scholarly journals Analyzing Sustainability Literature in Maritime Studies with Text Mining

2018 ◽  
Vol 10 (10) ◽  
pp. 3522 ◽  
Author(s):  
Sung-Ho Shin ◽  
Oh Kyoung Kwon ◽  
Xiao Ruan ◽  
Prem Chhetri ◽  
Paul Tae-Woo Lee ◽  
...  
Keyword(s):  
Text Mining ◽  
Conceptual Development ◽  
Latent Dirichlet Allocation ◽  
Focal Point ◽  
Intellectual Structure ◽  
Future Research ◽  
Maritime Logistics ◽  
Text Document ◽  
Sustainability Research ◽  
Maritime Studies

Since the world’s first Earth Summit in Rio de Janeiro in 1992, sustainability has become a focal point of significant debate for industry, government, and international organizations. As a result, research on sustainability of maritime logistics is on the rise, yet fragmented in terms of conceptual development, empirical testing and validation, and theory building. The aim of this paper is therefore two-fold: the first aim is to present a literature review of key journal articles in the field of maritime studies published between 1993 and 2017 using a technique of topic modelling; and the second is to provide future research directions with respect to major topics, themes and co-authorship patterns. Mapping and consolidation of sustainability issues are achieved by conducting a generative probabilistic text-mining technique, called latent Dirichlet allocation (LDA), for latent data discovery and relationships among text document data. Moreover, bibliometric analysis is conducted to visualize the landscape of sustainability research. Based on the results, a new intellectual structure of sustainability research is created, the underlying themes are identified, key trends and patterns are extracted and future research development trajectories are mapped for the field of maritime studies.

scholarly journals A New Method for Identifying Key and Common Themes Based on Text Mining: An Example in the Field of Urban Expansion

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yanwei Zhang ◽  
Xinhai Lu ◽  
Chaoran Lin ◽  
Feng Wu ◽  
Jinqiu Li
Keyword(s):  
Text Mining ◽  
Latent Dirichlet Allocation ◽  
Scientific Literature ◽  
Urban Expansion ◽  
Quadratic Function ◽  
Urban Land Use ◽  
Future Research ◽  
Evolutionary Analysis ◽  
Pagerank Algorithm ◽  
New Framework

Urban land use is a core area of multidisciplinary research that involves geography, land science, and urban planning. With the rapid progress of global urbanization, urban expansion has become a research focus in recent years. Therefore, how to scientifically and accurately identify key and common themes in the urban expansion literature has become crucial for scientific research institutions in various countries. This paper proposes a new framework for identifying such themes based on an analysis of scientific literature and by using text mining and thematic evolutionary analysis. First, the latent Dirichlet allocation algorithm is used to capture the thematic clustering of scientific literature. Second, the key degree of the thematic node in the thematic evolution transfer network is used to represent the key feature of a theme, and the PageRank algorithm is employed to measure the critical score of this theme. When recognizing common themes, the common features of various themes are digitized and mapped to a specially selected quadratic function to measure the degree of commonness. Finally, the hidden Markov model is used to build a thematic prediction model. This method can efficiently identify key and common themes from the literature and provide theoretical and technical support for future research in related fields.

Blockchain as supply chain technology: considering transparency and security

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pei Xu ◽  
Joonghee Lee ◽  
James R. Barth ◽  
Robert Glenn Richey
Keyword(s):  
Supply Chain ◽  
Text Mining ◽  
Information Security ◽  
Design Methodology ◽  
Use Cases ◽  
Future Research ◽  
Content Type ◽  
Blockchain Technology ◽  
Twitter Data ◽  
The Way

PurposeThis paper discusses how the features of blockchain technology impact supply chain transparency through the lens of the information security triad (confidentiality, integrity and availability). Ultimately, propositions are developed to encourage future research in supply chain applications of blockchain technology.Design/methodology/approachPropositions are developed based on a synthesis of the information security and supply chain transparency literature. Findings from text mining of Twitter data and a discussion of three major blockchain use cases support the development of the propositions.FindingsThe authors note that confidentiality limits supply chain transparency, which causes tension between transparency and security. Integrity and availability promote supply chain transparency. Blockchain features can preserve security and increase transparency at the same time, despite the tension between confidentiality and transparency.Research limitations/implicationsThe research was conducted at a time when most blockchain applications were still in pilot stages. The propositions developed should therefore be revisited as blockchain applications become more widely adopted and mature.Originality/valueThis study is among the first to examine the way blockchain technology eases the tension between supply chain transparency and security. Unlike other studies that have suggested only positive impacts of blockchain technology on transparency, this study demonstrates that blockchain features can influence transparency both positively and negatively.

Emerging trends in digital transformation: a bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal
Keyword(s):  
Bibliometric Analysis ◽  
Business Models ◽  
Digital Technologies ◽  
Citation Network ◽  
Digital Transformation ◽  
Intellectual Structure ◽  
Future Research ◽  
Strategic Decisions ◽  
Content Type ◽  
Research Areas

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

Business-IT Alignment Literature Review

2018 ◽  
Vol 31 (3) ◽  
pp. 34-53 ◽  
Author(s):  
Yu Jia ◽  
Nianxin Wang ◽  
Shilun Ge
Keyword(s):  
Citation Analysis ◽  
Knowledge Flows ◽  
Intellectual Structure ◽  
Future Research ◽  
Research Directions ◽  
It Alignment ◽  
Research Themes ◽  
Future Research Directions ◽  
Business It Alignment ◽  
New Perspective

The purpose of this article is to portray the knowledge evolution paths of business-IT alignment (BITA) research and identify a set of important papers in the development of BITA, and elucidate the intellectual structure of this field. This study collected 309 papers published during the period 1983-2015 from the Web of Science (WOS) database. Using a variety of bibliometric and visualization analytic techniques such as citation analysis, co-citation analysis and main path analysis, this article (1) delineates the significant knowledge flows of BITA research and identifies 15 important papers in this field; (2) graphically maps the influential countries, institutions, and journals of BITA research; (3) identifies four major research themes: BITA model, measurement, antecedents, and dynamics, and visualizing the relationships among them. Based on these findings, recommendations for the future research directions have suggested. This article provides IT practitioners, executives, and scholars with a new perspective to get a better understanding of BITA.

Challenging Respectability: Student Health Directors Providing Services to Lesbian and Gay Students at Historically Black Colleges and Universities

2018 ◽  
Vol 120 (2) ◽  
pp. 1-44
Author(s):  
Thai-Huy Nguyen ◽  
AndrÉs Castro Samayoa ◽  
Marybeth Gasman ◽  
Steve Mobley
Keyword(s):  
Focal Point ◽  
Research Question ◽  
Well Being ◽  
Gay And Lesbian ◽  
Future Research ◽  
Student Health ◽  
Extensive Discussion ◽  
Transgender Students ◽  
Private And Public ◽  
Bisexual And Transgender

Background Researchers have tended to favor scholarship that looks at institutional forms of support for gay, lesbian, bisexual, and transgender students in the context of resource centers specifically tailored to gay, lesbian, bisexual, and transgender students. Our study makes two distinct contributions to the study of gay and lesbian students of color: (1) We move away from resource centers as a focal point of support for students and attempt to explore the role of student health at 11 HBCUs; and (2) We draw attention to the ways in which health administrators challenge the influence of respectability to promote the delivery of healthcare that is attuned to the needs and experiences of sexual minorities, thereby providing evidence that pushes back against dominant narratives that reinforce HBCUs as homogenous communities of conservatism and homophobia. Research Question This study seeks to answer the following questions: (1) How do student health directors at HBCUs promote policies and practices that are attuned to the health of their gay and lesbian students? and (2) What conditions are developed to cultivate a student health center that not only addresses students’ physical health, but is also “in a position to reaffirm these students”? Participants Eleven student health directors at 4-year private and public HBCUs. Research Design The inquiry is situated within the tradition of narrative analyses. Semistructured interviews were conducted with our participants. Data Collection and Analysis We structured each interview around six broad open-ended questions that offered opportunities for us to tease out unique areas of tension during the interview and to “lead the respondent on a journey, to a frame of mind from which she will understand our ‘big’ questions.” These questions included perceptions of challenges and successes of campus inclusiveness for sexual minority students, clinical services, sensitivity training for staff, and the presence of same gender loving brochures and messaging. Findings Our data offers a narrative that illuminates the forces that shape the challenges and opportunities for student health directors (SHDs) to engender change within and outside student health centers and how that ultimately affects the provision of health services to gay and lesbian students. More importantly, it showcases how efforts are made to challenge the influence of respectability to ensure student health and well-being. The findings are organized under the following themes: (a) building trust, (b) partnerships, (c) resistance, and (d) envisioning next steps. Conclusions We provide an extensive discussion in how student health directors manage the challenges associated with dominant institutional ideologies, as well as critical implications for future research and practice.

Harnessing Mobile Technology for Student Assessment

2015 ◽  
pp. 479-489 ◽  
Author(s):  
Jeffrey R. Stowell ◽  
Jordan Tanner ◽  
Erin Tomasino
Keyword(s):  
Student Learning ◽  
Mobile Devices ◽  
Mobile Technology ◽  
Focal Point ◽  
Student Assessment ◽  
Embryonic Stage ◽  
Future Research ◽  
Technology In The Classroom ◽  
Privacy Concerns ◽  
Assessment Of Student Learning

This article provides an overview of using mobile technology in the classroom to enhance assessment of student learning. Although research on mobile devices in education is still in the embryonic stage, students generally have positive views about using their mobile devices for classroom polling and backchannel communication. However, there are also several challenges including the increased opportunity to be distracted when using mobile devices for other purposes, cost of the technology, and privacy concerns. The information presented will serve as a focal point for future research regarding the use of mobile technology in the classroom, and may help teachers to find new ways to reach their students.

The Intellectual Structure of Health and Medical Informatics

2012 ◽  
pp. 1-16
Author(s):  
Wullianallur Raghupathi ◽  
Sridhar Nerur
Keyword(s):  
Citation Analysis ◽  
Medical Informatics ◽  
Health Informatics ◽  
Clinical Decision Support Systems ◽  
Health Information Systems ◽  
Clinical Decision ◽  
Intellectual Structure ◽  
Future Research ◽  
Editorial Boards ◽  
Body Of Knowledge

This paper presents the results of an author co-citation analysis of the health and medical informatics discipline. It updates a smaller study that focused on health information systems. Drawing on such sub-fields as bio informatics, clinical decision support systems, computational genomics, e-health, health informatics, and others, this body of knowledge defines the core internal structure of the discipline and delineates its sub-fields. An author co-citation analysis was performed for a nine-year period using the members of editorial boards of several medical informatics-related journals as an initial author sample (N = 272). Several multivariate analyses, including cluster analysis, factor analysis and multidimensional scaling, were performed. The authors results confirm that several established sub-fields still stand but a number of new sub-fields are emerging. Future research can build on this work and examine other journals and additional authors to gain insights into the collaborative and interdisciplinary nature of the health and medical informatics discipline.

Thesaurus-Based Automatic Indexing

2011 ◽  
pp. 331-345
Author(s):  
Luis M. de Campos
Keyword(s):  
Text Mining ◽  
Real World ◽  
Future Research ◽  
Automatic Indexing ◽  
Distinguishing Features

In this chapter, we present a thesaurus application in the field of text mining and more specifically automatic indexing on the set of descriptors defined by a thesaurus. We begin by presenting various definitions and a mathematical thesaurus model, and also describe various examples of real world thesauri which are used in official institutions. We then explore the problem of thesaurus-based automatic indexing by describing its difficulties and distinguishing features and reviewing previous work in this area. Finally, we propose various lines of future research.

A Survey on Sentiment Analysis Techniques for Twitter

2022 ◽  
pp. 57-90
Author(s):  
Surabhi Verma ◽  
Ankit Kumar Jain
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Text Analysis ◽  
Analysis Techniques ◽  
Goods And Services ◽  
Text Document ◽  
The Subject ◽  
Over Time

People regularly use social media to express their opinions about a wide variety of topics, goods, and services which make it rich in text mining and sentiment analysis. Sentiment analysis is a form of text analysis determining polarity (positive, negative, or neutral) in text, document, paragraph, or clause. This chapter offers an overview of the subject by examining the proposed algorithms for sentiment analysis on Twitter and briefly explaining them. In addition, the authors also address fields related to monitoring sentiments over time, regional view of views, neutral tweet analysis, sarcasm detection, and various other tasks in this area that have drawn the researchers ' attention to this subject nearby. Within this chapter, all the services used are briefly summarized. The key contribution of this survey is the taxonomy based on the methods suggested and the debate on the theme's recent research developments and related fields.

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