Newly introduced undergraduate courses in state universities failed due to various reasons. The purpose of this study is to explore the factors that affect student satisfaction in the learning environment and to which extent such factors influence the learning behaviour of university students. The study adopts the nudge theory to analyse the students’ decision making based on choice architecture and the constructivist grounded theory, which explores how students determine satisfaction with learning. This study has been conducted in the context of the students who follow newly introduced courses in state universities in Sri Lanka. The study has applied quantitative research design to answer the research questions following the survey method. The conceptual framework of the study focuses on physical and intellectual support factors in the learning environment to measure student satisfaction. The results derive that academic support provided by the staff is the main factor to satisfy the students in the learning environment, which has a significant relationship. Support of the library has been identified as a factor which negatively affects student satisfaction. The study reveals that how students’ decision-making behaviour can be analysed through nudging. The primary contribution of the study is to the literature on identifying key factors which assist students in the learning environment to do the studies satisfactorily when they read for newly introduced courses in state universities. The study develops a novel theoretical structure through nudge theory to identify the students’ behaviour and satisfaction level. The practical implications are vital in this study which indicates that important aspects of developing in higher education in Sri Lanka to improve the quality of newly introduced courses in business. Keywords: Satisfaction, Learning environment, Nudge
Digital transformation is developing as a key driver of changing customer services in many industries including the telecommunication industry of Sri Lanka. Over the past decade, most customer services have been increasingly digitalized by improving profitability and the overall efficiency of business in several industries, including telecommunication. Hence, the study was mainly motivated to explain the effect of customer trust and perceived risk on intention to use digitalized services in the telecommunication industry in Sri Lanka. The conceptual model was developed based on three main variables, namely customer trust, perceived risk and intention to use digitalized services. For analyzing purposes, data was collected from a representative sample of 250 customers who were using traditional offline telecommunication services in the Colombo district. A printed structured questionnaire was used for data collection. SPSS and SMART PLS based Structural Equation Modeling (SEM) techniques were used for data analysis. The findings of the survey showed that customer trust had a positive impact on intention to use digitalized customer services. However, it has proven that there is no significant moderating effect of perceived risk on the relationship between customer trust and intention to use digitalized services in the telecommunication industry in Sri Lanka. Therefore, increased customer trust in digitalized services can be used as a tool to enhance the intention to use digitalized customer services. The findings further describe management implications and opportunities for future research in the same field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.