درخت حوزه‌های تخصصی

Crowdfunding is a new technology-enabled innovative process that is changing the capital market space. Internet-based applications, particularly those related to Web 2.0, have had a significant impact on sectors of society such as education, business, and medicine. The goal of this research is to fill a gap in the literature on mathematical modelling and prediction of ensemble learning in order to evaluate crowdfunding projects. The Mathematical model determines the cost of funding for the entrepreneur and the return investors will receive per period. A correct financial model is essential in order to keep all three stakeholders involved in the long term. The results show the designed model improved performance in predicting the evaluation of success or failure of Crowdfunding projects.

Customer relationship and recognition of the customer financial behaviour are considered as important strategic factors involved in successful performance of the banks. So, identifying these factors and prioritizing them help to make better decisions to complete the value chain of the banks’ financial services, especially in development banks that tend to have midterm and long-time presence in financial markets. So, the present research aims to identify and prioritize the mentioned factors in Bank of Industry and Mine as one of the main development banks of Iran. The present research has been performed in two phases. In the first stage, or qualitative part, In the first stage, during the review of the literature and the opinions of banking experts, the relevant indicators were identified. In the second stage, or quantitative part, the statistical data of variables in the period of 2012-2017 was collected. Then, the identified factors were prioritized by multi-criteria decision making in TOPSIS solver software. According to the findings, environmental factors are the main indicators affecting the bank customers’ financial behaviour. The most important customer-related factor was the definite profit paid to the customer; the most important bank-related factor was credit risk; and the most important environmental factor was economic growth.

The aim of the present paper is to determine influence of job crafting on B2B salesperson performance through meaningful work in banking industry. This study applies role-resource avoidance approach theory to explain how job crafting affects Business to Business salesperson outcome and behavioral performance through mediating role of meaningful work. To achieve the research objectives, research data were collected from 175 B2B salesperson and their managers branches of four different Banks of Iran. Structural Equation Modeling was used by SmartPLS (2) software to analyze the impact of job crafting activities on salesperson performance through mediating role of meaningful work. Results of the present study indicated that three types of job crafting activities (i.e., role-approach crafting, resource-approach crafting and role-avoidance crafting) are positively related to salespersons’ selling and non-selling behavioral performance through meaningful work. The resource-avoidance activities are negatively related to salespersons’ selling behavioral performance through meaningful work, but they have not scientific influence on non-selling behavioral performance. Moreover, the salesperson’s both selling and non-selling behavioral performance is positively related to salesperson outcome performance. Prior quantitative studies of job crafting have focused on role orientation or resource orientation but in this study, we used role-resource avoidance approach perspective that suggested new and wide taxonomy for job crafting such work role expansion, work social expansion, work organization, adaptation, metacognition, work role reduction and withdrawal activities.

The purpose of this study was to investigate the effect of reliable leadership and Job crafting on customer orientation and service recovery performance in Sepah Bank in Khuzestan province. The present research is practical in terms of purpose and is descriptive survey research in terms of research method. Research data using a standard integrated questionnaire to measure reliable leadership variable with 16 items of standard questionnaire of Walumbwa et al. (2008), to measure customer-oriented performance variable with 7 items of Dimitriadis standard questionnaire (2007) to measure performance variable Service retrieval with 5 items of the standard questionnaire of Babakos et al. (2003) and to measure the variable of Job crafting with 21 items of the standard questionnaire of Thames et al. (2012) were collected in the form of Likert scale. The statistical population of the study was 605 employees of Sepah Bank in Khuzestan province, which according to Cochran's formula, 235 people randomly formed the volume of the research sample. Cronbach's alpha of the numerical value of this coefficient for the standard questionnaire was generally 0.835. SPSS and AMOS statistical software were used for an inferential analysis of research data. The results showed that, given that the critical ratio is equal to 4.486, which is more than 1.96, reliable leadership has a positive effect on customer orientation; also, given that the critical ratio is 2.646, we conclude that reliable leadership has a positive effect on service recovery performance; given that the critical ratio is 6.158,

Given the emergence of digital transformation from Industry 4 and the rapid dissemination of technological innovations as well as their impact as a strong driving force in new banking businesses, efforts should be made to identify the dimensions of this core factor as rapidly as possible. Providing a comprehensive overview of all aspects of the model. The purpose of this article is to provide insights into the state of the art of digital transformation in the banking industry and suggest ways for future research. Existing literature, especially research for 2019 and 2020, has enhanced our understanding of the specific aspects of digital transformation in future banking, and we are now grasping a clearer picture of nature, how, and the consequences of these in the years ahead. However, all its dimensions are not yet clear. In this article, by review of 218 articles in the WOS database, and the analysis has utilized the data-driven tools,165 questionnaire and 90 specialized interviews with experts, extracted factors of the research, and using SMART PLS statistical software, ANFIS and MATLAB software for analysis. The paper, therefore, tends to understand Open Banking Innovation based on the digital transformation area and its dimensions in its previously known domains.