scholarly journals Expert Finding Systems: A Systematic Review

2019 ◽  
Vol 9 (20) ◽  
pp. 4250 ◽  
Author(s):  
Omayma Husain ◽  
Naomie Salim ◽  
Rose Alinda Alias ◽  
Samah Abdelsalam ◽  
Alzubair Hassan

The data overload problem and the specific nature of the experts’ knowledge can hinder many users from finding experts with the expertise they required. There are several expert finding systems, which aim to solve the data overload problem and often recommend experts who can fulfil the users’ information needs. This study conducted a Systematic Literature Review on the state-of-the-art expert finding systems and expertise seeking studies published between 2010 and 2019. We used a systematic process to select ninety-six articles, consisting of 57 journals, 34 conference proceedings, three book chapters, and one thesis. This study analyses the domains of expert finding systems, expertise sources, methods, and datasets. It also discusses the differences between expertise retrieval and seeking. Moreover, it identifies the contextual factors that have been combined into expert finding systems. Finally, it identifies five gaps in expert finding systems for future research. This review indicated that ≈65% of expert finding systems are used in the academic domain. This review forms a basis for future expert finding systems research.

2018 ◽  
Vol 8 (5) ◽  
pp. 529-546
Author(s):  
Christofer Laurell ◽  
Sten Soderman

PurposeThe purpose of this paper is to provide a systematic review of articles on sport published in leading business studies journals within marketing, organisational studies and strategy.Design/methodology/approachBased on a review of 38 identified articles within the subfields of marketing, strategy and organisation studies published between 2000 and 2015, the articles’ topical, theoretical and methodological orientation within the studied subfields were analysed followed by a cross-subfield analysis.FindingsThe authors identify considerable differences in topical, theoretical and methodological orientation among the studied subfields’ associated articles. Overall, the authors also find that articles across all subfields tend to be focussed on contributing to mature theory, even though the subfield of marketing in particular exhibits contributions to nascent theory in contrast to organisation studies and strategy.Originality/valueThis paper contributes by illustrating the current state of research that is devoted or related to the phenomenon of sport within three subfields in business studies. Furthermore, the authors discuss the role played by leading business studies journalsvis-à-vissport sector-specific journals and offer avenues for future research.


2021 ◽  
Vol 17 (1) ◽  
pp. 97-122
Author(s):  
Mohamed Hassan Mohamed Ali ◽  
Said Fathalla ◽  
Mohamed Kholief ◽  
Yasser Fouad Hassan

Ontologies, as semantic knowledge representation, have a crucial role in various information systems. The main pitfall of manually building ontologies is effort and time-consuming. Ontology learning is a key solution. Learning Non-Taxonomic Relationships of Ontologies (LNTRO) is the process of automatic/semi-automatic extraction of all possible relationships between concepts in a specific domain, except the hierarchal relations. Most of the research works focused on the extraction of concepts and taxonomic relations in the ontology learning process. This article presents the results of a systematic review of the state-of-the-art approaches for LNTRO. Sixteen approaches have been described and qualitatively analyzed. The solutions they provide are discussed along with their respective positive and negative aspects. The goal is to provide researchers in this area a comprehensive understanding of the drawbacks of the existing work, thereby encouraging further improvement of the research work in this area. Furthermore, this article proposes a set of recommendations for future research.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 76541-76567 ◽  
Author(s):  
Muktar Yahuza ◽  
Mohd Yamani Idna Bin Idris ◽  
Ainuddin Wahid Bin Abdul Wahab ◽  
Anthony T. S. Ho ◽  
Suleman Khan ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Olalekan Lee Aiyegbusi ◽  
Karen Macpherson ◽  
Lauren Elston ◽  
Susan Myles ◽  
Jennifer Washington ◽  
...  

AbstractCell and gene therapies offer opportunities for treating disease with potential to restore function, and cure disease. However, they are not without risk and pose complex logistical, economic, ethical and social challenges for health systems. Here we report our systematic review of the current evidence on patient and public knowledge and perspectives of cell and gene therapies, to inform future research, education and awareness raising activities. We screened 10,735 titles and abstracts, and evaluated the full texts of 151 publications. The final selection was 35 publications. Four themes were generated from the narrative synthesis of the study findings namely: (1) Knowledge and understanding of cell and gene therapies, (2) Acceptance of cell and gene therapies (3) Understanding of risk and benefits of therapy, and (4) Information needs and current sources of information. As potential funders or future recipients, it is important that the public and patients are aware of these therapies, understand the issues involved, and can contribute to the debate. This review highlights the need for appropriate patient and public education on the various aspects of cell and gene therapies. High quality studies exploring patient and public opinions and experiences of cell and gene therapy are required. Patient and public perceptions of these therapies, alongside evidence of clinical and cost-effectiveness, will be central to their uptake and use.


2015 ◽  
Vol 23 (3) ◽  
pp. 246-285 ◽  
Author(s):  
Fredrik Karlsson ◽  
Joachim Åström ◽  
Martin Karlsson

Purpose – The aim of this paper is to survey existing information security culture research to scrutinise the kind of knowledge that has been developed and the way in which this knowledge has been brought about. Design/methodology/approach – Results are based on a literature review of information security culture research published between 2000 and 2013 (December). Findings – This paper can conclude that existing research has focused on a broad set of research topics, but with limited depth. It is striking that the effects of different information security cultures have not been part of that focus. Moreover, existing research has used a small repertoire of research methods, a repertoire that is more limited than in information systems research in general. Furthermore, an extensive part of the research is descriptive, philosophical or theoretical – lacking a structured use of empirical data – which means that it is quite immature. Research limitations/implications – Findings call for future research that: addresses the effects of different information security cultures; addresses the identified research topics with greater depth; focuses more on generating theories or testing theories to increase the maturity of this subfield of information security research; and uses a broader set of research methods. It would be particularly interesting to see future studies that use intervening or ethnographic approaches because, to date, these have been completely lacking in existing research. Practical implications – Findings show that existing research is, to a large extent, descriptive, philosophical or theoretical. Hence, it is difficult for practitioners to adopt these research results, such as frameworks for cultivating or assessment tools, which have not been empirically validated. Originality/value – Few state-of-the-art reviews have sought to assess the maturity of existing research on information security culture. Findings on types of research methods used in information security culture research extend beyond the existing knowledge base, which allows for a critical discussion about existing research in this sub-discipline of information security.


2021 ◽  
Vol 39 (4) ◽  
pp. 1-29
Author(s):  
Pengjie Ren ◽  
Zhumin Chen ◽  
Zhaochun Ren ◽  
Evangelos Kanoulas ◽  
Christof Monz ◽  
...  

In this article, we address the problem of answering complex information needs by conducting conversations with search engines , in the sense that users can express their queries in natural language and directly receive the information they need from a short system response in a conversational manner. Recently, there have been some attempts towards a similar goal, e.g., studies on Conversational Agent s (CAs) and Conversational Search (CS). However, they either do not address complex information needs in search scenarios or they are limited to the development of conceptual frameworks and/or laboratory-based user studies. We pursue two goals in this article: (1) the creation of a suitable dataset, the Search as a Conversation (SaaC) dataset, for the development of pipelines for conversations with search engines, and (2) the development of a state-of-the-art pipeline for conversations with search engines, Conversations with Search Engines (CaSE), using this dataset. SaaC is built based on a multi-turn conversational search dataset, where we further employ workers from a crowdsourcing platform to summarize each relevant passage into a short, conversational response. CaSE enhances the state-of-the-art by introducing a supporting token identification module and a prior-aware pointer generator, which enables us to generate more accurate responses. We carry out experiments to show that CaSE is able to outperform strong baselines. We also conduct extensive analyses on the SaaC dataset to show where there is room for further improvement beyond CaSE. Finally, we release the SaaC dataset and the code for CaSE and all models used for comparison to facilitate future research on this topic.


2015 ◽  
Vol 54 (1) ◽  
pp. 161-182 ◽  
Author(s):  
Rafael Matielo ◽  
Raquel Carolina Souza Ferraz D'Ely ◽  
Luciane Baretta

The disciplinary field of Second Language Acquisition (SLA) has witnessed an increasing interest in the investigation of the effects of subtitled and captioned audiovisual materials on domains of language learning/acquisition. In this context, this paper seeks to provide a systematic review of recent studies related to language learning aspects aided by the instructional/experimental use of subtitled and captioned materials. The present paper draws on relevant literature in the field of SLA that interfaces with subtitling/captioning, while outlining their goals and main findings. This paper also aims to unveil which dimensions have merited scholar attention the most in the last two decades. Finally, some considerations are made regarding possible avenues for future research, taking into account the existing literature and underinvestigated issues.


Languages ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Luke McCarthy ◽  
Imma Miralpeix

This state-of-the-art presents a systematic exploration on the use of network patterns in global research efforts to understand, organize and represent the mental lexicon. Results have shown an increase over recent years in the usage of complex, small-world and scale-free network patterns within the literature. With the increasing complexity of network patterns, we see more potential in the inter-disciplinary exploration of the mental lexicon through universal and mathematically-describable, behavioral patterns in small-world and scale-free networks. A systematic review of 36 items of methodologically-selected literature serve as a means to explore how the greater literary body understands network structures within the mental lexicon. Network-based approaches are discriminated between three contrasting varieties. These include: ‘simple networks’, characterized by arbitrarily organized graph patterns of metaphorical importance; ‘connectionist networks’, a broad category of networks which explore the structural features of a system through the analysis of emergent properties; and lastly ‘complex networks’, distinguished as small-world, scale-free networks which follow a strict and mathematically-describable structure in agreement with the Barabási–Albert model. Each network approach is explored in terms of their discernible differences which relate to their parameters and affect their implications. A final evaluation of observed patterns within the selected literature is offered, as well as an elaboration on the sense of trajectory beheld in the research in order to offer insight and orientation for future research.


2019 ◽  
Vol 27 (7) ◽  
pp. 2048-2076 ◽  
Author(s):  
Nelson Oliveira Stefanelli ◽  
Adriano Alves Teixeira ◽  
Jorge Henrique Caldeira De Oliveira ◽  
Marco Antonio Ferreira ◽  
Simone Sehnem

Purpose The purpose of this paper is to carry out a systematic review of the state of the art of the environmental training theme and to propose a research agenda to shed light on this subject by suggesting new research in the area. Design/methodology/approach This is a systematic review of the state of the art of the environmental training theme. Findings The authors’ main contribution is the proposal of a research agenda with 11 recommendations for future research, such as conducting research in developed countries; research focusing only on environmental training; qualitative research using case studies; research that explores the co-evolution of environmental training practices with environmental management practices and with the maturity stage of environmental management in organizations; and research that addresses all aspects of environmental training phases proposed by ISO 10015: 2001. Originality/value This is the most recent research which conducts a systematic review of the state of the art on environmental training and proposes a research agenda with several suggestions that can guide researchers in human resources, environmental management, sustainability and supply chain management.


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