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Consumer preference towards private label brands with reference to retail apparel in India /
Indian Journal of Marketing, Vol.49, Issue 7, pp. 49-66, ISSN No: 0973-8703. -
Consumer Preferences for Large Retail Chains vs. Local Grocery Stores: A Theoretical Analysis of Key Influences
This chapter explores consumer preferences in the grocery retail sector, focusing on the competition between large retail chains and local grocery stores. The authors aim to identify key psychological, economic, and sociocultural factors influencing consumer choices. By analyzing these factors, the chapter seeks to inform retail strategies that promote sustainability and community welfare. It discusses the evolution of grocery distribution, highlighting the impact of e-commerce and changing consumer behaviors on traditional shopping patterns. Theoretical frameworks such as the Theory of Planned Behavior and the Stimulus-Organism-Response model are employed to understand consumer motivations. Additionally, the chapter emphasizes the importance of local grocery stores in fostering community connections and providing personalized service. Ultimately, this chapter contributes valuable insights for practitioners and policymakers to navigate the complexities of consumer behavior in a dynamic retail environment while advocating for a balanced coexistence of different retail formats. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Consumer response towards personalised pricing strategies in online marketing
E-tailers are now capable of customising prices for an individual buyer or a group of buyers who exhibit similar behavioural traits and perceived ability to pay. Tailoring prices based on personal information may evoke unanticipated reactions as it could infringe users privacy and hurt fair price perceptions. To investigate the potential impact of positive and negative online personalised pricing situations, this study conducted a controlled experiment to observe the changes in consumer behaviour in a personalised pricing context. Seven hundred and twenty responses were collected from thriving online-active communities in India and Malaysia, both countries with high growth of e-commerce activities. Consumers reaction towards fair price, customer loyalty, privacy concern, purchase satisfaction; and the influence of these constructs on post purchase behaviours such as repurchase intentions, revenge intentions and strategic purchase intentions were analysed using PLS SEM modelling. Results indicate online consumers in both countries have high privacy concerns, and as it increased, their repurchase intentions decreased correspondingly. Strategic purchase intentions and revenge intentions increased regardless of positive and negative purchase situations, while purchase satisfaction mediates fair price perceptions and repurchase intentions. Copyright 2021 Inderscience Enterprises Ltd. -
Consumer Trust and Online Security in the UK Banking Sector
The expanded use of online banking has generated major worries about consumer trust and the security of their financial information. As online banking becomes more prevalent in the United Kingdom it becomes essential to ensure consumers trust the security measures of these platforms. This research examined what elements create trust and security among consumers in the UK online banking industry. The study examined critical components including perceived usefulness, navigation simplicity and security effectiveness to understand their impact on consumer trust. The study proves significant because it fills research gaps while delivering valuable insights that help financial institutions improve consumer trust through enhanced user experience and security measures. The research objectives were met through quantitative methods which involved gathering data using an online survey from 55 participants from 1st October to 30th October 2024. The survey targeted multiple aspects such as ease of navigation through the platform, the perceived usefulness of the system, user concerns about information security, and trust levels in online banking security measures. Through descriptive statistics, correlation analysis and linear regression techniques researchers analysed data to uncover how different factors affect consumer trust in online banking. The study utilized the Technology Acceptance Model (TAM) and Protection Motivation Theory (PMT) as guiding theoretical frameworks for analysis. Three main factors including ease of navigation, the perceived usefulness of the system, and security information concerns emerged as significant drivers of consumer trust in online banking security. Although customers trust existing security protocols they require ongoing improvements and clear communication to sustain their confidence levels. Banks can use these findings to improve online platform trust by enhancing security measures and user experience. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Consumer willingness to adopt digital coupons in post-demonetization and COVID-19 in India
This study aims to examine the factors influencing consumers willingness to adopt digital coupons in India. It focuses on the impact of two major events: demonetization in 2016 and the COVID-19 pandemic. Together, these events have caused a shift toward digital payments and digital coupons, changing consumer behavior in favor of digital solutions. This study specifically focuses on consumers in Jaipur, both urban and rural, to capture the unique dynamics of this geographical region. In this study, 110 respondents from different demographic groups were given a structured questionnaire. 12 respondents were selected for in-depth qualitative interviews to learn more about the factors that promote and hinder the use of digital coupons. Quantitative data analysis is conducted using SmartPLS 4 software, and the qualitative interview data are analyzed thematically. The regression analysis reveals that convenience and perceived value drives the use of digital coupons, with 75% of respondents reporting their adoption. The findings bring into perspective how the digital consumer landscape of India is evolving and what role incentives play in digital marketing in driving consumer preference and shaping the long-term feasibility of the strategy. The conclusion reinforces that the use of digital incentives for consumers will be influential in choices and underlines the feasibility of digital approaches in the new consumer environment in India. C. Anirvinna, Deepak Jha, Rapaka David Goodwin, Deepak Pokhriyal, 2025. -
Consumers Online Shopping Behaviour: A Post-COVID-19 Analysis in India
The global outbreak of the novel coronavirus disease (COVID-19) has changed the daily lives of citizens across the globe. As the world begins its slow transition from managing the COVID-19 alamity to recovery and the reopening of economies, its clear that the period of lockdown has had a reflective impact on how people live and how they will continue to lead their lifestyles. The OVID-19 outbreak is not only a health crisis but also one that has invaded our societies and economies. This period will certainly change consumer behaviour in the coming years. However, it is expected that certain behaviours may return to normal after such calamities; nonetheless, since consumers have discovered some new alternatives during this period, they may have changed consumer behaviour. Hence, this study is an attempt to analyze the impact of the COVID-19 pandemic on the Indian economy and the modified behaviour of consumers towards the e-commerce sector in India during this pandemic-induced digitalization. 2025 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. -
Consumers Perspective Toward Fintech Disruption in Financial ServicesA Structural Equation Modeling Approach
For nearly a decade, banks have faced an unprecedented array of challenges, with shrinking revenues and intense pressure from consumers and regulators. Compounding this tough environment is a powerful new force that has emerged to challenge banks, financial technology (FinTech) firms. These innovative start-ups are striving to take a share of financial services customers, products, and revenue. Financial Consumer Demands for Tomorrows Digital Bank, investigated what consumers value from their main financial service provider and how well banks are meeting consumers needs. The study revealed a demand for value-added services that supplement traditional banking products, while also solidifying the importance of seamless, anytime/anywhere, omni-channel service channels. This study is such an attempt to analyze the consumer perspective based on the Fintech Disruption in Financial Services in Pune city among 150 respondents. The tools used for this study are ANOVA, regression analysis, and structural equation modeling (SEM). Hence, this study concludes that financial institutions have a lot on their plate: emerging competitors, shifting demographics, rising customer expectations, and changing regulations. Technology offers solutions, allowing financial institutions to cut costs and become more efficient at what they do. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Consuming Appetites, Disappearing Meals: Things Becoming Food in Chana Porters The Thick and the Lean
This paper aims to highlight the complex entanglements between the material and metaphorical meanings of food in literature through a close reading of Chana Porters The Thick and the Lean (2023). The novel follows the appetites and aspirations of three women in an alternative world where good food is taboo and culinary pleasures are forbidden; instead, abstinence from eating is hailed as the ultimate form of devotion. Drawing on Emma Roes conceptualization of things becoming food, this paper examines the mechanism through which foodstuff gainsor fails to gainmeaning in Porters food-averse universe. It argues that the novel challenges conventional perceptions of female appetites by reconfiguring edibility as constituted through intercorporeal as well as discursive practices. The paper approaches this process as a form of translation, contending that Porter integrates content and form to highlight the resistive potential of food and female appetites in capitalist food systems. 2025 Taylor & Francis Group, LLC. -
Consuming Identities in Foodways
[No abstract available] -
Consumption Behaviour of Poor Consumers: A Bibliometric and Content Analysis
The poor people segment has gained considerable scholarly attention, particularly after eight scholars established it as an untapped market. This study attempts to understand the nine consumption behaviours of a poor consumer. Therefore, we collate 384 scholarly papers indexed in the Scopus database, published during the period 19752020. Both evaluative and bibliometric relationship techniques, namely, Biblioshiny and VOSviewer, are utilized to understand the domains progress in the past 45 years. Besides this, content analysis is conducted via hand search to identify the most utilized research methods, popularly applied theories and most explored contexts. Results show that research in this field has grown exponentially, particularly after 2007, with research focusing on low-income consumers, bottom-of-pyramid consumers and mobile money users. The findings indicate this domain demonstrates skewed development, and there is a huge room for future studies. 2022 Fortune Institute of International Business. -
Consumption of antibiotics as self-medication from over-the-counter purchase: An empirical study
Objective: The primary objective of this study is to find the reasons behind the practice of self-medication (SM) by the people with over-the-counter (OTC) drugs which are usually available in all medical stores. Methods: This article presents an empirical view of SM practice with OTC drugs. The research design of the study is descriptive, and the population of the study is customers who buy OTC drugs. The target population of this research is the common public who are all having the possibility to consume OTC drugs ever. The sampling technique used for this study is a systematic random sampling, and the sample size is 144. An instrument used for collecting data is a self-administered questionnaire and personal interview with the pharmacists. The data were analyzed using descriptive statistics. Results: The study results that most of the OTC customers consider SM is not a good practice, even though they practice SM of antibiotics in certain circumstances, due to reasons such as time-saving, convenience, cost saving, avoid waiting time to consult a doctor, easy and quick availability of antibiotics in neighbourhood drug stores, etc. Conclusion: The study concludes the reasons behind the SM practice and some remedies to overcome OTC drug-related problems from SM. 2017 The Authors. Published by Innovare Academic Sciences Pvt Ltd. -
Contemplating hair: Many shades of hair oppression in India
What is it like to be a woman with wavy/curly hair in a country like India? Although hair stories are different for different women, one common hair story for all Indian women with wavy/curly hair is moments of insecurity regarding the normalcy and beauty appeal of their hair. Aside from the discrimination faced due to the texture of hair, Indian women also face restrictions and suffocations in terms of creative self-expression of hair. This chapter presents an overview of the hair culture in India from a historical perspective along with religious narratives. The nature of hair discrimination of women in India is discussed and the chapter also shed light on institutionalised illogical restrictions. The author's personal hair stories will serve as an example to underline the complexity of hair discrimination in India. 2024, IGI Global. All rights reserved. -
Contemporary ethnobotany of pastoralism in semi-arid Deccan region-Koppal district, Karnataka, India
The aim of the current study is on ethnobotanical survey carried out in Koppal district of Karnataka, India. Study focused on exploration of traditional knowledge and pastoral practices of particular communities where livestock rearing activity is potent and use of ethnomedicinal plants in daily livelihood. The landscape was diverse in nature covering semi-arid to modest tropical climate, and unique topography encourage for wide range of vegetation useful for caters to feed the livestock. Methodology used for the study by participant observation, interviews, and transect walks, the study identified 48 plant species from 20 families, with Fabaceae and Poaceae being the most prevalent. These families play a vital role in providing nutritious fodder for livestock and sustaining pastoralists livelihoods. The study resulted pastoralists ethno-veterinary knowledge, where specific plants are used to treat cattle ailments and reflecting their deep understanding of traditional herbal remedies. However, the research finding revealed that some traditional knowledge may be diminishing with the younger generation, stressing the importance of knowledge preservation and transfer. The study underscores the potential benefits of integrating traditional practices with scientific research to optimize the selection and utilization of valuable fodder and veterinary plants. It is evident remarks to add up in the scientific data by collaboration between indigenous communities and scientific institutions for sustainable resource management. 2023, Indian journals. All rights reserved. -
Contemporary Indian Way of Settling Down: Emerging Adults Perspective
Settling down in India historically entailed a culturally constructed notion for individuals, focusing on marriage. An exploration of the modern Indian idea of Settling down was explored in light of the driving forces of globalization and increased migration. The current study explored the concept of Settling down among emerging adults aged between 18 and 29 years who had migrated within the borders of India for education or employment purposes. To this end, semi-structured interviews were conducted. The reflexive thematic analysis method was employed for analysing the data. Emerging themes unveiled that despite marriage being endorsed by a few of the participants, co-habiting relationships were convenient and burden-free. Employment, financial independence, and professional stability emerged as the primary markers of Settling down among migrant emerging adults. It was also recognized that migration had a critical impact on peoples decisions about settling down.. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Content Based Deep Factorization Framework for Scientific Article Recommender System
With the advancement in technology and the tremendous number of citations available in the digital libraries, it has become difficult for the research scholars to find a relevant set of reference papers. The accelerating rate of scientific publications results in the problem of information overload because of which the scholars spend their 70% of the time finding relevant papers. A citation recommendation system resolves the issue of spending a good amount of time and other resources for collecting a set of papers by providing the user with personalised recommendations of the articles. Existing state of art models do not take high-low order feature interactions into consideration, due to which the recommendations are not up to the desired level of performance. In this paper, we propose a content-based model which combines Deep Neural Network (DNN) and Factorization Machines (FM) where no pre-trainings are required for providing the citation recommendations. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Content Based Scientific Article Recommendation System Using Deep Learning Technique
The emergence of the era of big data has increased the ease with which scientific users can access academic articles with better efficiency and accuracy from a pool of papers available. With the exponential increase in the number of research papers that are getting published every year, it has made scholars face the problem of information overload where they find it difficult to conduct comprehensive literature surveys. An article recommendation system helps in overcoming this issue by providing users with personalized recommendations based on their interests and choices. The common approaches used for recommendation are Content-Based Filtering (CBF) and Collaborative Filtering (CF). Even though there is much advancement in the field of article recommendation systems, a content-based approach using a deep learning technology is still in its inception. In this work, a C-SAR model using Gated Recurrent Unit (GRU) and association rule mining Apriori algorithm to provide a recommendation of articles based on the similarity in the content were proposed. The combination of a deep learning technique along with a classical algorithm in data mining is expected to provide better results than the state-of-art model in suggesting similar papers. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Content-Based Music Recommendation Using Non-Stationary Bayesian Reinforcement Learning
This paper presents a music recommendation system for the offline libraries of songs that employs the concepts of reinforcement learning to obtain satisfactory recommendations based on the various content-based parameters. In order to obtain insights about the effectiveness of the generated recommendations, parallel instances of single-play multi-arm bandit algorithms are maintained. In conjunction to this, the concepts of Bayesian learning are considered to model the user preferences by assuming the environment's reward generating process to be non-stationary and stochastic. The system is designed to be simple, easy to implement, and on-par with user satisfaction within the bounds of the input data capabilities. Copyright 2021, IGI Global. -
Content-Based Product Recommendation SystemsReview
Content-based recommendation systems have become essential for improving user experiences in e-commerce and various digital platforms. This review paper examines the recent advancements in content-based recommendation systems, focusing on machine learning techniques and models used to personalise user interactions. The paper also explores the role of deep learning and hybrid approaches in increasing the accuracy and relevance of recommendations. Despite significant progress, the product recommendation systems face challenges such as capturing complex user preferences, ensuring scalability, addressing the cold start problem, and improving explainability which remains crucial and requires further research. This paper offers a comprehensive overview of current methodologies, identifies existing limitations, and suggests future directions to optimise content-based recommendation systems to provide more effective and reliable recommendations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Content-Restricted Boltzmann Machines for Diet Recommendation
Nowadays, society is leading towards an unhealthy and inactive and lifestyle. Recent studies show the rapid growth of people suffering from diseases caused due to unhealthy lifestyles and diet. Considering this, recognizing the right type and amount of food to eat with a suitable exercise set is essential to obtain good health. The proposed work develops a framework to recommend the proper diet plans for thyroid patients, and medical experts validate results. The experiments results illustrate that the proposed Content-Restricted Boltzmann Machines (Content-RBM) produces more relevant recommendations with content-based information. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Context Driven Software Development
The Context-Driven Software Development (CDSD) is a novel software development approach with an ability to thrive upon challenges of 21st century digital and disruptive technologies by using its innovative practices and implementation prowess. CDSD is a coherent set of multidisciplinary innovative and best practices like context-aware and self-adaptive system modelling, human-computer interaction, quality engineering, software development-testing-and continuous deployment frameworks, open-source tools-technology-and end-to-end automation, software governance, engaging stakeholders, adaptive solutioning, design thinking, and group creativity. Implementation prowess of CDSD approach stems from its three unique characteristics, namely, its principles, Contextualize-Build-Validate-Evolve (CBVE) product development element, and iterative and lean CDSD life cycle with Profiling, Contextualizing, Modelling, Transforming, and Deploying phases with in-process and phase-end Governance and Compliances. CDSD approach helps to address issues like complexity, software ageing, risks related to internal and external ecosystem, user diversity, and process-related issues including cost, documentation, and delay. 2021, Springer Nature Switzerland AG.