ARTÍCULO
TITULO

Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context

Kuldeep Baishya    
Harsh Vardhan Samalia    
Rohit Joshi    

Resumen

The purpose of this confirmatory study is to explore the factors influencing the acceptance of e-District services by the citizens in Assam, a north-east state of India. Taking Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM) and Technology Acceptance Model 3 (TAM3) as the basis, a conceptual framework is developed. The study uses semi-structured interviews, focus groups, and a questionnaire based survey through 166 valid data points to validate the conceptual framework. Moreover, the internal consistency of the scale items is checked with Cronbach?s alpha coefficient while the convergent and discriminant validities are checked with multitrait-multimethod matrix. This study confirms the positive relationship of ?Perceived Usefulness? and ?Facilitating Conditions? with ?Behavioral Intention? while the expected positive relationship of ?Effort Expectancy? and ?Social Influence? with ?Behavioral Intention? are found to be insignificant. Also, the study cannot find a significant negative relationship between ?Computer Anxiety? and ?Behavioral Intention?.Keywords: E-governance, Adoption, Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, E-District.JEL Classifications: M00, M15, M38

 Artículos similares

       
 
Eleni Vangjeli, Anila Mancka     Pág. 107 - 115

 
Galina Ilieva, Tania Yankova, Margarita Ruseva, Yulia Dzhabarova, Veselina Zhekova, Stanislava Klisarova-Belcheva, Tanya Mollova and Angel Dimitrov    
The objective of this study is to investigate and determine factors influencing user perception and acceptance of electronic government services in the context of technological advancements. The research focuses on classifying the main features of e-admi... ver más

 
Byunguk Lee, Boyoung Kim and Ureta Vaquero Ivan    
Artificial Intelligence (AI) startups possess four key attributes; being small enterprises, adopting AI technology, undergoing digital transformation, and using big data systems to enhance their competitiveness. This study aims to identify the key influe... ver más

 
Ammar Y. Alqahtani and Anas A. Makki    
Tourism is an upcoming industry with a high potential for future growth. Many factors influencing destination image (DI) are affecting tourism development. Therefore, studying factors influencing DI is essential. This research study aims to model the fac... ver más

 
Febri Arifatul Fadhila, Mubarokah, Nuriah Yuliati     Pág. 30 - 39