The purpose of this study is to examine the work environment of research and development (R & D) subsystems and ascertain the relationship between technological innovation and the work environment. The focus of the study is the semiconductor industry, (SIC 3674), which is a prime example of a rapid growth, research intensive industry. The industry, in the past decade, has been characterized by very rapid technological advances with a subsequent high growth rate for most firms in the industry. Two instruments were developed to measure technological innovation. The first instrument, the innovation index, estimated the actual innovations developed by each company since 1970. The index consisted of a comprehensive list of technological innovations that could have been adopted and developed by the companies in the industry. The second instrument, the perceived innovativeness questionnaire, assessed company innovativeness as perceived by the R & D personnel. The R & D work environment was assessed with the work climate questionnaire which consisted of ten work climate dimensions, selected for their theoretical relevance and importance in the light of prior research on innovation. These dimensions were: autonomy, cooperation, supportiveness, structure, level of reward, performance-reward dependency, achievement motivation, status polarization, flexibility and decision centralization. Interviews were conducted as part of the research study to provide information on the development of innovations in the semiconductor industry and, secondly, to determine what changes, if any, had occurred in the nature of the work environment of the R & D subsystems of the semiconductor companies. Data for the study were collected from eight semiconductor companies (SIC 3674). Respondents included all the vice presidents for the R & D subsystems of the companies and a total of 136 research and development personnel from the eight companies. Content analysis of the interviews suggests that: (1) innovation development in the semiconductor industry is perceived as a multiphased process rather than a single event. This process consists of three stages: idea generation and evaluation (initiation stage); approval and adoption stage; and development and implementation stage; and (2) the work environment of the R & D subsystem is characterized by relative stability of work climate over a period of time. Statistical analyses of the data offer some support for the view that technological innovation is related to the R & D subsystem work climate. Significant positive relations were found between technological innovation and the work climate dimensions of performance-reward dependency, flexibility, achievement motivation, autonomy, cooperation, supportiveness and perceived innovativeness; significant negative relationship was found between technological innovation and decision centralization. Work climate differences between the high innovative group and low innovative group showed significant differences between the two groups in the work climate dimensions of autonomy, performance-reward dependency, achievement motivation, flexibility, decision centralization and perceived innovativeness. The results of the study suggest that: (1) technological innovation is related to R & D subsystem work climate; (2) the nature of work climate that characterizes the R & D subsystems of highly innovative companies is different from that which characterizes their less innovative counterparts.

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Small entrepreneurial businesses are widely regarded as important contributors to the economic well-being of countries all over the world as they create value for both the entrepreneur and the economy in which they operate. The value creation process in these businesses often differs from what commonly happens in larger established businesses. Resources available to the entrepreneur are normally much more restricted and decisions are often based on limited information. This thesis focuses on the value that is created by technology-based entrepreneurial businesses, the leveraging of limited resources and the decision-making orientation they adopt during this process. Given the importance of technology-based entrepreneurial businesses in contributing to economic growth and job creation in most global economies, as well as the limited previous research conducted amongst these businesses, the purpose of this study was to identify the human and social capital factors influencing value creation in technology-based entrepreneurial businesses. With this purpose in mind, the primary objective was to identify, investigate and empirically test the relationships between the various identified factors and Perceived value creation in technology-based entrepreneurial businesses, taking into account their decision-making orientation, as well as the uncertain environment under which they operate. This study uses the Resource-Based View of the business as the basis of its theoretical orientation. The literature review revealed five main categories of constructs, namely Knowledge and skills, Experience, Networks, Decision-making orientation and Perceived environmental uncertainty influencing the dependent variable Perceived value creation in technology-based entrepreneurial businesses. Knowledge and skills, Experience and Networks were identified as independent variables while Decision-making orientation was identified as the mediating variable and Perceived environmental uncertainty as the moderating variable. Six demographic variables (type of industry, age of business, number of employees, age of entrepreneur, academic qualifications of entrepreneur and the number of previous businesses started by the entrepreneur) were also identified as potential influencing factors. Various hypotheses were formulated to be tested during the empirical investigation. Each construct was clearly defined and then operationalised. Operationalisation was done by using reliable and valid items sourced from tested measuring instruments used in previous studies, as well as a number of self-generated items based on secondary sources. A structured questionnaire was made available to respondents identified by means of the convenience snowball sampling technique, and the data collected from 313 usable questionnaires was subjected to various statistical analyses. An Exploratory Factor Analyses (EFA) was conducted which confirmed the different variables, and Cronbach-alpha coefficients were calculated to confirm the reliability of the measuring instrument. Structural Equation Modelling (SEM) was the main statistical procedure used to test the significance of the relationships hypothesised between the various independent, mediating, moderating and dependent variables. A number of different models were tested, and the results discussed and explained. The main finding of the study was that technology-based entrepreneurial business can create financial and non-financial value by adopting a decision-making orientation in the business of co-creating the future with other stakeholders. The most important human and social capital factors that influence the decision-making orientation of these businesses are Knowledge and skills, Unstructured networks and Structured networks. The main limitations of the study were firstly the convenience snowball sampling technique used to collect responses, secondly the dependence of reporting on organisation issues by individuals, and thirdly the limited number of influencing factors included in the models. Future research should address these limitations, and could include qualitative analyses. This study has added to the empirical body of knowledge on entrepreneurship research by investigating a particularly important segment of the literature, namely technology-based entrepreneurial businesses. By identifying and developing various models that outline the most significant factors that influence perceived value creation in technology-based entrepreneurial businesses, this study offers recommendations and suggestions for managing these businesses in such a way as to improve the creation of financial and non-financial value in them. It further provides recommendations for business teaching programmes to enhance curriculums by focusing on alternatives to the format of formal business planning.

New innovative products are being designed while the user interface of existing products is constantly being revamped to give them a new look. All this is an effort to bring a satisfactory interacting experience for the user. However, in most cases users do not feel that they experience that benefit. The introduction of a new product, or the enhancement of the functionality and user interface of an existing product, often faces criticism and brings resistance to the acceptance and usage of the product by the users. Therefore, the change in user interface or introduction of new products does not only affect the business processes but also the lifestyles of the users, as well as their overall user experience. One of the most important components for the success of any product is a positive user experience. User experience refers to the subjective feeling of the user that results from their interaction or intention to interact with a product in order to perform a specific task in a specific environment. When the user interface and functionality of a product match the expectations of the users and make the users effective and efficient, feel safe and attain some level of self-worth from using or possessing the product, their interaction with the product becomes more satisfactory. User experience practitioners are in agreement that a change to the user interface influences the user experience of the people when interacting with the product; hence it affects change in the user experience of the people. A vast body of literature exists on the methods for evaluating user experience as well as on the principles that are aimed at guiding the design of products for a positive user experience. However, there is a lack of a means to manage this change in user experience that results from the changes in the features of the user interface or the product functionalities. This inadequacy opens up the potential for integrating change management principles in order to manage user experience. However, existing change management principles do not address the user experience aspects when managing change. Following the above premise, this study focused on the development of a model for managing user experience: the User Experience Management Model (UXM2). The UXM2 infers its components from the disciplines of user experience and change management. Its uniqueness is seated in its people-centred approach that aims to effect a free-will change in the individuals towards a long-term positive user experience. The proposed model further aims to promote the voluntary acceptance of a product, which is contrary to the mandatory change that is guided by the policies of the organization, as discussed in the study. The UXM2 was developed from a thorough argumentation of literature on user experience and change management. The components that were required for development of the model were identified from literature, and were evaluated for their relevance by means of academic publications in subject domain international conferences. The academic publications underwent double-blind peer review with subject domain experts. The model was evaluated for its relevance and potential applicability through interviews and discussions with subject domain experts. The subject domain experts consist of user experience practitioners and academic professionals in the domain of HCI. The subject domain experts also evaluated the model by means of an evaluation tool comprising of a Likert scale rating of the proposed components and related activities for managing user experience. The target users of the UXM2 are user experience practitioners and product developers who aim to promote a sustainable long-term positive user experience for the people interacting with their products. The UXM2 is aimed at being used for the design of products that are meant for institutional use, personal use, mandatory use and optional use. It is believed that adoption of the UXM2 will promote acceptance of the product by users, with an associated sustainable positive long-term user experience.

Increased competition, rapidly changing technology and customer expectations have caused the innovation process to become more complex and uncertain. This study examines the possible benefits of integrating some of the concepts of risk management into the innovation project. However, adopting rigorous risk management at every stage of the innovation process could be costly: some risk management could be valuable, but too much, or inappropriate risk management might stifle innovation. There are many separate models for innovation and risk management. This study develops a combined theoretical model which aims to help the understanding of appropriate risk management in innovation. The theoretical model is based on the classic innovation process but emphasises critical decision points and information needs at various stages, with various possible contributions from risk management. The stage-gate innovation process model, with its emphasis on decisions, provides a basis for incorporating risk management with decisions related to criteria and information needs; this stage-gate model was employed in the study as the core of a theoretical model combining innovation and risk management. The theoretical model was tested in a series of empirical case studies in the United Kingdom and Iran. These involved 40 detailed interviews in five medium-large companies from a variety of industries. The case studies suggest that the combined model of risk and innovation management should be relevant across diverse industries: staff from different countries (UK and Iran), industries and functional backgrounds could all relate to it and the theoretical model provided a useful structure for developing a more detailed understanding of the possible roles and implementation of risk management in innovation. The study suggests that there is no simple guidance that companies can apply in all situations. The choice of risk management techniques varies with different innovation projects, the characteristics of the particular industry and the environment. In addition, different aspects of the risk management system are useful in different stages of the innovation project and attempting to apply a standard technique throughout the innovation project could lead to failure. A prime example is in the creativity stage: simple risk identification at this stage may be useful but more rigorous risk analysis may be stifle creativity. More rigorous risk analysis may be more appropriate in the later stages of the innovation process. Companies can use this theoretical model to help people appreciate the possible contribution of risk management at the different stages of the innovation project.

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In a technology driven world, technology acquisition decisions as to when and which new technologies to acquire are becoming increasingly critical for firms to survive and grow. The issue of technology acquisition is addressed with three different focuses in the current dissertation. / In the first essay, we extend the results of some existing literature. Existing literature suggests that, in an oligopoly, identical firms acquire the same technology at two different dates under Nash or pre-commitment equilibrium, which assumes infinite information lag between two firms. The set of equilibrium dates turn out to be different under subgame perfect or pre-emption equilibrium that assumes zero information lag. We show that allowance for asymmetry between firms leads to the same equilibrium dates under Nash and subgame perfect equilibrium. / In the second essay, a two-period technology game is considered to study the effect of expectations regarding technological progress on a firm's technology adoption decision in a duopoly. It is shown that expectations of better future technology retard adoption of the currently available technology. Uncertain future progress is shown to have either no effect or negative effect on the adoption of the currently available technology when a Nash or open-loop equilibrium holds. However, under subgame perfection, uncertainty may actually encourage adoption of the current technology, contrary to what literature suggests. / In the third essay, a stochastic mathematical programming framework is used to build a decision model to solve for technology decisions facing rapid and uncertain technological progress. In our scenario-based approach, we allow uncertainties in both technological developments as well as in output product market demands. Furthermore, the acquisition costs of the technologies are assumed to be concave to reflect economies of scale in acquisition. An efficient procedure to solve the problem is proposed and implemented. Our numerical results show that the expectation of future technologies impacts the acquisition of the current technology in a negative way, and highlights the importance of incorporating expectations in a technology acquisition model.

M.Ing. (Engineering Management) / It is apparent that understanding the link between the role of innovation in competitiveness and economic development is essential. This is because innovation ultimately holds the key to addressing the most pressing social and human challenges of nations. In the past, some organizations viewed research and development (R & D) as an intangible process that is difficult to manage and measure. However, the upsurge in enabling technologies such as the internet is changing such perceptions of managing R & D processes, which is now moving from a technology-oriented model to one that is more interactive and collaborative. Moreover, organizations that have a clear understanding of R & D management have great successes in exploiting it to speed up the commercialization of new technologies that enable them to achieve numerous competitive benefits such as first-to-market advantages, greater market shares for their innovations, premium prices and dominant designs relative to their counterparts. While it is evident that there is increased focus on fine-tuning R & D management processes, the majority of these efforts were confined to the USA, Europe, Asia and other developed economies, with limited developments in the less developed economies like those in Africa. This dissertation explores the five generations of R & D management practices and attempts to predict the best practices that managers will adopt in the R & D sixth generation. The findings suggest that the sixth generation will be characterized by greater multi-disciplinary approaches emphasizing cross-functional communication, collaboration, as well as greater inclusion of stakeholders such as suppliers, customers and partners in the full life cycle of R & D process.

M.Tech. (Operations Management) / Please refer to full text to view abstract