Refine
Year of publication
- 2024 (2)
- 2023 (7)
- 2022 (6)
- 2021 (6)
- 2020 (11)
- 2019 (3)
- 2018 (2)
- 2017 (2)
- 2016 (2)
- 2015 (5)
- 2014 (6)
- 2013 (12)
- 2012 (10)
- 2011 (3)
- 2010 (2)
- 2009 (4)
- 2008 (9)
- 2007 (11)
- 2006 (6)
- 2005 (5)
- 2004 (2)
- 2003 (7)
- 2002 (7)
- 2001 (5)
- 2000 (4)
- 1999 (14)
- 1998 (7)
- 1997 (6)
- 1996 (7)
- 1995 (5)
- 1994 (9)
- 1993 (3)
- 1992 (3)
- 1991 (3)
- 1990 (5)
- 1987 (1)
- 1986 (2)
- 1984 (1)
Institute
- Fachbereich Wirtschaftswissenschaften (205) (remove)
Has Fulltext
- no (205) (remove)
Language
- English (205) (remove)
Document Type
- Article (114)
- Conference Proceeding (42)
- Book (32)
- Part of a Book (14)
- Working Paper (2)
- Doctoral Thesis (1)
Keywords
- rebound-effect (2)
- sustainability (2)
- Active learning (1)
- Bank-issued Warrants (1)
- Brands (1)
- Business Models (1)
- Business Process Intelligence (1)
- Case Study (1)
- Challenges (1)
- Change (1)
This publication is intended to present the current state of research on the rebound effect. First, a systematic literature review is carried out to outline (current) scientific models and theories. Research Question 1 follows with a mathematical introduction of the rebound effect, which shows the interdependence of consumer behaviour, technological progress, and interwoven effects for both. Thereupon, the research field is analysed for gaps and limitations by a systematic literature review. To ensure quantitative and qualitative results, a review protocol is used that integrates two different stages and covers all relevant publications released between 2000 and 2019. Accordingly, 392 publications were identified that deal with the rebound effect. These papers were reviewed to obtain relevant information on the two research questions. The literature review shows that research on the rebound effect is not yet comprehensive and focuses mainly on the effect itself rather than solutions to avoid it. Research Question 2 finds that the main gap, and thus the limitations, is that not much research has been published on the actual avoidance of the rebound effect yet. This is a major limitation for practical application by decision-makers and politicians. Therefore, a theoretical analysis was carried out to identify potential theories and ideas to avoid the rebound effect. The most obvious idea to solve this problem is the theory of a Steady-State Economy (SSE), which has been described and reviewed.
Rapid development of virtual and data acquisition technology makes Digital Twin Technology (DT) one of the fundamental areas of research, while DT is one of the most promissory developments for the achievement of Industry 4.0. 48% percent of organisations implementing the Internet of Things are already using DT or plan to use DT in 2020. The global market for DT is expected to grow by 38 percent annually, reaching USD16 billion by 2023. In addition, the number of participating organisations using digital twins is expected to triple by 2022. DTs are characterised by the integration between physical and virtual spaces. The driving idea for DT is to develop, test and build our devices in a virtual environment. The objective of this paper is to study the impact of DT in the automotive industry on the new marketing logic. This paper outlines the current challenges and possible directions for the future DT in marketing. This paper will be helpful for managers in the industry to use the advantages and potentials of DT.
The role of Germany, Japan and the United States on the ECU-bond markets / Hans Wilhelm Mackenstein
(1991)
The popularity of social media and particularly Instagram grows steadily. People use the different platforms to share pictures as well as videos and to communicate with friends. The potential of social media platforms is also being used for marketing purposes and for selling products. While for Facebook and other online social media platforms the purchase decision factors are investigated several times, Instagram stores remain mainly unattended so far. The present research work closes this gap and sheds light into decisive factors for purchasing products offered in Instagram stores. A theoretical research model, which contains selected constructs that are assumed to have a significant influence on Instagram user´s purchase intention, is developed. The hypotheses are evaluated by applying structural equation modelling on survey data containing 127 relevant participants. The results of the study reveal that ‘trust’, ‘personal recommendation’, and ‘usability’ significantly influences user’s buying intention in Instagram stores.
Eye movement modelling examples (EMME) are instructional videos that display a
teacher’s eye movements as “gaze cursor” (e.g. a moving dot) superimposed on the
learning task. This study investigated if previous findings on the beneficial effects of EMME would extend to online lecture videos and compared the effects of displaying the teacher’s gaze cursor with displaying the more traditional mouse cursor as a tool to guide learners’ attention. Novices (N = 124) studied a pre-recorded video lecture on how to model business processes in a 2 (mouse cursor absent/present) × 2 (gaze cursor absent/present) between-subjects design. Unexpectedly, we did not find significant effects of the presence of gaze or mouse cursors on mental effort and learning. However, participants who watched videos with the gaze cursor found it easier to follow the teacher. Overall, participants responded positively to the gaze cursor, especially when the mouse cursor was not displayed in the video.