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Besides the metrics developed to measure the impact of the video campaign run by the company, the case has serious practical implications for all companies in emerging markets selling budget/low-cost products. Marketing managers can take note of these key performance indicators in evaluating the success of their social media campaigns.More importantly, students need to understand how the campaign managed to integrate uninitiated and less-privileged consumers to the world of social media with aspirational sentiments.

The case deals with a digital media planning activity for a low-cost handset company based in India. TRIVIA International Ltd is a manufacturer and marketer of smart phones and feature phone in the price range of below US$70–100 and US$20, respectively. The phones cater to low-income consumer bracket, which forms the vast microcosm of India. The consumer base is huge, but the purchasing power is very low, so they are at times referred to as the micro-consumer in Bottom of Pyramid approach. To approach this consumer base, Trivia planned a very engaging campaign on social media that yielded positive results, contrary to popular belief that only high-income individuals explore the social media intensively through their smart phones. The chapter ends with a set of recommendations for all digital managers who want to analyse their campaigns effectively via awareness, sentiment and engagement metrics.

The case is meant for all post graduate programs in Business Management, which include the MBAs, Masters in Business Administration and the Executive Development program for managers. The case can also be used in Part Time Business Management programs held over weekends for working professionals. Most likely the students are going to handle this case in their second year of a full-time program or at an advanced level of their career development programs. The subjects so mentioned here were offered as electives or areas of specialization. It is presumed that the students undergoing these courses have basic understanding of marketing management.

Teaching notes are available for educators only.

CSS 8: Marketing.

In autonomous mobile robots, high-level accuracy and precision in 3D perception are required for object detection, shape estimation and obstacle distance measurement. However, the existing methods suffer from limitations like inaccurate point clouds, noise in sensor data and synchronization problems between 2D LiDAR and servomotor. These factors can lead to the wrong perception and also introduce noise during sensor registration. Thus, the purpose of this study is to address these limitations and enhance the perception in autonomous mobile robots.

A new sensor mounting structure is developed for 3D mapping by using a 2D LiDAR and servomotor. The proposed method uses a support vector machine regression (SVM-R) technique to optimize the waypoints of the servomotor for the point cloud reconstruction process and to obtain a highly accurate and detailed representation of the environment.

The study includes an analysis of the SVM-R model, including Linear, radial basis function (RBF) and Polynomial kernel. Results show that the Linear kernel performs better with the lowest 3.67 mean absolute error (MAE), 26.24 mean squared error (MSE) and 5.12 root mean squared error (RMSE) values than the RBF and Polynomial kernels. The 2D to 3D point cloud reconstruction shows that the proposed method with a new sensor mounting structure performs better in perception accuracy and achieves an error of 0.45% in measuring the height of the target objects whereas in previous techniques the error was very large.

The study shows the effectiveness of SVM-R in the 3D point cloud reconstruction process and exhibits remarkable performance for object height measurement. Further, the proposed technique is applicable for future advanced visual applications and has a superior performance over the other conventional methods.

In this article, the authors consider the following nonlinear singular boundary value problem (SBVP) known as Lane–Emden equations, −u″(t)-(α/t) u′(t) = g(t, u), 0 < t < 1 where α ≥ 1 subject to two-point and three-point boundary conditions. The authors propose to develop a novel method to solve the class of Lane–Emden equations.

The authors improve the modified variation iteration method (VIM) proposed in [JAAC, 9(4) 1242–1260 (2019)], which greatly accelerates the convergence and reduces the computational task.

The findings revealed that either exact or highly accurate approximate solutions of Lane–Emden equations can be computed with the proposed method.

Novel modification is made in the VIM that provides either exact or highly accurate approximate solutions of Lane-Emden equations, which does not exist in the literature.

The purpose of this paper is to examine the mechanical characteristics and optimization of wear parameters of hybrid (TiO₂ + Y₂O₃) nanoparticles with Al matrix using squeeze casting technique.

The hybrid aluminium matrix nanocomposites (HAMNCs) were fabricated with varying concentrations of titanium oxide (TiO₂) and yttrium oxide (Y₂O₃), from 2.5 to 10 Wt.% in 2.5 Wt.% increments. Dry sliding wear test variables were optimized using the Taguchi method.

The introduction of hybrid nanoparticles in the aluminium (Al) matrix was evenly distributed in contrast to the base matrix. HAMNC6 (5 Wt.% TiO₂ + 5 Wt.% Y₂O₃) reported the maximum enhancement in mechanical properties (tensile strength, flexural strength, impact strength and density) and decrease in porosity% and elongation% among other HAMNCs. The results showed that the optimal combination of parameters to achieve the lowest wear rate was A3B3C1, or 15 N load, 1.5 m/s sliding velocity and 200 m sliding distance. The sliding distance showed the greatest effect on the dry sliding wear rate of HAMNC6 followed by applied load and sliding velocity. The fractured surfaces of the tensile sample showed traces of cracking as well as substantial craters with fine dimples and the wear worn surfaces were caused by abrasion, cracks and delamination of HAMNC6.

Squeeze-cast Al-reinforced hybrid (TiO₂+Y₂O₃) nanoparticles have been investigated for their impact on mechanical properties and optimization of wear parameters.

The past few decades have seen a gradual convergence in corporate governance norms the world over, entailing a discernible shift towards shareholder primacy models. It holds particularly true of developing countries, many of which have steadily amended corporate governance norms to enhance the scope of shareholder rights. This is usually justified through the rationale that increasing protection for foreign investors and shareholders would mean greater investment in capital market and overall financial market development. In India, the shift coincides with a series of fundamental economic and financial policy reforms initiated in the 1990s: collectively and loosely referred to as “liberalisation”, this process marks a paradigm-shift from a tightly controlled welfare economy to one considerably more laissez-faire in its orientation. A fallout of which was that the need to attract and sustain foreign investments acquired an unprecedented significance. The purpose of this paper is to help the readers understand in this larger context the corporate law reform initiatives in India, particularly those pertaining to shareholder rights and allied issues.

This paper empirically tests the hypothesis that enhanced shareholder protection leads to greater levels of investments, and financial developments generally. It then uses regression analysis to detect if the change in corporate governance, making it more shareholder-friendly, has had any effect on growth in financial market. It is divided into two broad parts. The first tracks the evolution of corporate governance norms in India. A robust qualitative and quantitative analysis is used to determine the tilt towards a shareholder primacy regime that Indian corporate governance regime now displays. The second chapter deals with the regression analysis where the outcome variable is financial market growth, and explanatory variable is the change in the governance regime with relevant control variables.

The authors find that change in shareholder primacy corporate governance has little effect on financial market growth in India. The authors would suggest that instead of changing the law in books, more emphasis should be given to implement those regulations and increase the overall rule of law.

This is the first time that such a wide-scale study has been conducted in India, using Bayesian methods. It ought to be of immense value to professionals and academics both.

This study aims to examine the corrosion and flexural behaviour of advanced hybrid aluminium matrix nanocomposites (HAMNCs) made with a vacuum-assisted stir die casting (two-layer feeding) and reinforced with titanium oxide (TiO₂) and yttrium oxide (Y₂O₃) nanoparticles. The previous researchers have shown that TiO₂ and Y₂O₃ nanoparticles make aluminium composites much more resistant to corrosion and wear.

Salt spray corrosion tests were done on the samples over time as well as the pre-and post-corrosion morphology of the test samples was also investigated. The density, porosity and energy dispersive X-ray of the fabricated samples were observed.

It was observed that a lower corrosion rate of 0.127 mils/year and 0.573 mils/year was seen in the Al/5 Wt.%TiO₂/5 Wt.%Y₂O₃ (HAMNC1) and Al/7.5 Wt.%TiO₂/2.5 Wt.%Y₂O₃ (HAMNC3), respectively. It was evident from the results that the pores and densities of the samples varied with the filler concentrations and matrix filler wettability. HAMNC1 has the lowest values of density and porosity at 2.568 g/cm³ and 9.91%, respectively. At the same time, a significant improvement in the flexural strength of 72 N/mm² was also seen in the HAMNC1 configuration.

The proposed hybrid samples are well suited for aerospace and automobile structural components such as brake drums, discs, engine cylinders and fins.

The mixed influence evaluation of TiO₂ and Y₂O₃ nanoparticles with pure Al on composite samples has not been studied. This research aims to examine the combined influence of nanoparticles on the corrosion aspects of two-step feeding vacuum stir casted products, as well as their morphology.

The aim of this work is to establish a computationally efficient iterative technique for solving the highly nonlinear derivative-dependent boundary value problem (DDBVP). The proposed iterative technique is tested on a one-dimensional mathematical model of the shape of the human cornea, which leads to the highly nonlinear DDBVP.

The approach is a combined venture of quasilinearization along with Picard’s iterative technique. The nonlinear DDBVP is simplified to a sequence of linear problems through a quasilinearization technique. Making use of Picard’s iteration approach, an analogous integral form for the quasilinearized DDBVPs is developed in terms of Green’s function and the convergence controller parameter. The study also covered the convergence analysis of the iterative technique.

Numerical illustrations are presented to evaluate the applicability, efficiency and accuracy of the technique. The proposed technique provides approximate numerical solutions to the corneal shape model with a variety of constant parameters that can arise in different physical situations. In comparison with existing works, the proposed coupled iterative approach has been found to be more accurate and less computationally complex.

This study introduces an efficient coupled iterative technique based on quasilinearization and Picard’s iterative technique to solve a one-dimensional model of a human cornea. The proposed approach is tested on various physical situations that affect the human cornea. Numerical findings are compared with other published results to demonstrate the method’s efficiency and ease of usage.

The purpose of this paper is to evaluate the effect of titanium oxide (TiO₂) and yttrium oxide (Y₂O₃) nanoparticles-reinforced pure aluminium (Al) on the mechanical properties of hybrid aluminium matrix nanocomposites (HAMNCs).

The HAMNCs were fabricated via a vacuum die-assisted stir casting route by a two-step feeding method. The varying weight percentages of TiO₂ and Y₂O₃ nanoparticles were added as 2.5, 5, 7.5 and 10 Wt.%.

Scanning electron microscope images showed the homogenous dispersion of nanoparticles in Al matrix. The tensile strength by 28.97%, yield strength by 50.60%, compression strength by 104.6% and micro-hardness by 50.90% were improved in HAMNC1 when compared to the base matrix. The highest values impact strength of 36.3 J was observed for HAMNC1. The elongation % was decreased by increasing the weight percentage of the nanoparticles. HAMNC1 improved the wear resistance by 23.68%, while increasing the coefficient of friction by 14.18%. Field emission scanning electron microscope analysis of the fractured surfaces of tensile samples revealed microcracks and the debonding of nanoparticles.

The combined effect of TiO₂ and Y₂O₃ nanoparticles with pure Al on mechanical properties has been studied. The composites were fabricated with two-step feeding vacuum-assisted stir casting.

Purpose: The article discusses the use of risk assessment models in the health insurance sector, aiming to enhance the quality of care provided to individuals by leveraging technologies such as cloud-based platforms and remote medical sensors.

Methodology: The article reviews various papers on the topic, examining studies ranging from the impact of co-insurance in Vietnam to the architecture of e-health systems. It also discusses different models for connecting body sensors to cloud-based systems, emphasizing the importance of algorithm and shared data models (SDMs) for the health and insurance industries.

Findings: Findings highlight the increasing trend of individuals, families, groups, corporate houses and governments leveraging health insurance policies to mitigate risks, even in areas lacking basic primary health facilities. The article underscores the significance of technologies like data mining and machine learning in adding value to the insurance sector.

Practical Implications: The article presents an architecture for health risk analysis monitoring, consisting of multiple layers to ensure effective risk management.

Originality: The interdisciplinary study of merging designs for healthcare and insurance is depicted as an ongoing process aimed at improving overall care quality. The article explores innovative approaches and platforms, showcasing the originality in addressing challenges within the health insurance sector.