Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Selvakumar, J. Joshua; Pachiyappan, Sathish; Suganya, G.; Suja, S.; Nandhi, Sreeraman; Sampath, Bharath Title A name given to the resource Investigating the Relationship Among Demographic Profiles and Customer Engagement Cluster Groups on Mobile E-Commerce Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Studies in Big Data;Volume;164;pp.437-463 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-75095-3_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-75095-3_35</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002013196?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002013196?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Selvakumar J.J., Christ University, Karnataka, Bangalore, India; Pachiyappan S., Christ University, Karnataka, Bangalore, India; Suganya G., Kumaraguru College of Liberal Arts and Science, Tamil Nadu, Coimbatore, India; Suja S., T. John College, Karnataka, Bangalore, India; Nandhi S., Christ University, Karnataka, Bangalore, India; Sampath B., CMS B-School, Jain (Deemed to Be) University, Karnataka, Bangalore, India Description An account of the resource Recently, the world is moving towards a new future where most of the communications is happening through the Internet. The use of smartphones has rapidly increased for the past two decades. People show high interest in adopting new technologies in their day to day lives. In order to connect very closely with the customers, many retailers started to expand their businesses with the help of mobile e-commerce applications. The extensive use of mobile phones and the favorable independence of time and location promised the future of mobile e-commerce applications. This created a necessity for the online businesses to understand the factors that influence customer engagement in mobile e-commerce applications. This research was aimed to provide a clear understanding on the factors that affect customer engagement in mobile e-commerce applications with respect to the age, frequency and experience of consumers. The factors like customer satisfaction, utilitarian value, ease of use, hedonic value, trust and personalized recommendations were taken into account to understand their influence on the customer engagement in mobile e-commerce applications. These factors were studied with respect to the age group of consumers and they were classified into four groups as follows: below 20years, 21 to 35years, 36 to 50years, 51years and above. Also, the effect of frequency and experience in using mobile applications towards customer engagement in mobile e-commerce applications were studied in this research. The questionnaire with 29 items were sent to 250 respondents through e-mail and other social media platforms and out of which 151 responses were taken into account for the analysis part. ANOVA tests were performed to analyze the influence of age, frequency and experience in using mobile e-commerce applications on the factors like customer satisfaction, utilitarian value, ease of use, hedonic value, trust and personalised recommendations that affect customer engagement in mobile e-commerce applications. To further analyze and group the respondents engagement in mobile e-commerce applications, k-means cluster analysis was performed. Later, ANOVA tests were performed to understand the differences among demographic profiles and cluster groups in customer engagement. From these tests, the moderating effect of age, frequency and experience factors on customer engagement were analyzed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Age; Customer engagement; E-Commerce; Experience; Frequency; Mobile applications; Online shopping applications Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21976503; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online