Management & Entrepreneurship
Professor Danilov is engaged in empirical human resource management research, as well as the identification of causal relationships of the effect of human resource management tools on employee motivation and productivity. She also conducts research in organizational and human resource economics, in the field of empirical human resource management (HRM), and in the course of this she works with Big Data and People Analytics using machine learning.
- randomized studies (A/B tests) on incentive setting
- work design and employee motivation
- analysis of data (accounting, personnel, etc.)
- "Delegation of decision making and productivity and employee satisfaction" at a world-leading energy company.
Accor Hotels Germany, SHS VIVEON
Prof. Ziegler and his team’s area of expertise is psychological diagnostics. He successfully collaborated with renowned companies on projects, which focused on the development of competence models, employee surveys, annual performance reviews and occupational aptitude testing. Prof. Ziegler and his team also train individuals or teams on topics of personnel assessment, e.g. assessment centres and interviews. Moreover, Prof. Ziegler develops customised diagnostic processes and evaluates them.
PC-laboratory with 10 workstations as well as several performance and personality tests.
- Accor Hotels Germany: development of competence models
- SHS VIVEON: realisation of training for interviewers
- International executive headhunting company: development of customised personality test
Prof. Hoppe’s research is focused on Occupational Health Psychology (OHP) especially on the analysis of work activities to maintain employee health and performance as well as to provide learning and development opportunities. OHP integrates occupational and health psychology with occupational medicine and traditional labor safety, which is insufficient for today’s flexible employment situation. Prof. Hoppe also examines the psychosocial characteristics of a specific workplace, e.g. work requirements or the level of influence on and control over tasks as well as the social working environment. She also studies the effects of these characteristics on employee health and his/her well-being. She investigates how psychosocial work characteristics influence an employee’s motivating factors like job satisfaction and commitment. Particular attention is paid to the situation of migrant and low-skilled workers and the analysis of the impact their workplaces and work environments may have on their health and well-being. Moreover, Prof. Hoppe studies multi-ethnic and -lingual workforces and the effects of diversity on employee health.
- risk assessment methods for workplace conditions
- employee surveys regarding the promotion of health at workplace
- postal operators, logistics companies, professional care providers, manufacturing companies: execution of employee surveys to gather data on psychosocial strain and resources in the workplace and to analyse effects of stress, job satisfaction and work performance
- public institutions (e.g. universities, federal ministries), consulting companies, self-employed persons: development of health-related interventions and training sessions via mobile devices (e.g. smartphones, tablets) to facilitate recovery strategies and self-management
Prof. Haerdle’s main research interests are quantitative finance, esp. multivariate methods in banking and finance, dimension reduction techniques, and computational statistics. In his roles both as coordinator of the Collaborative Research Center “Economic Risk” (CRC 649) and director of the interdisciplinary Center for Applied Statistics and Economics (C.A.S.E.) he primarily investigates economic risks on a global scale. Prof. Haerdle’s research aims at facilitating the evaluation of such risks and to reduce uncertainty to improve economic actors’ decision-making.
Prof. Haerdle is Distinguished Visiting Professor Wang Yanan Institute for Studies in Economics (WISE) at Xiamen University, China, as well as director of the International Research Training Group “High Dimensional Non Stationary Time Series” (ITRG 1792). Among other distinctions he received the “Econometric Theory Multa Scripsit Award” in 2012.
- multivariate statistical analysis (factor analysis, cluster Analysis, etc.)
- portfolio optimisation
- risk management
- pricing derivatives
- functional data analysis
- non- and semi-parametric methods
- data visualisation
- Ongoing cooperation with and lecturing for leading international financial institutions
- Center for Applied Statistics and Economics (C.A.S.E.): interdisciplinary research centre with the goal to analyze and solve current complex economic problems and those arising in related fields with the help of quantitative methods and computing. Its research subjects range from weather risk, aging societies, crime to property markets
- Collaborative Research Center “Economic Risk” (CRC 649): center of transdisciplinary research where insights from economics, mathematics and statistics converge to analyze economic risks and risk factors. The CRC offers an international platform for discussion of the latest research results and collaborations