
Mesut OzdincÅbo Akademi University · School of Business and Economics
Mesut Ozdinc
PhD in Statistics
I hold a PhD in Statistics and continue pursuing a second PhD in Business Administration - Information Systems
About
9
Publications
4,662
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40
Citations
Citations since 2017
Introduction
Dr Mesut Özdinc holds a PhD in Statistics (2022), an MSc in Quantitative Finance (2006), MSc (1994) and BA (1991) in Economics. Also, I am a PhD candidate in Business Administration with the main subject of Information Systems at the Åbo Akademi University (Finland).
Additional affiliations
Education
August 2019 - January 2023
February 2016 - December 2022
Publications
Publications (9)
The current job market is characterized by turbulence and uncertainty, and employees seem to become highly sensitive to issues related to injustice. When employees perceive organizational injustice (i.e., distributive, procedural, interactional, and informational), they may seek social support. We suggest that employees, instead of approaching thei...
Co-creation, also referred to as prosumption, specifies the context where users play a central role not just as consumers but also as producers of a revenue-generating business. Among many others, Spotify, the widely popular online music streaming company, is one co-creation business example that facilitates user-made artistic goods as part of its...
As global cooperation to develop and launch CBDCs further expands, the upcoming revolutionary innovation presents an emerging research field. This paper aims to provide a framework of CBDC by stressing its differences from the other available digital currencies and cash in terms of advantages and disadvantages. Thus, the CBDC outlook, in its curren...
Objective:
The susceptible-infected-removed (SIR) model and its variants are widely used to predict the progress of coronavirus disease 2019 (COVID-19) worldwide, despite their rather simplistic nature. Nevertheless, robust estimation of the SIR model presents a significant challenge, particularly with limited and possibly noisy data in the initia...
The instantaneous R in Turkey is estimated by Bayesian statistical inference that utilizes a 68-days-long dataset from the beginning of the COVID-19 outbreak in Turkey for monitoring the progression of the pandemic. As it is also globally adapted, enforced social distancing measures help to keep the instantaneous reproduction number below one. The...
Lately, the Blue Whale Challenge, which is also known as the Blue Whale Game, received public attention via the countless news about teenagers all around the world harming themselves as they engage with the so-called game (Balhara, Bhargava, Pakhre, & Bhati, 2018; Sousa, Filho, Cavalcanti, Santos, & Neto, 2017). Though referred to as a game, it inv...
The SIR model is applied to a dataset of 43 days from the beginning of the COVID-19 pandemic in Turkey. Model outputs regarding the estimates of effective reproduction number and peak date of the maximum number of actively infected are presented. Favorable impact of social distancing measures are observed in comparing model outputs on progressive d...
Financial Institutions all around the world are recently discussing possibilities to launch national digital currencies to replace the cash as we know it since the Lydians invention. In this paper, we review the concept by visiting the core definitions and focus on the Scandinavian market to understand the example of Sweden and the ongoing e-Krona...
Football has recently developed into a unique sector with complex management and marketing functions, where novel communication technologies are employed. In this paper, we aim to contribute to the numerous fields involving emerging European sports marketing literature, social media analytics, and digital consumer behavior. Our purpose is to explor...
Projects
Projects (3)
Collaboration towards modeling COVID-19 spread despite the noisy data during the ongoing pandemic
Facilitating the introduction of CDBC for a better market, business, and consumer interactions by informing policy and decision makers
Here, we aim to understand social media use in relation to different social phenomena.