Global Research Trends in Consumer Behavior and Sustainability in E-Commerce: A Bibliometric Analysis of the Knowledge Structure

Rita, Paulo; Ramos, Ricardo Filipe

doi:10.3390/su14159455

Cited by 45 publications

(33 citation statements)

References 84 publications

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“…The most cited document (total citation = 1,872) was Snyder’s (2019) work on conducting an overview and suggesting guidelines for conducting a literature review (Table 2). The normalized citation compares an article’s performance to the data set’s average performance (Bornmann and Marx, 2015; Rita and Ramos, 2022). Snyder (2019)’s work has the highest normalized citation index (4.13), revealing its outstanding performance compared with the remaining articles from the data set.…”

Section: Resultsmentioning

confidence: 99%

Mapping research in marketing: trends, influential papers and agenda for future research

Ramos,

Rita,

Vong

2023

SJME

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Purpose This study aims to map the conceptual structure and evolution of the recent scientific literature published in marketing journals to identify the areas of interest and potential future research directions. Design/methodology/approach The 100 most influential marketing academic papers published between 2018 and 2022 were identified and scrutinized through a bibliometric analysis. Findings The findings further upheld the critical role of emerging technologies such as Blockchain in marketing and identified artificial intelligence and live streaming as emerging trends, reinforcing the importance of data-driven marketing in the discipline. Research limitations/implications The data collection included only the 100 most cited documents between 2018 and 2022, and data were limited only to Scopus database and restrained to the Scopus-indexed marketing journals. Moreover, documents were selected based on the number of citations. Nevertheless, the data set may still provide significant insight into the marketing field. Practical implications Influential authors, papers and journals identified in this study will facilitate future literature searches and scientific dissemination in the field. This study makes an essential contribution to the marketing literature by identifying hot topics and suggesting future research themes. Also, the important role of emerging technologies and the shift of marketing toward a more data-driven approach will have significant practical implications for marketers. Originality/value To the best of the authors’ knowledge, this is the first comprehensive study offering a general overview of the leading trends and researchers in marketing state-of-the-art research.

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Section: Resultsmentioning

confidence: 99%

Mapping research in marketing: trends, influential papers and agenda for future research

Ramos,

Rita,

Vong

2023

SJME

Self Cite

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“…Social media has given businesses a previously unheard-of opportunity to communicate with customers in real-time and access uncharacteristically large and rich consumer information that may be used to revolutionize their business and marketing strategies (Kumar and Sharma, 2022;Stojanovic et al, 2018). Social media analytics can be envisaged as a multidisciplinary strategy that integrates text mining, social network analysis and data mining to allow firms to take advantage of techniques like sentiment analysis, topic modeling, social network analysis and influencer identification (Ramos et al, 2019(Ramos et al, , 2022Rita et al, 2022). Social network analysis enables companies to think about network problems and extract valuable and practical information for various applications, utilizing network science that offers a complete set of approaches, with applications such as personalized targeting and influencer detection (Fuentes-Medina et al, 2018;Rita et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…By collecting a large set of articles, we aimed to analyze an extensive review of the scientific knowledge published in EJMBE (Paul and Benito, 2018). A bibliometric analysis was used to systematically analyze science networks to acquire knowledge on the evolution and studies of a significant number of researchers (Donthu et al ., 2021; Rita and Ramos, 2022).…”

Section: Methodsmentioning

confidence: 99%

Structure of REDEE and EJMBE research: a bibliometric analysis

Ramos

Rita

2023

EJMBE

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PurposeEvaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research evolution of the Revista Europea de Dirección y Economia de la Empresa (REDEE) and the European Journal of Management and Business Economics (EJMBE).Design/methodology/approachA bibliometric analysis was conducted to acknowledge the most contributing authors, impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks. A total of 454 articles published between 2006 and 2022 were analyzed.FindingsThe results suggest that the international strategy set in 2014 has resulted in a steadily growing number of publications and a significant increment in citations. Relationship marketing and the connections between innovation, performance and entrepreneurship are topics of interest for the EJMBE.Originality/valueMapping existing EJMBE research through identifying the contributing authors, most impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks is missing to encourage new research projects.

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“…This study assesses the literature of information theoretic with data obtained from the Scopus database. Scopus is a universally accepted citation database that houses many high-quality peer-reviewed papers [ 16 , 17 ]. Since Scopus has wider coverage than the Web of Science, it is highly suited to be used in bibliometric analysis [ 18 , 19 ].…”

Section: Methodsmentioning

confidence: 99%

Bibliometric Analysis of Information Theoretic Studies

Lam

Siew

Jaaman

et al. 2022

Entropy

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Statistical information theory is a method for quantifying the amount of stochastic uncertainty in a system. This theory originated in communication theory. The application of information theoretic approaches has been extended to different fields. This paper aims to perform a bibliometric analysis of information theoretic publications listed on the Scopus database. The data of 3701 documents were extracted from the Scopus database. The software used for analysis includes Harzing’s Publish or Perish and VOSviewer. Results including publication growth, subject areas, geographical contributions, country co-authorship, most cited publications, keyword co-occurrence analysis, and citation metrics are presented in this paper. Publication growth has been steady since 2003. The United States has the highest number of publications and received more than half of the total citations from all 3701 publications. Most of the publications are in computer science, engineering, and mathematics. The United States, the United Kingdom, and China have the highest collaboration across countries. The focus on information theoretic is slowly shifting from mathematical models to technology-driven applications such as machine learning and robotics. This study highlights the trends and developments of information theoretic publications, which helps researchers to understand the state of the art of information theoretic approaches for future contributions in this research domain.

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Global Research Trends in Consumer Behavior and Sustainability in E-Commerce: A Bibliometric Analysis of the Knowledge Structure

Cited by 45 publications

References 84 publications

Mapping research in marketing: trends, influential papers and agenda for future research

Mapping research in marketing: trends, influential papers and agenda for future research

Structure of REDEE and EJMBE research: a bibliometric analysis

Bibliometric Analysis of Information Theoretic Studies

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