scholarly journals Constructing Taipei City Sports Centre Performance Evaluation Model with Fuzzy MCDM Approach Based on Views of Managers

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Chen-Yang Wang ◽  
Pei-Hsuan Tsai ◽  
Hu Zheng

This study aims to utilize the fuzzy analytical/network process (FAHP/FANP) and decision-making trial and evaluation laboratory (DEMATEL) approach to recognize the influential indicators of sport centre business management in Taipei city’s sports centre. Twenty-three of sports centres with six-dimensions were identified from the literature review and interview with twelve experts (academic and practical experience). By considering the interrelationships among the indices, DEMATEL was used to deal with the importance and causal relationships among the evaluation indices of sports centre. Then, we employ the FAHP/FANP to determine the weight of each management criterion. Our empirical results provide two main insights: first, sports centre business management strategies comprise six-dimensions and 23 indexes; second, the FANP analysis shows that the six key factors are (in order of priority) service price, site conditions, operations management, traffic conditions, sports products, and staff quality. This study uses the FANP and DEMATEL along with mathematical computing in order to provide sports centre managers with a reliable decision-making reference and to assist them in formulating the most effective business strategy possible.

2018 ◽  
Vol 10 (10) ◽  
pp. 3749 ◽  
Author(s):  
Pei-Hsuan Tsai ◽  
Chin-Tsai Lin

Management strategies play an important role in enhancing the competitive advantage and sustainable development of national museums. The purpose of this study is to focus on evaluating the management strategies of national museums to reduce the gaps in visitor satisfaction that are caused by the interdependence and feedback problems of the so-called BOCR dimensions (namely, benefits, opportunity, costs, and risks) and 24 criteria. This study creates a hybrid competitive advantage multiple-criteria decision-making model for national museums by integrating the decision-making trial and evaluation laboratory-based analytic network process and modified VIKOR (VlšeKriterijumska Optimizacija I Kompromisno Resenje) techniques to solve the problems. We consider five different types of national museums to illustrate how the proposed new evaluation model enhances the competitive advantage of national museums. Our results provide national museum curators with the knowledge and understanding to create promotional and marketing strategies that reduce the gaps in dimensions and criteria to satisfy visitors’ needs and to enhance their competitive advantage.


2021 ◽  
Vol 226 ◽  
pp. 00036
Author(s):  
Rika Diananing ◽  
Amilia Destryana ◽  
Ribut Santosa ◽  
Noor Illi Mohamad Puad ◽  
Agustine Christela Melviana

Sumenep is one of the salt producers in Indonesia. The problem experienced by farmers is the production of salt using evaporation by solar energy that depends on the weather and the low price, caused by worse business management. Salt is a potential commodity, because its market is still wide open. This research aims to develop the salt production method and development strategy of salt business in Sumenep Regency by using SWOT analysis. The result of the analysis concludes that the priority of salt development business strategy in Sumenep Regency are: i) Geoisolator technology application strategy to produce good quality of salt; ii) cooperation strategy in group mechanism to build power and increasing the bargaining value of the farmers; iii) capital strengthening strategy through partner cooperatives; iv) broader marketing management management strategies to industrial salt user sectors.


2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.


2020 ◽  
Vol 1 (2) ◽  
pp. 165-178
Author(s):  
Fransiskus Seran Nuak ◽  
◽  
William Djani ◽  
Petrus Kase Kase ◽  
◽  
...  

Purpose: The purpose of this study is to analyze saving and loan business management strategy in Satu Hati Village-Owned Enterprises (BUMDes) In Naimana Village, Central Malaka Sub-District, Malaka District. Research methodology: This research used a descriptive research method with a qualitative approach. This research used purposive sampling technique. Results: The results of this study found that communication and cooperation are not good enough, there are no binding rules, and recording and bookkeeping are not in accordance with the borrower's deposit. Limitations: This research only analyzes Management Strategies for Savings and Loans at Satu Hati Village-Owned Enterprises (BUMDes) in Naimana Village, Central Malaka Sub-District, Malaka Regency. Contribution: This research becomes information for the development of Satu Hati Village-Owned Enterprises (BUMDes) so that this BUMDes can continue to grow. Keywords: Environmental observation, Management strategy, Savings and loans business, Strategy formulation, Village-Owned Enterprises (BUMDes)


2015 ◽  
Vol 22 (5) ◽  
pp. 685-714 ◽  
Author(s):  
Kao-Yi SHEN ◽  
Gwo-Hshiung TZENG

This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods to guide semiconductor companies to improve financial performance (FP) – based on logical reasoning. The complex and imprecise patterns of FP changes are explored by dominance-based rough set approach (DRSA) to find decision rules associated with FP changes. Companies may identify its underperformed criterion (gap) to conduct formal concept analysis (FCA) – by implication rules – to explore the source criteria regarding the underperformed gap. The source criteria are analysed by decision making trial and evaluation laboratory (DEMATEL) technique to explore the cause-effect relationship among the source criteria for guiding improvements; in the next, DEMATEL-based analytical network process (DANP) can provide the influential weights to form an evaluation model, to select or rank improvement plans. To illustrate the proposed method, the financial data of a real semiconductor company is used as an example to show the involved processes: from performance gaps identification to the selection of five assumed improvement plans. Moreover, the obtained implication rules can integrate with DEMATEL analysis to explore directional influences among the critical criteria, which may provide rich insights and managerial implications in practice.


2010 ◽  
Vol 2 (4) ◽  
pp. 50-68 ◽  
Author(s):  
Fen Wang ◽  
Natalie Lupton ◽  
David Rawlinson ◽  
Xingguo Zhang

This paper describes a Web-based intelligent decision making support system (DMSS) to deliver balanced scorecard (BSC) based modelling and analysis in support of strategic E-business management. This framework supports E-business managers during the strategy making process in a comprehensive, integrated, and continuous manner. The paper demonstrates how practitioners can use this system to deliver a wide range of embodied E-business strategy expertise in support of real-time decision making.


2020 ◽  
Vol 28 (2) ◽  
pp. 91-100
Author(s):  
Imre Dimény ◽  
Tamás Koltai

Organizations all over the world use Business Analytics (BA) to gain insight in order to drive business strategy and planning. With the increasing amount of available data larger models are created to support decision making, but managers also must deal with the uncertainty of the input parameters. In this perspective Linear Programming (LP) models have two valuable properties: the required computation time allows large models to be solved and further valuable insight can be gained about the problem using sensitivity analysis. There is a wide range of tools available to solve LP problems. Many of these tools use an implementation of the simplex method and provides an optimal solution related sensitivity information. The sensitivity information generated by such solvers are often used by managers in the decision making process. There are situations when managers may have a hard time taking decision based on the information provided by most of the commercially available LP solvers. If the optimal solution of the primal problem (dual degeneracy) or the dual problem (primal degeneracy) is not unique, the resulting sensitivity information can be misleading for managers. In other cases, the resulted ranges may be too tight for decision support, thus information about a wider range is required. In this paper parametric analysis information is recommended to complete the traditional LP results in order to increase the insight of operations managers when using LP models for operation improvement.


2019 ◽  
Vol 25 (2) ◽  
pp. 188-218 ◽  
Author(s):  
James J. H. Liou ◽  
Artūras Kaklauskas ◽  
Ming-Tsang Lu ◽  
Yen-Ching Chuang

This study aims to assist decision makers to improve hotel service performance by developing strategic orientations. Strategic orientations are imprecise and subjective: they vary according to domain experts’ opinions and practical experience. This study develops an integrated rough multiple attribute group decision-making (MAGDM) model that supports decision makers to acquire a systematic view of strategic methods for improving performance to the desired level. The model incorporates three methods. First, we use the rough number approach to determine group opinions from the practical experience of domain experts. We then apply the rough decision making trial and evaluation laboratory (DEMATEL)-based analytic network process to develop a rough influential network relation map (RINRM). The rough influential weights based on strategic orientations and their corresponding attributes are calculated. Finally, we use the modified complex proportional assessment of alternatives with gray relations (mCOPRAS-G) and the influential weights to calculate the relationship ratio between performance and aspiration level. Our model flexibly assesses the vagueness involved in decision-making, enabling more objective expert estimation of attributes in subjective surroundings than traditional multiple attributes decision-making models. We use the Taiwanese hotel industry as an empirical case study. Our study provides useful information on how to enhance hotel services and achieve optimal performance based upon expert judgments and the RINRM. The results show that customer orientation is the optimal strategy for hotel service promotion.


2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Po-Yu Chen

The primary purpose of this study was to explore how food dealers develop methods that facilitate transaction efficiency and how they select the optimal food channels. This study establishes a model according to the impact of transaction cost factors on consumers’ decision-making regarding purchase of fresh snack foods. Using fresh snack foods in Taiwan as an example, this study employed a fuzzy analytic network process to solve decision-making problems with multiple criteria by comparing the interaction between each transaction cost factor to obtain the factor weightings as well as the weightings of the transaction costs at each decision stage. This study found that food safety assurance and providing sufficient nutrition information were the most essential topics; thus, the optimal choice for snack food producers is to develop retail outlets. This study construction process proposed is innovative and operational, and the results may provide a reference for snack food dealers or microfood enterprises to assist them in developing their food channels.


2021 ◽  
Vol 5 (1) ◽  
pp. 81-90
Author(s):  

The condition of MSMEs during the Pandemic requires MSMEs to have a business strategy to survive in the midst of the Covid-19 Pandemic. The purpose of this study is to describe the right strategy in managing the business and financial performance of MSMEs by implementing digitalization of technology during the Covid-19 pandemic. This research was conducted in Pangkal Pinang City, Bangka Belitung Islands. The population is all MSMEs in Pangkal Pinang City. The sampling method is purposive sampling. This type of research is descriptive research. Methods of data analysis using SWOT and PESTEL. Data analysis with SWOT is carried out by analyzing the strengths, weaknesses, opportunities and threats for MSMEs to increase their business in the midst of the COVID-19 Pandemic. The results show that the strategy of digitizing information technology is the right way to improve MSME business and finance during the Covid- 19 pandemic in Pangkal Pinang City. In addition, MSMEs must carry out a stability strategy in developing their business to survive the Covid-19 pandemic.


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