Yasemin Claire Erensal

Determining key capabilities in technology management using fuzzy analytic hierarchy process: A case study of Turkey

The importance of technology management is a vital determinant of long-run success or failure of organizations in todays world. Since technology is a major driver of the global economic development, business professionals seek more effective ways to manage existing and emerging technology. This study proposes a model to understand the links between competitive advantages, competitive priorities and competencies of a firm in the context of the technology management. We use the fuzzy analytical hierarchy process (AHP) to analyze these links. Moreover, we examine the perception of a group of managers from different Turkish firms regarding the technology management. The main result of this paper is that the concept of the management of technology arises to be much more important than both the product technology and the process technology.

Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem

In the global economy, the modern commercial and industrial organization needs to develop better methods of assessing the performance of the human resource than simply using performance measures such as efficiency or effectiveness. As organizations seek more aggressive ways to cut costs and to increase global competitiveness, the importance of establishing and sustaining high levels of employee performance increases. The main purpose of this paper is to solve the human performance improvement problem by employing Analytic Hierarchy Process (AHP) method. Decision makers (DMs) often deal with problems that involve multiple criteria. At given moments in time, companies will display characteristics that make certain factors; key factors in their competences. In this paper, we present a model, which illustrates the relations and importance between human performance improvement and the style of management. In using the AHP to model this problem, we developed a hierarchic structure to represent the problem of human performance management and made pairwise comparisons. In this paper, the AHP is suggested as a tool for implementing a multiple criteria performance improvement scheme. The AHP was used for the purpose of structuring and clarifying the relations and importance between human performance improvement and the style of management. The study found that in terms of company culture, participation, human capability, and attitudes the best management style in improving human performance is management by values.

Transferring appropriate manufacturing technologies for developing countries

Purpose – This work attempts briefly to identify factors affecting the success of technology transfer in order to reduce the potential of incompatibilities in respect to micro‐ and macro‐ergonomics and to optimize the decision process of managers in DCs.Design/methodology/approach – Analytic hierarchy process (AHP) was selected as appropriate technique. The decision model developed in this research is specified in the context of micro‐ and macro‐ergonomics view of technology transfer in DCs.Findings – Based on the AHP, it is possible to determine the global priority weights of different technology alternatives and examine the critical factors and benefits that affect the appropriateness of technology transfer based on micro‐ and macro‐ergonomics considerations. In its general form, the model provides a useful conceptual framework for evaluating alternative technologies in respect to ergonomics and suggests the ergonomics choices which must be made.Originality/value – As noted above, this study is unique i...

Leveraging technological knowledge transfer by using fuzzy linear programming technique for multiattribute group decision making with fuzzy decision variables

Despite the importance of knowledge transfer for firms involved in foreign direct investment activities, this area has not received appropriate attention from the perspectives of both the knowledge transferor (i.e., MNC parent) and the knowledge recipient. To fill in the gap in the current literature we propose a model to understand the links between criteria complicating the transfer of knowledge and preferences that the company has to focus. This model is based on both the existing literature as well as views of company representatives and provides a useful methodology for identifying decision making problems on the transfer of knowledge. In this paper, we investigate the fuzzy linear programming technique (FLP) to analyze these links and for multiple attribute group decision making (MAGDM) problems with preference information on criteria. To reflect the decision maker’s subjective preference information and to determine the weight vector of attributes, the technique for order preference by similarity to ideal solution (TOPSIS) developed by Hwang and Yoon (1995) and the linear programming technique for multidimensional analysis of preference (LINMAP) developed by Sirinivasan and Shocker (Psychometrica 38:337–369, 1973) are used.

An Analytic Network Process approach to the planning and managing of the energy politics

The obtainment of electricity in a cheap, reliable and stable way on time with good quality is of high priority for the management of countries. In order to do so, in our country where the need to electrical energy is rapidly increasing, the planning of production and development of electrical energy and its execution is very important from the economical point of view. However, the analysis of the final consumption of the country, the determination of all the factors affecting the final demand, is a multi-criteria decision making (MCDM) problem which requires taking several different factors in account. In this study, the determination of the scenarios of the socio-economic and technique development and the problem of evaluating the values calculated for these scenarios will be solved with Analytic Network Process (ANP)s software SuperDecisions which will provide more accurate results by taking the relations between the evaluation factors into account. The results will be evaluated and their conformity to this process will be researched.

A Problem Solving Perspective on Evaluating Knowledge Management Technologies: Using Fuzzy Linear Programming Technique for Multiattribute Group Decision Making with Fuzzy Decision Variables

The aim of this paper is to develop a framework to aid in the evaluation and selection of KM tools and technologies. n this paper, we investigate the fuzzy linear programming technique (FLP) for multiple attribute group decision making (MAGDM) problems with preference information on alternatives. To reflect the decision makers subjective preference information and to determine the weight vector of attributes, the linear programming technique for multidimensional analysis of preference (LINMAP) is used. The LINMAP method is based on pairwise comparisons of alternatives given by decision makers and generates the best compromise alternative as the solution that has the shortest distance to the positive ideal solution. Our aim is to develop a LINMAP in MAGDM problem, where decision makers (DM) give their preferences on alternatives in a fuzzy relation. Through the proposed methodology in this research, enterprises can reduce the mismatch between the capability and implementation of the KM technology, and greatly enhance the effectiveness of implementation of the KMS. Finally, the developed model is applied to a real case of assisting decision-makers in a leading logistics company in Turkey to illustrate the use of the proposed method

Determining the impact of knowledge management practices on work values

Abstract This paper analyzes and describes how communities of practice (CoP) effected on business values which were applied in a particular case company as a vehicle for encouraging product and process innovation. More specifically, the effectiveness of these communities was discussed in relation to eight work values – structural, cultural, communicational, teamwork, work organizational, satisfaction, participation, empowerment and commitment. Analysis of these eight dimensions was useful in examining the role played by these communities within the case company. The paper concludes by considering the lessons for managers that can be drawn from this analysis.

Evaluate knowledge management tools by using fuzzy linear programming technique for multiattribute group decision making

Abstract The concept of knowledge management is a tried and tested management science that has been implemented by numerous organizations, some with more success than others. The aim of this paper is to develop a framework to aid in the evaluation and selection of KM tools. In this paper, we investigate the fuzzy linear programming technique (FLP) for multiple attribute group decision making (MAGDM) problems with preference information on alternatives.

Designing a conceptual performance measurement framework of knowledge management initiatives

Abstract Due to more competitive market conditions, organizations are urged to evaluate the impacts of knowledge management (KM) initiatives more precisely. As existing measurement approaches solve the problem only partially, this article develops a performance measurement framework for a KM initiative. Given that the whole point of KM is to improve the performance of the organization and to help it to achieve its objectives, the best and most logical approach is tie-in measurement of KM with the organizations overall performance measurement systems. Therefore the purpose of the presented article is to build a comprehensive and applicable measurement framework of KM initiatives within a holistic approach.