This is an auto/ethnographic account of one organization and one person as we concurrently moved thru a process of IT driven planned organizational change. The purpose of the study is to explain how the change agent is affected by the experience of leading change. Using actor-network theory and a polyphonic approach, I present a multi-voiced, multi-actor account of the social network in situ and trace how the various actors engaged with one another during the organizational change process. I reflect upon my own multi-role performativity when acting in the role of the internal change agent next to my daily job roles and explore the effects on both me and the network; which identifies that a new actor network has been created. Finally, a multi-voiced exploration of myself is presented which traces my evolution from researcher to auto/ethnographer, further demonstrating the effects of multi-role performativity on the human actor. The study demonstrates that the effects of organizational change on both the social network and the actors within the network cannot be foreseen. Furthermore, in combining the use of Actor Network Theory and auto-ethnography, the study provides new insights into the effects of performance on the human actor within a socio-technical network, which is an unexplored dimension within the field of organizational change.

This study investigates the meaning of the creative process within Bohus Stickning. With the use of Actor-Network-Theory in combination with Material Culture Theory, a framework of actors and networks has been made. By utilizing different forms of material and spoken sources, the study uses specifically tailored methods to make sure to unlock the pieces that, the material can bring to the puzzle. To give a contextualized answer to how and why the creative process took the form it did, the investigative part takes the form of a chronological presentation of the actors that played an important part for the creative process. The results of the studies have shown that Bohus Stickning’s founder and creative director, Emma Jakobsson’s background played a significant part in the direction of the company and its creative output. Her choice to lead Bohus Stickning towards a more modern approach close to the way continental fashion and art was produced, gave the organization a unique brand unlike anything else in Sweden at the time. Not only did their unique stans make Bohus Stickning a worldwide known brand, but also their level of quality, a result of highly competent staff, who worked within the company, made a big difference.

Science Fiction movies have in recent decades become sources of information and interpretation, in other words, a window that reflects the time period in which they were made. While the role of technology has been researched in science fiction material, not much focus has been put into researching specific types of technology. This paper attempts to do just that by investigating the role of information and communication technologies (ICT) in the two science fiction movies, Close Encounters of the Third Kind and Arrival. Primarily using the Actor-Network Theory (ANT), complemented by aspects of the Communication Accommodation Theory (CAT) and the theory of Social Construct of Technology (SCOT), this paper highlights the role of ICTs as active agents. Through a comparative method, selected scenes featuring examples of technologies whose purpose depends on the intentions of non-technological agents such as humans are given, adding an interpretative angle. The generational differences are highlighted throughout the analysis by the networks they create, as well as the power dynamics between civilian and military actors. We find that the Actor-Network Theory can be a great framework to use with science fiction cinema to investigate these subjects.

No description available.

No description available.

No description available.

No description available.

The health care system within the United States is in a state of transition. The industry, confronted with a variety of new technologies, new ways of organizing, spiraling costs, diminishing service quality and new actors, is changing, almost on a daily basis. Reports issued by the Institute of Medicine raise quality issues such as avoidable errors and underuse/overuse of services; other studies document regional variation in care. Improvement in the quality of care, according to health care experts is accomplished through measuring and comparing performance, but there are a number of disparate actors involved in this endeavor. Through a network of both public and private actors, collaboration on the development of a set of national performance measures is underway. Organizations such as the National Quality Forum (NQF), the Agency for Healthcare Research and Quality (AHRQ), the Centers for Medicare & Medicaid Services (CMS) and other have formed networks to develop and standardize performance measurement systems that can distinguish between quality services and substandard ones. While there is some available research about the processes involved in performance measurement system design, there is little known about the factors that influence the development and work of the network, particularly the selection of hospital performance measures. This dissertation explored the development of a national performance measurement system for hospitals, using an institutional rational choice perspective and actor-network theory as frameworks for discussion. Through qualitative research methods such as direct observation, interviews, participant observations and document review, a theoretically informed case study of the NQF's Hospital Steering Committee was performed, to address the following questions: How is a national performance measurement system developed and what is the role of federal agencies (e.g., AHRQ and CMS) in the process? / Ph. D.

The model used as the basis for regulation of human radiation exposures in the United States has been a source of controversy for decades because human health consequences have not been determined with statistically meaningful certainty for the dose levels allowed for radiation workers and the general public. This dissertation evaluates the evolution of the science and regulation of radiation health effects in the United States since the early 1900s using actor-network theory and the concept of co-production of science and social order. This approach elucidated the ordering instruments that operated at the nexus of the social and the natural in making institutions, identities, discourses, and representations, and the sociotechnical imaginaries animating the use of those instruments, that culminated in a regulatory system centered on the linear no-threshold dose-response model and the As Low As Reasonably Achievable philosophy. The science of radiation health effects evolved in parallel with the development of radiation-related technologies and the associated regulatory system. History shows the principle of using the least amount of radiation exposure needed to achieve the desired effect became established as a social convention to help avoid inadvertent harm long before there was a linear no-threshold dose-response model. Because of the practical need to accept some level of occupational radiation exposure, exposures from medical applications of radiation, and some de minimis exposure to the general public, the ALARA principle emerged as an important ordering instrument even before the linear no-threshold model had gained wide support. Even before ALARA became the law, it had taken hold in a manner that allowed the nuclear industry to rationalize its operations as representing acceptable levels of risk, even though it could not be proven that the established exposure limits truly precluded harm to the exposed individuals. Laboratory experiments and epidemiology indicated that a linear dose-response model appeared suitable as a "cautious assumption" by the 1950s. The linear no-threshold model proved useful to both the nuclear establishment and its detractors. In the hands of proponents of nuclear technologies, the model predicted that occupational exposures and exposures to the public represented small risks compared to naturally occurring levels of radiation and other risks that society deemed acceptable. Conversely, opponents of nuclear technologies used the model to advance their causes by predicting health impacts for undesirable numbers of people if large populations received small radiation exposures from sources such as fallout from nuclear weapon testing or effluents from nuclear reactor operations. In terms of sociotechnical imaginaries, the linear no-threshold model was compatible with both of the dominant imaginaries involved in the actor-network. In the technocratic imaginary of institutions such as the Atomic Energy Commission, the model served as a tool for qualified experts to make risk-informed decisions about applications of nuclear technologies. In the socially progressive imaginary of the citizen activist groups, the model empowered citizens to formulate arguments informed by science and rooted in the precautionary principle to challenge decisions and actions by the technocratic institutions. This enduring dynamic tension has led to the model retaining the status of "unproven but useful" even as the underlying science has remained contested. / Doctor of Philosophy / This dissertation provides a social science perspective on an enduring paradox of the nuclear industry: why is regulation of radiation exposure based on a model that everyone involved agrees is wrong? To answer that question, it was necessary to delve into the history of radiation science to establish how safety regulation began and evolved along with the understanding of radiation's health effects. History shows the philosophy of keeping radiation exposures as small as possible for any given application developed long ago when the health effects of radiation were very uncertain. This practice turned out to be essential as science started to indicate that there may not be a safe threshold dose below which radiation exposure had no potential for health consequences. By the 1950s, a combination of theory, experiments, health studies of the survivors of the World War II atomic bombings, and other evidence suggested that the risk of cancer was proportional to the amount of radiation a person received (i.e., linear). Although this "linear no-threshold" model was far from proven, both sides used it in debates over nuclear weapon testing and safety standards for nuclear reactors in the 1950s through the early 1970s. Since the model predicted small health risks for the levels of radiation experienced by radiation workers and the public, nuclear advocates used it to argue that the risks were smaller than many other risks that people accept every day. At the same time, opposing activists used the model to argue that small cancer likelihoods added up to a lot of cancers when large populations were exposed. This decades-long discourse effectively institutionalized the model. The model's "unproven but useful" status was strengthened in the early 1970s when the Atomic Energy Commission supplemented its numeric exposure limits by turning the longtime practice of dose minimization into a requirement. This "As Low As Reasonably Achievable" requirement plays a vital role in rationalizing why a non-zero exposure limit is safe enough despite the fact that the linear no-threshold model treats any amount of radiation as harmful.

Using a Systems Theory approach allows a person to analyze the intertwined elements of the drug development system and the potential influences of the environment. Thomas Hughes's Large Technological Systems (LTS) Theory is one that could be used for this purpose; however, it falls short in its ability to address the complexity of current day regulatory environments. This dissertation provides a critical analysis of Hughes's LTS Theory and his phases of evolution as they apply to the United States (U.S.) system for biologic drug research, development and labeling. It identifies and explains potential flaws with Hughes's LTS Theory and provides suggested improvements. As an alternative approach, this dissertation explores the concept of "techno-regulatory system" where government regulators play an integral part in system innovations and explains why such systems do not always follow Hughes's model. Finally, this dissertation proposes a hybrid version of Hughes's systems approach and uses it to explain the changes that occurred in the drug approval system in response to the push for, opposition, and inclusion of, pediatric research in drug development during the period 1950-2003. / Ph. D.