System dynamics: simulation for policy analysis from a feedback perspective
Qualitative simulation modeling and analysis
Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
Computers and Industrial Engineering
The CRM handbook: a business guide to customer relationship management
The CRM handbook: a business guide to customer relationship management
System dynamics modelling in supply chain management: research review
Proceedings of the 32nd conference on Winter simulation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Product classification in the internet business: a fuzzy approach
Decision Support Systems
A decision support system for product design in concurrent engineering
Decision Support Systems
Knowledge networking to support medical new product development
Decision Support Systems
Enterprise integration of product development data: systems science in action
Enterprise Information Systems
A conceptual framework for product lifecycle modelling
Enterprise Information Systems
Systems science serves enterprise integration: a tutorial
Enterprise Information Systems
Expert Systems with Applications: An International Journal
Triangulation in decision support systems: Algorithms for product design
Decision Support Systems
A Markov Chains repurchasing model for CRM using system dynamics
MS '08 Proceedings of the 19th IASTED International Conference on Modelling and Simulation
Enterprise Information Systems
Optimal product positioning with consideration of negative utility effect on consumer choice rule
Decision Support Systems
Supporting product design by anticipating the success chances of new value profiles
Computers in Industry
Mining stable patterns in multiple correlated databases
Decision Support Systems
Hi-index | 0.00 |
In recent years, firms have focused on how to enter markets and meet customer requirements by improving product attributes and processes to boost their market share and profits. Consequently, market-driven product design and development has become a popular topic in the literature. However, past research neither covers all of the major influencing factors that together drive customers to make purchase decisions, nor connects these various influencing factors to customer purchasing behavior. Past studies further fail to take the time value of money and customer value into consideration. This study proposes a decision support system to (a) predict customer purchasing behavior given certain product, customer, and marketing influencing factors, and (b) estimate the net customer lifetime value from customer purchasing behavior toward a specific product. This will not only enable decision-makers to compare alternatives and select competitive products to launch on the market, but will also improve the understanding of customer behavior toward particular products for the formulation of effective marketing strategies that increase customer loyalty and generate greater profits in the long term. Decision-makers can also make use of the system to build up confidence in new product development in terms of idea generation and product improvement. The application of the proposed system is illustrated and confirmed to be sensible and convincing through a case study.