M.Comm. / Intangible assets are increasingly becoming the critical determinant of value creation and future profitability of most businesses. There is a clear distinction between the accounting treatment of physical assets and are reported on the firm’s balance sheets, but intangible assets are by large written off in the income statement, along with regular expenses such as wages, rents and interest. This distorted treatment of intangibles in an accounting sense, has dire consequences for managers, investors and policymakers relying on financial information, thus giving an extremely limited view of a company’s potential for value creation and are virtually worthless as a basis for assessing the value of intangible assets as a whole. This paper is limited to the valuation of intellectual property and intangible assets not reflected on the balance sheet and is primarily aimed at researching, exploring and identifying various intangible asset valuation techniques used to make investment decisions; the advantages and disadvantages of each valuation method so identified; identifying which one or more of the valuation methods identified is the most appropriate measure to valuate intangible assets; identifying the accuracy of the most appropriate valuation method selected as compared with the other methods. The problems posed by intangible assets appear to be based on two levels. The first is the difficulty to identify, collect and analyse data regarding intangible assets. The second overlapping level is the lack of external financial reporting on intangibles. The problem herein manifests itself in the lack of recognition of the current accounting principles, thus resulting in intangible assets not being systematically reported in financial statements leading to a lopsided view of the assets employed by a company to generate revenues.

Le travail de recherche qui suit vise à l’obtention d’une méthodologie opératoire propre à faire évoluer la culture organisationnelle d’une firme dans le domaine de l’activité inventive, en particulier en opérant un transfert culturel à partir du monde académique. Il s’agit de construire un procédé de recueil et d’explicitation des connaissances inventives ayant abouti à une conception nouvelle, puis à exploiter en interne les résultats de ce premier procédé en appliquant ceux-ci à un second procédé ayant la dimension d’un apprentissage organisationnel. Le dispositif expérimental présenté a visé à réaliser la validation des hypothèses formulées. L’étude de cas dans notre organisation a permis de concrétiser, sur la base du bilan de l’évolution temporelle du patrimoine intellectuel inventif, l’approche de la créativité stimulée par les connaissances dans un cadre limité à trois domaines de connaissance et où l’on vise une innovation incrémentale. Ce mécanisme met en jeu individuellement et collégialement un ensemble d’acteurs impliqués dans l’inventaire préalable du patrimoine intellectuel inventif et dans son évolution stratégique au sens de l’organisation. En outre, ce travail introduit une vision peu commune de l’activité de R & T d’une organisation industrielle, vision où l’approche par la connaissance non contextuelle se substitue aux approches contextuelles usuelles par produits et services. Cette méthodologie opératoire s’appuie sur une approche conceptuelle de la créativité appliquée à la création de connaissances inventives. Cette création de connaissances est interprétée comme une mutation épistémologique déclenchée par la nature profondément paradoxale de la créativité. Le (futur) créateur doit porter en lui l’essence d’une oeuvre constituant la future création, la créativité lui permettant d’identifier cette essence par abstraction et l’inventivité lui permettant de donner performativement une Forme à cette abstraction. La mise au jour de liens puissamment opératoires entre des domaines peu mis en regard jusqu’alors, ceux de la Créativité/Inventivité, du Patrimoine Intellectuel et de l’Ingénierie des Connaissances fournit de solides fondations à l’approche conceptuelle de la création de connaissances inventives, ainsi qu’à de nombreuses perspectives de recherches supplémentaires. / The following research work aims at getting an operational methodology able to make firm’s organizational culture progress in the inventive activity field, especially through a cultural transfer from academic world. The point is first building a process gathering and making explicit inventive knowledge which succeeded in a new design. Then, results coming out of this first process are applied to a second process featuring organizational learning. We described an experimental plan dedicated to the validation of the research hypotheses that we formulated. The case study based on our own organization was the opportunity to get a first operational validation of Knowledge-based innovation method applied to a 3-knowledge domain configuration for incremental innovation. Creativity stimulation was operated through the time-evolution synthesis of intangible inventive intellectual corpus. This mechanism both individually and collectively involves numerous actors already solicited for the preliminary inventory of inventive intellectual corpus and for its strategic evolution according to the firm.Moreover, this work brings an usual view on industrial R & T activity, where non contextual knowledge approach is substituted to conventional contextual approach bases on products. This operational methodology is based on a conceptual approach of creativity applied to the generation of inventive knowledge, which is seen as an epistemological mutation triggered by the most paradoxical nature of creativity. The (future) creator must house in himself the essence of intellectual work which will be the future creation: creativity allows him to identify this essence by abstraction and inventivity allows him to performatively give a Form to this abstraction. By revealing strongly operative links between poorly linked domains(Creativity/Inventivity, Intellectual Corpus, Knowledge Management), solid foundations are brought to the conceptual approach of inventive knowledge generation and to numerous perspectives of extra research.

This research has investigated factors that affect the successful commercialization of intellectual capital. The concept of social constructs of meaning for the interview participants provides the fundamental perspective of this research. The research was undertaken on the basis of a constructivist ontology, the epistemology was interpretivist, and a qualitative methodology was used. A constructivist ontology was selected due to the research aim to understand the perceptions of the interview participants. The interpretivist approach provided the framework to interpret meaning of the perceptions in the appropriate business context. The data collection methods included unstructured interviews of people holding key decision making positions within their organizations. The conceptual nature of intellectual capital and commercialization enabled the research to be viewed from a phenomenological perspective and aspects of grounded theory were applied in seeking meaning from interviewee perceptions to surface a theoretical model. The data analysis included coding of the interview transcripts utilizing NVivo qualitative research software and sorting the data into nodes. The nodes represented categories of information which became the foundations of the constructs. These nodes were examined for relationship and meaning until a theoretical model emerged from the data. The findings culminated in six (6) main constructs which were subsequently aggregated to form a composite model of factors which influence the commercialization process. / In addition a further discovery was made in terms of an `Intellectual Capital Approach' model which enables a classification and hierarchical relationship of intellectual capital to be mapped as a starting point for problem solving and strategy formulation. The results of this research have immediate application to business in terms of informing management about identification of intellectual capital and to consider alternative scenarios for wealth creation by way of commercialization.

Both marketing researchers and practitioners realise that having customer relationships that enhance a firm's competitive advantage is an important strategic issue and that there is a need for relationship value measurement. But the research on relationship value measurement is limited, especially from a seller's perspective, despite numerous calls for it. The reason for the limited research might be that the nature of customer relationships is complex, largely intangible, and long-term oriented. Baxter and Matear's (2004) study directly addresses the issue of the measurement of the intangible part of the value of a business-to-business relationship from a seller's perspective. Synthesising an intellectual capital model into the relationship marketing literature, Baxter and Matear (2004) propose an intangible relationship value (IRV) model for assessing the value of the intangible part of the resources that sellers gain through their relationships with their business buyers. The IRV model has been empirically tested and supported in New Zealand's manufacturing industry. The current study replicated Baxter and Matear's (2004) study in order to further assess the validity of the IRV model and its scales. Exploratory factor analysis was used first to identify the dimensionality of the IRV. Then the four aspects of construct validity - reliability, and convergent, discriminant, and nomological validities - were examined. The exploratory factor analysis of the focal relationship value items in the questionnaire found six first-order dimensions of the IRV. As expected, these six first-order value dimensions are the same as in the Baxter and Matear (2004) study: competence, attitude, intellectual agility, relationships, organisation, and renewal and development. Further exploratory factor analysis of the summated scales of these six first-order values found two higher-order value dimensions: the human intangible value dimension and the structural intangible value dimension. Thus the dimensionality of the IRV model is supported in the current study. The exploratory factor analysis retained 36 out of the initial 42 measures developed by Baxter and Matear (2004). These 36 retained measures include 20 of the 22 measures in Baxter and Matear's (2004) final purified scales. The validity of these 36 measures was then further investigated. The reliability examination found that the measurements of the six first-order IRV constructs are reliable in the current study. Evidence was also found for the convergent and discriminant validities in the measurements of the human and structural intangible value, the convergent validity in the measurement of the IRV, and the nomological validity of the IRV construct. Thus, the 36 measures retained in the final results of the current study are valid for the respondents in the current study. The findings suggest that Baxter and Matear's (2004) intellectual capital approach to measuring IRV is appropriate. It has potentially provided a way to assess intangible value in relationships. Based on the dimensions and the measures provided by the IRV model, sellers can systematically assess the potential IRV of their current and potential customer relationships, and make their strategic decisions on how to manage these customer relationships accordingly.

The volatility of share prices is an important variable in most asset pricing models and option pricing formulas.Valuation of volatility of share prices have become a major challenge with the development of the knowledge-driven economy as evidence suggest that not all elements of company wealth are physical in nature. The purpose of this project entitled “The intensity of the firm’s intangible asset on the volatility of their stock price” is to check if the intensity of intangible assets in a firm’s balance sheet affects the volatility of their stock price. A brief overview of intangible assets is also included in this study. An OLS regression was run and the results of the entire data set gives a negative correlation between intensity of intangible assets and volatility of stock prices probably due to the fact that the volatility of the firm share prices are driven by uncertainty and expectation of future growth. An industry-grouping regression was carried out, the results shows that for basic pharmaceuticals there is a positive correlation between the intensity of intangible assets and their price volatility while the other three industry groups produce a negative correlation. The study relies on secondary data of randomly selected fourty (40) publicly traded companies in Europe from four different industry groupings namely: manufacture of basic pharmaceuticals, manufacture of food products and beverages, information technology and manufacture of basic metals.

Thesis (Ph. D.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains vii, 136 p. : ill. (some col.). Includes abstract. Includes bibliographical references.

Both marketing researchers and practitioners realise that having customer relationships that enhance a firm's competitive advantage is an important strategic issue and that there is a need for relationship value measurement. But the research on relationship value measurement is limited, especially from a seller's perspective, despite numerous calls for it. The reason for the limited research might be that the nature of customer relationships is complex, largely intangible, and long-term oriented. Baxter and Matear's (2004) study directly addresses the issue of the measurement of the intangible part of the value of a business-to-business relationship from a seller's perspective. Synthesising an intellectual capital model into the relationship marketing literature, Baxter and Matear (2004) propose an intangible relationship value (IRV) model for assessing the value of the intangible part of the resources that sellers gain through their relationships with their business buyers. The IRV model has been empirically tested and supported in New Zealand's manufacturing industry. The current study replicated Baxter and Matear's (2004) study in order to further assess the validity of the IRV model and its scales. Exploratory factor analysis was used first to identify the dimensionality of the IRV. Then the four aspects of construct validity - reliability, and convergent, discriminant, and nomological validities - were examined. The exploratory factor analysis of the focal relationship value items in the questionnaire found six first-order dimensions of the IRV. As expected, these six first-order value dimensions are the same as in the Baxter and Matear (2004) study: competence, attitude, intellectual agility, relationships, organisation, and renewal and development. Further exploratory factor analysis of the summated scales of these six first-order values found two higher-order value dimensions: the human intangible value dimension and the structural intangible value dimension. Thus the dimensionality of the IRV model is supported in the current study. The exploratory factor analysis retained 36 out of the initial 42 measures developed by Baxter and Matear (2004). These 36 retained measures include 20 of the 22 measures in Baxter and Matear's (2004) final purified scales. The validity of these 36 measures was then further investigated. The reliability examination found that the measurements of the six first-order IRV constructs are reliable in the current study. Evidence was also found for the convergent and discriminant validities in the measurements of the human and structural intangible value, the convergent validity in the measurement of the IRV, and the nomological validity of the IRV construct. Thus, the 36 measures retained in the final results of the current study are valid for the respondents in the current study. The findings suggest that Baxter and Matear's (2004) intellectual capital approach to measuring IRV is appropriate. It has potentially provided a way to assess intangible value in relationships. Based on the dimensions and the measures provided by the IRV model, sellers can systematically assess the potential IRV of their current and potential customer relationships, and make their strategic decisions on how to manage these customer relationships accordingly.

Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xii, 144 p.; also includes graphics (some col.). Includes bibliographical references (p. ). Available online via OhioLINK's ETD Center

Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: D. Eric Hirst. Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Alberta, 2000. / Includes bibliographical references (leaves 160-179).