Start-Up Business Evaluation Model Using the Analytic Hierarchy Process

2002 ◽  
Vol 3 (3) ◽  
pp. 211-219
Author(s):  
Sang Suk Lee ◽  
Jerome S. Osteryoung

This study develops a start-up business evaluation model for small and medium-sized firms using the Analytic Hierarchy Process (AHP). The intention is to provide a feasibility test for start-up businesses by calculating the relative weights of the various success factors in new entrepreneurial firms, and thus to develop a methodology for measuring the Start-up Business Index (SBI). The paper focuses on determinants in the start-up process of successful businesses in the USA and Korea that are considered by the entrepreneurs as having been necessary factors in their success.

2015 ◽  
Vol 18 (3) ◽  
pp. 308-324 ◽  
Author(s):  
Zeliha Kaygısız Ertuğ ◽  
Nuray Girginer

 The purpose of this study is to develop an evaluation model that considers the quantitative and qualitative criteria for the appropriate selection of firms demanding commercial credit for both public and private banks. In this paper, the authors propose an integrated model that combines the Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) into a single evaluation model. The model is illustrated with a case study on bank experts to demonstrate the effectiveness of this integrated method for four firms that applied for a commercial loan. In this study, AHP is applied to determine the weight of the criteria, and GRA is performed to determine the most appropriate firm. The results of this study indicate that, whereas firm morality and news criteria are the main criteria with the highest priority, sale and marketing constructions are the main criteria with the lowest priorities for both public and private banks. In addition, according to the results of GRA, the most appropriate firm for a public bank is Firm 1, and the most appropriate firm for a private bank is Firm 2.


Author(s):  
Rafikul Islam ◽  
Norimah Md. Dali ◽  
Alias Abdullah

Opinions were sought from a panel of two groups of Malaysian experts, i.e., the urban planners and the Maqasid al-Shariah scholars with the aim of developing an evaluation model via identifying and ranking the Maqasid indicators and sub-indicators for liveability and quality of life in cities. The measurement utilizes the Dharuriyyat (essentials or necessities) dimension of the Maqasid al-Shariah principles based on Al-Shatibi’s School of maslahah which targets public interests and benefits of living in cities. This is supported by Ibn Ashur and contemporarily by Yusuf al-Qaradhawi who emphasize harmony, justice and global peace. The Analytic Hierarchy Process (AHP) has been used as the main method to prioritize the indicators and sub-indicators. The AHP results indicate that religion, life, intellect, lineage and wealth are in descending order of importance, similar to the priorities of the classic Maqasid al-Shariah doctrine. However, the sub-indicators are ranked in terms of priorities based on the consensus of the urban planners and maqasid practitioners which ultimately form the Islamic liveability measurement for cities.


2021 ◽  
pp. 109634802098698
Author(s):  
Timmy H. Tseng ◽  
Yi-Shun Wang ◽  
Yung-Chien Tsai

This study develops a model for selecting between third-party booking systems from a consumer perspective based on previous information/e-commerce systems success models and a hospitality website quality evaluation model. Factors influencing consumers’ selection of third-party booking systems are identified and the relative importance of each is revealed through the analytic hierarchy process technique. Data is collected from two waves of online surveys and analyzed with the Expert Choice software package. The results reveal the following priorities of factors: security oriented, information quality, service quality, system quality, and marketing oriented. Similarities and differences between these findings and those of past studies are discussed. Based on the analytic hierarchy process results, a practitioner guide on how to design a successful third-party booking system is presented. The developed model is different from hotel selection models and displays more theoretical completeness.


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