scholarly journals Exploring Factors Influencing Knowledge Sharing Mechanisms and Technology to Support the Collaboration Ecosystem A Review

2021 ◽  
Vol 41 (03) ◽  
pp. 226-234
Author(s):  
Dana Indra Sensuse ◽  
Puri Indah Lestari ◽  
Shidiq Al Hakim
Keyword(s):  
Literature Review ◽  
Knowledge Sharing ◽  
Systematic Literature Review ◽  
Digital Library ◽  
Essential Role ◽  
Management Support ◽  
Face To Face ◽  
Factors Influencing

Knowledge sharing (KS) plays an essential role in enhancing performance and innovation within organisations, and many organisations implement various mechanisms and technology to support successful KS. It is therefore crucial for organisations to understand what factors might have an impact on the application of knowledge sharing for collaboration within their organisations. This study conducted a systematic literature review to investigate what mechanisms or technologies organisations use to share knowledge and what factors influence that usage. This systematic literature review used the Kitchenham method, selecting 19 articles as eligible for this study from a total of 853. The articles chosen were published between 2015 and 2020 and were retrieved from five popular databases: Science Direct, Scopus, IEEE, ACM Digital library, and Springer. The results of the conducted review found that trust, appreciation, management support, and organisational goals were factors that facilitated collaboration in KS. Among the mechanisms identified were the use of face-to-face meetings, employment of a chief knowledge officer, the implementation of technology to support KS, and collaboration on a webblog.

scholarly journals The Moderating Effects of Dynamic Capability on Radical Innovation and Incremental Innovation Teams in the Global Pharmaceutical Biotechnology Industry

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Heather Johnson
Keyword(s):  
Literature Review ◽  
Knowledge Sharing ◽  
Systematic Literature Review ◽  
Open Innovation ◽  
Radical Innovation ◽  
Biotechnology Industry ◽  
Dynamic Capability ◽  
Incremental Innovation ◽  
Moderating Effects ◽  
Pharmaceutical Biotechnology

The purpose of this paper is to conduct a quantitative, integrative and systematic literature review of the moderating effects of dynamic capability associated with radical innovation and incremental innovation teams in the global pharmaceutical biotechnology industry. This paper utilizes a conceptual framework of dynamic capability and socio-technical theory to underpin the study. The study includes 250 articles which were originally surveyed, and then a final selection of 66 articles was based on a structured coding system. The study outcome reveals that knowledge sharing strengthens existing professional knowledge and enhances internal work coordination and consistency in employees’ behavior, and effectively integrates diverse team knowledge and experience. Open innovation has a positive effect on radical innovation and enables knowledge acquisition to form a symbiotic relationship with knowledge sharing. Learning orientation has a stronger effect on incremental innovation than on radical innovation. The limitations of the study are related to a systematic literature review for this research does not establish causality. The mediating effects of dynamic capability on teams are not explored for this research. The implications for management are as follows, teams must be given the autonomy to make decisions from a technical perspective. Tacit knowledge, open innovation, knowledge acquisition and learning orientation are areas in which priority must be given during and after acquisitions in the pharmaceutical biotechnology industry.

scholarly journals Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review

JAMIA Open ◽  
2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Sayantan Kumar ◽  
Inez Oh ◽  
Suzanne Schindler ◽  
Albert M Lai ◽  
Philip R O Payne ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer Disease ◽  
Literature Review ◽  
Clinical Data ◽  
Systematic Literature Review ◽  
Digital Library ◽  
Model Risk ◽  
Computing Machinery ◽  
Data Tables ◽  
The Impact

Abstract Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We aimed to conduct a systematic literature review (SLR) of studies that applied machine learning (ML) methods to clinical data derived from electronic health records in order to model risk for progression of AD dementia. Materials and Methods We searched for articles published between January 1, 2010, and May 31, 2020, in PubMed, Scopus, ScienceDirect, IEEE Explore Digital Library, Association for Computing Machinery Digital Library, and arXiv. We used predefined criteria to select relevant articles and summarized them according to key components of ML analysis such as data characteristics, computational algorithms, and research focus. Results There has been a considerable rise over the past 5 years in the number of research papers using ML-based analysis for AD dementia modeling. We reviewed 64 relevant articles in our SLR. The results suggest that majority of existing research has focused on predicting progression of AD dementia using publicly available datasets containing both neuroimaging and clinical data (neurobehavioral status exam scores, patient demographics, neuroimaging data, and laboratory test values). Discussion Identifying individuals at risk for progression of AD dementia could potentially help to personalize disease management to plan future care. Clinical data consisting of both structured data tables and clinical notes can be effectively used in ML-based approaches to model risk for AD dementia progression. Data sharing and reproducibility of results can enhance the impact, adaptation, and generalizability of this research.

scholarly journals Impression Management and Career Related Outcomes: A Systematic Literature Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Esraa Al-Shatti ◽  
Marc Ohana
Keyword(s):  
Literature Review ◽  
Impression Management ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
Face To Face ◽  
Different Types ◽  
Recent Developments ◽  
The Face ◽  
Modes Of Interaction ◽  
Development Perspective

Despite the popularity of the term impression management (IM) in the literature, there is no consensus as how different types of IM (direct vs. indirect) and modes of interaction (face-to-face vs. online) promote career-related outcomes. While most empirical studies focus on direct IM, individuals engage in both types of IM and interaction modes, particularly indirect IM in the online context. Indeed, recent developments suggest that online interactions now prevail over face-to-face interactions, especially during the COVID-19 pandemic. Accordingly, this study presents the first systematic literature review that differentiates between types of IM (direct vs. indirect) and modes of interaction (face-to-face vs. online) in a career development perspective. The review shows that direct IM is more widely studied in the face-to-face than online interaction mode, while indirect IM is neglected in both interaction modes. This study thus provides evidence of the need to investigate and differentiate between the different types of IM and interaction modes for career-related outcomes, highlighting some research gaps and directions for future inquiry.

scholarly journals GAYA KEPEMIMPINAN TRANSFORMASIOAN

2019 ◽  
Author(s):  
zilviwahyana ◽  
hanif al kadri
Keyword(s):  
Transformational Leadership ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Employee Performance ◽  
Factors Influencing ◽  
New Information ◽  
And Performance ◽  
The Relationship ◽  
A Company

ABSTRAK This article aims to explain the notion of transformational leadership, factors influencing transformational leadership and the relationship between transformational leadership and performance. The methodology used in this article is Systematic Literature Review (SLR). Researchers look for relevant theories, conclude, analyze and researchers create new information based on existing theories. The results of this article are based on the analysis of researchers that there is a relationship between transformational leadership and employee performance in a company

The use of social media in US healthcare and its facilitators and barriers: Systematic literature review (Preprint)

2018 ◽  
Author(s):  
Shaneil Tanna ◽  
Susana Luengo Cubillo ◽  
Rosie Bhogal ◽  
Sonika Sethi ◽  
Nishma Gokani ◽  
...  
Keyword(s):  
Social Media ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Healthcare Setting ◽  
The United States ◽  
Face To Face ◽  
Perceptions And Attitudes ◽  
The Us ◽  
Facilitators And Barriers ◽  
Use Of Social Media

BACKGROUND With the advent of internet-based communications, face-to-face interactions are becoming increasingly uncommon and inconvenient, including those between the doctor and the patient. Social media (SM) has been recognized as a tool that could potentially help nourish and expand relationships in healthcare; however, much remains to be explored. OBJECTIVE A systematic literature Review (SLR) was conducted to explore the use of SM in the United States (US) healthcare setting, and the characteristics of its use, including barriers and facilitators. METHODS A SLR was conducted using three peer-reviewed databases; PubMed, MEDLINE and EMBASE. EBSCOhost database was included to gain a deeper understanding of companies’ use of SM and any lessons that can be learnt and applied to the healthcare setting. RESULTS Over the last decade there has been a rapid shift in the US towards the uptake of SM technologies, with many hospitals now using platforms such as Twitter and Facebook for communication, health promotion, education and research. SM can also present a competitive and financial advantage to increase a hospital’s reputation and reduce costs. However, despite its many proven or apparent uses, SM also brings with it many challenges, such as ethical considerations, need for clear guidelines and evaluation, perceptions and attitudes of patients and staff, and the possibility of mismatched offer versus patients’ needs. CONCLUSIONS The future of SM lies first of all in developing sound practices, and in its integration into the hospitals’ overall communication strategies, as well as expanding the number of uses and stakeholders involved.

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