The Impact of Artificial Intelligence and Information Technologies on the Efficiency of Knowledge Management at Modern Organizations: A Systematic Review

2020 ◽  
pp. 163-182
Author(s):  
Saeed Al Mansoori ◽  
Said A. Salloum ◽  
Khaled Shaalan
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Knowledge Management ◽  
Information Technologies ◽  
The Impact

The Impact of Artificial Intelligence on the Tourism Industry: A Systematic Review

2020 ◽  
pp. 458-469
Author(s):  
Arnaldo Borges Pinheiro ◽  
Agostinho Sousa Pinto ◽  
António Abreu ◽  
Eusébio Costa ◽  
Isabel Borges
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Tourism Industry ◽  
The Impact

scholarly journals The significance of the personality of knowledge: its contribution in creating and utilizing the system of knowledge in organization 

2012 ◽  
Vol 52 (No. 6) ◽  
pp. 289-300
Author(s):  
M. Polišenský
Keyword(s):  
Knowledge Management ◽  
Information Technologies ◽  
Social Process ◽  
Team Leaders ◽  
Power Politics ◽  
New Approach ◽  
Knowledge Codification ◽  
Social Actions ◽  
The Impact

How does an organization utilize knowledge for the reproduction of its culture in innovations, it was a key-point of the question for an approach based on the methodology of social process in the recent past. Then the formation of knowledge was considered a process of power politics with the consequences for knowledge management. In the framework of those projects, attempts were made in organizations to extract the knowledge from experts and specialized professionals that it might be codified and saved in extensive databases; only then the remainder of employees ought to have possibility to consult them and add the results of their own ideas to these databases. Poor success of such attempts only illustrates the methodological failure of utilizing information technologies for knowledge formation, its storage and transfer. Moreover, when a new fact was soon discovered even in the framework of the new approach, that there was an abyss-like difference between information (that information technologies operate with) and the knowledge, then the significance of personality increased again. The research that was done with the “champions of organizational learning” in the framework of knowledge management emphasized their import in catching the best experience, knowledge codification and its distribution in the organizations. Among other qualities, the knowledge is strongly personalized: it means it is connected with personal experience, attitudes, and evaluations. On the other hand, an advantage of new methodology was that the possible social actions, connected with the knowledge management, search for a strategy, and implementation were studied. These very changes in methodology have been a valuable contribution even for the research into the role of personality within this social process, however. They induce circumstances and means for studying the infrastructure of relationships that make possible the impact of individual authority in organization in general. In this paper, we also pay attention to this social process in teams as compared to collectives and how team-leaders emerge within them.

scholarly journals Leadership Styles and Organizational Knowledge Management Activities: A Systematic Review

2020 ◽  
Vol 22 (3) ◽  
pp. 250
Author(s):  
Nabeel Al Amiri ◽  
Rabiah Eladwiah Abdul Rahim ◽  
Gouher Ahmed
Keyword(s):  
Systematic Review ◽  
Knowledge Management ◽  
Leadership Styles ◽  
Quantitative Research ◽  
Critical Role ◽  
Organizational Knowledge ◽  
Business Organizations ◽  
Top Executives ◽  
The Impact ◽  
Positive Effect

Leaders play a critical role in the success or failure of their organizations. Leaders can be effective in implementing changes, building their organization's capabilities, and improving its performance, or the opposite, they could be ineffective. In this systematic review, the authors aim to summarize the findings of previous quantitative research, published between the period from 2000 to 2018, to identify the effect of various leadership styles on organizational Knowledge management (KM) capabilities and activities. The authors reviewed 50 articles found in well-known databases included Emerald, ScienceDirect, Taylor and Francis, Ebsco, Google Scholar, and others, concerning the impact of leadership when implementing KM in business organizations. The review revealed that transformational, transactional, knowledge-oriented leadership, top executives, and strategic leadership have evidence of their constant and positive effect on the KM process. The authors encourage organizations to use a combination of those styles to maximize the effect of leadership on KM. The authors also recommend conducting further studies on the effect of the remaining leadership styles, such as the ethical and servant leadership styles on KM and the other specific KM activities.  

scholarly journals Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis

2021 ◽  
Vol 09 (04) ◽  
pp. E513-E521
Author(s):  
Munish Ashat ◽  
Jagpal Singh Klair ◽  
Dhruv Singh ◽  
Arvind Rangarajan Murali ◽  
Rajesh Krishnamoorthi
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Meta Analysis ◽  
Screening Colonoscopy ◽  
Average Risk ◽  
Polyp Detection ◽  
Withdrawal Time ◽  
Detection Rates ◽  
Adenoma Detection ◽  
The Impact

Abstract Background and study aims With the advent of deep neural networks (DNN) learning, the field of artificial intelligence (AI) is rapidly evolving. Recent randomized controlled trials (RCT) have investigated the influence of integrating AI in colonoscopy and its impact on adenoma detection rates (ADRs) and polyp detection rates (PDRs). We performed a systematic review and meta-analysis to reliably assess if the impact is statistically significant enough to warrant the adoption of AI -assisted colonoscopy (AIAC) in clinical practice. Methods We conducted a comprehensive search of multiple electronic databases and conference proceedings to identify RCTs that compared outcomes between AIAC and conventional colonoscopy (CC). The primary outcome was ADR. The secondary outcomes were PDR and total withdrawal time (WT). Results Six RCTs (comparing AIAC vs CC) with 5058 individuals undergoing average-risk screening colonoscopy were included in the meta-analysis. ADR was significantly higher with AIAC compared to CC (33.7 % versus 22.9 %; odds ratio (OR) 1.76, 95 % confidence interval (CI) 1.55–2.00; I2 = 28 %). Similarly, PDR was significantly higher with AIAC (45.6 % versus 30.6 %; OR 1.90, 95 %CI, 1.68–2.15, I2 = 0 %). The overall WT was higher for AIAC compared to CC (mean difference [MD] 0.46 (0.00–0.92) minutes, I2 = 94 %). Conclusions There is an increase in adenoma and polyp detection with the utilization of AIAC.

scholarly journals Approaching Patient-Clinician Relationships Issues Involving Artificial Intelligence Using Ethics of Care and Nursing Ethics

2020 ◽  
Author(s):  
Soaad Q. Hossain
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Health Care ◽  
Ethics Of Care ◽  
Medical Professionals ◽  
Medical Procedures ◽  
Nursing Ethics ◽  
Medical Diagnoses ◽  
Key Players ◽  
The Impact

AbstractWith the rise of artificial intelligence (AI) and its application within industries, there is no doubt that someday AI will be one of the key players in medical diagnoses, assessments and treatments. With the involvement of AI in health care and medicine comes concerns pertaining to its application, more specifically its impact on both patients and medical professionals. To further expand on the discussion, using ethics of care, literature and a systematic review, we will address the impact of allowing AI to guide clinicians with medical procedures and decisions. We will then argue that the impact of allowing AI to guide clinicians with medical procedures and decisions can hinder patient-clinician relationships, concluding with a discussion on the future of patient care and how ethics of care can be used to investigate issues within AI in medicine.

scholarly journals Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Qian Zhou ◽  
Zhi-hang Chen ◽  
Yi-heng Cao ◽  
Sui Peng
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Randomized Controlled Trials ◽  
Model Development ◽  
Clinical Impact ◽  
Controlled Trials ◽  
Prediction Tools ◽  
Randomized Controlled ◽  
The Impact

AbstractThe evidence of the impact of traditional statistical (TS) and artificial intelligence (AI) tool interventions in clinical practice was limited. This study aimed to investigate the clinical impact and quality of randomized controlled trials (RCTs) involving interventions evaluating TS, machine learning (ML), and deep learning (DL) prediction tools. A systematic review on PubMed was conducted to identify RCTs involving TS/ML/DL tool interventions in the past decade. A total of 65 RCTs from 26,082 records were included. A majority of them had model development studies and generally good performance was achieved. The function of TS and ML tools in the RCTs mainly included assistive treatment decisions, assistive diagnosis, and risk stratification, but DL trials were only conducted for assistive diagnosis. Nearly two-fifths of the trial interventions showed no clinical benefit compared to standard care. Though DL and ML interventions achieved higher rates of positive results than TS in the RCTs, in trials with low risk of bias (17/65) the advantage of DL to TS was reduced while the advantage of ML to TS disappeared. The current applications of DL were not yet fully spread performed in medicine. It is predictable that DL will integrate more complex clinical problems than ML and TS tools in the future. Therefore, rigorous studies are required before the clinical application of these tools.

scholarly journals The Artificial Intelligence (AI)-Based Chatbot for Promoting Physical Activity and Healthy Diet: Protocol for a Systematic Review

2020 ◽  
Author(s):  
Yoo Jung Oh ◽  
Jingwen Zhang ◽  
Min-Lin Fang ◽  
Yoshimi Fukuoka
Keyword(s):  
Physical Activity ◽  
Artificial Intelligence ◽  
Systematic Review ◽  
Weight Management ◽  
Self Report ◽  
Bibliographic Databases ◽  
Qualitative Synthesis ◽  
Knowledge Gaps ◽  
The Impact ◽  
Management Behaviors

Abstract BackgroundWith the rise of artificial intelligence (AI) technologies in recent years, the rapidly expanding fields of AI-supported chatbot lifestyle interventions have offered new solutions to the global epidemic of physical inactivity and obesity. However, to the best of our knowledge no systematic review of chatbot-based lifestyle change intervention exists. The goals of this systematic review are to summarize the characteristics of chatbot interventions and to synthesize and evaluate uses of chatbots to improve physical activity, dietary, and weight management behaviors and to identify knowledge gaps and directions for future studies.MethodsIn collaboration with a medical librarian, six electronic bibliographic databases (PubMed, EMBASE, ACM Digital Library, Web of Science, PsycINFO, and IEEE) will be searched to identify all relevant studies. Main outcomes include changes in self-report and/or objectively measured physical activity, sedentary behavior, diet, and body weight. Additional outcomes include feasibility, acceptability, safety, and user satisfactions of chatbots. Two reviewers will independently screen the title and abstract, conduct a full-text screening to select the qualified studies, extract data from the included studies, and assess the risk of bias using Covidence software. Lastly, we will conduct a qualitative synthesis of the findings. However, if several randomized controlled trials that report similar outcome measurements are identified., quantitative synthesis will be provided.DiscussionTo the best of our knowledge, this is the first systematic review to synthesize and evaluate the existing research that assess the impact of AI chatbots on changing physical activity, dietary, and weight management behaviors. We anticipate our findings to advance knowledge by identifying the key characteristics of effective AI chatbot interventions and by highlighting knowledge gaps and limitations in the literature.Systematic review registrationInternational Prospective Register of Systematic Reviews (PROSPERO): CRD42020216761.

scholarly journals TO THE QUESTION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON MODERN EDUCATION

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
K.S ITINSON ◽  
◽  
V.M CHIRKOVA ◽  
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Information Technologies ◽  
Higher Education Institutions ◽  
Descriptive Analysis ◽  
Educational Process ◽  
Practical Significance ◽  
Modern Education ◽  
Artificial Intelligence In Education ◽  
The Impact

The article is devoted to the study of the influence of artificial intelligence on modern education, analysis of the prospects of artificial intelligence application in higher education institutions and problems arising as a result. The authors note that the future of higher education is inextricably linked to the development of information technologies and intellectual machines. The prospects of artificial intelligence open up new opportunities in teaching and learning in higher education institutions with powerful potential to change even the management system of educational institutions itself. The authors study the history of artificial intelligence since the 14th century, when Raimund Lullius proposed the idea of implementing reasoning and thought processes in an intellectual machine. The article uses methods of complex theoretical and descriptive analysis. The scientific novelty of the work is that the authors of the article have found that the effectiveness of use of artificial intelligence in education can be represented by the following functions: automation, integration, acclimation, distinction, identification. The authors argue that the increasing use of artificial intelligence in universities and schools also puts ethical questions at the forefront. Now organisations must consider what type of data is collected, how that information is used and what controls are in place to protect the privacy of students and schoolchildren. Practical significance of the work: in addition to functions reflecting the effectiveness of the use of artificial intelligence in the educational process, the authors have determined the positive aspects of the introduction of artificial intelligence in education. The results of the study: the authors of the article conclude that at present universities need to rethink their function and pedagogical models of education in relation to artificial intelligence, as higher education institutions open up extensive opportunities due to the application of artificial intelligence in the educational process.

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