BJAS & JAIR (Journals)
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Improving Customer Experience Using Smart Technologies in Smart Stores
Get PDFThis study investigates how ethical aspects, safe technology, and customer-friendly technologies influence the customer experience in smart stores. Smart stores are unmanned retail stores that integrate smart technologies and services. An empirical model was proposed and validated using exploratory factor analysis and multiple regression analysis, with n = 402 participants. The results demonstrate that all three constructs have a positive influence on the customer experience in smart stores. However, the results also suggest that store-based interactions (e. g. seamless access and a safe environment) have a stronger influence than product-based interactions. The results highlight the need for retailers to prioritise smart technologies that visibly enhance safety, usability, and ethical transparency. These insights support the development of smart stores that foster customer trust, improve interaction quality, and strengthen long-term customer relationships
From Necessity to Pleasure: The Impact of Hedonic Motivation and Performance Expectancy on Acceptance of Online Grocery Shopping Apps in Germany
Get PDFThis study investigates key factors influencing German consumers’ acceptance of online grocery shopping (OGS) apps. Despite the growing popularity of e-commerce, research on OGS app adoption in Germany remains limited. We applied the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to examine factors affecting acceptance and behavioral intention to use OGS apps. A quantitative approach with a convenience sample was employed in Germany. Data analysis involved principal component analysis followed by multiple linear regression analyses using IBM SPSS 28. Results showed that performance expectancy, hedonic motivation, and previous use of OGS apps significantly influenced behavioral intention. The UTAUT2 model’s predictive probability was highest when considering control variables such as gender, age, and previous app use. Our findings contribute to understanding OGS app adoption in Germany and suggest practical implications, including expanding delivery zones to rural areas. This research addresses the knowledge gap in OGS app acceptance in Germany and provides insights for researchers and practitioners in the food retail sector
Bioelectronic Medicine and Non-Communicable Diseases: Rationale for Clinical Significance, Prospects and Problems
Get PDFThe results of a theoretical study of the possibilities and prospects for solving the problem of non-communicable diseases (NCDs) are reported in the article. The authors present the ideas of the educational and scientific project “Bioelectronic Medicine or Look at Medicine Differently”, which is the result of the research. The aim of the study was to introduce the ideas of bioelectronic medicine as a promising direction for solving the problem of NCDs. This study is a fragment of the research work on "The development of algorithms and technologies for implementing a healthy lifestyle in patients with non-communicable diseases based on the study of functional status" (state registration number 0121U108237: UDC 613 616-056-06: 616.1/9-03). General scientific methods and theoretical methods were used in this theoretical study. Conclusions: Bioelectronic medicine is a promising direction for the further development of medicine and for solving the problem of NCDs because its ideas integrate modern biophysical knowledge about the structure and functioning of the nanolevel of living matter in vivo into knowledge about the functioning of the human body. This opens up new perspectives for studying the pathology of NCDs. Bioelectronic medicine, as a promising direction for solving the problem of NCDs, needs to be further developed and its ideas need to be popularized among the world’s scientific community
Digital Health: Implementing at Scale (How Can International and Bavarian Experiences Cross-Fertilize Each Other?)
Get PDFDigital health has existed for decades, but it gained traction only after the COVID-19 pandemic. In this session we discussed the scope and scale of digital health and what we have learned from the implementations at scale. The goal was to identify how other nations and healthcare systems can benefit from the lessons learned for the mass adoption of digital health. The session started with a quick overview about digital health at scale and why experience and best practice-sharing is integral to enhance the scope and increase the scale of digital health adoption. The session was chaired by Dr. Rajendra Pratap Gupta, a global expert on digital health and former advisor to the Health Minister of India, who then discussed the present digital health projects with the other digital health experts from this session. He shared the details of the PRICE Model on scaling up digital health interventions by the government and how it can be leveraged by organizations and governments across the globe
Foreword/Vorwort
No full textForeword
We are pleased to present the eighth issue of the Bavarian Journal of Applied Sciences (BJAS), which features three very diverse contributions addressing highly topical applied research questions: a research platform which evaluates new academic health professions within the German healthcare system; the possibility of curbing the spread of invasive species by unlocking their economic potential; and the evaluation of a solution that helps to improve sensors deployment in precision agriculture.
The group of authors led by Kathrin Burgmaier present the initial results of a platform development project designed to help evaluate the efficiency gains and benefits for new academic healthcare professions. The academization of healthcare professions such as nurse practitioners and physician assistants in Germany urgently requires more data. To this end, a research platform has been set up at the Deggendorf Institute of Technology to investigate the efficiency, costs, and quality of care provided by these new professional groups. The platform is intended not only to record the effects of these professions within the German healthcare system, but also to serve as a model for further national research projects.
Kathrin Auer and Helen Rogers dedicate their article to an alluring idea: helping to restrict the spread of invasive species, which are not threatened by any natural predator, by making use of them in new and innovative products. Although this sounds very promising, companies and start-ups face particular challenges. Nevertheless, the authors see great potential in combining the economically attractive use of these species with the containment of their spread.
Digitalization and the use of artificial intelligence in the agricultural sector are constantly moving forward. The article by Johann Brunner and colleagues presents a robust data recording system for agricultural machinery that works reliably even under extreme conditions. It captures image and signal data from multispectral cameras and machine-specific signals and synchronizes them precisely. Validations in the laboratory and in practical use demonstrate high data quality, availability, and real-time processing. The concept is considered practical and offers a flexible basis for future applications in precision agriculture.
We would like to thank Esther Kinateder for her proofreading and editorial support, Simone Lindlbauer for her reliable work as editorial manager and Diana Karl for her outstanding typesetting expertise. Last but not least, we would also like to acknowledge the valuable work of the peer reviewers, without whom quality assurance for the journal would be inconceivable.
Vorwort
In der 8. Ausgabe des Bavarian Journal of Applied Sciences (BJAS) finden sich drei anwendungsnahe Beiträge aus sehr unterschiedlichen Bereichen, die alle zu sehr aktuellen Themen beitragen: eine Forschungsplattform zur Evaluierung des Einsatzes von akademisiertem Pflegepersonal und Physician Assistants im deutschen Gesundheitssystem; die Möglichkeit, die Ausbreitung invasiver Arten einzudämmen, indem ihr wirtschaftliches Potenzial erschlossen wird; sowie ein System zur Erfassung, Synchronisation und Verarbeitung von Sensordaten landwirtschaftlicher Maschinen als Grundlage für KI-gestützte Anwendungen in der Präzisionslandwirtschaft.
Die Autorinnen und Autoren um Kathrin Burgmaier präsentieren erste Ergebnisse einer Plattformentwicklung, die dabei helfen soll, die Effizienzgewinne und den Nutzen von neuen akademisierten Gesundheitsberufen wie Nurse Practitioners und Physician Assistants in Deutschland zu evaluieren. In diesem Bereich sind dringend mehr Daten erforderlich. Zu diesem Zweck wurde an der Technischen Hochschule Deggendorf eine Forschungsplattform eingerichtet, die Effizienz, Kosten und Versorgungsqualität dieser neuen Berufsgruppen untersucht. Die Plattform soll nicht nur die Effekte dieser Berufe im deutschen Gesundheitssystem erfassen, sondern auch als Modell für weitere nationale Forschungsprojekte dienen.
Kathrin Auer und Helen Rogers untersuchen in ihrem Beitrag, wie es gelingen kann, die Ausbreitung invasiver Arten, die keine natürlichen Fressfeinde haben, durch menschlichen Eingriff nicht nur einzudämmen, sondern diese Arten wirtschaftlich nutzbar zu machen. Auch wenn dies Potenziale birgt, sind Unternehmen bzw. Start-ups mit besonderen Herausforderungen konfrontiert. Invasive Arten dürfen z. B. nicht angebaut werden bzw. nicht ohne Weiteres über Grenzen transportiert werden. Dennoch sehen die Autorinnen großes Potenzial darin, eine wirtschaftlich attraktive Nutzung dieser Arten mit der Eindämmung ihrer Ausbreitung zu verknüpfen.
Der Artikel von Johannes Brunner et al. widmet sich einem robusten Datenaufzeichnungssystem für landwirtschaftliche Maschinen, das auch unter extremen Bedingungen zuverlässig arbeitet. Es erfasst multispektrale Bilddaten und maschinenspezifische Signale und synchronisiert diese präzise. Validierungen im Labor und im Praxiseinsatz zeigen eine hohe Datenqualität, Verfügbarkeit und zeitnahe Verarbeitung. Das Konzept bietet damit eine praxisnahe Grundlage für KI-gestützte Anwendungen in der Präzisionslandwirtschaft, etwa zur Optimierung von Ernteprozessen oder zur Verbesserung der Ressourcennutzung.
Wir danken Esther Kinateder für Korrekturarbeiten und Redaktion, Simone Lindlbauer für ihr verlässliches Engagement als Redaktionsleitung sowie Diana Karl für die gewohnte zügige und zuverlässige Arbeit beim Satz dieser Ausgabe. Ebenso bedanken wir uns für die wertvollen Beiträge der Peer Reviewers, ohne die die Qualitätssicherung für das Journal nicht denkbar wäre.
Foreword
We are pleased to present the eighth issue of the Bavarian Journal of Applied Sciences (BJAS), which features three very diverse contributions addressing highly topical applied research questions: a research platform which evaluates new academic health professions within the German healthcare system; the possibility of curbing the spread of invasive species by unlocking their economic potential; and the evaluation of a solution that helps to improve sensors deployment in precision agriculture.
The group of authors led by Kathrin Burgmaier present the initial results of a platform development project designed to help evaluate the efficiency gains and benefits for new academic healthcare professions. The academization of healthcare professions such as nurse practitioners and physician assistants in Germany urgently requires more data. To this end, a research platform has been set up at the Deggendorf Institute of Technology to investigate the efficiency, costs, and quality of care provided by these new professional groups. The platform is intended not only to record the effects of these professions within the German healthcare system, but also to serve as a model for further national research projects.
Kathrin Auer and Helen Rogers dedicate their article to an alluring idea: helping to restrict the spread of invasive species, which are not threatened by any natural predator, by making use of them in new and innovative products. Although this sounds very promising, companies and start-ups face particular challenges. Nevertheless, the authors see great potential in combining the economically attractive use of these species with the containment of their spread.
Digitalization and the use of artificial intelligence in the agricultural sector are constantly moving forward. The article by Johann Brunner and colleagues presents a robust data recording system for agricultural machinery that works reliably even under extreme conditions. It captures image and signal data from multispectral cameras and machine-specific signals and synchronizes them precisely. Validations in the laboratory and in practical use demonstrate high data quality, availability, and real-time processing. The concept is considered practical and offers a flexible basis for future applications in precision agriculture.
We would like to thank Esther Kinateder for her proofreading and editorial support, Simone Lindlbauer for her reliable work as editorial manager and Diana Karl for her outstanding typesetting expertise. Last but not least, we would also like to acknowledge the valuable work of the peer reviewers, without whom quality assurance for the journal would be inconceivable.
Vorwort
In der 8. Ausgabe des Bavarian Journal of Applied Sciences (BJAS) finden sich drei anwendungsnahe Beiträge aus sehr unterschiedlichen Bereichen, die alle zu sehr aktuellen Themen beitragen: eine Forschungsplattform zur Evaluierung des Einsatzes von akademisiertem Pflegepersonal und Physician Assistants im deutschen Gesundheitssystem; die Möglichkeit, die Ausbreitung invasiver Arten einzudämmen, indem ihr wirtschaftliches Potenzial erschlossen wird; sowie ein System zur Erfassung, Synchronisation und Verarbeitung von Sensordaten landwirtschaftlicher Maschinen als Grundlage für KI-gestützte Anwendungen in der Präzisionslandwirtschaft.
Die Autorinnen und Autoren um Kathrin Burgmaier präsentieren erste Ergebnisse einer Plattformentwicklung, die dabei helfen soll, die Effizienzgewinne und den Nutzen von neuen akademisierten Gesundheitsberufen wie Nurse Practitioners und Physician Assistants in Deutschland zu evaluieren. In diesem Bereich sind dringend mehr Daten erforderlich. Zu diesem Zweck wurde an der Technischen Hochschule Deggendorf eine Forschungsplattform eingerichtet, die Effizienz, Kosten und Versorgungsqualität dieser neuen Berufsgruppen untersucht. Die Plattform soll nicht nur die Effekte dieser Berufe im deutschen Gesundheitssystem erfassen, sondern auch als Modell für weitere nationale Forschungsprojekte dienen.
Kathrin Auer und Helen Rogers untersuchen in ihrem Beitrag, wie es gelingen kann, die Ausbreitung invasiver Arten, die keine natürlichen Fressfeinde haben, durch menschlichen Eingriff nicht nur einzudämmen, sondern diese Arten wirtschaftlich nutzbar zu machen. Auch wenn dies Potenziale birgt, sind Unternehmen bzw. Start-ups mit besonderen Herausforderungen konfrontiert. Invasive Arten dürfen z. B. nicht angebaut werden bzw. nicht ohne Weiteres über Grenzen transportiert werden. Dennoch sehen die Autorinnen großes Potenzial darin, eine wirtschaftlich attraktive Nutzung dieser Arten mit der Eindämmung ihrer Ausbreitung zu verknüpfen.
Der Artikel von Johannes Brunner et al. widmet sich einem robusten Datenaufzeichnungssystem für landwirtschaftliche Maschinen, das auch unter extremen Bedingungen zuverlässig arbeitet. Es erfasst multispektrale Bilddaten und maschinenspezifische Signale und synchronisiert diese präzise. Validierungen im Labor und im Praxiseinsatz zeigen eine hohe Datenqualität, Verfügbarkeit und zeitnahe Verarbeitung. Das Konzept bietet damit eine praxisnahe Grundlage für KI-gestützte Anwendungen in der Präzisionslandwirtschaft, etwa zur Optimierung von Ernteprozessen oder zur Verbesserung der Ressourcennutzung.
Wir danken Esther Kinateder für Korrekturarbeiten und Redaktion, Simone Lindlbauer für ihr verlässliches Engagement als Redaktionsleitung sowie Diana Karl für die gewohnte zügige und zuverlässige Arbeit beim Satz dieser Ausgabe. Ebenso bedanken wir uns für die wertvollen Beiträge der Peer Reviewers, ohne die die Qualitätssicherung für das Journal nicht denkbar wäre.
A Solid B.A.S.E. to Innovation within the NHS: A New Approach to Social Sustainability
Get PDFThe NHS (National Health Service) Clinical Entrepreneur Programme (CEP) is the world\u27s largest workforce development programme which allows NHS workers to pursue healthcare innovations. The NHS staff learn to successfully develop and spread innovative solutions to the challenges facing the NHS. Social responsibility is the positive and additional contribution of an innovation/ company to society, their ecosystem and community. Many companies know the benefits of a socially responsible approach (customer engagement, team purpose, enhancing reputation, access to contracts requiring adherence to the Social Value Act or the United Nations Sustainable Development Goals) but the challenge has always been a lack of accountability for innovators or businesses in this area.
The UK\u27s National NHS England Clinical Entrepreneur Programme is one of the largest healthcare innovation programmes in the world. Every year, approximately 150 clinicians with an idea or innovation to improve healthcare are accepted onto the programme with an idea or innovation to improve healthcare. There is a new approach within the Clinical Entrepreneur Programme which aims to embed a social purpose into all innovations, using a new principle called B.A.S.E. (thus named because it aims for entrepreneurs to use it as a base for building their innovations). This is a novel approach. Innovation in healthcare needs a socially responsible BASE to an idea or business, which considers the Benefit to society, Advocacy and Accountability, Sustainability and Social Purpose and Ethical leadership by Empowering and Enabling others.
The BASE approach was trailed within the NHS England Clinical Entrepreneur Programme. Firstly, BASE principles were taught face-to-face and on-line. Secondly, the programme itself modelled a socially responsible BASE in its own operational activities. Thirdly, clinical entrepreneurs were able to work through a form and able to submit their social purpose, socially sustainable activities and supply chain aims, which allowed case examples to be highlighted. The BASE programme is a simple, cost-effective approach to engage, improve and lightly monitor socially responsible activities within a health workforce innovation program.
Informational Analytical Representations of the Magneto-Electrochemical Theory of Life and Health
Get PDFThe results of a theoretical study related to the role of the electromagnetic field in the process of realizing the phenomenon of life are presented. The aim of the theoretical study was to conceptualize a system of views on the role of internal electromagnetic fields in the human body for understanding the essence of the course of metabolism, the phenomena of biological life and health. General scientific and theoretical methods were used in this theoretical study. The main conclusions of the theoretical study were made as follows: 1. The life of a biological system is a process of magnetoelectric activation of its biomolecules, which starts and ensures their biochemical activity (coherent energy channeling - biochemical soliton flow) and determines structural integrity in their collective interaction of a single organism (transportation of solitons by water-energized structures - controlling soliton flow). 2. Modern deepening of fundamental knowledge to the level of the course of magnetoelectric processes at the molecular level in living biological systems is expedient to be fully integrated into medical science with a change of the electrochemical paradigm of metabolism to a magneto-electrochemical one. 3. Knowledge and understanding of quantum-mechanical features of biopolymers\u27 functions in living systems, the understanding of their energy functioning, the organization of form and role of electromagnetic components is clearly the next step to deepen the fundamental knowledge of pathogenesis of diseases related to internal organs with a further approach to optimize their treatment and prevention