A Case of Affordances

Abstract

This study attempts to explore the contextual factors that play a significant role in promoting collaborative governance using mobile phones in developing countries. The study utilises review of academic literature and experts’ opinion to identify critical conversion factors and their interrelationship. Affordance Theory is used as a theoretical lens to identify eight significant factors covering development of infrastructure, citizen up-skilling, cost of access, ease of use, reliable infrastructure, ensured privacy & security, process accountability and a standardised m-governance policy. A combination of Total Interpretative Structure Modelling (TISM) and Cross-impact matrix multiplication applied to classification (MICMAC) analysis is employed to prioritise these conversion factors and classify them based on their dependence and driving power. A priority-based hierarchical model is proposed for establishing a sustainable m-governance ecosystem.

Antecedents to the Adoption of Digital Marketing by Start-Ups Under Startup-India and E-Governance Initiatives

“…The attitude toward any system gets influenced by the RF and RA, which eventually leads to consequential AI. Hence, to enhance the adoption of digital marketing, e-commerce, data analytics, mobile applications, and other capabilities by start-ups, GoI needs to work on factors that will develop and promote collaborative governance (Sharma et al, 2022b). This has the right potential to develop a comprehensive e-governance ecosystem that would enable entrepreneurs and start-up managers to leverage such systems and bring effectiveness and efficiency to business operations.…”

Behavioral Acceptance of Electronic Government in Jordan

“…Moreover, gender differences affect behaviors, attitudes, and social media communication which enhance engagement (Stone & Can, 2021). Furthermore, factors affect e-government service use such as infrastructure, security, privacy, ease of use, cost of access, reliability, accountability, and governance policies (S. Sharma, Mir, et al, 2022). Perceived risk, effort expectancy, facilitating conditions, social influence, performance expectancy, perceived quality of service, and trust in digital technology affect the attitude to use e-government in Jordan (AlHadid et al, 2022).…”