Pekin Erhan Eren

E-mail

ereren@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0003-4354-3358

Scopus Author ID

6603471003

Web of Science Researcher ID

ABA-4438-2020

CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems Şener, Umut; GÖKALP AYDIN, EBRU; Eren, Pekin Erhan (2024-01-01) Organizations are increasingly migrating from on-premise enterprise information systems (EIS) to cloud products due to cloud computing benefits, such as flexibility, elasticity, and on-demand service. However, identifying ...
Determinative Factors of Cloud Computing Adoption in Government Organizations Koç, Burcu; Şener, Umut; Eren, Pekin Erhan (2022-12-29) Digital transformation in government organizations has led to the spread of e-government applications. Accordingly, government institutions face many challenges, such as the lack of highly skilled IT personnel and resource...
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-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...
Public Personnel Management Process Capability Assessment Gökalp, Ebru; Eren, Pekin Erhan (2020-03-01) Personnel management plays a critical role in the success of public organizations. Our literature review shows that there is a lack of systematic guidance on how to improve Public Personnel Management Process (PPMP) qualit...
Acceptance of Virtual Reality Games: A Multi-Theory Approach Kosa, Mehmet; Uysal, Ahmet; Eren, Pekin Erhan (2020-01-01) As virtual reality (VR) games are getting more widespread, the need to understand the interaction between players and the VR games is gaining prominence. The present study examines player endorsement of virtual reality gam...
A visual programming framework for distributed Internet of Things centric complex event processing Gökalp, Mert Onuralp; Koçyiğit, Altan; Eren, Pekin Erhan (2019-03-01) Complex Event Processing (CEP) is a promising approach for real-time processing of big data streams originating from Internet of Things (IoT) devices. Even though scalability and flexibility are key issues for IoT applicat...
A Taxonomy for Personal Processes: Results from a Semi-structured Interview Oruç, Sercan; Eren, Pekin Erhan; Koçyiğit, Altan; Yeralan, Sencer (2019-01-01) There are few studies conducted on personal processes within the Business Process Management (BPM) domain. Personal processes are looser and more context- and person-dependent compared to the clearly defined business proce...

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