Abbas Keramati

PhD

Abbas Kermati.

Abbas Keramati

PhD

Abbas Keramati

PhD

Associate Professor of Teaching
Department of Industrial and Systems Engineering
School of Engineering and Applied Sciences

Research Topics

Business analytics, information technology management, e-Adoption

Biography Publications Teaching Latest News

Selected/Recent Publications

  • Mehrabi, Hamed, Chen, Yongjian Ken and Keramati, Abbas, 2024 Developing customer analytics capability in firms of different ages: examining the complementarity of outside-in and inside-out resources. Industrial Marketing Management, 119, pp. 108-121. ISSN (print) 0019-8501
  • Dorna Jazebi Moghaddam & Zeinab Sazvar & Abbas Keramati, 2024. "Fuzzy DEMATEL-ANP-Based Approach for Determining the CRM Readiness Factors," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 825-883, March.
  • Mahdieh Dastjerdi, Abbas Keramati, 2023, An Integrated Framework for Investigating Organizational Adoption of AI-integrated CRM Systems in the Healthcare Sector; A Hybrid Fuzzy Decision-Making Approach, Telematics and Informatics Reports 11, 100078
  • Khalid Khan & Abbas Keramati, 2023. "A Framework for Smart Supply Chain Risk Assessment: An Empirical Study," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 16(1), pages 1-17, January.
  • AA Yazdani, A Keramati, O Turetken, Y Palanichamy, 2023, Evaluation of cloud computing risks using an integrated fuzzy-ANP and FMEA approaches, International Journal of Applied Decision Sciences 16 (2), 131-164
  • A Apornak, S Raissi, A Keramati, K Khalili-Damghani,2023, Modelling new service development using Kano, QFD and mathematical programming in an emergency department healthcare unit, International Journal of Process Management and Benchmarking 13 (1), 1-18
  • Reza Yazdanparast, Fariborz Jolai, Mir Saman Pishvaee & Abbas Keramati (2021) Second-generation biofuel development in Iran: current state and future directions, Energy Sources, Part B: Economics, Planning, and Policy, 16:3, 258-278, DOI: 10.1080/15567249.2020.1868620
  • Reza Yazdanparast, Fariborz Jolai, Mir Saman Pishvaee & Abbas Keramati (2021) A resilient drop-in biofuel supply chain integrated with existing petroleum infrastructure: Toward more sustainable transport fuel solutions, Renewable Energy, https://doi.org/10.1016/j.renene.2021.11.081
  • Vahid Khatibi, Abbas Keramati, Farid Shirazi, Assessment of the national higher education system with concentration on the third mission: A business intelligence-based approach. Social Sciences & Humanities Open, 2 (2020) 100056
  • Jafari-Marandi, R., Denton, J., Idris, A. et al. Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry. Neural Computing & Application (2020). https://doi.org/10.1007/s00521-020-04850-6 (Impact factor: 4.664)
  • Keramati, A., Ghaneei, H. and Mirmohammadi, S.M. (2020) ‘Investigating factors affecting customer churn in electronic banking and developing solutions for retention’, Int. J. Electronic Banking, Vol. 2, No. 3, pp.185–204.
  • Babazadeh, R., Pashapour, S. and Keramati, A. (2020) ‘Developing an integrated approach for optimum prediction and forecasting of renewable and non-renewable energy consumption in Iran’, Int. J. Energy Technology and Policy, Vol. 16, No. 2, pp.119–135.
  • Arash Apornak, Sadigh Raissi, Abbas Keramati & Kaveh Khalili-Damghani (2020): Optimizing human resource cost of an emergency hospital using multi-objective Bat algorithm, International Journal of Healthcare Management, DOI: 10.1080/20479700.2019.1707415
  • Fariborz Jolai, Parisa Hashemi, Jafar Heydari, Alireza Bakhshi, Abbas Keramati, (2020) Optimizing a Reverse Logistics System by Considering Quality of Returned Products, Advances in Industrial Engineering, Spring 2020, 54(2): 165-184 DOI: 10.22059/jieng.2021.323213.1762
  • Nahid Titkanloo, H., Keramati, A. & Fekri, R. Proposing a new model to aggregate ratings in multi-source feedback approach based on the evidence theory. Soft Computing (2019), https://doi.org/10.1007/s00500-019-04458-6 (Impact factor 2.784)
  • H Iranmanesh, I Behmanesh, A Keramati, The Effect of Service Innovation on E-government Performance: The Role of Stakeholders and Their Perceived Value of Innovation, International Journal of Information Systems and Social Change (IJISSC), 2019, 10 (1)
  • M. Davari, P. Noursalehi & A. Keramati (2019) Data mining approach to professional education market segmentation: a case study, Journal of Marketing for Higher Education, 29 (1), 54-66 DOI: 10.1080/08841241.2018.1545724 (rated B in ABDC journal quality list)
  • H Gharoun, A Keramati, MM Nasiri, A Azadeh. An integrated approach for aircraft turbofan engine fault detection based on data mining techniques. Expert Systems. 2019;36:e12370. https://doi.org/10.1111/exsy.12370 (Impact factor 0.43)
  • S. Pashapour; A.Azadeh; A. Bozorgi-Amiri; S. F. Ghaderi; A. Keramati, (2019) Performance optimization of organizations considering economic resilience factors under uncertainty: A case study of a petrochemical plant, Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2019.05.171 (Impact factor 6.395)
  • J. Danesh Zand, A. Keramati, F. Shakouri, H. Noori. (2018) Assessing the impact of customer knowledge management on organizational performance. Knowledge and Process Management, 25 (4) 268-278 https://doi.org/10.1002/kpm.1585 (rated B in ABDC journal quality list)
  • S. M. Mosavi, Mohamad S. S. & A. Keramati (2018) An integrative framework for customer switching behavior, Service Industries Journal, DOI: 10.1080/02642069.2018.1428955 (Impact factor: 1.149; rated B in ABDC journal quality list)
  • MR Namjoo, A Keramati, Quantifying the Resilience of Cloud-based Manufacturing Composite Services, International Journal of Cloud Applications and Computing (IJCAC), 2018, 8 (4)
  • H. Nahid Titkanloo, A. Keramati, R. Fekri, (2018) “Data aggregation in Multi-Source Assessment model based on Evidence Theory”, Applied Soft Computing, 69: 443-452 (Impact factor: 4.873)
  • M. R. Namjoo & A. Keramati (2018) Analyzing Causal dependencies of composite service resilience in cloud manufacturing using resource-based theory and DEMATEL method, International Journal of Computer Integrated Manufacturing, 31:10, 942-960, DOI: 10.1080/0951192X.2018.1493231 (Impact factor: 2.090, rated B in ABDC journal quality list)
  • A. Keramati, I. Behmanesh, H. Noori. (2018). Assessing the Impact of Readiness Factors on EGovernment Outcomes: An Empirical Investigation. Information Development, 34(3): 222-241, https://doi.org/10.1177/0266666916685603 (Impact factor: 1.265)