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    Comparative analysis of bibliometric data sources of empirical studies in the context of traditional, digital and phygital marketing
    (2023) Çelik, Zübeyir; Özdemir, Osman; Sağlam, Mehmet; Uslu, Aypar
    The aim of this study is to evaluate and comparatively examine the latest developments of empirical consumer behavior research in the field of marketing, covering the period 1960-1979 (traditional marketing) 1980-2006 (digital marketing) 2007-2021 (phygital marketing). Within the scope of the study, empirical studies in the field of traditional, digital and phygital marketing were examined in 5 steps in terms of publication source type, basic characteristics, study subject, theoretical background, research variables. In data analysis, bibliometric analysis was used with VOSviewer program. As a result of the study, it has been determined that different journals for different marketing fields are included in the publication production process, and the number of authors has increased in phygital marketing studies. It was concluded that mixed methods came to the fore, the questionnaire was the most used data collection tool, and SEM analysis started to be used more recently. While brand purchase intention, decision making process, dissatisfaction/satisfaction subjects come to the fore in traditional marketing, online reviews have gained importance on the basis of TAM theory in digital marketing, AR and VR technologies are concentrated in phygital marketing. In terms of research variables, intention, attitude and satisfaction themes came to the fore as motor themes in all periods.
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    Investigation of the effect of buyers' relationships with each other on their opinions on the benefits of smartphones by ucinet social network analysis
    (2023) Çelik, Zübeyir; Sağlam, Mehmet; Uslu, Aypar
    This study aims to test the effect of buyers' relationships with each other according to demographic characteristics (gender, age, marital status, and monthly income) on their views on the benefits of smartphones. It also investigates which benefit the buyers' relations with each other are grouped around. Data were collected by online survey method from 239 buyers who had purchased smartphones before. The obtained data were analyzed by running social network analysis on UCINET 6.0 program. The results of the analysis show that the relations of smartphone buyers with each other are mostly grouped in terms of multiple benefits. The results of the regression analysis show that buyers' relationships with each other by age, marital status, and monthly income, not by gender, have a significant effect on their opinions on both the functional benefits and multiple benefits of smartphones. In addition, the relationship of buyers to each other only by age, not by gender, marital status and monthly income, has a significant effect on their opinions on the experiential benefits of smartphones. However, buyers' relationships with each other by all demographic characteristics do not have a significant effect on their opinions on the symbolic benefit of smartphones. The results of the study were discussed.