341 research outputs found
Drivers Affecting the Users' Attitudes Towards Using Financial Services in Blockchain-Based Platforms
Research Article Hamed Heidari* Morteza Mousakhani** Abstract: Providing financial services on Blockchain-based platforms as a new approach to financial markets has a lot of room for growth. This demonstrates the need to study and identify the drivers of users' attitudes towards using Blockchain-based financial services. For this purpose, technology adoption models have been used. Using a combination of several technology adoption models, this research aims to study the factors affecting customers' intention to use financial services in Blockchain-based platforms to determine what factors drive users to use them. For this purpose, first, the literature was studied and a conceptual framework was extracted, and in accordance with the model, a structural equation model has been developed. The results have shown that the individual tendency to trust and also structural guarantees, directly affect initial trust and in the following users’ initial trust influences users' behavioral intentions. In addition, technological features and task characteristics, directly influence technology-task fit and technology-task fit affects users' behavioral intention. Furthermore, expecting performance directly affects the behavioral intention of users. This study has concluded that the propensity to use financial services in Blockchain-based platforms is under the influence of social needs and even Blockchain constraints cannot reduce the desire to use financial services based on this technology. * Ph.D. Student, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. ** Faculty Member, Department of Management, Science and Research Branch, Islamic Azad University, Tehran (Corresponding Author: [email protected]) , Iran. *** Faculty Member, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. **** Faculty Member, Department of Management Faculty of Management, University of Tehran, Tehran, Iran. ****** Faculty Member, Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. Received: July 16, 2019 Accepted: January 20, 2020 Research Article Drivers affecting the users' attitudes towards using financial Services in Blockchain-Based Platforms Hamed Heidari* Morteza Mousakhani** Mahmood Alborzi*** Ali Divandari **** Reza Radfar****** Abstract: Providing financial services on Blockchain-based platforms as a new approach to financial markets has a lot of room for growth. This demonstrates the need to study and identify the drivers of users' attitudes towards using Blockchain-based financial services. For this purpose, technology adoption models have been used. Using a combination of several technology adoption models, this research aims to study the factors affecting customers' intention to use financial services in Blockchain-based platforms to determine what factors drive users to use them. For this purpose, first, the literature was studied and a conceptual framework was extracted, and in accordance with the model, a structural equation model has been developed. The results have shown that the individual tendency to trust and also structural guarantees, directly affect initial trust and in the following users’ initial trust influences users' behavioral intentions. In addition, technological features and task characteristics, directly influence technology-task fit and technology-task fit affects users' behavioral intention. Furthermore, expecting performance directly affects the behavioral intention of users. This study has concluded that the propensity to use financial services in Blockchain-based platforms is under the influence of social needs and even Blockchain constraints cannot reduce the desire to use financial services based on this technology. * Ph.D. Student, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. ** Faculty Member, Department of Management, Science and Research Branch, Islamic Azad University, Tehran (Corresponding Author: [email protected]) , Iran. *** Faculty Member, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. **** Faculty Member, Department of Management Faculty of Management, University of Tehran, Tehran, Iran. ****** Faculty Member, Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. Received: July 16, 2019 Accepted: January 20, 202
Identifying the impact of a technology-oriented strategy on the organizational performance of the banking system: Case study Bank Tejarat
The current research was conducted with the objective of identifying the effect of a technology-oriented strategy on the organizational performance of a banking system in Bank Tejarat. Regarding its objective, the present research is an applied study. Also, data collection was survey-oriented and cross-sectional, then the study was of survey-oriented correlational research. The statistical population of the study consisted of 532 Bank Tejarat employees in west Tehran branches. According to the Cochran's formula, 223 subjects were considered as the sample required for a population of 532 subjects. These individuals were selected using simple stratified sampling. For data collection, a standard questionnaire developed by Hao and Song (2015) and Miller (1996) was used. The research instrument validity was evidenced through divergent, convergent and content validities. The research instrument reliability was also verified via Cronbach's alpha coefficient, shared reliability and combined reliability. Data were analyzed using structural equation modeling and SmartPLS software. The results showed that technology-oriented strategy had a positive and significant effect on the organizational performance of the banking system (0.505). Also, both market-based strategy (0.560) and technology-oriented strategy (0.519) had a positive and significant effect on the organization performance
A generic framework for analysing places in the public arena of cities: a mixed-methods study of cities across cultures
Developing a Balanced Scorecard Model for LARG Supply Chain Evaluation: A Dynamic Approach
Purpose – Organization managers tend to use an optimal and precise method to evaluate the performance of their organization by understanding the organization dynamics. The immediate research goal was to propose a dynamic model for the performance evaluation of a LARG supply chain with the balanced scorecard (BSC) approach. Design/methodology/approach – In this study, dynamic simulations are carried out for the performance evaluation of a supply chain. At first, a strategy map was designed, and measures are identified for each strategic objective considering the LARG supply chain measures. Afterward, a quantitative dynamic model was designed to identify the mathematical relationships among them. Findings – The proposed model is implemented in a company operating in the automotive industry. Based on the company’s strategic objectives, scenarios were designed and analyzed to evaluate the performance of the LARG supply chain with the balanced scorecard approach. Research limitations/implications – The BSC- based LARG supply chain evaluation has been studied for the auto part manufacturer sector. The different industry may lead to different results as the model designed important in each sector may differ as well as how each model is designed.Originality/value – The dynamic model enables managers to identify the determinants of the supply chain performance and set the scene for the necessary decisions by analyzing the possible scenarios in advance
Providing a Model for Setting Priorities in KM for Improving Customer Relationship Management (Case study: Sepah Bank)
In recent decade, with increasing competition, attracting and retaining customers are known as the most valuable competitive tool for many organizations. Customers have a key role in success of businesses, so the managing of customers' relationship is one of organization priorities. Although some organizations have customer relationship management, they are not able to absorb customer satisfaction. With formation of private banks in Iran, state banks were exposed with many problems in marketing. This article has attempted to present a model of improving customer relationship management with knowledge management by managing efficiency and priority knowledge of the organization. Therefore knowledge management factors including customer knowledge, staff knowledge, knowledge of the market that are called independent variables and customer relationship management variables (management services, complaints, suggestions) were identified as dependent variables, were selected. Bank Sepah was chosen as the sample. For data analysis, structure equation model and lisrel software are used
Bitcoin Adoption as a New Technology for Payment Mechanism in a Tourism Collaborative Network
Part 5: Blockchain and Knowledge GraphsInternational audienceBitcoin is designed to operate as a fine mechanism of Collaborative Network (CN). The Tourism Industry is a particular sector in which this emerging technology, as a new mechanism of payment based on peer to peer and autonomous characteristics, could have a significant impact on growth and helps to reach untapped regions. Given its revolutionary nature, Bitcoin is not yet penetrated in this industry, while the main issue is the number of players who are connected from service providers to tourists, agencies, and suppliers. These heterogeneous players need to use Bitcoin simultaneously when compatibility is the major problem. This means that the Technology Adoption/Acceptance are affected by the behavior of the Tourism Collaborative Network (TCN). The aim of this work is to develop a Technology Acceptance/Adaptation model to evaluate the situation of Bitcoin in TCN and identify factors affecting Bitcoin acceptance/adoption in the context of CN as well
Analyzing Obstacles to Poetry Comprehension among Persian Language and Literature Students at Dari Department of Jawzjan University
This research delves into the intricacies of poetry dictation challenges faced by students, with a specific focus on the Dari Persian Language and Literature Department at Jawzjan University. Notably, existing studies have predominantly addressed issues arising from incorrect poetry reading, yet a gap exists in understanding the unique problems within this academic environment. The primary objective is to identify and remediate factors impeding accurate and fluent poetry dictation among students. Employing a quantitative approach and Cochran's formula, the study involved 108 randomly selected students from the first, fourth, and fifth semesters in the Dari language and literature department at Jawzjan University, Afghanistan. The research, facilitated through a survey questionnaire developed by the author, employs descriptive statistics in SPSS for data analysis. Key findings reveal critical challenges, including subpar teaching quality of the Persian language in schools (mean score of 2.59), elevated stress and anxiety levels during poetry dictation (mean score of 2.54), inadequate mastery of vocabulary (mean score of 2.48), and a dearth of practice among students (mean score of 2.39). The significance of these findings lies in their potential to substantially enhance poetry dictation skills, providing valuable insights for both educators and students, and addressing the unique challenges within the academic context of Jawzjan Universit
Prioritization of Purchasing Criteria by Linear Best-Worst Multi-Criteria Decision-Making Method for Optimal Provision of Medical Supplies
Introduction: One of the main challenges of the health system is improving the quality of healthcare services by adjusting the costs. The right choice of tools will bring economic savings besides excellent service quality. Since medical supplies are among the fundamental and costly elements in providing services, the expertise of purchasing has become an important and complex issue. This study aimed to prioritize criteria for purchasing medical supplies.
Method: This research is an applied study conducted with a descriptive survey method. In this study, the criteria collected from related studies and completed with the opinion of experts were prioritized and weighted for four categories of medical supplies by the linear best-worst multi-criteria decision-making method using Lingo and Excel software.
Results: By weighting sixteen sub-criteria of purchasing medical supplies in the form of five categories, the importance of each criterion was determined. According to the results, the two sub-criteria of "quality" and "price" were recognized as the most important and "seller's record" as the least important indicator in the purchase of medical supplies.
Conclusion: Using the linear best-worst multi-criteria decision-making method with definite consistency of results and high reliability led to the prioritization and accurate weighting of criteria for purchasing supplies. Paying attention to the indicators in the purchase of medical supplies, in addition to guaranteeing the quality and continuity of services, will lead to a significant reduction in supply costs
Data mining application for customer segmentation based on loyalty: An iranian food industry case study
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