The construction industry has been a vital contributor to the economy for many years. However, it is also known for being one of the biggest polluters, emitting a significant amount of carbon dioxide and consuming a vast amount of resources. Biotechnology is emerging as a promising solution to address the environmental impact of the construction industry. This abstract explores how biotechnology could revolutionize the construction industry and green building projects. It highlights the potential of biotechnology to reduce the environmental impact of construction through the use of sustainable materials and techniques. The study reviews the various biotechnology-based approaches that could improve the construction process, such as the use of genetically modified bacteria to produce bio-based materials and the use of biocatalysts to enhance the durability and strength of building materials. The study also examines the potential impact of biotechnology on the green building industry, with a focus on the development of energy-efficient and sustainable buildings. The study concludes that biotechnology has the potential to transform the construction industry by enabling the production of sustainable materials, enhancing the durability and strength of building materials, and improving the energy efficiency of buildings, ultimately contributing to a more sustainable and environmentally friendly built environment.
{"title":"How biotechnology could revolutionize the construction industry and green building project","authors":"Song Jincan","doi":"10.5912/jcb1325","DOIUrl":"https://doi.org/10.5912/jcb1325","url":null,"abstract":"\u0000\u0000\u0000\u0000\u0000\u0000The construction industry has been a vital contributor to the economy for many years. However, it is also known for being one of the biggest polluters, emitting a significant amount of carbon dioxide and consuming a vast amount of resources. Biotechnology is emerging as a promising solution to address the environmental impact of the construction industry. This abstract explores how biotechnology could revolutionize the construction industry and green building projects. It highlights the potential of biotechnology to reduce the environmental impact of construction through the use of sustainable materials and techniques. The study reviews the various biotechnology-based approaches that could improve the construction process, such as the use of genetically modified bacteria to produce bio-based materials and the use of biocatalysts to enhance the durability and strength of building materials. The study also examines the potential impact of biotechnology on the green building industry, with a focus on the development of energy-efficient and sustainable buildings. The study concludes that biotechnology has the potential to transform the construction industry by enabling the production of sustainable materials, enhancing the durability and strength of building materials, and improving the energy efficiency of buildings, ultimately contributing to a more sustainable and environmentally friendly built environment.\u0000\u0000\u0000\u0000\u0000 \u0000\u0000\u0000\u0000","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43341615","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 application of virtual reality (VR) technology in the healthcare industry has gained momentum in recent years and has the potential to revolutionize the way healthcare is delivered. VR technology offers an immersive experience that allows medical professionals and patients to visualize and interact with medical data more intuitively and naturally, which can improve diagnosis, treatment, and overall patient outcomes. Digital health is an emerging field that combines technology and healthcare to improve patient outcomes, reduce costs, and enhance the overall delivery of care. The application of VR technology in digital health is rapidly expanding and can be used in various areas of healthcare, including patient education, medical training, and simulation. The impact of VR on digital health can be seen in a variety of ways, such as improved patient engagement, better patient outcomes, and more efficient and effective medical training. VR can be used to create interactive and engaging educational experiences for patients, which can help them better understand their medical conditions and treatments. Additionally, VR technology can provide medical professionals with hands-on training and the ability to practice complex procedures in a safe and controlled environment. Moreover, the use of VR in telemedicine can enhance the patient experience by providing a more immersive and engaging interaction with healthcare professionals. This can help to improve the overall delivery of care and can lead to better health outcomes. Overall, the application of virtual reality technology in digital health represents a promising opportunity for medical professionals to transform the way healthcare is delivered. By leveraging the power of VR, medical professionals can improve patient outcomes, enhance training and decision-making, and ultimately enhance the quality of care provided to patients.
{"title":"Application of Virtual Reality Technology and Its Impact On Digital Health In Healthcare Industry.","authors":"Wenli Lian","doi":"10.5912/jcb1320","DOIUrl":"https://doi.org/10.5912/jcb1320","url":null,"abstract":"The application of virtual reality (VR) technology in the healthcare industry has gained momentum in recent years and has the potential to revolutionize the way healthcare is delivered. VR technology offers an immersive experience that allows medical professionals and patients to visualize and interact with medical data more intuitively and naturally, which can improve diagnosis, treatment, and overall patient outcomes. Digital health is an emerging field that combines technology and healthcare to improve patient outcomes, reduce costs, and enhance the overall delivery of care. The application of VR technology in digital health is rapidly expanding and can be used in various areas of healthcare, including patient education, medical training, and simulation. The impact of VR on digital health can be seen in a variety of ways, such as improved patient engagement, better patient outcomes, and more efficient and effective medical training. VR can be used to create interactive and engaging educational experiences for patients, which can help them better understand their medical conditions and treatments. Additionally, VR technology can provide medical professionals with hands-on training and the ability to practice complex procedures in a safe and controlled environment. Moreover, the use of VR in telemedicine can enhance the patient experience by providing a more immersive and engaging interaction with healthcare professionals. This can help to improve the overall delivery of care and can lead to better health outcomes. Overall, the application of virtual reality technology in digital health represents a promising opportunity for medical professionals to transform the way healthcare is delivered. By leveraging the power of VR, medical professionals can improve patient outcomes, enhance training and decision-making, and ultimately enhance the quality of care provided to patients.","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48839407","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}
Engineering project management is an essential component of the healthcare sector, as it involves the planning, execution, and monitoring of projects related to medical technology, infrastructure, and other areas of healthcare. The application of data mining techniques in engineering project management has the potential to improve project planning and execution, enhance decision-making, and optimize resource allocation. Data mining involves the extraction of patterns and insights from large data sets, which can be used to identify trends, relationships, and patterns that may not be immediately apparent through manual analysis. In the healthcare sector, data mining can be applied to various areas of engineering project management, including project planning, risk assessment, resource allocation, and progress monitoring.By applying data mining techniques to engineering project management in the healthcare sector, project managers can gain a more comprehensive understanding of project risks, resource needs, and progress. This can enable them to make more informed decisions and allocate resources more efficiently. In addition, data mining can be used to identify areas of inefficiency or bottlenecks in the project management process, enabling managers to optimize processes and improve project outcomes
{"title":"Application of data mining in engineering project management of the health sector","authors":"Sichen Liu","doi":"10.5912/jcb1414","DOIUrl":"https://doi.org/10.5912/jcb1414","url":null,"abstract":"Engineering project management is an essential component of the healthcare sector, as it involves the planning, execution, and monitoring of projects related to medical technology, infrastructure, and other areas of healthcare. The application of data mining techniques in engineering project management has the potential to improve project planning and execution, enhance decision-making, and optimize resource allocation. Data mining involves the extraction of patterns and insights from large data sets, which can be used to identify trends, relationships, and patterns that may not be immediately apparent through manual analysis. In the healthcare sector, data mining can be applied to various areas of engineering project management, including project planning, risk assessment, resource allocation, and progress monitoring.By applying data mining techniques to engineering project management in the healthcare sector, project managers can gain a more comprehensive understanding of project risks, resource needs, and progress. This can enable them to make more informed decisions and allocate resources more efficiently. In addition, data mining can be used to identify areas of inefficiency or bottlenecks in the project management process, enabling managers to optimize processes and improve project outcomes","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45663789","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}
Precision management is a critical component of healthcare, where access to accurate and timely data is essential for effective decision-making. In the healthcare industry, precision management involves the use of multiple data sources to understand patient needs and improve health outcomes. Multi-source data interpretation, specifically at the field scale, is becoming increasingly popular as a means to obtain a comprehensive view of patient care. Field scale precision management in healthcare involves the integration of data from various sources, including electronic health records, patient-generated data, and social determinants of health. Through the use of advanced analytics and machine learning algorithms, this data can be processed and interpreted to identify patterns, trends, and insights that can help healthcare providers make more informed decisions. The application of multi-source data interpretation in healthcare is particularly important because it allows for a more holistic view of patient health, taking into account factors beyond traditional medical metrics. For example, social determinants of health, such as access to healthy food and safe housing, can have a significant impact on patient health outcomes, and these factors can be identified through the analysis of non-medical data sources. Overall, the use of multi-source data interpretation for field scale precision management in healthcare has the potential to significantly improve patient outcomes by providing healthcare providers with a more complete understanding of patient needs and circumstances. With advances in technology and analytics, healthcare providers can better harness the power of data to optimize patient care and improve health outcomes at scale.
{"title":"Multi-Source Data Interpretation For Field Scale Precision Management In Healthcare Industry","authors":"Zhiying Huang, Shaoxiong Hu, Yanqing Liang","doi":"10.5912/jcb1316","DOIUrl":"https://doi.org/10.5912/jcb1316","url":null,"abstract":"Precision management is a critical component of healthcare, where access to accurate and timely data is essential for effective decision-making. In the healthcare industry, precision management involves the use of multiple data sources to understand patient needs and improve health outcomes. Multi-source data interpretation, specifically at the field scale, is becoming increasingly popular as a means to obtain a comprehensive view of patient care. Field scale precision management in healthcare involves the integration of data from various sources, including electronic health records, patient-generated data, and social determinants of health. Through the use of advanced analytics and machine learning algorithms, this data can be processed and interpreted to identify patterns, trends, and insights that can help healthcare providers make more informed decisions. The application of multi-source data interpretation in healthcare is particularly important because it allows for a more holistic view of patient health, taking into account factors beyond traditional medical metrics. For example, social determinants of health, such as access to healthy food and safe housing, can have a significant impact on patient health outcomes, and these factors can be identified through the analysis of non-medical data sources. Overall, the use of multi-source data interpretation for field scale precision management in healthcare has the potential to significantly improve patient outcomes by providing healthcare providers with a more complete understanding of patient needs and circumstances. With advances in technology and analytics, healthcare providers can better harness the power of data to optimize patient care and improve health outcomes at scale.","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48566815","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 use of virtual reality (VR) technology is rapidly expanding in the pharmaceutical industry, and with the application of deep learning analysis, this technology is becoming more sophisticated and effective. Deep learning is a subfield of artificial intelligence that enables machines to learn and improve through experience, and its application in VR technology has the potential to transform the way pharmaceutical research and development is conducted. The use of VR technology in the pharmaceutical industry has numerous applications, including drug discovery, development, and testing. VR technology allows for the simulation of complex biological processes, which can lead to more accurate and efficient drug development. Additionally, VR technology can be used to train medical professionals, provide patient education, and improve the overall delivery of care. Deep learning analysis of VR technology in the pharmaceutical industry has the potential to unlock new insights and improve the efficiency of drug discovery and development. With the application of deep learning algorithms, machines can learn from large datasets and simulate complex biological processes with greater accuracy and speed. This can help to identify potential drug candidates more efficiently, reducing the time and costs associated with traditional drug development processes. Furthermore, deep learning analysis of VR technology can also be used to improve patient outcomes by enabling more personalized medicine. By analyzing large amounts of patient data, deep learning algorithms can help identify the best treatments for individual patients, leading to better health outcomes
{"title":"Deep Learning Analysis of Virtual Reality Technology for pharma industry","authors":"Qiulin Gu, Li Zhang","doi":"10.5912/jcb1323","DOIUrl":"https://doi.org/10.5912/jcb1323","url":null,"abstract":"The use of virtual reality (VR) technology is rapidly expanding in the pharmaceutical industry, and with the application of deep learning analysis, this technology is becoming more sophisticated and effective. Deep learning is a subfield of artificial intelligence that enables machines to learn and improve through experience, and its application in VR technology has the potential to transform the way pharmaceutical research and development is conducted. The use of VR technology in the pharmaceutical industry has numerous applications, including drug discovery, development, and testing. VR technology allows for the simulation of complex biological processes, which can lead to more accurate and efficient drug development. Additionally, VR technology can be used to train medical professionals, provide patient education, and improve the overall delivery of care. Deep learning analysis of VR technology in the pharmaceutical industry has the potential to unlock new insights and improve the efficiency of drug discovery and development. With the application of deep learning algorithms, machines can learn from large datasets and simulate complex biological processes with greater accuracy and speed. This can help to identify potential drug candidates more efficiently, reducing the time and costs associated with traditional drug development processes. Furthermore, deep learning analysis of VR technology can also be used to improve patient outcomes by enabling more personalized medicine. By analyzing large amounts of patient data, deep learning algorithms can help identify the best treatments for individual patients, leading to better health outcomes","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41614689","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}
University education management is a complex process that involves multiple factors and variables. Biotechnology is an emerging field that is transforming various aspects of higher education, including curriculum design, research, and innovation. This abstract explores the use of path analysis in university education management based on biotechnology. The study highlights the potential of path analysis in identifying the causal relationships between various factors in university education management. The study reviews the various variables that could influence university education management in the context of biotechnology, such as curriculum design, faculty development, student outcomes, and institutional innovation. The study examines the benefits of path analysis for university education management based on biotechnology, such as the ability to identify key variables and prioritize resources, improve decision-making, and enhance the overall quality of education. The study also discusses the challenges of implementing path analysis in university education management, such as data availability, data quality, and statistical analysis. The study concludes that path analysis is a valuable tool for university education management based on biotechnology, enabling the identification of causal relationships and the development of evidence-based strategies for improving education quality and outcomes. The integration of biotechnology in university education management can enhance the quality of education, improve research and innovation, and contribute to the growth of the biotechnology industry.
{"title":"Path Analysis of University Education Management based on Biotechnology","authors":"Ying Peng","doi":"10.5912/jcb1321","DOIUrl":"https://doi.org/10.5912/jcb1321","url":null,"abstract":"\u0000\u0000\u0000\u0000\u0000\u0000University education management is a complex process that involves multiple factors and variables. Biotechnology is an emerging field that is transforming various aspects of higher education, including curriculum design, research, and innovation. This abstract explores the use of path analysis in university education management based on biotechnology. The study highlights the potential of path analysis in identifying the causal relationships between various factors in university education management. The study reviews the various variables that could influence university education management in the context of biotechnology, such as curriculum design, faculty development, student outcomes, and institutional innovation. The study examines the benefits of path analysis for university education management based on biotechnology, such as the ability to identify key variables and prioritize resources, improve decision-making, and enhance the overall quality of education. The study also discusses the challenges of implementing path analysis in university education management, such as data availability, data quality, and statistical analysis. The study concludes that path analysis is a valuable tool for university education management based on biotechnology, enabling the identification of causal relationships and the development of evidence-based strategies for improving education quality and outcomes. The integration of biotechnology in university education management can enhance the quality of education, improve research and innovation, and contribute to the growth of the biotechnology industry.\u0000\u0000\u0000\u0000\u0000 \u0000\u0000\u0000\u0000","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48918971","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 Singapore, the number of incubation centers is rapidly increasing to fulfill the demands of the associated audience. These centers are vital in providing important facilities and capitals for new start-ups. This study aimed at identifying the governmental, industrial, and academic partnerships between incubation centers for furthering innovation in biotechnology firms in Singapore. For this purpose, semi-structured interviews were conducted with five employers from top management in biotechnology firms in Singapore. After the collection data, qualitative analysis was conducted in two steps (step 1: thematic analysis and step 2: word cloud analysis). The results obtained from this study showed that incubation centers play an important role in establishing early-stage biotech start-ups, promoting bio-entrepreneurship. It has also been observed that different challenges are faced during incubation process which include legal issues, infrastructure issues, strategic alliances issues and others. Moreover, the governmental, industrial, and academic partnerships between incubation centers have proven to be effective in promoting innovation processes in biotechnology firms.
{"title":"Studying the governmental, industrial, and academic partnerships between incubation centers for furthering innovation: Evidence from biotechnology firms in Singapore","authors":"Mishal Sohail","doi":"10.5912/jcb1529","DOIUrl":"https://doi.org/10.5912/jcb1529","url":null,"abstract":"In Singapore, the number of incubation centers is rapidly increasing to fulfill the demands of the associated audience. These centers are vital in providing important facilities and capitals for new start-ups. This study aimed at identifying the governmental, industrial, and academic partnerships between incubation centers for furthering innovation in biotechnology firms in Singapore. For this purpose, semi-structured interviews were conducted with five employers from top management in biotechnology firms in Singapore. After the collection data, qualitative analysis was conducted in two steps (step 1: thematic analysis and step 2: word cloud analysis). The results obtained from this study showed that incubation centers play an important role in establishing early-stage biotech start-ups, promoting bio-entrepreneurship. It has also been observed that different challenges are faced during incubation process which include legal issues, infrastructure issues, strategic alliances issues and others. Moreover, the governmental, industrial, and academic partnerships between incubation centers have proven to be effective in promoting innovation processes in biotechnology firms.","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43538877","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 personalized medication enables tailor-made prevention and treatment strategies that can be provided to individuals or patient groups in the form of specifically designed therapies that can work best for them. Search strategies enable low money wastage and save time as there is no need for trial-and-error treatments. However, the adoption of personalized medication and required technology has been slow across the world, including in the European Union. In the scope of the current study, the researcher has focused on the personalized medication landscape in France. The aim of the researcher was to analyze the general information regarding personalized medication within the country, the regulatory and reimbursement processes within the country, and the various barriers and solutions to them. For this purpose, the researcher contacted industry professionals, researchers, and policymakers in order to conduct export interviews to collect the data. Thematic analysis was applied to this data to find out that there are many barriers faced, especially in terms of knowledge and education for personalized medication. However, several benefits and strategies to overcome the regulatory and reimbursement barriers have also been suggested.
{"title":"Leading the Path for Personalized Medication and Medical Technology: Highlighting the strategies to Overcome Barriers to Adoption, Regulation, and Reimbursement Perspectives","authors":"Manon Zoé","doi":"10.5912/jcb1526","DOIUrl":"https://doi.org/10.5912/jcb1526","url":null,"abstract":"The personalized medication enables tailor-made prevention and treatment strategies that can be provided to individuals or patient groups in the form of specifically designed therapies that can work best for them. Search strategies enable low money wastage and save time as there is no need for trial-and-error treatments. However, the adoption of personalized medication and required technology has been slow across the world, including in the European Union. In the scope of the current study, the researcher has focused on the personalized medication landscape in France. The aim of the researcher was to analyze the general information regarding personalized medication within the country, the regulatory and reimbursement processes within the country, and the various barriers and solutions to them. For this purpose, the researcher contacted industry professionals, researchers, and policymakers in order to conduct export interviews to collect the data. Thematic analysis was applied to this data to find out that there are many barriers faced, especially in terms of knowledge and education for personalized medication. However, several benefits and strategies to overcome the regulatory and reimbursement barriers have also been suggested.","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42278726","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}
Healthcare system is an essential system for any nation as it is responsible for maintaining the health of the individuals and public. However, the outbreak of different viral diseases such as influenza, covid-19 etc. has encouraged medical research in different developing and developed countries. Similarly, in Malaysia, different public and private research centers and biotechnology firms are being promoted to develop new and innovative medical drugs and equipment. However, different challenges are faced by the developers in promoting the development and innovations of medical commodities. Thus, this study was conducted to investigate different challenges in the development, funding, and reimbursement of medical innovations in Malaysia. For this purpose, semi-structured interviews were conducted with 7 developers from different public research and development (R&D) centers and biotechnology firms in Malaysia. After the interviews were conducted, their edited transcription was obtained, and thematic analysis was conducted, and different themes and sub-themes were formulated. The results obtained from this study showed that the lack of innovative environment, strategic compliances and effective funding structure negatively influences medical innovations in Malaysia. It has also been observed that poor reimbursement practices and policies and lack of pricing strategies by the Malaysian government impacts the ROI of the associated firms and developers. Thus, it has been recommended that mega-funds and reimbursement policies should be promoted to overcome these challenges in medical innovations.
{"title":"Highlighting the Challenges in the Development, Funding, and Reimbursement of Medical Innovations from a Developer Perspective","authors":"Dr. Nira Hariyatie Hartani, Muhammad Talal Ahmad,","doi":"10.5912/jcb1530","DOIUrl":"https://doi.org/10.5912/jcb1530","url":null,"abstract":"Healthcare system is an essential system for any nation as it is responsible for maintaining the health of the individuals and public. However, the outbreak of different viral diseases such as influenza, covid-19 etc. has encouraged medical research in different developing and developed countries. Similarly, in Malaysia, different public and private research centers and biotechnology firms are being promoted to develop new and innovative medical drugs and equipment. However, different challenges are faced by the developers in promoting the development and innovations of medical commodities. Thus, this study was conducted to investigate different challenges in the development, funding, and reimbursement of medical innovations in Malaysia. For this purpose, semi-structured interviews were conducted with 7 developers from different public research and development (R&D) centers and biotechnology firms in Malaysia. After the interviews were conducted, their edited transcription was obtained, and thematic analysis was conducted, and different themes and sub-themes were formulated. The results obtained from this study showed that the lack of innovative environment, strategic compliances and effective funding structure negatively influences medical innovations in Malaysia. It has also been observed that poor reimbursement practices and policies and lack of pricing strategies by the Malaysian government impacts the ROI of the associated firms and developers. Thus, it has been recommended that mega-funds and reimbursement policies should be promoted to overcome these challenges in medical innovations.","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45548957","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 Enterprise Resource Planning (ERP) system’s role in managing business processes has become more pronounced with time. The study aimed to assess whether using an ERP system impacts the performance of biotechnologies firms (FP). The study undertook Business Model Innovation (BMI) and Top Management Support (TMS) as mediators. Data was collected from managers in Biotechnology companies in Malaysia through purposive sampling. A sample of 276 respondents was analyzed using confirmatory factor analysis and structural equation modeling for evaluating the model fitness and structural linkages. The results showed no significant association between the ERP system and FP. Nevertheless, it was found that BMI and TMS significantly mediate the relationship between ERP systems and FP. The findings of the study have added empirical evidence to the existing literature on ERP systems. They are useful in helping managers and decision-makers in organizations to take the necessary steps to implement and use ERP systems. Business model innovation and top management support are important practices in using ERP systems to boost financial performance.
{"title":"Does Usage of ERP Systems in Biotechnology Firms Improve their Financial Performance? Role of Business Model Innovation and Top Management Support.","authors":"Dr. Muhammad Haseeb","doi":"10.5912/jcb1524","DOIUrl":"https://doi.org/10.5912/jcb1524","url":null,"abstract":"The Enterprise Resource Planning (ERP) system’s role in managing business processes has become more pronounced with time. The study aimed to assess whether using an ERP system impacts the performance of biotechnologies firms (FP). The study undertook Business Model Innovation (BMI) and Top Management Support (TMS) as mediators. Data was collected from managers in Biotechnology companies in Malaysia through purposive sampling. A sample of 276 respondents was analyzed using confirmatory factor analysis and structural equation modeling for evaluating the model fitness and structural linkages. The results showed no significant association between the ERP system and FP. Nevertheless, it was found that BMI and TMS significantly mediate the relationship between ERP systems and FP. The findings of the study have added empirical evidence to the existing literature on ERP systems. They are useful in helping managers and decision-makers in organizations to take the necessary steps to implement and use ERP systems. Business model innovation and top management support are important practices in using ERP systems to boost financial performance.","PeriodicalId":88541,"journal":{"name":"Journal of commercial biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44234597","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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