Exploring factors affecting the adoption of mobile commerce in Singapore
M-commerce is defined as any direct or indirect transaction conducted and facilitated through a wireless telecommunication network. There are currently 94.9 million M-commerce users worldwide in 2003 and the segment is expected to grow to 1.67 billion by 2008. This research explores how Singaporeans are influenced to adopt the M-commerce. The research employs the Technology Acceptance Model (TAM) to examine factors affecting Singaporeans' attitudes toward this emerging mobile technology and applications.The research uses a quantitative approach to survey 866 Singaporean students examining their decision-making process to adopt M-commerce. Empirical data from regression analyses reflect consumer perceived usefulness (PU) influence attitude toward using (AT) M-commerce. It is also found consumer innovativeness, past adoption behavior, technology cluster adoption, age, and gender affect their adoption behavior. Results from multiple regression analyses further reveal that male respondents tend to perceived M-commerce favorably.The majority of positive relationships between PU, PEOU, AT, innovativeness, adoption behavior, and demographics are supported by the empirical data. Results also support the applicability of TAM and its extension to examine M-commerce adoption by Singapore consumers. This research also validates the robustness of TAM to study emerging technologies outside the U.S. context.
e-Government Adoption Model (GAM): Differing service maturity levels
This research has as its objective the discovery of the critical factors that enable citizens to adopt e-Government (e-Gov) at different stages of service maturity. To accomplish the objective, this research has explained the related concepts and theories and developed a research framework grounded on a strong theoretical and literature review background. The empirical study was conducted in Canada, which is a leader in providing mature e-Gov services. From our results, we have observed two ontological differences from the present literature in the adoption behavior of e-Gov where organizational and financial perspectives have distinct implications over parsimonious technology adoption behavior. First, technology adoption model (TAM), diffusion of innovation theory (DOI), and theory of planned behavior (TPB) cannot capture and specify the complete essence of e-Gov adoption behavior of citizens. Second, e-Gov adoption behavior also differs based on service maturity levels, i.e., when functional characteristics of organizational, technological, economical, and social perspectives of e-Gov differ. Our findings indicate the critical factors that enable citizens to adopt e-Gov at different stages of service maturity. Public administrators and policy-makers have potential implications from the findings of the adoption behavior of e-Gov at different maturity levels.
information system management system cloud computing decision making information technology world wide web life cycle hidden markov model markov model wide web world wide empirical study sustainable development literature review factors affecting life cycle assessment developing country web server parallel algorithm factors influencing cycle assessment electronic commerce technology acceptance model environmental management protein structure user authentication empirical investigation technology acceptance amino acid independent set cloud computing service integrated model protein sequence protein data bank corporate governance nucleic acid set problem sustainability assessment technology adoption environmental management system mobile commerce environmental sustainability internet banking life cycle costing fast parallel maximum independent set mobile banking electronic busines independent set problem maximum independent maximal independent set business network perceived risk cloud computing adoption maximal independent internet web computing adoption workload characterization adoption model sustainability indicator fast parallel algorithm target prediction sustainability issue life cycle sustainability performance outcome top management support adoption of mobile innovation adoption corporate sustainability system adoption information technology adoption adoption decision influencing the adoption cycle sustainability tam model weighted independent set technology adoption model adoption rate sustainability reporting set packing amino acid substitution adoption behavior weighted independent commerce adoption consumer adoption adoption of internet generalized hidden markov sustainability practice banking adoption weighted set subset problem acid substitution e-business adoption product adoption perceived behavioral control natural capital mirna target prediction electronic commerce adoption mobile banking adoption adoption research toe framework ecological sustainability agricultural sustainability independent sequence internet web server technology adoption research review [publication type] united state