Forschungsbericht 2020
Personalwirtschaft und Arbeitsorganisation W-9
Leitung: Prof. Dr. Christian M. Ringle
Institut auf TORE
Institutswebsite
The Institute of Human Resource Management and Organizations (HRMO), W-9, belongs to the department for Management Sciences and Technology at the Hamburg University of Technology (TUHH). The instiute's mission is to conduct outstanding research, to offer the students excellent lectures and seminars for a top-level education, and to ensure continuous knowledge transfer by frequently undertaking applied business projects with renowned companies. The instiute's team is committed to improving the already excellent reputation of the TUHH.
Publikationen
- Data science in maritime and city logistics : data-driven solutions for logistics and sustainability - Proceedings
Hamburg International Conference of Logistics (HICL 2020)
Open Access
- Data science and innovation in supply chain management : how data transforms the value chain - Proceedings
Hamburg International Conference of Logistics (HICL 2020)
Open Access
- Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis - Article
Cho, Gyeongcheol; Hwang, Heungsun; Sarstedt, Marko; Ringle, Christian M.
Journal of Marketing Analytics 8: 189-202 (2020-09-20)
Open Access Publisher DOI
- Elderly Customers' Reactions to Service Failures: The Role of Future Time Perspective, Wisdom and Emotional Intelligence - Article
Chaouali, Walid; Souiden, Nizar; Ringle, Christian M.
Journal of Services Marketing: In Press (2020-09-17)
Publisher DOI
- Cross-validated Predictive Ability Test (CVPAT) in Partial Least Squares Structural Equation Modeling (PLS-SEM) - Presentation
Ringle, Christian M.; Liengaard, Benjamin Dybro
XXVI Congresso Nazionale AIP, Sezione Sperimentale (2020-09-03)
- Über den Einsatz von SAP S/4HANA in der digitalen, internationalen Lehre - inProceedings
Damberg, Svenja
SAP Academic Community Conference D-A-CH: 2-8 (2020-09)
Publisher DOI
- Structural equation models: from paths to networks (Westland 2019) - Article
Sarstedt, Marko; Ringle, Christian M.
Psychometrika 85: 841-844 (2020-09-01)
Open Access Publisher DOI
- When predictors of outcomes are necessary : guidelines for the combined use of PLS-SEM and NCA - Article
Richter, Nicole Franziska; Schubring, Sandra; Hauff, Sven; Ringle, Christian M.; Sarstedt, Marko
Industrial Management & Data Systems 120 (12): 2243-2267 (2020-08-04)
Publisher DOI
- Partial least squares structural equation modeling in HRM research - Article
Ringle, Christian M.; Sarstedt, Marko; Mitchell, Rebecca; Gudergan, Siegfried
International Journal of Human Resource Management 31 (12): 1617-1643 (2020-07-03)
Publisher DOI
- Structural model robustness checks in PLS-SEM - Article
Sarstedt, Marko; Ringle, Christian M.; Cheah, Jun-Hwa; Ting, Hiram; Moisescu, Ovidiu I.; Radomir, Lacramioara
Tourism Economics 26 (4): 531-554 (2019-01-23)
Publisher DOI
- Data generation for composite-based structural equation modeling methods - Article
Schlittgen, Rainer; Sarstedt, Marko; Ringle, Christian M.
Advances in Data Analysis and Classification 14: 747-757 (2020-05-26)
Publisher DOI
- This fast car can move faster: a review of PLS-SEM application in higher education research - Article
Ghasemy, Majid; Teeroovengadum, Viraiyan; Becker, Jan-Michael; Ringle, Christian M.
Higher Education 80: 1121-1152 (2020)
Publisher DOI
- Beyond a tandem analysis of SEM and PROCESS : use of PLS-SEM for mediation analyses! - Article
Sarstedt, Marko; Hair, Joseph F.; Nitzl, Christian; Ringle, Christian M.; Howard, Matthew C.
International Journal of Market Research 62 (3): 288-299 (2020)
Publisher DOI
- Der Einfluss von Arbeitsplatzdimensionen auf die Kündigungsabsicht - Presentation
Frömbling, Lena; Ehrlich, Janna; Castillo Apraiz, Julen
Fachtagung der Gesellschaft für angewandte Wirtschaftspsychologie e. V. (GWPs 2020)
- Prediction: coveted, yet forsaken? introducing a cross‐validated predictive ability test in partial least squares path modeling - Article
Liengaard, Benjamin Dybro; Sharma, Pratyush Nidhi; Hult, G. Tomas M.; Jensen, Morten Berg; Sarstedt, Marko; Hair, Joseph F.; Ringle, Christian M.
Decision Sciences (in Press): (2020)
Publisher DOI
- A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA - Article
Hwang, Heungsun; Sarstedt, Marko; Cheah, Jun Hwa; Ringle, Christian M.
Behaviormetrika 47: 219-241 (2020-01)
Publisher DOI
- SEM: measurement models with composites and common factors - Presentation
Hair, Joseph F.; Rigdon, Edward E.; Ringle, Christian M.
AMA Winter Academic Conference (2020)
- Service quality and customer satisfaction: the moderating effects of hotel star rating - Article
Nunkoo, Robin; Teeroovengadum, Viraiyan; Ringle, Christian M.; Sunnassee, Vivek
International Journal of Hospitality Management (91): 102414 (2020)
Publisher DOI
- Using Gaussian copulas to address endogeneity in regression : recommendations based on simulation studies - Presentation
Becker, Jan-Michael; Ringle, Christian M.; Proksch, Dorian
AMA Winter Academic Conference (2020)
- Executing and Interpreting Applications of PLS-SEM: Updates for Family Business Researchers - Article
Hair, Joseph F.; Binz Astrachan, Claudia; Moisescu, Ovidiu I.; Radomir, Lacramioara; Sarstedt, Marko; Vaithilingam, Santha; Ringle, Christian M.
Journal of Family Business Strategy (in Press): (2020)
Publisher DOI
Projekte
- Führung und Arbeitszufriedenheit
Technische Universität Hamburg; Laufzeit 2019 - 2023
Projektleitung: Ringle, Christian M.
Mitarbeitende: Ehrlich, Janna
- How to Suceed in Innovation
Technische Universität Hamburg; Laufzeit 2018 - 2021
Projektleitung: Ringle, Christian M.
- Aging Workforce and Job Satisfaction in China
Technische Universität Hamburg; Laufzeit 2018 - 2022
Projektleitung: Ringle, Christian M.
Mitarbeitende: Frömbling, Lena
- Reputation of Cooperative Banks
Technische Universität Hamburg; Laufzeit 2017 - 2021
Projektleitung: Ringle, Christian M.
Mitarbeitende: Damberg, Svenja
- Partial Least Squares Structural Equation Modeling-Based Discrete Choice Modeling
Technische Universität Hamburg; Laufzeit 2015 - 2021
Projektleitung: Ringle, Christian M.
Mitarbeitende: Fischer, Andreas
- Aging Users Technology and Innovation Acceptance and Satisfaction
Technische Universität Hamburg; Laufzeit 2012 - 2021
Projektleitung: Ringle, Christian M.
Mitarbeitende: Schubring, Sandra
- Customer Loyalty in Banking
Technische Universität Hamburg; Laufzeit 2012 - 2021
Projektleitung: Ringle, Christian M.
Mitarbeitende: Hegner-Kakar, Anne Kathrin