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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 propose an efficient computational technique, which uses Haar wavelets collocation approach coupled with the Newton-Raphson method and solves the following class of system of Lane–Emden equations:

To deal with singularity, Haar wavelets are used, and to deal with the nonlinear system of equations that arise during computation, the Newton-Raphson method is used. The convergence of these methods is also established and the results are compared with existing techniques.

The authors propose three methods based on uniform Haar wavelets approximation coupled with the Newton-Raphson method. The authors obtain quadratic convergence for the Haar wavelets collocation method. Test problems are solved to validate various computational aspects of the Haar wavelets approach. The authors observe that with only a few spatial divisions the authors can obtain highly accurate solutions for both initial value problems and boundary value problems.

The results presented in this paper do not exist in the literature. The system of nonlinear singular differential equations is not easy to handle as they are singular, as well as nonlinear. To the best of the knowledge, these are the first results for a system of nonlinear singular differential equations, by using the Haar wavelets collocation approach coupled with the Newton-Raphson method. The results developed in this paper can be used to solve problems arising in different branches of science and engineering.

The purpose of this paper is to shed light on the interplay between selected consumer behavior constructs and their individual and joint influences on purchase intentions of global, local, and hybrid brands. This is a topic that is becoming increasingly important as the world moves toward global economic interdependence and increasingly more firms expand abroad.

As the paper is in its conceptual/modeling phase, its research design is not yet complete, nor does it offer any findings. Resting our work on attitude and identity theories, we derive hypotheses about the potential influence of consumer behavior constructs, that is, the levels of the consumer’s global consumption orientation, globalization attitude, consumer ethnocentrism, and consumer cosmopolitanism on global brand attitude and its influence on willingness to purchase global versus nonglobal brands. We also derive hypotheses about influences that might moderate this relationship; specifically the consumer’s affinity with the home country of the particular brand, and the perceived value embedded in the brand.

Our work will contribute to the expanding literature on global consumer culture and consumption patterns and will thus provide valuable insights for international marketing managers and for social policy.

Our work will examine the joint influences of several consumer behavior constructs on brand purchase behavior, in addition to the independent influences of these constructs. It will also explore the possible mediating influence of global brand attitude on purchase intentions and moderating effects, if any, of perceived value and consumer affinity on consumers’ choices of global over local and hybrid brands.

The numerical solution of third-order boundary value problems (BVPs) has a great importance because of their applications in fluid dynamics, aerodynamics, astrophysics, nuclear reactions, rocket science etc. The purpose of this paper is to develop two computational methods based on Hermite wavelet and Bernoulli wavelet for the solution of third-order initial/BVPs.

Because of the presence of singularity and the strong nonlinear nature, most of third-order BVPs do not occupy exact solution. Therefore, numerical techniques play an important role for the solution of such type of third-order BVPs. The proposed methods convert third-order BVPs into a system of algebraic equations, and on solving them, approximate solution is obtained. Finally, the numerical simulation has been done to validate the reliability and accuracy of developed methods.

This paper discussed the solution of linear, nonlinear, nonlinear singular (Emden–Fowler type) and self-adjoint singularly perturbed singular (generalized Emden–Fowler type) third-order BVPs using wavelets. A comparison of the results of proposed methods with the results of existing methods has been given. The proposed methods give the accuracy up to 19 decimal places as the resolution level is increased.

This paper is one of the first in the literature that investigates the solution of third-order Emden–Fowler-type equations using Bernoulli and Hermite wavelets. This paper also discusses the error bounds of the proposed methods for the stability of approximate solutions.

The purpose of this paper is to develop a machine learning model that predicts the component self-alignment offsets along the length and width of the component and in the angular direction. To find the best performing model, various algorithms like random forest regressor (RFR), support vector regressor (SVR), neural networks (NN), gradient boost (GB) and K-nearest neighbors (KNN) were performed and analyzed. The models were implemented using input features, which can be categorized as solder paste volume, paste-pad offset, component-pad offset, angular offset and orientation.

Surface-mount technology (SMT) is the technology behind the production of printed circuit boards, which is used in several types of commercial equipment such as communication devices, home appliances, medical imaging systems and sensors. In SMT, components undergo movement known as self-alignment during the reflow process. Although self-alignment is used to decrease the misalignment, it may not work for smaller size chipsets. If the solder paste depositions are not well-aligned, the self-alignment might deteriorate the final alignment of the component.

It were trained on their targets. Results obtained by each method for each target variable were compared to find the algorithm that gives the best performance. It was found that RFR gives the best performance in case of predicting offsets along the length and width of the component, whereas SVR does so in case of predicting offsets in the angular direction. The scope of this study can be extended to developing this model further to predict defects that can occur during the reflow process. It could also be developed to be used for optimizing the placement process in SMT.

This paper proposes a predictive model that predicts the component self-alignment offsets along the length and width of component and in the angular direction. To find the best performing model, various algorithms like RFR, SVR, NN, GB and KNN were performed and analyzed for predicting the component self-alignment offsets. This helps to achieve the following research objectives: best machine learning model for prediction of component self-alignment offsets. This model can be used to optimize the mounting process in SMT, which reduces occurrences of defects and making the process more efficient.

The coronavirus disease 2019 (COVID-19) pandemic has become a global humanitarian challenge. This scourge has impacted people from all walks of life as well as every economic sector and activity, from travel to automotives, hotels to banking, and supply chain to retail. The pandemic has affected not only physical and mental health but also financial health. Studies have examined the pandemic's economic impact, but very few have examined its impact on personal finances. Efforts to contain the pandemic's spread, such as lockdowns, have resulted in suspended business operations throughout the world that have intensified joblessness. To prepare and protect people from such unforeseen situations, financial education and planning are necessary. We attempt to expand the evidence on this issue by applying a structural equation modelling approach to identify the mediating role of financial literacy programs in preparing and protecting household wealth against sudden worldwide setbacks. The research design is descriptive and exploratory using snowball sampling technique. The data was collected through an internet survey. In total, 400 survey responses were obtained. After testing the measurement model for key validity dimensions, the hypothesised causal relationships are examined in several path models. The results indicated that coronavirus awareness exerts a direct or indirect influence on the financial health of individuals through financial literacy. We conclude that financial literacy has a full mediating effect on the personal finance of individuals during the COVID-19 pandemic. The findings not only contributed to the need and understanding of financial literacy but also have managerial implications. Financial literacy programs provide investment advice and suggestions which are actionable and also work to help individuals to come out stronger in terms of knowledge and skill set when the COVID-19 crisis passes.

The purpose of the study was to find out the effect of authentic leadership on innovative work behavior among employees in the context of Indian startups that have gone global in the past one decade. The study also aimed to investigate the mediating effect of one organizational-level variable, i.e. organizational climate and one individual-level variable, i.e. readiness for change on the direct relationship between authentic leadership and innovative work behavior.

The study used survey method with a sample of 261 employees working in Indian startups that have gone global in the past one decade. Authentic leadership, organizational climate, readiness for change and innovative work behavior were measured using standardized questionnaires.

Structural equation modeling revealed that authentic leadership had significant direct effect on innovative work behavior and this effect was mediated by readiness for change. However, organizational climate had no significant effect.

The findings of the study have important implications for startups that employ millennials as employees and have plans to go global. Millennials have very different characteristics in the workplace and they regard authenticity in the leader very highly. Since they are assertive and they question everything, it becomes imperative for founder-leaders to exhibit authenticity in their actions, words and thoughts.

This is the first study in the context of Indian startups that have gone global by taking important variables of authentic leadership, readiness for change and innovative work behavior.

The learning outcomes are as follows: assessing the changing trend in the needs of the customer, leading to evolution of new types of businesses in the urban areas. Deep understanding of household service industry and its future. Assessing the skills and capabilities required to become an entrepreneur and follow entrepreneurship. Understanding the aggregator, two-sided business model prevailing in the market. Understand the concept of business-to-business (B2B), business-to-consumer (B2C) business model in household industry.

This case study is about two first-generation entrepreneurs from India who started a new innovative service delivery platform, UrbanKare with a vision to organize the household maintenance services industry. The company was founded in 2016 with a seed capital support of the State Government. The idea behind this initiative was to provide customers a professional, reliable and convenient household repair and maintenance services at their fingertips. The biggest challenge they were facing was that of aggregation of service providers (skilled workforce) and maintaining the service quality in the context of B2B and B2C service provision.

PG level courses – Industrial Marketing Startup and Business Entrepreneurship.

Teaching notes are available for educators only.

CSS 8: Marketing.