roughness, which is measured using optical profilometer. These discs were subjected to sliding against pins prepared with the developed non-asbestos BFM, using pin on disc friction and wear monitor.

The experimental results shows that the disc 2 (Ra = 3.77 µm) gives wear of 22.78 µm and coefficient of friction of 0.462, which is recommended for extreme brake performance. Analysis of Taguchi design revealed that the disc surface was most significant parameter among the parameters under study.

During braking, continuous sliding between the BFM and brake disc or drum not only results into wear of BFM but also changes the surface finish of the brake drum or disc. This leads to variation in surface topography of the drum or disc surface with application of brakes, which further affects the characteristics of the BFM.

The tribological performance of BFM depends upon the topography of the surface on which it was sliding. To get best performance of the non-asbestos friction materials, disc having moderate surface finish is recommended. Scanning electron microscope micrographs had shown the different plateaus formed and energy-dispersive X-ray spectroscopy spectra identified presence of different chemical elements prior to sliding of the pins surface over different discs surface topography.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2020-0120/

The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource availability and the demand-side implications of supplying global/regional markets as part of a more holistic SC design activity that incorporates local environmental factors.

The proposed framework was derived from literature analysis, bridging relevant literature domains – natural capital theory, industrial ecology and SC configuration – in order to develop design rules for future resource-constrained industrial systems. In order to test the proposed framework, an exploratory case study, based on secondary data, was conducted.

Research findings suggest that this approach might better identify relationships and vulnerabilities between natural resource availability and the viability of regional/global SCs. The research suggests that natural resource availability depends upon three elements – local resource consumption, global resource demand and external environmental factors.

The framework has two main limitations. The current work is focussed on a single industry case study used to exemplify the approach. Second, the framework does not consider other possible industries, which might enter or leave the specific location during the company’s operation. Furthermore, no assessment was made of the migration of populations within the area.

For practitioners, such as those in the agri-food sector, the resource availability assessment framework informs SC configuration design. For policymakers, the research aims to provide policy guidelines, which can help to improve water-saving strategies for a particular region. At a broader societal level, the research raises awareness of resource scarcity amongst industrial players and the wider public.

A resource availability assessment framework has been proposed, suggesting that the dynamics of both global and local resource demand, in conjunction with changing local environmental factors, can over time significantly deteriorate a firm’s natural resource impact on the local environment. Thus, the framework seeks to deliver mechanisms to evaluate potential vulnerabilities and solutions available to firms using a more proactive SC design method and to apply reconfiguration processes that account for natural resources, based primarily on network and resource attributes.

Young consumers are recognized as an important and lucrative segment for the businesses across the globe. While initial steps have been taken to understand them, majority of the existing works consider both Millennials and Generation Z as a single and homogeneous market segment. The purpose of this study is to explore the consumer decision-making styles which are prevalent among Indian Millennials and Generation Z e-shoppers, and how significantly they differ from one another on each of those decision-making attributes.

This exploratory study used the generational cohort theory (GCT) as a framework. The psychographic statements (Questionnaire items) employed were adopted from several past researches on store orientation and catalog orientation, and they were rephrased to suit to the context of Indian online shopping. The principal components factor analysis with promax rotation has been used to unearth the underlying decision-styles among 503 survey participants. Subsequently, the ANOVA model was run to examine the mean differences between the cohorts.

The factor analysis has revealed that frugality (Price), convenience (Home) and social desirableness are the most dominant shopping orientations (decision-styles) that prevail among Indian (Millennials and Generation Z) online shoppers though in varying degrees. The probing of ANOVA results suggested that, though both the cohorts favor e-shopping, Generation Z are more enthusiastic about online shopping than their Millennial counterparts do.

Though Generation Z and Millennials share few characteristics between them, they exhibit different consumer behaviors. Marketers need to customize their value offerings and marketing communications that resonate well with each generational cohort.

Almost all the existing research works that have been conducted so far on generational cohorts are from Western and European countries and one could confidently say that those findings cannot be applied for the developing nations such as India which is a complex and diverse country in terms of its language, custom, religion and practices with troublesome pasts. Moreover, this is the first empirical work to be conducted to unearth the generational differences that exist between Generation Z and Millennials to the best of authors' knowledge.

The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness.

In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement.

The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems.

In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.

Ethics is fundamentally a science of social and collective responsibility. Ethics concerns human behavior as responsible or accountable. Because of the nature of social interaction, certain members of the society will bear greater authority, and hence, greater individual and social responsibility than others. In our world, personal responsibility and social responsibility are hardly separable. Personal responsibility becomes responsibility for the world because the person and the world are inseparable. In this chapter, we use the term responsibility from a legal, ethical, moral, and spiritual (LEMS) standpoint as some promise, commitment, obligation, sanctioned by self, morals, law, or society, to do good, and if harm results, to repair harm done on another. Hence, responsibility from a moral perspective is trustworthiness and dependability of the agent in some enterprise. Its inverse is exoneration – the extent to which one is excused from commitment and repairing the harm done to others by one’s actions. We apply the theories and constructs of executive responsibility to two contemporary cases: (1) India’s Super Rich in 2014 and (2) the Fall and Rise of Starbucks. After exploring the basic notion of responsibility, we present a discussion on the nature and obligation of corporate responsibility into three parts: Part I: Classical Understanding and Discussion on Corporate Responsibility; Part II: Contemporary Understanding and Discussion on Corporate Responsibility, and Part III: A synthesis of classical and contemporary views of responsibility and their applications to corporate executive responsibility.