Wirtschaft (MSB)
Refine
Year
Publication Type
- Lecture (220)
- Article (164)
- Part of a Book (116)
- Conference Proceeding (86)
- Report (67)
- Book (66)
- Contribution to a Periodical (6)
- Working Paper (2)
- Bachelor Thesis (1)
- Preprint (1)
Language
- English (729) (remove)
Keywords
- Process-Driven Application (5)
- BPMN (4)
- European (3)
- business (3)
- university (3)
- university-business cooperation (3)
- Boundary Spanning (2)
- Networking (2)
- University-Business Cooperation (2)
- 3D printing (1)
A research study on 18 start-up hubs in Europe. Affiliation and Publisher: PricewaterhouseCoopers
(2019)
On the Compatibility of Value at Risk, Other Risk Concepts, and Expected Utility Maximization
(1996)
Effects on Risk Taking Resulting from Limiting the Value at Risk or the Lower Partial Moment One
(1997)
In-depth analysis of customer journeys to broaden the understanding of customer behaviors and expectations in order to improve the customer experience is considered highly relevant in modern business practices. Recent studies predominantly focus on retrospective analysis of customer data, whereas more forward-directed concepts, namely predictions, are rarely addressed. Additionally, the integration of robotic process automation (RPA) to potentially increase the efficiency of customer journey analysis is not discussed in the current field of research. To fill this research gap, this paper introduces “customer journey mining”. Process mining techniques are applied to leverage digital customer data for accurate prediction of customer movements through individual journeys, creating valuable insights for improving the customer experience. Striving for improved efficiency, the potential interplay of RPA and customer journey mining is examined accordingly. The research methodology followed is based on a design science research process. An initially defined customer journey mining artifact is operationalized through an illustrative case study. This operationalization is achieved by analyzing a log file of an online travel agency functioning as an orientation for researchers and practitioners while also evaluating the initially defined framework. The data is used to train seven distinct prediction models to forecast the touchpoint a customer is most likely to visit next. Gradient-boosted trees yield the highest prediction accuracy with 43.1%. The findings further indicate technical suitability for RPA implementation, while financial viability is unlikely.
Virtual reality (VR) is starting to realize some of its promise as a tool to improve training effectiveness. However, research on VR for training and development is limited. Existing theories and models relating to organizational training and learning are infrequently used in the VR literature. A greater understanding of why VR works in the training context would help training designers create effective programs that leverage this continuously developing technology. This paper provides a typology of VR technologies specifically relevant to HR and integrates HR training frameworks and theory into findings on VR training from these other literatures. We specifically focus on immersive VR technology and seek to better understand reasons for the effectiveness of VR technologies for both training and assessment. We review findings, integrate related streams of research, and offer guideposts for those contemplating VR implementation in four important areas: training reactions in a VR context, VR-specific learning outcomes, opportunities for assessment using VR, and the effect of VR on training transfer. We conclude the paper by identifying a VR-training agenda for HR researchers.