A neural network approach for retailer risk assessment in the aftermarket industry

Rezaei, Shirin; Shokouhyar, Sajjad; Zandieh, M.

doi:10.1108/bij-06-2018-0162

Cited by 26 publications

(16 citation statements)

References 68 publications

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“…Perceived online service quality: This variable is a function of the direction and magnitude of the comparisons between the expected and perceived services. The perceived online service quality reflects the extent to which a website can manage to facilitate shopping and efficient delivery of products to customers (Rezaei, Shokouhyar and Zandieh, 2019) developed 11 factors of e-services quality (E-SERVQUAL) and considered the website aesthetics as one of the dimensions measuring the quality of online services. To detect the e-service quality dimensions, Rowley (2006) reviewed 29 studies from 1996 to 2006 and concluded that the aesthetics along with components such as ease of use, ease of navigation, design and ease of ordering, has been considered in 25 resources as a factor affecting the perceived online service quality.…”

Section: Effects Of Visual Aesthetic Of Web Pagesmentioning

confidence: 99%

Analyzing the effects of visual aesthetic of Web pages on users’ responses in online retailing using the VisAWI method

Nia

Shokouhyar

2020

JRIM

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Purpose The success of e-commerce websites depends on their effective communication and influence on their users. At first glance, the users are impressed by the website design and, if inspired, they would continue their operations on the website. This paper aims to evaluate the effects of visual aesthetic of the Web pages on users’ behavior in online shopping environment. In particular, the paper aims to evaluate the elements of visual aesthetic on the organism variables (i.e. “satisfaction,” “arousal,” “perceived on-line service quality” and “trust”) and measure them on the users’ response (i.e. purchase, comparison and re-visit). Design/methodology/approach Using the stimulus–organism–response (S-O-R) framework, the authors first assessed direct and indirect effects of visual aesthetics of e-commerce websites on customer responses. Then, the Visual Aesthetics of Websites Inventory (VisAWI) method was used to examine the effects of four dimensions (i.e. craftsmanship, simplicity, diversity and colorfulness) on users’ perceived website aesthetics. To do so, DigiKala.com, a famous Iranian e-commerce website was selected and the questionnaires were distributed among its users. Findings The study results revealed that the website aesthetics in the S-O-R evaluation had the greatest direct impact on “perceived quality of online services,” “trust,” “satisfaction” and “arousal,” respectively. These variables also indirectly affected “shopping,” “revisit” and “comparison to similar products on other websites.” Regarding the evaluations based on the VisAWI, the component “craftsmanship” played the most central role in expressing the website aesthetics, followed by the variables “simplicity,” “diversity” and “colorfulness,” respectively. Originality/value Although the considerable effect of Web aesthetics on customers’ purchase behavior has been identified in previous research, it has not been accurately measured. Furthermore, studies on Web aesthetics are mostly limited to information systems’ users and do not concern consumers. Therefore, considering the increasing growth in online shopping and the significance of Web aesthetics to online consumers, investigating how consumers respond to Web aesthetics is of vital importance.

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Section: Effects Of Visual Aesthetic Of Web Pagesmentioning

confidence: 99%

Analyzing the effects of visual aesthetic of Web pages on users’ responses in online retailing using the VisAWI method

Nia

Shokouhyar

2020

JRIM

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“…Discussing the challenges of universities, especially in the field of telecommunication and information systems, this study had concluded that sustainability was an important challenge for universities, governments and companies, and there were alternative ways of resolving sustainability, currently being addressed by the Intergovernmental Panel on Climate Change (IPCC). However, the potential impact of IT on the best design of transportation, logistics, office and home systems; and for the most part, the fact that one of the problems of design stability was sustainability had been ignored (Rezaei et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

A six-dimensional model for supply chain sustainability risk analysis in telecommunication networks: a case study

Rezghdeh

Shokouhyar

2020

MSCRA

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PurposeThe main purpose of the present study was to improve and develop previously proposed models for Iran telecommunication networks. It should be noted that the six-dimensional (6D) sustainability model used in this study will be a useful and comprehensive model for industries. Since, the new dimension of IT along with the five well-known economic, social, environmental, technical and institutional aspects of organizations is considered to have great impacts on supply chain sustainability; the proposed framework can be practical.Design/methodology/approachAccording to the related literature review, there are two research streams in supply chain management. The first stream is exploratory research, seeking out conceptual discussions in this area. The second one is associated with mathematical models and techniques, aiming to set decision-making rules in this regard (Agrell et al., 2004). In this study, evaluation was performed using the FMEA method as an analytical technique based on the principle of pre-occurrence prevention to identify potential failure factors in sensitive systems (Mohammadfam and Kianfari, 2008).FindingsAfter identifying the risks and causes of the incidence and effects and consequences of risks, preventive and risk control measures and advisory strategies were presented. Customers with 45.76% share in critical risks are threatening to maintain supply chain in these companies. During this study, it was found that 33.9% of the main source of supply chain critical risks was customers, constituting 45.76% of such risks, accompanied by organization, having a 38.88% share of critical risk generation. The study findings also revealed that 33.9% of critical risks were mainly (equally) related to economic and technical aspects of supply chain sustainability in telecommunication networks. Moreover, as a newly-introduced sixth dimension, IT represented 10.17% of critical risks threatening supply chain sustainability in such networks. Critical risks are mainly related to the economic and technical aspects (equally) with the sustainability of the telecommunication networks supply chain. Also, as a new finding and the sixth dimension, 10.17% of the critical risks that threaten the sustainability of the telecommunication networks supply chain have the information technology dimension.Originality/valueThe internet and fixed and mobile data services are provided by several private companies in Iran, which are relatively similar in terms of their supply chains. In order to manage the sustainability of Iran's telecommunication supply chain, telecommunication networks affiliated to Iran Telecommunication Company (ITC), operating in the field of data and internet services and fixed telephone were selected in 31 provinces. The intended networks were also providing an important part of the country's needs including Mobile Telecommunication Company of Iran, a subsidiary of Iran's telecommunication networks, as one of the top companies in this industry. Accordingly, all the networks studied in this study needed to be identified with regard to communication sustainability risks, since they provide management solutions to each other by segregating risks. In this study, 68 managers and 72 experts participated in different work teams of telecommunication networks.

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“…Because the use of the correct data set becomes important at this stage. The correct structure established will enable the production of more realistic predictions [18].…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Estimation of the Probability of Bank Customers by Artificial Neural Networks

Balcıoğlu¹,

Sezen²

2020

ujm

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One of the most important issues in today's banking sector is that they want to add new customers to their bodies and want to keep their current customers. For this, banks spend a lot of money. Because of the methods they use, they either have to keep information flow to all their customers or they have to focus on their customers, whose traditional methods of probability leave. In this article, the probability of bank customers left by artificial neural networks is estimated. Presently, with the improvement of technology, a growing number of banks, holding existing clients for banks and combining new clients into their systems have earned significance. As the Bank's efficiency, it is essential to define the clients with the contingency of dropping within existing clients. The client pool generated by the classical methods utilized leads to the introduction of activities on a major number of groups for the bank. This outcomes in higher expenses for banks. The main purpose of this paper is to lay the foundation for further research for precision of who will the bank as a customer. The findings of our study with artificial neural networks have described a minimal and more compressed group as clients who are likely to leave. In this way, it is foreseen that the likely costs of banks will minimize. As a result of this study, the most accurate estimation was obtained by educating artificial neural networks with the most accurate values.

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A neural network approach for retailer risk assessment in the aftermarket industry

Cited by 26 publications

References 68 publications

Analyzing the effects of visual aesthetic of Web pages on users’ responses in online retailing using the VisAWI method

Analyzing the effects of visual aesthetic of Web pages on users’ responses in online retailing using the VisAWI method

A six-dimensional model for supply chain sustainability risk analysis in telecommunication networks: a case study

Estimation of the Probability of Bank Customers by Artificial Neural Networks

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