Title of article :
Data driven approaches for customer centric and service dominant value propositions: A systematic literature review
Author/Authors :
Mohammadi, Mahshad School of Industrial Engineering - Iran University of Science and Technology, Tehran, Iran , Rasouli, Mohammad Reza School of Industrial Engineering - Iran University of Science and Technology, Tehran, Iran , Pishvaee, Saman School of Industrial Engineering - Iran University of Science and Technology, Tehran, Iran
Abstract :
Novel marketing theories that focus on service dominant approaches require to deeply
consider customer specifications and needs within using products and services by
customers. In this way, data driven approaches that focus on analyzing customer
behavior are critically important to realize service dominant logic of marketing.
Although previous studies have proposed different approaches to enhance dynamic and
customer centric value propositions, there is not a comprehensive view on data-driven
approaches that can be used within this context. The main research question that is
addressed in this paper is "what are the data-driven approaches, concepts, and practical
domains that are addressed for customer centric value propositions to enable service
ecosystems to co-create value with customers”. To answer this research question, a
systematic literature review is conducted. Based on the relevant evidence extracted
from 124 papers, the approaches, core concepts, and key practical domains of customer
centric value propositions are described. The paper aims to systematically bridge
between prescriptive approaches and tools that have emerged in the field of data
analytics and descriptive concepts that have introduced by novel marketing theories.
Keywords :
Service dominant logic , value co-creation , value proposition , data driven approach , machine learning
Journal title :
Journal of Industrial and Systems Engineering (JISE)