From an international business risk management perspective, the widespread and catastrophic implications of the COVID-19 pandemic on the performance of Zara (Parent company Indetex) are studied and analyzed to contribute to ongoing research on the conventional brick-and-mortar retail business. Brick-and-mortar retail has headed into decline over the last several years, and e-retailing has grown exponentially during the lockdown period of the COVID-19 pandemic. The objective of this study is to understand and highlight the impact of the coronavirus (COVID-19) crisis on the performance of Zara in Saudi Arabia. It was found that consumers’ preferences and purchasing behavior experienced a paradigm shift from the earlier behavior patterns. Because this crisis has caused many businesses to collapse altogether, this study tries to understand the specific factors that were responsible for affecting the overall performance of Zara. This helped generate several key findings. This study also aims to identify the main challenges relating to sustainable retailing at Zara and review how Zara has incorporated sustainability into their business. The concept of sustainability has gained widespread appeal due to growing concerns over environmental externalities. The results from this review also indicate that there is a lack of research on sustainable retailing with respect to Zara in the global market. Further, this review proposes potential digital strategies for Zara to maintain their performance in the global market during the COVID-19 pandemic.
{"title":"Sustainable Retailing Performance of Zara during COVID-19 Pandemic","authors":"Suheela Shabir, N. Albishri","doi":"10.4236/OJBM.2021.93054","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93054","url":null,"abstract":"From an international business risk management perspective, the widespread and catastrophic implications of the COVID-19 pandemic on the performance of Zara (Parent company Indetex) are studied and analyzed to contribute to ongoing research on the conventional brick-and-mortar retail business. Brick-and-mortar retail has headed into decline over the last several years, and e-retailing has grown exponentially during the lockdown period of the COVID-19 pandemic. The objective of this study is to understand and highlight the impact of the coronavirus (COVID-19) crisis on the performance of Zara in Saudi Arabia. It was found that consumers’ preferences and purchasing behavior experienced a paradigm shift from the earlier behavior patterns. Because this crisis has caused many businesses to collapse altogether, this study tries to understand the specific factors that were responsible for affecting the overall performance of Zara. This helped generate several key findings. This study also aims to identify the main challenges relating to sustainable retailing at Zara and review how Zara has incorporated sustainability into their business. The concept of sustainability has gained widespread appeal due to growing concerns over environmental externalities. The results from this review also indicate that there is a lack of research on sustainable retailing with respect to Zara in the global market. Further, this review proposes potential digital strategies for Zara to maintain their performance in the global market during the COVID-19 pandemic.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
After Markowitz proposed the mean-variance model, the research on portfolio problems has been a hot topic for many investors. The research on portfolio optimization is becoming more and more perfect. The investment theory changes from second-order moment to high-order moment, and from single-stage to multi-stage. More and more factors affecting portfolio optimization are taken into consideration. In this paper, a high-order portfolio optimization problem considering background risks is studied. Firstly, an optimization model of high-order moments including background risks is established, and the genetic algorithm is used to solve the model. Finally, the effects of background risks and high-order moments on the portfolio optimization model are analyzed empirically.
{"title":"High-Order Portfolio Optimization Problem with Background Risk","authors":"Xiao-Dong Zhou","doi":"10.4236/OJBM.2021.93052","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93052","url":null,"abstract":"After Markowitz proposed the mean-variance model, the research on portfolio problems has been a hot topic for many investors. The research on portfolio optimization is becoming more and more perfect. The investment theory changes from second-order moment to high-order moment, and from single-stage to multi-stage. More and more factors affecting portfolio optimization are taken into consideration. In this paper, a high-order portfolio optimization problem considering background risks is studied. Firstly, an optimization model of high-order moments including background risks is established, and the genetic algorithm is used to solve the model. Finally, the effects of background risks and high-order moments on the portfolio optimization model are analyzed empirically.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117343216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research analyzes scientific publications in agro-industrial complexes based on the literature indexed on the Web of Science database. This is a bibliometric, exploratory-descriptive research. Using the descriptors “agro-industrial complex” or “agro-industrial complex”, 171 articles were retrieved in February 2021. There was a prevalence of the Economics category and the Business Economics research area. The study showed an upward increase in the number of publications, especially in 2018. English was the predominant language with the largest number of publications, followed by Russian. The countries from which the largest number of publications originated were Russia, Ukraine, Czechoslovakia, Belarus and Kazakhstan. Of the twenty research institutions with the highest volume of publications in agro-industrial complexes, 60% are located in Russian territory. Finally, there was an ordering with a high dispersion of publications, so that 21 researchers concentrate 44 publications (5.80%) while 94.20% of researchers (341) have one publication each.
本研究基于Web of Science数据库检索的文献，对农工综合体的科技出版物进行分析。这是一项文献计量学、探索性描述性研究。使用“农工综合体”或“农工综合体”描述符，在2021年2月检索了171篇文章。经济学范畴和商业经济学研究领域盛行。该研究显示，出版物数量呈上升趋势，尤其是在2018年。英语是主要语言，出版物数量最多，其次是俄语。出版物数量最多的国家是俄罗斯、乌克兰、捷克斯洛伐克、白俄罗斯和哈萨克斯坦。在农业工业领域发表论文最多的20个研究机构中，60%位于俄罗斯境内。最后，论文发表的分散程度较高，有21位研究者集中了44篇论文(5.80%)，有94.20%的研究者(341位)集中了1篇论文。
{"title":"Studies in Agro-Industrial Complexes: Analysis of Literature Indexed on the Web of Science 1945-2020","authors":"Edenis Cesar de Oliveira, Rafael Moura De-Carli","doi":"10.4236/OJBM.2021.93060","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93060","url":null,"abstract":"The research analyzes scientific publications in agro-industrial \u0000complexes based on the literature indexed on the Web of Science database. This \u0000is a bibliometric, \u0000exploratory-descriptive research. Using the descriptors “agro-industrial complex” or “agro-industrial complex”, 171 articles were retrieved in February 2021. There \u0000was a prevalence of the Economics category and the Business Economics research \u0000area. The study showed an upward increase in the number of publications, \u0000especially in 2018. English was the predominant language with the largest \u0000number of publications, followed by Russian. The countries from which the \u0000largest number of publications originated were Russia, \u0000Ukraine, Czechoslovakia, Belarus and Kazakhstan. Of the twenty research institutions with the highest volume of \u0000publications in agro-industrial complexes, 60% are located in Russian \u0000territory. Finally, there was an ordering with a high dispersion of \u0000publications, so that 21 researchers concentrate 44 publications (5.80%) while \u000094.20% of researchers (341) have one publication each.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121279875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research is about the design, aesthetics as a sales promoter in Kosovo and the challenges faced during the production. This research will give insight into design and aesthetics as a promoter of selling products in our country. Preferences, demands and decisions for products are affected by different factors. For a successful sale and differentiation, the product in Kosovo must has the performance, comfort, safety and the ability to be repaired. As for the appearance, the interesting form, the perfect symmetry, the consumers of our country have shown less interest. These findings are important information and the recommendations from this research are important for further success in the field of business, entrepreneurship, economics, fashion design, teaching, etc.
{"title":"Design: Aesthetics as a Promoter of Selling Products in Kosovo","authors":"Ariana Gjoni","doi":"10.4236/OJBM.2021.93059","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93059","url":null,"abstract":"This research is about the design, aesthetics as a sales promoter in \u0000Kosovo and the challenges faced during \u0000the production. This research will give insight into design and aesthetics as a \u0000promoter of selling products in our country. Preferences, demands and decisions for products are affected by \u0000different factors. For a successful sale and differentiation, the product in \u0000Kosovo must has the \u0000performance, comfort, safety and the ability to be repaired. As for the \u0000appearance, the interesting form, the perfect symmetry, the consumers of our \u0000country have shown less interest. These findings are important information and \u0000the recommendations from this research are important for further success in the \u0000field of business, entrepreneurship, economics, fashion design, teaching, etc.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114080980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the patterns of differences of some key economic variables among the four major U.S. regions are investigated. These four regions include: Northeast, Midwest, South and West. The grouping of individual U.S. states into these four regions is in accordance with the U.S. Census Bureau and the U.S. Department of Commerce classification. Two main points are explored in this study. The first one examined and summarized the descriptive statistics of the variables for states in these four regions. These variables and data were culled from the databases of U.S. Census Bureau, the Bureau of Economic Analysis (BEA), the U.S. Department of Commerce, the Bureau of Labor Statistics, World Population Review and the U.S Department of Agriculture. The second one covered the identification of the four regions’ similarities and dissimilarities for the identified variables. One-way analysis of variance (ANOVA) is the statistical tool for the testing hypothesis of four regions’ means equality. To ascertain whether the regions that ranked the highest actually differ from another and from the remaining regions, the researcher made use of multiple comparison procedures, specifically the Scheffe test.
{"title":"U.S. Regional Scorecard: Comparing U.S. Regions for Selected Economic Variables","authors":"J. Ojih","doi":"10.4236/OJBM.2021.93058","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93058","url":null,"abstract":"In this \u0000paper, the patterns of differences of some key economic variables among the \u0000four major U.S. regions are investigated. These four regions include: Northeast, Midwest, South and West. The grouping of individual U.S. \u0000states into these four regions is in accordance \u0000with the U.S. Census Bureau and the U.S. Department of Commerce \u0000classification. Two main points are explored in this study. The first one \u0000examined and summarized the descriptive statistics of the variables for states \u0000in these four regions. These variables and data were culled from the databases \u0000of U.S. Census Bureau, the Bureau of \u0000Economic Analysis (BEA), the U.S. Department of Commerce, the Bureau of Labor \u0000Statistics, World Population Review and the U.S Department of Agriculture. The second one covered the identification of \u0000the four regions’ similarities and dissimilarities for the identified \u0000variables. One-way analysis of variance (ANOVA) is the statistical tool for the \u0000testing hypothesis of four regions’ means equality. To ascertain whether the \u0000regions that ranked the highest actually differ from another and from the remaining regions, the researcher made use of multiple comparison \u0000procedures, specifically the Scheffe test.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despite leaders’ investment in knowledge management practices, 76% of U.S. employees are hesitant to share tacit knowledge with co-workers. Researchers have suggested that willingness to share hinders the tacit knowledge transfer process. Employees become unwilling to share tacit knowledge with others due to cooperation and competition. The aim of this research is to understand the role of peer-to-peer cooperation on willingness to share tacit knowledge (WSTK). A total of 250 U.S. employees were sampled to measure knowledge-based trust (KBT) on WSTK. Pearson correlation and linear regression were used to investigate KBT and WSTK. Results indicated that KBT significantly predicted WSTK. Employee age and same-gender interactions did not influence the KBT-WSTK relationship. It was concluded that leaders and managers who promote KBT relationships are likely to encourage WSTK and create advantages over competitors.
{"title":"Managing Peer-to-Peer Cooperation Using Knowledge-Based Trust and Encouraging the Willingness to Share Tacit Knowledge","authors":"LaJuan Perronoski Fuller","doi":"10.4236/OJBM.2021.93067","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93067","url":null,"abstract":"Despite \u0000leaders’ investment in knowledge management practices, 76% of U.S. employees \u0000are hesitant to share tacit knowledge with co-workers. Researchers have \u0000suggested that willingness to share hinders the tacit knowledge transfer \u0000process. Employees become unwilling to share tacit knowledge with others due to \u0000cooperation and competition. The aim of this research is to understand the role \u0000of peer-to-peer cooperation on willingness to share tacit knowledge (WSTK). A \u0000total of 250 U.S. employees were sampled to measure knowledge-based trust (KBT) \u0000on WSTK. Pearson correlation and linear regression were used to investigate KBT \u0000and WSTK. Results indicated that KBT significantly predicted WSTK. Employee age \u0000and same-gender interactions did not influence the KBT-WSTK relationship. It \u0000was concluded that leaders and managers who promote KBT relationships are \u0000likely to encourage WSTK and create advantages over competitors.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121874667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a young technology-based company, Xiaomi’s international business continues to develop and grow. This article studies the international business model of Xiaomi. Through the analysis of the motivations of Xiaomi’s internationalization, this paper obtains the reasons for Xiaomi’s entry into the international market. We also study the choice of target market, the mode of entering the target market and the marketing strategy in the process of Xiaomi’s internationalization. Finally, it summarizes Xiaomi’s internationalization experience and puts forward enlightenment.
{"title":"Research on Xiaomi’s Internationalized Business Model","authors":"Ruyi Wei, Qiong-hua Long","doi":"10.4236/OJBM.2021.93056","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93056","url":null,"abstract":"As a \u0000young technology-based company, Xiaomi’s international business continues to \u0000develop and grow. This article studies the international business model of \u0000Xiaomi. Through the analysis of the motivations of Xiaomi’s \u0000internationalization, this paper obtains the reasons for Xiaomi’s entry into \u0000the international market. We also study the choice of target market, the mode of entering the target market and the marketing strategy in the process of \u0000Xiaomi’s internationalization. Finally, \u0000it summarizes Xiaomi’s internationalization experience and puts forward \u0000enlightenment.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130762618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this study was to assess the influence of marketing strategies on growth and sustainability in the OEM industry in Zambia. Based on Porter’s Generic Competitive Business Strategies, the study identified the major bottlenecks in the currently employed marketing strategies and assessed the relationship between Porter’s generic strategies in achieving KPI’s. A quantitative survey with structured questions was administered through self-completion questionnaires to 40 respondents, representing a 95% response rate. A descriptive research design was used and a quantitative research strategy used. IBM SPSS was used for correlation analysis, to assess the strength of the relationship between variables. The results indicated that at a 1% level of significance, the Pearson correlation coefficient of 0.01 and 0.000 at sig. (2-tailed) ket share growth. However, the results indicted a Pearson correlation coefficient of 0.015 and 0.036 which was not statistically significant at sig. (2-tailed)
{"title":"The Influence of Marketing Strategies on Growth and Sustainability in the Original Equipment Manufacturing Industry","authors":"Janet Nanyangwe, J. Phiri","doi":"10.4236/OJBM.2021.93077","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93077","url":null,"abstract":"The aim of this study was to assess the influence of marketing strategies \u0000on growth and sustainability in the OEM industry in Zambia. Based on Porter’s \u0000Generic Competitive Business Strategies, the study identified the major bottlenecks in the \u0000currently employed marketing strategies and assessed the relationship between \u0000Porter’s generic strategies in achieving KPI’s. A quantitative survey with structured \u0000questions was administered through self-completion questionnaires to 40 respondents, representing a 95% response rate. A \u0000descriptive research design was used and a quantitative research strategy used. \u0000IBM SPSS was used for correlation analysis, to assess the strength of the \u0000relationship between variables. The results indicated that at a 1% level of \u0000significance, the Pearson correlation coefficient of 0.01 and 0.000 at sig. \u0000(2-tailed) ket share growth. However, \u0000the results indicted a Pearson correlation coefficient of 0.015 and 0.036 which \u0000was not statistically significant at sig. (2-tailed)","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127686235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of the paper is to evaluate the effect of macroeconomic variables such as real GDP, unemployment levels, bond yields, stock market growth, and interest rate on the asset positions and financial performance of non-banking financial institutions (NBFIs) in Jamaica. This is reflected by return on asset (ROA) ratio, return on equity (ROE) ratio and total asset growth (TA). To explore the nature of the short and long-term relationship between dependent variables and independent variables, the research used a bound test approach to the co-integration and error correction process using time series data over the period from 2005Q1 to 2020Q3. The results showed that real gross domestic product (RGDP) and unemployment rate (UR) had a positive long-run relationship with ROA; government bond yield (GBY), UR, interest rate (IR) and stock market growth (JSEM) influenced ROE positively at the long-run; while all the independent variables showed a long-run causal relationship with TA. In the short-run estimates, however, minimal short-run causal relationships among variables could be identified with ROA, ROE and TA. Meanwhile, the research has shown there is a stable long-run relationship between the three profitability metrics and the variables that have a significant long-run relationship with them. This assumes that, in the event of some shock to the system, the model will converge back to equilibrium. Furthermore, the cumulative sum of recursive residuals (CUSUM) checks validated the model’s stability.
{"title":"The Effect of Macroeconomic Variables on the Asset Positions and Financial Performance of Non-Banking Financial Institutions (NBFIs) in Jamaica","authors":"F. Thompson","doi":"10.4236/OJBM.2021.93076","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93076","url":null,"abstract":"The aim of the paper is to \u0000evaluate the effect of macroeconomic variables such as real GDP, unemployment \u0000levels, bond yields, stock market growth, and interest rate on the asset \u0000positions and financial performance of non-banking financial institutions \u0000(NBFIs) in Jamaica. This is reflected by return on asset (ROA) ratio, return on equity (ROE) ratio and total asset growth (TA). To explore the nature of the short and \u0000long-term relationship between dependent variables and independent variables, \u0000the research used a bound test approach to the co-integration and error \u0000correction process using time series data over the period from 2005Q1 to \u00002020Q3. The results showed that real gross domestic product (RGDP) and \u0000unemployment rate (UR) had a positive long-run relationship with ROA; government \u0000bond yield (GBY), UR, interest rate (IR) and stock market growth (JSEM) influenced ROE positively at the long-run; while all \u0000the independent variables showed a long-run causal relationship with TA. In the \u0000short-run estimates, however, minimal short-run causal relationships among \u0000variables could be identified with ROA, ROE and TA. Meanwhile, the research has shown there is a stable long-run relationship \u0000between the three profitability metrics and the variables that have a \u0000significant long-run relationship with them. This assumes that, in the event of \u0000some shock to the system, the model will converge back to equilibrium. \u0000Furthermore, the cumulative sum of recursive residuals (CUSUM) checks validated \u0000the model’s stability.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124253167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety is a legal requirement of mining industry. Effective safety measurements and risk management can serve the mine administration to lessen the dangers recognized in the mine. Autonomous technologies, such as Artificial Intelligence (AI) and Machine Learning (ML) models have been integrated with the mining industry to ensure a safe working environment since a decade ago in the form of fully unmanned workfaces and mining robots. These autonomous technologies provide effective risk assessment as well as many economic profits such as cost reduction, continuous production, reducing labors exposure in dangerous environments, and enhanced protection. The main objective of this paper is to highlight the unidentified hazards during mining and find the solutions to those hazards by using AI and Machine Learning. In addition, this paper will also contribute a worthy resource for explaining the AI advancements in risk assessment in the mining industry. Another advantage of this paper is to fill the gaps in modern techniques and AI advancements in the safety measurements of coal mining industry.
{"title":"Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning","authors":"Sundas Matloob, Yang Li, Khurram Zaman Khan","doi":"10.4236/OJBM.2021.93064","DOIUrl":"https://doi.org/10.4236/OJBM.2021.93064","url":null,"abstract":"Safety is \u0000a legal requirement of mining industry. \u0000Effective safety measurements and risk management can serve the mine \u0000administration to lessen the dangers recognized in the mine. Autonomous \u0000technologies, such as Artificial Intelligence (AI) and Machine Learning (ML) \u0000models have been integrated with the mining industry to ensure a safe working \u0000environment since a decade ago in the form of fully unmanned workfaces and mining robots. These autonomous \u0000technologies provide effective risk assessment as well as many economic profits \u0000such as cost reduction, continuous production, reducing labors exposure in \u0000dangerous environments, and enhanced protection. The main objective of this \u0000paper is to highlight the unidentified hazards during mining and find the \u0000solutions to those hazards by using AI and Machine Learning. In addition, this paper \u0000will also contribute a worthy resource for explaining the AI advancements in \u0000risk assessment in the mining industry. Another advantage of this paper is to \u0000fill the gaps in modern techniques and AI advancements in the safety \u0000measurements of coal mining industry.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117150668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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