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Through this case, the students will be able: to study how developments in the external environment impact businesses, in general, and banking sector, in particular, banks/banking, environmental management, financing/borrowing, government, political business risk and politics; to identify the politico-legal constituents of the external environment which significantly influence businesses; and to analyse the pros and cons of loan-waivers as a policy decision on various stakeholders including banks, borrowers, governments as well as the larger society.

The case is symptomatic of the dilemmas faced by the Indian bank employees, in charge of loan-disbursals, torn between seemingly contradictory demands from their top management and the governments.

The case is meant to be used in the course on “Business Environment” both at the UG and PG levels. It can be used along with the module on “External Environment and its Constituents” to augment students’ understanding of the “Impact of Political Environment on Business.” The case can also enrich the class discussion on the PEST (politico-legal/economic/socio-cultural/technological) framework for analysing the forces in the external environment acting upon a business.

Teaching notes are available for educators only.

CSS 4: Environmental Management.

This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship.

To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India.

This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors.

This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes.

According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.

The purpose of this is to classify the social and economic factors which impact the involvement of women in self-help groups (SHGs) for their economic as well as social empowerment.

The research has been conducted in Nainital district of Uttarakhand (India) in 2018. Primary data have been gathered from women respondent only on factors relating to the ownership of asset, housing characteristics and other demographic details. Both SHG and non-SHG women members have been chosen as key informants during the survey. Multi-stage purposive and stratified random sampling has been used for the selection of respondents and SHGs. The logit regression model has been formulated to describe the causes that influence the participation of women in SHGs. Also, an empowerment index has been constructed to measure the effect of SHGs on women empowerment.

The results show that factors including age, education, family type and distance from the market have a significant impact on the participation of women in SHGs. Also, there is a significant difference in both these values which suggests that the value of the empowerment index gets significantly increased after joining the SHGs.

Analytically derived factors have been used to develop an empowerment index. Hence, the present research is valuable for marketing practitioners, entrepreneurs and professionals from the development sector who intend to work amongst SHGs, primarily with women. The paper is valuable for academic researchers in this area so that the limited body of knowledge, on the empowerment index, could be developed.

The present research is unique because the authors did not find work, especially in the context of rural India, in the said area. Factors impacting the participation of women in SHGs along with the impact of participation on empowerment have been explored using the logit regression model, leading to the development of an empowerment index.

The purpose of this study is to identify the emerging challenges that are faced by branded budget hotels in India. The paper aims to do this by exploring the expectations as well as challenges faced by the customers and hospitality managers of branded budgets hotels in India.

Utilizing a multi-method approach, data were collected through literature review, eight in-depth interviews and 422 customer reviews. Thematic analysis using the hybrid approach brings out the challenges faced by hospitality managers of branded budget hotels in India.

Hospitality managers face the following challenges – dipping gross operating profits, higher global distribution systems productivity for international hotel brands, location constraints, high royalty structures for management contracts, regulatory issues, business poaching and unorganized growth, bureaucracy among vendors and contactors and lack of trained manpower. Customer expectations include poor check-in/check-out services, inefficient service management, inconsiderate personnel, poor management of feedback and instances of theft.

This work adds to the body of knowledge using real customer data and thematic analysis. The authors have not come across any scholarly work, especially in the Indian context, which looks at two stakeholders of the branded budget hotel industry. Hence, recommendations from this work are valuable for hospitality managers as well as researchers.

This paper aims to identify emerging themes that can help in understanding the preferences of Indian consumers, in the transition generation (25-44 years) (Sinha, 2011), toward sustainability in the luxury lodging industry.

The paper uses a multi-method approach for data collection. Thorough literature review and personal interviews with marketers were conducted to explore the themes and construct tentative thematic webs. In total, 42 customer inputs were drawn through focus groups and personal interviews to validate the themes. Customer perspective, marketers’ perspective and findings from literature were juxtaposed to understand the themes.

“Influence of Parents, Children and Travel agents”, “Rewards for green behaviour” and “frequent communication around sustainability efforts” have been identified as some of the key motivations for consumers to choose sustainability. Some deterrents have been identified as “limited awareness about sustainability issues in Tier II cities”, “detachment with the hotel’s operations”, “higher prices” and “unchecked wasteful/acquisitive consumption”.

Findings from this research work have implications for the practitioners and policy-makers because establishing an understanding of the factors that deter and motivate consumers for engaging in green behavior is important for designing meaningful marketing strategies.

Findings are based on the analysis of data from customer inputs and industry inputs. Themes in this research work have been analytically identified, and this study has made significant academic contributions to the marketing literature. It also provides valuable insights for the practitioners.

The purpose of this paper is to quantify the benefits of contract farming (CF) on farmers’ income and adoption of food safety measures (FSMs) at the farm level. The paper also investigates the determinants of participation in CF.

The study is based on a survey of 600 tomato farmers from Nepal. Descriptive statistics, regression analysis (using instrumental variable) and propensity score matching have been used to accomplish the objectives of the study.

The study found that the CF ensures higher returns to farmers as well as higher adoption of FSMs at the farm level. The contract farmers earned about 38 per cent higher net returns and had 38 per cent higher adoption of FSM as compared to independent farmers. Caste, occupation, farm size and cropping intensity significantly affected farmers’ participation in CF.

The analysis based on cross-section data has limitations to consider unobserved farmer-level individual heterogeneity.

This study will provide an empirical base to promote CF in Nepal. The study will also contribute to bridge the gap in literature on the drivers of CF and its impact on smallholders’ income and compliance with FSM in Nepal.

The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints.

The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network.

A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics.

Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.

This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.

This study performs an extensive literature review and covers the several aspects of green energy management operations.

The findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.

The study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.

New varieties of paddy are constantly being developed in India in order to sustain yield gains in the face of biotic and abiotic stresses. In this study, the authors attempt to identify the drivers for adoption of new varieties of paddy in India; the authors also estimate the impact on yield of the adoption of new paddy varieties.

Survey data consisted of the reported information from approximately 20,000 paddy farmers in India. The study employs Cragg's double-hurdle model to study the probability and intensity of adoption of new varieties; we use regression discontinuity design to estimate the change in yield due to adoption of new varieties.

The authors’ findings indicate that the adoption of new varieties of paddy in India varies significantly within and between regions; further, the adoption of new varieties is affected by a number of socioeconomic and demographic factors; the authors also find that the adoption of new varieties increases yield significantly.

These are observational data and not based on the experiments. The authors relied on farmers' memory to recall the information.

The authors suggest the formulation of strategic policies that can cater to the needs of regions and states that are lagging behind in the adoption of new paddy varieties.

This study investigates the impact of contract farming in onion, okra and pomegranate production on profits of smallholder farmers in India. It also investigates the determinants of farmers’ participation in contract farming. The study is based on a survey of 1,131 farmers from Maharashtra, India engaged in the cultivation of these three crops.

This study uses instrumental variable regressions and quasi-experimental methods to decipher the impact of contract farming.

The study reveals that contract farming ensures higher returns for smallholders, enables their access to high-end markets and brings in risk-sharing with protection during price fluctuations. Farm size and farmers’ risk perceptions are significantly associated with their participation in contract farming.

The study is based on cross-sectional data, which presents limitations on considering unobserved farmer-level individual heterogeneity.

The study shows that contracts highlight the functioning of the contractor/integrator on both the input and output sides of the market. By providing better-quality inputs on credit and at discounted prices and by providing training, the integrator helps small farmers meet international food safety and quality standards, a historically difficult challenge for smallholders in India.