Track Chair

Dr. Esra Kahya Özyirmidokuz, Erciyes University, Turkey

Introduction

With the developments in database technologies, techniques developed years ago such as natural language processing algorithms, neural networks, etc. are much more effective on a large amount of data today. Parallel to this, it is easier to visualize the studies conducted in the literature via information systems. Consequently, literature research requires informatics research. Literature research, which is the first step of the research, which provides the determination of the research gap, the discovery and visualization of the subject, and even the guidance for future research, gains importance day by day.

Findings that advance knowledge and address gaps in the information systems field is extremely important for further research. We welcome literature review studies that summarize the current state of understanding on a topic related with Management Information Systems which surveys and summarizes previously published studies, rather than reporting new facts or analysis to clarify the boundaries, show the relation and contribution to knowledge in comparison to the literature. Systematic literature reviews which gather all empirical evidence that fits pre-specified eligibility criteria in order to answer a specific research question and is designed to minimize biases and errors inherent to traditional, narrative review are also welcome.

Topics

  • Visualizing the gap
  • Themes in literatüre
  • Historical overview
  • Theoretical framework
  • Taxonomy and classification
  • Semi-systematic reviews
  • Systematic reviews and meta-analyses

Resume

Dr. Esra Kahya Özyirmidokuz receieved her BSc in Control and Computer Engineering Department from Erciyes University. She presented a fuzzy expert system in her master thesis, “A fuzzy expert system tool for selecting personnel requirements”, in Business Administration Department (MSc), Erciyes University. She implemented an online system in manufacturing in her phD thesis, “Modeling of manufacturing data via data mining” in Production and Management Department, Erciyes University, phD.  She worked in web text mining. As a visiting researcher at Bournemouth University, she conducted researches in the field of socio-technical systems and social informatics. She is currently giving courses at the Management Information Systems at Erciyes University Faculty of Economics and Administative Sciences. She conducts interdisciplinary research in the field of well-being analytics and digital well-being systems. She leads Erciyes University HappyCrowd Research Group.