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The case collates secondary data pertaining to Maruti’s current position, Nexa, the premium retail sales channel of Maruti, and recent developments in the Indian automobile industry. It presents the facts and data published on websites, newspapers and magazines in the form of a case study.

Nexa was launched by Maruti in 2015 to enhance the buying experience of its premium customers and to re-position itself as a premium brand. It started offering customized services to car purchasers through its well-trained employees, attractive store environment and omni channel experience. Through all these facilities, though Nexa had a bumpy ride for selling its first product, it managed to pace up and perform better in the next few years. It remained to be seen how Maruti would handle competitor and cost challenges and how it would strategize its efforts to strengthen its footprint in the Indian automotive industry.

This case can be used in retail management, sales and distribution management, marketing management and related courses/modules at the master’s level.

This paper aims to introduce the Schmid–Leiman solution (SLS) as a useful tool to interpret the results of higher-order factor analyses in marketing research irrespective of the type of higher-order factor structure used (formative or reflective).

Two studies, one with retail shoppers in India and another with undergraduate students in Hong Kong, are used to compare different types of higher-order factor structures to test the utility of SLS.

The authors show that whether a reflective or a formative model is used to operationalize a higher-order construct, using SLS as an additional analysis gives useful insights into the factor structure at different levels and helps isolate their unique contributions to the explained variance.

The authors test higher-order models for store environment and consumer impulsiveness with data from retail shoppers and undergraduate students in two Asian countries, which may restrict the generalizability of the study findings. Future research may try to replicate our findings with other higher-order constructs and consumers in other countries.

The authors offer a checklist that can be used by future researchers to evaluate alternate higher-order factor structures and choose the appropriate one for their research context.

The authors show that using SLS is especially useful when there is a lack of clarity on the nature of relationships between the factors at different levels or about the independent contribution of the factors at different levels, in a higher-order factor structure.

This study investigated the antecedents influencing purchase intentions of sustainable luxury products using the stimulus-organism-response (S-O-R) model.

The data were collected from 513 participants through surveys about recent purchases of sustainable luxury products. As part of this study, the authors visited luxury retail outlets in Hyderabad, Mumbai and Chennai, and AMOS version 23 was used to analyze the data.

Consumer trust and attitude (organism) are positively influenced by utilitarian, hedonic, epistemic, social and self-image (SEI) stimuli. Consumer trust and attitude (organism) have a significant impact on sustainable luxury purchase intention (response). In addition, escapism (ESC) moderated the organism–response relationship.

As a result of the findings regarding utilitarian, hedonistic, epistemic, social and SI aspects of luxury brands, practitioners can develop sustainable marketing strategies that will promote luxury brands.

This study contributes to the existing literature by examining the moderating role of entertainment (ENT) and ESC in the S-O-R model in terms of antecedents influencing the purchase intention of sustainable luxury products. Furthermore, this new model contributes by providing a deeper understanding of sustainable luxury shoppers' intentions in India through analyzing purchase intentions for sustainable luxury products.

This paper aims to explore the process by which four store environment (music, light, employee, and layout) and two individual characteristics (shopping enjoyment tendency (SET) and impulse buying tendency (IBT)) influence impulse buying behavior through positive and negative affect, and urge to buy impulsively.

The data were obtained using a structured questionnaire from 733 respondents in a mall survey conducted in Chennai, South India.

In the structural model tested with AMOS, the authors found that store environment drove impulse buying (IB) through positive affect and urge. Results also showed that the personality variables (SET and IBT) influenced IB through positive affect and urge. This paper did not find support for the relationship between negative affect and urge.

Theoretically, the authors add to the list of antecedents of impulse buying, and to the outcomes of store environment. From a managerial viewpoint, the authors suggest that retail managers invest in improving the store environment to increase the level of impulse buying in their stores. Specifically, they need to focus on enhancing friendliness of store employees, playing appropriate music, designing proper layouts and having well-lit stores to encourage impulse buying.

Prior research studied the elements of the store independently and also its long-term impact. To the best of the authors' knowledge, their research is the first to study the impact of store environment (in conjunction with trait variables) on impulse buying.

This study aims at understanding how higher education institutions (HEIs) can contribute to sustainable development, by designing their programmes for bringing about a transformative impact on communities and students, and also to examine what alternative pedagogical approaches could be used for that. In the past decades, HEIs have increasingly created social innovation (SI) programmes, as a way to achieve United Nations Sustainable Development Goals. These community-oriented and field-based programmes are difficult to ally with conventional classroom education. This study explores how these programmes could integrate the participatory approach and what would be the benefits. It also investigates the effectiveness of the experiential learning approach for teaching sustainability.

A case study method is used to document SI projects initiated by an HEI programme in rural India.

It was found that the participatory approach contributes to empowering communities and also benefits the students in terms of academic, professional and personal growth. Empirical findings show that experiential learning is an efficient method to teach sustainability. Ultimately, both pedagogical approaches are found to be mutually beneficial.

This study fills a gap in the literature, by providing empirical evidence on how HEI can implement innovative educational strategies such as participatory approach and experiential learning in their programmes towards teaching sustainability. A conceptual model for HEI interested in developing similar programmes is also proposed. To the best of the authors’ knowledge, this study is one of the first studies focusing on the context of Indian HEI.

This study aims to describe on-site determination of pH in aquaculture using a portable colorimeter.

A basic and inexpensive portable colorimeter having light sources of different wavelength has been optimized for the determination of pH. A chromic reagent is optimized to develop colors depending on different pHs. Then, the color is measured using portable colorimeter in terms of resistance. Using the resistance to absorbance relationship, the resistance values are converted to absorbance. The performance of the developed colorimetric system is compared with commercially available colorimeter and pH meter. Eighty brackish water aquaculture samples were tested using the developed colorimetric system to check its adaptability in aquaculture farms.

A chromic reagent optimized in this study exhibited linear relationship with the pH changes of pH standards. Portable colorimeter having three different light sources is optimized using this chromic agent for determination of pH. Colorimeter possessing yellow light revealed more linear results than the others. The developed colorimetric system determines the pH of aquaculture water with an accuracy of ±0.14 in comparison with commercial colorimeter at the pH range of 6.0−9.0.

pH plays a pivotal role in aquaculture, impacting not only productivity but also profitability. The colorimetric system introduced in this research is promising for pH measurement in the field of brackish water aquaculture. The on-site pH assessment facilitated by this colorimetric system holds significant potential for adoption within the aquaculture sector, owing to its precision, portability, simplicity of use and user-friendly nature.

Introduction: Artificial intelligence (AI) assists recruiters in effectively and efficiently nominating applicants precisely and accurately. It helps in the screening of resumes without biasness. This chapter will identify different AI technology and various organisations using it fully or partially.

Purpose: This chapter aims to get insights about various AI tools that assist human recruiters, save time and cost, and provide modern experiences. It will help identify various applications that are currently in use and their features. It also helps in finding out the benefits and the challenges faced by the recruiters and the applicants while assimilating those applications in hiring.

Need for the Study: The study will be helpful to all those recruiting firms who are presently using AI or not using it to understand the benefits and challenges they might face.

Methodology: The chapter will be based on reviews and industry reports. This chapter will include a study related to human resource (HR) functions where AI is used. To give more insights into AI technology, this study mentions various applications like Mya, Brazen, etc., and their usefulness in recruitment. Also, special emphasis would be given to the recruitment functions as most companies use AI. Some companies like Deloitte and Oracle are using AI fully or partially will also be incorporated.

Findings: The study finds out that although many companies have started to use AI tools for recruitment, they have not explored all the algorithms that can be used to complete the whole recruitment and selection process. Companies like Loreal use AI for candidate applications and recruiter screening, but human recruiters stand strong for assessments and interviews. AI’s widespread use presents human resource management (HRM) practitioners with both opportunities and challenges.

Practical implications: The basic idea of the study is to scrutinise the related literature and find out the features, advantages and limitations/challenges of using AI which would be helpful for recruiters in better understanding of the technology-driven recruitment.

This study aims to experimentally investigate branded functional beverage (BFB) consumption behaviour post-COVID-19 through the lens of a conceptual framework built on three renowned behaviour modification models and to critically evaluate how well subjective norms serve as a moderator in the consumption behaviour relating to such beverage products.

A conceptual model was developed based on the tenets of the theory of planned behaviour (TPB), health belief model (HBM) and value-attitude-behaviour (VAB) model. The study was performed on a convenience sample of 537 respondents aged 18 and up from diverse regions in India using the PLS-SEM method. A total of 444 useable questionnaires were utilized for the final data analysis.

Given the post-pandemic setting, the perceived benefits of BFBs significantly influenced its purchase intention and consumption behaviour. It could grossly impact the media's role (information about COVID-19) and the consumers' interest in healthy food. The study revealed that the information about COVID-19 (role of media) strongly increased interest in healthy food, whereas interest in healthy food positively influenced purchase intention of functional beverages. With interest in healthy food as a “mediator”, the role of media (information about COVID-19) positively influenced purchase intention. It is worth noting the moderating role of subjective norms in the relationship between the role of media (information about COVID-19) and interest in healthy food and that between interest in healthy food and BFB purchase intention.

Food marketers shall skillfully use “opinion” leaders and subject experts in marketing communication campaigns to popularize the link between good food and immunity through COVID-19 and healthy diet-related messages sent via a suitable media platform. This would grab food consumers' interest in BFBs and persuade them to incorporate such items in their daily food milieu. Consumers need to be assured that consuming “functional” products would deliver health benefits and upkeep their body immunity in the post-COVID-19 times.

There has been minimal research on the link between perceived benefits, the role of media, interest in healthy food and consumption behaviour on functional beverages in the post-COVID-19 setting. Moreover, subjective norms have never been probed as a moderator in the consumer behaviour studies on BFBs. This pioneering study applied the tenets of the TPB, HBM and VAB model in the context of post-pandemic functional beverage consumption. The altered study settings caused by the COVID-19 pandemic and the context of a developing economy like India have amplified the research value of this study.

The COVID-19 pandemic has transformed consumer buying behavior across the world. COVID-19 crisis brought a behavioral change in consumers' attitudes toward health, financial and social well-being. The current research work highlights the factors influencing consumer buying behavior during the COVID-19 pandemic considering saving and safety perspectives.

This study attempts to understand the gap in buying behavior with reference to saving and safety. Survey-based study was conducted during the second phase of COVID-19, and the respondents were those who lived in highly affected COVID cities in India. Exploratory factor analysis and multiple regression analysis were carried out for testing the hypotheses.

Seven factors became the prominent factors in consumer buying patterns during the pandemic. Consumers in the times of COVID-19 pandemic spend only on essential items as compared to nice-to-have and non-essential items.

Respondents considered in the research were millennials aged 25–40. The current research is limited to specific geographic location.

The study assessed how savings and safety influence consumer buying behavior. The 2S framework model for consumer buying behavior during pandemic has been developed. The findings of the study provides a road map to the companies, policy makers, managers and consumers in understanding the consumer buying behavior during pandemic.

The current research work observe the changes in the behavioral patterns of consumers in the context of 2S framework, i.e. saving and safety. This study offer novel contribution as there is no available literature that examined the saving and safety aspects together for consumer buying behavior during crisis.