On Analysis of e-Banking Websites Quality – Comet Application

Chmielarz, Witold; Zborowski, Marek

doi:10.1016/j.procs.2018.07.238

Cited by 15 publications

(8 citation statements)

References 24 publications

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“…COMET (Characteristic Objects Method) is a very simple approach, most commonly used in the field of sustainable transport [34,35,62], interactive marketing [65,66], sport [67], medicine [68], in handling the uncertain data in decision-making [69,70], and banking [71]. Carnero, in Reference [72], suggests using COMET method as future work to improve her waste segregation model.…”

Section: The Characteristic Objects Methodsmentioning

confidence: 99%

Identification of Players Ranking in E-Sport

2020

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Human activity is moving steadily to virtual reality. More and more, people from all over the world are keen on growing fascination with e-sport. In practice, e-sport is a type of sport in which players compete using computer games. The competitions in games, like FIFA, Dota2, the League of Legends, and Counter-Strike, are prestigious tournaments with a global reach and a budget of millions of dollars. On the other hand, reliable player ranking is a critical issue in both classic and e-sport. For example, the “Golden Ball” is the most valuable prize for an individual football player in the whole football history. Moreover, the entire players’ world wants to know who the best player is. The position of each player in the ranking depends on the assessment of his skills and predispositions. In this paper, we studied identification of players evaluation and ranking obtained using the multiple-criteria decision-making based method called Characteristic Objects METhod (COMET) on the example of the popular game Counter-Strike: Global Offensive (CS: GO). We present a range of advantages of the player evaluation model created using the COMET method and, therefore, prove the practicality of using multi-criteria decision analysis (MCDA) methods to build multi-criteria assessment models in emerging areas of eSports. Thus, we provide a methodical and practical background for building a decision support system engine for the evaluation of players in several eSports.

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Section: The Characteristic Objects Methodsmentioning

confidence: 99%

Identification of Players Ranking in E-Sport

2020

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“…The authors quantified the risks of m-banking and suggested areas where managers should focus their efforts. In Poland, Chmielarz and Zborowski [49] proposed a model for selecting the best e-banking channel using the COMET (characteristics objects method). The e-banking sites were evaluated based on twenty criteria and experts' opinions.…”

Section: Related Studies On Mcdm and Selection Of M-banking Applicationsmentioning

confidence: 99%

An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS

Roy

Shaw

2021

Complex Intell. Syst.

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Mobile technology has revolutionised various business processes. Banking is one of them. Traditional banking operations are gradually changing with the introduction of efficient mobile technologies. Mobile banking (m-banking) has recently emerged as an innovative banking channel that provides continuous real-time customer service. It is expected that the market for m-banking will expand in the near future. There are currently various types of m-banking applications in the market. However, ranking and selecting efficient applications is difficult due to the involvement of multiple factors. As of now, very few studies have reported the m-banking application selection framework, left scope for further research. The current study proposes an m-banking application selection model based on a combined fuzzy best–worst method (fuzzy-BWM) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy-TOPSIS). The research was carried out in several stages, beginning with the identification of potential factors and progressing to pair-wise comparisons and the final ranking of the applications. The fuzzy set theory was applied to handle the ambiguity of the decision maker. In the first stage, fuzzy-BWM was used to determine the weight of the factors. Further, fuzzy-TOPSIS was applied to rank the m-banking applications. The present study has adopted a new fuzzy BWM, which differs significantly from the existing fuzzy-BWM, to solve the nonlinearity problem of optimisation. The applicability of the proposed model has been demonstrated through a real-life case study. The efficacy of the model has been further examined by performing a sensitivity analysis. The study observed application functionality, convenience, and performance expectancy as significant factors in selecting an m-banking application, followed by performance quality, security, and compatibility. The proposed model can assist financial institutions and customers to overcome the challenges of choosing an appropriate m-banking application. The proposed model can be used to benchmark the m-banking applications in the market.

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“…Akgül (2018) analyzed the websites of 32 banks in Turkey with the criteria such as accessibility, usability, security, website performance, opening time of website and page size. Chmielarz and Zborowski (2018) analyzed the website quality and performance of 21 banks in Poland with using the TOPSIS method.…”

Section: Ranking Of Web Sites Performance Of Commercialmentioning

confidence: 99%

Türkiye’deki Ticari Bankalara Ait Web Sitelerin Performanslarının SWARA ve ARAS Yöntemi İle Sıralanması

Maruf¹,

Özdemir²

2021

OPUS Uluslararası Toplum Araştırmaları Dergisi

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Günümüzde teknolojik gelişmeler ile birlikte küresel olarak birçok alanda önemli dönüşümler başlamış olup ekonomik ve ticari faaliyetlerin birçoğu internet ortamına taşımıştır. Böylece birçok sektörde dijitalleşmeye geçişi hızlanmıştır. Özellikle bankacılık sektörü dijital dönüşüme en hızlı adapte olan sektörlerden biridir. Bankacılık sektöründeki dijital dönüşümün hızlanmasıyla birçok banka şubelerinde sunduğu hizmetleri web sitelerinde internet bankacılığı uygulamaları aracılığıyla da sunmaya başlamıştır. Böylece bankalara ait web sitelerin önemi artmıştır. Bu bağlamda bu çalışmada Türkiye'deki 15 ticari bankanın web sitelerinin performansını analiz ederek banka web sitlerini sıralamak amaçlanmıştır. Web sitelerinin performans kriterlerine göre sıralanmasında SWARA ve ARAS yöntemleri kullanılmıştır. SWARA yöntemi sonuçlarına göre banka web sitesi performansının değerlendirilmesinde sayfa açılma süresi ve hız endeksi kriterleri en yükse ağırlığa sahip kriterler olarak bulunmuşken, web sitesinde geçirilen ortalama süre, dünya sıralaması ve Türkiye sıralaması kriterleri ise en düşük ağırlığı sahip kriterler olarak bulunmuştur. ARAS yöntemi sonucunda hesaplanan fayda değerlerine göre ise sırasıyla HSBC, Fiba Bank ve Şeker Bank'ın en iyi performans gösteren web sitelerine sahip olduğu sonucuna ulaşılmıştır. Türkiye Ekonomi Bankası, ING Bank ve Akbank ise en kötü performans gösteren web sitelerine sahip olup yapılan sıralamada son üç sırada yer almıştır.

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On Analysis of e-Banking Websites Quality – Comet Application

Cited by 15 publications

References 24 publications

Identification of Players Ranking in E-Sport

Identification of Players Ranking in E-Sport

An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS

Türkiye’deki Ticari Bankalara Ait Web Sitelerin Performanslarının SWARA ve ARAS Yöntemi İle Sıralanması

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