Globalization and the new knowledge economy have far-reaching implications for higher education mainly in the economic, political, social and technological aspects of knowledge production. Higher education institutions are the main providers of both knowledge and knowledge workers. While research and teaching are the main processes for producing knowledge at colleges and universities (Clark, 1983), information technology has been an enabling infrastructure for globalization and the main vehicle for the dissemination of knowledge as well as for facilitating knowledge in becoming a commodity (Altbach, 2006; Altbach & Teichler, 2001; McBurnie, 2001). This has led to the penetration of higher education institutions by market forces and the business sector. The commercial value of these knowledge assets in the new knowledge economy has brought economic, political, and social implications for higher education institutions. Now, they seek to strategically manage their organizational knowledge (Metcalfe, 2006; Trow, 2001). Information technology has become embedded in higher education's knowledge production and has led to reorganization of conventional academic structures, faculty work, and teaching practices.This research addresses diverse fields of study such as organizational change, sociology of organizations, and political economy of organizations, and focuses on a single developing country. The structurational model of technology, the power-process perspective of technology, the theory of academic capitalism, and the framework for strategic management of intellectual capital were joined in this study to examine: (a) the intellectual capital created through instructional production and delivery of information technology enhanced courses and its strategic management; and (b) the impact of information technology on the organization of higher education and faculty's academic work with regard to instructional production and delivery.Findings show that information technology is not regarded as an opportunity to develop intellectual capital; thus, dependency on foreign technology is favored. An academic capitalist knowledge/learning regime is still incipient in developing countries; therefore, intellectual property policies and commercialization of intellectual assets are new to higher education institutions. The vast majority of these institutions are teaching-oriented; hence, the incorporation of information technology has re-structured their organization and in turn had an impact on managerial capacity, academic work and the academic profession.

This paper presents an empirical analysis of top executive compensation from intellectual capital perspective using data from US listed companies and aims to examine whether executives get appropriate compensation. I propose a pay-contribution compensation scheme and extend previous research on agency theory, by exploring how executive compensation contract design may be based on the firm’s intellectual capital (IC). Such features would serve the core purpose of compensation design, which is to create long-term firm value. But inappropriate compensation scheme cannot motivate individual ICs to contribute fully and deteriorate firm value eventually. I view CEO, CFO, COO, CMO, CSO, CTO, CHOs as individual intellectual capital of firms, and through examining key indicators from financial contribution, organizational contribution, relational contribution and growth contribution, I find that their total compensations, total incentive compensations and total cash compensations are not significant on their functions for all executives, implying that free rider problem may exist. I conduct two steps regression models: the first step is to reveal free-rider problem based on the significant relationship between executive compensation and his/her role contribution, and the second step is to examine whether executive compensations rewarded by his/her role contribution have significant influence on firm valuation. The outcome of model 1 shows that CEO and CSO have no free-rider problem, while CTO and CHO may have potential free-rider problem, CFO and CMO may have the risk of free-rider problem, and COO may have moderate free-rider problem. The outcome of model 2 shows that CEO and CFO compensation rewarded by role contribution have significant influence on firm valuation; COO, CMO and CHO compensation rewarded by role contribution have moderate influence on firm valuation; while CTO compensation rewarded by role contribution have little influence on firm valuation and CTO compensation rewarded by role contribution have no influence on firm valuation. My result is consistent with agency theory since free rider may cause executive inertia, reduce individual IC productivity, and impair firm value. The findings suggest that pay-contribution compensation contracts and remuneration schemes focus on different executive positions and strategic roles of individual intellectual capital to avoid free rider problem.

A firm�s relationships with its customers contribute to its organizational capital and represent an important part of its shareholder value, so the nature of the value in these relationships needs to be understood well and managed carefully. Marketing managers therefore require techniques that will assess relationship value comprehensively in order to manage their portfolio of customer relationships effectively and in order to argue for a sufficient share of the firm�s resources to develop these market based assets for competitive advantage. At present, there is a well-established technique for assessing customer profitability analysis which assigns revenues, expenses, assets and liabilities to customers and algebraically sums their value to reach a profitability figure for each customer. However, even in its more sophisticated forms, the primary focus of customer profitability analysis as it is currently used tends to be the management of profitability by way of the management of existing situations, and particularly of cost, rather than the management of the value that is potentially available in the future from the intangible aspects of a relationship. Without knowledge of the dimensions of intangible value in the relationship, the technique is restricted to assessing those relationship aspects that can be easily quantified in dollar terms by the modification of existing accounting information. This leaves a gap in the available toolbox for managers in assessing relationship value, because much of the value of a relationship may be in its intangible aspects, which at present can not be readily assessed other than by a manager�s experience and intuition. In order to develop techniques specifically for intangible value assessment, it is necessary to understand the dimensions of this intangible value. Development of scales to measure the dimensions of this intangible relationship value and development of an understanding of its structure is thus a useful research goal, which is supported by calls in the literature for the quantification of market-based assets and their value Elucidation of the dimensions and structure of intangible relationship value is therefore the goal of this thesis. Although there are recent reports in the literature of studies that include the intangible aspects of relationship value, most of those that have been conducted in a business-to-business context appear to be primarily concerned with investigating the drivers of value rather than its dimensions, and those that deal with the business-to-consumer context describe techniques to assess the aggregated value of many consumers, rather than an individual buyer as is required for business-to-business applications. The thesis therefore proposes a conceptual framework, synthesised from the intellectual capital literature, which provides a set of six dimensions and a structure of intangible business-to-business buyer-seller value. The six proposed dimensions are unique in that they cover the human aspects of the relationship extensively. The thesis describes the testing of the proposed conceptual framework. This was achieved primarily by the use of the structural equation modelling technique on survey data that was collected from managers in the New Zealand manufacturing industry, following qualitatively analysed interviews with managers. The tests support the framework and its value dimensions. The thesis therefore concludes that this research provides a contribution to the literature on value assessment and that future research should be conducted to validate its findings.

Assignment (MPhil)--University of Stellenbosch, 2007. / On title page: Master of Philosophy (Information and Knowledge Management. Bibliography. Also available via the Internet.

Thesis (Ph.D.)--George Washington University, 2002. / Includes bibliographical references (leaves 228-248).

Thesis (M.A.)--Carleton University, 2002. / Includes bibliographical references (p. 72-76). Also available in electronic format on the Internet.

Thesis (MA)--Stellenbosch University, 2000. / ENGLISH ABSTRACT: Knowledge workers are a relatively new phenomenon that has until recently been scarcely researched. Within the intellectual capital metaphor and under the title of knowledge management, knowledge workers are being researched. Knowledge workers are critical elements in knowledge creation and capitalisation. Knowledge workers are important human resource capital that can create a competitive advantage for organisations. After the completion of a series of questionnaires by workers, certain knowledge worker characteristics have been identified with correlation with a knowledge worker measurement index. These characteristics have been used to formulate implications and recommendations regarding the management of knowledge workers in the postmodern knowledge era. It is necessary that management understand the knowledge worker within the intellectual capital metaphor and knowledge management tradition, so that the knowledge worker can be capitalized to a maximum. / AFRIKAANSE OPSOMMING: Kenniswerkers is 'n redelike nuwe fenomeen wat tot dusver betreklik min nagevors is. Binne die intellektuele kapitaal-metafoor en onder die vaandel van kennisbestuur, word die bestuur van kenniswerkers in die navorsing onder die soeklig geplaas. Kenniswerkers IS kritiese elemente III kennisskepping en -kapitalisering. Kenniswerkers is belangrike menslike hulpbronkapitaal wat vir die organisasie 'n kompeterende voordeel kan verskaf. 'n Reeks vraelyste is aan werknemers gegee en kenniswerkereienskappe is geïdentifiseer d.m.v. korrellasie met 'n kenniswerker-metingsindeks. Hierdie eienskappe is gebruik om afleidings en aanbevelings te maak vir die bestuur van die kenniswerker in die post-moderne kennisera. Dit is nodig dat bestuur die kenniswerker binne die intellektuele kapitaal-metafoor en kennisbestuurstradisie verstaan, sodat die kenniswerker as kritiese hulpbron maksimaal gekapitaliseer kan word.

Small and medium enterprises (SMEs) play a significant role in Europe's economy. Since SMEs have distinct organisational practices and structures (e.g. owner-run, continuity over several generations, regional engagement), their intellectual capital (IC) differs from large enterprises. However, there is little research on IC in SMEs. Placing special attention on the craft industry, this research aims at closing this gap. It will present a cross-disciplinary review of research on craft to explore the role of knowledge and human capital in the craft industry. The findings point to overall characteristics which can guide future research and inform policy-making in the craft industry.

It has become generally accepted to refer to today‟s global economy as a knowledge-based economy, since knowledge has increasingly become the resource, instead of a resource for wealth creation. The ability of businesses to harness the potential of intangible assets such as knowledge has become far more decisive than their ability to manage physical assets. In the implementation of knowledge management activities, knowledge sharing is recognised as an integral task and key enabler of knowledge management. Although knowledge sharing is regarded as one of the most crucial factors in the effective management of knowledge, in knowledge-intensive businesses in particular, it has also been established that most employees are reluctant to share knowledge. Research further confirms that the factors that promote or discourage knowledge-sharing behaviour in businesses are poorly understood and that knowledge management systems fail as a result of the misunderstanding of individual characteristics that could influence knowledge sharing. Moreover, the focus of knowledge-sharing literature, in terms of the unit of analysis, is rarely at an individual/micro level, although the role of individuals in the knowledge-sharing process is critical as tacit knowledge resides within the individual and knowledge sharing starts with individuals. Given the importance of understanding knowledge sharing of individuals in knowledge-intensive businesses – but noting the lack of existing systematic, integrated research that focuses on individual-related factors influencing knowledge sharing – the purpose of this study was to fill the gap in the current literature. As such, the primary objective of this research was to identify and empirically investigate the individual-related factors influencing the Knowledge-sharing intention of individual employees in knowledge-intensive businesses. The literature review revealed twelve constructs, namely Individuals’ awareness, Intrinsic motivation, Extrinsic motivation, Transactional psychological contract breach, Relational psychological contract breach, Relationship conflict, Task conflict, Extraversion, Neuroticism, Openness to experience, Agreeableness and Conscientiousness that could influence the dependent variable Knowledge-sharing intention in knowledge-intensive businesses. Various moderating relationships between the dependent and independent variables were also proposed, while seven demographic variables (Age, Gender, Language, Highest qualification, Ethnic background, Organisational tenure and Job tenure of the respondent) were identified as potential control variables. Each construct in the hypothesised model of individual-related factors influencing Knowledge-sharing intention was defined and operationalised using items sourced from validated measuring instruments in previous studies. Several self-generated items based on secondary sources were also formulated. A structured questionnaire was made available to respondents identified by means of the convenience sampling technique, and the data collected from 597 usable questionnaires was subjected to various statistical analyses. An exploratory factor analysis (EFA) was conducted which confirmed the unique factors present in the data, 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 and dependent variables. A subset of SEM, namely general linear modelling (GLM) was used to determine the influence of selected demographic variables on Knowledge-sharing intention and to assess various moderating relationships as proposed in the hypothesised model. The main findings of this study were that personality traits are strong predictors of individual employees‟ willingness to share knowledge, and that the maturity of individuals, in terms of realising the significance and value of sharing their knowledge with others, and in recognising the intrinsic benefits of sharing, influence Knowledge-sharing intention. The main limitations of the study were the use of a convenience sampling technique to collect the data, as well as the dependence of self-report by respondents, which could lead to response bias. This study has added to the body of knowledge management research, in particular knowledge-sharing research, by investigating selected individual-related factors influencing the Knowledge-sharing intention of individuals in a particular subset of businesses, namely knowledge-intensive businesses, and focusing on a particular type of knowledge, namely tacit knowledge. From a business‟s perspective, this study offers recommendations and suggestions for managing these individual-related factors in such a way as to increase knowledge sharing among employees, and as a result, the effectiveness and competitive advantage of knowledge-intensive businesses.

Thesis (MTech (Business Information Systems))--Cape Peninsula University of Technology, 2017. / The aim of this study was to explore the social determinants for the institutionalisation of knowledge sharing within an organisation. Institutionalisation offers stabilising benefits and contributes to nurturing a culture of knowledge sharing. Systematic sharing of knowledge cannot take place unless there are procedures, policies and guidelines for knowledge sharing. Giddens’s concept of duality of structure was used as the theoretical lens. Institutionalisation is considered to be rules that are shared and that recognise categories of social actors and their applicable activities or relationships (Barley & Tolbert, 1997). Challenges arise when knowledge sharing is not as efficient as it should be due to many constraints. One of them is inadequate procedures and policies for knowledge sharing. Systematic sharing of knowledge cannot take place unless there are procedures, guidelines and policies for knowledge sharing (Riege 2005). Sharing of knowledge cannot be effective if suitable procedures and processes are not in place (Riege, 2005:28-32). The research used a mixed method approach and employed an interpretive case study methodology. A focus group was conducted from a qualitative stance, followed by a survey from a quantitative perspective with senior, medium and junior-level staff members working within the Development Information and Geographic Information Systems department of a selected municipality in the Western Cape, South Africa. The sample represents a hundred percent of the population being all sixty staff members for the DI & GIS department, from which seven were used for the focus group from the qualitative perspective and the remainder for the quantitative survey. For the qualitative side, content analysis was used to analyse data generated from the focus group, while a descriptive statistical analysis was employed to analyse the data gathered from the quantitative survey. The findings suggest that organisational structure, policies, processes, corporate governance and technology are major enablers for the institutionalisation of knowledge sharing in an organisation. Management support and organisational culture were also recognised as social factors for knowledge sharing institutionalisation. New strategies for reinforcing efforts to nurture and invigorate the institutionalisation of knowledge sharing within an organisation were generated and presented as a general framework.