Agents and Factors Evaluation in IT Infrastructures Projects Using TOPSIS Method (original) (raw)
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A fuzzy logic expert system for the measurement of Intellectual Capital in strategic alliances
Purpose -The aim of this study is to propose a method to measure Intellectual Capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level, (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers.
To create unique competitive advantage is becoming essential key task in industry but the limited resources constrain these activities. The collaboration is main stream in alliance strategies to gain complementary resources to create new value for customers capture. An increasing number of Taiwanese firms are strategically collaborating with Chinese partners. The appropriate partner greatly facilitates creating synergy for promoting robust business performance. But how to select suitable partner for successful value creation turn to first topic in collaboration. We propose a systematic framework for evaluating collaborative partner selection alternatives on the basis of the substantial determinants of successful collaboration. We adopt the analytical network process (ANP) technique instead of the analytical hierarchy process (AHP) and fuzzy AHP (FAHP) method due to real world consideration in interaction and feedback among each layer. This research incorporates partner necessary characteristics from prior literatures (e.g., trust, commitment, and complementarity) and new findings (value path, and intensity) in empirical cases into an ANP structure and uses expert insights as well as blurred data analysis to guide the selection processes of collaborative partners. The Result indicate that complementary resources is the top priority for alternatives selection in electronics components distributors (ECD) field and findings contributes significant value to the design firm's collaborating management and bring high probability rate of successful collaboration.
Assessing Partnership Alternatives in an IT Network Employing Analytical Methods
Scientific Programming, 2016
One of the main critical success factors for the companies is their ability to build and maintain an effective collaborative network. This is more critical in the IT industry where the development of sustainable competitive advantage requires an integration of various resources, platforms, and capabilities provided by various actors. Employing such a collaborative network will dramatically change the operations management and promote flexibility and agility. Despite its importance, there is a lack of an analytical tool on collaborative network building process. In this paper, we propose an optimization model employing AHP and multiobjective programming for collaborative network building process based on two interorganizational relationships' theories, namely, (i) transaction cost theory and (ii) resource-based view, which are representative of short-term and long-term considerations. The five different methods were employed to solve the formulation and their performances were compared. The model is implemented in an IT company who was in process of developing a large-scale enterprise resource planning (ERP) system. The results show that the collaborative network formed through this selection process was more efficient in terms of cost, time, and development speed. The framework offers novel theoretical underpinning and analytical solutions and can be used as an effective tool in selecting network alternatives.
Development of an Alliance of It Companies
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The appraisal of service management by external bodies is an ubiquitous norm for the IT companies. The certification of IT service management, regarding the fulfillment of quality norms and standards, represents an important argument for the maturity achievement of the company, leading to an increased confidence of the customers. The paper aim is to present the particularities of the ISO 20000 certification in the case of an extended IT services alliance/ environment consisting of several non-related companies. The certification goal is to provide standardized predictable support services with economic efficiency imposed by the current market conditions and tough competition. It insures also a unitary operating style and culture inside the alliance. The implementation steps of the Integrated IT Service Management System are presented, emphasizing the benefits for the organizations as well as for their customers. The main conclusion is that the adoption of ISO 20000 management princi...
To cope with rapid technological change and the increasing R&D costs during a period of decreasing technology and product life cycles, acquisition and development (A&D) has been suggested to be an important method for high-tech firms to achieve higher economic returns. However, few studies have examined the operational problems of choosing a compatible A&D candidate from a pool of potential A&D candidates. To address this limitation, this study proposes an approach based on the analytic network process (ANP) to rank a set of potential A&D candidates within a multivariate set of attributes systematically. A total of 25 criteria were identified and used to construct the ANP model in which the final selection is based on the resulting priorities assigned to the A&D candidates. A case study of a semiconductor manufacturing company was conducted to illustrate the application of the proposed approach. The results indicated that the proposed ANP method can aid in A&D decision-making problems systematically.
A decision-making framework based on knowledge criteria for network partner selection
2019 International Conference on Industrial Engineering and Systems Management (IESM), 2019
In a complex project, an organization is often not able to manage all aspects alone, since it does not have all the required competences, skills or resources. In this case, alliance formation can be a solution for project development. Apart from simply managing complex projects, firms also find it important to increase innovativeness by sharing knowledge between partners in alliances. However, in alliances one of the difficulties is achieving effective collaboration: mis-communication, missing skills or missing resources create a high risk that the project fails to achieve its goals. In order to decrease the risk of failure, and to overcome potential collaboration inefficiency, partner selection takes place among firms that are able to communicate well while at the same time having the required knowledge to achieve their objectives. The important role of partner selection in alliances justifies the increased attention given to substantial criteria in alliance formation. Proposing a knowledge-based framework aimed at increasing the understanding of partner selection in alliances is the contribution of this paper. This knowledge can be gained by evaluating projects from a technological point of view to estimate their challenging degrees, and studying the partners background in past projects or partnerships. This paper structured to propose hypotheses based on a systematic literature review. At the heart of the hypotheses is a consideration of the needs of the project, and starting there allows us to characterize alliance formation and partner selection using a new typology. Finally, a novel framework is proposed that could help decisionmakers in the managerial aspects of partner selection in alliance formation. The framework also presents considerable potential for future studies.
Risk Evaluation of Dynamic Alliance Based on Fuzzy Analytic Network Process and Fuzzy TOPSIS
Journal of Service Science and Management, 2012
Dynamic alliance formations have increased dramatically over the past decade for its adaptation to environmental change and market competition. However, many fail, while an even greater proportion perform poorly. The risk analysis of dynamic alliance will help enterprises to choose a coalition partner and make a reasonable benefit allocation plan. It's also good for reducing the risk and keeping the stability of the alliance. Based on the interaction and feedback relationships between criteria and/or indices, an index system for evaluating the risk of dynamic alliance is developed. With the information uncertainty and inaccuracy being considered, a new hybrid model based on fuzzy analytic network process (FANP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is proposed. The local weights of criteria and indices are obtained by fuzzy preference programming (FPP), and the comprehensive weights are derived by FANP. According to fuzzy TOPSIS, an optimal alternative is chosen by the closeness coefficient based on the shortest distance from the positive and the farthest distance from the negative ideal solutions. Finally, a numerical case is given by the proposed method.
Fuzzy Multi Attribute Assessment Model for Software Outsourcing Partnership Formation
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Building on the preceding studies, this paper aims to extend the latest capability maturity model integration (CMMI)-based organization assessment model to the fuzzy environment. Our approach has overcome the limitations of the preceding CMMI-based models. Our proposed model is based on the multi-attribute decision-making (MADM) approach incorporating the capability of group decision making. The rating of qualitative factors based on crisp values may be insufficient to model the real-world MADM industrial problem. For controlling human subjective vagueness, linguistic variables are translated using the triangular fuzzy number. The proposed model is generalized in order to be easy to adopt by other organizational assessment practitioner and researcher. Other researcher and practitioner can adopt the proposed model procedure and methodology in order to develop their own organizational assessment, capability improvement, and decision-making framework for companies, enterprises, or organization. The proposed model has two working parts. The ranking part of the framework model can be used for ranking the importance of influential factors, while the assessment part of the model can be used as an assessment tool in the SDO organization. Collectively, it might be utilized as a decision support system. A running numerical example of software outsourcing partnership (SOP) formation is presented to validate the proposed model. The ranking part is demonstrated with the help of empirical survey conducted with 35 experts, while the assessment part is demonstrated by conducting two case studies in SDO organization. SDO vendor organization can benefit from the model to gauge their capability toward SOP formation. INDEX TERMS Triangular fuzzy numbers, Fuzzy multi-criteria decision making, group decision making, Motorola assessment tool, client-vendor relationship, software outsourcing partnership.
MTM Matrix: A New Mapping Aid for Strategic Alliances
2000
Intense global competition is forcing corporations to examine different strategies for developing new capabilities. Strategic alliances allow firms to refresh their competitive strategies in response to globalization. Presently the number of strategic alliances is growing. In this paper, the concept of an MTM matrix as an analytical framework for strategic alliances is introduced. In this matrix, manufacturing ability, technological level and marketing potentiality of each partner have been considered. This matrix helps firms to find appropriate kind of partner for its specific needs. It also may be useful for finding appropriate kind of alliance with a specific partner.