Evolution and Trends in Indonesian Green Marketing Research: A Systematic Review (2018-2023)

Adnan, Adimas Rois; Widowati, Retno; Nuryakin,

doi:10.56578/jgelcd020305

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The methodology adapted to the specific case was designed in the following phases, considering that the articles must comply with the conditions cited (the abstracts concurrently contain the terms "sustainability", "investor", and "stakeholder"): (i) database selection and identification of the articles to be examined, (ii) identification, extraction, and encoding of the terms or sequences of sustainability-related words contained in the abstracts of the articles selected, and the grouping of the terms by categories, (iii) calculation of the standardised frequency of appearance of the terms encoded, and (iv) evaluation of the data. See the graphic description of the methodology applied in Figure 2 (a similar graphic representation scheme to that applied in [62] has been followed).…”

Section: Methodsmentioning

confidence: 99%

What Are Investors Most Interested in about Sustainability? An Approach from the Scientific Literature

Oliveros Fontaine,

del Campo,

Urquía-Grande

2024

Sustainability

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In the midst of the development of international frameworks for the dissemination of information on sustainability, the European Union published the Corporate Sustainability Reporting Directive (CSRD) in order to meet user requirements on sustainability. To achieve its objectives, the Directive assigns large companies and investors a key role in the transmission of sustainability-related information, leveraging their capacity to influence. An increased separate use of the term “investor” has been noted in the sustainability-related literature regarding the overall “stakeholder” that contains it. Our research applies a methodology based on analysis of the content of the abstracts from 260 articles published prior to the approval of the CSRD, with the aim of identifying whether that separate use implied that investors’ interests are concentrated on sustainability-related aspects. The results of the research concluded that there is no statistical significance between the separate, growing use of the term “investor” and a generalised use in the lexical field related to sustainability that might characterise the influence of investors. This work encourages future research directions to examine how the enactment of the CSRD may affect the trend in investor influence on the dissemination of sustainability-related information.

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Section: Methodsmentioning

confidence: 99%

What Are Investors Most Interested in about Sustainability? An Approach from the Scientific Literature

Oliveros Fontaine,

del Campo,

Urquía-Grande

2024

Sustainability

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“…This article reviews the study of the application of AI technology in the shipping industry published during the period of 2001-2022, and the analysis of the quantity of publications over the years provides an understanding of the changes in the research hotspots in this field and the future development trend [33,34]. Figure 1 contains the statistics of the quantity of publications on the study on the application of AI technology in the shipping industry in the past ten years.…”

Section: Annual Publication Trendsmentioning

confidence: 99%

The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review

Xiao,

Yang,

et al. 2024

JMSE

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Artificial intelligence (AI) technologies are increasingly being applied to the shipping industry to advance its development. In this study, 476 articles published in the Science Citation Index Expanded (SCI-EXPANDED) and the Social Sciences Citation Index (SSCI) of the Web of Science Core Collection from 2001 to 2022 were collected, and bibliometric methods were applied to conduct a systematic literature of the field of AI technology applications in the shipping industry. The review commences with an annual publication trend analysis, which shows that research in the field has been growing rapidly in recent years. This is followed by a statistical analysis of journals and a collaborative network analysis to identify the most productive journals, countries, institutions, and authors. The keyword “co-occurrence analysis” is then utilized to identify major research clusters, as well as hot research directions in the field, providing directions for future research in the field. Finally, based on the results of the keyword co-occurrence analysis and the content analysis of the papers published in recent years, the research gaps in AIS data applications, ship trajectory, and anomaly detection, as well as the possible future research directions, are discussed. The findings indicate that AIS data in the future research direction are mainly reflected in the analysis of ship behavior and AIS data repair. Ship trajectory in the future research direction is mainly reflected in the deep learning-based method research and the discussion of ship trajectory classification. Anomaly detection in the future research direction is mainly reflected in the application of deep learning technology in ship anomaly detection and improving the efficiency of ship anomaly detection. These insights offer guidance for researchers’ future investigations in this area. In addition, we discuss the implications of research in the field of shipping AI from both theoretical and practical perspectives. Overall, this review can help researchers understand the status and development trend of the application field of AI technology in shipping, correctly grasp the research direction and methodology, and promote the further development of the field.

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Sustainable Maritime Transport: A Review of Intelligent Shipping Technology and Green Port Construction Applications

Xiao,

Wang,

et al. 2024

JMSE

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With the global economy’s relentless growth and heightened environmental consciousness, sustainable maritime transport emerges as a pivotal development trajectory for the shipping sector. This study systematically analyzes 478 publications searched in the Web of Science Core Collection, from 2000 to 2023, utilizing bibliometric methods to investigate the application areas in sustainable development within the shipping industry. This study begins with an analysis of annual publication trends, which reveals a substantial expansion in research endeavors within this discipline over recent years. Subsequently, a comprehensive statistical evaluation of scholarly journals and a collaborative network assessment are conducted to pinpoint the foremost productive journals, nations, organizations, and individual researchers. Furthermore, a keyword co-occurrence methodology is applied to delineate the core research themes and emerging focal points within this domain, thereby outlining potential research directions for future research. In addition, drawing on the keyword co-occurrence analysis, the advancements in intelligent shipping technologies and green port construction applications within sustainable maritime transport are discussed. Finally, the review discusses the existing challenges and opportunities of sustainable maritime transport from a theoretical and practical perspective. The research shows that, in terms of intelligent shipping technology, data security and multi-source data are the focus that people need to pay attention to in the future; a trajectory prediction for different climates and different ship types is also an area for future research. In terms of green ports, Cold Ironing (CI) is one of the key points of the green port strategy, and how to drive stakeholders to build sustainable green ports efficiently and economically is the future developmental direction. This review serves to enhance researchers’ comprehension of the current landscape and progression trajectory of intelligent shipping technologies, thereby fostering the continued advancement and exploration in this vital domain.

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Evolution and Trends in Indonesian Green Marketing Research: A Systematic Review (2018-2023)

Cited by 3 publications

References 23 publications

What Are Investors Most Interested in about Sustainability? An Approach from the Scientific Literature

What Are Investors Most Interested in about Sustainability? An Approach from the Scientific Literature

The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review

Sustainable Maritime Transport: A Review of Intelligent Shipping Technology and Green Port Construction Applications

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