Dr Laleh Kasraian

Job: Senior Lecturer in Information Systems

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom

T: 0116 2078555

E: laleh.kasraian@dmu.ac.uk

W: http://dmu.ac.uk


Personal profile

Dr. Laleh Kasraian is a Senior Lecturer in Information Systems with the School of Computer Science and Informatics at De Montfort University in Leicester, UK.

She received her PhD in Business Information Systems (BIS) from University College Cork in Ireland for her work on the role of Core IS Capabilities throughout the IS/IT Service Co-Production lifecycle. She completed her M.Sc. in e-Commerce from Lulea University of Technology in Sweden and her B.Sc. is in Computer Software Engineering from Tehran Azad University, Iran. She has participated in Enterprise Ireland’s funded research studies which were mainly related to the deployment of the mixed methodologies in innovative service design and development. 

With over 20 years of industry experiences, she managed a number of IS/IT researches and projects within a range of multi-disciplinary areas, such as e-Banking, Energy Management Systems, Enterprise Resource Planning customisation/deployment, IT Strategy & Enterprise Architecture, Information Systems analysis projects in  public and private organisations.

Research group affiliations

Context, Intelligence and Interaction (CIIRG) 

Publications and outputs

Alhassan, I., Sammon, D., Daly, M., Wibisono, A., Kasraian, L., Nagle, T., Heavin, C., Dennehy, D., Zamani, E. and Qaffas, A., 2023. The Use of Open, Axial and Selective Coding Techniques: A Literature Analysis of IS Research.

Yagnik, T., Chen, F., and Kasraian, L. (2021). Component Profiling and Prediction Models for QoS-Aware Self-Adapting DSMS Framework. In: 2021 5th International Conference on Cloud and Big Data Computing (ICCBDC 2021), Liverpool United Kingdom, August 2021. New York: ACM.

Yagnik, T., Chen, F., and Kasraian, L. (2021). QoS-Aware Self-Adapting Resource Utilisation Framework for Distributed Stream Management Systems. In: The Seventh International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA 2021, Porto, April 2021. Portugal: IARIA XPS Press.

Dennehy, D., Kasraian, L., O’Raghallaigh, P., Conboy, K., Sammon, D. and Lynch, P., 2019. A Lean Start-up approach for developing minimum viable products in an established company. Journal of Decision Systems, pp.1-9.

Kasraian, L., Sammon, D. and Grace, A. (2016) “Understanding Core IS Capabilities throughout the IS/IT Service Co-Production Lifecycle”, DSS IFIP WG 8.3 Conference 2016, Cork, Ireland.

Dennehy, D., Kasraian, L., O’Raghallaigh, P. and Conboy K. (2016) “Product Market Fit Frameworks for Lean Product Development”, in proceedings of the R&D Management Conference. 3rd-6th July 2016, Cambridge, UK.

Kasraian, L., Sammon, D. and Grace, A. (2015) “The Role of Customer Knowledge in Service Co-production throughout the IS/IT Service Lifecycle”, European Conference on Knowledge Management, Academic Conferences International Limited, pp. 1005-1007.

Kasraian, L., Sammon, D. and Grace, A. (2014) “Collaborative Decision Making with the Customer: The Impact of IS Capabilities on Co-production of IS/IT Services”, DSS 2.0 IFIP Conference 2014, Paris, France.

Kasraian, L., Sammon, D. (2012) “Evaluation People, Process and Technology Trends from 1997 to 2011: 15 Years Review of IS Research Articles”, Poster Session Presented at 6th European Conference on Information Management and Evaluation (ECIME2012), Cork, Ireland.

Kasraian, L. and Faed, A. (2010), “Eagerness leverages on the breakthrough of E-Commerce in the Public Sector”, IEEE International Conference on e-Business Engineering (ICEBE 2010).

Kasraian, L. (2007), “The Impact of e-readiness on EC Success in Public Sector in Iran”, Tarbiat Modares University Journal, Tehran, Iran.

Kasraian, L. (1995), “Analysis & design in developing integrated software by using James Martin’s methodology (using Oracle7.0 case tools)”, Tehran Azad University – South Brach journal, Tehran, Iran.

Research interests/expertise

  • Service Innovation, Service Design Methodologies, IS/IT Service Co-Production
  • Smart/Emerging Technologies in Information Systems
  • Digital Transformation (i.e., Industry 4.0, Creative Industries/Manufacturing)
  • Business Analytics, System Analysis and Design, Data Visualisation/Modelling

Areas of teaching

IMAT5205 - Systems Analysis & Design (Course Leader)

IMAT5206 - Management of Information Systems (Course Leader)

IMAT3613- Data Mining (Teaching Assistant)

IMAT3614- Big Data and Business Models (Teaching Assistant)

CTEC2310- Data Management (Teaching Assistant)


Jan  2017 - PhD in Business Information Systems (BIS), University College Cork, Ireland 
Mar 2007- MSc in eCommerce & Marketing, Lulea University of Technology, Sweden
Aug 1996 - BSc in Computer Software Engineering, Iran

Courses taught

2013-2016 Data Analysis, Data Modelling and Database Management

2014-2016 Enterprise Systems and Enterprise Data Management (SAP ECC 5.0)

2014-2015 Business Intelligence (BI) and Organisational Performance

2012-2013 Application Modelling and Design

Membership of professional associations and societies

Fellow of the Higher Education Academy

Association of Information Systems

Academy of Management

Industrial Marketing & Purchasing Group

Project Management Institute (PMI)

Professional licences and certificates

-Certified in Teaching and Learning for Graduate Studies from University College Cork, Ireland

-IT Service Management foundation framework (ITIL) - Exin Institute Licensed, Utrecht, Netherlands

- Information Security Management System (ISO 27001:2005), Det Norske Veritas (DNV GL), Iran

- PMBOK Certified (Project Management Body of Knowledge – Fourth edition), Fanpardaz Education Institute, Iran

Current research students

Eduardo Manuel Silva Machado (2nd Supervisor), Smarter and Securer Augmented Reality for Assisted Living

Linqi Zhang (2nd Supervisor), The Predictive models in exploring customer churn behavior in Tourism Industry: From a Data Mining Perspective