Is Professional Commitment The Reason For Turnover Intentions of IT Professionals?

2019 ◽  
Vol 5 (1) ◽  
pp. 124
Author(s):  
Mohamed Buhari Mufitha ◽  
Su Teng Lee ◽  
Chen Chen Yong
Keyword(s):  
Job Satisfaction ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Equation Model ◽  
Professional Commitment ◽  
Turnover Rates ◽  
It Professionals ◽  
Professional Advancement ◽  
Software Engineers ◽  
Job Satisfactions

Compared to others, professionals share distinguish workplace characteristics: one such is the high commitment to the professions over to working organizations. Information Technology (IT) professionals demonstrate higher turnover rates compared to others: their commitments to the profession has been suspected as a source of turnover. Considering their job satisfactions the present study aimed to investigate the influence of professional commitment on IT professionals’ turnover intentions. Data were collected from a sample of software engineers from Sri Lank using a survey questionnaire. The results of the structural equation model analysis concluded that professional commitment weakens IT professionals’ turnover intentions, which is partially mediated by job satisfaction. Professional commitment stimulates IT professionals’ job satisfaction. The findings challenge the presumption that IT professionals leave their organizations due to high commitments to the profession. Few factors were identified as significant in their job satisfactions: supervision, co-workers and work design. Pay and promotions were the least influencing job satisfaction factors. Managers may employ few strategies in their retention strategies: facilitate professional advancement needs within organizations, closely monitor supervision activities occurs and provide challenging and meaningful jobs. The study contributes to the turnover literature through empirical evidence on the influence of professional commitment on knowledge workers’ turnover intentions.

scholarly journals The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE)

2020 ◽  
Vol 17 (2-3) ◽  
Author(s):  
Dagmar Waltemath ◽  
Martin Golebiewski ◽  
Michael L Blinov ◽  
Padraig Gleeson ◽  
Henning Hermjakob ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Data Model ◽  
Computational Models ◽  
Life Sciences ◽  
The Past ◽  
Challenges And Opportunities ◽  
Stakeholder Workshop ◽  
Software Engineers ◽  
Future Work ◽  
Modeling In Biology

AbstractThis paper presents a report on outcomes of the 10th Computational Modeling in Biology Network (COMBINE) meeting that was held in Heidelberg, Germany, in July of 2019. The annual event brings together researchers, biocurators and software engineers to present recent results and discuss future work in the area of standards for systems and synthetic biology. The COMBINE initiative coordinates the development of various community standards and formats for computational models in the life sciences. Over the past 10 years, COMBINE has brought together standard communities that have further developed and harmonized their standards for better interoperability of models and data. COMBINE 2019 was co-located with a stakeholder workshop of the European EU-STANDS4PM initiative that aims at harmonized data and model standardization for in silico models in the field of personalized medicine, as well as with the FAIRDOM PALs meeting to discuss findable, accessible, interoperable and reusable (FAIR) data sharing. This report briefly describes the work discussed in invited and contributed talks as well as during breakout sessions. It also highlights recent advancements in data, model, and annotation standardization efforts. Finally, this report concludes with some challenges and opportunities that this community will face during the next 10 years.

scholarly journals Comparison of blockchain platforms: a systematic review and healthcare examples

2019 ◽  
Vol 26 (5) ◽  
pp. 462-478 ◽  
Author(s):  
Tsung-Ting Kuo ◽  
Hugo Zavaleta Rojas ◽  
Lucila Ohno-Machado
Keyword(s):  
Systematic Review ◽  
Biomedical Research ◽  
Health Informatics ◽  
Clinical Informatics ◽  
Healthcare Applications ◽  
Software Engineers ◽  
Key Features ◽  
Technical Features ◽  
Meta Analyses ◽  
Selection Of

Abstract Objectives To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications. Target audience Healthcare or clinical informatics researchers and software engineers who would like to learn about the important technical features of different blockchain platforms to design and implement blockchain-based health informatics applications. Scope Covered topics include (1) a brief introduction to healthcare or biomedical blockchain applications and the benefits to adopt blockchain; (2) a description of key features of underlying blockchain platforms in healthcare applications; (3) development of a method for systematic review of technology, based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, to investigate blockchain platforms for healthcare and medicine applications; (4) a review of 21 healthcare-related technical features of 10 popular blockchain platforms; and (5) a discussion of findings and limitations of the review.

scholarly journals Collaborative Modeling of Group Learning Applications Using Eclipse Technology

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 21
Author(s):  
Yoel Arroyo ◽  
Ana I. Molina ◽  
Miguel A. Redondo ◽  
Jesús Gallardo ◽  
Carmen Lacave
Keyword(s):  
Development Process ◽  
Group Learning ◽  
Complex Task ◽  
Learning Collaborative ◽  
Interactive Applications ◽  
Model Driven ◽  
Collaborative Modeling ◽  
Innovative Model ◽  
Software Engineers ◽  
Computer Aided Software Engineering

The design and creation of groupware tools is a complex task that usually requires the participation of different stakeholders (software engineers, designers, etc.), either working at the same time or collaborating asynchronously. This paper describes an innovative model-driven development process to support the collaborative modeling of group learning applications, as well as the Computer Aided Software Engineering (CASE) tool that technologically supports it, the Learning Collaborative Interactive Applications Tool (Learn-CIAT) graphical editor. In its development, we applied technologies integrated within the Eclipse platform. The processes and tools described in this paper supply an important contribution to systematize the design and development of these kinds of applications.

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