Integrating models of diffusion of innovations: a Conceptual Framework.

By Barbara Wejnert. 2002

1,378 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/023e158ad6e4baac9df43792d0c48dd69c221df6

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In Management of Technology and Innovation

In Management Science and Operations Research

In Strategy and Management

Citations in the corpus

Towards a general theory of implementation (2013, background): “Much work about the diffusion of innovations has started with the notion that advances in technology or practice flow through, and gradually populate, large scale social networks [54,55].”
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines (2024, background): “Essential in sociology, communication, and public health, DIT outlines the mechanisms and factors influencing the diffusion rate and breadth of innovations (Wejnert, 2002).”
Innovation & Its Diffusion in Business: Concept, Stages & Procedural Practices (2020, background): “Wejnert (2002) narrated that most diffusion analyses emphasized actors & their innovation perceptions, along with environmental context variables influencing the adoption process.”
Adoption of alternative fuel vehicles: Influence from neighbors, family and coworkers (2017, background): “” (Hägerstrand, 1965, page 28) This neighbor/hood effect has since its initial conceptualization been incorporated explicitly or implicitly in much theorization on diffusion of innovation and innovation adoption and as such has been linked to how interpersonal influence in general affects awareness ”
The characteristics of energy-efficiency measures – a neglected dimension (2012, background): “Wejnert (2002) for example distinguished three main groups: the characteristics of innovations (in our case EEMs), the characteristics of innovators (in our case firms) and the environmental context.”
Perspectives and Dimensions of Consumer Innovativeness: A Literature Review and Future Agenda (2014, background): “E-mail: arunkaushik.iitr@gmail.com 1986; Rogers 1995; Wejnert 2002; Greenhalgh et al. 2004, 2005; Cheng and Huang 2013).”
How do Consumers Perceive Electric Vehicles? A Comparison of German Consumer Groups (2014, background): “Research has shown that groups with a higher socio-economic status are more likely to adopt innovations (Rogers, 2003; Wejnert, 2002); thus, participants in our sample might in general have more positive perceptions of EVs than the wider population of car owners.”
A bibliometric review of the innovation adoption literature (2018, background): “, 1973 [106]; Dewar and Dutton, 1986 [94]; Kimberly and Evanisko, 1981 [93]; Meyer and Goes, 1988 [95]; Tornatzky and Fleisher, 1990 [100]; Damanpour, 1991; 1992 [18, 108]; Rogers, 1995 [32]; Hofstede, 2001 [112]; Wejnert, 2002 [113] Dewar and Dutton, 1986 [94] (Levels of) knowledge [no effect of de”
User-centered E-Government in practice: A comprehensive model for measuring user satisfaction (2009, background): “It is a frequently used theory to assess adoption potential (Wejnert, 2002).”
Increasing the Use of Evidence‐Based Teaching in STEM Higher Education: A Comparison of Eight Change Strategies (2014, methodology): “Building on the work of Rogers and many others, Wejnert (2002) provided a very useful framework of three categories of variables associated with diffusion of innovations (Table 2).”
Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (2010, background): “Wejnert (2002) suggests that the economic conditions of the actor determine their susceptibility to influence, and a lower resource endowment in a smaller hospital may likewise elicit a response to ignore the actions of others.”