Pub Date : 2024-01-05DOI: 10.53759/5181/jebi202404005
Marina Yancey
Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.
{"title":"Advanced Framework for Integrating Risks into an Organizational Setting","authors":"Marina Yancey","doi":"10.53759/5181/jebi202404005","DOIUrl":"https://doi.org/10.53759/5181/jebi202404005","url":null,"abstract":"Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"49 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140513298","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}
Pub Date : 2024-01-05DOI: 10.53759/5181/jebi202404001
Yun Cai
Logistics and Supply chain play a crucial role in the functioning of commercial operations. A supply chain encompasses the process of acquiring and distributing commodities, while logistics pertains to the transportation, warehousing, and overall handling of resources and products. Both commercial and emergency supply chains encounter various obstacles, however they may derive valuable insights from one other's tactics and business models. Logistics comprises several components, including transportation, storage, inventory management, packaging, and information processing. The primary objective of logistics management is to effectively coordinate the availability of appropriate resources, ensuring their timely delivery to the designated destination. Supply chain management is a strategic approach that combines essential business activities in order to enhance value for both customers and stakeholders. Supply chain management encompasses the harmonization of several entities, including suppliers, manufacturers, warehouses, transporters, retailers, and consumers, with the objective of fulfilling client demands while simultaneously reducing expenses. There is a prevailing agreement among scholars that SCM and logistics constitute a crucial area of study. However, it is noteworthy that there is a scarcity of literature evaluations pertaining to this subject matter. This study aims to identify and discuss prominent topics in contemporary research by conducting a comprehensive literature assessment from the standpoint of operations management. Furthermore, we have derived some insights and identified potential avenues for further study in this particular domain.
{"title":"Future Scope of Logistics and Supply Chain - An Detailed Analysis","authors":"Yun Cai","doi":"10.53759/5181/jebi202404001","DOIUrl":"https://doi.org/10.53759/5181/jebi202404001","url":null,"abstract":"Logistics and Supply chain play a crucial role in the functioning of commercial operations. A supply chain encompasses the process of acquiring and distributing commodities, while logistics pertains to the transportation, warehousing, and overall handling of resources and products. Both commercial and emergency supply chains encounter various obstacles, however they may derive valuable insights from one other's tactics and business models. Logistics comprises several components, including transportation, storage, inventory management, packaging, and information processing. The primary objective of logistics management is to effectively coordinate the availability of appropriate resources, ensuring their timely delivery to the designated destination. Supply chain management is a strategic approach that combines essential business activities in order to enhance value for both customers and stakeholders. Supply chain management encompasses the harmonization of several entities, including suppliers, manufacturers, warehouses, transporters, retailers, and consumers, with the objective of fulfilling client demands while simultaneously reducing expenses. There is a prevailing agreement among scholars that SCM and logistics constitute a crucial area of study. However, it is noteworthy that there is a scarcity of literature evaluations pertaining to this subject matter. This study aims to identify and discuss prominent topics in contemporary research by conducting a comprehensive literature assessment from the standpoint of operations management. Furthermore, we have derived some insights and identified potential avenues for further study in this particular domain.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"3 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140513745","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}
Pub Date : 2023-10-05DOI: 10.53759/5181/jebi202303021
Madeleine Wang Yue Dong
The term "implicit knowledge" encompasses a variety of subfields, including but not limited to experiential knowledge, tacit knowledge, and accidental learning paradigms. This article explores the concept of implicit knowledge and its perceived importance in the process of learning. The concept of tacit knowledge holds significant importance in the development of research aimed at investigating student cognition and comprehension in the field of chemistry, as well as in the analysis and application of research outcomes in educational settings. Literature on cognition argues that most knowledge, which individuals utilize when evaluating their environment and executing decisions is not available to conscious reflection. As a result, scholars in the realm of chemistry education must explore alternative methods to elicit tacit knowledge, which holds significant ramifications for their research endeavors. Hence, it is crucial to consider that the outcomes of numerous chemistry-related investigations, which document the conceptions of students, may reflect cognitive processes that rely on tacit knowledge to some extent. The differentiation between implicit and explicit information is paramount in understanding the cognitive process of learning chemistry, as the former operates subconsciously without conscious effort.
{"title":"The Importance of Implicit Knowledge in Chemistry Teaching and Learning","authors":"Madeleine Wang Yue Dong","doi":"10.53759/5181/jebi202303021","DOIUrl":"https://doi.org/10.53759/5181/jebi202303021","url":null,"abstract":"The term \"implicit knowledge\" encompasses a variety of subfields, including but not limited to experiential knowledge, tacit knowledge, and accidental learning paradigms. This article explores the concept of implicit knowledge and its perceived importance in the process of learning. The concept of tacit knowledge holds significant importance in the development of research aimed at investigating student cognition and comprehension in the field of chemistry, as well as in the analysis and application of research outcomes in educational settings. Literature on cognition argues that most knowledge, which individuals utilize when evaluating their environment and executing decisions is not available to conscious reflection. As a result, scholars in the realm of chemistry education must explore alternative methods to elicit tacit knowledge, which holds significant ramifications for their research endeavors. Hence, it is crucial to consider that the outcomes of numerous chemistry-related investigations, which document the conceptions of students, may reflect cognitive processes that rely on tacit knowledge to some extent. The differentiation between implicit and explicit information is paramount in understanding the cognitive process of learning chemistry, as the former operates subconsciously without conscious effort.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135547246","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}
Pub Date : 2023-10-05DOI: 10.53759/5181/jebi202303020
Parvesh Sharma
The notion of “multiple intelligences” (MI) was established by Howard Gardner, a psychologist from the United States, during the latter part of the 1970s and the early part of the 1980s. Gardner introduced the concept of MI in his 1983 publication titled Frames of Mind: The Theory of Multiple Intelligences, positing that individuals possess unique cognitive abilities across eight discrete domains. As per the theory, there exist nine discrete categories of intelligence, such as logical-mathematical, visual-spatial, musical-rhythmic, verbal-linguistic, bodily-kinesthetic, intrapersonal, interpersonal, existential, and naturalistic. Individuals construct their distinct cognitive frameworks by engaging in activities that are highly valued within their respective cultural contexts. The present article furnishes a comprehensive outline of the rationales and plausible scenarios for deliberating MI theory with pre-service educators during their teacher training. This study examines the significance of Universal Design for Learning (UDL) and comparable models in the context of teacher training, taking into account the distinctions between the semantic theoretical foundations of intelligence in Multiple Intelligences (MI) theory and learning styles theory.
{"title":"A Review of Semantic Application of MI Theory and Effects for Teacher Training","authors":"Parvesh Sharma","doi":"10.53759/5181/jebi202303020","DOIUrl":"https://doi.org/10.53759/5181/jebi202303020","url":null,"abstract":"The notion of “multiple intelligences” (MI) was established by Howard Gardner, a psychologist from the United States, during the latter part of the 1970s and the early part of the 1980s. Gardner introduced the concept of MI in his 1983 publication titled Frames of Mind: The Theory of Multiple Intelligences, positing that individuals possess unique cognitive abilities across eight discrete domains. As per the theory, there exist nine discrete categories of intelligence, such as logical-mathematical, visual-spatial, musical-rhythmic, verbal-linguistic, bodily-kinesthetic, intrapersonal, interpersonal, existential, and naturalistic. Individuals construct their distinct cognitive frameworks by engaging in activities that are highly valued within their respective cultural contexts. The present article furnishes a comprehensive outline of the rationales and plausible scenarios for deliberating MI theory with pre-service educators during their teacher training. This study examines the significance of Universal Design for Learning (UDL) and comparable models in the context of teacher training, taking into account the distinctions between the semantic theoretical foundations of intelligence in Multiple Intelligences (MI) theory and learning styles theory.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135547247","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}
Pub Date : 2023-10-05DOI: 10.53759/5181/jebi202303022
Aijie Wang, Bin Liang
The act of decision-making lies at the core of human existence and shapes our interactions with the surrounding environment. This article investigates the utilization of artificial intelligence (AI) techniques in the advancement of intelligent decision support systems (IDSS). It builds upon prior research conducted in the decision-making field and the subsequent development of decision support systems (DSS) based on that knowledge. The initial establishment of the fundamental principles of classical DSS is undertaken. The subsequent emphasis is directed towards the integration of artificial intelligence techniques within IDSS. The evaluation of an IDSS, as well as any other DSS, is a crucial undertaking in order to gain insights into the system's capabilities and identify areas that require enhancement. This article presents a review conducted on this significant yet insufficiently investigated subject matter. When utilized in conjunction with DSS, AI techniques such as intelligent agents, artificial neural networks (ANN), evolutionary computing, case-based reasoning, and fuzzy logic provide valuable assistance in defining complex practical challenges, which are mostly time-critical, encompass extensive and scattered data, and can derive advantages from sophisticated reasoning.
{"title":"Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment","authors":"Aijie Wang, Bin Liang","doi":"10.53759/5181/jebi202303022","DOIUrl":"https://doi.org/10.53759/5181/jebi202303022","url":null,"abstract":"The act of decision-making lies at the core of human existence and shapes our interactions with the surrounding environment. This article investigates the utilization of artificial intelligence (AI) techniques in the advancement of intelligent decision support systems (IDSS). It builds upon prior research conducted in the decision-making field and the subsequent development of decision support systems (DSS) based on that knowledge. The initial establishment of the fundamental principles of classical DSS is undertaken. The subsequent emphasis is directed towards the integration of artificial intelligence techniques within IDSS. The evaluation of an IDSS, as well as any other DSS, is a crucial undertaking in order to gain insights into the system's capabilities and identify areas that require enhancement. This article presents a review conducted on this significant yet insufficiently investigated subject matter. When utilized in conjunction with DSS, AI techniques such as intelligent agents, artificial neural networks (ANN), evolutionary computing, case-based reasoning, and fuzzy logic provide valuable assistance in defining complex practical challenges, which are mostly time-critical, encompass extensive and scattered data, and can derive advantages from sophisticated reasoning.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135547248","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}
Pub Date : 2023-10-05DOI: 10.53759/5181/jebi202303019
Rajeshkumar M
Brain-based learning (BBL) is grounded in an understanding of the structure and function of the brain, as well as empirical evidence derived from cognitive neuroscience research regarding optimal learning strategies for the brain. Educational programs that prioritize brain science in their curriculum and instructional methods are commonly referred to as "brain-based." The aim is to achieve efficient and expeditious education. As per the Education Reform, this particular approach is based on research that examines the brain's potential to restructure itself in order to enhance its capacity to retain and retrieve information while engaged in the process of learning. Enhancing one's capacity can be achieved through engaging in physical activity, maintaining a healthy diet, and effectively managing stress levels. The emotional state of an individual can also have an impact on their learning process. This study presents findings on the correlation between teachers' knowledge, beliefs, and frequency of implementation of brain-based learning strategies in primary Science classes. The research questions addressed in this paper are focused on determining the existence of such a correlation. The study comprised 207 educators from elementary schools in Croatia. The results suggest that educators at the primary level possess a sound understanding of brain-centered pedagogical approaches, yet they infrequently put them into practice. The educational process remains entrenched in a historically rooted paradigm that has not adequately shifted towards student-centered teaching. This is evidenced by the persistent employment of traditional, teacher-led instructional methods in elementary Science classrooms.
{"title":"Correlation between Teachers Knowledge, Beliefs, and Frequency of Implementation of Brain Based Learning Strategies","authors":"Rajeshkumar M","doi":"10.53759/5181/jebi202303019","DOIUrl":"https://doi.org/10.53759/5181/jebi202303019","url":null,"abstract":"Brain-based learning (BBL) is grounded in an understanding of the structure and function of the brain, as well as empirical evidence derived from cognitive neuroscience research regarding optimal learning strategies for the brain. Educational programs that prioritize brain science in their curriculum and instructional methods are commonly referred to as \"brain-based.\" The aim is to achieve efficient and expeditious education. As per the Education Reform, this particular approach is based on research that examines the brain's potential to restructure itself in order to enhance its capacity to retain and retrieve information while engaged in the process of learning. Enhancing one's capacity can be achieved through engaging in physical activity, maintaining a healthy diet, and effectively managing stress levels. The emotional state of an individual can also have an impact on their learning process. This study presents findings on the correlation between teachers' knowledge, beliefs, and frequency of implementation of brain-based learning strategies in primary Science classes. The research questions addressed in this paper are focused on determining the existence of such a correlation. The study comprised 207 educators from elementary schools in Croatia. The results suggest that educators at the primary level possess a sound understanding of brain-centered pedagogical approaches, yet they infrequently put them into practice. The educational process remains entrenched in a historically rooted paradigm that has not adequately shifted towards student-centered teaching. This is evidenced by the persistent employment of traditional, teacher-led instructional methods in elementary Science classrooms.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135547249","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}
Pub Date : 2023-07-05DOI: 10.53759/5181/jebi202303017
Claudia Bonomelli De Pinaga, Alejandro Reyes Van Eweyk
The primary objective of green technology is to in climate change management, natural environmental preservation, non-renewable resource reliance, and mitigating environmental hazards. Some of the industrial sectors that are actively investing in this type of technology include waste management, energy and transportation industries. There are a lot of positives to using this technology, but it still has to mitigate some of the challenges before it is considered a standard. The green technology industry has seen rapid expansion in recent years. The significance of green technology in mitigating threats to the environment and preserving natural resources becomes more apparent every day, as does the need for more investment in such solutions. Since the majority of the world's pollution, especially CO2 and other greenhouse gases, is produced by developing countries due to careless environmental policy implementation, addressing the issue of technology transfer is crucial. Emerging technologies for reducing emissions include improved solar cells, wind power, and electric vehicles, as discussed in this paper.
{"title":"A Review of Green Technology and its Effects in the Auto Industry","authors":"Claudia Bonomelli De Pinaga, Alejandro Reyes Van Eweyk","doi":"10.53759/5181/jebi202303017","DOIUrl":"https://doi.org/10.53759/5181/jebi202303017","url":null,"abstract":"The primary objective of green technology is to in climate change management, natural environmental preservation, non-renewable resource reliance, and mitigating environmental hazards. Some of the industrial sectors that are actively investing in this type of technology include waste management, energy and transportation industries. There are a lot of positives to using this technology, but it still has to mitigate some of the challenges before it is considered a standard. The green technology industry has seen rapid expansion in recent years. The significance of green technology in mitigating threats to the environment and preserving natural resources becomes more apparent every day, as does the need for more investment in such solutions. Since the majority of the world's pollution, especially CO2 and other greenhouse gases, is produced by developing countries due to careless environmental policy implementation, addressing the issue of technology transfer is crucial. Emerging technologies for reducing emissions include improved solar cells, wind power, and electric vehicles, as discussed in this paper.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362466","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}
Pub Date : 2023-07-05DOI: 10.53759/5181/jebi202303013
Peter Von Grebel, Shreya Rajmane
Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management, and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.
{"title":"Proposed Framework and Method for Integrating Risks into an Organizational Setting","authors":"Peter Von Grebel, Shreya Rajmane","doi":"10.53759/5181/jebi202303013","DOIUrl":"https://doi.org/10.53759/5181/jebi202303013","url":null,"abstract":"Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management, and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362560","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}
Pub Date : 2023-07-05DOI: 10.53759/5181/jebi202303014
Philipp Berner
The phrase "Industry 4.0" refers to the fourth wave of industrial change, which includes areas like smart cities that aren't often thought of as stand-alone industrial applications. Waterpower, steam power, and mechanization were all introduced during the start of the first industrial revolution. The second industrial revolution that followed was marked by the expansion of mass production and assembly lines made possible by the use of electricity. The third industrial revolution was sparked by the development of electronics, information technology, and automation. This was followed by the fourth industrial revolution, which was defined by the appearance of systems of cyber-physical. The goal of the scientific discipline of human performance is to increase a system's overall performance as well as the wellbeing of the people who are a part of it. A comprehensive search yielded a total of 336 scholarly papers, out of which 37 were examined using a human-centered system of work paradigm as described in the body of HFE literature. Within the frames of the macro- and micro ergonomics work system paradigms, difficulties related to technological growth were analyzed. We outline the essential components of an organizational maturity model using the study that was done. Within the unique context of the manufacturing industry's fast technological improvements, this model seeks to improve the overall performance of sociotechnical work system.
{"title":"Analysis of Human Performance in Manufacturing an Detailed Framework on Industry 4.0","authors":"Philipp Berner","doi":"10.53759/5181/jebi202303014","DOIUrl":"https://doi.org/10.53759/5181/jebi202303014","url":null,"abstract":"The phrase \"Industry 4.0\" refers to the fourth wave of industrial change, which includes areas like smart cities that aren't often thought of as stand-alone industrial applications. Waterpower, steam power, and mechanization were all introduced during the start of the first industrial revolution. The second industrial revolution that followed was marked by the expansion of mass production and assembly lines made possible by the use of electricity. The third industrial revolution was sparked by the development of electronics, information technology, and automation. This was followed by the fourth industrial revolution, which was defined by the appearance of systems of cyber-physical. The goal of the scientific discipline of human performance is to increase a system's overall performance as well as the wellbeing of the people who are a part of it. A comprehensive search yielded a total of 336 scholarly papers, out of which 37 were examined using a human-centered system of work paradigm as described in the body of HFE literature. Within the frames of the macro- and micro ergonomics work system paradigms, difficulties related to technological growth were analyzed. We outline the essential components of an organizational maturity model using the study that was done. Within the unique context of the manufacturing industry's fast technological improvements, this model seeks to improve the overall performance of sociotechnical work system.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362738","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}
Pub Date : 2023-07-05DOI: 10.53759/5181/jebi202303016
Garcia Fernandez
In conventional practice, unprocessed biomass resources are transported to biorefineries where they undergo preprocessing to become feedstock before undergoing conversion into various products. The constant supply of biomass to biorefinery cannot be achieved on a just-in-time basis due to the fact that various forms of biomaterials, such as energy crops, logging residue, and agricultural residue, are harvested based on their cycle of development and optimum harvesting timeframe. Biomaterials are typically stored and subsequently transported to biorefineries on an as-needed basis. The current approach has resulted in various challenges concerning logistics, biomass degradation caused by fire and microorganisms, and irregular quality of feedstock as a result of the changing characteristics of the delivered biomass materials. This has been observed through previous encounters. The aforementioned factors have resulted in elevated feedstock expenses, reduced processing capacity, and diminished product output for biorefineries. The present study introduces a novel approach to tackle the challenges associated with conventional methods of biomass feedstock procurement, retention, and preliminary processing, as discussed earlier. This strategy comprises three fundamental elements: firstly, the conservation and preparation of biomass throughout its storage; secondly, the incorporation of all biomass components, even those typically deemed as refuse or impurities; and thirdly, the optimization of the worth of each component. The implementation of this novel methodology involves the establishment of feedstock preprocessing depots in close proximity to the sources of biomass production
{"title":"A Review of Comprehensive and Ethical Utilization of the Worlds Biomass Resources","authors":"Garcia Fernandez","doi":"10.53759/5181/jebi202303016","DOIUrl":"https://doi.org/10.53759/5181/jebi202303016","url":null,"abstract":"In conventional practice, unprocessed biomass resources are transported to biorefineries where they undergo preprocessing to become feedstock before undergoing conversion into various products. The constant supply of biomass to biorefinery cannot be achieved on a just-in-time basis due to the fact that various forms of biomaterials, such as energy crops, logging residue, and agricultural residue, are harvested based on their cycle of development and optimum harvesting timeframe. Biomaterials are typically stored and subsequently transported to biorefineries on an as-needed basis. The current approach has resulted in various challenges concerning logistics, biomass degradation caused by fire and microorganisms, and irregular quality of feedstock as a result of the changing characteristics of the delivered biomass materials. This has been observed through previous encounters. The aforementioned factors have resulted in elevated feedstock expenses, reduced processing capacity, and diminished product output for biorefineries. The present study introduces a novel approach to tackle the challenges associated with conventional methods of biomass feedstock procurement, retention, and preliminary processing, as discussed earlier. This strategy comprises three fundamental elements: firstly, the conservation and preparation of biomass throughout its storage; secondly, the incorporation of all biomass components, even those typically deemed as refuse or impurities; and thirdly, the optimization of the worth of each component. The implementation of this novel methodology involves the establishment of feedstock preprocessing depots in close proximity to the sources of biomass production","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139362461","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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