Innovation Acceptance

Advanced Driver-Assistance Systems (ADAS) provide the opportunity to increase road safety and driving comfort. Reviewing existing empirical work on comparable innovations, Patrick Planing derives potential acceptance constructs, which together with the results of thirty-two semi-structured interviews, have constituted the basis for a survey instrument that was consequently administered to a sample of over 400 participants from the target population. The resulting regression model shows that perceived safety and comfort benefits are most decisive for the acceptance of ADAS, while desire to exert control was found to most strongly support resistance to this technology.

When Innovation is considered one of the key drivers of corporate success, why do organisations struggle to implement it? Research suggests that innovations fail due to a lack of acceptance by employees; therefore an understanding of potential adopters and the factors influencing their decisions is essential. Despite much research on adoption of innovation by an organization, very little is known about its acceptance by individuals within it. Managing Innovation Adoption is about managing technological innovation implementation at work in an effective way by presenting a new theoretical framework. Based on the theory of reasoned action (TRA), the technology acceptance model (TAM) and other conceptual frameworks, Dr Talukder’s enhanced model combines factors from existing and original models to create a coherent new model. The data collected proves that it can be used to assist a broader understanding of how people in an organization adopt and use innovations. As well as contributing to academic knowledge, the author’s discoveries have practical implications for organizations, managers, administrators and employees.

The book investigates the determinants which are influencing the acceptance of artificial intelligence (AI) in an organizational context, focusing on the German financial services industry. An AI-specific acceptance model is being developed based on technology acceptance models as well as being enriched with practical insights from industry experts. Ultimately, the acceptance of artificial intelligence is influenced by multiple, interrelated variables, which can be classified into five major dimensions: organizational, individual, financial, technological and societal factors.

This book focuses on the development of a structural model to test for marketing-communication technology acceptance of entrepreneurs and managers in a cross-cultural setting. The results of the survey reveal behavioral differences between managers and entrepreneurs regarding the acceptance of digital marketingcommunication technologies and thus substantially contribute to our understanding of the intersection of entrepreneurial marketing and technology acceptance. This book derives various recommendations for scientists and practitioners. Providers of digital marketingcommunication technologies can improve their own marketing process by using the discovered differentiation criteria.

A how-to-guide to get others in your organization to accept new technologies, processes, regulations, management, etc.

This book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts. It also provides insights into the theoretical and practical aspects of different technological innovations that assist decision-makers in formulating the required policies and procedures for adopting a specific technology.

Discover the latest innovations in ACT research and clinical practice—all in one comprehensive, edited volume. Acceptance and commitment therapy (ACT) is a powerful and proven-effective treatment model for alleviating several mental health conditions, ranging from depression and anxiety to addiction and eating disorders. And because ACT is an ever-evolving modality that relies on processes, rather than fixed protocols, it is primed for substantial clinical innovations as researchers and clinicians develop new strategies for increasing psychological flexibility. Innovations in Acceptance and Commitment Therapy combines the latest, cutting-edge ACT research with a wealth of “in-the-trenches” experience from leading clinicians in the field, including Steven C. Hayes, Matthieu Villatte, Benjamin Schoendorff, and more. In this volume, you’ll find an overview of innovations spanning the last decade, how to translate these innovations into everyday interventions, and a summary of future directions for researching and refining ACT in practice. The book also includes: New research on clinical behavior analysis, relational frame theory (RFT), and evolution science Innovative methods for applying basic RFT principles in clinical practice Implications for developing process-based assessments and interventions Tips for integrating ACT in applied behavior analysis As ACT continues to evolve, you need up-to-date resources to inform and improve your work with clients. Whether you’re a clinician, researcher, or student, this book is a must-have for your professional library.

Benoît Godin is a Professor at the Institut national de la recherche scientifique, Montreal. Models abound in science, technology, and society (STS) studies and in science, technology, and innovation (STI) studies. They are continually being invented, with one author developing many versions of the same model over time. At the same time, models are regularly criticized. Such is the case with the most influential model in STS-STI: the linear model of innovation. In this book, Benoît Godin examines the emergence and diffusion of the three most important conceptual models of innovation from the early twentieth century to the late 1980s: stage models, linear models, and holistic models. Godin first traces the history of the models of innovation constructed during this period, considering why these particular models came into being and what use was made of them. He then rethinks and debunks the historical narratives of models developed by theorists of innovation. Godin documents a greater diversity of thinkers and schools than in the conventional account, tracing a genealogy of models beginning with anthropologists, industrialists, and practitioners in the first half of the twentieth century to their later formalization in STS-STI. Godin suggests that a model is a conceptualization, which could be narrative, or a set of conceptualizations, or a paradigmatic perspective, often in pictorial form and reduced discursively to a simplified representation of reality. Why are so many things called models? Godin claims that model has a rhetorical function. First, a model is a symbol of “scientificity.” Second, a model travels easily among scholars and policy makers. Calling a conceptualization or narrative or perspective a model facilitates its propagation.