ABSTRACT
After the COVID-19 pandemic, the bio-industry is becoming increasingly important. Therefore, it is necessary to respond to the changed environment after COVID-19 by analyzing the bio-industry situation before the COVID-19 pandemic. In addition, Korean bio-industry is a very important industry for Korea's economic growth, so huge investments are being made in the development of bio-companies. Therefore, it is necessary to analyze the effect of innovation capabilities on the performance of the Korean bio-industry. Korea's bio-industry has been developing under the leadership of the government. Thus, Korea's bio-companies need various forms of innovation to achieve sustainability through competitive advantage on their own. The objective of this research is to find the competitive advantage factors that improve the innovation ability of the Korean bio-industry. Therefore, the elements that increase a company's innovation capability were studied in order to uncover competitive advantage factors that improve the Korean bio-industry's innovation capability, and the effect on corporate performance was analyzed. Using samples from the ‘Korean Bio-industry Survey', the current state of the Korean bio-industry was examined through a review of all bio-industry enterprises. In addition, each of the eight bio-industries was examined using Korea's industrial classification system. As an analysis method, multiple regression analysis of SPSS 25 was performed to analyze how the six input factors have a complex effect on the output factor. This study discovered that R&D intensity, machine investment, and human resource characteristics all had an impact on the business performance of Korean biotech enterprises. In eight bio-sectors, elements affecting company success were defined differently. Therefore, through this study, Korean bio-companies must understand their own industrial characteristics, and develop factors that affect business performance through strategic operational management. In addition, based on the results of this study, companies should strengthen the innovation capabilities of the bio-industry to survive post-COVID-19, analyze changes in innovation capabilities, and promote sustainable growth by strengthening key innovation factors.
ABSTRACT
Background: The COVID-19 pandemic has had a dramatic toll worldwide on the populations but also has been essentially supported by the existing public health system, particularly hospital-based emergency wards and intensive care units. In France, the first cases were identified on the 24th of January 2020. The first epidemic sprout emerged in the Eastern part of the country and spread in two weeks towards the center to the Paris-region where it peaked on the 14th of April 2020. In Paris and the region around it, the intensity of the epidemic has increased significantly to have a strong impact on all public and private hospital systems in a few weeks. During France's 2020 COVID-19 epidemic, a private hospital went into a major organizational change of its Emergency Department which mainly included the use of a Telemedicine Booth for vitals automatic recording during triage procedures.Purpose: The purpose of this study is to share a unique exerience centered on the use of a Telemedicine Booth as a screening process during an epidemic. Researche design: The present study is a case report describing the organizational scheme adopted by the hospital and discusses the data of 1844 patients that attended the facility over a month and the results of a questionaire survey adressed to the Emergency Department personnel.Study sample: The study population is the population that Data where collecte.Data collection and analysis: Quantitative activity indicators' data were collected with a specific triage register, patient management software and the Telemedicine Booth activity software and were analysed with basic statistics. Results and Conclusions: Among the 1844 patients, 766 were engaged in an automated triage process supported by a Telemedicine Booth. Patients' clinical characteristics are comparable to those found in international literature during the COVID-19 pandemic. The use of the Telemedicine Booth as a screening process facilitated patients' flow. It usefully participated in the patient rapid orientation, relieving the hospital emergency department, actively contributes in a safe and secure environment highly trusted by the hospital staff and health workers. To our knowledge, the Telemedicine Booth use as a screening process during an epidemic constitutes the first contribution to such an innovative approach.
ABSTRACT
Predictive monitoring is a key activity in some Process-Aware Information Systems (PAIS) such as information systems for operational management support. Unforeseen circumstances like COVID can introduce changes in human behaviour, processes, or computing resources, which lead the owner of the process or information system to consider whether the quality of the predictions made by the system (e.g., mean time to solution) is still good enough, and if not, which amount of data and how often the system should be trained to maintain the quality of the predictions. To answer these questions, we propose, compare, and evaluate different strategies for selecting the amount of information required to update the predictive model in a context of offline learning. We performed an empirical evaluation using three real-world datasets that span between 2 and 13 years to validate the different strategies which show a significant enhancement in the prediction accuracy with respect to a non-update strategy. © 2022, Springer Nature Switzerland AG.
ABSTRACT
The paper discusses the current updates to organizing COVID hospitals (adaptation for use as makeshift hospital, repurposing of existing healthcare facilities) and requirements to their operational management (in the context of innovative medicine and construction) in the Russian Federation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The present study's main objective was to analyze and determine the impact of digital marketing on the management of relationships with university students in times of Covid-19. The study was conducted from a quantitative approach, with a non-experimental transactional correlational transactional research design. A questionnaire was applied to 400 students aged 18 to 37 years belonging to the Continental University of the city of Huancayo in Peru. The analysis of the results was developed through a data structure and tabulation model with the SmartPLS3 program and it was obtained that Content Marketing has a significant influence on the operational management of customer relationships (p<0.05), as well as on the analytical and collaborative management of customer relationships. As for Social Media Marketing, it was identified that it has a significant influence on operational customer relationship management (p<0.05), as well as on analytical and collaborative customer relationship management, due to the fact that the digital media used by Continental University are attractive to parents and families. It is concluded that Digital Marketing has a great impact on the management of relationships with students of the Continental University in the city of Huancayo in Peru. © 2022 by the authors;licensee Growing Science, Canada.