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The students will get a hands on research techniques like mental mapping, laddering and means end chain (MEC) model for value proposition and survey techniques.

Market Research has always acted as one of the major driving force behind the successful launch of any product in any market. There are several evidences of how market research and thorough understanding of the consumers in and out has lead companies reach new peaks and acquire market share. This case deals with a company called Eco-Remedies, based in Nashik, India, which is in the business of providing eco-solutions to different health ailments and also general purpose health supplements like health drinks. The major concentration is on the product called “AnjaNeya-The Graviola fruit drink” from Eco-Remedies, where in different research techniques were used to gather information so that appropriate strategies could be implemented in order to increase the market share of the product and create a strong position in the minds of the customers. The case deals with gathering consumer insights and then developing appropriate positioning strategies for Eco remedies based on consumer value proposition using the MEC theory, mental mapping, blind tests and general consumer survey.

The study is applicable to Masters level Marketing Management and Marketing Research Studies.

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Marketing.

Purpose: Green computing is a way of using the computer resource in an eco-friendly while maintaining and decreasing the harmful environmental impact. Minimising toxic materials and reducing energy usage can also be used to recycle the product.

Need for the Study: The motivation of the study is to use green computing resources to decrease carbon emissions and their adverse effect on the environment.

Methodology: The study uses a qualitative method of collecting resources and data to address the opportunities, challenges, and future trends in green computing for Sustainable Future Technologies. The study focusses on multiple kinds of cloud computing services collected and executed into single remote servers. The service demand processor offers these services to the client per their needs. The simultaneous requests to access the cloud services, processing and expertly managing these requests by the processors are discussed and analysed.

Findings: The findings suggest that green computing is an upcoming and most promising area. The number of resources employed for green computing can be beneficial for lowering E-waste so that computing can be environmentally friendly and self-sustainable.

Practical Implications: Green computing applies across all industries and service sectors like healthcare, entertainment, tourism, and education. The convergence of technologies like Cloud Computing, AI, and Internet of Things (IoT) is greatly impacting Green Supply Chain Management (GSCM) market.

The purpose of this study is to develop a novel and practical series-parallel inventory-redundancy allocation system in a green supply chain including a single manufacturer and multiple retailers operating in several positions without any conflict of interests. The manufacturer first produces multi-product and then dispatches them to the retailers at different wholesale prices based on a common replenishment cycle policy. In contrast, the retailers sell the purchased products to customers at different retail prices. In this way, the manufacturer encounters a redundancy allocation problem (RAP), in which the solution subsequently enhances system production reliability. Furthermore, to emphasize on global warming and human health concerns, this paper pays attention both the tax cost of industrial greenhouse gas (GHG) emissions of all produced products and the limitation for total GHG emissions.

The manufacturer intends not only to maximize the total net profit but also to minimize the mean time to failure of his production system using a RAP. To achieve these objectives, the max-min approach associated with the solution method known as the interior point method is utilized to maximize the minimum (the worst) value of the objective functions. Finally, numerical experiments are presented to further demonstrate the applicability of the proposed methodology. Sensitivity analysis on the green supply chain approach is also performed to obtain more insight.

The computational results showed that increasing the number of products and retailers might lead into a substantial increase in the total net profit. This indicated that the manufacturer would feel adding a new retailer to the green supply chain strongly. Moreover, an increase in the number of machines provides significant improvement in the reliability of the production system. Furthermore, the results of the performed sensitivity analysis on the green approach indicated that increasing the number of machines has a substantial impact on both the total net profit and the total tax cost. In addition, not only the proposed green supply chain was more efficient than the supply chain without green but also the proposed green supply chain was very sensitive to the tax cost of GHG emission rather than the number of machines.

In summary, the motivations are as follows: the development of a bi-objective series-parallel inventory-RAP in a green supply chain; proposing a hybrid inventory-RAP; and considering the interior point solution method. The novel method comes from both theoretical and experimental techniques. The paper also has industrial applications. The advantage of using the proposed approach is to generate additional opportunities and cost effectiveness for businesses and companies that operate utilizing the green supply chain under an inventory model.

The purpose of this study is to analyze the current scenario of private labels from consumers and retailers’ point of view and provide inputs to the retailers that will help them to increase their profitability. Profitability for retailers is a resultant of efficient inventory management in a limited space. This paper studies consumer’s purchase behavior and facilitates retailers in their decision-making of the dilemma between the appropriate mix of national brands (NBs) and private labels to increase their profitability. Retailers will be able to do cross-merchandising of the categories of the goods having strong associations and will increase the shelf space of the products, which are preferred by customers.

Market basket analysis was done for 1,223 transactions including two or more product categories in each transaction. In total, 564 products were studied and these products were further divided into 23 categories. Lift analysis was done 4 times to find an association between the products of all the categories.

The results find a strong association between some categories and advocate the placement of these combinations together – one being a NB and another private label.

Analysis of only a limited set of brands and their product categories for a value retailer cross-merchandising.

The analysis of sales transactions will help retailers in determining the associations between product categories. This association will be helpful in placing their private labels vis-à-vis NBs to do cross-merchandising and allocating judicial space to the product assortment to increase their profitability.

The recent COVID-19 pandemic has (triggered) lots of interest in work from home (WFH) practices. Many organizations in India are changing their work practices and adopting new models of getting the work done. The purpose of the study to look at the boundary-fit perspective (Ammons (2013) and two factors, namely, individual preferences (boundary control, family identity, work identity and technology stress) and environmental factors (job control, supervisor support and organizational policies). These dimensions are used and considered to create various clusters for employees working from home.

K-mean clustering was used to do the cluster analysis. Statistical package for social sciences 23 was used to explore different clusters based on a pattern of characteristics unique to that cluster, but each cluster differed from other clusters. Further analysis of variance test was conducted to see how these clusters differ across three chosen outcomes, namely, work-family conflict, boundary management tactics used and positive family-to-work spillover effect. The post hoc test also provided insights on how each cluster differs from others on these outcomes.

The results indicated four distinct clusters named boundary-fit family guardians, work warriors, boundary-fit fusion lovers and dividers consistent (with previous) research. These clusters also differ across at least two major outcomes like boundary management tactics and positive spillover. The high control cluster profiles like Cluster 3 (boundary-fit fusion lovers) and Cluster 4 (dividers) showed low technostress and higher use of boundary management tactics. Cluster 3 (boundary-fit fusion lovers) and Cluster 1 (boundary-fit family guardians) having high environmental influencers also showed higher positive family-to-work spillover.

Because this study is very specific to the Indian context, a broad generalization requires further exploration in other cultural contexts. The absence of this exploration is one of the limitations of this study. On the culture continuum, countries may vary from being individualistic on one extreme to being collectivistic on the other extreme. Interaction of these two cultural extremities with the individual and the environmental dimension, as espoused in this research, can be examined further in a different cultural setting.

This study has extended the work of Ammons (2013) and added external influencers as a dimension to the individual preferences given by (Kossek 2016), and created the cluster for employees in the Indian context. This study has demonstrated the importance of reduced technostress, and the use of boundary management tactics (temporal and behavioral) leads to positive family-to-work spillover. It has also emphasized the relevance of organization policies and supervisor support for better outcomes in WFH.

This paper aims to investigate the usage pattern of electronic resources (e-resources) among management graduates. The respondents were asked about the types of e-resources they used, who their influencers were, their preferred place for surfing, the frequency of use, purpose for which they used e-resources, its benefits and the problems they faced while using e-resources. The findings of the study will help in enhancing the usage of e-resources among students who opt for management courses.

This descriptive research was conducted in Nagpur, Maharashtra (India). Data collected from 150 management students through purposive sampling were analyzed through descriptive statistics, and the responses were presented in tabular form.

The investigation reveals that students are well aware of e-resources and consider them to be very useful for their academic performance. Interestingly, students are found to be using non-paid resources more than paid ones because of a lack of search skills. Discipline-wise investigation reveals that students from the disciplines of information technology, economics and finance use e-resources more frequently than those studying subjects like marketing, operations and human resource management. Faculty and training have emerged as strong influencers that have persuaded students to use e-resources.

The present study is limited to students studying management courses in Nagpur, Maharashtra (India).

This research will help institutions, librarians and publishers in gaining insight on the utilization patterns of e-resources. The uniqueness of this study lies in the fact that it has analyzed and presented the responses of management students belonging to different disciplines in management studies such as, marketing, finance, human resource management operations, economics and information technology regarding their usage patterns of e-resources.

This case describes the experience of Kanpur Confectioneries Private Limited (KCPL), a family managed company, in being a contract manufacturer for A-One Confectioneries Private Limited. The alliance had worked to the advantage of KCPL. It had prospered as a profitable contract manufacturer. It had used the surplus to diversify into unrelated businesses. The family members, however had doubts regarding the employment opportunities provided by the move. They were not sure whether the progress was sustainable. Alok Kumar Gupta, Chairman and Managing Director of KCPL, along with his brothers and son, is required to review the strategy and performance of his company and develop a course of action for the future.