Indian Retail Research Articles

The impact of e-commerce on traditional retail model in India

Unquestionably, the explosive growth of e-commerce in India has changed the nation's retail environment. E-commerce platforms provide customers with unmatched ease, a wide range of products, affordable prices, and the flexibility to evaluate possibilities while lounging in their own homes. Due of this, consumer behaviour has changed significantly, and traditional brick and mortar establishments have become less common. This abstract examines the various ways in which India's traditional retail industry has been impacted by the e-commerce revolution. It examines the difficulties traditional stores confront in competing with the online behemoths, including their restricted reach, increased operating expenses, and difficulties. It also looks at the attractive potential that e-commerce offers traditional companies, such growing their clientele, cutting costs, and simplifying processes. The abstract goes into additional detail about the tactics that conventional merchants might use to prosper in this new environment. Success requires embracing omnichannel tactics, establishing a strong online presence, offering a unique in-store experience, and utilizing technology. In the Indian retail sector, the combination of e-commerce and conventional models offers exciting prospects for innovation and customer-centric strategies. This study analyzes how the rise of e-commerce platforms has changed consumer preferences, market trends, and competitive dynamics through a combination of qualitative and quantitative research approaches. Utilizing conceptual models from the literature on technology adoption, marketing, and economics, it pinpoints the main forces and barriers affecting traditional retailers' acceptance of e-commerce and the ensuing restructuring of the retail sector. In-depth reviews of the body of previous research are included in the study, along with original data gathered through surveys, interviews, and case studies. Combining theoretical concepts with empirical data, this thesis offers a thorough understanding of the intricate interactions that exist between online and offline retail channels, highlighting opportunities for cooperation as well as synergies and conflicts.

Swiftcart: Revolutionizing Shopping Adventure using Image Processing and Cloud Computing with Internet of Things

Revolutionizing retail in India with Image Processing and IoT. Cameras in shopping carts detect items for a seamless checkout experience. Cloud integration ensures secure data management, while the Android app allows easy cart review and QR code payment. Say goodbye to long queues and hello to convenient shopping.

Determinants of investment-related FinTech services among retail investors of India: a multi-group analysis using PLS-SEM

PurposeThe purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.Design/methodology/approachThe study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.FindingsThe study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).Research limitations/implicationsThis study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.Originality/valueThis study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.

Analyzing the role of big data and its effects on the retail industry

The expansion of social media, technology, and online shopping will eventually speed up massive development of retail industry. Retailing organizations are trying to figure out how the usage of big data analysis may enable them to make the correct decisions as we see Big Data as one of the buzzwords sweeping the IT world by force. Therefore, the current study’s objective is to investigate and assess the function of big data and its consequences on the retail business with the support of employees and managers from the Indian retail sector. The main factors covered in the study include big data technologies like data sources, data analysis, data storage, data security and privacy, real-time processing, and messaging system. This study employs a quantitative technique and performs Partial Least Square Structural Equation Modeling (PLS-SEM) to analyze the effects of big data in the retail sector. The study findings revealed that data analysis, real-time processing, and messaging system significantly impact the performance of the retail industry whereas, data source, data storage, and data security and privacy do not significantly impact the performance of the retail industry. Various aspects discussed in the study revolving around big data technology are important factor and demands the maximum attention of the organization such as inventory utilization, customer involvement, and current value in the retail sector. The study recommends that in order to succeed, businesses of all sizes must make sure they are competitive. As internet businesses engage with their customers in real time, the rivalry heats up. Big Data analysis may benefit merchants in the following ways.

Investing in our planet: Examining retail investors' preference for green bond investment

AbstractThe green bond has emerged as an important financial instrument to advance environmentally friendly projects. While institutional investors have shown ample interest in green bonds, retail investors have lagged in their adoption. This study intends to examine the determinants of retail investors' attitude and intention toward green bond investment, utilizing the theory of planned behavior as the fundamental model and incorporating several context‐specific factors. Data from 506 Indian retail investors, representing the majority of Indian states and union territories (UTs), were collected through multi‐stage stratified random sampling. The PLS‐SEM method, coupled with artificial neural network (ANN) analysis and fuzzy set qualitative comparative analysis (fsQCA), was employed to test the hypothesized relationships, ensure the robustness of outcomes, and derive important practical insights. The findings suggest that intrinsic factors (perceived behavioral control and attitude) are superior predictors of investors' behavioral intentions relative to external factors (government policy support and social influence). Further, for green bonds to receive favorable evaluations from investors, they should display adequate financial cum environmental performance. Investors' attitude is significantly influenced by issuers' ratings and their willingness to pay premiums. Environmental concerns and perceived risk also influence investors' attitude toward green bonds, albeit with relatively lower strength. This study holds significance as it offers crucial implications for researchers, market participants, policymakers, and regulators involved in the development of the green bond market.

E-commerce Elegance: Examining the Role of Digital Marketing in Shaping Women's Cosmetic Preferences

Online advertisements have had a significant influence on the purchasing habits of the general public. In India, the most of the businesses are ditching the brick-and-mortar retail model in favour of online shopping. A slew of aspects in online advertising affect consumers' purchasing decisions. With the rise of new companies and online shopping sites, internet retailing in India is experiencing a surge in popularity. Women shoppers play a significant role in the growth of online shopping across an extensive array of of platforms and apps. As a result of social media platforms like Instagram, Facebook, and YouTube as well as shopping apps like Mantra, Sephora, and Amazon and Myntra, women have access to a plethora of national and international cosmetic businesses through online advertising. It was an online advertising campaign that drove women in Haryana to emerge from their shells. The most pressing issue is how to use internet advertising to attract female customers to online and social media platforms. Researchers conducted this study to learn what factors influence women's preferences for different cosmetic goods, with a focus on how online marketing affect Haryana's women and the consequent shifts in their shopping behaviours. Findings from this study reveal a clear link between online advertising and how women chose cosmetic products while shopping online. Analytical surveying was the method used in this investigation. The goal of this research is in order to assess the effects of online marketing on Haryana women's purchasing habits for cosmetics. Explanatory inferences can be drawn from the findings of this study, which investigates variable-variable relationships. Research shows that women in Haryana are open to online advertisements for cosmetics on social media platforms, smartphone applications and retail websites.

Walmart in India: Crafting competitive advantage using joint venture and acquisition

Walmart has a global reputation for building robust Information Technology driven infrastructure for modern retail. However, its Indian operations were constrained by the government’s Foreign Direct Investment policy in multi-brand retail that allowed entry only through the Business2Business route for protecting small retailers. The policy restriction limited the scope of value capture for Walmart in the growing Indian retail market. Walmart used partnerships and creative tweaking of its business model to adapt to the business environment in India. It used a joint venture with Bharti Retail, a local partner, to enter the Indian market. Walmart acted as suppliers to small retailers and also invested in a focused program to improve their efficiency. Further, the joint venture allowed Walmart to generate additional revenue sources (royalty and other fee incomes) to recover its investments in supply chain development. The tweaks in the business model to improve value appropriation were however evaluated unfavorably by the stakeholders in India prompting dissolution of the joint venture. Later, with online retail becoming prominent, Walmart acquired majority stake in Flipkart, a leading e-commerce player in India, to renew its capabilities and evolve a business model for the new era of omni-channel retail.

Importance of AI attributes in Indian retail stores: a conjoint analysis approach

PurposeThe study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and cashier-free station in retail stores. The study also examines the specific purpose of using these attributes for shopping.Design/methodology/approachA conjoint experiment was conducted using fractional factorial design. Consumers were given 14 profiles (AI attributes and its levels) to rank according to their visiting preferences.FindingsThe results revealed that the retail chatbot was considered the most important attribute, followed by face recognition, virtual fitting room, smart parking system and cashier-free station. Moreover, consumers prefer to use chatbots for in-store shopping assistance over alerts and updates, customer support and feedback. Similarly, consumers wish a face recognition facility for greetings while entering the store over other services. In addition, cluster analyses revealed that customer groups significantly differ in their preferences for AI-based attributes.Practical implicationsThe study guides retail managers to invest in AI technologies to provide consumers with a technology-oriented shopping experience.Originality/valueOur results provide an insight into the receptivity of AI technologies that consumers would like to experience in their favorite retail stores. The present study contributes to the literature by investigating consumer preferences for various AI technologies and their specific uses for shopping.

Resistance to O2O technology platform adoption among small retailers: The influence of visibility and discoverability

Research on Online-to-offline (O2O) platforms is witnessing significant growth. However, the actual utilization of O2O platforms by small retailers is still in its early stages. The purpose of this study is to investigate the factors that lead to small merchants' reluctance to O2O platforms as well as the impact of the platform's visibility and discoverability on the retailer's usage intention. To achieve this, the study utilized innovation resistance theory (IRT) with three novel constructs: perceived vulnerability to privacy, information smog and inertia to formulate the conceptual model. To evaluate the conceptual model, the study used data from 409 small retailers using a single cross-sectional approach. The data were analyzed using structural equation modelling, and the results of the study revealed that the most significant factor leading to resistance towards O2O platforms' attractiveness and usage intention was the usage barrier, followed by the Image barrier, perceived vulnerability to privacy, and Inertia. However, the study did not find statistically significant evidence for the value barrier and information smog. Further findings showed that visibility and discoverability moderate the relationship between O2O platform attractiveness and usage intentions. Overall, the study enriches the academic literature on O2O platforms, especially regarding resistances, visibility, and discoverability, addressing a significant gap in the context of small retailers in India.

Impact of Online Discount on Indian Shoppers During Festive Seasons: An Analytical Study

With the increasing preference of Indians to shop online instead of visiting physical stores, the retail sector in the country is undergoing significant transformation. Several factors are fueling the rapid rise in popularity of online shopping in India. These include the increasing internet penetration, a growing number of internet-savvy consumers, a larger labour force, a wide range of online stores offering goods from around the globe, and improved web accessibility. The concept of "e-tailing" refers to the business model where products are bought and sold through an online platform. India's retail sector is currently undergoing a significant transformation due to the transition from traditional stores to online marketplaces. During the festival season, online retailers are currently offering a variety of deals to attract more customers. In recent years, the popularity of online shopping has soared, allowing consumers to easily purchase a wide range of products, from everyday essentials to cutting-edge technology. Online shopping and digital shops are becoming increasingly popular in rural areas, reaching beyond the confines of city life. Several factors contribute to this phenomenon, such as increasing incomes, a stronger economy, a wide range of choices for consumers, and the active involvement of lenders in promoting digitalization and online shopping. The festival shopping sector is a significant driver behind the growth of e-commerce platforms. During holiday seasons, companies frequently offer promotions and significant discounts on both new and used products. In addition, they offer additional incentives such as cash-back deals and buy-one-get-one sales. At this time, companies would organise sales events with distinctive names such as "Big Billion Days" on Flipkart, "Flash Sales" on Myntra, and "Great Festive Sale" on Amazon. The aim of this study is to examine the impact of virtual shopping festivals on local communities and individual shoppers.

What do we know about cryptocurrency investment? An empirical study of its adoption among Indian retail investors

PurposeThis study aims to examine the cryptocurrency adoption (CA) level among Indian retail investors who use cryptocurrency as an investment and mode of transaction.Design/methodology/approachThrough self-administered survey questionnaires, data is collected from 397 retail investors of Haryana (India). This study adopted a quantitative method using partial least squares structural equation modeling (PLS-SEM).FindingsThis paper offered a robust model with a high explanatory value for CA in which four of the five proposed factors of diffusion of innovation theory (trialability, compatibility, complexity and observability) and one of the two proposed factors of consumer behavioral theory (perceived value) significantly influences CA. More specifically, the absence of regulatory support is a barrier to the broad adoption of cryptocurrencies, as its regulations are necessary to mitigate or minimize uncertain outcomes.Research limitations/implicationsThis research primarily focuses on CA in India. Thus, it can be extended to cover diverse other countries for more precise results.Practical implicationsThe results provide insights to the government to design the policies, better regulate and make investment strategies that can ultimately enhance CA. In addition, the study’s results also inform financial educators, policymakers, employers and academicians about the significance of several variables affecting CA in India.Social implicationsFrom a social standpoint, this study is an advance that directs central banks and governments to develop, regulate and manage digital currencies and implement a digital currency ecosystem. Moreover, the results assist in understanding investors’ perceptions and decision-making perspectives toward cryptocurrencies through the country’s digitalization.Originality/valueThis paper fills the study gap to assist policymakers and cryptocurrency experts in broadening their knowledge base and recognizing prioritized intentions. Additionally, this study provides a theoretical model with the latent variable for a present and pertinent matter.

Unravelling the Impact of Financial Literacy on the Intention of Indian Retail Investors to Adopt Socially Responsible Investments: The Interplay of Social Self-Efficacy as a Mediating Mechanism

In the context of the escalating socio-economic disparities and environmental concerns, this study delves into the intricate interplay among financial literacy (FL), social self-efficacy (SSE) and intentions for socially responsible investment (SRI). Grounded firmly in the theory of planned behaviour, a survey of 235 Indian participants was conducted employing a meticulously structured questionnaire and leveraging Partial Least Squares Structural Equation Modelling software for robust data analysis. The research addresses pivotal questions, examining the impact of FL on fostering positive SRI attitudes, appraising the influence of subjective norms (SNs) on the intentions of Indian investors regarding SRI, and exploring the mediating role of SSE between FL and SRI intentions. The findings underscore the substantive role of FL in shaping positive attitudes towards SRI, exerting a direct influence on SRI propensities. Concurrently, SNs exert a comparable impact on SRI intentions. Notably, the study unravels a dual mediation paradigm, elucidating the sequential mediation of SRI attitude and SSE. The study yields pragmatic implications for fund managers and policymakers. It accentuates the strategic imperative of effective communication of investment benefits, necessitating tailored approaches attuned to cognitive and psychosocial orientations. In essence, the study augments our understanding of the nuanced dynamics guiding sustainable investment decisions, thereby advancing the comprehension of investor behaviour in the domain of responsible investing.

E-Commerce Expansion in Indian Retail: A Strategic Analysis of Market Penetration and Competitive Dynamics

This research paper provides a comprehensive analysis of the evolution and dynamics of e-commerce in the Indian retail sector. The exploration spans the transformative phases of the Indian retail landscape, from the emergence of online marketplaces to the impact of mobile technology and the challenges and opportunities posed by regulatory frameworks. Strategic insights are drawn from case studies, expert interviews, and a qualitative and quantitative exploration of market dynamics. The dominance of key players, competitive interactions, regulatory complexities, and changing consumer behavior are scrutinized. The study concludes with strategic implications for e-commerce platforms, emphasizing the importance of adapting to evolving consumer preferences, leveraging technology, and navigating dynamic regulatory environments.

Flipkart’s Sales Promotion Tools: A Model Development Study

Online retailers in India have tested various possible means to lure customers with promotional offerings such as discounts, cashback, loyalty programs, contests, electronic word of mouth, customer recommendations, reviews, flash sales, etc. Online customers face the challenge of analyzing, responding, and making their buying decisions accordingly. This empirical study aimed to ascertain the influence of various online sales promotional tools adopted by Flipkart on customers. A quantitative research approach was adopted and deployed for this particular research study. Data was elicited using a Likert Scale and administered on online buyers, and a model was developed and tested for the e-commerce player ‘Flipkart’ using the PLS-SEM technique. It explains the influence of two constructs, namely psychology, and consciousness, upon respondents’ Shopping Experience, and was found that constructs explained customers’ shopping experiences in the case of Flipkart.

OPPORTUNITIES AND CHALLENGES FOR INDIAN RETAIL STORES AND THEIR MARKETING STRATEGIES

Purpose: Recognize consumer needs, seek out new business opportunities, create the best marketing plan, cut costs, and keep an eye on the competition. Because of retailers, consumers have access to a vast array of goods and services from around the globe, and the retail sector boosts employment and the country’s economy. As the studys title suggests, the goal is to look into the Opportunities and Challenges for Indian retail stores and their Marketing strategy. Design/Methodology/Approach: The secondary data for this paper was gathered from a range of sources about the opportunities and challenges of retail stores and their marketing strategies, including research papers, journal articles, and literature reviews. These sources were found by searching for relevant keywords in the Google Scholar search engine, finding relevant websites, and gathering additional information from reports on the opportunities and challenges of retail stores in India. Findings: Price wars among competitors can erode profit margins and negatively impact the industry. Retail stores need to find ways to differentiate themselves beyond just price, such as by offering superior customer service or unique product selections. Retailers can analyse sales data to identify trends, such as which products are selling well and at what times of the year. Understanding the age, gender, and preferences of customers can help tailor marketing and product offerings. Finding out if there is excess stock, understocking, or slow-moving items is crucial for efficient inventory management. Collecting and analysing customer feedback can reveal areas for improvement in customer service or product quality. Originality/Value: A research-based case study on analysis of the opportunities and challenges for Indian retail store and their marketing strategy. Paper Type: Research Case Study KEYWORDS: Opportunities and challenges, Retail store, Profit Margins, Marketing Strategy, Preferences, SWOT Analysis.

A RESEARCH STUDY ON IMPACT OF FASTGROWING HYPERMARKETS ON THE SMALL SCALE BUSINESS

The rapid growth of modern organized retail in India contrasts starkly with the persistently dominant unorganized retail sector, which constitutes around 80% of the countrys retail trade. This study investigates the effects of this dynamic on small retailers, shedding light on the changes, challenges, and strategies faced by such businesses. Focusing on Mangalore, a rapidly developing city in Karnataka, the research examines how organized retail, specifically supermarkets, impacts local unorganized small businesses. Employing a Random Sampling Method, various retail formats are studied, employing a SWOT analysis framework via a structured questionnaire. The studys findings underscore that supermarkets in the targeted region indeed exert detrimental effects on various types of unorganized retail businesses, resulting in job losses. Furthermore, the study uncovers the driving factors behind supermarket expansion from the vantage point of small businesses. Methodology: Through Random Sampling, diverse retail formats are included. A structured questionnaire underpins the SWOT analysis framework, providing a comprehensive understanding of both sectors strategies and business plans. The goal is to facilitate the survival of small businesses by offering valuable insights and techniques, bolstered by rigorous statistical analytics and research. Findings: The research establishes that supermarkets growth in the selected Indian suburban region negatively impacts unorganized retail businesses across the spectrum. Additionally, the expansion of supermarkets directly contributes to job losses in small retail enterprises. Small businesses perspectives shed light on the principal driver propelling the supermarket boom. The study unveils the strategies and plans employed by supermarkets, which in turn informs suggestions to enhance strategies for small businesses. It also offers a systematic approach to customer engagement, emphasizing product quality. Originality: This research tackles contemporary market challenges faced by small businesses with a robust foundation of data and empirical evidence. By employing statistical analytics and a comprehensive research approach, the study provides unique insights into the coexistence of organized and unorganized retail sectors, contributing to the ongoing discourse on retail market dynamics.

Scale development of digital customer engagement effectiveness: a game-changer for online retailers in India

Scale development of digital customer engagement effectiveness: a game-changer for online retailers in India

Scale development of digital customer engagement effectiveness: a game-changer for online retailers in India

Scale development of digital customer engagement effectiveness: a game-changer for online retailers in India

Prediction of customer acceptance of artificial intelligence technology in Indian retail banks: a sentiment analysis approach

Prediction of customer acceptance of artificial intelligence technology in Indian retail banks: a sentiment analysis approach

Conceptualising and Measuring the Trading Behaviour of Indian Retail Investors in the Derivative Market - an SEM-based Analysis

Conceptualising and Measuring the Trading Behaviour of Indian Retail Investors in the Derivative Market - an SEM-based Analysis