Mert Onuralp Gökalp

E-mail

gmert@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0002-4812-7989

Scopus Author ID

57119769400

Web of Science Researcher ID

S-5826-2016

What Drives Success in Data Science Projects: A Taxonomy of Antecedents Gökay, Gonca Tokdemir; Nazlıel, Kerem; Şener, Umut; GÖKALP AYDIN, EBRU; Gökalp, Mert Onuralp; Gençal, Nergiz; Dağdaş, Gizemnur; Eren, Pekin Erhan (2023-01-01) Organizations have been trying to reshape their business processes and transform them into a smart environment to attain sustainable competitive advantage in their markets. Data science enables organizations to define inte...
A Comprehensive Big Data Framework for Energy Markets: Oil and Gas Demand Forecasting Bayar, Alp; Koç, Burcu; Gökalp, Mert Onuralp; Özden, Baran; Yeldan, Yiğit; Koçyiğit, Altan; Eren, Pekin Erhan (2022-12-29) Demand forecasting in the energy sector is essential for both countries and companies to plan their supply and demand. Agents in the highly volatile oil markets have to act fast and data-driven. In the literature, studies ...
A process assessment model for big data analytics Gökalp, Ebru; Gökalp, Mert Onuralp; Kayabay, Kerem; Gökalp, Selin; Koçyiğit, Altan; Eren, Pekin Erhan (2022-03-01) Big data analytics (BDA) grasp the potential of generating valuable insights and empowering businesses to support their strategic decision-making. However, although organizations are aware of BDAs’ potential opportunities,...
Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization Kayabay, Kerem; Gökalp, Mert Onuralp; Eren, Pekin Erhan; Koçyiğit, Altan (2022-01-01) Leveraging data science can enable businesses to exploit data for competitive advantage by generating valuable insights. However, many industries cannot effectively incorporate data science into their business processes, a...
The development of data analytics maturity assessment framework: DAMAF Gökalp, Mert Onuralp; Gökalp, Selin; Koçyiğit, Altan (2021-12-01) Today, data analytics plays a vital role in attaining competitive advantage, generating business value, and driving revenue streams for organizations. Thus, the organizations pay significant attention to improve their data...
The development of the data science capability maturity model: a survey-based research Gökalp, Mert Onuralp; Kayabay, Kerem; Koçyiğit, Altan; Eren, Pekin Erhan (2021-09-01) Purpose The purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science ...
Data-driven manufacturing: An assessment model for data science maturity Gökalp, Mert Onuralp; KAYABAY, KEREM; Koçyiğit, Altan; Eren, Pekin Erhan (2021-07-01) © 2021 The Society of Manufacturing EngineersToday, data science presents immense opportunities by turning raw data into manufacturing intelligence in data-driven manufacturing that aims to improve operational efficiency a...
Assessment of process capabilities in transition to a data-driven organisation: A multidisciplinary approach Gökalp, Mert Onuralp; Gökalp, Ebru; Koçyiğit, Altan; Eren, Pekin Erhan (2021-06-01) The ability to leverage data science can generate valuable insights and actions in organisations by enhancing data-driven decision-making to find optimal solutions based on complex business parameters and data. However, on...
Data Science Roadmapping: Towards an Architectural Framework KAYABAY, KEREM; Gökalp, Mert Onuralp; Gökalp, Ebru; Eren, Pekin Erhan; Koçyiğit, Altan (2020-11-24) The availability of big data and related technologies enables businesses to exploit data for competitive advantage. Still, many industries face obstacles while leveraging data science to overcome business problems. This pa...
Blockchain-Based Supply Chain Management: Understanding the Determinants of Adoption in the Context of Organizations Gökalp, Ebru; Gökalp, Mert Onuralp; Gökalp, Selin (Informa UK Limited, 2020-09-01) This study investigates the importance of the determinants affecting the adoption and usage of blockchain-based SCM systems in the context of organizations. Hence, an SLR method was followed to uncover critical determinant...

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