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The purpose of this study is to construct a new index to assess the impact of an energy price shock on macroeconomic indicators of India. This paper also shows a comparative analysis of the constructed index along with pre-existing World Bank and International Monetary Fund indices on energy.

This paper uses three vector autoregressions and compute the long-term impact of the indices on the considered macroeconomic variables through impulse response functions.

This paper finds that an energy price shock has a detrimental impact on the macroeconomic indicators of India in the long run. This study also finds that the constructed index acts as a relatively more sensitive index in comparison to the International Monetary Fund and World Bank indices, which is bespoke to a developing economy case. This sensitivity is ascribed to dynamic weighting for a different basket of energy components, which are more pertinent to an Indian context.

The novelty of this research lies in the construction of a new index and its comparison to the existing ones. This study justifies why a developing economy would require a different measure of energy as opposed to the existing indices.

The purpose of this paper is to explore the role of university libraries in accelerating the achievement of sustainable development goals (SDGs) through information and communication technologies (ICTs).

The study adopted a descriptive survey design using a researcher developed questionnaire for data collection. In all, 103 professional librarians working in all the university libraries in Ogun State, Nigeria were surveyed. Statistical Package for Social Sciences (version 19) was used to run the analysis.

The university libraries in Ogun State, Nigeria are not lagging behind in the provision of ICT facilities for the delivery of twenty-first century library services. The paper highlights the critical role of university libraries in bridging digital gaps by taking advantage of ICTs to accelerate the attainment of SDGs. ICTs have the capacity to accelerate the actualisation of SDG in all communities. However, illiteracy, lack of political accountability and transparency, lack of financial resources and inadequate power supply were the major challenges impeding the achievement of SDGs in Ogun State, Nigeria.

This paper establishes the role of university libraries in bridging digital gaps through ICTs in order to facilitate the attainment of SDGs.

The paper originality lies in its concise articulation of the roles of university libraries and ICTs in the actualisation of SDGs. Library and information professionals who are eager to contribute their quota to the achievement of SDGs will find this article useful.

The chapter explores how gender has been an integral part of the nation building project in post-liberalisation Hindi cinema, popularly, known as Bollywood.

This chapter is based on primary data gathered through interviews with prominent members of the Hindi film industry along with a detailed content analysis of commercially successful post-liberalisation mainstream Hindi films.

It highlights how the representation of gender has been a central axis around which the tension between tradition and modernity has been played out in Hindi Cinema. The construction of Indianness post-liberalisation has questioned gender politics but proposed easy resolutions which fit into the larger nationalist narrative. In doing so, it has used the diaspora as a category to produce a nationalist account which is simultaneously essentialised and transnational in the quest for projecting India’s aspirations on the global platform.

The chapter provides important insights into the role of popular Hindi cinema, often brushed off as frivolous, in contributing to the mainstream discourse on nationalism post-liberalisation.

Over the last few years, impacts of environmental variability on population migration have been an increasing concern over the world. Estimates have suggested that between 25 million and 1 billion people could be displaced by climate change over the next 40 years. Though it is very difficult to delineate the specific drivers behind human migration, an attempt has been made in this chapter to discuss various reported cases across the world and more specifically, India where environment has played a major role in population movement. The chapter begins by outlining important definitions of migration and environmentally induced migration. It focuses on how environmental change and environmental hazards, especially water scarcity, contribute to human migration by exploring the mechanisms through which vulnerability and migration are linked. The process of movement and migration is usually subject to a complex set of push and pull forces, where push forces relate to the source area while pull factors relate to the destination. Emphasizing water scarcity as one of the prime push factors behind migration, various instances of population movement have been discussed from various parts of India. Understanding the importance of migration in development of a sustainable society, the chapter identifies various gaps that need to be addressed, which, in turn, will help in incorporating environment-induced migration into the decision-making process.

The learning outcomes are to remember the overall context of global supply chain management from a stakeholder perspective, to understand the context of material handling movement in a mining industry, to apply the overall knowledge of linear programming in a supply chain context, to analyze the different constraints with flow of goods at different nodes in various location hubs and convert the same into the optimization problem and to evaluate carefully the different costs associated at different levels and then finding the optimal solution that minimizes the total cost.

This case proposes a mixed integer multi-echelon analytical model integrated with the scenario tree analysis. The integrated model is used to optimize the allocation of volumes at various stages of the supply chain of exporters of bulk materials like iron ore from Goa, India, to various countries in Asia. The scenario tree analysis is then used to evaluate decisions under certainty with demand as the stochastic parameter. The proposed integrated model has potential for collaboration in the supply chain and facilitating network design, inventory and transportation planning and policy analysis.

This course is suitable at the MBA level for the following courses: Operations Research (Focus/Session: Applications on Supply Chain Management), Supply Chain Management (Focus/Session: Global Supply Chain Management, Logistics Planning, Distribution Network), Logistics Management (Focus/Session: Transportation Planning) nd Operations Strategy (Focus/Session: Location Node Strategy).

Teaching Notes are available for educators only.

CSS 9: Operations and Logistics.

Post COVID-19 crisis, healthcare has become a priority for every government. Furthermore, the pandemic has also made us realise why do we need an affordable healthcare delivery service at the grassroots level. As a result, the Government of India has come out with the Ayushman Sahakar scheme. This scheme has been launched by the Union Government with an aim to assist the cooperatives in the creation of healthcare infrastructure in this country. It is pertinent to note that the cooperatives in the last few years have transformed rural areas and have pushed them out of poverty. As a result, it will be interesting to see the impact cooperatives will have in the field of healthcare.

The authors in this work have discussed the history of healthcare cooperatives in India. After this, the authors have analysed the government schemes and legal provisions which regulate the functioning of healthcare cooperatives in this country. In the next part, the authors studied the Ayushman Sahakar scheme. The authors have discussed the features of the scheme and the impact it has generated in the field of healthcare. Lastly, the author has discussed the challenges which healthcare cooperatives face in this country and how we can overcome those challenges.

This study aims to examine the market returns of the Ukrainian stock and bond markets to determine whether they exhibit calendar anomalies including the January effect, weekend effect, and turn‐of‐the‐month (TOM) effect. Ukraine provides an opportunity to examine the efficiency of an emerging market, adding to the extensive body of research on calendar anomalies.

Regression analysis is used to examine the relationship between January returns vs non‐January returns, Monday returns vs non‐Monday returns, and TOM returns vs non‐TOM returns. Non‐parametric t‐tests and Wilcoxon signed rank tests are also used to examine TOM returns vs the rest of the month returns.

There is no evidence of a January effect or a weekend effect in the Ukrainian stock and bond markets. However, our results support a TOM effect in the Ukrainian stock market. The mean daily TOM return is 0.35 vs 0.24 per cent for the rest of the month. Additionally, in 63 per cent of the months, the mean daily TOM return exceeds the return for the rest of the month.

The data are limited to five‐years of daily returns and two different Ukrainian indexes. Thus, the results could be biased by the time period analyzed. The results are important for portfolio managers and investors as they can benefit from the TOM effect, but not the January effect and weekend effect.

This is the first study to our knowledge that has extensively examined the calendar anomalies in the Ukrainian stock and bond markets.

Sustainability is a major challenge for India’s (Bharat’s) coal mining industry. The government has prioritized sustainable growth in the coal mining industry. It is putting forth multifaceted economic, environmental and social efforts to accomplish the Sustainable Development Goals (SDGs). This research aims to identify the factors for sustainable improvements in coal mining operations. Secondly, this study examines the intensity of causal relations among the factors. Thirdly, this study examines whether causal relations exist among the factors to be considered for sustainable improvement in coal mining operations. Lastly, the study aims to understand how the factors ensure sustainable improvement in coal mining operations.

An integrated three-phase methodology was applied to identify the critical factors related to coal mining and explore the contextual relationships among the identified factors. Fifteen critical factors were selected based on the Delphi technique. Subsequently, the fifteen factors were analyzed to determine the contextual and causal relationships using the total interpretive structural modelling (TISM) and DEMATEL methods.

The study identified “Extraction of Coal and Overburden” as the leading factor for sustainable improvement in coal mining operations, because it directly or indirectly influences the overall mining operation, environmental impact and resource utilization. Hence, strict control measures are necessary in “Extraction of Coal and Overburden” to ensure sustainable coal mining. Conversely, “Health Impact” is the lagging factor as it has very low or no impact on the system. Therefore, it requires fewer control mechanisms. Nevertheless, control measures for the remaining factors must be decided on a priority basis.

The proposed structural model can serve as a framework for enhancing sustainability in India’s (Bharat’s) coal mining operations. This framework can also be applied to other developing nations with similar sustainability concerns, providing valuable guidance for sustainable operations.

The current study highlights the significance of logical links and dependencies between several parameters essential to coal mining sustainability. Furthermore, it leads to the development of a well-defined control sequence that identifies the causal linkages between numerous components needed to achieve real progress towards sustainability.

According to Yubin et al. (2023), films serve as a medium for conveying visual representations of various elements such as landscapes, buildings, landmarks and monuments, which provide a contextual backdrop for the narrative. According to Vila et al. (2021), the number of global tourists visiting film locations exceeds 80 million. In addition, according to Yubin et al. (2023), the promotion of tourism is facilitated through the utilisation of films, which serve to create novel representations, counteract negative perceptions and enhance the portrayal of underdeveloped destinations. A significant number of individuals engage in the practise of visiting movie sets with the intention of re-experiencing the emotional impact of the film. The devaluation of film marketing has been observed. This method represents a highly indirect approach to enticing tourists. This chapter examines the comprehension of travellers' motivations and the perception of film-exposed locations in Bollywood films (Salnick, 2023). Film tourism provides a tailored and personalised experience for individuals. The difficulty in measuring this concept arises from factors such as the emotional responsiveness, personality traits, background and interpretive abilities of the viewers in relation to media images. According to Castro et al. (2023), the inclusion of a destination on a screen can serve as a means to enhance the diversity of a site's tourist offerings or mitigate the effects of seasonality by providing opportunities for experiential activities, showcasing notable landmarks or serving as a filming location. Film destinations have the potential to gain popularity and benefit from advertising and the perception of spectators.

The growing incidence of precarious employment across many sectors is a serious challenge for a developing country like India. Neo-liberal arguments justify precarity as essential for the development of the free market economy and advocate realigning human resource practices with an ever-changing business environment and labor cost conditions. This chapter seeks to identify the determinants and dynamics surrounding precarity of workers engaged in temporary employment in India. It uses the unique Employment and Unemployment Survey data set published by the National Sample Survey Organisation of Government of India for two time periods 2009–2010 (66th Round) and 2011–2012 (68th Round) to bring out the dimensions of precarity and identify the determinants (both micro- and macro-levels) of participation in temporary employment. We find that precarious employment is most likely to affect the young, women, non-union members, those belonging to minority and socially deprived communities with low land holding and low educational status. Precarious employment is also most pronounced in states where labor-intensive industries are exposed to global import competition and where labor laws are rigid. The chapter concludes by discussing the implications of these findings for the economic and social policies that Indian governments have adopted in recent years.