Do Privacy and Enjoyment Matter in Personalized Services?

Pappas, Ilias O.; Giannakos, Michail N.; Chrissikopoulos, Vassilios

doi:10.20533/ijds.2040.2570.2013.0091

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…Additionally, it is a significant factor in consumers' shopping motivations (Gomez et al ., 2012). Previous studies have demonstrated that the level of enjoyment experienced during the shopping process notably influences consumer behavior (Pappas et al ., 2012) in the context of brick-and-mortar stores. During shopping, individuals may experience a notable sensation of gratification and entertainment (Agarwal and Sahu, 2022; Shannon and Mandhachitara, 2008).…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

Investigating online shopping behavior of generation Z: an application of theory of consumption values

Rana,

Azim,

Arif

et al. 2024

JCMARS

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PurposeThe tech savvy generation Z consumers constitute a significant market of online shopping. Understanding their shopping behavior is thus a pressing need to expand the e-commerce business. Under this backdrop, the study aims to predict the online shopping behavior of generation Z customers in Bangladesh.Design/methodology/approachThis study used the theory of consumption values (TCV) along with shopping enjoyment to understand the online shopping behavior of generation Z. A structured set of questionnaire was used to gather the responses on a five point Likert scale. A total of 411 valid responses were considered after discarding incomplete responses. The collected data were analyzed using the partial least squares structural equation modeling (PLS-SEM) approach with the help of smart PLS 4.0 software.FindingsThe statistical findings reveal that functional value is the most significant determinant of online shopping behavior among generation Z followed by social value, conditional value and epistemic value. The study also reveals that relationship between emotional value and online shopping behavior and relationship between conditional value and online shopping behavior is moderated by shopping enjoyment.Originality/valueThe paper contributes to the consumer behavior literature as the findings provide a comprehensive model from values perspectives to understand online shopping behavior among Gen Z customers in a developing country like Bangladesh. The findings of this study offer important insights to the marketers also since it reveals the values consumers consider while shopping online. The findings might help practitioners develop their online strategies to expand the business.

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Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

Investigating online shopping behavior of generation Z: an application of theory of consumption values

Rana,

Azim,

Arif

et al. 2024

JCMARS

View full text Add to dashboard Cite

show abstract

“…Personalized Recommendations: Based on the user's preferences for shop type, cuisine type, and price range, the recommendation system should generate a list of relevant options. These recommendations can include nearby shops, restaurants, or products that align with the user's preferences [9][10][11][12]. Presentation of Recommendations: Present the recommended options to the user in a visually appealing and user-friendly manner.…”

Section: Implementation Initializationmentioning

confidence: 99%

A Survey of On Personalized E-Commerce

Ankit Jha,

Sankalp Kinikar,

Sudip Ghevade

et al. 2024

Int Res J Adv Engg Mgt

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The Personalized e-commerce application proposed by us incorporates several essential modules to provide a seamless and convenient shopping experience for users. The app utilizes GPS or network-based location services to determine the user's location and search for nearby shops within a specified radius of 5 km. The app also allows users to set preferences such as cuisine, product category, and price range, which are used to filter the list of nearby shops and display only those that match the user's preferences. The app provides relevant information for each shop, such as its name, address, product offerings, prices, and rating options to get directions to the selected shop. Additionally, the app will enable users to make purchases either by redirecting them to the shop's website or by implementing an in-app purchasing process. With these features, the proposed personalized e-commerce app offers a personalized and convenient shopping experience for users, allowing them to find and purchase products from nearby shops with ease.

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“…In traditional brick-and-mortar retailing, the focus of personalization is on social interactions between service employees and their customers to generate positive psychological responses (Pappas, Giannakos, & Chrissikopoulos, 2013). In this situation, besides forming a rapport from warm welcoming, small talk, or eye contact, personalized experiences at various other service levels are not available, because of the limited technological support in traditional retailing.…”

Section: Literature Review Personalization and Privacymentioning

confidence: 99%

Personalized E-Services: Consumer Privacy Concern and Information Sharing

Lee¹,

Lee²,

Lee³

et al. 2015

soc behav pers

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Our purpose was to identify the behavioral characteristics and determine the attitudes of different customer segments in regard to the personalization features of e-tailers' websites as they related to the criteria of privacy concern and willingness to share information. The data of 1,659 participants were subjected to multivariate analyses of variance and discriminant analysis methods. The results indicated that the customer segment for whom it was most likely to be profitable for companies to establish a personalized e-tail strategy had a high level of privacy concern and considerable online shopping experience, were willing to share personal information, and had a low level of privacy concern. By profiling online consumers falling within these categories, our aim was to fill the gaps and address discrepancies in the current e-personalization literature by adding to the available information about consumer privacy concern and information sharing. Limitations and implications of the findings are discussed.Personalization in e-commerce is currently at a stage at which the economic potential for its future application seems to be promising, based on the assumptions that electronic retailing (e-tailing) companies' investment in it will be appreciated by consumers and that those companies will eventually yield rewards (Moon, Chadee, & Tikoo, 2008). However, the sector's optimism has been shaken by findings in recent empirical studies that show mixed results regarding the effect SOCIAL

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Do Privacy and Enjoyment Matter in Personalized Services?

Abstract: Abstract

Cited by 5 publications

References 28 publications

Investigating online shopping behavior of generation Z: an application of theory of consumption values

Investigating online shopping behavior of generation Z: an application of theory of consumption values

A Survey of On Personalized E-Commerce

Personalized E-Services: Consumer Privacy Concern and Information Sharing

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