Diffusion of innovations

About: Diffusion of innovations is a research topic. Over the lifetime, 2139 publications have been published within this topic receiving 191397 citations. The topic is also known as: diffusion of innovation & diffusion of innovations theory.

Ex-ante assessment of financial innovation policies in infrastructure system-of-systems

Abstract: This dissertation focuses on the creation and testing of a paradigm in innovation and policy assessment in civil infrastructure system-of-systems (SoS) Many uncertain factors (eg, economic conditions, public attitudes, political priorities, business dynamics, etc) affect the creation and diffusion of innovations in civil infrastructure Policy-makers who evaluate innovation policies also face known unknowns (policy outcomes whose nature is known but their probability of occurrence is not known), as well as unknown unknowns (policy outcomes whose nature and probability of occurrence are not known), due to the adaptive behaviors of the players in the system The overarching objective of this dissertation was to create and evaluate an ex-ante analytical framework for micro-simulation of infrastructure innovation policies under uncertain conditions The developed framework was based on the abstraction and micro-simulation of the activities and interactions of the major players in the system, and its application is demonstrated for the assessment of sustainable financial innovation policies Using the framework and data obtained from a wide range of sources, ranging from historical records and case studies to interviews with SMEs, the interdependencies of finance and transportation infrastructure were explored These interdependencies (eg, the effects of financial market conditions on the debt-related decisions made by state Departments of Transportation) then were used to develop a hybrid agent-based/system dynamics model for micro-simulation of sustainable financial innovation policies Using this model and Monte-Carlo experimentation, the policy landscape of transportation Infrastructure in the US was simulated The model was verified and validated as follows: (1) by using sensitivity analysis and uncertainty propagation analysis and (2) through face validity by several SMEs from organizations such as the World Bank, the US Department of Transportation, and the Federal Highway Administration The results suggest that the simulated policy landscape is capable of identifying the significant factors that affect policy decisions and explore scenarios for closing the financing gap under uncertain conditions This distinctive approach is the first of its kind to simulate the US transportation infrastructure policy landscape by simulating the micro-dynamics of the system This framework has the potential to be adopted for ex-ante simulation of the landscape of sustainable policies towards expansion of alternative energy systems, enhancing intelligent transportation systems, and improving the resilience of electric grids

Diffusion of Innovations: How Local Governments Shape Public Policy to Promote Progressive Stormwater Management

Abstract: Examining committee: Dr. Ed Weeks, Associate Professor, Chair of Committee Dr. Carl Hosticka, Associate Professor Emeritus

Factors in ICT Innovation's diffusion from an environmental context perspective: The case of XBRL

Abstract: Objectives of the Study The main objective of this study is to uncover which are the key dimensions that accelerate or retard the diffusion of XBRL within the context of an organization’s environment. There has been a lack of an environmental perspective on the diffusion research in previous studies on XBRL. As the globally coordinated standard of XML specifically developed for financial information reporting, the diffusion of XBRL is in a sense the study of the diffusion of digital online financial information. Academic background and methodology The academic background of thesis includes the theories of the diffusion of innovations, standards, and models for external pressures impacting innovation adoption. The main theoretical model used for the empirical analysis is the Technology-Organization-Environment framework. The focus centred on the variables in the environmental context of organizations and this was divided into the four parts: technology support infrastructure, government regulation, industry characteristics and market structure, and cultural and other institutional pressures. The methodology implemented in the study included a case-study approach of target country environments with the data collected from semi-structured interviews. Findings and conclusions The findings of the study showed that the most important factors found affecting the diffusion of XBRL are regulatory pressures. Additionally, to a lesser extent the occurrence of path dependencies, certain national market characteristics, and the support infrastructure have an impact.

Understanding diffusion of information systems-based services: evidence from mobile banking services

Abstract: The Bass model is widely used in the literature to capture the diffusion of innovations and shows excellent predictive power in the context of durable goods. However, the model's efficacy fades when services are the target of analysis. Services that users adopt and subsequently utilize regularly are regarded as a continuous process that entails the possibility of dis-adoption and re-adoption. These aspects are not accounted for in the traditional Bass model. Thus, this study extends the Bass model to information system (IS)-based services by taking into account the unique nature of service adoption: the possibility of dis-adoption and re-adoption.,The proposed hypotheses were empirically tested using a longitudinal study of mobile service usage over 18 months. The longitudinal design provides a stronger position than the typical cross-sectional survey to understand the dynamics and infer causality.,Results show that the inclusion of the dis-adoption and re-adoption rates in the Bass model significantly improves the explanatory power over the traditional Bass model.,Consumption of services delivered through IS has exponentially increased. However, understanding on the diffusion pattern of IS-based services is limited. Our study is the first to examine the effect of dis-adoption and re-adoption together in the innovation diffusion process. The study offers significant implications for researchers and practitioners. The extended Bass model can help service firms develop an accurate prediction about the number of adopters at different periods of time.

The correlation study of eWOM and product sales predictions through SNA perspectives: an exploratory investigation by Taiwan's cellular phone market

Abstract: Word of mouth (WOM) provide a crucial role in marketing promotions Extending the practices to internet, the electronic word-of-mouth (eWOM) presents a new mechanism for understanding the information propagation and diffusion of innovations, and their relations to the actual market activity Through the perspectives and methodologies of social network analysis (SNA), this research explored the possibilities to capture, to aggregate and summarize, and to analyze the dynamics of eWOM communities Using Taiwan's cellular phone discussion board, or forum, we present the potential of using communities interaction indictors to capture the real world's marketing figures