International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.2025.622 © Fanny & Felicitas 15 Demographic Study of the Consumer Preference Towards Traditional Shopping after the Pandemic M. Fanny 1 & A. I. Auxilia Felicitas2 1 Research Scholar, Madurai Kamaraj University, Madurai 2 PG & Research Department of Commerce, Fatima College, Madurai Email:
[email protected], 2felcyr[email protected] Citation: M. Fanny & Felicitas, A.I. A. (2025). Demographic Study of the Consumer Preference Towards Traditional Shopping after the Pandemic. International Journal of Research in Entrepreneurship & Business Studies, 6(2), 1524. https://doi.org/10.47259/ijrebs.2025.622 Received on 24th Jan. 2025 Revised on 13th Feb. 2025 Accepted on 9th Feb. 2025 Published on 11th Apr. 2025 Copyright: © 2025 by the authors. Licensee: Global Scientific Publications, Oman. Publishers Note: This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This is an openaccess journal and the articles published in this journal are distributed under the terms of CC-BY-SA. Abstract Purpose: The research aims to identify the key factors influencing consumer preferences for traditional shopping, with a particular emphasis on the post-pandemic shift in shopping behaviours, and to find ways to attract consumers to traditional shopping after the pandemic. Design/methodology/approach: 250 samples were collected using a simple random sampling method. The data consists of the period from 2020 to 2024. The factors influencing consumers were analysed using Garrett’s Ranking Method. The factors determining the behaviour and perception of the consumers were analysed using factor analysis using SPSS was used to test chi-quare analysis, factor analysis and multiple response analysis. Findings: From the results, it was concluded that age and marital status have a significant impact on traditional shopping. Among the factors that lead consumers to shop traditionally, trustworthiness was ranked first, followed by time-saving, comfort, discounts and offers, price, and habit. The result of the factor analysis showed that among the psychological factors, emphasis was given to the importance of consumers' ability to evaluate quality in person, Among the external factors, emphasis was given to the economic conditions; in marketing strategy, emphasis was given to advertising and promotions; in social factors, for cultural influences and age and lifestyle in personal factors. Research Implications: There is a significant relationship between age and traditional shopping. There is a significant relationship between marital status and traditional shopping. Trustworthiness is the first factor that influences consumers to shop traditionally. Among the psychological factors influencing behaviour and perception, the perception of product quality stands out, emphasizing the importance of consumers' ability to evaluate quality in person. Social Implications: The pandemic triggered a profound shift in traditional shopping, reshaping consumer habits while deeply impacting, social and cultural dynamics of several communities. These changes underscore the necessity for retailers, urban planners, and policymakers to adopt innovative strategies that align with the evolving demands and expectations of modern consumers. This study paves the way for the sellers who sell in-store. Originality / Value: Online shopping has expanded rapidly during and after the pandemic in response to rising demand. No study was made on consumer preference towards traditional shopping after the pandemic. This study is expected to fill the gap in the literature in terms of period. This study is a unique study on a topic that has not been dealt with in the past. Keywords: Consumer Preference, Traditional Shopping, Perceived Product Quality, Cultural Influences. Introduction The COVID-19 pandemic brought about a dramatic transformation in consumer shopping habits, which significantly reshaped consumer shopping patterns, with a notable shift toward online platforms driven by concerns for safety, convenience, accessibility, and heightened health concerns. Traditional shopping, a practice deeply rooted in history, has
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.622 16 Consumer Preferences after the Pandemic experienced a dramatic shift in recent years, largely due to the COVID-19 pandemic. During the pandemic, digital platforms became the preferred choice for many, offering both safety and convenience. As digital shopping became the norm during lockdowns, many consumers grew accustomed to the ease of purchasing products online. The rise of online shopping has significantly overshadowed in-person retail, with e-commerce seeing a marked increase in popularity. However, with the gradual easing of restrictions and the return to normalcy, several consumers have shown a renewed interest in traditional in-store shopping, suggesting a shift toward physical retail experiences. This resurgence indicates that many consumers are gravitating back to physical stores, seeking experiences that online platforms cannot fully replicate, and raises critical questions about the underlying factors influencing consumer choices in the post-pandemic era. Understanding the key factors influencing this renewed preference, such as the ability to engage with products through sensory interaction, the social aspect of in-store shopping, instant product availability, and the sense of trust associated with physical transactions, is essential for retailers looking to align their strategies with changing consumer expectations. While many consumers have fully embraced the convenience and safety of shopping online, a substantial group still prefers the familiarity of traditional, in-store shopping. Some never transitioned to digital shopping during the pandemic, sticking with what they know best. However, with a growing number of online shoppers, many prefer traditional shopping due to convenience and safety. In response, retailers have adapted by expanding their offerings to customers to provide a secure and convenient shopping experience that brings the products directly to their doorstep. This study delves into these dynamics, offering insights into the evolving landscape of post-pandemic consumer behaviour. Statement of the Problem The core issue revolves around understanding why consumers are gravitating back to physical stores despite the ongoing convenience offered by e-commerce. Factors such as the need for sensory engagement, the desire for social interaction, trust in physical transactions, and the satisfaction of instant product availability are likely to contribute to this behaviour. It was not clear how these preferences varied across different demographic profiles, product categories, and geographic locations. In particular, there has been no research on consumer preference towards traditional shopping in the Alanganallur block of the Madurai district. Research Questions This study was made to derive answers to the following questions related to traditional shopping after the pandemic. 1. What are the factors influencing traditional shopping after the pandemic? 2. How can consumers be attracted to conventional shopping after the pandemic? Research Objectives 1. To analyse the factors influencing consumers towards traditional shopping after the pandemic. 2. To find ways in which consumers can be attracted to traditional shopping after the pandemic. Traditional Shopping after the Pandemic The term ‘consumer’ refers to an individual or group that buys or uses goods and services for personal consumption, rather than for resale or commercial purposes. Preference refers to the inclination or favouring of one option over others. It reflects an individual’s or group’s tendency to choose certain products, services, behaviours, or ideas based on their tastes, experiences, needs, or values. Consumer preference refers to the inclination of individuals or groups to favour specific products, services, or brands over others when making purchasing decisions. It reflects the choices consumers make based on factors, personal tastes, past experiences, perceived value, and the particular needs or desires they wish to fulfil. Shopping is purchasing goods or services, either in physical stores or through online platforms, to meet personal needs or desires. It involves browsing, selecting, and buying items. Traditional shopping is buying goods and services directly from physical stores rather than through online platforms. This approach requires customers to visit stores in person, explore the available products, engage with staff for assistance, and complete their purchases on-site. A pandemic refers to a widespread outbreak of a disease that affects a large number of people across multiple countries or continents. Unlike localised outbreaks (epidemics), a pandemic involves extensive transmission of a contagious disease, resulting in significant public health, social, and economic consequences.
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.2025.622 © Fanny & Felicitas 17 This study focuses on the Alanganallur block of Madurai District in Tamil Nadu, India, and examines consumers’ preference towards traditional shopping following the pandemic. The research aims to identify the key factors influencing consumer preferences for shopping traditionally in this context, emphasising the postpandemic shift in shopping behaviours in the Alanganallur block. Review of Literature A customer behaviour analysis is a detailed observation of how customers interact with a company at various stages of the customer journey (Gordon, 2025). The customer journey is often dynamic and non-linear, characterised by a continuous loop that encompasses cognitive, emotional, and behavioural responses (Grewal & Roggeveen, 2020). From the preference reversals, it was found that Men exhibit a higher tendency toward standard preference reversals when compared to women. Both standard and nonstandard reversals are most frequently observed among individuals from families with average income levels, indicating a concave relationship between preference reversals and family income. However, students perceive themselves as riskloving and demonstrate risk-averse behaviour in practice (Pervan et al., 2015). The modern mode of commerce offers numerous advantages for buyers and sellers, making it a mutually beneficial platform (Jabbar, 2019). Yang et al. (2020) claimed that increased engagement with COVID-19 circumstances motivated individuals to prioritise purchasing utilitarian products online. The Internet empowers consumers to compare products and prices across different online stores, making informed purchasing decisions easier than ever (Shivranjani, 2022). Mortimer et al. (2024) suggested that in the postCOVID era, customers have a greater emphasis on utilitarian benefits and transaction value, enhancing their overall functional shopping experience. Job losses lead to reduced consumer spending, triggering a ripple effect that harms other businesses and results in further job cuts. In such economic downturns, value-focused and discount retailers thrived, whereas luxury and high-end brands are more likely to experience setbacks (Roggeveen & Sethuraman, 2020). Digital transformation has not only changed distribution channels but also influenced consumer preferences, expectations, and habits (Zwanka & Buff, 2021). Online shoppers are often highly price-conscious, but they also prioritise convenience, a wide range of product choices, and speedy delivery, and their purchasing decisions are strongly influenced by reviews and feedback from other customers (D’Cunha, 2023). Fares et al. (2023) analysed the operational factors, revealed that internal factors hold greater significance when compared to external ones. Most of the customers have prioritised online shopping (Poornima & Kanimozhi, 2023). Customers with social experience shop online for goods and services (Nizma & Siregar, 2020). Females prefer online shopping more than males (Kavitha & Inbalakshmi, 2018). When dealing with traditional channel preferences, discounts, and in-store deals, fully mediate the influence of hedonic and user experience. Indian youth tend to favour online channels for purchasing utilitarian products and repeat purchases, while offline channels remain their top choice for availing of in-store discounts (Shah et al., 2022). Individuals who embraced a positive mindset during the COVID-19 pandemic developed a stronger sense of pro-sustainability and environmental awareness, leading to more eco-conscious consumption habits and a notable shift toward online shopping (Gupta & Mukherjee, 2022). Further, online shoppers have opined that they can avoid a forceful suggestion by a salesman in the case of online shopping (Maheswari, 2018). Product consideration seems to be the new entry point in the digital customer journey (Mikmak, 2025). Online shoppers get the products and feedback online from their doorsteps (Gupta et al., 2013). Consumers lack trust in online stores (He & Bach, 2014). The consumers felt it was risky to purchase online, as they were uncertain of the hygienic conditions in which the products were packed and delivered (Gao et al., 2020). Existing habits are discarded, and new consumption methods are invented after the pandemic (Sheth, 2020). Indeed, retailers who engage their customers by delivering personalised information and offering genuine value distinguish themselves from the competition, fostering stronger and more lasting customer relationships (Grewal et al., 2016). Retailers must emphasise that safeguarding consumers’ health and safety takes precedence over profit while ensuring timely access to essential products and achieving this may require collecting more personal and sensitive customer information, but consumers may be more willing than ever to share such data in exchange for these assurances (Pantano et al., 2020). The COVID-19 pandemic triggered unemployment, economic instability, and recession, which in turn prompted countries to reconsider their reliance on imports, encouraging a shift toward domestic production of goods and services (Verma & Naveen, 2021). Intention to self-isolate was a strong predictor of unusual purchases, suggesting that the major reason why people made unusual purchases during COVID-19 was to prepare for isolation and quarantine. In hindsight, the panic buying phenomenon was brief, and consumer markets quickly stabilised to unusual purchasing and
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.622 18 Consumer Preferences after the Pandemic then further to the new COVID-19 consumer status quo (Laato et al., 2020). The impact of COVID-19 on consumer behaviour and consumption culture has not been extensively explored. There remains uncertainty about how many customers will return once the pandemic subsides. As consumers navigate through the pandemic, some behavioural changes may endure long after the crisis has passed (Kim, 2020). Consumers’ perceived risk of contracting COVID-19 significantly influences their willingness to pay for food reserves. The findings indicate that individuals who feel less in control of the situation are more inclined to spend more on fresh food supplies (Wang et al., 2020). Research Methodology A quantitative research approach was employed to investigate the factors influencing consumers to prefer traditional shopping. The population of the Alanganallur block of Madurai District in Tamil Nadu, India, in the year 2021 was 16,000. The sampling technique used is simple random sampling. The sample was calculated at a 95% level of confidence and an 80% population proportion. Hence, the sample size was 250. Hypotheses were framed and analysed in this study; the dependent variable was a preference for traditional shopping, and the independent variables were age and marital status. The questionnaire was framed with demographic details in the first section; the second section contained the factors that influence the respondents to shop traditionally; the third section contained ways to attract the consumers to shop through the traditional mode, and the fourth section sought suggestions for traditional sellers to enhance sales. The data set of the variables consists of the period from 2020 to 2024. The factors influencing consumers to shop traditionally were analysed with the help of Garrett’s Ranking Method. The factors that influenced the behaviour and perception of the consumers were analysed using the factor analysis method. Suggestions were collected from the respondents on how traditional sellers can attract buyers to get back the same sales volume as before the pandemic, and multiple response analysis was used to analyze. Findings Demographic details are shown in Table 1. Table 1. Demographic Characteristics of the Respondents Characteristics Frequency % AGE 21 – 40 Years 123 49.2 41 – 60 Years 76 30.4 Above 60 Years 51 20.4 MARITAL STATUS Married 136 54.4 Unmarried 97 38.8 Widowed 12 4.8 Divorcee 5 2.0 OCCUPATION Employed 117 46.8 Business 53 21.2 Homemaker 33 13.2 Student 47 18.8 MONTHLY INCOME Up to Rs. 50,000 53 21.2 Rs. 50,001 - Rs. 1,00,000 127 50.8 Rs. 1,00,001 - Rs. 1,50,000 32 12.8 Rs. 1,50,001 - Rs. 2,00,000 25 10.0 Above Rs. 2,00,000 13 5.2 EDUCATIONAL QUALIFICATION HSC 53 21.2 UG 103 41.2 PG 42 16.8
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.2025.622 © Fanny & Felicitas 19 Others 52 20.8 GENDER Male 112 44.8 Female 138 55.2 The ranking question was framed using the factors that influenced consumers to shop traditionally and were analysed using Garrett’s Ranking Method, as shown in Table 2. Table 2. Factors Influencing Traditional Shopping Factors No. of Respondents Total Score Rank 1 Rank 2 Rank 3 Rank 4 Rank 5 Rank 6 Comfortable 41 42 109 21 20 17 250 Trustworthiness 108 49 41 19 17 16 250 Habit 16 16 14 34 27 143 250 Price 18 18 16 48 107 43 250 Discounts & offers 19 18 29 109 51 24 250 Time-Saving 48 107 41 19 28 7 250 Total 250 250 250 250 250 250 1500 Table 2 indicates the factors that influence consumers to shop traditionally. Garrett’s Ranking Method was used, and trustworthiness was ranked first with a score of 15,488, followed by time-saving (14,745) with the second rank, comfort (13,786) with the third rank, discount & offers (11,616) secured the fourth rank, price (10,540) with the fifth rank, and habit (8,848) was ranked last. Hypotheses The relationship between the independent variable, the preference for traditional shopping, and the dependent variables, age and marital status, was analysed using a chi-square test, which is shown in Tables 3 and 4. H01 = There was no significant relationship between age and preference for traditional shopping. Table 3. Crosstabulation between Age and (after Pandemic) Preference Prefer Age Prefer Traditional Shopping Prefer Online Shopping Total 21 – 40 years 95 28 123 41 – 60 years 30 46 76 Above 60 years 15 36 51 Total 140 110 250 χ2 value df Critical Value p-value Inference 61.368 2 5.991 < 0.0001 Significant From Table 3, it was seen that the χ2 value (61.368) was greater than the critical value (5.991). Hence, the hypothesis was rejected. It was concluded that there was a significant relationship between age and preference for shopping traditionally. H02 = There was no significant relationship between marital status and preference for traditional shopping.
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.622 20 Consumer Preferences after the Pandemic Table 4. Crosstabulation between Marital Status and (after pandemic) Preference Prefer Marital Status Prefer Traditional Shopping Prefer Online Shopping Total Married 110 26 136 Unmarried 25 72 97 Widowed 3 9 12 Divorcee 2 3 5 Total 140 110 250 χ2 value df Critical Value p-value Inference 50.985 3 7.815 < 0.0001 Significant From Table 4, it was seen that the χ2 (50.985) value was greater than the critical value (7.815). Hence, the hypothesis was rejected. It was concluded that there was a significant relationship between marital status and the preference to shop traditionally. The factors that influenced the behaviour and perception of consumers were analysed using factor analysis, which were given in Tables 5 and 6. Table 5. Factor Loadings Statements Factors 1 2 3 4 5 Perception of Product Quality .850 Emotional Connection .846 Brand Loyalty .843 Impulse Buying .837 Attitude & Beliefs .826 Experience .780 Economic Conditions .804 Trends and Seasons .788 Advertising and Promotions .760 Cultural Influences .875 Peer Influence .865 Social Interaction .501 Age and Lifestyle .753 Income Level .693 Personality and Preferences .684 Table 6. Factor Analytical Structure # Factors Statements Factor loadings 1 Psychological Factors Perceived Product Quality .850 2 Emotional Connection .846 3 Brand Loyalty .843 4 Impulse Buying .837
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.2025.622 © Fanny & Felicitas 21 5 Attitude & Beliefs .826 6 Experience .780 7 External Factors Economic Conditions .804 8 Trends and Seasons .788 9 Marketing and Retail Strategies Advertising and Promotions .760 10 Social Factors Cultural Influences .875 11 Peer Influence .865 12 Social Interaction .501 13 Personal Factors Age and Lifestyle .753 14 Income Level .693 15 Personality and Preferences .684 The factor analytical structure of traditional shopping highlights key elements that influence consumer behaviour, grouped into various categories based on their significance, as shown in Tables 5 & 6. Among the psychological factors, the perceived product quality stands out with a factor loading of 0.850, emphasising the importance of consumers’ ability to evaluate quality in person. This is closely followed by emotional connection (0.846) and brand loyalty (0.843), which underscore the role of sentiment and trust in shaping shopping preferences. Impulse buying (0.837) and attitudes and beliefs (0.826) also significantly impact decisions, while past experiences (0.780) inform repeat purchases. External factors, such as economic conditions (0.804) and trends and seasons (0.788), illustrate the influence of broader environmental and temporal contexts on consumer choices. Marketing strategies, including advertising and promotions (0.760), show how targeted efforts can sway purchasing behaviour. Social factors carry notable weight, with cultural influences (0.875) and peer influence (0.865) dominating, though social interaction (0.501) has a relatively lower impact. Personal factors, like age and lifestyle (0.753), income level (0.693), and personality and preferences (0.684), reflect individual differences that affect shopping habits. These insights collectively emphasise that traditional shopping behaviour is shaped by a complex interplay of psychological, external, marketing, social, and personal factors, each contributing uniquely to consumer perceptions and decisions. Table 7 shows the suggestions to help the traditional sellers to increase their sales, which were analysed using multiple response analysis. Table 7. Suggestions to traditional sellers to increase their sales Suggestions No. of Responses % Option to see, touch, and test products 241 14.43 Appealing store ambience 103 6.17 Loyalty programmes, multiple purchase offers, and personalised offers 206 12.34 Highly demanded goods at the entry point 73 4.37 Aligned with current fashion, technology, and seasonal demands, as well as demographic-specific products 231 13.83 Provide detailed information about products, and conduct workshops 217 13.00 Tailor customer-specific products 215 12.87 Premium and budget-friendly products 224 13.41 Customer feedback 147 8.80 Mobile apps for easy purchase 13 0.78 Total 1670 100
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.622 22 Consumer Preferences after the Pandemic The analysis showed that the most significant interest lies in tactile engagement with products, where customers value the ability to see, touch, and test items firsthand, with 14.43 %. This is closely followed by aligned with current fashion, technology, seasonal demands, and demographic-specific products, with 13.83%. Additionally, consumers highly favour a balance between premium and budget-friendly products, with 13.41 %. Shoppers seek informative and engaging experiences through detailed product insights and interactive formats like workshops, with 13 %. Personalised attention is also crucial, as reflected in the strong interest in tailored product recommendations with 12.87 %, loyalty programmes, and individual-specific promotions with 12.34 %. A well-designed store ambience with 6.17 % adds to the overall appeal, and mechanisms like a customer feedback loop with 8.80 %and easy purchase through mobile apps with 0.78 %, though less prioritised, still contribute to a comprehensive and satisfying retail journey. Summary of findings • Trustworthiness is a factor that influenced consumers to shop traditionally. • There is a significant relationship between age and the preference to shop traditionally. • There is a significant relationship between marital status and the preference to shop traditionally. • Factor analysis was used to analyse the behaviour and perception of the respondents. The factors were grouped as psychological factors, external factors, marketing and retail strategies, social factors, and personal factors. • Multiple response analysis was used to analyse the suggestions to help traditional sellers increase their sales, the majority of the respondents chose the option ‘to see, touch and test products’. Conclusion In conclusion, enhancing the traditional shopping experience requires a holistic approach that includes the diverse factors influencing consumer behaviour. Face-to-face communication with the seller, prompt product inspection, quick transactions, and quick returns make trustworthiness the top priority. Retailers must create a dynamic and engaging shopping environment by addressing psychological elements such as quality perception and emotional connection, leveraging external conditions like trends and economic shifts, and tailoring marketing strategies to individual preferences. Furthermore, integrating social and personal factors ensures the experience resonates with diverse customer groups, fostering loyalty and repeat visits. The above measures will help traditional shopping maintain its relevance and appeal, offering a unique and immersive experience that online alternatives cannot replicate. The respondents were asked to select a few suggestions that would revamp traditional shopping to the older form, and the option of customers being allowed to see, touch, and test the products was chosen mostly by the respondents, as they felt this facility is not available in all the stores. The respondents want the traditional sellers to align with current fashion, technology, and seasonal demands, as well as demographic-specific products, which were chosen next, followed by suggestions, premium and budget-friendly products, providing detailed information about products, conducting workshops, tailoring customer-specific products, loyalty programmes, multiple purchase offers and personalised offers, customer feedback, appealing store ambience and mobile apps for easy purchase. The respondents are sure the suggestions will help the traditional sellers to increase their sales after the pandemic. Recommendations • Opportunities should be provided to the customers to see, touch, and test products in-store through product demonstrations, sample stations, and clear labelling. • A welcoming and appealing store ambience with appropriate lighting, music, and themed decor that resonates emotionally with customers must be created. • Loyalty programmes and personalised offers must be introduced to encourage repeat visits and maintain customer trust. • Strategically place high-demand or visually appealing items near checkout counters and entry points. • Value-for-money deals, discounts, and promotions during economic uncertainty must be offered to retain price-sensitive customers. • Update inventory regularly to align with current fashion, technology, or seasonal demands, and organise themed sales events. • In-store displays, interactive ads, and limited-time offers must be used to attract attention and drive purchases. Brand partnerships must be made to create exclusive promotions. • Provide detailed product information through knowledgeable staff or informational materials to aid decision-making. • Product selections to be tailored to align with local traditions, festivals, and community preferences. • Group shopping by offering deals for multiple purchases or creating social spaces in-store must be encouraged.
International Journal of Research in Entrepreneurship & Business Studies eISSN-2708-8006, Vol. 6, issue. 2, 2025, pp. 15-24 https://doi.org/10.47259/ijrebs.2025.622 © Fanny & Felicitas 23 • In-store events, workshops, or community gatherings must be organised to increase engagement and foot traffic. • Separate sections or product ranges must be designed to appeal to different age demographics, such as trendy items for younger shoppers and practical goods for older customers. • A mix of premium and budget-friendly products must be offered to cater to a wider audience. • Customer feedback and data must be used to stock items that align with local tastes and preferences. • Past customer complaints must be resolved, and measures to ensure consistency in quality and service can be implemented. • While focusing on traditional shopping, use digital tools such as in-store kiosks or mobile apps to enhance the convenience and appeal of the physical shopping experience. References 1. D’Cunha, A. (2023). A Study on Consumer Behaviour towards Online Shopping. International Journal of Humanities, Law and Social Sciences, X-(I-K), 75-97. https://nmfdegree.edu.in/upload/notices_pdf/A%20Study%20on%20Consumer%20Behaviour%20towar ds%20Online%20Shopping.pdf 2. Fares, N., Lloret, J., Kumar, V. & Frederico, G.F. (2023). Factors Affecting Omnichannel Buying Online and Return in Store: Evidence from Fast-Fashion Retail. Journal of Enterprise Information Management, 36(4), 952-978. https://www.openaccess.bcu.ac.uk/14206/1/Omnichannel.2023_Accepted%20Version.pdf 3. Gao, X., Shi, X., Guo, H., & Liu, Y. (2020). To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China. (S. U. Baogui Xin, Ed.) Tenth International Congress on Peer Review and Scientific Publication. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0237900 4. Gordon, W. (2025). Understanding Customer Behaviour and Preferences. Nutshell.com, https://www.nutshell.com/blog/understanding-customer-behavior-and-preferences 5. Grewal, D. & Roggeveen, A.L. (2020). Understanding Retail Experiences and Customer Journey Management. Journal of Retailing, 96(1), 3-8. https://doi.org/10.1016/j.jretai.2020.02.002 6. Grewal, D., Roggeveen, A.L. & Nordfält, J. (2016). The Future of Retailing. Journal of Retailing, 93(1), 1-6. https://doi.org/10.1016/j.jretai.2016.12.008 7. Gupta, A. S. & Mukherjee, J. (2022). Long-term changes in consumers' shopping behaviour postpandemic: an exploratory study. International Journal of Retail & Distribution Management, 50(1), 15181534. https://doi.org/10.1108/IJRDM-04-2022-0111 8. Gupta, A., Bansal, R. & Bansal, A. (2013). Online Shopping: A Shining Future. International Journal of Techno-Management Research, 1(1), 1-10. https://www.researchgate.net/publication/318224640_Online_Shopping_A_Shining_Future 9. He, B., & Bach, C. (2014, June). Influence Factors of Online Shopping. International Journal of Innovation and Scientific Research, 2(2), 313-320. https://ijisr.issrjournals.org/abstract.php?article=IJISR-14-120-16#google_vignette 10. Jabbar, A. (2019). A Study on Preferences and Problems of Consumers Towards Online Shopping. International Journal of Research and Analytical Reviews, 6(1), 202-209. https://www.ijrar.org/papers/IJRAR19XP033.pdf 11. Kavitha, R. & Inbalakshmi. (2018). Customers' Preference towards Online Shopping. International Journal of Creative Research Thoughts, 6(2), 473-477. https://ijcrt.org/papers/IJCRT1807300.pdf 12. Kim, R. Y. (2020). The impact of COVID-19 on consumers: Preparing for digital sales. IEEE Engineering Management Review, 48(3), 212-218. https://doi.org/10.1109/EMR.2020.2990115 13. Laato, S., Islam, A.K.M.N., Farooq, A., & Amandeep, A. (2020, November). Unusual purchasing behaviour during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services, 57 (2020), 1-12. https://doi.org/10.1016/j.jretconser.2020.102224 14. Maheswari, M. U. (2018). Factors Influencing Traditional Shopping and Online Shopping in Kanniyakumari District. RIMS Journal of Management, 3(1), 45-53. https://www.proquest.com/openview/e1b6236e0e224395db1142bcfb30ddf8/1?pqorigsite=gscholar&cbl=4877103 15. Mikmak (2025). Why Shopping Preference is the Key to Understanding Your Consumers. https://www.mikmak.com/blog/why-understanding-consumer-shopping-preferences-is-the-key# 16. Mortimer, G., Andrade, M.L.O., & Fazal-e-Hasan, S.M. (2024). From traditional to transformed: Examining the preand post-COVID consumers’ shopping mall experiences. Journal of Retailing and Consumer Services, 76(2024), 1-9. https://doi.org/10.1016/j.jretconser.2023.103583