• 제목/요약/키워드: Review literature as topic

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Too Much Information - Trying to Help or Deceive? An Analysis of Yelp Reviews

  • Hyuk Shin;Hong Joo Lee;Ruth Angelie Cruz
    • Asia pacific journal of information systems
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    • 제33권2호
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    • pp.261-281
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    • 2023
  • The proliferation of online customer reviews has completely changed how consumers purchase. Consumers now heavily depend on authentic experiences shared by previous customers. However, deceptive reviews that aim to manipulate customer decision-making to promote or defame a product or service pose a risk to businesses and buyers. The studies investigating consumer perception of deceptive reviews found that one of the important cues is based on review content. This study aims to investigate the impact of the information amount of review on the review truthfulness. This study adopted the Information Manipulation Theory (IMT) as an overarching theory, which asserts that the violations of one or more of the Gricean maxim are deceptive behaviors. It is regarded as a quantity violation if the required information amount is not delivered or more information is delivered; that is an attempt at deception. A topic modeling algorithm is implemented to reveal the distribution of each topic embedded in a text. This study measures information amount as topic diversity based on the results of topic modeling, and topic diversity shows how heterogeneous a text review is. Two datasets of restaurant reviews on Yelp.com, which have Filtered (deceptive) and Unfiltered (genuine) reviews, were used to test the hypotheses. Reviews that contain more diverse topics tend to be truthful. However, excessive topic diversity produces an inverted U-shaped relationship with truthfulness. Moreover, we find an interaction effect between topic diversity and reviews' ratings. This result suggests that the impact of topic diversity is strengthened when deceptive reviews have lower ratings. This study contributes to the existing literature on IMT by building the connection between topic diversity in a review and its truthfulness. In addition, the empirical results show that topic diversity is a reliable measure for gauging information amount of reviews.

Literature Review of Extended Reality Research in Consumer Experience: Insight From Semantic Network Analysis and Topic Modeling

  • Hansol Choi;Hyemi Lee
    • Asia Marketing Journal
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    • 제26권1호
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    • pp.45-59
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    • 2024
  • Extended Reality (XR) technology, the umbrella term covering hyper-realistic technologies, is known to enhance consumer experience and is therefore developing rapidly and being utilized across various industries. Growing studies have examined XR technology and consumer experience; however, the literature has failed to fully explore hyper-realistic technology through a holistic perspective. To fill this gap, we analyzed 720 Korean and international articles through semantic network analysis and topic modeling and identified the literature on XR research in consumer experience. As a result, we extracted six main topics: "Tourism," "Buying Behavior," "XR Technology Acceptance," "Virtual Space," "Game," and "XR Environment." The results provide comprehensive insight on XR technology in consumer experience, whereas the literature is bounded on the production side as revealing a lack of academic discourse on consumer rights and responsibilities. Research reflecting the consumer welfare perspective is, therefore, recommended for future studies.

Topic Modeling을 이용한 Twitter상에서 스모그 리스크에 관한 대중 인식 분류 연구 (Classification of Public Perceptions toward Smog Risks on Twitter Using Topic Modeling)

  • 김윤기
    • 지적과 국토정보
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    • 제47권1호
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    • pp.53-79
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    • 2017
  • 본 연구의 주된 목적은 토픽 모델링(topic modeling)을 이용하여 트위터 상에서 스모그 리스크(smog risks)에 관한 대중 인식(public perceptions)을 측정하고 분류하는 것이다. 선행연구에 있어서 연구 갭(research gap)을 확인하기 위하여 본 연구는 스모그 리스크와 토픽 모델링에 대한 선행연구를 검토하였다. 그 결과 본 저자는 기존의 연구에서 상당한 연구 갭이 존재하고 있음을 확인하였으며, 이러한 연구 갭을 메우기 위해 다섯 개의 연구 질문을 설정하였다. 연구 질문들에 답을 구하기 위하여 본 연구는 10,000개의 트위터 자료를 추출하였고, 이에 대하여 워드 클라우드 분석(word cloud analysis), 상관분석, LDA를 이용한 토픽 모델링, 스트림그래프(stream graph), 위계적 집락분석(hierarchical cluster analysis)을 실시하였다. 분석 결과 자주 언급되는 단어들(the most frequent terms), 단어네트워크(terms network)의 형태, 상관관계의 유형, 스모그 관련 주제의 변동패턴에 있어서 뉴욕과 런던 사이에 큰 차이가 있음을 확인하였다. 그리하여 본 저자는 다섯 개의 연구 질문 중 네 개에 대하여 긍정적인 답을 구할 수 있었고, 이를 토대로 몇 가지 정책적 시사점을 제시하고, 향후 연구를 위한 제안들을 하였다.

LDA를 이용한 국제지적연구의 주제와 추세확인에 관한 연구: 특히 FIG Peer Review Journal을 중심으로 (A Study on Identifying Topics and Trends in International Cadastral Research Using LDA: With Special Reference to the FIG Peer Review Journal)

  • 김윤기
    • 지적과 국토정보
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    • 제48권1호
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    • pp.15-33
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    • 2018
  • 본 연구의 주된 목적은 LDA를 이용하여 국제지적연구의 주제와 연구추세를 확인하는 것이었다. 이러한 연구목적을 달성하기 위해 나는 LDA와 국제지적연구에 관한 선행연구를 검토하였고 이를 기반으로 4 개의 연구 질문을 설정하였다. 이러한 연구 질문에 답을 구하기 위해 나는 FIG Peer Review Journal에 2008년 1월1일 부터 2017년 10월 31일 사이에 발표된 370편의 논문들을 LDA를 이용하여 분석하였다. 분석의 결과 나는 국제지적연구에 12개의 주요 주제가 존재하고 있음을 확인하였다. 그리고 이러한 주제 중에 가장 영향력 있는 주제는 topic 2 (지적정보시스템)로 확인되었으며 또한 topic 5 (토지개발과 토지행정)도 전체 문서에서 중요한 역할을 수행하고 있는 주제로 파악되었다. 이두 주제는 지난 10년 동안 추세선이 매우 활발하게 움직인 가장 인기 있는 주제들로서 앞으로의 지적연구에서도 주도적인 역할을 수행할 것이 틀림없다.

Trends in the AI-based Banking Conversational Agents Literature: A Bibliometric Review

  • Eden Samuel Parthiban;Mohd. Adil
    • Asia pacific journal of information systems
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    • 제33권3호
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    • pp.702-736
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    • 2023
  • Artificial Intelligence (AI) and the technologies powered by AI fuel the fourth industrial revolution. Being the primary adopter of such innovations, banking has recently started using the most common AI-based technology, i.e., conversational agents. Although research extensively focuses on this niche area and provides bibliometric understanding for such agents in other industries, a similar review with scientometric insights of the banking literature concerning AI conversational agents is absent till date. Furthermore, in the era following the pandemic, banks are faced with the imperative to provide solutions that align with the changing landscape of remote consumer behavior. As a result, banks are proactively integrating technology-driven solutions, such as automated agents, to effectively address the growing demand for remote customer support. Hence more research is needed to perfect such agents. In order to bridge these existing gaps, the present study undertook a comprehensive examination of two decades' worth of banking literature. A meticulous review was conducted, analyzing approximately 116 papers published from 2003 to 2023. The aim was to provide a scientometric overview of the topic, catering to the research needs of both academic and industrial professionals. Holistically, the study seeks to present a macro-view about the existing trends in AI based banking conversational agents' literature while focusing on quantity, qualitative and structural indicators that are effectively necessary to offer new directions for the AI-based banking solutions. Our study, therefore, presents insights surrounding the literature, using selected techniques related to performance analysis and science mapping.

Systematic Literature Review on Zakat Distribution Studies as Islamic Social Fund

  • Azhar ALAM;Ririn Tri RATNASARI;Ari PRASETYO;Muhamad Nafik Hadi RYANDONO;Umniyati SHOLIHAH
    • 유통과학연구
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    • 제22권2호
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    • pp.21-30
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    • 2024
  • Purpose: This study explores the development of zakat distribution studies and the integration of existing studies. This study is expected to complement a systematic literature review in the field of zakat distribution to inspire further research directions. Research design, data, and methodology: This research method uses a systematic literature review assisted by the Nvivo application and the PRISMA system, which selects from 427 articles to 53 articles to be analyzed based on publication and classification of the theme of its findings. This study describes publications, authors, themes, cited articles, and research themes. Results: This study shows the dominance of Malaysian writers and significant developments in 2020. In addition, the study shows the most popular articles based on the most citations and word cloud analysis. The primary topics of zakat distribution publications are management strategy, development, the zakat institution, and the recipient. Conclusions: The study advises that Future research could focus on zakat distribution's asnaf characteristics. Next, a study on administration expenses and scalability concerns in zakat collection and distribution planning can avoid wasting cash. This topic hinders zakat institutions' distribution services.

Narrative review: the evidence for neurotoxicity of dental local anesthetics

  • Aps, Johan;Badr, Nelly
    • Journal of Dental Anesthesia and Pain Medicine
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    • 제20권2호
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    • pp.63-72
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    • 2020
  • Dental local anesthesia is performed daily on a global scale. Adverse effects are rare, but the topic of neurotoxicity of local anesthetics deserves to be explored, as publications can be controversial and confusing. Therefore, a need was felt to address and question the evidence for potential neurotoxicity of dental local anesthetics. This review aimed to assess the studies published on the neurotoxicity of dental local anesthetics. A Pubmed search was conducted between January 2019 and August 2019. This revealed 2802 hits on the topic of neurotoxicity or cytotoxicity of the following anesthetics: lidocaine, prilocaine, mepivacaine, articaine, ropivacaine, and bupivacaine. Only 23 papers were deemed eligible for this review: 17 in vitro studies, 3 reviews and 3 audits of national inquiries. The heterogeneous literature on this topic showed that all dental local anesthetics are potentially neurotoxic in a concentration and/or exposure time fashion. There seems no consensus about what cell lines are to be used to investigate the neurotoxicity of local anesthetics, which makes the comparison between studies difficult and ambiguous. However, the bottom line is that all dental local anesthetics have a neurotoxic potential, but that there is no unanimity in the publications about which local anesthetic is the least or the most neurotoxic.

The Application of the Sports Psychology for Business Leadership: Current Literature Analysis

  • Jae-Hyung LEE
    • 산경연구논집
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    • 제15권5호
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    • pp.39-46
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    • 2024
  • Purpose: This study seeks to address the following research questions: (1) What are the fundamental principles of sports psychology that can be applied to business leadership? (2) How can these principles enhance business leadership effectiveness? As a result, the study may evaluate the necessity and benefits of incorporating sports psychology principles into business leadership practices. Research design, data and methodology: The data collection process in this study involved a systematic Literature review approach, following the prior literature analysis guidelines by numerous past studies. This methodical approach to selecting articles can be useful in synthesizing existing literature and can be referred to as Literature review and selection. Results: The literature analysis has indicated that there is much support for assumptions underpinning business leadership modules, which can be enhanced by applying sports psychology. This topic discusses the traits of self-positivity and mental toughness, goal perspective and interpersonal relationships within a team, and visualization in a sporting organization that can be implemented in business management to support organizational performance. Conclusions: All in all, it can be concluded that organizations must consider adopting Sports Psychology principles into their Leadership Development Programs. Psychological skills development training that includes mental toughness, goal setting, team cohesion,

정보시스템연구의 연구경향에 대한 분석: 2001-2008 (An Analysis of Research Diversity in "The Journal of Information Systems": 2001-2008)

  • 류영태
    • 한국정보시스템학회지:정보시스템연구
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    • 제18권2호
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    • pp.35-59
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    • 2009
  • The study of Information Systems(IS) is a relatively new discipline area, thus an analysis of the latest research literature could be useful to identify what the researchers are doing and what can be done to improve our discipline. With that purpose in mind, this study analyzes the total 208 articles published in "The Journal of Information Systems~ between 2001 and 2008. The classification system that comprises three key characteristics of diversity (research topic, research method, and reference discipline) was developed based on a review of prior literature. The results of this study were also compared with Kim et al.(2005)'s and Vessey et al.(2002)'s results to identify issues in current Information Systems research and 10 suggest some recommendations for future In formation Systems research. The findings identify popular research topic:s, the dominant research method, and reference discipline. The popular research topics consists of organizational concepts, problem domain-specific concepts, and systems/software management concepts. Field study was characterized as the dominant research method in the papers included in the study. Information Systems itself represents the major theoretical reference of the studies. However, many papers in this study relied on a number of reference disciplines., none of which was dominant, or they did not rely on a specific reference discipline. Finally, this study suggests more research on the disciplinary issues, more training on the research method, more accurate and specific reference discipline, and controlled diversity.

토픽모델링을 이용한 국내 미세먼지 연구 분류 및 연구동향 분석 (A Study on the Research Topics and Trends in South Korea: Focusing on Particulate Matter)

  • 박혜민;김태용;권대웅;허준용;이주연;양민준
    • 대한원격탐사학회지
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    • 제38권5_3호
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    • pp.873-885
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    • 2022
  • 전 세계적으로 미세먼지(particulate matter, PM)와 사망률 및 유병률 증가의 관련성이 보고되면서 다양한 연구가 수행되었으며, 우리나라에서는 1990년대 후반을 기점으로 PM에 대한 중요성을 인식하고, PM에 대한 다양한 연구가 수행되었다. 본 연구에서는 '미세먼지' 관련 연구들의 주제를 분류하고, 각 주제별 연구 동향을 확인하기 위해 Research Information Sharing Service (RISS)에 게재된 미세먼지 관련 2,764편의 논문을 대상으로 Latent Dirichlet Allocate (LDA) 분석을 수행하였다. 연구 결과, 총 10개의 주제로 분류하는 것이 가장 적합하였으며, 미세먼지 관련 연구주제는 '미세먼지 저감(Topic 1)', '정부 정책 및 관리(Topic 2)', '미세먼지 특성(Topic 3)', '미세먼지 모델(Topic 4)', '환경교육(Topic 5)', '바이오(Topic 6)', '교통수단(Topic 7)', '황사(Topic 8)', '실내 미세먼지 오염(Topic 9)', '인체 위해성(Topic 10)'의 주제로 분류할 수 있었다. 특히, '정부 정책 및 관리(Topic 2)', '미세먼지 모델(Topic 4)', '환경교육(Topic 5)'. '바이오(Topic 6)' 관련 연구주제들이 시간에 따라 전체 논문에 대한 비율이 증가하는 추세를 보여 성행하는 것을 확인하였다(linear slope>0). 본 연구의 결과는 미세먼지 관련 다양한 분야의 연구자들에게 새로운 문헌 고찰의 방법론을 제시하고, 미세먼지 분야의 역사와 발전에 대한 이해를 제공했음에 의의가 있다.