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Taking a multidimensional perspective, the study aims to identify and examine the factors that are essential for employability. The study pursues to understand the underlying causes that facilitate the development of appropriate skills and attitudes that influence the development of employability in an individual.

The study pursued an exploratory research design followed by a descriptive. It explored the employability factors from the perspectives of the recruiter, student (candidate) and trainer. Additionally, it followed a causal research approach to examine the relationship between factors related to the personal environment, academic system, recruiter’s bias, industry and job attributes and overall employability. The antecedents of employability and their impact were examined with all the constructs taking the recruiter, student and trainer data sets.

The study identifies and analyses the antecedent factors that influence the employability development among college graduates and undergraduates. With its findings, the study identifies the changes or improvements required in teaching and learning mechanisms, grooming students and societal practices, social and economic biases in accessibility to facilities leading to employability. It also calls for a reflection on individual’s own attitude, motivation and abilities. The study calls for an assessment of the education systems and academic quality to develop employability among students. It conjures that the alignment of teacher and learner with industry requirements is an imperative requirement for the expansion of the industry and, in particular, the retail sector.

The study will be of significance to the policymakers and academicians while designing the retail-specific courses and aims toward addressing the mismatch amidst the demand and supply of manpower in the retail industry. The study has been designed to make it highly relevant for the students who are potential manpower to the retail sector as well as the employees who have already entered the industry. It addresses the major factors required for India to develop a cohesive and inclusive ecosystem that provides for the benefit of millions of youths in India.

The literature lacks a coherent meaning and measurement of employability and identifies the need to empirically explore and examine employability skills. Furthermore, the scant empirical research focuses largely on employee or student perspective, even when the role of recruitment in the assessment of employability is most critical. This study empirically evaluates the market from the perspective of students, employees, employers, trainers and academicians and develops a model that gives a holistic picture of the causes that influence the development of employability in an individual.

The world is seeing a large deficit in employable workforce. An employable workforce is developed with appropriate combination of academic and practical skills. Practical skills are better developed with industry intervention rather than in classrooms. Changing trends of economic activity have steadily changed the business thought. The purpose of this paper is to assess the role of industry in developing employability by studying employability from the value chain and “Demand-Supply” of workforce models. The scope is limited to Indian context. This paper is a part of the research on factors influencing employability in India.

Literature review, expert interviews and authors’ own experiences and understanding.

It has been found that most of the countries in the world are facing a shortage of skilled and employable workforce. We examined various literature content and studied specific instances in the Industry. The study has shown that in the cases where industry has been actively involved in identifying training needs, the supply of manpower has been adequate. So, it is found that industry's role in employability is crucial and impacts on other macro policies for human development.

As this paper is a part of a larger study on “Factors impacting employability in India,” it is of paramount importance to Indian researchers, students and policy makers. The paper and the research are oriented to identifying causes to the problem of employability, so that systemic changes can be identified.

This paper is based on large amount of literature that is existing in various sources. All the literature has been thoroughly read and assimilated. Suitable references have cited and others have been acknowledged. Most importantly this is an original work of the authors and their views.

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive analytics has developed, from his several other applications, in predictive modeling by using the stochastic point process technique. In the chapter on advance predictive analytics, Dr Iyer is collecting his approaches and generalizing it in this chapter. In this chapter, two of the techniques of stochastic point process known as Product Density and Random point process used in modelling problems in High energy particles and cancer, are redefined to suit problems currently in demand in IoT and customer equity in marketing (Iyer, Patil, & Chetlapalli, 2014b). This formulation arises from these techniques being used in different fields like energy requirement in Internet of Things (IoT) devices, growth of cancer cells, cosmic rays’ study, to customer equity and many more approaches.

The case is based on heated e-mail conversations connected to the delivery of clean bottled water in the campus of a reputed research institute in southern India. The exchange between Tara Sharma (Programme Manager) and Shreejith Nair (Group Head-Engineering Service and Estate) relate to the quality of services provided. The case highlights the viewpoints of various stakeholders involved in the open conversation. This case focusses on the behaviour of a set of underperforming employees associated with a contractor, the reasons, among others, being lack of training and quality awareness. However, training alone cannot be assumed as the only correct solution for handling underperformance. The stakeholders involved need to ascertain the cause of underperformance by analysing whether it is a “Can't Do” –“Won't Do” problem, and identify the ways of dealing with it.

The case deals with an Urban Cooperative Bank situated in Ahmedabad, known as Ahmedabad Peoples Urban Cooperative Bank (APUCB). The bank had come under the scanner of Reserve Bank of India (RBI) during 2009 because of mismanagement. It had failed to resolve its liquidity crisis even after the Reserve Bank of India imposed restrictions. The Government then appointed an external administrator, Hemant J. Rindani, to resolve APUCB's liquidity crisis. The bank had started paying claims but had lost people's trust. The last option for Rindani was to liquidate the bank. Rindani was however contemplating on various other options to come out with amicable solutions like, merge with other branches or pump in fresh capital and restart the business.

1. Probabilistic calculations of cost, and profit/loss using standard probability functions

2. Decision tree to find the expected monetary value (EMV) of different options.

3. Monte Carlo simulation for risk analysis.

4. Risk analysis in project management.

Learners will be able to understand and apply the following: how to approach uncertainty in business decisions using probabilistic calculations of cost, and profit/loss using standard probability functions; how to address uncertainty in business decisions by looking forward and reasoning backward, using the decision tree technique and the EMV of different decisions; how to analyse the risk inherent in business decisions by incorporating probability distributions for all critical variables in the form of Monte Carlo simulation; and appreciation of strategic considerations in risk analysis as it applies to project management

The case describes the challenge facing Vilas Birari, the owner and chief executive of Harsh Constructions, a construction company headquartered in Nasik, India. Birari had to decide on the bid for a construction project in September of 2021, during the COVID-19 (COVID) pandemic. Due to successive waves of the pandemic, the state and federal governments announced lockdowns intermittently, causing uncertainty in costs related to labor, material and project completion. The dilemma before Birari was how to set a bid price that was not so low as to incur a loss and not so high as to lose the bid to competitors. The uncertainty made Birari’s decision-making complex. The case invites students to help Birari find an optimum bid price by using various quantitative techniques, such as Monte Carlo simulation and decision trees.

This case is intended for students of management at a master’s level, in an elective course on management science, which is often also known as decision science. This compact case can be positioned in the second half of the course, when exploring risk management using computer simulation as a tool. The case serves both as an introduction to using simulation to manage uncertainty as well a contrast with simpler methods that are covered earlier in the course.

Teaching notes are available for educators only.

CSS 7: Management Science.

The relationship between religious belief and spousal choice in Nepal is examined, looking at how the importance that individuals place on their own religious faith influences their decision either to allow their parents and other relatives to arrange a marriage for them or to initiate their own love marriage. How the importance attached to religious faith within the individual’s family and neighborhood affects this decision, and how education modifies the relationship between religion and spousal choice are also looked at.

Ordinary least squares regression models are used to examine the relationship between spousal choice and key independent variables. Interaction terms are used to examine how education may moderate the relationship between personal, family, and neighborhood religious salience and spousal choice.

It is found that the effect of one’s neighbors’ faith operates differently based on one’s own level of education. The “moral communities” thesis is used to theorize that in neighborhoods where religion is regarded as very important, individuals need to expend more effort to maintain respectability, adhering to tradition by having arranged marriages. In neighborhoods where religion is less important, the weaker demands made by the “moral community” render individuals more free to choose their own spouses. For highly educated individuals, the effect of their neighbors’ religious belief is considerably reduced.

As Nepalis become more educated, they not only move out of the sphere of family influence, as discussed in previous research, but also away from being influenced by their neighbors.

A paradigm shift is observed in the last decade where transactional marketing is taken over by relationship marketing. Customer relationship management (CRM) has been an integral part of a business strategy in the current era. CRM integrates product sales, product marketing and, most importantly, customer service in a seamless manner to generate value for the organization as well as for its customers in short a win-win situation. Profoundly, CRM needs to be a part of the top management agenda and driven top-down instead of an IT initiative. Industrial revolution 4.0 is characterized by cyber-physical systems. Internet of Things (IoT) is the digital technology for the present and future. IoT primarily aids in gathering real-time data and transmitting the same over the internet to a central repository for consuming the same in business models. Real-time customer data analytics can be performed by customer-centric organizations to enhance CRM.