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The purpose of this study was to understand key challenges in turning strategy to performance, and with that as a fundament suggest a model for the strategy implementation process. The work is based on a theoretical framework that brings together and merges different areas of science to create new synergies and leveraged results. In this case, the area of Strategic Implementation receives added value from mainly Innovation- and Knowledge Management, as aspects of the intersection between Industrial Dynamic and Organizational Behavior. Moreover, due to the strategic focus, additional theory regarding Technology Marketing is also included. Departing from the theoretical framework, an empirical study was conducted by qualitative interviews of two managerial levels at an international conglomerate. The outcome of both theoretical and empirical findings is discussed and analyzed, and results in two main recommendations, addressing the question of how the challenges could be solved with innovation and knowledge management as a fundament for implementation. One of the main recommendations is cyclic implementation routines, advancing in a loop consistent of; Strategic selection; Enabling of effective knowledge acquisition; Implementation; and Learning. The other main recommendation is an Innovative and learning organization, involving Shared vision, leadership and the will to innovate; Appropriate structure; Effective Team Working; Continuing and stretching individual development; Extensive communication; High involvement in innovation; External focus; and a Creative climate. Coherent with these recommendations, a model is presented where the cultural components could be regarded as the fundament of the organization, which is complemented with the learning cycle and regard to the organization’s holistic level of maturity. This model strives to inspire to “manage the flow of organizational culture to make the wheels of implementation routines spin”.

Series: Creative Industries in Vienna: Development, Dynamics and Potentials

The object of this thesis is to analyse how a co-operational network can come about, operate and progress to contribute to industrial dynamics within the locality. The thesis is a case-study of the HomeCom Project, to learn whether this project has the required features to contribute to the clustering process and thus higher levels of industrial dynamics and competitive advantage of the home communications industry in Linköping. The theoretical platform is based on Porter’s Diamond-model, which explains the occurrence of clusters. Theories of external economies complement Porter’s theories, while oligopoly theory will be introduced to offer a different perspective. The empirical findings show that the HomeCom Project may be considered to contribute to the clustering and in consequence promote industrial dynamics and competitive advantage. But there are also difficulties and attitudes that may impede the reaching of the project’s goals.

<p>This dissertation uses the theory of the experimentallyorganised economy (EOE) and competence blocs to analyseeconomic development in the health care industry. The healthcare industry is both important and interesting to study fromseveral points of view. The industry is large, even larger thanthe manufacturing industry, and draws significantresources.</p><p>The theory of the EOE and competence blocs is bothevolutionary and dynamic. It identifies the actors needed foran efficient selection and commercialisation of investmentprojects and the competences needed to support that process.For this, the institutional setting is important in thatinstitutions influence the incentives that guide actors in theeconomy and the nature of competitionthat forces change.</p><p>Four empirical studies are carried out using severalempirical methods to study similar problems, ranging fromeconometric analyses of panel micro data to case studies. Weask if the withdrawal of a major employer (Pharmacia) from aregion (Uppsala) has had a negative effect on employmentgrowth. We then ask if the turnover of establishments has hadany effect on regional employment growth. We find no supportfor the first question. However, the regional turnover ofestablishments is found to have had a positive effect onregional employment growth, illustrating how important thisdynamic is for the economy. In addition, a case study of theintroduction of two almost identical innovations in twodifferent competence bloc environments, that of the US and thatof Sweden, captures the whole process from invention toinnovation and diffusion in the market. We find that without acomplete competence bloc the risk is high of“loosing awinner”. Finally, we study the role of the technologytransfer process from university to industry for thecommercialisation of new inventions. Among other things, thestudy illustrates how institutional changes, such as theBayh-Dole Act, have created positive effects for theeconomy.</p><p>The Experimentally Organised Economy; Competence Blocs;Industrial Dynamics; Health Care Industry; IndustrialTransformation; Regional Turnover of Establishments; CaseStudies; Technology Transfer</p>

<p>The object of this thesis is to analyse how a co-operational network can come about, operate and progress to contribute to industrial dynamics within the locality. The thesis is a case-study of the HomeCom Project, to learn whether this project has the required features to contribute to the clustering process and thus higher levels of industrial dynamics and competitive advantage of the home communications industry in Linköping. The theoretical platform is based on Porter’s Diamond-model, which explains the occurrence of clusters. Theories of external economies complement Porter’s theories, while oligopoly theory will be introduced to offer a different perspective. The empirical findings show that the HomeCom Project may be considered to contribute to the clustering and in consequence promote industrial dynamics and competitive advantage. But there are also difficulties and attitudes that may impede the reaching of the project’s goals.</p>

In this paper we analyse the influence of sector specific developments in productivity and demand on net entry and employment in 19 industrial sectors of the Austrian economy. Based on the model of structural dynamics of Pasinetti, we develop an identification scheme that allows us to extract technology and demand shocks, by means of a structural vector autoregressive (SVAR) model with long-run restrictions. We study the patterns of productivity and demand shocks across industries by means of a principal components analysis and find that sectoral and macro-economic developments in demand strongly correlate, while this is not the case for technology shocks. Impulse-response analysis shows that for almost all sectors productivity growth rates experience an immediate increase to positive technology shocks while the hours worked decline as conjectured by Pasinetti. Finally, we use the identified shocks as explanatory variables in time-series cross-section regressions on net-entry and employment data. Both types of shocks are able to explain dynamics on the industry level in terms of employment and sales but not firm dynamics. (author's abstract) / Series: Working Papers Series "Growth and Employment in Europe: Sustainability and Competitiveness"

L'objet de la thèse est l'étude des dynamiques industrielles, en particulier des biais cognitifs qui conduisent au blocage de ces dynamiques. Si les processus d'innovation dépassant le cadre de l'entreprise ont fait l'objet de diverses recherches, les dynamiques industrielles sont restées peu étudiées sous l'angle du blocage cognitif dans les activités de conception. Pour approfondir cette question, la thèse se focalise sur l'étude d'une phénoménologie nouvelle, l'innovation orpheline, définie comme une innovation très attendue par la société, mais qu'aucun acteur ou consortium d'acteurs n'est capable de générer, alors que les conditions traditionnelles pour favoriser son émergence sont réunies. L'enjeu de la thèse est de répondre à trois questions: Quelle modélisation pour cerner les facteurs causaux de l'innovation orpheline ? ; Quel outil pour diagnostiquer les biais cognitifs dans une situation empirique ? ; Quelles modalités organisationnelles pour sortir de l'innovation orpheline ?Cette démarche a permis de dégager trois résultats principaux :1) un modèle de la fixation cognitive collective, soulignant l'impact fort que peut avoir l'interaction entre les imaginaires singuliers au sein d'un collectif.2) un outil, le référentiel C-K pour identifier la fixation collective et pour diagnostiquer l'innovation orpheline.3) un modèle d'action pour un nouvel acteur, baptisé l'architecte de l'inconnu, en charge de stimuler les capacités de conception innovante de l'écosystème d'acteurs. / The purpose of the thesis is the study of industrial dynamics, in particular cognitive biases that lead to the lock-in of these dynamics. If innovation processes beyond the scope of the firm have been the subject of various studies, little has been done on the study of industrial dynamics from the perspective of cognitive lock in design activities. To explore this question, the thesis focuses on the study of a new phenomenology, orphan innovation, which is defined as orphan innovation as an innovation highly expected by society, but one which no actor or consortium of actors can manage to process with their current innovation capabilities, although all of the institutional conditions to foster it are gathered. The aim of the thesis is to answer three questions: How to model industrial dynamics and to identify causal factors of orphan innovation? How to build a tool to diagnose cognitive biases and orphan innovation in empirical situations? What are the organizational levers to overcome orphan innovation situations?The thesis then is based on three main results:1) a model of collective cognitive fixation, underlying the impact of imaginaries and their interactions among a collective action.2) a methodology to identify collective fixation and therefore to diagnose orphan innovation.3) a model of action for a new actor, called the architect of the unknown, in charge of stimulating innovative design capacities of the actors among the industry.

This dissertation uses the theory of the experimentallyorganised economy (EOE) and competence blocs to analyseeconomic development in the health care industry. The healthcare industry is both important and interesting to study fromseveral points of view. The industry is large, even larger thanthe manufacturing industry, and draws significantresources. The theory of the EOE and competence blocs is bothevolutionary and dynamic. It identifies the actors needed foran efficient selection and commercialisation of investmentprojects and the competences needed to support that process.For this, the institutional setting is important in thatinstitutions influence the incentives that guide actors in theeconomy and the nature of competitionthat forces change. Four empirical studies are carried out using severalempirical methods to study similar problems, ranging fromeconometric analyses of panel micro data to case studies. Weask if the withdrawal of a major employer (Pharmacia) from aregion (Uppsala) has had a negative effect on employmentgrowth. We then ask if the turnover of establishments has hadany effect on regional employment growth. We find no supportfor the first question. However, the regional turnover ofestablishments is found to have had a positive effect onregional employment growth, illustrating how important thisdynamic is for the economy. In addition, a case study of theintroduction of two almost identical innovations in twodifferent competence bloc environments, that of the US and thatof Sweden, captures the whole process from invention toinnovation and diffusion in the market. We find that without acomplete competence bloc the risk is high of“loosing awinner”. Finally, we study the role of the technologytransfer process from university to industry for thecommercialisation of new inventions. Among other things, thestudy illustrates how institutional changes, such as theBayh-Dole Act, have created positive effects for theeconomy. The Experimentally Organised Economy; Competence Blocs;Industrial Dynamics; Health Care Industry; IndustrialTransformation; Regional Turnover of Establishments; CaseStudies; Technology Transfer / <p>NR 20140805</p>

This paper investigates the viability of a machine learning model based on similarities in text structure compared to one based on statistical properties in the text to detect cheating in digital examinations. The machine learning model comparing similarity in text structure used Levenstein distance and the one comparing statistical text properties compared cosine distance between word vectors. The paper also investigates whether security has been a driving force impacting the industrial dynamics of the digitalization of examinations in Sweden. This is done using the multi-level perspective framework and interviewing users of a digital examination platform. The results show that the machine learning model based on statistical text properties has a higher accuracy, recall, precision and F-score. Nothing is concluded from this, however, due to discussion of validity of the results from the machine learning model based on the similarities in text structure. The analysis of the industrial dynamics shows that security has been a driving force towards digitalization.