scholarly journals Recommender System for Topic Articles Based on Forum Trending using Multilayer Perceptron

2020 ◽  
Vol 8 (6) ◽  
pp. 2478-2486
Keyword(s):  
Human Resources ◽  
Recommender System ◽  
Multilayer Perceptron ◽  
Topic Modeling ◽  
Family Health ◽  
Editorial Team ◽  
Limited Time ◽  
Discussion Forums ◽  
Perceptron Algorithm ◽  
Over Time

SehatQ is a portal and application that helps manage personal and family health. One of SehatQ's services is providing information and directories in the form of articles. To improve relations with web visitors, SehatQ also provides services in the form of discussion forums. The forum actually contains a variety of topics and changes very quickly over time, so to identify a topic from a collection of forums is very difficult and time-consuming if done manually by humans. But unfortunately the SehatQ editorial team has limited time and human resources in sorting out information sourced from the SehatQ forum to draw conclusions as a topic in the article. This research will offer a solution in analyzing Topic modeling using text mining with the Multilayer perceptron algorithm to provide trending information on the topics most frequently discussed at the forum at a certain time.

Assessment of the history and trends of “The Journal of Intellectual Capital”: a bibliometrics, altmetrics and text mining analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammadreza Esmaeili Givi ◽  
Mohammad Karim Saberi ◽  
Mojtaba Talafidaryani ◽  
Mahdi Abdolhamid ◽  
Rahim Nikandish ◽  
...  
Keyword(s):  
Text Mining ◽  
Bibliometric Analysis ◽  
Intellectual Capital ◽  
Topic Modeling ◽  
Editorial Team ◽  
International Studies ◽  
Content Type ◽  
Number Of Publications ◽  
Relative Prevalence ◽  
Increasing Trends

PurposeThe Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key trends in this journal during 2000–2019.Design/methodology/approachTwo types of citation and textual data during a 20-year journal period were retrieved from the Scopus database. The citation structures and contents were explored based on a combination of bibliometric analysis, altmetric analysis and text mining. The journal themes and trends of their changes were analyzed through citation bursts, mapping and topic modeling. To make a better comparison, the text mining process for the topic modeling of the IC field was performed in addition to the topic modeling of JIC.FindingsBibliometric analysis indicated that JIC has experienced a remarkable growth in terms of the number of publications and citations over the last 20 years. The results indicated that JIC plays a significant role among IC researchers. Additionally, a large number of researchers, institutes and countries have made contributions to this journal and cited its research papers. Altmetric analysis showed that JIC has been shared in different social media such as Twitter, Facebook, Wikipedia, Mendeley, Citeulike, news and blogs. Text mining abstract of JIC articles indicated that “measurement,” “financial performance” and “IC reporting” have the relative prevalence with increasing trends over the past 20 years. In addition, “research trends” and “national and international studies” had a stable trend with low thematic share.Research limitations/implicationsThe findings have important implications for the JIC editorial team in order to make informed decisions about the further development of JIC as well as for IC researchers and practitioners to make more valuable contributions to the journal.Originality/valueUsing bibliometric analysis, altmetric analysis and text mining, this study provided a systematic and comprehensive analysis of JIC. The simultaneous use of these methods provides an interesting, unique and suitable capacity to analyze the journals by considering their various aspects.

Post-Pandemic Restorative Talent Management Strategy for SME Development

2021 ◽  
pp. 80-96
Author(s):  
Neeta Baporikar
Keyword(s):  
Literature Review ◽  
Human Resources ◽  
Systematic Literature Review ◽  
Management Strategy ◽  
Talent Management ◽  
Economic Activities ◽  
Indian Economy ◽  
Proper Management ◽  
Exploratory Approach ◽  
Over Time

Indian economy post-COVID 19 pandemic may witness a massive reengineering of all its economic activities. Some will cherish the change, while others will perish over time. The post-pandemic scenario will have a drastic impact across industries and sectors regardless of their scale or size. The magnitude of impact on SMEs and entrepreneurship is unfathomable considering the prevailing intensity of the crisis. SMEs should come up with plausible innovation and talented human force to sustain in the market. The enterprises should develop and nourish ‘talent culture' and should focus on ‘talent', which remains the most neglected component in Indian SMEs until today. Hence, adopting an exploratory approach with a systematic literature review, the chapter focuses on positioning the importance of talent management and its components in the SME framework to manage the post-pandemic crisis. In the process, the chapter deliberates on the key strategies for rearing SMEs through proper management of critical talent and human resources.

Trying to Go Open

2017 ◽  
pp. 222-250
Author(s):  
Özgün Imre
Keyword(s):  
Knowledge Management ◽  
Open Source ◽  
Management System ◽  
Holistic Approach ◽  
Editorial Team ◽  
Academic Journal ◽  
Study Approach ◽  
Source Journal ◽  
Over Time

Theoretically, open source solutions are a good match with the resource scarce organization such as a young academic journal to make the publication process and the knowledge shared explicit to the participants in the system. This paper uses a case study approach to investigate how the decision to have such a system depends on a myriad of factors, and tracks how the editorial team decided to adopt an open source journal management system for their knowledge management issues. The study argues that these components should not be taken in isolation by showing how the previous decisions can become a hindrance as these components change over time. The results show that some factors, though initially thought to be unimportant, can become major forces as the journal matures, and a more holistic approach could help to side-step the problems faced.

Volunteers in Large Libre Software Projects

2007 ◽  
pp. 1-24 ◽  
Author(s):  
Martin Michlmayr ◽  
Gregorio Robles ◽  
Jesus M. Gonzalez-Barahona
Keyword(s):  
Human Resources ◽  
Open Source ◽  
Technical Skills ◽  
Voluntary Work ◽  
Software Projects ◽  
Free Open Source Software ◽  
Libre Software ◽  
Free Open Source ◽  
Over Time

Most libre (free, open source) software projects rely on the work of volunteers. Therefore, attracting people who contribute their time and technical skills is of paramount importance, both in technical and economic terms. This reliance on volunteers leads to some fundamental management challenges: Volunteer contributions are inherently difficult to predict, plan, and manage, especially in the case of large projects. In this chapter we present an analysis of the evolution over time of the human resources in large libre software projects, using the Debian project, one of the largest and most complex libre software projects based mainly in voluntary work, as a case study. We have performed a quantitative investigation of data corresponding to roughly seven years, studying how volunteer involvement has affected the software released by the project, and the developer community itself.

Task Allocation in Case-Based Recommender Systems

2011 ◽  
pp. 268-279 ◽  
Author(s):  
Fabiana Lorenzi ◽  
Daniela Scherer dos Santos ◽  
Denise de Oliveira ◽  
Ana L.C. Bazzan
Keyword(s):  
Swarm Intelligence ◽  
Recommender Systems ◽  
Recommender System ◽  
Task Allocation ◽  
User Preferences ◽  
Cooperative Agents ◽  
Over Time ◽  
Case Based

Case-based recommender systems can learn about user preferences over time and automatically suggest products that fit these preferences. In this chapter, we present such a system, called CASIS. In CASIS, we combined the use of swarm intelligence in the task allocation among cooperative agents applied to a case-based recommender system to help the user to plan a trip.

30 years of contemporary hospitality management

2019 ◽  
Vol 31 (7) ◽  
pp. 2641-2665 ◽  
Author(s):  
Faizan Ali ◽  
Eunhye (Olivia) Park ◽  
Junehee Kwon ◽  
Bongsug (Kevin) Chae
Keyword(s):  
Topic Modeling ◽  
Relative Weight ◽  
Hospitality Management ◽  
Academic Journal ◽  
Research Topics ◽  
Content Type ◽  
Before And After ◽  
Hospitality And Tourism ◽  
Published Research ◽  
Over Time

Purpose This paper aims to showcase the trends in the research topics and their contributors over a time period of 30 years in the International Journal of Contemporary Hospitality Management (IJCHM). To be specific, this paper uncovers IJCHM’s latent topics and hidden patterns in published research and highlights the differences across three decades and before and after Social Sciences Citation indexing. Design/methodology/approach In total, 1,573 documents published over 199 issues of IJCHM were analyzed using two computational tools, i.e. metaknowledge and structural topic modeling (STM), as the basis of the mixed method. STM was used to discover the evolution of topics over time. Moreover, bibliometrics (and network analysis) were used to highlight IJCHM’s top researchers, top-cited references, the geographical networks of the researchers and differences in the collaborative networks. Findings The number of papers published continually increased over time with changes of key researchers publishing in IJCHM. The co-authorship networks have also changed and revealed an increasing diversity of authorship and collaborations among authors in different countries. Moreover, the variety of topics and the relative weight of each topic have also changed. Research limitations/implications Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided. Originality/value It is the first attempt to apply topic modeling to a leading academic journal in hospitality and tourism and explore the diversity in contemporary hospitality management research (topics and contributors) from 30 years of published research.

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