Browsing by Author "Turhan, Cigdem"

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Citation - WoS: 11
Citation - Scopus: 22
A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining
(Ieee-inst Electrical Electronics Engineers inc, 2020) Guney, Sinem; Peker, Serhat; Turhan, Cigdem; Software Engineering
The purpose of this paper is to propose a combined data mining approach for analyzing and profiling customers in video on demand (VoD) services. The proposed approach integrates clustering and association rule mining. For customer segmentation, the LRFMP model is employed alongside the k-means and Apriori algorithms to generate association rules between the identified customer groups and content genres. The applicability of the proposed approach is demonstrated on real-world data obtained from an Internet protocol television (IPTV) operator. In this way, four main customer groups are identified: "high consuming-valuable subscribers", "less consuming subscribers","less consuming-loyal subscribers" and "disloyal subscribers". In detail, for each group of customers, a different marketing strategy or action is proposed, mainly campaigns, special-day promotions, discounted materials, offering favorite content, etc. Further, genres preferred by these customer segments are extracted using the Apriori algorithm. The results obtained from this case study also show that the proposed approach provides an efficient tool to form different customer segments with specific content rental characteristics, and to generate useful association rules for these distinct groups. The proposed combined approach in this research would be beneficial for IPTV service providers to implement effective CRM and customer-based marketing strategies.
Citation - WoS: 10
Citation - Scopus: 11
A Comprehensive Assessment Plan for Accreditation in Engineering Education: A Case Study in Turkey
(Tempus Publications, 2015) Turhan, Cigdem; Sengul, Gokhan; Koyuncu, Murat; Information Systems Engineering; Software Engineering; Computer Engineering; Information Systems Engineering; Software Engineering; Computer Engineering
This paper describes the procedure followed by Computer Engineering and Software Engineering programs at Atilim University, Ankara, Turkey, which led to the granting of five years of accreditation by MUDEK, the local accreditation body authorized by The European Network for Accreditation of Engineering Education (ENAEE) to award the EUR-ACElabel, and a full member signatory of Washington Accord of International Engineering Alliance (IEA). It explains the organizational structure established for preparation, determination and measurement of the educational objectives, program outcomes, course outcomes, and the continuous improvement cycle carried out during the preparation period. The aim of the paper is to share methods and experiences which may be beneficial for the other programs that are intended for accreditation.
Education With Experience: Assessment of a Co-Op Model in Undergraduate Engineering Programs in Computing
(Ieee Computer Soc, 2023) Nazlioglu, Selma; Turhan, Cigdem; Yazici, Ali; Software Engineering
A major concern among graduates of computing departments is the discrepancy between the expectations of software companies and the competencies provided by the academic departments. This ongoing problem makes co-op education inevitable, as it combines industrial experience with traditional education.
Citation - WoS: 7
Citation - Scopus: 9
Employability of It Graduates From the Industry's Perspective: a Case Study in Turkey
(Springer, 2013) Turhan, Cigdem; Akman, Ibrahim; Software Engineering; Computer Engineering
The qualifications that constitute the employability and identity of graduates are viewed differently by the academic community and the industry. Currently, it is observed for Information Technologies (IT) sector that the demands of the industry are not always satisfied by the perceived standards of the graduates. To provide feedback to the corresponding departments, a survey regarding employer expectations and factors affecting these expectations has been conducted among a number of senior professionals and managers working in the IT sector in Turkey regarding this inconsistency. The employer expectations are considered in two empirical categories as competencies and adequacies. The multiple regression analysis technique has been used to analyze the survey data. Based on the analysis, recommendations are provided to IT departments as well as their students to better fulfill the demands of the industry.
Citation - Scopus: 3
English to Turkish example-based Machine Translation with Synchronous SSTC
(Ieee Computer Soc, 2008) Alp, N. Deniz; Turhan, Cigdem; Software Engineering
Example Based Machine Translation (EBMT) is a corpus-based method which is based on using previously translated text. In this project, English to Turkish EBMT system has been developed which uses the Synchronous SSTC for the representation of the sentences in the parallel corpora. This method proves to be effective especially in structurally different languages such as English and Turkish.
Citation - WoS: 8
Citation - Scopus: 8
Exploring Sectoral Diversity in the Timing of Organizational Blockchain Adoption
(Emerald Group Publishing Ltd, 2022) Turhan, Cigdem; Akman, Ibrahim; Software Engineering; Computer Engineering
Purpose Blockchain is a relatively new technology. Although it has a high potential to influence organizational strategies for adoption into respective operations, it has not been widely explored yet. This study aims to assess the sectoral diversity in the timing of organizational adoption of blockchain through selected organizational factors. Design/methodology/approach A survey was conducted based on a sample of 208 IT professionals. The data was collected using an instrument containing 17 questions. The existence of sector diversity was statistically analyzed using the Least Square Regression method. Findings The results indicate that, except for management support and perceived ease of use, all the other factors in the analysis significantly influence sector diversity in terms of blockchain adoption timing. Originality/value Although blockchain has received attention from researchers, to the best of the authors' knowledge, there is no published work in the literature that explores the organizational factors influencing sectoral differences in the timing of blockchain technology adoption. Therefore, our work is unique in the related literature since we present analyses for the diversity between public and private sectors by modeling the factors affecting the intentions for the timing of blockchain adoption as part of the organizations' IT infrastructure.
Citation - WoS: 1
Citation - Scopus: 1
A Hybrid Approach for Semantic Image Annotation
(Ieee-inst Electrical Electronics Engineers inc, 2021) Sezen, Arda; Turhan, Cigdem; Sengul, Gokhan; Computer Engineering; Software Engineering
In this study, a framework that generates natural language descriptions of images within a controlled environment is proposed. Previous work on neural networks mostly focused on choosing the right labels and/or increasing the number of related labels to depict an image. However, creating a textual description of an image is a completely different phenomenon, structurally, syntactically, and semantically. The proposed semantic image annotation framework presents a novel combination of deep learning models and aligned annotation results derived from the instances of the ontology classes to generate sentential descriptions of images. Our hybrid approach benefits from the unique combination of deep learning and semantic web technologies. We detect objects from unlabeled sports images using a deep learning model based on a residual network and a feature pyramid network, with the focal loss technique to obtain predictions with high probability. The proposed framework not only produces probabilistically labeled images, but also the contextual results obtained from a knowledge base exploiting the relationship between the objects. The framework's object detection and prediction performances are tested with two datasets where the first one includes individual instances of images containing everyday scenes of common objects and the second custom dataset contains sports images collected from the web. Moreover, a sample image set is created to obtain annotation result data by applying all framework layers. Experimental results show that the framework is effective in this controlled environment and can be used with other applications via web services within the supported sports domain.
The Individual Readiness and Risk-Related Concerns of It Professionals for Blockchain Adoption
(Elsevier, 2025) Turhan, Cigdem; Akman, Ibrahim; Software Engineering; Computer Engineering
Blockchain has gained remarkable momentum since its introduction in 2008, drawing the attention of industries, individuals, and governments on a global scale. This technology has been studied in the literature, with a focus on technical aspects, application areas, and emerging research challenges. However, few studies address individuals' perceptions of and concerns with respect to blockchain adoption. This study aims to investigate the attributes affecting blockchain adoption intention. A sample of IT professionals was used for this purpose since they are expected to have earlier and greater awareness of new digital technologies. The perceptions of this group of users regarding attributes such as innovativeness, self-efficacy, social pressure, and awareness, as well as their perceptions of privacy, security, and complexity, were examined through a survey of 208 responses. The results indicate that among the individual attributes, personal innovativeness, awareness, and social pressure positively affect blockchain acceptance, whereas security and privacy concerns fuel the reluctance to adopt blockchain. The findings hopefully provide insight for developers and management of enterprises to ensure a smooth transition into blockchain and present evidence to forecast its future.
Citation - WoS: 1
Citation - Scopus: 1
Integration of Social Media Into Engineering Education: a Comparative Study on Perceptions of Faculty and Students
(Tempus Publications, 2018) Turhan, Cigdem; Akman, Ibrahim; Software Engineering; Computer Engineering; Software Engineering; Computer Engineering
For a number of years, the effects of incorporating social media into education systems has invoked the interest of researchers, academicians and students. Yet, the enthusiasm of students in utilizing social media for learning is met with reluctance on the faculty's part in abandoning the traditional ways of teaching. This study compares the students' and faculty's acceptance of the utilization of social media in engineering education from different perspectives. A survey approach has been used for this purpose and 57 faculty and 85 students from the engineering faculties participated in the study. The research model used was tested using the least square regression technique. The results show existence of significant diversity between the faculty and students in the factors affecting the ethical usage. Concerning the general usage, this diversity exists in only the awareness. These results are expected to provide insight into the issues that act as barriers towards a more open, collaborative and learner-centered higher education platform.
Citation - WoS: 9
Citation - Scopus: 14
Investigation of Employers' Performance Expectations for New It Graduates in Individual and Team Work Settings for Software Development
(Emerald Group Publishing Ltd, 2018) Akman, Ibrahim; Turhan, Cigdem; Software Engineering; Computer Engineering
Purpose - In general, software development work environments involve many different tasks and have high demands on efficiency and quality of performance at both individual and team levels, which depend on the competencies of employees. However, the literature does not provide satisfactory evidence as for the characteristics and competencies of individuals. Especially, the employers' expectations of new graduates have not been investigated in detail for different work environments. The purpose of this paper is to examine employers' expectancies regarding technical, personal and educational competencies among IT-graduated employees to provide a comparison between individual and team work settings. Design/methodology/approach - A survey approach was used for this purpose, and the research model was tested using multiple regression. Findings - The results revealed that significant diversity exists in individual and team work settings regarding employers' expectations for new graduates' competencies in terms of adapting to new software development methods and approaches, using time effectively and experience gained in undergraduate projects. Originality/value - The results of this study will yield insight to computer-related departments in curriculum development by providing a comparison between the varying competencies required in individual and team work settings from the employer's perspective. In the long run, the aim is to meet employers' demands of the new graduates' competencies, resulting in better individual and team performances in information technology companies, thereby leading to successful software development.
Citation - WoS: 6
Citation - Scopus: 8
Male and Female Differences in the Use of Social Media for Learning Purposes
(Routledge Journals, Taylor & Francis Ltd, 2018) Akman, Ibrahim; Turhan, Cigdem; Software Engineering; Computer Engineering
This study aims to explore the differences between male and female users' behaviour with regard to acceptance of social media for learning in higher educational institutions. For this purpose, a survey was conducted and the least square regression analysis approach was utilised to investigate the relationships among the constructs in the research model for male and female users from a general and ethical perspective, focusing on the reliability, performance and awareness factors. The findings from the analysis reveal that a significant degree of diversity is present in the factors represented by general reliability', ethical reliability', ethical performance', ethical awareness' and ethical intention'.
Citation - WoS: 15
Mobile Technology Applications in the Healthcare Industry for Disease Management and Wellness
(Elsevier Science Bv, 2015) Kalem, Guler; Turhan, Cigdem; Software Engineering
Technology is an unavoidable fact of today's life. Attractive advantages of wireless technology accelerated the rapid development of mobile applications. With the increase of the usage of mobile devices in the recent years, new solutions come to mind including mobile technologies to fulfill requirements or suggest better solutions in the vast area of medical informatics to the existing ones. Augmentation in the area of wireless technology positively affects the medical applications. In the healthcare industry, mobile applications provide better personalized health care, disease management and services to patients and their relatives, as well as a better and flexible way of communicating with physicians, patients and medical suppliers. It is obvious that the applications using mobile technologies has the potential to bring better conditions both for the patients for their disease management and for the humanity for checking their self wellness. In this paper, the current mobile technology utilized in healthcare such as relapse prevention in schizophrenia, aged people's care and wellness, diagnosis and management of attention-deficit etc. is reviewed in detail outlining the current mobile technologies and wireless revolution of today and examining some of the outstanding applications using these technologies in the clinical area. The results of this study can provide clues to researchers to further the mobile technology in healthcare. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Citation - WoS: 2
Citation - Scopus: 3
Online Collaborative Tool Usage for Review Meetings in Software Engineering Courses
(Routledge Journals, Taylor & Francis Ltd, 2022) Turhan, Cigdem; Akman, Ibrahim; Hacaloglu, Tuna; Information Systems Engineering; Software Engineering; Computer Engineering
The instructors generally utilize conventional methods in teaching software engineering courses, where the students are provided theoretical knowledge based on text books or lecture notes. Usage of collaborative tools may be a solution to the problems of not practicing the depth of the components of the subject. This study proposes the usage of a collaborative tool, namely, Google Docs in a software engineering course based on predefined scenarios. The review meeting subject was selected for this purpose and students' reactions were assessed with a survey after the completion of the experiments. The survey data were analysed using least square regression method. The results have shown that efficiency, certainty, satisfaction, advantage, complexity, learnability, and intention are indicators of the adoption of the online collaborative tool.
Citation - WoS: 3
Citation - Scopus: 3
Online Learning Perceptions Amid Covid-19 Pandemic: the Engineering Undergraduates' Perspective
(Tempus Publications, 2022) Eryilmaz, Meltem; Kalem, Guler; Kilic, Hurevren; Tirkes, Guzin; Topalli, Damla; Turhan, Cigdem; Yazici, Ali; Information Systems Engineering; Computer Engineering; Software Engineering; Information Systems Engineering; Computer Engineering; Software Engineering
The COVID-19 pandemic caused face-to-face education in just about all universities worldwide to shift to online education. For most students, this educational model was a compulsory first experience. In this study, the survey results are analyzed and discussed related to a group of students in the Engineering Faculty of a university in Turkey regarding their online education perceptions. Briefly summarized, the findings of the study indicate that: (a) most of the students still prefer face-to-face learning, which is also favored if accompanied by distance learning; (b) the concentration level of the students has dropped due to the concerns about the COVID-19 pandemic which affects their learning negatively; and (c) around half of the students participating in the study feel that the online exams conducted without a secure exam software, is considered unsafe. Additionally, the study's results were further extended to evaluate the questionnaire results and reported along with the suggestions of necessary actions in emergency online learning (EOL).
Citation - WoS: 3
Citation - Scopus: 3
Sector Diversity among IT Professionals in the Timing of Blockchain Adoption: an Attitudinal Perspective
(Kaunas Univ Technol, 2022) Akman, Ibrahim; Turhan, Cigdem; Software Engineering; Computer Engineering
Blockchain technology has the potential to reshape the conventional ways of processes and transactions on digital platforms. Much of the attention surrounding blockchain is mainly focused on the technical and organizational aspects. Comparatively, little effort has been targeted towards understanding the attitudinal issues in blockchain adoption. This study aims to explore the role of attitudinal forms behind the intended timing of IT professionals' blockchain adoption, with an emphasis on the differences between the public and private sectors. A survey method was used where the data was collected from 208 IT professionals from public and private sector establishments in order to investigate how the different attitudes of the participants as well as the differences in their work sectors affect their intention to adopt blockchain. The data collected was analysed with ordinal logistic regression and the results indicate that the participants' affective, normative and pessimistic attitudes have a significant effect on the timing of blockchain adoption, and that these effects show differences among the IT professionals from the public and private sector. The findings are believed to provide valuable information to researchers and strategists in forecasting the future evolution of the blockchain technology in terms of individual utilization. The results also will provide feedback to managers of different sectors in making decisions regarding blockchain adoption, developers of blockchain services, as well as individuals who are interested in using blockchain.
Citation - WoS: 26
Citation - Scopus: 41
User Acceptance of Social Learning Systems in Higher Education: an Application of the Extended Technology Acceptance Model
(Routledge Journals, Taylor & Francis Ltd, 2017) Akman, Ibrahim; Turhan, Cigdem; Software Engineering; Computer Engineering
This study aims to explore the users' behaviour and acceptance of social media for learning in higher educational institutions with the help of the extended Technology Acceptance Model (TAM). TAM has been extended to investigate how ethical and security awareness of users affect the actual usage of social learning applications. For this purpose, a survey was conducted and the Structural Equation Model approach was utilised to investigate the direct and indirect causal relationships among the constructs in the research model. Interestingly, the findings from the analysis reveal that, except ease of use', TAM's core and external constructs are significant predictors of actual behaviour towards using social media for learning.
Citation - WoS: 3
Citation - Scopus: 6
VISUAL AND TEXTUAL FEATURE FUSION FOR AUTOMATIC CUSTOMS TARIFF CLASSIFICATION
(Ieee, 2015) Turhan, Bilgehan; Akar, Gozde B.; Turhan, Cigdem; Yuksel, Cihan; Software Engineering
The Harmonized Tariff Schedule for the classification of goods is a major determinant of customs duties and taxes. The basic HS Code is 6 digits long but can be extended according to the needs of the countries such as application of custom duties based on details of the product. Finding the correct, consistent, legally defensible HS Code is at the heart of Import Compliance. However finding the best code can be complicated, especially in the case of specialized products. In this paper, we propose an automatic HS code detection system based on visual properties of the product together with textual analysis of its labels/explanations. The proposed system first uses morphological parsing in order to extract roots of the words occurring in the textual phrases. Processed text information is further processed by the topic modeling module of the system to find the best matching HS Code definitions within the system. The result of the topic modeling is used to trigger visual search based on quantized local features. The proposed algorithm is evaluated using a database of 4494 Binding Tariffs published in 2014 by the European Union. The results show that accuracy rate above 80 % can be achieved for 4-digit HS Codes.