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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.
A how-to-guide to get others in your organization to accept new technologies, processes, regulations, management, etc.
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.
Getting an innovation adopted is difficult; a common problem is increasing the rate of its diffusion. Diffusion is the communication of an innovation through certain channels over time among members of a social system. It is a communication whose messages are concerned with new ideas; it is a process where participants create and share information to achieve a mutual understanding. Initial chapters of the book discuss the history of diffusion research, some major criticisms of diffusion research, and the meta-research procedures used in the book. This text is the third edition of this well-respected work. The first edition was published in 1962, and the fifth edition in 2003. The book's theoretical framework relies on the concepts of information and uncertainty. Uncertainty is the degree to which alternatives are perceived with respect to an event and the relative probabilities of these alternatives; uncertainty implies a lack of predictability and motivates an individual to seek information. A technological innovation embodies information, thus reducing uncertainty. Information affects uncertainty in a situation where a choice exists among alternatives; information about a technological innovation can be software information or innovation-evaluation information. An innovation is an idea, practice, or object that is perceived as new by an individual or an other unit of adoption; innovation presents an individual or organization with a new alternative(s) or new means of solving problems. Whether new alternatives are superior is not precisely known by problem solvers. Thus people seek new information. Information about new ideas is exchanged through a process of convergence involving interpersonal networks. Thus, diffusion of innovations is a social process that communicates perceived information about a new idea; it produces an alteration in the structure and function of a social system, producing social consequences. Diffusion has four elements: (1) an innovation that is perceived as new, (2) communication channels, (3) time, and (4) a social system (members jointly solving to accomplish a common goal). Diffusion systems can be centralized or decentralized. The innovation-development process has five steps passing from recognition of a need, through R&D, commercialization, diffusions and adoption, to consequences. Time enters the diffusion process in three ways: (1) innovation-decision process, (2) innovativeness, and (3) rate of the innovation's adoption. The innovation-decision process is an information-seeking and information-processing activity that motivates an individual to reduce uncertainty about the (dis)advantages of the innovation. There are five steps in the process: (1) knowledge for an adoption/rejection/implementation decision; (2) persuasion to form an attitude, (3) decision, (4) implementation, and (5) confirmation (reinforcement or rejection). Innovations can also be re-invented (changed or modified) by the user. The innovation-decision period is the time required to pass through the innovation-decision process. Rates of adoption of an innovation depend on (and can be predicted by) how its characteristics are perceived in terms of relative advantage, compatibility, complexity, trialability, and observability. The diffusion effect is the increasing, cumulative pressure from interpersonal networks to adopt (or reject) an innovation. Overadoption is an innovation's adoption when experts suggest its rejection. Diffusion networks convey innovation-evaluation information to decrease uncertainty about an idea's use. The heart of the diffusion process is the modeling and imitation by potential adopters of their network partners who have adopted already. Change agents influence innovation decisions in a direction deemed desirable. Opinion leadership is the degree individuals influence others' attitudes.
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.
In our rush to acceptance of innovative trends, products and solutions, we are frequently discovering that our embrace of "new" comes with consequences-positive and negative. Innovations are changing our cultures, spearheading movements, and even, altering a foundation of human interaction and touch. Today, we can create artificial intelligence, augmented realities, global dialogues, risk mitigations, terrorism responses, and even download our brains into "the cloud". Yet, are we prepared for the impacts of these innovations? Do we comprehend what influence they have on our decisions? Are these innovations all necessary, and is it contributing to wealth divides? Innovation ramifications have been here for centuries-now they arrive at a non-stop pace.We have reached a state of innovation where we can no longer just trust our eyes, our ears, our readings, and our senses. Innovation has created "deep" ramifications. It's time to sound the alarm.
Ute Hillmer investigates technology acceptance behavior in the mechatronics industry in Germany and develops a multi-disciplinary understanding, which includes psychology, sociology and business science. It is shown that individuals accept new technologies more easily, if the technology replicates their individual social values and if the implementation process considers the prime social values that can typically be found in their social networks.
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 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.
Every day, more users access services and electronically transmit information which is usually disseminated over insecure networks and processed by websites and databases, which lack proper security protection mechanisms and tools. This may have an impact on both the users’ trust as well as the reputation of the system’s stakeholders. Designing and implementing security enhanced systems is of vital importance. Therefore, this book aims to present a number of innovative security enhanced applications. It is titled “Security Enhanced Applications for Information Systems” and includes 11 chapters. This book is a quality guide for teaching purposes as well as for young researchers since it presents leading innovative contributions on security enhanced applications on various Information Systems. It involves cases based on the standalone, network and Cloud environments.