فصلنامه پژوهش های مدیریت منابع سازمانی
سال چهاردهم شماره 3 (پیاپی 55، پاییز 1403)

Timely delivery of medications, medical equipment, and other essential supplies is critical to patient care and can often be life-saving. Delivery delays in the healthcare supply chain can lead to increased costs and operational challenges for healthcare organizations and affect patient care and financial stability. Efficient and reliable supply chain management is critical to reduce these risks and ensure integrated performance in the health industry. This research addresses the delay in the delivery of health commodities in the global health supply chain of the United States Agency for International Development. It presents a framework based on the support vector machine technique and Bayesian optimization to predict the delivery status of health commodities. It also determines the features that have had the greatest impact in predicting the status of commodities delivery for data-driven health supply chain management.

The study's research method is design science, which presents a framework based on the support vector machine technique and Bayesian optimization to predict the delivery status of health commodities. It also compares the performance of different classification algorithms to predict the transportation status.

The results indicate that the presented framework based on the support vector machine technique and Bayesian optimization leads to a classification accuracy of 95%, outperforming other techniques to predict delivery delay. The results showed that the features of the destination country, shipping method, supplier, and production location are the most influential features in predicting the delivery status.

Today, service industries have an basic and important role in economic development of countries. in this regard, the role and importance of insurance industry as a supporting industry is undeniable. on the other hand, increasing competition in the insurance industry has caused most managers of this industry to consider a solution for the permanent presence in business .there is no doubt that the insurance industry is backward from the perspective of technological innovations to other financial services such as banks and stock exchanges. accordingly, this study aimed to investigate the digital marketing in insurance industry (opportunities, challenges and solutions) .in order to achieve the main purpose of the study after doing ten interviews and reaching theoretical saturation, three stages of thematic analysis were used. at the first stage of open coding, all interviews were conducted and then open coding were carried out. so that the data collected in the interviews were written down on the paper, then by analyzing the line to the line and paragraph to the paragraph and paragraph to the paragraph of the existing texts and concepts were created. these concepts were adapted from the writings and in some cases the same way that in total, 49 primary codes were created out of ten interviews. then, due to the multiplicity of codes, all similar elements based on the conceptual and semantic similarity in their own group were classified into 37 sub categories. finally, eight major categories of digital marketing opportunities include customer relationship management, product introduction, cost management, marketing management, and four main categories in the challenges of digital marketing challenges, social factors, legal factors and marketing factors were created.

In recent years, digital transformation has created a revolution in the way companies do business and their relationships with customers, suppliers, and other stakeholders, and has led to the growth of innovation and increased value offered to customers. On the other hand, some organizations, lacking a deep understanding of the concept of digital transformation, consider it a partial and project concept; This is despite the fact that digital transformation is a complex and continuous activity that can significantly affect a company and its activities. In fact, digital transformation can be seen as a deep transformation of business activities, processes and technologies to take advantage of opportunities and changes through a combination of digital technologies. Now, in this article, we are going to examine the digital transformation with the Meta Synthesis method. The present research is applied from the point of view of the goal, and in this research, the Meta Synthesis method and the approach of Barroso and Sandelowski (2007) have been used to review the research literature. The statistical population of the research includes research conducted in the field of digital transformation. The data collection tool is open coding to identify themes and components of digital transformation. In this study, to identify the components of digital transformation, 36 codes were identified as basic themes. Among these, 16 codes were selected as organizing themes and 4 codes were identified and formed as overarching themes with the titles of "planning, soft structures, capabilities, technology and communication".

Money is one of the elements of human life that has been common in different forms at different times. One type of emerging digital asset known as money is cryptocurrencies. The development of block chain technology and cryptocurrencies has led many central banks around the world to conduct economic and legal researchs on digital currency issuances.  The purpose of this study is to develop strategies for using national Cryptocurrency in the banking system. Data collection was done through library studies and interviews with experts. Based on the results, a questionnaire including the strengths and weaknesses of the banking system and the opportunities and threats has been developed and completed by members of the statistical sample. Using SPSS software, each of these factors has been prioritized in order of importance, and using the SWOT matrix, the strategies of using national Cryptocurrency have been developed. The strategy of issuing national cryptocurrencies on the basis of internal blockchain by the central bank with the support of national currency, gold and its foreign reserves and with the participation of commercial banks, the most important and publishing common cryptocurrencies with neighbors and trading partners on the basis of common blockchain  for facilitating monetary exchanges has been chosen as the least important strateg.

The purpose of this research was to explore the process of sensemaking of challenging constructive deviant behaviors among the employees of a public organization, within the framework of the constructivist design of grounded theory. These are the behaviors that challenge the existing norms of the organization and break the rules to help the organization. For this purpose, in-depth interviews were conducted with 15 employees of Vali-Asr University of Rafsanjan who were invited to cooperate through theory sampling. Data analysis was done during three stages of primary, focused and theory coding. According to the findings, it was concluded that due to the deficiencies in the laws and regulations, their implementers suffer from identity crisis. They are forced to choose their philosophy of ethics in practice and in this regard choose result-orientation in order to regain their identity by serving the organization, even if they violate the law and regulations. In this way they call for deviance. Meanwhile, social learning of constructive deviant behaviors in the organization is effective in their deviant actions. Perceived social approval has an effect in reducing cognitive dissonance following controversial constructive deviant behavior by the actor. The increase in organizational productivity and the satisfaction of clients were recognized as other consequences of the challenging constructive deviant behaviors in the studied organization.