scholarly journals FQSPM-SWOT FOR STRATEGIC ALLIANCE PLANNING AND PARTNER SELECTION; CASE STUDY IN A HOLDING CAR MANUFACTURER COMPANY

2015 ◽  
Vol 21 (2) ◽  
pp. 165-185 ◽  
Author(s):  
Peyman AKHAVAN ◽  
Sasan BARAK ◽  
Hamidreza MAGHSOUDLOU ◽  
Jurgita ANTUCHEVIČIENĖ
Keyword(s):  
Strategic Alliance ◽  
Swot Analysis ◽  
Gap Analysis ◽  
Partner Selection ◽  
Critical Factor ◽  
Fuzzy Topsis ◽  
Holding Companies ◽  
Alliance Partner ◽  
Goods And Services ◽  
Order Preference

In today’s competitive environment, holding companies are usually unable to successfully compete in production of goods and services due to technological sophistication. Therefore, for success of holding companies, selecting appropriate strategic alliance partner is a critical factor. Accordingly, the aim of the paper is to propose a systematic approach for an effective partner selection. Firstly, the underlying motivation and reasons for a strategic alliance building are presented using a SWOT analysis. Criteria of partners’ evaluation are attained on the basis of combining strengths, weaknesses, opportunities and threats. Due to uncertainty of criteria, they are weighted using fuzzy quantitative strategic planning matrix (FQSPM). Because of a large number of criteria obtained from the SWOT-FQSPM analysis, criteria are diminished based on their weights using the Gap analysis with fuzzy data ranking. In the next step, it is proposed to apply four ranking algorithms including the Fuzzy Additive Ratio Assessment (ARAS-F), the Fuzzy Complex Proportional Assessment (COPRAS-F), the Fuzzy Multi-Objective Optimization by Ratio Analysis (Fuzzy MOORA), and the Fuzzy Technique for Order Preference by Similarity to Ideal solution (Fuzzy TOPSIS) to evaluate strategic partners. Finally, the results are combined with the help of the Borda method to choose the best alternative. To illustrate the efficiency of the proposed approach, a real partner selection problem at a holding industries factory in Iran is presented.

The three faces of China: Strategic alliance partner selection in three ethnic Chinese economies

2014 ◽  
Vol 49 (4) ◽  
pp. 572-585 ◽  
Author(s):  
David Ahlstrom ◽  
Edward Levitas ◽  
Michael A. Hitt ◽  
M. Tina Dacin ◽  
Hong Zhu
Keyword(s):  
Strategic Alliance ◽  
Partner Selection ◽  
Ethnic Chinese ◽  
Alliance Partner

scholarly journals IMPLEMENTASI FUZZY TOPSIS DALAM PERENCANAAN STRATEGI BISNIS

2013 ◽  
Vol 1 ◽  
pp. 132
Author(s):  
Fera Tri Wulandari
Keyword(s):  
Strategic Planning ◽  
Swot Analysis ◽  
External Environment ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Alternative Strategies ◽  
Order Preference ◽  
External Conditions ◽  
Last Stage

Strategic planning is done in order to the company can look at it objectively internal and external conditions that the company can anticipate changes in the external environment. Strategic planning begins with the introduction of the company's vision and mission in order to determine which company will produce an overview of the internal and external environment. Furthermore conduct a SWOT analysis to formulate appropriate strategic alternatives to position the company. The last stage is the decision-making strategies using Fuzzy Quantitive Strategic Planning Matrix (FQSPM) to determine and select the best strategy from a number of alternative strategies given certain criteria using Fuzzy Technique for Order Preference by Similarity to Ideal. Solution (FTOPSIS). Results of the determination of the strategy chosen by the fuzzy TOPSIS for furniture company is intelegent increased marketing and promotional products.

scholarly journals Partner selection in market-driven strategic alliances

1997 ◽  
Vol 28 (3) ◽  
pp. 97-104 ◽  
Author(s):  
Saul Klein ◽  
Chekitan Dev
Keyword(s):  
Strategic Alliances ◽  
Customer Value ◽  
Strategic Alliance ◽  
Multiple Choice ◽  
Partner Selection ◽  
Alliance Partner ◽  
One Stop ◽  
Market Driven ◽  
Alliance Partners

How should one select a strategic alliance partner? An answer to this question is provided by extending the literature on symbiotic marketing and focussing attention on market-driven strategic alliances. Such alliances are defined as long-term inter-firm co-operative relationships that add value for the customer. Value is created by providing the advantages of multiple choice purchase options coupled with the convenience of seamless, one-stop-shopping. This means paying attention to customers and competitors in selecting alliance partners. Market-driven strategic alliances are posited to be more successful when usage and firm complementarity levels are correctly matched with the alliance strategy being pursued.

scholarly journals A Hybrid MCDM Model for Evaluating Strategic Alliance Partners in the Green Biopharmaceutical Industry

2019 ◽  
Vol 11 (15) ◽  
pp. 4065 ◽  
Author(s):  
Chang ◽  
Liou ◽  
Lo
Keyword(s):  
Strategic Alliances ◽  
Strategic Alliance ◽  
Selection Process ◽  
Rapid Change ◽  
Fuzzy Topsis ◽  
Small Sample ◽  
Biopharmaceutical Industry ◽  
Aspiration Level ◽  
Alliance Partner ◽  
Alliance Partners

Since the rise of strategic alliances which play such an important role in industry today, the biopharmaceutical industry worldwide has entered an era of rapid change and collaborative thinking. The strategic alliance is one of the most important strategies for the green biopharmaceutical industry. Member organizations in these alliances work together to create more advantageous biotechnologies based on environmental protection to achieve mutual benefits. In the past, there have been only a few studies discussing partner evaluations and the selection process for the green biopharmaceutical industry, so the criteria or indicators are still not complete. Therefore, this study proposes a novel multi-criteria decision-making (MCDM) framework for strategic alliance partner evaluation that combines the best-worst method (BWM) and the fuzzy TOPSIS technique based on the concept of aspiration level (called fuzzy TOPSIS-AL) to evaluate the performance and priority rankings of strategic alliance partners. The BWM overcomes the shortcomings of small sample sizes and streamlines the number of conventional pairwise comparisons needed. The fuzzy TOPSIS-AL technique introduces the concept of the aspiration level, thereby leading to more reasonable suggestions for improvement. In addition, data from a multinational green biopharmaceutical company survey are utilized to demonstrate the validity and applicability of the proposed model.

A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry

2011 ◽  
Vol 11 (4) ◽  
pp. 3515-3524 ◽  
Author(s):  
James J.H. Liou ◽  
Gwo-Hshiung Tzeng ◽  
Chieh-Yuan Tsai ◽  
Chao-Che Hsu
Keyword(s):  
Airline Industry ◽  
Strategic Alliance ◽  
Partner Selection ◽  
Alliance Partner

The Institutional Effects on Strategic Alliance Partner Selection in Transition Economies: China vs. Russia

2004 ◽  
Vol 15 (2) ◽  
pp. 173-185 ◽  
Author(s):  
Michael A. Hitt ◽  
David Ahlstrom ◽  
M. Tina Dacin ◽  
Edward Levitas ◽  
Lilia Svobodina
Keyword(s):  
Transition Economies ◽  
Strategic Alliance ◽  
Partner Selection ◽  
Institutional Effects ◽  
Alliance Partner

Evaluation of Lean Manufacturing Systems Using MADM and Fuzzy TOPSIS

2014 ◽  
Vol 592-594 ◽  
pp. 2628-2638 ◽  
Author(s):  
T.G. Arul ◽  
C. Arumugam ◽  
P. Parthiban
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Value Added ◽  
Fuzzy Topsis ◽  
Global Market ◽  
Triangular Fuzzy Numbers ◽  
Management Philosophy ◽  
Order Preference ◽  
Indian Industries ◽  
Real World Situation

Lean manufacturing is a management philosophy derived from Toyota Production System (TPS) which aims to increase the overall values of the product or service provided to the customer through elimination of non-value added activities. In the era of globalisation, to remain competitive in the global market, many medium and small sized Indian industries adopt lean manufacturing. This paper focuses on implementation of lean manufacturing in Indian MSMEs. To examine the implementation, attributes which influence lean manufacturing are obtained and industries’ performances on these criteria are rated. In this paper, the methodology selected from many of the multi criteria models is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In the actual real world situation, because of the unreliable nature of the information gathered, the attributes are often not absolute and are imprecise. These data can be considered as fuzzy and the aim of this paper is to adopt TOPSIS decision making method to problems with fuzzy data. The rating and weights of each data are expressed as triangular fuzzy numbers. These attributes are then normalized and the TOPSIS methodology is carried out to determine the effect of implementing lean manufacturing technique in an industry. The best industry is identified by fuzzy TOPSIS on the basis of performance towards the considered attributes is consistent with results identified by TOPSIS.

Corporate sustainability assessment through fuzzy TOPSIS

2018 ◽  
Author(s):  
Eleonora Bottani ◽  
Marta Rinaldi ◽  
Federico Solari
Keyword(s):  
Sustainability Assessment ◽  
Corporate Sustainability ◽  
Reference Value ◽  
Fuzzy Topsis ◽  
Analysis And Evaluation ◽  
Sustainability Performance ◽  
Order Preference ◽  
Pros And Cons ◽  
Topsis Approach ◽  
Corporate Level

"The aim of this paper is to propose a decisionmaking methodology that enables the analysis and evaluation of sustainability at the corporate level. The proposed methodology grounds on two tools, namely the technique for order preference by similarity to ideal solution (TOPSIS) approach and fuzzy logic. The integration of these tools offers an effective way to deal with two typical issues of sustainability assessment, i.e.: 1) the fact that the company’s performance should be frequently evaluated against qualitative key performance indicators; and 2) the fact that to be meaningful, the company’s sustainability performance needs to be compared to a reference value, e.g. a threshold or benchmark, to evaluating how the company is distant from a target. The proposed approach has been applied to a real firm, operating in the food machinery industry, for testing purpose. The main pros and cons of the approach are described."

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