26 years left behind: a historical and predictive analysis of electronic business research

Çadırcı, Tuğçe Ozansoy; Güngör, Ayşegül Şağkaya

doi:10.1007/s10660-021-09459-y

Cited by 10 publications

(4 citation statements)

References 16 publications

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“…Despite the considerable accumulation of research on online consumer behavior, there is limited research that tries to integrate the findings of these studies to provide a more comprehensive understanding of digital consumers. Previous literature reviews had focused on a variety of subjects like influencer marketing and social media (Gatautis & Kazakevičiūtė, 2012; Vrontis et al., 2020; Zhang & Benyoucef, 2016), flow theory (Bölen et al., 2021); online reviews (Atchariyakarn & Zhang, 2021; Zheng, 2021), online retailing (Mishra et al.,2021; Nguyen et al., 2018; Wagner et al., 2020), the impact of psychology on online consumer behavior (Liao & Chung, 2011), new technologies (Ferreira et al.,2021; Taufik et al.,2021; Xi & Hamari, 2021); mobile channel (Cavalinhos et al., 2021; Jebarajakirthy et al., 2021); electronic business (Ozansoy Çadırcı & Sağkaya Güngör, 2021), and electronic word‐of‐mouth (Verma & Yadav, 2021). Consumer behavior has always been a multi‐facet research domain; as a result, the digitalization of consumption is also expected to create a similar picture.…”

Section: Introductionmentioning

confidence: 99%

“…SAĞKAYA GÜNGÖR ANd OZANSOY ÇAdIRCI (Atchariyakarn & Zhang, 2021;Zheng, 2021), online retailing (Mishra et al,2021;Nguyen et al, 2018;Wagner et al, 2020), the impact of psychology on online consumer behavior (Liao & Chung, 2011), new technologies (Ferreira et al,2021;Taufik et al,2021;Xi & Hamari, 2021); mobile channel (Cavalinhos et al, 2021;Jebarajakirthy et al, 2021); electronic business (Ozansoy Çadırcı & Sağkaya Güngör, 2021), and electronic word-of-mouth (Verma & Yadav, 2021). Consumer behavior has always been a multi-facet research domain; as a result, the digitalization of consumption is also expected to create a similar picture.…”

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confidence: 99%

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Understanding digital consumer: A review, synthesis, and future research agenda

Güngör

Çadırcı

2022

Int J Consumer Studies

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In the last 20 years, the proliferation of digital technologies has significantly impacted both businesses' operations and how consumers get information, engage, and buy. Through the analysis of 74 marketing journals, this article identifies the current situation and possible gaps within digital consumer behavior research. By combining bibliometric analysis and machine learning algorithms, the authors have identified key topics in 5‐year intervals and their evolution over time. The study results show that digitalization has overreached its original subsistence and has become an essential aspect of mainstream consumption patterns. The study reveals three domains within digital consumer behavior: (1) the use of classical consumption theories and their application to digital context; (2) transactional subjects within consumers’ digitalization; and (3) digital marketing's impact on the consumption of specific product groups. Regression‐based time series applied to 42 topics discovered by text mining to define possible future research directions. Within 42 topics, significant growth is expected in mobile channel use, sustainable consumption, user‐generated content, and social media engagement. In general, the results exhibit a shift from a transactional point of view to a more theoretical and strategic perspective. Possible research gaps are expected to emerge from: (1) the impact of interactive and immersive technologies on consumption practices; (2) the possible outcomes of the pandemic on digital consumption patterns; (3) enhancing brand engagement through consumer‐to‐consumer interactions; (4) enhancing the understanding on issues like consumer collaboration, consumer trust, and service satisfaction.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Understanding digital consumer: A review, synthesis, and future research agenda

Güngör

Çadırcı

2022

Int J Consumer Studies

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“…The first online transaction was done through the Net Market website in 1994. The online retailing giants: Amazon and eBay launched their online websites in 1995 (Çadırcı & Güngör, 2021). Therefore, the online marketing concept became mature toward the end of the 1990s.…”

Section: Methodsmentioning

confidence: 99%

Antecedents of Electronic Shopping Cart Abandonment during Online Purchase Process

Patharia

Jain

2023

Business Perspectives and Research

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The present study synthesized the extant literature on electronic shopping cart abandonment (ESCA) for the last 22 years (2000–2022) using the PRISMA approach. This is one of the first studies that comprehensively synthesized the widely applied theories in the ESCA literature and the reasons for ESCA during the various stages of online shopping process (search stage, consideration stage, evaluation stage, and purchase stage). The findings suggest that Stimulus Organism Response theory, Cognitive Dissonance theory, and the Theory of Reasoned Action are the most prominent theories used in the ESCA literature. Further, customers abandon the electronic shopping cart due to several personal factors (e.g., trust, experience), website features (e.g., perceived behavioral tracking), and product attributes (e.g., perceived service quality). This study gives a snapshot of knowledge gaps in the ESCA domain and suggests future research directions from multifarious perspectives i.e., theoretical underpinnings, contexts, and customer characteristics. For marketers, it provides insights on factors affecting ESCA at each stage of the online shopping process to develop stage wise pragmatic strategies like gamification on shopping websites, improving navigational aspects on websites, removing threats to customer privacy, and creating greater transparency to increase customer trust.

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“…In this study, word clouds were generated using the Word Cloud library in Python to represent the main research content and each topic. The library enables users to customize the appearance of the word cloud, such as font size, colour, and layout, to provide a clear and concise summary of the text [46]. Figure 2 displays a word cloud generated in this study.…”

Section: Text Analysismentioning

confidence: 99%

Evaluating the Performance of Topic Modeling Techniques for Bibliometric Analysis Research: An LDA-based Approach

Nguyen,

Chansanam,

Hunsapun

et al. 2024

HighTech. Innov. J.

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Digital technologies have been used for a vast amount of bibliometric analysis research. Although these technologies have made scientific investigation more accessible and efficient, scholars now face the daunting task of sifting through an overwhelming number of documents. This study aims to identify bibliometric research analysis's primary topics, categories, and latent topics from a global perspective. This study utilized topic modeling techniques to analyze the abstracts of 16,039 eligible papers published between 1977 and 2023 in the Scopus database. Through the use of Latent Dirichlet Allocation (LDA) topic modeling, the study was able to identify four distinct research topics and observe how they have evolved over time. The research topic has shifted its focus from individual concepts and words to relationships between nodes and conceptual, intellectual, and social structures. The study’s findings have significant implications for bibliometric analysis-related research, providing valuable insights into trends and patterns in bibliometric analysis content within large digital article archives. The LDA has proven to be an efficient tool for analyzing these trends and patterns quickly. This study's novel approach considers factors for word embedding usage and optimal topic numbers. It focuses on a full understanding of the LDA results and combines statistical analysis, domain knowledge, and temporal exploration to better understand how data structures work. Doi: 10.28991/HIJ-2024-05-02-07 Full Text: PDF

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26 years left behind: a historical and predictive analysis of electronic business research

Cited by 10 publications

References 16 publications

Understanding digital consumer: A review, synthesis, and future research agenda

Understanding digital consumer: A review, synthesis, and future research agenda

Antecedents of Electronic Shopping Cart Abandonment during Online Purchase Process

Evaluating the Performance of Topic Modeling Techniques for Bibliometric Analysis Research: An LDA-based Approach

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