Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/15397
Title: Contribution of Generation Z Characteristics on Brand Dilution: A Case on Phone Industry Sri Lanka
Authors: Pemerathna, A.H.S.
Keywords: Social Media
Anti Millennia Personality
Brand Loyalty
Consumer Behavior
Issue Date: 2016
Publisher: Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka
Citation: Pemerathna, A.H.S. 2016. Contribution of Generation Z Characteristics on Brand Dilution: A Case on Phone Industry Sri Lanka. 7th International Conference on Business & Information ICBI – 2016, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka. p 49.
Abstract: The Underlying intention of this research is to identify the significance of generation Z idiosyncrasy and its influence on the brand dilution. This research would try to correlate the social characteristics of the mentioned generations and the consequential brand impact on modern business. Literature review was abstracted on the cultural aspects buyer behaviors and attitude movements of the generation Z, while the realism ontology was followed in creating the research methodology with interviews. Qualitative tools and methodologies were used to collect data and the interviews were the main tool while patterns identified through data coding. Analysis has proven that digital divine has limited the Sri Lankan society from all transformed anti millennia generation, where claimed personalities of Generation Z as well known it mostly exist in urban societies than rural. However, the backbone characteristics like social media, brand waring personality is commonly found in both the categories. While contributing to the academia of the country the research is expected to shade light on the marketing fraternity and top brand decision makers who would look up to sell most of their products to this new Generation.
URI: http://repository.kln.ac.lk/handle/123456789/15397
ISSN: 2465-6399
Appears in Collections:ICBI 2016

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