Nasir Salari

Personal statement

Dr Nasir Salari joined Bath Spa University in 2013 after completing his PhD at the University of Birmingham in Marketing. He is currently the Course Leader in MA Marketing and Brand Management as well as the Pathway Leader in Marketing at the undergraduate level.

Dr Salari has taught variety of courses in the Business Management studies including ‘International Marketing’, ‘Marketing Management’, ‘Creativity and Innovation’, ‘Managing Data’, and ‘Marketing Analytics’.

Nasir’s areas of expertise interplay between marketing and Data Science. He has achieved professional certificate in Data Science from the Data Incubator and the Cambridge Spark and is currently undertaking research activities in this field. Specifically, he is interested in the application of Data Science in Marketing, such as NLP for sentiment analysis, and the machine learning approaches that are applicable in Marketing, such as: Approximate Nearest Neighbours, Random Forests, TSNE, K-Means etc.

Dr Salari welcomes scholarly and consultancy proposals in Marketing and Data Science and has already completed some projects in this area. Should you have any question, please do not hesitate to contact him.

Academic qualifications

  • PhD in Marketing: University of Birmingham
  • MSc in Marketing: University of Birmingham
  • BSc Shahid Beheshti University (Iran/Tehran).

Professional memberships

  • Chartered Institute of Marketing

Professional certificates

  • Foundation of Data Science (Data Incubator)
  • Applied Data Science (Cambridge Spark)

Teaching subjects

  • International marketing
  • Marketing management
  • Creativity and innovation
  • Marketing analytics

Areas of expertise

  • Marketing
  • Data science in Marketing
  • Innovation studies

PhD Research supervision

All research proposals in Marketing and Innovation topics will be considered but specifically please contact me with regard to your proposals about Data Science topics in Marketing, such as your ideas in Machine.

Preferred methods

Predominantly quantitative but qualitative methods are also welcome. My preference is to use the Python language in Data Science projects.

Research keywords

  • Quantitative Marketing
  • Data Science
  • Machine Learning
  • NLP (Natural Language Processing)

Research and academic outputs

Go to ResearchSPAce

Cultural influences on innovation resistance: a conceptual framework
book_section

Salari, N (2017) 'Cultural influences on innovation resistance: a conceptual framework.' In: Shiu, E, ed. Research handbook of innovation and creativity for marketing management. Edward Elgar, Cheltenham, pp. 156-170. ISBN 9781786434982


Establishing a culturally transferrable consumer innovativeness scale for radical and really new innovations in new markets
article

Salari, N and Shiu, E (2015) 'Establishing a culturally transferrable consumer innovativeness scale for radical and really new innovations in new markets.' Journal of Marketing Analytics, 3 (2). pp. 47-68. ISSN 2050-3326


Vampire grades: can simulations support learning without reflection?
conference_item

Smith, D and Salari, N (2018) Vampire grades: can simulations support learning without reflection? In: American Marketing Academy Summer Conference, 10 - 13 August 2018, Boston, Massachusetts, USA.


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