The potential of business intelligence tools for expert finding

Dadkhah, Mehdi; Lagziana, Mohammad; Rahim-niaa, Fariborz; Kimiafar, Khalil

doi:10.37380/jisib.v9i2.471

Cited by 4 publications

(6 citation statements)

References 60 publications

(34 reference statements)

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“…This search has identified potential IoT experts in the domain of health care in Iran. There are various studies which discuss how to analyze search results or find experts from academic databases (Beatty, 2015; Dadkhah et al , 2019; Harzing, 2007, 2010; Schuemie and Kors, 2008). The criteria for the inclusion of a potential expert as a participant in the current research are as follows (all three criteria needed to be met): having knowledge or experience about IoT; being familiar with the health-care context in Iran; and having knowledge or experience about the application of IoT for chronic disease management. …”

Section: Methodsmentioning

confidence: 99%

“…This search has identified potential IoT experts in the domain of health care in Iran. There are various studies which discuss how to analyze search results or find experts from academic databases (Beatty, 2015;Dadkhah et al, 2019;Harzing, 2007Harzing, , 2010Schuemie and Kors, 2008). The criteria for the inclusion of a potential expert as a participant in the current research are as follows (all three criteria needed to be met):…”

Section: Participants and Data Collectionmentioning

confidence: 99%

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Exploring the experts’ perceptions of barriers to using internet of things for chronic disease management in Iran

Dadkhah

Mehraeen

Rahimnia

et al. 2022

JSTPM

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Purpose Internet of things (IoT) promises advantages in different sectors, especially the health-care sector. Due to its capabilities for chronic disease management, IoT has attracted the attention of researchers. Nowadays, there is research that focuses on the use of IoT for chronic disease management. However, the use of IoT in various contexts faces different barriers. This paper aims to explore Iranian experts’ conceptions of the barriers to using IoT in Iran regarding its application for chronic disease management. Design/methodology/approach This study follows a phenomenographic method to investigate Iranian experts’ conceptions of the barriers to using IoT in Iran regarding its application for chronic disease management. Findings The results show that there are four categories of description (governance, technical, economic and social barriers) that vary among experts’ conceptions. Originality/value The findings of the present work could provide valuable insights for managers and policymakers who want to address IoT barriers.

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Section: Methodsmentioning

confidence: 99%

“…This search has identified potential IoT experts in the domain of health care in Iran. There are various studies which discuss how to analyze search results or find experts from academic databases (Beatty, 2015;Dadkhah et al, 2019;Harzing, 2007Harzing, , 2010Schuemie and Kors, 2008). The criteria for the inclusion of a potential expert as a participant in the current research are as follows (all three criteria needed to be met):…”

Section: Participants and Data Collectionmentioning

confidence: 99%

Exploring the experts’ perceptions of barriers to using internet of things for chronic disease management in Iran

Dadkhah

Mehraeen

Rahimnia

et al. 2022

JSTPM

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“…As per the information denoted in Table 3, organizations are faced with large datasets that cannot be used without BI as a motivator for competitive advantage [12]. For better decision-making, organizations use BI to build insights from their data.…”

Section: The Impact Of Business Intelligencementioning

confidence: 99%

Business Intelligence: Business Evolution after Industry 4.0

Romero

Ortíz²,

Khalaf

et al. 2021

Sustainability

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Industry 4.0 is a set of technologies that companies require to promote innovation strategies and obtain a rapid response in dynamic markets. It focuses mainly on interconnectivity, digital technology, predictive analytics and machine learning to revolutionize the way companies operate and develop. Therefore, this article proposes and motivates the implementation of Industry 4.0 in organizations. Studying the state of the art and reviewing the current situation of business intelligence (BI) technology, the way it has positively impacted organizations at the economic and business level in terms of decision-making and some success stories implemented in different business, academic, social and governmental environments. Moreover, it addresses the future expected for Industry 4.0 primarily in BI and how companies should face this revolution. This article provides knowledge contribution about the current state and positive consequences of Industry 4.0, and high development in technology when implemented in the organization and the harmonization between production and intelligent digital technology.

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“…The results of the proposed EAR method were compared with other methods like Indegree, Z-degree, Z-number, AnswerNum, ExpertiseRank, and SNPageRank in three different domains of internet, travel and music. Based on the results, the accuracy of the proposed method in finding the best respondent for each question was much better than other methods proposed by [2,[15][16][17][18][19]. In addition, the results of Spearman correlation indicated the correlation of 75.34% which was a better result than other methods.…”

Section: -Discussion and Conclusionmentioning

confidence: 75%

“…The study of Dadkhaha et al [16] used business intelligence tools to find potential experts as well as the analytic hierarchy process for assigning weights to both selection criteria and potential experts. The study of Zhang [17] has tested a set of network-based ranking algorithms including Indegree, AnswerNum, Z-Score, PageRank, and HITS.…”

Section: -Literature Review 2-1-expert Finding Systemsmentioning

confidence: 99%

Context-Based Expert Finding in Online Communities Using Ant Colony Algorithm

Sharifian¹,

Abdolvand²,

Harandi³

2020

jist

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Online communities are the most popular interactive environments on the Internet, which provide users with a platform to share their knowledge and expertise. The most important use of online communities in cyberspace is sharing knowledge. These communities are a great place to ask questions and find answers. The important challenges of these communities are the large volume of information and the lack of a method to determine their validity as well as expert finding which attracted a lot of attention in both industry and academia in. Therefore, identifying persons with relevant knowledge on a given topic and ranking them according to their expertise score can help to calculate the accuracy of the comments submitted on the internet. In this research, a model for finding experts and determining their domain expertise level by the aid of statistical calculations and the ant colony algorithm in the MetaFilter online community was presented. The WordNet Dictionary was used to determine the relevance of the user's questions with the intended domain. The proposed algorithm determines the level of people's expertise in the intended field by using the pheromone section of the Ant colony algorithm, which is based on the similarity of the questions sent by the users and the shared knowledge of the users from their interactions in the online community.

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The potential of business intelligence tools for expert finding

Cited by 4 publications

References 60 publications

Exploring the experts’ perceptions of barriers to using internet of things for chronic disease management in Iran

Exploring the experts’ perceptions of barriers to using internet of things for chronic disease management in Iran

Business Intelligence: Business Evolution after Industry 4.0

Context-Based Expert Finding in Online Communities Using Ant Colony Algorithm

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