Explicating user behavior toward multi-screen adoption and diffusion: User experience in the multi-screen media ecology. Issue 2 (3rd April 2017)

• Record Type: Journal Article
• Authors: Shin, Dong-Hee; Biocca, Frank
• Is Part Of: Internet research. Volume 27:Issue 2(2017)
• Page Start: 338
• Page End: 361
• Publication Date: 2017-04-03
• Subjects: Neural network -- Cross-platform -- Multi-device experience -- Multi-screen strategy -- One-source multi-use; Internet -- Periodicals; Computer networks -- Periodicals; 004.678
• DOI: 10.1108/IntR-12-2015-0334
• Languages: English
• ISSNs: 1066-2243

Abstract

Abstract : Purpose: The purpose of this paper is to analyze user behavior toward multi-screen services by employing neural networks to predict overall customer satisfaction and to prioritize the factors that influence customer intentions. Design/methodology/approach: Multi-screen experiences require a new approach incorporating multiple methods. A proposed multi-state analytic approach in which the research model is tested using structural equation modeling was utilized. The results were then used as inputs for a neural network model to predict multi-screen adoption. Findings: The findings indicate that multi-screen quality significantly influences usability, which subsequently affects the adoption of the technology. Practical implications: The policy and managerial implications of multi-screen development are discussed based on the models of acceptance and diffusion. Social implications: The emergence of multi-screen services as well as the simultaneous and sequential engagement of users with multiple devices throughout the day challenges the ability of marketers to develop effective communication strategies. Originality/value: This study provides an in-depth analysis and heuristic data regarding user drivers, market dynamics, and policy implications in the one-source multi-use ecosystem.