International Journal of Innovation in Management, Economics and Social Sciences
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AIoT-based Sustainable Smart Supply Chain Framework
Get PDFPurpose: Supply chains in today's global environment operate in a market that is increasingly complex and dynamic in nature. In such an environment, a stable supply chain to respond to drastic changes in customer needs becomes inevitable. Based on these studies, it is obvious that organizations operating in the field of supply chain should accelerate their focus on sustainability and use technologies such as "Internet of Things" (IoT) and artificial intelligence to achieve the organization's goal of creating sustainable processes.
Methodology: The presence of the Internet of Things, along with artificial intelligence technology, has created Artificial intelligence of things (AIoT) technology, which gives the big data from the Internet of Things great power. In this research, an attempt has been made to study and analyze the key dimensions, components and indicators of the AIoT-based sustainable supply chain. Also, a conceptual framework for Padidar intelligent supply chain based on these evolving technologies is presented, which can help to understand the elements of this intelligent supply chain in order to optimize.
Findings: A study of the literature shows that investing in this technology to achieve sustainable benefits is inevitable. In addition, the use of this technology due to networking and the presence of the Internet requires appropriate security solutions for information technology, a workforce with the required set of skills, sharing information in an integrated environment with business partners.
Originality/Value: The generalities of AIoT-based sustainable supply chain components in general, and things can be added to different industries and behaviors. Understanding the dimensions of this framework can always help to implement it effectively
Investigating the Impact of Stock Price Index on Credit Risk of Banks Listed in the Stock Exchange Market
Get PDFPurpose: Full employment has a mysterious meaning, full employment certainly does not mean employment of any member of the active population of the society who is of working age.one reason is that there are probably always people who find themselves unemployed due to various disabilities. Another reason is that at any time you can find workers who want to change jobs and remain unemployed during the job change period.
Methodology: The method of descriptive correlation research was used and in terms of purpose, type of research It is applied and the library method is used to complete the literature and research background and the field data is collected through the archives and documents of the Central Bank website and the data of the Stock Exchange and Securities Organization to facilitate the analysis of data from Excel spreadsheet and regression method and Eviews statistical software are used to test research.
Findings: The results show that the effect of stock index on variable risk and software use and comprehensive statistics of our research includes all banks and credit institutions listed on the stock exchange.
Originality/Value: The available statistics show that the developed stock exchanges are located in developed countries and in these countries, more than anything, investment security is provided for the entry of domestic and foreign investors in the stock exchange. Market security is affected by various factors such as political, economic, and social and others. But in this study we intend to analyze macroeconomic variables
Big Data IoT-based Agile-Lean Logistic in Pharmaceutical Industries
Get PDFPurpose: In today’s world, with the presence of huge volumes of data, although organizations have faced many problems, using big data analysis has been able to significantly improve their efficiency and integrate information in the supply chain through the topic of computing. Cloud and big data achieve coordination between components and improve communication. On the other hand, Internet of Things (IoT) technology tools are one of the most important sources of big data production, and understanding and correct use of this data and their timely analysis using big data analysis techniques and technologies based on artificial intelligence can be effective steps to improve supply chain processes. Also, the use of these technologies can play an important role in process agility and, as a result, supply chain resilience.
Methodology: In this study, the dimensions and key components of the use of large data obtained from the Internet of Things (IoT) in an industry's supply chain are investigated as a case study. Finally, a model for implementing an agile and lean supply chain based on IoT data analysis to improve the supply chain performance of these industries during emergency drug distribution during critical conditions is presented.
Findings: This study shows that these technologies can be used as a powerful enabler, especially in the distribution of fast-acting pharmaceutical products.
Originality/Value: In this paper a model for implementing an agile and lean supply chain based on IoT data analysis to improve the supply chain performance of these industries during emergency drug distribution during critical conditions is presented
Opportunities and Challenges of Applying Artificial Intelligence in the Financial Sectors and Startups during the Coronavirus Outbreak
Get PDFPurpose: The main goal of this article is the comprehensive study of the applications of artificial intelligence in financial sectors in addition to startups and its impacts on such cases along with Covid19.
Methodology: we have tried to study the applications of artificial intelligence in different areas especially financial fields such as accounting, auditing, management, capital market, banking etc. On the other hand, we have studied the impacts of artificial intelligence on startups during Covid-19 too.
Findings: The results showed that AI can be a powerful tool in financial fields such as investment advice, asset allocation, fraud detection, portfolio management and etc. and startups such as increasing production and productivity, time management, data management and analysis and etc. during the Covid-19 outbreaks and it can decrease the harmful effects of Coronavirus. Thus, timely actions can be taken.
Originality/Value: The main contribution of this paper is a comprehensive and specialized look at the discussion of the applications of artificial intelligence in the field of finance as well as startups during Covid19. We have tried to consider subjects and contents which cover most of the paper
The impact of education and training on the success of small and medium-sized enterprises
Get PDFPurpose Many business management researchers regard the small and medium-sized enterprise sector as the pillar and primary impetus of economic growth, particularly in developing countries. As a result, most governments throughout the world now place a strong emphasis on small business development in order to spur economic growth. The purpose of this study was to see how education and training affected the success of small businesses.
Methodology: This study uses a qualitative research approach to collect and analyses data. The study’s 20 small business owners and managers in South Africa were selected using a non-probability sampling approach. Data was collected through interviews, and the results were analyzed using subject analysis.
Findings: This study’s findings reveal that a lack of human capital education and training is one of the primary causes of SMEs’ high failure rate, which also explains why these enterprises fail so frequently in most countries. It is clear that small business owners and managers, particularly in most developing nations such as South Africa, should consider spending more on business education and training in order to gather information that would help them establish unique business strategies.
Originality/Value: The impact of education and training on the success of small and medium-sized enterprises
Do Migrant's Remittance Inflow Affects the Dutch Disease: Evidence from Indonesia
Get PDFPurpose: Remittances have grown in measurement and importance. While such inflows can improve economic growth, they may additionally also reason domestic foreign money to respect and hurt exports – an aspect of impact generally referred to as the Dutch disease. Statistics exhibit that remittances influx to Indonesia grew from 1% of GDP in 1984 to over 9% of GDP in 2020. Theoretically, such a massive influx of overseas foreign money into an economy may lead to Dutch diseases.
Methodology: For this purpose, they learn about employing the Autoregressive Distributed Lag Model (ARDL) to observe the impact of migrant remittances on the actual fantastic exchange charge spanning the duration from 1984 to 2020.
Findings: In the long run, they find out about finds an effective relationship between migrants’ remittances and the real high-quality change rate, which means that evidence of Dutch Disease risk in Indonesia. This grasp of the Indonesia rupiah relative to different competing countries encourages import and discourages export, leading to the Dutch disease effect.
Originality/Value: This study, therefore, investigated whether the large inflow of remittances into the economic system reasons Dutch disease
Tax Compliance Behavior of Micro-Multinational Enterprises (mMNEs)
Get PDFPurpose: Digitalization transforms business processes and benefits enterprises to operate across borders. As a result of digitalization, the business operates internationally through micro firms. These micro firms are smaller entrepreneurial firms identified as micro-multinational (mMNEs) presence in different countries used as a vehicle to artificially reduce taxable income or shift their profits to low or no-tax jurisdiction.
Methodology: Although the growing number of research to understand the compliance behavior of taxpayers, there is a lack of research to understand the tax compliance behavior of micro multinationals. Under the phenomenological approach, we uncover the factors that influence on tax compliance behavior of the entrepreneurs in the digital economy.
Findings: Broadly, the tax compliance behavior of micro multinational enterprises is influenced by the taxing capability of the authority and taxpayer confidence and Technology adoption in tax compliance increase taxpayer interaction.
Originality/Value: In this study we attempted to understand the tax compliance behavior of Micro-Multinational Enterprises
Spending Allocation, Capacity and Village-Owned Enterprises: Does it Matter to Village Income in Indonesia?
Get PDFPurpose: This paper aims to analyze the influence of village spending, village device capacity, and village-owned enterprise on village income. The data source is The Village Potential Statistics 2018, testing was conducted on 5,791 villages in Indonesia.
Methodology: The methodology used in this study is ordinary least square regression analysis by comparing two regression models both Java Island and outside Java Island.
Findings: The results of the study found that either Javanese models or outside Javanese models showed spending on government administration, development, empowerment, and development had a positive and significant effect on village income levels. The number of village apparatus and village-owned enterprises units has a positive and significant effect on the village income level while in outside Java does not. Meanwhile, the education level of head of village, the education level of secretary had no influence on the village's income level in Java Island. Whereas in Outside Java, the level of education of the village head, the number of village apparatus also positively affects the village income level. Then, the education level of the village secretary, and the village-owned enterprises outside Java Island did not have a significant influence on the village income level.
Originality/Value: This paper have a depth analyze to village income level in Indonesia with compared between Java Island and Outside Java Island
Assessment of Cyber Risks in an IoT-based Supply Chain using a Fuzzy Decision-Making Method
Get PDFPurpose: The Internet of Things (IoT) is a relatively new paradigm that is growing rapidly in modern wireless communication scenarios. The main idea of this concept is the pervasive presence of all kinds of objects around us. This technology is the basis of today's intelligent life and is known as one of the most important sources of big data. Meanwhile, businesses are no exception to this rule and try to use the Internet of Things to make their business smarter. Supply chain management is a goal-based goal of linking business operations to provide a common view of market opportunity.
Methodology: Using IoT technology, all major parts of the supply chain, including supply, production, distribution and sales, can be affected. Because this evolutionary technology is intertwined with Internet technology, the use of network-based tools can always create risks for business owners who use these technologies. Therefore, understanding and investigating a variety of cyber risks in this area can It is very important and by understanding their hands, we can prevent many future risks. Linear analysis based on hierarchical analysis is used.
Findings: The results show that privacy is very important in interaction with suppliers as well as customers, and therefore those effective measures to deal with these risks can reduce many of the problems caused by this technology.
Originality/Value: This paper attend to assessment of cyber risks in an IoT-based supply chain using a fuzzy decision-making method
Investigating the Mediating Role of Organizational Culture in the Relationship between Transformational Leadership and Organizational Effectiveness
Get PDFPurpose: The aim of this study was to investigate the effect of transformational leadership dimensions on organizational effectiveness with respect to the mediating role of organizational culture.
Methodology: The statistical population of this research is Iranian knowledge-based companies, which at the time of collecting research data, their number is 4551 companies. Data collection method was based on three questionnaires: MLQ leadership styles, Hofstede organizational culture and Parsons organizational effectiveness. The analysis of research data was done through structural equation modeling and using Smart PLS software in two parts: measurement model and structural model. The sampling method used in this study is stratified random sampling method and the sample studied in this study using Cochran's formula, 354 companies were obtained, of which 354 questionnaires were distributed online among these companies and 175 The completed questionnaire was collected for analysis.
Findings: The findings of the present study show that the effect of ideal influence and motivational motivation variables on organizational culture and also the effect of organizational culture on organizational effectiveness is positive and significant and also organizational culture mediates the relationship between transformational leadership and organizational effectiveness.
Originality/Value: Given that traditional methods of management and leadership, in today's changing and dynamic conditions, lack the necessary effectiveness, so a change in the leadership style of managers and the use of transformational leadership is necessary to achieve organizational effectiveness