Identificação de Indicadores de Medição de Conhecimento de Membros do Corpo Docente das Universidades do Irã

Identifying and controlling knowledge assets is essential for any organization, and proper utilization of this capital, in the presence of appropriate criteria and indicators, will affect the performance and not merely a qualitative assessment. Therefore, the researchers seek to identify the indicators of knowledge measurement of faculty members in Iran's universities. The present research, based on the objective, is a fundamental research component, based on the nature is the descriptive research component and based on the type of argument, is a component of qualitative research. The data collection method is library resources and questionnaires and the technique used is Fuzzy Delphi method. The Delphi panel was established with 17 faculty members who were selected by a judiciary. The results of the research showed that among 61 indicators extracted from theoretical literature, two index such as: guidance the undergraduate theses and the ratio of postgraduate students to total students, do not affect the knowledge measurement of human resources at universities in Iran, and there are consensus about other indicators.Identificar y controlar los activos de conocimiento es esencial para cualquier organización, y la utilización adecuada de este capital, en presencia de criterios e indicadores apropiados, afectará el rendimiento y no meramente una evaluación cualitativa. Por lo tanto, los investigadores buscan identificar los indicadores de medición del conocimiento de los miembros de la facultad en las universidades de Irán. La presente investigación, basada en el objetivo, es un componente de investigación fundamental, basado en la naturaleza es el componente de investigación descriptiva y en función del tipo de argumento, es un componente de la investigación cualitativa. El método de recolección de datos son los recursos de la biblioteca y los cuestionarios, y la técnica utilizada es el método Fuzzy Delphi. El panel de Delphi se estableció con 17 miembros de la facultad que fueron seleccionados por un poder judicial. Los resultados de la investigación mostraron que entre 61 indicadores extraídos de la literatura teórica, dos índices tales como: orientación de las tesis de pregrado y la proporción de estudiantes de postgrado a estudiantes totales, no afectan la medición del conocimiento de los recursos humanos en las universidades de Irán, y hay consenso sobre otros indicadores.Identificar e gerenciar ativos de conhecimento é essencial para qualquer organização e utilização adequada desta capital, na presença de critérios e indicadores apropriados, irá afetar o desempenho e não apenas uma avaliação qualitativa. Portanto, os pesquisadores buscam identificar indicadores de medição de conhecimento dos membros do corpo docente nas universidades iranianas. Esta pesquisa, com base no objetivo, é um componente da investigação fundamental, com base na natureza do componente é pesquisa descritiva e, dependendo do tipo de argumento, é um componente da pesquisa qualitativa. O método de coleta de dados são os recursos da biblioteca e os questionários, e a técnica utilizada é o método Delphi Difuso. O painel Delphi foi estabelecido com 17 membros do corpo docente que foram selecionados por um judiciário. Os resultados da pesquisa mostraram que entre 61 indicadores extraídos da literatura teórica, dois índices, como a orientação de teses de graduação e a proporção de estudantes de pós- graduação para o total de alunos não afetar a medição de conhecimento de recursos humanos em universidades no Irã, e há consenso sobre outros indicadores

An alternative approach to firms’ evaluation: expert systems and fuzzy logic

Discounted Cash Flow techniques are the generally accepted methods for valuing firms. Such methods do not provide explicit acknowledgment of the value determinants and overlook their interrelations. This paper proposes a different method of firm valuation based on fuzzy logic and expert systems. It does represent a conceptual transposition of Discounted Cash Flow techniques but, unlike the latter, it takes explicit account of quantitative and qualitative variables and their mutual integration. Financial, strategic and business aspects are considered by focusing on twenty-nine value drivers that are combined together via “if-then” rules. The output of the system is a real number in the interval [0,1], which represents the value-creation power of the firm. To corroborate the model a sensitivity analysis is conducted. The system may be used for rating and ranking firms as well as for assessing the impact of managers’ decisions on value creation and as a tool of corporate governance.Firms’ evaluation, fuzzy logic, expert system, rating, acquisition, sensitivity analysis

Rating and ranking firms with fuzzy expert systems: the case of Camuzzi

In this paper we present a real-life application of a fuzzy expert system aimed at rating and ranking firms. Unlike standard DCF models, it integrates financial, strategic and business determinants and processes both quantitative and qualitative variables. Twenty-one value drivers are defined, concerning the target firm (strategic assets in place and expected financial performance), the acquisition (synergies, quality of management) and the sector (intensity of competition, entry barriers). Their combination via “if-then” rules leads to the definition of an output represented by a real number in the interval [0,1]. Such a number expresses the value-generating power of the target firm inclusive of synergies with the bidder (Strategic Enterprise Value). The system may be used for rating and ranking firms operating in the same sector. A regression analysis using hostile takeovers multiples may be employed to translate the score into price. The real-life case refers to Camuzzi (a natural gas distributor), acquired by Enel, the Italian ex monopolist of electric energy.Corporate finance, firm, rating, ranking, expert system, fuzzy, evaluation

Rating and ranking firms with fuzzy expert systems: the case of Camuzzi

In this paper we present a real-life application of a fuzzy expert system aimed at rating and ranking firms. Unlike standard DCF models, it integrates financial, strategic and business determinants and processes both quantitative and qualitative variables. Twenty-one value drivers are defined, concerning the target firm (strategic assets in place and expected financial performance), the acquisition (synergies, quality of management) and the sector (intensity of competition, entry barriers). Their combination via “if-then” rules leads to the definition of an output represented by a real number in the interval [0,1]. Such a number expresses the valuegenerating power of the target firm inclusive of synergies with the bidder (Strategic Enterprise Value). The system may be used for rating and ranking firms operating in the same sector. A regression analysis using hostile takeovers multiples may be employed to translate the score into price. The real-life case refers to Camuzzi (a natural gas distributor), acquired by Enel, the Italian ex monopolist of electric energy.Corporate finance, firm, rating, ranking, expert system, fuzzy logic, evaluation

An integrated core competence evaluation framework for portfolio management in the oil industry

Drawing upon resource-based theory, this paper presents a core competence evaluation framework for managing the competence portfolio of an oil company. It introduces a network typology to illustrate how to form different types of strategic alliance relations with partnering firms to manage and grow the competence portfolio. A framework is tested using a case study approach involving face-to-face structured interviews. We identified purchasing, refining and sales and marketing as strong candidates to be the core competencies. However, despite the company's core business of refining oil, the core competencies were identified to be their research and development and performance management (PM) capabilities. We further provide a procedure to determine different kinds of physical, intellectual and cultural resources making a dominant impact on company's competence portfolio. In addition, we provide a comprehensive set of guidelines on how to develop core competence further by forging a partnership alliance choosing an appropriate network topology

Risks of investment in personnel development: evidence from Ukrainian IT companies

In this paper, we examine key factors that influence the risks of investment in the development of human capital of a firm in the IT sector and estimate their weight in the overall risk. In particular, we single out the risk of premature voluntary termination of an employee, the risk of ineffective training, and the risk of a firm’s incorrect employee development strategy. Moreover, to support management of the mentioned kinds of risks, we enumerate the factors that influence them and classify those factors into three main groups: related to the employee, related to the firm, and related to the external environment. Based on this division, we build a model for estimating the risks of investing in the development of personnel using the Analytic Hierarchy Process (AHP)