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The concept of sustainability has been gaining importance globally due to the growing environmental concerns and rising support from the nations to conserve the planet. Particularly for a country like India, this approach is highly relevant for combating the increasing stress on different sectors of the society due to the growing population. Solid waste management is an important sector that requires an immediate attention in the current context. Implementation of integrated sustainable waste management approach minimizes the waste and provides economic benefits, through best suitable method for managing the waste. In the present scenario, it is difficult for local bodies to apply this approach throughout the country due to diverse conditions and financial constraints. However this approach can be implemented through decentralization of solid waste management by the local bodies at a small scale. Technical institutes have a greater role to play in the society by nurturing the young minds about the need and ways to develop a sustainable society. The paper aims to discuss these issues.

The study area discussed in this paper is Jaypee University of Engineering and Technology situated on Agra-Mumbai national highway, Guna district, Madhya Pradesh, India. It covers an area of 125 acres and houses a population more than 3,000. The present work discusses about the development of strategic plan for sustainable waste management on the campus through the characterization and analysis of waste samples collected from academic buildings, hostels, mess, shopping complex and residential areas for beneficial utilization.

The study revealed that potential benefits such as biogas generation from organic waste, resource optimization through 3R concept (reduce, reuse and recycle) from paper, plastics, cardboard, glass, metals, etc. could be derived by adopting suitable waste management strategy.

The present work discusses the feasible options for the efficient utilization of the components of solid waste through integrated solid waste management system. The university with its diverse nature of wastes generated from academic buildings, hostels, mess, shopping complex and residential areas; provides a good opportunity to understand the options for sustainable waste management on the campus for wider applications.

This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the ontologies for satisfactory coverage and usage.

The study uses a systematic literature review approach to identify 35 DMOs in the domain between the years 2003 and 2021. Various parameters, like purpose, design methodology, operations used, language representation, etc. are available in the literature to review ontologies. Accompanying the existing parameters, a few parameters, like semantic reasoner used, knowledge representation formalism was added and a list of 20 parameters was prepared. It was then segregated into two groups as generic parameters and core parameters to review DMOs.

It was observed that among the 35 papers under the study, 26 papers were published between the years 2006 and 2016. Larisa Soldatova, Saso Dzeroski and Pance Panov were the most productive authors of these DMO-related publications. The ontological review indicated that most of the DMOs were domain and task ontologies. Majority of ontologies were formal, modular and represented using web ontology language (OWL). The data revealed that Ontology development 101, METHONTOLOGY was the preferred design methodology, and application-based approaches were preferred for evaluation. It was also observed that around eight ontologies were accessible, and among them, three were available in ontology libraries as well. The most reused ontologies were OntoDM, BFO, OBO-RO, OBI, IAO, OntoDT, SWO and DMOP. The most preferred ontology editor was Protégé, whereas the most used semantic reasoner was Pellet. Even ontology metrics for 16 DMOs were also available.

This paper carries out a basic level review of DMOs employing a parametric approach, which makes this study the first of a kind for the review of DMOs.

Agri-biotech multinational enterprises (MNEs) are persisting to push genetically modified plant varieties (GMV) worldwide including emerging countries as a technological solution for sustainable development. However, in emerging countries, the structure and effectiveness of regulation and compliance measures to ensure human and environmental safety are much less developed. There are three types of concerns: the economic risks faced by farmers while using existing low-yielding conventional seed varieties, in the face of inadequate institutional mechanisms and safety nets, the long-term environmental risks, and finally, risks posed by other possible externalities. In an attempt to provide some insight on the aforementioned debate, this chapter focuses on a commercially successful GMV—namely genetically modified cotton, also referred to as Bt cotton. The literature on adoption of Bt cotton is first examined, and its findings are confronted with the reality of the introduction and diffusion of Bt cotton in India to derive inferences on how MNE and emerging countries’ governments can manage coexistence. Our findings indicate that in order to be successful, MNEs have to establish the sociopolitical legitimacy of GMV through investment in outreach with regulatory authorities, government departments dealing with the environmental and bio safety, farmer groups, and nongovernmental organizations (NGOs). MNEs also have to keep in mind that pricing and high technology fee can become an impediment for the legitimization of technology. Finally, MNEs can partner with NGOs to educate and accompany farmers to maximize their livelihood, while preserving the ecological sustainability of their farm lands.

While quantitative survey design represents a default research method in the field of hospitality and tourism, qualitative approaches remain largely sidelined. This is particularly true for netnography, a novel method of scientific enquiry that targets the online interactions of various actors. The present chapter seeks to introduce the netnographic approach, outline its implementation in hospitality and tourism, as well as demarcate it from other methods, such as survey, text mining and content analysis. By giving an overview of recent studies employing netnography, the chapter demonstrates applied examples of ethnographic research online, presents a cross-cultural study on disappointing travel experiences and suggests further research avenues, such as cross-cultural investigation. It concludes by discussing strengths and weaknesses of the netnographic approach. The value of this chapter lies in its reflection of state-of-the-art research in hospitality and tourism based on netnography and the proposition of further directions of research.

This paper aims to offer an integrated framework for branded apps (BAs) that highlights research gaps and points to areas for future research.

Using a systematic literature review approach, the authors analyzed more than 100 articles published between 2009 and the present. This research used databases such as SCOPUS, Web of Science, EBSCO and Elsevier’s Science Direct, with a particular focus on articles listed in the 2021 ABS index. The reviewed papers were coded and organized into four categories in terms of themes and concepts: antecedents, mechanisms, outcomes and moderators.

The study identified four types of antecedents (app benefits, personal traits, brand benefits and others) that influence outcomes via cognitive, affective and a mix of both mechanisms, which is termed multipaths. The authors classified outcomes into five areas (financial gains; app benefits; brand benefits; customer benefits; and others). Moderators were grouped into four types (customer individuality; app features; brand characteristics; and others). The authors concluded by recommending promising directions for future research. Specifically, the authors suggested an inverted U-shaped relationship between escapism and customer responses to BAs.

This paper focused exclusively on BAs, differentiating them from other mobile apps. The authors integrated nearly 100+ studies conducted over two decades. This integrated model serves as a guiding tool for understanding the past, present and future of BAs.

This study aims to investigate the shopping behaviour of consumers, mainly in fashion apparels, and intends to understand consumer buying patterns in Indian context. The study was designed to determine the level of consumer's sense of belonging towards apparel shopping by applying the concept of self-congruence.

The study used variance-based partial least squares structural equational modelling (PLS-SEM) on a cross-sectional study conducted on 569 consumers. The study was conducted by using questionnaire to collect the responses from the central zone of India. The results support most of the projected hypotheses.

The study focused on the shopping behaviour of consumer such as self-congruence, impulse buying, hedonic values and consumer satisfaction. The results of the study highlight the association of constructs and analysed the mediation relation of hedonic and impulse buying constructs. The results revealed a positive association among the constructs and also found a partial mediation effect in their relation with constructs.

The findings are outcomes of an empirical study conducted in the fashion apparel industry of India based on the sample set of urban consumers. The study is restricted to the direct and indirect relationship of constructs. Further, research can examine by using moderating constructs like demographic factors (gender, age, income, etc.) and other shopping behaviours (like brand loyalty, brand love, brand attachment) for more clarity in results. Moreover, the study limited is with fashion apparel, whereas there are many categories in the fashion industry like accessories, perfumes, cosmetic products, footwear and also other products industry.

The study provided valuable inputs to the literature of marketing where self-congruence affects consumer shopping behaviour such as impulse buying, hedonic values and consumer satisfaction. The study proposes a practical approach that can help the marketing professionals and product developers to have a deep understanding about consumer shopping behaviour for facilitating consumer-oriented goods in the Indian fashion industry.

This is one of the first studies in the fashion industry to test the association of self-congruence with hedonic value and consumer satisfaction. This relation is not tested in context of fashion apparel. Additionally, this study also examined the mediating effect of hedonic value and impulse buying in relation with self-congruence and consumer satisfaction in the Indian context.

This chapter is focused on India's destination marketing strategies that promote religious tourism. It sheds light on the Government of India's initiatives to attract faithful tourists to sacred locations including holy temples and places of interest for spiritual pilgrims. The tourism business in India has gone through numerous phases of growth. This research reveals how the state government and central governments have stepped up their commitment to develop tourism, including religious tourism, on multiple fronts. It confirms that India can be rightly considered as the land of faith, as spirituality and religion are very prominent, as evidenced by its holy temples and landmarks, located in different regions of the subcontinent. In conclusion, it discusses about the challenges for the future, and elaborates on the opportunities related to promoting religious tourism to target faithful pilgrims and other visitors to “Incredible India.”

The paper applies the theory of planned behaviour (TPB) to investigate how surrogate advertising on social media platforms influences consumer attitudes towards alcohol products. Additionally, it explores the moderating effect of consumer scepticism on these attitudes.

A cross-sectional survey of 304 consumers was conducted to test the hypotheses using variance-based structural equation modelling (VB-SEM). Slope analysis was used to examine interaction moderation effects, while importance-performance map analysis (IPMA) identified key dimensions influencing alcohol purchasing behaviour.

The findings revealed that subjective norms and behavioural intentions significantly influence alcohol purchasing behaviour in the context of surrogate advertising on social media. The results suggest that advertisers should focus on themes of collective consumption, camaraderie and togetherness in their social media advertising content to enhance sale outcomes.

Research on surrogate advertising on social media platforms, particularly in shaping attitudes towards alcohol products, remains limited. This study addresses this gap, offering marketers critical insights into performance-based variables that can help them develop more effective marketing strategies.

This study aims to implement an improved version of the Chimp algorithm (IChimp) for load frequency control (LFC) of power system.

This work was adopted by IChimp to optimize proportional integral derivative (PID) controller parameters used for the LFC of a two area interconnected thermal system.

The supremacy of proposed IChimp tuned PID controller over Chimp optimization, direct synthesis-based PID controller, internal model controller tuned PID controller and recent algorithm based PID controller was demonstrated.

IChimp has good convergence and better search ability. The IChimp optimized PID controller is the proposed controlling method, which ensured better performance in terms of converging behaviour, optimizing controller gains and steady-state response.