Manochehr Zamani Farizhandi; Payam Hanafizadeh; Zohreh Dehdashti Shahrokh
Abstract
Nowadays, banking industry analogous with another industries has been encountered with digital transformation. Such transformation stemmed from convergence technologies. The underpinning point of convergency in such technologies is employing multi-channel services in order to delightful and remarkable ...
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Nowadays, banking industry analogous with another industries has been encountered with digital transformation. Such transformation stemmed from convergence technologies. The underpinning point of convergency in such technologies is employing multi-channel services in order to delightful and remarkable customer experience. Based on the importance of customer experience, multi-channel services in banking industry has assumed significance attention among banking practitioners and scholars. Consequently, delivering services through different, aligned and complementary channels pointed as strategic requirement in banking industry. Accordingly, this study seeks to develop a framework for value creation for multi-channel services in banking. To accomplish such an objective, utilizing content analysis technique, 47 articles published in the realm of multi-channel services in banking in the period 2004 to 2019 considered and assessed. The findings suggest that a value creation framework for multi-channel services in banking must consider different factors such as: beliefs about intelligent financial behaviors, customer enablers, intelligent norms, intelligent tasks and intelligent technologies.
Moslem Alimohammadlou
Abstract
The purpose of this study is to consider the importance role of operational and financial variables and also extract these variables in four-echelon supply chain network in a systematic mode. In addition, this study explores the direct and indirect relations of variables, clustering concepts, making ...
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The purpose of this study is to consider the importance role of operational and financial variables and also extract these variables in four-echelon supply chain network in a systematic mode. In addition, this study explores the direct and indirect relations of variables, clustering concepts, making co-occurrence networks and calculating micro and macro indices of Scientometrics using co-occurrence analyses. The methodology of the research is content analysis and Scientometrics. Data were collected from four databases (science direct, emerald, wiley, SID) between 2013-2016. Data analyzes were done by Excel, VosViewer and Nodexl. The results of the content analysis extract 106 variables that the most frequent variables were demand, profit and price. In addition, co-occurrence analysis of operational and financial variables shows high Solidarity of the network (more than 80 percent density) that the result confirms the goodness clustering of the variables. Regards to this study, researchers and practitioners can use and employ the results in difference modeling (like: mathematical modeling, structural equation model, …).
