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Purpose: This chapter aims to evaluate the significant impact of Gandhian values on sustainable consumption behaviour (SCB) by applying the value-attitude-behaviour (VAB) framework. This chapter contributes by incorporating Gandhian values as one influencing factor for SCB.

Need for the Study: Values are considered as guiding principles in people’s lives. Studies suggest that values and other social and psychological factors can be vital in determining consumers’ behaviour towards sustainable consumption. There needs to be more empirical research on consumer behaviour facets of sustainable consumption for markets in India.

Methodology: The study uses partial least square structural equation modelling to empirically test proposed hypotheses and the research model of the relationship. The study results are based on data collected by administering a survey through a questionnaire confined to India.

Findings: The results indicated that Gandhian values, attitude, and sustainable consumption intention significantly influence SCB. Intention acts as a mediator between both outward and inward environmental attitudes and behaviour. The study provides directions for further research.

Practical Implications: This research study is helpful for researchers, marketers, and policymakers.

Blogs are websites that contain posts about a wide range of topics, often written by fashion enthusiasts referred to as bloggers. With the increasing prevalence and popularity of digital media and social media, fashion bloggers help to attract business and influence and engage various stakeholders, especially customers. The present exploratory study provided valuable insights regarding fashion consumption, preference, and buying behavior of young women consumers of metropolitan cities of India like Delhi, Hyderabad, Bangalore, Pune, and Mumbai. The study was conducted under the domain of exploratory study. Snowball and Purposive random sampling techniques were employed to identify and reach respondents of both categories – women consumers and bloggers. A conscious attempt was made to include women from different demographics such as age, marital status, income, area of residence, employment status, etc. Primary data were collected with the help of questionnaires. The findings of the research revealed bloggers through their blogs are the new trendsetters and influence fashion adoption, especially by the young social media savvy consumers. Their blogs impact public perceptions of fashion and sometimes are precursors of new fashion trends. The findings of the study interestingly brought forth the fact that millennial women buying decision is significantly influenced by fashion blogs for the purchase of clothing and accessories. The findings also clearly indicated that blogs significantly influenced respondents’ attitude toward the purchase of branded merchandise. Fashion bloggers besides providing information and inspiration to the blog readers, also at times assist and/or give consultation to their followers.

This chapter aims to examine the role of consumer demographics over the chosen parameters of online shopping. Online shopping had emerged as an important platform for the consumers during the phase of pandemic spread in India which even included several phases of lockdowns. The state of pandemic commenced at a severe note leading to restrictive movement, social distancing, observing least contact with objects, and several other limitations. Due to this, many businesses had moved to online selling in order to target greater sales. This study was conducted in order to provide insights to various businesses, experts, and academic researchers in this domain to find out the role of demographical and behavioral differences of different consumer segments. It could serve as a robust study providing information about the current consumer behavior at the time of pandemic spread toward online shopping. This would help marketing experts explore the different opportunities and challenges involved in this new scenario formed due to COVID-19. Apart from adding value to the existing literature, this study leads a way to future research.

Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products and services, also allowing them to leverage their strategy in new geographical markets immediately. Although the literature on the subject is comprehensive, there is a gap in identifying the holistic constructs that are the determinants of consumers' choice of an online store. This research resorts to an exploratory study, based on a nonsystematic literature review, seeking to identify these constructs. The results obtained allowed us to identify the following constructs: consumer behavior, customer experience, web content, catalog, terms and conditions, customer support, perceived value, trust, security and privacy, satisfaction, and loyalty. Customer experience, satisfaction, and loyalty constructs stand out from a strategic perspective.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

Purpose: This study analyses the mediating effect of parasocial interaction (PSI) in the link between hedonic motivation and impulsive buying intention (IBI) in fashion vlogging about sustainable cosmetics.

Need for the Study: Due to the mass popularity of YouTube, vlogging has led to an augmented level of PSI of vloggers with consumers, which strongly impacts a consumer’s behavioural consequences and persuades consumers to indulge in impulsive buying. Thus, marketers need to comprehend the changing behavioural patterns, including sustainable products, as this new communication medium serves the future of promotion and advertising.

Methodology: Online questionnaires were administered to 349 Gen Z female fashion vlog followers. Structural equation modelling and Hayes Process macros were employed to test the model relationships.

Findings: Results indicate that PI with the fashion vlogger partially mediates between hedonic motivation and impulse buying intention for sustainable cosmetic products. Fashion consciousness (FC) was also established as a significant moderator between all the model relationships.

Practical Implications: The findings of the study would be helpful for fashion brands in the content development of visual marketing communications, which would tap the female Gen Z consumer. Improving the PSI between the follower and the fashion vlogger can be easily enhanced by delivering the right content through the vlogger’s videos.

Purpose: This research investigates how producers of fast-moving consumer goods (FMCG) in Karachi, Pakistan, embrace sustainable manufacturing and consumption practices.

Study design/methodology/approach: This study employed a mixed research design, incorporating both qualitative and quantitative approaches. The primary method of data collecting utilised in this study was semi-structured interviews. The survey sampled 11 FMCG manufacturers, and the data were analysed using thematic analysis.

Findings: The research revealed that economic variables were crucial in adopting sustainable consumption and production (SCP) practices among Karachi’s FMCG businesses. The economic reasons were motivated by the notion that adopting sustainable practices could result in financial benefits and enhanced market competitiveness. The research additionally discovered that consumer preferences were pivotal in stimulating sustainable practices within the FMCG business. Manufacturers indicated that adopting sustainable products and packaging was driven mainly by consumer demand.

Originality/value: This study contributes to the literature on SCP within the FMCG business. It offers valuable insights into the factors influencing sustainable practices and customer preferences. This study emphasises the importance of economic, social, and environmental aspects in fostering sustainable practices within the FMCG industry, specifically focusing on developing nation environments such as Karachi. This study’s findings can contribute valuable insights for policy formulation and decision-making processes about SCP within Karachi’s FMCG business and other similar contexts.

Purpose: This chapter aims to find the impact of cultural marketing on consumer buying behaviour and analyse the cultural factors affecting consumers’ buying behaviour. Cultural marketing aims to offer and promote a product, a message, or a service to a group of people who may be their potential purchasers and belong to the same culture or particular demographic.

Methodology: This study uses the published research for different countries viz. India, Canada, Germany, the UAE, the UK, the USA, Japan, etc., in the field of culture, cross-culture, and consumer buying behaviour considering various factors and their impact; but in particular, this study focussed on the cultural factors only and analysed their impact on the consumer behaviour of the different countries.

Findings: The study revealed that different countries have their own unique culture. Cultural factors have a positive relationship with consumers’ buying behaviour and exhibit that consumers behave differently towards the same product as per their perception developed by their culture.

Need of the study: Today, the world has become global, and to become a successful consumer oriented market service provider, marketers have to study the psychology of the customers to procure them. This study focusses on one of the essential factors, that is, culture and how cultural factors affect consumer buying behaviour. The study of culture is the gateway to attracting consumers in the market.

Practical implications: The study would help multinational companies in segmentation, targeting, and positioning and developing several marketing strategies for their products. Companies would be able to understand changes in consumer purchasing behaviours that arise from cultural differences, which helps them cater to the needs of their global consumers.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.