This study aimed to identify the effective factors of the digital lifestyle of Iranian Generation Z using qualitative and quantitative methods. In the first step, To obtain data from the literature, articles published in the Web of Science database between years 2010 to 2025 were selected to find the research gap in this field. Systematic review was conducted using the bibliometric method using VOSviewer software and the R programming language. In this step, four clusters were identified. Cluster 1: AI adoption in Generation Z behavioral intention, Cluster 2: The impact of experience, satisfaction, and loyalty on Generation Z consumption, Cluster 3: Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) in Generation Z behavioral intention, and Cluster 4: Generation Z’s innovative information performance on social media. In the next step, thematic analysis was conducted using interviews with experts. Coding was done manually using MAXQDA software. In the quantitative section, to calculate the level of influence, the capacity for influence, and the centrality index, the calculated weights for 41 relationships were used in a matrix as input to the FCMapper software. The results obtained indicate that the variables of influencers, multimedia habits and literacy, brand loyalty and support, online purchases and payments, purchasing behavior, brand acceptance, attitudes and preferences, brand engagement, beliefs and values, artificial intelligence, and motivation have the highest level of influence, capacity for influence, and centrality index, respectively.