Profile image of Ali Tamaddoni Jahromi

A/Prof. Ali Tamaddoni Jahromi

STAFF PROFILE

Position

Associate Professor

Faculty

Faculty of Business and Law

Department

Deakin Business School

Campus

Melbourne Burwood Campus

Qualifications

Graduate Certificate of Higher Ed. Learning & Teaching, Deakin University, 2017
Doctor of Philosophy, Monash University, 2014

Contact

ali.tamaddoni@deakin.edu.au
+61 3 924 46196

Biography

Ali Tamaddoni is an Associate Professor in the Department of Marketing, Deakin Business School. His research interests include churn management, customer analytics and User-Generated Content (UGC). Ali's work has been published in the Journal of Marketing ResearchJournal of Service Research, and Decision Support Systems, among others. 

Read more on Ali's profile

Research interests

  • Customer Analytics
  • Customer Churn Modeling

Affiliations

  • Member, Australian Computer Society.

Teaching interests

  • Marketing Analytics 
  • Customer Analytics

Units taught

  • MIS784 - Marketing Analytics
  • MIS384 - Marketing Analytics
  • MIS771 - Descriptive Analytics and Visualization
  • MIS793 - Business Analytics Project

Conferences

  • Stakhovych, S. and Tamaddoni, A., 'Effects of Customer Credits as Service Failure Recovery Solution on Customer Churn and Purchases', INFORMS Marketing Science Conference, USA, 7-10 June 2017. 
  • Stakhovych, S., Tamaddoni Jahromi, A., and Ewing, M., 'Towards More Accurate and Profitable Customer Churn Prediction', INFORMS Marketing Science Conference, USA, 18-20 June 2015.
  • Tamaddoni Jahromi, A., Stakhovych, S. and Ewing, M., 'Predicting customer churn: Old techniques are still alive', American Marketing Association, Summer Marketing Educators’ Conference, USA, 9-11 August 2013.
  • Tamaddoni Jahromi, A., Stakhovych, S. and Ewing, M., 'Customer churn models: A comparison of probability and data mining approaches. Academy of Marketing Science, World Marketing Congress, Australia, 17-20 July 2013.

Awards

  • Best Reviewer Award in the track of Marketing Analytics, Methods, and Modelling, ANZMAC 2018 Conference.
  • Best Paper Award in Business-to-Business Marketing, Academy of Marketing Conference, UK, 2008. 

Publications

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2022

Investigating the effect of status changes in review platforms

Ali Tamaddoni, Satheesh Seenivasan, Jason Pallant, Bernd Skiera

(2022), pp. 1-21, International Journal of Research in Marketing, Amsterdam, The Netherlands, C1

journal article
2021

Empirical decomposition of customer responses to discount coupons in online FMCG retailing

S Montazeri, A Tamaddoni, S Stakhovych, M Ewing

(2021), Vol. 58, Journal of Retailing and Consumer Services, C1

journal article

Religious Belief, Religious Priming, and Negative Word of Mouth

R Casidy, A Duhachek, V Singh, A Tamaddoni

(2021), Vol. 58, pp. 762-781, Journal of Marketing Research, London, Eng., C1

journal article

Predicting Season Ticket Holder Retention Using Rich Behavioral Data

Adam Karg, Ali Tamaddoni, Heath McDonald, Michael Ewing

(2021), Vol. 35, pp. 426-439, JOURNAL OF SPORT MANAGEMENT, C1

journal article
2020

Mix&Match: A Resource-Based Complaint Recovery Framework for Tangible Compensation

S Stakhovych, A Tamaddoni

(2020), Vol. 23, pp. 337-352, Journal of Service Research, C1

journal article

The impact of advertising on market share: Controlling for clutter, familiarity, and goodwill decay

N De Canha, M Ewing, A Tamaddoni

(2020), Vol. 60, pp. 87-103, Journal of Advertising Research, New York, N.Y., C1

journal article
2019

The paradox of (dis)trust in sponsorship disclosure: the characteristics and effects of sponsored online consumer reviews

S Kim, E Maslowska, A Tamaddoni

(2019), Vol. 116, pp. 114-124, Decision support systems, Amsterdam, The Netherlands, C1

journal article
2018

Managing emissions allowances of electricity producers to maximize CO2 abatement: DEA models for analyzing emissions and allocating emissions allowances

M Mahdiloo, O Ngwenyama, R Scheepers, A Tamaddoni

(2018), Vol. 205, pp. 244-255, International Journal of Production Economics, C1

journal article
2017

The impact of personalised incentives on the profitability of customer retention campaigns

A Tamaddoni, S Stakhovych, M Ewing

(2017), Vol. 33, pp. 327-347, Journal of marketing management, Abingdon, Eng., C1

journal article
2016

Comparing churn prediction techniques and assessing their performance: a contingent perspective

A Tamaddoni, S Stakhovych, M Ewing

(2016), Vol. 19, pp. 123-141, Journal of service research, London, Eng., C1

journal article
2014

Managing B2B customer churn, retention and profitability

A Tamaddoni Jahromi, S Stakhovych, M Ewing

(2014), Vol. 43, pp. 1258-1268, Industrial Marketing Management, Amsterdam, The Netherlands, C1

journal article
2010

Modeling customer churn in a non-contractual setting: the case of telecommunications service providers

A Tamaddoni Jahromi, M Sepehri, B Teimourpour, S Choobdar

(2010), Vol. 18, pp. 587-598, Journal of strategic marketing, Abingdon, Eng., C1-1

journal article
2008

Towards More Integration: Investigation of Iranian Pharmaceutical Logistics Providers

Ali Tamaddoni, Jahromi Mehrad, Moeini Jazani

(2008), pp. 2764-2771, ICIM2008 : Proceedings of the 5th International Conference on Innovation & Management 2008, Maastricht, The Netherlands, E1-1

conference

Funded Projects at Deakin

Industry and Other Funding

Churn Management.

A/Prof Ali Tamaddoni Jahromi, Prof Andre Bonfrer

Legal Super Pty Ltd

  • 2023: $18,181

Measuring Consumer Preferences for AI Alignment Strategies

Prof Andre Bonfrer, A/Prof Ali Tamaddoni Jahromi

Conjointly AI Alignment Research Grant

  • 2023: $10,000

Supervisions

Associate Supervisor
2022

Ashish Shrikrishna Galande

Thesis entitled: Business- to- Business Relationship Dynamics: How Do Relationships Evolve?

Doctor of Philosophy, Department of Marketing

2019

Samaneh Montazeri

Thesis entitled: Decomposition of Customers' Response to Discount Coupons

Master of Commerce, Department of Marketing