scholarly journals Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

2021 ◽  
Vol 8 (1) ◽  
pp. 177
Author(s):  
Fajar Delli Wihartiko ◽  
Sri Nurdiati ◽  
Agus Buono ◽  
Edi Santosa
Keyword(s):  
Artificial Intelligence ◽  
Text Mining ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Community ◽  
Future Research ◽  
Literature Study ◽  
Blockchain Technology ◽  
Artificial Intelligence Technology ◽  
Number Of Publications

<p class="Abstrak">Dewasa ini teknologi <em>blockchain</em> dan kecerdasan buatan (<em>artificial intelligence</em>/AI) telah diimplementasikan dalam bidang pertanian. Teknologi <em>blockchain</em> menjanjikan keamanan dan peningkatan kepercayaan untuk pengguna. Teknologi kecerdasan buatan menjanjikan berbagai kemudahan bagi pengguna. Perpaduan kedua teknologi tersebut dapat meningkatan kepercayaan terhadap sistem kecerdasan buatan (<em>blockchain for</em> AI) atau dapat juga digunakan untuk meningkatkan kinerja sistem<em> blockchain </em>(AI <em>for</em> <em>blockchain</em>). Tujuan penelitian ini mengulas kedua teknologi tersebut dalam studi literatur serta memberikan tantangan riset ke depan terkait implementasinya di bidang pertanian.  Metodologi yang digunakan adalah <em>Systematic Literature Review </em>(SLR) dan <em>text mining</em>. <em>Text mining </em>digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. SLR digunakan untuk memberikan ulasan yang komprehensif terkait riset <em>Blockchain </em>dan kecerdasan Buatan dalam pertanian. Hasil penelitian menunjukan bahwa terdapat 10 % penelitian terkait penerapan <em>blockchain </em>dan AI dalam pertanian. Riset tersebut memiliki potensi besar untuk berkembang terlihat dari peningkatan jumlah publikasi dalam 2 tahun terakhir. Kontribusi penelitian ini meliputi posisi riset terkini dan usulan riset ke depan dengan mempertimbangkan kondisi pertanian Indonesia. Posisi riset tersebut didominasi komunitas peneliti dari negara-negara di Asia seperti India (33%), Pakistan (33%), China (14%) dan Korea (14%). Originalitas penelitian ini terletak pada studi literatur dari integrasi teknologi <em>blockchain </em>dan kecerdasan buatan dalam bidang pertanian menggunakan SLR dan <em>text mining.</em></p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstrak"><em>Artificial intelligence and blockchain technology are being developed and implemented in Agriculture. Blockchain technology promises security and trust for users. Moreover, artificial intelligence technology promises convenience for users. The combination of these two technologies will increase trust in artificial intelligence systems. Besides, this combination can also increase security on the blockchain system through the application of artificial intelligence. This paper summarizes the application of both technologies and reviews them in a systematic literature review, presents a description of articles based on text mining, and provides future research challenges related to the implementation of blockchain and artificial intelligence in agriculture. The methodologies used are Systematic Literature Review (SLR) and text mining. Text mining is used to describe a description of existing research based on the words in each selected article. SLR is used to provide a comprehensive review of Blockchain research and Artificial intelligence in agriculture. The results showed that there were 10% of research related to the application of blockchain and AI in agriculture. This research has great potential for growth as seen from the increase in the number of publications in the last 2 years. The contribution of this research includes the latest research positions and future research proposals taking into account the conditions of Indonesian agriculture. </em><em>The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). The originality of this research is a literature study on the integration of blockchain and artificial intelligence in agriculture using SLR and text mining.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

scholarly journals INTEREST-FREE FINANCING IN AGRO-INDUSTRY: CONCEPTS, THEORIES, METHODS AND RESEARCH GAPS

2021 ◽  
Vol 9 (03) ◽  
pp. 84-94
Author(s):  
Kiki Yulianto ◽  
◽  
Sukardi a ◽  
Nastiti Siswi Indrasti ◽  
Sapta Raharja ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Secondary Data ◽  
Future Research ◽  
Literature Study ◽  
Research Gaps ◽  
The Road ◽  
Road Map ◽  
Conference Papers

Interest-free financing in agro-industry is an exciting topic that has been developed by many researchers, but there is no clarity regarding the road map for future research. Therefore, formulations such as concepts, theories, methods, and research gaps, focusing on interest-free financing in agro-industry, are essential. This literature study was conducted using a systematic literature review method. The data used are secondary data from textbooks, theses/dissertations, conference papers, journals, scientific articles, and working papers. This study resulted in the formulation of the theory, concepts, and methods studied in the form of an explanation of 8 sub-topics of research gaps supported by references and explanations of state of the art. They are making it easier for researchers who have the same interest in developing and looking for novelties with the topic of interest-free financing research in the agro-industry.

scholarly journals Crowdsourcing: a systematic review of the literature using text mining

2020 ◽  
Vol 120 (11) ◽  
pp. 2041-2065
Author(s):  
Ioanna Pavlidou ◽  
Savvas Papagiannidis ◽  
Eric Tsui
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Relevant Literature ◽  
Reliability And Validity ◽  
Future Research ◽  
Content Type ◽  
Main Research ◽  
Critical Elements ◽  
A Value

PurposeThis study is a systematic literature review of crowdsourcing that aims to present the research evidence so far regarding the extent to which it can contribute to organisational performance and produce innovations and provide insights on how organisations can operationalise it successfully.Design/methodology/approachThe systematic literature review revolved around a text mining methodology analysing 106 papers.FindingsThe themes identified are performance, innovation, operational aspects and motivations. The review revealed a few potential directions for future research in each of the themes considered.Practical implicationsThis study helps researchers to consider the recent themes on crowdsourcing and identify potential areas for research. At the same time, it provides practitioners with an understanding of the usefulness and process of crowdsourcing and insights on what the critical elements are in order to organise a successful crowdsourcing project.Originality/valueThis study employed quantitative content analysis in order to identify the main research themes with higher reliability and validity. It is also the first review on crowdsourcing that incorporates the relevant literature on crowdfunding as a value-creation tool.

Can artificial intelligence replace manual search for systematic literature? Review on cutaneous manifestations in primary Sjögren’s syndrome

Rheumatology ◽  
2019 ◽  
Vol 59 (4) ◽  
pp. 811-819 ◽  
Author(s):  
Laure Orgeolet ◽  
Nathan Foulquier ◽  
Laurent Misery ◽  
Pascal Redou ◽  
Jacques-Olivier Pers ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Computer Software ◽  
Primary Objective ◽  
Cutaneous Manifestations ◽  
Manual Search ◽  
Annular Erythema ◽  
Number Of Publications ◽  
Selection Of

Abstract Objectives Manual systematic literature reviews are becoming increasingly challenging due to the sharp rise in publications. The primary objective of this literature review was to compare manual and computer software using artificial intelligence retrieval of publications on the cutaneous manifestations of primary SS, but we also evaluated the prevalence of cutaneous manifestations in primary SS. Methods We compared manual searching and searching with the in-house computer software BIbliography BOT (BIBOT) designed for article retrieval and analysis. Both methods were used for a systematic literature review on a complex topic, i.e. the cutaneous manifestations of primary SS. Reproducibility was estimated by computing Cohen’s κ coefficients and was interpreted as follows: slight, 0–0.20; fair, 0.21–0.40; moderate, 0.41–0.60; substantial, 0.61–0.80; and almost perfect, 0.81–1. Results The manual search retrieved 855 articles and BIBOT 1042 articles. In all, 202 articles were then selected by applying exclusion criteria. Among them, 155 were retrieved by both methods, 33 by manual search only, and 14 by BIBOT only. Reliability (κ = 0.84) was almost perfect. Further selection was performed by reading the 202 articles. Cohort sizes and the nature and prevalence of cutaneous manifestations varied across publications. In all, we found 52 cutaneous manifestations reported in primary SS patients. The most described ones were cutaneous vasculitis (561 patients), xerosis (651 patients) and annular erythema (215 patients). Conclusion Among the final selection of 202 articles, 155/202 (77%) were found by the two methods but BIBOT was faster and automatically classified the articles in a chart. Combining the two methods retrieved the largest number of publications.

Blockchain in general management and economics: a systematic literature review

2020 ◽  
Vol 32 (4) ◽  
pp. 765-783
Author(s):  
Rami Alkhudary ◽  
Xavier Brusset ◽  
Pierre Fenies
Keyword(s):  
Literature Review ◽  
Supply Chains ◽  
Systematic Literature Review ◽  
Future Research ◽  
Academic Journals ◽  
Content Type ◽  
Inaccurate Information ◽  
General Management ◽  
Blockchain Technology ◽  
Regulatory Frameworks

Purpose This paper aims to provide a systematic review of the literature addressing blockchain technology (BT) in general management and economics (GME). Design/methodology/approach A systematic literature review methodology is used to collect and analyze the literature. Findings Three clusters of research are identified, namely, law, economy and innovation. The use of BT in law areas fosters the registration of intellectual property (IP) rights, although conflict between some of BT applications and regulatory frameworks is present. Research on cryptocurrencies is of high interest to the economy today. In the innovation cluster, BT improves security, traceability and transparency in operations over supply chains. However, BT has many technical imperfections that hinder its wide adoption. Furthermore, the need for the full commitment of all business actors complicates its implementation. Research on BT is still at a nascent stage. Conceptual papers dominate the literature (18 theories are discussed). Eight main future research directions are described. For example, the relationship between the use of BT in supply chains and competitive advantage is not established; and quality standards for BT platforms are not developed. Research limitations/implications The review is restricted to academic journals in the fields of GME, which limits the extent of the conclusions. Originality/value The paper synthesizes 47 studies published in academic journals, avoiding misleading claims and inaccurate information insofar as possible; and provides a spectrum of descriptive statistics and qualitative meta-synthesis analysis of the current literature.

scholarly journals Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review

10.2196/20701 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e20701 ◽  
Author(s):  
Theresa Schachner ◽  
Roman Keller ◽  
Florian v Wangenheim
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Chronic Diseases ◽  
Language Processing ◽  
Systematic Literature Review ◽  
Chronic Conditions ◽  
Experimental Studies ◽  
Future Research ◽  
Conversational Agents ◽  
Quasi Experimental

Background A rising number of conversational agents or chatbots are equipped with artificial intelligence (AI) architecture. They are increasingly prevalent in health care applications such as those providing education and support to patients with chronic diseases, one of the leading causes of death in the 21st century. AI-based chatbots enable more effective and frequent interactions with such patients. Objective The goal of this systematic literature review is to review the characteristics, health care conditions, and AI architectures of AI-based conversational agents designed specifically for chronic diseases. Methods We conducted a systematic literature review using PubMed MEDLINE, EMBASE, PyscInfo, CINAHL, ACM Digital Library, ScienceDirect, and Web of Science. We applied a predefined search strategy using the terms “conversational agent,” “healthcare,” “artificial intelligence,” and their synonyms. We updated the search results using Google alerts, and screened reference lists for other relevant articles. We included primary research studies that involved the prevention, treatment, or rehabilitation of chronic diseases, involved a conversational agent, and included any kind of AI architecture. Two independent reviewers conducted screening and data extraction, and Cohen kappa was used to measure interrater agreement.A narrative approach was applied for data synthesis. Results The literature search found 2052 articles, out of which 10 papers met the inclusion criteria. The small number of identified studies together with the prevalence of quasi-experimental studies (n=7) and prevailing prototype nature of the chatbots (n=7) revealed the immaturity of the field. The reported chatbots addressed a broad variety of chronic diseases (n=6), showcasing a tendency to develop specialized conversational agents for individual chronic conditions. However, there lacks comparison of these chatbots within and between chronic diseases. In addition, the reported evaluation measures were not standardized, and the addressed health goals showed a large range. Together, these study characteristics complicated comparability and open room for future research. While natural language processing represented the most used AI technique (n=7) and the majority of conversational agents allowed for multimodal interaction (n=6), the identified studies demonstrated broad heterogeneity, lack of depth of reported AI techniques and systems, and inconsistent usage of taxonomy of the underlying AI software, further aggravating comparability and generalizability of study results. Conclusions The literature on AI-based conversational agents for chronic conditions is scarce and mostly consists of quasi-experimental studies with chatbots in prototype stage that use natural language processing and allow for multimodal user interaction. Future research could profit from evidence-based evaluation of the AI-based conversational agents and comparison thereof within and between different chronic health conditions. Besides increased comparability, the quality of chatbots developed for specific chronic conditions and their subsequent impact on the target patients could be enhanced by more structured development and standardized evaluation processes.

scholarly journals AI Technologies and Motives for AI Adoption by Countries and Firms: A Systematic Literature Review

2021 ◽  
pp. 39-51
Author(s):  
Rene Kabalisa ◽  
Jörn Altmann
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Economic Impact ◽  
Systematic Literature Review ◽  
Emerging Technologies ◽  
Economic Impacts ◽  
Future Research ◽  
Digital Revolution ◽  
The Way

AbstractIn this era of digital revolution, artificial intelligence stands to be one of the emerging technologies to revolutionize the way we live, work, or communicate. While everyone is fighting to lead in this technology, their readiness differs and adoption challenges arise in many sectors. These competitions also result in various economic impacts on countries, firms, and individuals. This paper uses a systematic literature review to analyze the existing economic impact of AI adoption and the technology used. Overall, this paper presents clear evidence that AI adoption has a large effect on an economy. Findings of this research help researchers and practitioners to identify important economic impacts of adopting AI, identify directions for future research, and set policies that need to be put in place.

scholarly journals Winter Sports Resorts and Natural Environment—Systematic Literature Review Presenting Interactions between Them

2021 ◽  
Vol 13 (2) ◽  
pp. 636
Author(s):  
Michał Żemła
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Natural Environment ◽  
Future Research ◽  
Final Conclusion ◽  
Winter Sports ◽  
Site Specific ◽  
Conducting Research ◽  
Number Of Publications ◽  
The Impact

The systematic literature review method was adopted to analyze the content of papers published since 2001 that focused on interactions between winter sports resort operations and the natural environment. A total of 86 papers published in journals indexed in SCOPUS data base were analyzed. Three main groups of topics presented in analyzed papers were found: the environmental impact of winter sports resorts, the management of environmental impacts and sustainable development of winter sports resorts, and finally the impact of climate change on winter sports resort operations. The biggest number of publications were devoted to the latter topic, and interest in conducting research within this area has apparently grown during the last two decades. However, most conclusions reached by the authors of numerous studies are site-specific and difficult to extend to other resorts/destinations. Additionally, the conclusions presented in many papers are contrary to the results achieved in other publications. Several gaps in our contemporary scientific knowledge and directions of future research are suggested in addition to the abovementioned results of the analysis conducted in the presented paper as the final conclusion of the research.

scholarly journals Lean construction and BIM in small and medium-sized enterprises (SMEs) in construction: a systematic literature review

2020 ◽  
Vol 47 (2) ◽  
pp. 186-201
Author(s):  
Algan Tezel ◽  
Martin Taggart ◽  
Lauri Koskela ◽  
Patricia Tzortzopoulos ◽  
John Hanahoe ◽  
...  
Keyword(s):  
Literature Review ◽  
Construction Industry ◽  
Systematic Literature Review ◽  
Construction Management ◽  
Lean Construction ◽  
Information Modeling ◽  
Future Research ◽  
Traditional Practices ◽  
Building Information ◽  
Number Of Publications

Lean construction (LC) and building information modeling (BIM) are two of the prominent concepts challenging the traditional practices in construction management. Small and medium-sized enterprises (SMEs) often constitute the largest group in construction supply chains. Increasing BIM and LC adoption amongst SMEs is a key condition for achieving the transformation of the construction industry through BIM and LC. The paper presents a systematic literature review of the adoption of (i) LC, (ii) BIM, and (iii) both LC and BIM in SMEs to evaluate the current literature, and 114 papers were included in the review. The bibliographic and content characteristics of the literature were discussed in detail. It was found that despite the importance of SMEs, the current LC and BIM literature falls short in terms of both number of publications and content of publications. The paper concludes with some generic suggestions for future research and action.

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