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Remote Working Study 2022
(2022)
The Remote Working Study 2022 is focused on the transition to work from home (WFH) triggered by the stay at home directives of 2020. These directives required employees to work in their private premises wherever possible to reduce the transmission of the coronavirus. The study, conducted by the Center for Enterprise Information Research (CEIR) at the University of Koblenz from December 2021 to January 2022, explores the transition to remote working.
The objective of the survey is to collect baseline information about organisations’ remote work experiences during and immediately following the COVID-19 lockdowns. The survey was completed by the key persons responsible for the implementation and/or management of the digital workplace in 19 German and Swiss organisations.
The data presented in this report was collected from member organisations of the IndustryConnect initiative. IndustryConnect is a university-industry research programme that is coordinated by researchers from the University of Koblenz. It focuses on research in the areas of the digital workplace and enterprise collaboration technologies, and facilitates the generation of new research insights and the exchange of experiences among user companies.
Artificial intelligence (AI) is of rising importance in these days. AI is increasingly used in various company fields. Nonetheless, no high-quality scientific sources could be found stating the use of AI in the field of leadership. This research gap is addressed with this elaboration by performing expert interviews with leaders. In total seventeen companies could be questioned. The results indicate that AI is not widely used in leadership yet since only one company uses it currently and just about 10% of the participants plan the implementation in the closer feature. While the following items ex- plain why companies want to use AI in leadership: Chances for automation, time and cost savings, many important disadvantages and issues prevent companies from actively using it now: No areas of application are known, no need justifies the use, human interactions as a key aspect of leadership is reduced and it is hard to collect all necessary data. Beyond that, it was aimed to identify changes in the field of leadership through the use of AI. This objective could not be addressed due to the limited number of participants using AI in leadership.
Keywords: Leadership, artificial intelligence, transformation, state-of-use
Das Interesse am Konzept Crowdfunding ist in den letzten Jahren sowohl aus der Wirtschaft als auch aus der Wissenschaft gestiegen. Neben Künstlern und Entrepreneuren finanzieren nun auch Wissenschaftler ihre Projekte durch zahlreiche kleine Beiträge aus der Crowd. Allerdings spiegelt die wahrgenommene Nutzung in Deutschland nicht die Vorteile einer Crowdfunding-Kampagne wider, insbesondere nicht im internationalen Vergleich. Die vorliegende Studie untersucht diesen Umstand, indem sie die Motive und Barrieren für eine Finanzierung durch Crowdfunding identifiziert, um Empfehlungen für Forschungseinrichtungen zur Förderung von Crowdfunding zu formulieren. Durch eine Literaturanalyse werden erste Erkenntnisse ermittelt, welche dann für die Durchführung von qualitativen Interviews mit elf Wissenschaftlern, die bereits eine Crowdfunding-Kampagne erfolgreich abgeschlossen haben, verwendet werden. Die Ergebnisse zeigen, dass ForscherInnen in Deutschland Crowdfunding in erster Linie dazu verwenden, Aufmerksamkeit für das Thema und die wissenschaftliche Gemeinschaft im Allgemeinen zu schaffen. Die größten Barrieren sind der enorme Aufwand, der mit einer Kampagne verbunden ist, und die mangelnde Reputation des Konzepts des Crowdfunding seitens der deutschen Wissenschaft. Zudem eignen sich nur Themen und Projekte mit einer hohen Öffentlichkeitswirksamkeit und einem Fördervolumen von maximal fünfstelligen Beträgen. Darüber hinaus konnte die öffentliche Wahrnehmung der Experten während der Kampagne als zusätzliche Barriere identifiziert werden.
Diese Ergebnisse führen zu drei Empfehlungen für Forschungseinrichtungen zur Förderung von Crowdfunding: Es wird empfohlen das Bewusstsein für das Thema Crowdfunding als zusätzliche Form der Forschungsfinanzierung zu sensibilisieren und die Vorteile einer Crowdfunding-Kampagne hervorzuheben. Universitäten sollten mit Crowdfunding Akteuren (bspw. Plattformen und Experten) zusammenarbeiten und die Netzwerkeffekte einer Universität sollten genutzt werden. Die Universitäten sollten Unterstützung leisten, um die Arbeitsbelastung auf interdisziplinäre Teams zu verteilen, um so das Verhältnis zwischen Aufwand und Ertrag zu optimieren. Die gewählte Methodik und der Geltungsbereich der Thesis eröffnen weitere Forschungsmöglichkeiten, die die Perspektive der Universitäten und die Bedingungen in anderen Ländern untersuchen könnten. Darüber hinaus ist eine groß angelegte quantitative Studie erforderlich, um die identifizierten Konzepte statistisch zu validieren.
Despite widespread plans of big companies like Amazon and Google to develop unmanned delivery drones, scholarly research in this field is scarce, especially in the information systems field. From technical and legal perspectives, drone delivery in last-mile scenarios is in a quite mature state. However, estimates of user acceptance are varying between high skepticism and exaggerated optimism. This research follows a mixed method approach consisting both qualitative and quantitative research, to identify and test determinants of consumer delivery drone service adoption. The qualitative part rests on ten interviews among average consumers, who use delivery services on a regular basis. Insights gained from the qualitative part were used to develop an online survey and to assess the influence of associated risks on adoption intentions. The quantitative results show that especially financial and physical risks impede drone delivery service adoption. Delivery companies who are currently thinking about providing a delivery drone service may find these results useful when evaluating usage behaviors in the future market for delivery drones.
Railway safety is a topic which gains the public attention only if major railway accidents happen. This is because railway is considered as a safe mode of travel by the public. However, to ensure the safety of the railway system railway companies as well as universities conduct a broad spectrum of research. An overview of this research has not yet been provided in the scholarly literature. Therefore, this thesis follows two objectives. First an overview and ranking of railway safety research universities should be provided. Second, based on these universities, it should be identified which are the most relevant and influential research topics. The ranking is based on the research method “literature review” which forms the methodical basis for this thesis. To evaluate the universities based on a measurable and objective criterion, the number of citations of the researchers from each university is gathered. As a result, the University of Leuven for the civil engineering, Milan Politechnico for mechanical enginering and the University of Loughborough for electrical engineering are identified as the leading university in their field of railway safety research. The top universities for each discipline are distributed all over Europe, North America and Asia. However, a clear focus on the US and British universities is observed. For identification of the most relevant and influential topics the keywords from the publications which are considered in the ranking procedure are analyzed. Focus areas among these keywords are revealed by calculating the count of each keyword. High-speed trains as well as maintenance are recognized as the highly relevant topics in both civil and mechanical engineering. Furthermore, the topic of railway dynamics for mechanical engineering and noise and vibration for civil engineering are identified as the leading topics in the respective discipline. Achieving both research goals required exploratory approaches. Therefore, this thesis leaves open space for future research to deepen the individual topics which are approached in each section. A validation of the results through experts interviews as well as a deepening of the analysis through increasing the number of analyzed universities as well as applying statistical methods is recommended.
This paper describes the robots TIAGo and Lisa used by
team homer@UniKoblenz of the University of Koblenz-Landau, Germany,
for the participation at the RoboCup@Home 2019 in Sydney,
Australia. We ended up first at RoboCup@Home 2019 in the Open Platform
League and won the competition in our league now three times
in a row (four times in total) which makes our team the most successful
in RoboCup@Home. We demonstrated approaches for learning from
demonstration, touch enforcing manipulation and autonomous semantic
exploration in the finals. A special focus is put on novel system components
and the open source contributions of our team. We have released
packages for object recognition, a robot face including speech synthesis,
mapping and navigation, speech recognition interface, gesture recognition
and imitation learning. The packages are available (and new packages
will be released) on http://homer.uni-koblenz.de.
This paper describes the robots TIAGo and Lisa used by team homer@UniKoblenz of the University of Koblenz-Landau, Germany, for the participation at the RoboCup@Home 2018 in Montreal, Canada. Further this paper serves as qualification material for the RoboCup-@Home participation in 2018. A special focus is put on novel system components and the open source contributions of our team. This year the team from Koblenz won the biggest annual scientianc robot competition in Montreal in the RoboCup@Home Open Platform track for the third time and also won the RoboCup@Home German Open for the second time. As a research highlight a novel symbolic imitation learning approach was demonstrated during the annals. The TIAGo robotic research platform was used for the first time by the team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on http://wiki.ros.org/agas-ros-pkg. Further information can be found on our project page http://homer.uni-koblenz.de.
This paper describes the robot Lisa used by team homer@UniKoblenz of the University of Koblenz Landau, Germany, for the participation at the RoboCup@Home 2017 in Nagoya, Japan. A special focus is put on novel system components and the open source contributions of our team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on
http://wiki.ros.org/agas-ros-pkg.
This paper describes the robot Lisa used by team
homer@UniKoblenz of the University of Koblenz Landau, Germany, for the participation at the RoboCup@Home 2016 in Leipzig, Germany. A special focus is put on novel system components and the open source contributions of our team. We have released packages for object recognition, a robot face including speech synthesis, mapping and navigation, speech recognition interface via android and a GUI. The packages are available (and new packages will be released) on http://wiki.ros.org/agas-ros-pkg.
Um die Attraktivität eines Unternehmens für Bewerber zu steigern und die Zufriedenheit der Angestellten zu verbessern ist es heutzutage unumgänglich, eine Vielzahl an Work-Life-Balance Maßnahmen anzubieten. Doch die zeitlichen und finanziellen Kosten, welche deren Einführung verursacht, fordern eine Priorisierung der Maßnahmen. Zur Entwicklung einer solchen Empfehlung für Unternehmen untersucht diese Studie ob es Work-Life-Balance Maßnahmen gibt, welche einen höheren Einfluss auf die Arbeitszufriedenheit ausüben als andere, wie groß der relative Effekt von den Maßnahmen im Vergleich zu anderen arbeitsbezogenen und privaten Variablen auf die Veränderung der Arbeitszufriedenheit ist, ob es einen Zusammenhang zwischen der Effektivität einer Maßnahme und deren Nutzung gibt und ob es Unterschiede zwischen den Erwartungen der Angestellten und den Angeboten der Unternehmen gibt.
Diese Fragen sind in acht Forschungshypothesen formuliert, welche in einem quantitativen Design mit Daten von 289 Angestellten von fünfzehn verschiedenen deutschen Unternehmen aus einem Online-Fragebogen überprüft werden. Für die Bildung einer Hierarchie von Maßnahmen nach ihrem Einfluss auf die Arbeitszufriedenheit und die Untersuchung des relativen Effektes im Vergleich zu anderen Variablen wird eine multiple Regressionsanalyse verwendet, während für die Ermittlung der Unterschiede zwischen den Erwartungen der Angestellten und der Verfügbarkeit der Angebote T-Tests durchgeführt werden.
Unterstützung bei der Kindesbetreuung, Unterstützung bei ehrenamtlichen Tätigkeiten und Teambuilding-Events haben einen signifikant höheren Einfluss auf die Arbeitszufriedenheit als andere Maßnahmen, und die hypothetische Nutzung ist höher
als die tatsächliche Nutzung, was auf ein hohes Potenzial dieser Maßnahmen bezüglich der Verbesserung der Arbeitszufriedenheit durch deren Einführung schließen lässt. Darüber hinaus sind aus Sicht der Angestellten flexible Arbeitszeiten und Arbeitsorte sowie Freizeit- und Überstundenkonten die wichtigsten Maßnahmen, welche auch bereits flächendeckend in den befragten Unternehmen angeboten werden. Allgemein sind die Nutzung der verfügbaren Maßnahmen und die Anzahl der angebotenen Maßnahmen wichtiger im Hinblick auf die Arbeitszufriedenheit als die Art der Maßnahmen. Außerdem nehmen Work-Life-Balance Maßnahmen bei jüngeren Menschen einen höheren Stellenwert in Bezug auf die Arbeitszufriedenheit ein als bei älteren Menschen.