Dr Mohamed Zaki

Published/Accepted  

• Zaki, Mohamed, McColl-Kennedy, Janet (2020),"Text Mining Analysis Roadmap (TMAR) for Service Research", Journal of Service Marketing, Forthcoming. 
• Zaki, Mohamed, (2019), "Digital Transformation: Harnessing Digital Technologies for the Next Generation of Services", Journal of Service Marketing, 33 (4),429-435.
• Zaki, Mohamed, Theodoulidis, Babis, Shapira, Philip, Neely, Andy, Tepel, Matthias (2019), “Redistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective”, Journal of Production Planning & Control, 30 (7), 568-581.   
• McColl-Kennedy, J. R., Zaki, M., Lemon, K. N., Urmetzer, F. & Neely, A. (2019). “Gaining customer experience insights that matter”, Journal of Service Research, 21(1), 8-26.
• Ruth N. Bolton, Janet R. McColl-Kennedy, Lilliemay Cheung, Andrew Gallan, Chiara Orsingher, Lars Witell, Mohamed Zaki, (2018) "Customer experience challenges: bringing together digital, physical and social realms", Journal of Service Management, 29 (5), 776-808.
• Timothy Keiningham , Joan Ball , Sabine Benoit (née Moeller) , Helen L. Bruce , Alexander Buoye , Julija Dzenkovska , Linda Nasr , Yi-Chun Oh , Mohamed Zaki , (2017) "The interplay of customer experience and commitment", Journal of Services Marketing, Vol. 31 Iss: 2.
• Zaki, Mohamed, Babis Theodoulidis, Philip Shapira, Andy Neely, and Efe Surekli (2017), “ScienceDirect The Role of Big Data to Facilitate Redistributed Manufacturing Using a Co-creation Lens: Patterns from Consumer Goods,” Procedia CIRP, 0, 680–85.
• Wyllie, Jessica, Benjamin Lucas, Jamie Carlson, Brent Kitchens, Ben Kozary, and Mohamed Zaki (2016), “An Examination of Not-For-Profit Stakeholder Networks for Relationship Management: A Small-Scale Analysis on Social Media,” PloSONE,11 (10), e0163914.
• Hartmann, Philipp Max, Mohamed Zaki, Niels Feldmann, and Andy Neely (2016), “Capturing Value from Big Data - A Taxonomy of Data-Driven Business Models Used by Start-Up Firms,” International Journal of Operations & Production Management, 36 (10), 1382-1406.
• Villarroel Ordenes, Francisco, Babis Theodoulidis, Jamie Burton, Thorsten Gruber, and Mohamed Zaki (2014), “Analyzing Customer Experience Feedback Using Text Mining: A Linguistics-Based Approach,” Journal of Service Research,17 (3), 278-295. The paper has been selected as one of four finalists for the Journal of Service Research Best Article Award for 2014. Also, it has been selected to be one of must-reads article of Marketing Science Institute (MSI) available at:http://www.msi.org/articles/must-read-journal-articles-from-2014/.
• Zaki, Mohamed, Theodoulidis, Babis, and David Díaz (2011). “Stock-touting” through spam e-mails: a data mining case study. Journal of Manufacturing Technology Management, 22(6), 770–787. Doi: 10.1108/17410381111149639.
• Duggimpudi, R., Abdou, H., and Mohamed Zaki (2010). An evaluation of equity diversified mutual funds: the case of the Indian market. Investment Management and Financial Innovations, 7(4), 77–84. 

Books, Book Chapters and Case Studies

• Satzger, G., Patricio, L., Zaki, M., Kühl, N., Hottum, P. (2018), Exploring Service Science, 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19–21, 2018, Proceedings
• Zaki, Mohamed and Andy Neely (2018 Forthcoming), "Customer Experience Analytics: Dynamic Customer-Centric Mode" in  Handbook of Service Science, Paul P. Maglio and Cheryl A. Kieliszewski and James C. Spohrer and Kelly Lyons and Yuriko Sawatani and Lia Patrício, eds., Vol. 2: Springer International Publishing AG
• Zaki, Mohamed, Theodoulidis, Babis, Diaz, David (2018 Forthcoming), “Ontology-Driven Framework for Stock Market Monitoring and Surveillance, Handbook of Global Financial Market: Transformations, Dependence, and Risk Spillovers, Sabri Boubaker and Duc Khuong Nguyen, World Scientific
• Christopher Turner, Ashutosh Tiwari1, Jose Luis Rivas Pizarroso1, Mariale Morenol, Doroteya Vladimirova , Mohamed Zaki , and Martin Geißdörfer (2017), Digital Redistributed Manufacturing (RdM) Studio: A Data-Driven Approach to Business Model Development, Sustainable Design and Manufacturing 2017, Smart Innovation, Systems and Technologies 68, Springer International Publishing
• David Diaz and Mohamed Zaki “Lo ‘Big’ y lo no tanto”, (2017), Dynamics of innovation made in LATAM “Dinámicas de la innovación made in LATAM”, Spanish Translation. 
• Zaki, Mohamed, Bøe-lillegraven, T., and Andy Neely (2016). A Transition Towards a Data-Driven Business Model (DDBM): A Case Study of Nettavisen Online Newspaper Publishing. SAGE Publishing. Doi: http://dx.doi.org/10.4135/9781473970113.

Conferences

• Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely (2019), Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions, Conference on Uncertainty in Artificial Intelligence (UAI)
• Pearce, Tim, Zaki, Mohamed, Neely, Andy (2018), “Bayesian Neural Network Ensembles”, Third workshop on Bayesian Deep Learning (NeurIPS 2018)
• Pearce, Tim, Anastassacos, Nicolas, Zaki, Mohamed, Neely, Andy (2018), Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning, inInternational Conference on Machine Learning (ICML).
• Khan, Abdul Rauf, Schioler Henrik, Zaki Mohamed, Kulhci Muat (2018). Rare-events Classification: An approach on Genetic Algorithm and Voronoi Tessellation, The 22ndpacific-Asia Conference on knowledge Discovery and Data Mining.
• Pearce, Tim, Mohamed Zaki, Alexandra Brintrup, and Andy Neely (2018), “High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach,” in International Conference on Machine Learning.
• Doroteya Vladimirova, Martin Geissdoerfer, Miying Yang, Mohamed Zaki, Christopher Turner, Ashutosh Tiwari (2017). A Conceptual Framework for Sustainable Re-distributed Manufacturing Business Models based on Data-driven Decision Making in British Academy of Management conference. Best development paper award https://www.bam.ac.uk/news-story/9451
• Zaki, M., Kandil, D., Neely, A. (2016). The Fallacy of the Net Promoter Score: An approach using big data for customer loyalty assessment and prediction. In Frontiers in Service Conference.
• McColl-Kennedy, J. R., Urmetzer, F., Zaki, M., & Neely, A. (2015). Unmasking details that matter in customer experience management using prescriptive analytics. In Frontiers in Service Conference.
• Zaki, M., Li, C., & Neely, A. (2015). A Taxonomy of Data-Driven Business Models Used By Service Firms: Knowledge Discovery Through Text Mining. In Frontiers in Service Conference.
• Zaki, M., & Neely, A. (2014). How data play a role in optimising service in complex service network. In Frontiers in Service Conference.
• Zaki, M., & Neely, A. (2014). Optimising Asset Management within Complex Service Networks: The Role of Data. In EurOMA conference(Vol. 2012, pp. 1–10).
• Zaki, M, Theodoulidis, B, (2014). “Analyzing Stock Market Fraud Cases Using a Linguistics-Based Text Mining Approach”. FEOSW 2014: 2nd International Workshop on Finance and Economics on the Semantic Web.
• Zaki, M., Diaz, D, and Theodoulidis, B., (2012). “Financial Market Service Architectures: A “Pump and Dump” Case Study,” In 2012 Annual SRII Global Conference.
• Villarroel, F., Burton, J., Zaki, M., Theodoulidis, B., and Gruber, T. (2012). “Analysing Customer Feedback on Resource Utilisation: A Case Study Review of Compliments and Complaints through Text Mining,” In Frontiers in Service Conference.
• Theodoulidis, B., Zaki, M., and Diaz, D. (2012). “Examining Higher Education as a Service System,” In Frontiers in Service Conference.
• Ordenes, F. V., Zaki, M., Theodoulidis, B., and Burton, J. (2012). “Service Modeling of Compliments and Complaints and Its Implications for Value Co- Creation,” In Applied Human Factors and Ergonomics, San Jose, California, U.S.
• Theodoulidis, B., Solís, D. D., and Zaki, M. (2011). “‘Carbon Footprint Innovation: A Higher Education Case Study’,” In EURAM2011, pp. 192. Available at http://euram2011.mindworks.ee/public/papers/paper/192.
• Diaz, D., Zaki, M., Theodoulidis, B., and Sampaio, P. (2011). “A Systematic Framework for the Analysis and Development of Financial Market Monitoring Systems,” In 2011 Annual SRII Global Conference IEEE, pp. 145-153 available at http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5958083.
• Theodoulidis, B., Diaz, D., and Zaki, M. (2011). “‘Carbon Footprint’ Innovation through Environmental Information Management,” In 2011 Annual SRII Global Conference IEEE, pp. 506-516 Available at http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5958127&tag=1
• Zaki, M., Theodoulidis, B., and Solis, D. D. (2010). “A Data Mining Approach for the Analysis of ‘Stock-Touting’ Spam Emails” In isd.ktu.lt, pp. 70-79.
• Zaki, M., and Diaz, D. (2010). “Using Text Mining to Analyze Quality Aspects of Unstructured Data : A Case Study for ‘ stock- touting ’ Spam Emails,” In Americas Conference on Information Systems (AMCIS),pp. 364 available at http://aisel.aisnet.org/amcis2010/364/.

Features and Industry White Papers

• Transform the Customer experience you offer with data analytics at the Manufacturer 2018, https://www.themanufacturer.com/articles/transform-your-customer-experience-thanks-to-data-analytics/
• ‘Customer satisfaction scores cover all manner of sins’ at the Marketing Week - https://www.marketingweek.com/2017/06/12/customer-satisfaction-scores/
• Zaki, Mohamed (2015). Is Big Data still big news, IfM Review, Vol 3, pp 13-16, available at http://www.cam.ac.uk/research/discussion/is-big-data-still-big-news. 
• “The Fallacy of the Net Promoter Score: Customer Loyalty Predictive Model”, 
• “Data-driven Text Mining for CX Analytics in Services”, SERVSIG Guest Article
• “Big Data Ecosystem in Re-Distributed Manufacturing (RdM) Past & Future”, available at RECODE Websit
• “The Internet of Animal Health Things - Opportunities and Challenges”, 
• “Data and Analytics - Data-Driven Business Models: A Blueprint for Innovation”
• “Data Disruption and New Business Models in the Education Sector”, blog is published at the Cambridge, University Press
• “The six burning questions for firms looking to make money from big data” co-authored with Andy Neely. The article published in the Telegraph Newspaper
• “The big picture on big data” article published at Wan-IFRA the world news publishing association
• “Understanding the potential of ‘big data’ for business” article published at Professional Engineering June 2015.

Videos, Podcasts and Webinars

• 8 May 2018- Manufacturing Analytics Webinar- Customer Experience Analytics 
• 10 January 2017- Cambridge Service Alliance Webinar- 'Customer Loyalty Predictive Model' 
• 29 January 2016- Career Talks- Video- Cambridge University Press Education department
• 29 January 2016- Career Talks- Video: Data disruption and new business models in the education sector, Cambridge University Press Education department
• 14 December 2015- Cambridge Service Alliance Webinar: A Transition Towards a Data Driven Business Model
• 11 November 2015 – RECODE Webinar: Redistributing the Future of Consumer Goods, RECODE Network, part of Disruptive Innovation Festival 2015
• 14 September 2015- Cambridge Service Alliance Webinar: The Internet of Animal Health Things – Opportunities and Challenges
• 11 August 2015- IfM Video- How Can Big Data Create Value? available at The IfM website
• 12 May 2015- Cambridge Service Alliance Webinar: Data-Driven Business Model: Innovation Blueprint 
• 09 April 2015- Cambridge Service Alliance Podcast-Data and Analytics - Data-Driven Business Models