International Journal of Innovation in Management, Economics and Social Sciences
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Harmonization of Tri Hita Karana Local Value in Tourism Development in Sidetapa Village
Get PDFPurpose: This paper describes the form of implementing the value of Tri Hita Karana (THK) in the development of a tourist village in Sidetapa Village, Buleleng Regency.
Methodology: In this study, data were collected through observations and interviews with the community in Sidetapa Village, especially those who are actively involved in tourism development and their tourism-supporting products.
Findings: In this study, it was found that the implementation of the THK value in the village included the persistence of the ngayah system (voluntary) in carrying out religious ceremonies, the prohibition of cutting bamboo on Sundays, and the persistence of women's weavers who work together to produce products ordered by consumers.
Originality/Value: Through this research the value of local wisdom in the form of harmonization of three things namely to God, nature and fellow human beings, is well implemented by the people in Sidetapa Village, even though they have experienced development from a village that initially tended to be closed to become open. The presence of tourism in Sidetapa Village has not only changed the way of behaving in a more open manner, but has made them more protective of nature, maintaining their traditions as well as strengthening social bonds with others
Security and privacy analysis based on Internet of Things in the fourth industrial generation (Industry 4.0)
Get PDFThe connection of smart devices using the Internet has dramatically changed the way people live, and this concept has also been extended to the industrial sector. This practice not only provides more stable, faster, and safer communications but also makes it possible to realize the concept of the smart factory in the fourth industrial revolution. The Internet of Things uses a unique Internet Protocol to identify, control, and transmit data to individuals as well as databases. Data is collected through the Internet of Things, stored in cloud storage, and managed and calculated through analytical tools. Internet of Things security is a field of technology that focuses on protecting connected devices and networks in the Internet of Things (IoT). Ensuring the safety of networks with connected IoT devices is critical. Security in the Internet of Things includes a wide range of techniques, strategies, protocols, and measures aimed at mitigating the ever-increasing vulnerabilities of the Internet of Things in modern businesses. The simultaneous connection of objects also brings privacy concerns. For this reason, in this research, an effort has been made to examine and analyze the most important privacy requirements in the Internet of Things in digital businesses in Industry 4.0. In this regard, by using experts' opinions and literature review, privacy requirements were extracted and evaluated using fuzzy non-linear decision-making methodology. The results showed that acquired and intrinsic information has the highest importance
Identifying and ranking key performance indicators in football clubs
Get PDFKey performance indicators are actually measurable variables based on which we can measure the success rate of an organization in reaching defined key goals. In order to create key performance indicators, steps, and standards must be passed, each of which is of great importance. Based on how the key performance indicator (KPI) is defined and determined, it is possible to measure the performance of a person, department, process, campaign, or strategic goals of a brand. In fact, KPIs can be considered for different industries and for different levels of each business. Considering the importance of football clubs and their high social impact, the purpose of this research is to investigate these key performance indicators in order to grow and improve their comprehensive performance. In order to extract data, a literature review was used. Data refinement and prioritization were done using the fuzzy decision-making method, and the opinions of active experts in clubs and football players were used. The results show that indicators based on infrastructure development are among the most important indicators and should be given special attention
Presenting the smart- sustainable supply chain model based on artificial intelligence
Get PDFPurpose: Artificial intelligence (AI) has the potential to transform many aspects of business operations. This technology can be used in various fields such as data analysis and demand forecasting, improving logistics and transportation routes, and identifying inefficient points in the supply chain. This research aims to identify the dimensions and characteristics of sustainable and intelligent supply chains based on artificial intelligence are investigated.
Methodology: This article uses systemic review to deeply examine the literature review and summarize the findings in the field.
Findings: Using AI in supply chain will lead to improved response to changes in demand, reduced delivery times, and lower costs, and will lead to sustainable development. The integration of environmental, social, and economic aspects is continuously influencing general management decisions and especially supply chain management and operations management. Therefore, organizations are rethinking and redefining the concept of operations management using the supply chain approach based on smart technologies.
Originality/value: In this paper, the application of artificial intelligence in sustainable supply chain management has been investigated and the effects of this technology on this field have been investigated. Also, the issue of artificial intelligence in the supply chain and the need to use it by businesses is also discussed. In addition, the potential applications of artificial intelligence in the sustainable supply chain are also investigated and a conceptual framework is also presented for it
Designing a combined Markov-bayesian model in order to predict stock prices in the stock exchange
Get PDFInvesting in shares offered on the stock exchange is one of the most profitable options in the capital market. The stock market has a non-linear and chaotic system that is influenced by political, economic, and psychological conditions. Forecasting time series, such as stock price forecasting, is one of the most important problems in the field of economics and finance because the data is unstable and has many variables that are influenced by many factors. There are many ways to predict stock prices. Non-linear intelligent systems such as artificial neural networks, fuzzy neural networks, and genetic algorithms can be used to predict stock prices. In this research, a hybrid system based on Bayesian networks and the Markov model is proposed to predict the daily trend of the stock market. Bayesian networks are used to specify relationships between variables in forecasting. Finally, the Markov model is used to predict the market trend in the sets extracted from the Bayesian network. The evaluation criteria in the proposed system show the high efficiency of this method
The Effectiveness of Puppet Play Therapy On Increasing Communication Skills Through Social Stories for Children with Autism in Rasht
Get PDFPurpose: Autism is a neuro-developmental disorder that appears in the first three years of life and its main characteristic is a defect in communication and social interactions. Autism affects people's understanding of the world and their interactions with people. Communication skills are one of the most important issues for patients with this disorder, which itself requires therapeutic intervention. The purpose of this research is to determine the effectiveness of puppet play therapy on increasing communication skills through social stories for children with autism in Rasht.
Methodology: The current research is practical in terms of its purpose and semi-experimental in terms of data collection. The statistical population of the present study is children from autism schools in Rasht, all of whom were diagnosed with autism by a psychiatrist. A certain number of them were selected as the study sample. 15 of them were randomly selected for the experimental and control groups. Communication skills questionnaires were administered simultaneously for both groups. Then, 16 sessions of training program were implemented in a 45-minute class period for the experimental group, and the control group did not receive any training. Then the mentioned questionnaire was implemented again for the both groups. Multivariate covariance analysis was used to analyze the research findings and test the research hypotheses.
Findings: The obtained results show that according to the evaluation of parents' and teachers' opinions regarding the comparison of the communication skills scores of these children, the level of communication skills scores is much higher than the control group, which means that the mentioned training course was effective. According the findings, it can be said that the puppet play therapy is effective and useful in increasing the communication skills of autistic children with the help of social stories. It is also effective in improving cooperation, assertiveness and self-control, so this approach can be used to support the communication skills of autistic children.
Originality/Value: This study was conducted in order to investigate the effect of puppet play therapy on increasing the communication skills of children with autism, through the use of social stories in autism schools of Rasht city, and the results indicate the improvement of their communication skills and the acceptable effectiveness of this method
Presenting a combined econometric model to optimize the stock portfolio in the stock exchange
Get PDFPurpose: Portfolio optimization is one of the important issues in the field of financial sciences and investment, which has many applications in financial planners and decisions. By choosing a suitable stock portfolio, it is possible to greatly increase the efficiency of investment (in terms of increasing returns and reducing risk).
Methodology: In this paper, by presenting a model of liquidity risk, using the concept of diversification in the form of Shannon's entropy and econometric approach, an optimal portfolio of investment with the lowest risk and the highest return has been presented in the form of a portfolio. To calculate the liquidity risk, using multivariable methods, the variance-covariance matrix of price index returns and price gap was calculated and used in the presented model, and finally, the optimal weight was used using the optimization method and meta-heuristic algorithm of non-dominant ranking of the second version., calculated for selected industries.
Findings: The output results of the model show that the optimal weight of the groups that have less variance in the optimal portfolio is higher.
Originality/Value: Besides, the effect of removing the concept of liquidity from the model leads to an increase in the weight of industries that have less liquidity, and along with the increase in risk, the return of the optimal portfolio also increases in this case
Optimization under Uncertainty: Machine Learning Approach
Get PDFData is the new oil. From the beginning of the 21st century, data is similar to what oil was in the 18th century, an immensely untapped valuable asset. This paper reviews recent advances in the field of optimization under uncertainty via a modern data lens and highlights key research challenges and the promise of data-driven optimization that organically integrates machine learning and mathematical programming for decision-making under uncertainty. A brief review of classical mathematical programming techniques for hedging against uncertainty is first presented, along with their wide spectrum of applications in Process Systems Engineering. we provide an introduction to the topic of uncertainty in machine learning as well as an overview of attempts so far at handling uncertainty in general and formalizing this distinction in particular. In line with the statistical tradition, uncertainty has long been perceived as almost synonymous with standard probability and probabilistic predictions. Yet, due to the steadily increasing relevance of machine learning for practical applications and related issues such as safety requirements, new problems, and challenges have recently been identified by machine learning scholars, and these problems may call for new methodological developments
The Impact of E-Commerce on Business Strategy in Small and Medium Enterprises (SMEs) of Iran
Get PDFPurpose: The growth, development and survival of economic enterprises depend on the formulation, implementation and correct evaluation of organizational strategic decisions. Therefore, using new methods, changing methods and continuously evaluating structural decisions is one of the main duties of senior managers of organizations. In this article, the impact of choosing e-commerce on business strategy has been studied.
Methodology: The statistical data was collected using a questionnaire and the collected data was processed by SPSS software and used for analysis and conclusions. The purpose of this research is applied and the method of data collection is descriptive. The statistical population in this research is all the employees, managers and senior managers of small and medium-sized Iranian companies in Tehran, Iran. The statistical sample in this study includes 384 people who were selected based on the Morgan table and by a simple random method. Step wise regression model was used to analyze the statistical data in this research.
Findings: The results obtained by analyzing the data obtained from the software have shown that the choice of e-commerce effectively affects the business strategy.
Originality/Value: In this paper, we will examine the impact of e-commerce on business strategy in small and medium enterprises (SMEs) of Iran
The supply and demand challenges of medicines at Princess Marina Hospital, Gaborone, Botswana
Get PDFPurpose: This paper aims to investigate medicines' supply and demand challenges at Princess Marina Hospital in light of the prevalent shortage and unavailability of medicines in both the public and private sectors globally. Despite this, medicines remain essential commodities to healthcare systems. For Botswana, the unavailability of medicines situation has worsened over the past years due to complications from HIV, and AIDS. There was a need to investigate the supply and demand challenges of medicines at Princess Marina Hospital, Botswana's largest hospital.
Methodology: A quantitative methodology using a close-ended questionnaire was used to collect data from a sample of 41 pharmacy personnel at Princess Marina Hospital. Data were analyzed using Microsoft Excel.
Findings: The supply and demand challenges identified are low manufacturing capacity by manufacturers, shortage of raw materials, poor supply chain management by local suppliers, Botswana’s uneconomical small market, inefficient logistic supply system, irrational use of medicines, Just-In-Time- Inventory, tendering system of awarding the lowest bidder, unexpected increased marketing strategies, long regulatory timelines, limited registered medicines, inadequate supply chain management skills, insufficient personnel, and poor collaboration between Princess Marina Hospital and Central Medical Stores.
Originality/Value: This paper identifies the supply and demand challenges of medicines specifically in Princess Marina Hospital. To attain the purposes of the study, an inquiry was created containing two components related to investment decisions, including financial literacy and economic factors. The inquiry was delivered to a sample of 85 people. Descriptive data were used to expound on study samples in the way that frequency, mean, and standard deviation. In addition, of highest quality-sample t-test and a natural linear regression reasoning were used to test the study theory at a consequence level of 0.05. The main findings of this study include (I) the impact of financial knowledge and literacy on investment decisions and (II) the impact of economic factors on investment decisions. The focus was on investment and savings-related decisions and preferences. Banks, financial institutions, and investors can benefit from understanding the impact of financial literacy, behavioral, and individual factors, thus inviting investors to other financial options. The study provided many recommendations, the most important of which, is by communicating financial factors and knowledge of finance to financial literacy, allowing decision-makers to anticipate economic events and plan for the future