Publikationsliste (seit 2007)

Monographien

  • Diederichsen, A. (2011). VC HR Eine transaktionskostentheoretische Diskussion personalwirtschaftlich relevanter Virtual Communities. Universaar.
  • Müller, D. (2012). Design characteristics of virtual learning environments. A theoretical integration and empirical test of technology acceptance and IS success research. Springer Fachmedien Wiesbaden.
  • Niklas, S. (2015). Akzeptanz und Nutzung mobiler Applikationen. Springer Gabler.
  • Piazza, F. (2010). Data Mining im Personalmanagement. Eine Analyse des Einsatzpotenzials von Data Mining zur Entscheidungsunterstützung im Personalmanagement. Gabler.
  • Strohmeier, S. (2008). Informationssysteme im Personalmanagement: Architektur - Funktionalität - Anwendung. Vieweg + Teubner. 
  • Theres, C. (2021). Antecedents and consequences of digital human resource management. An exploratory meta-analytic structural equation modeling (E-MASEM) approach to a multifaceted phenomenon. Springer Gabler.

Herausgeberbände

  • Strohmeier, S. (Hrsg.). (2022). Handbook of Research on Artificial Intelligence in Human Resource Management. Edward Elgar Publishing.
  • Strohmeier, S., & Piazza, F. (Hrsg.). (2015). Human Resource Intelligence und Analytics. Grundlagen, Anbieter, Erfahrungen und Trends. Springer Gabler.

Buchbeiträge

  • Burgard, M., & Piazza, F. (2008). Data warehouse and business intelligence systems. In T. Torres-Corronas & M. Arias-Olivas (Eds.), Encyclopedia of human resources information systems: Challenges in e-HRM (pp. 223–229). IGI.
  • Diederichsen, A. (2008). Conception, categorization, and impact of HR-relevant virtual communities. In T. Torres-Coronas & M. Arias-Olivas (Eds.), Encyclopedia of human resources information systems: Challenges in e-HRM (pp. 154–160). IGI.
  • Fettke, P., & Strohmeier, S. (2022). HR robotic process automation. In S. Strohmeier (Ed.), Handbook of Research on Artificial Intelligence in Human Resource Management (pp. 187–206). Edward Elgar Publishing.
  • Gross, F. (2022). HR machine learning on text data. In S. Strohmeier (Ed.), Handbook of Research on Artificial Intelligence in Human Resource Management (pp. 46–67). Edward Elgar Publishing.
  • Piazza, F. (2015). Systeme der Human Resource Intelligence und Analytics. In S. Strohmeier & F. Piazza (Hrsg.), Human Resource Intelligence und Analytics (pp. 89–126). Springer Gabler.
  • Strohmeier, S. (2008). Portal technology in HRM. In T. Torres-Corronas & M. Arias-Olivas (Eds.), Encyclopedia of human resources information systems: Challenges in e-HRM (pp. 823–829). IGI.
  • Strohmeier, S. (2009). Div. Stichworte “eHRM / Einzelplatzsystem / ERP-Systeme / Informationstechnik / Personalinformationssysteme”. In C. Scholz (Hrsg.), Vahlens Großes Personal­lexikon (pp. 265–268, 280, 312, 496, 888–889). Vahlen.
  • Strohmeier, S. (2012). Prozessorientiertes Personalmanagement — dynamische Reorientierung betrieblicher Personalarbeit? In V. Stein & S. Müller (Hrsg.), Aufbruch des strategischen Personalmanagements in die Dynamisierung (pp. 284–290). Nomos.
  • Strohmeier, S. (2013). Big data in the HR function — Does it really exist and is it really useful? In HRZone (Hrsg.), HR technology Theoretical and practical insights from leading European and International Academics (pp. 12–15). o.O.
  • Strohmeier, S. (2014). Research approaches in e-HRM: Categorization and analysis. In F. Martinez-López (Ed.), Handbook of strategic e-business management (pp. 605–632). Springer. 
  • Strohmeier, S. (2014). Sustainable electronic human resource management — Why information technology matters in sustainable human resource management. In J. Zentes & C. Scholz (Eds.), Beyond sustainability (pp. 220–244). Nomos.
  • Strohmeier, S. (2015). Analysen der Human Resource Intelligence und Analytics. In S. Strohmeier & F. Piazza (Hrsg.), Human Resource Intelligence und Analytics (pp. 3–48). Springer Gabler.
  • Strohmeier, S. (2017). Big HR Data — Konzept zwischen Akzeptanz und Ablehnung. In W. Jochmann, I. Böckenholt, & S. Diestel (Hrsg.), HR-Exzellenz: Innovative Ansätze in Leadership und Transformation (pp. 339–355). Springer Gabler.
  • Strohmeier, S. (2020). Digitalisation technologies. In T. Bondarouk & S. Fisher (Eds.), Encyclopedia of electronic HRM (pp. 14–19). De Gruyter Oldenbourg.
  • Strohmeier, S. (2020). Algorithmic decision making in HRM. In T. Bondarouk & S. Fisher (Eds.), Encyclopedia of electronic HRM (pp. 54–60). De Gruyter Oldenbourg.
  • Strohmeier, S. (2020). Sustainable electronic HRM. In T. Bondarouk & S. Fisher (Eds.), Encyclopedia of electronic HRM (pp. 138–143). De Gruyter Oldenbourg.
  • Strohmeier, S. (2020). Big data in HRM. In T. Bondarouk & S. Fisher (Eds.), Encyclopedia of electronic HRM (pp. 259–264). De Gruyter Oldenbourg.
  • Strohmeier, S. (2022). Artifical Intelligence in human resources — an introduction. In S. Strohmeier (Ed.), Handbook of Research on Artificial Intelligence in Human Resource Management (pp. 1–22). Edward Elgar Publishing.
  • Strohmeier, S. (2022). HR machine learning — an introduction. In S. Strohmeier (Ed.), Handbook of Research on Artificial Intelligence in Human Resource Management (pp. 25–45). Edward Elgar Publishing.
  • Strohmeier, S., & Piazza, F. (2011). Web mining as a novel approach in e-HRM research. In T. Bondarouk, H. J. M. Ruël, & J. C. Looise (Eds.), Electronic HRM in theory and practice (Advanced series in management (Vol. VIII, pp. 41–53). Emerald Group Publishing Limited.
  • Strohmeier, S., & Piazza, F. (2015). Prozesse der Human Resource Intelligence und Analytics. In S. Strohmeir & F. Piazza (Hrsg.), Human Resource Intelligence und Analytics (pp. 49–88). Springer Gabler.
  • Strohmeier, S., & Piazza, F. (2015). Artificial intelligence techniques in human resource management — A conceptual exploration. In C. Kahraman & S. Ç. Onar (Eds.), Intelligent techniques in engineering management (pp. 149–172). Springer International Publishing. https://doi.org/10.1007/978-3-319-17906-3_7
  • Strohmeier, S., Piazza, F., & Neu, C. (2015). Trends der Human Resource Intelligence und Analytics. In S. Strohmeier & F. Piazza (Hrsg.), Human Resource Intelligence und Analytics (pp. 339–368). Springer Gabler.

Zeitschriftenbeiträge (begutachtet)

  • Böhm, S., Jäger, W., & Niklas, S. (2011). Mobile Applikationen im Recruiting und Personalmarketing. Wirtschaftsinformatik und Management, 04, 14–23. https://doi.org/10.1365/s35764-011-0054-1
  • Diederichsen, A. (2008). Let’s do HR-IT! A vision at Henkel AG & Co. KGaA. Case (ECCH Reference No. 309-155-1).
  • Diederichsen, A. (2008). Let’s do HR-IT! A vision at Henkel AG & Co. KGaA. Teaching Note (ECCH Reference No. 309-155-8).
  • Loos, P., Strohmeier, S., Piller, G., & Schütte, R. (2012). Comments on “in-memory databases in business information systems". Business & Information Systems Engineering, 4(4), 213–223. https://doi.org/10.1007/s11576-012-0328-0
  • Müller, D., & Strohmeier, S. (2010). Design characteristics of virtual learning environments: An expert study. International Journal of Training and Development, 14(3), 209–222. https://doi.org/10.1111/j.1468-2419.2010.00353.x
  • Mueller, D., & Strohmeier, S. (2011). Design characteristics of virtual learning environments: State of research. Computers & Education, 57(4), 2505–2516. https://doi.org/10.1016/j.compedu.2011.06.017
  • Müller, D., & Zimmermann, V. (2009). A learner-centered design, implementation, and evaluation approach of learning environments to foster acceptance. International Journal of Advanced Corporate Learning, 2(3), 50–57.
  • Niklas, S. J., & Böhm, S. (2011). Applying mobile technologies for personnel recruiting — An analysis of user-sided acceptance factors. International Journal of eBusiness and eGovernment Studies, 3(1), 169–178.
  • Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human Resource Management Review, 17(1), 19–37. https://doi.org/10.1016/j.hrmr.2006.11.002
  • Strohmeier, S. (2009). Concepts of e-HRM consequences: A categorization, review and suggestion. International Journal of Human Resource Management, 20(3), 528–543. https://doi.org/10.1080/09585190802707292
  • Strohmeier, S. (2010). Electronic portfolios in recruiting? A conceptual analysis of usage. Journal of Electronic Commerce Research, 11(4), 268–280.
  • Strohmeier, S. (2012). Assembling a big mosaic — A review of recent books on electronic human resource management (e-HRM). German Journal of Research in Human Resource Management, 26(3), 282–294.
  • Strohmeier, S. (2013). Employee relationship management — Realizing competitive advantage through information technology? Human Resource Management Review, 23(1), 93–104. https://doi.org/10.1016/j.hrmr.2012.06.009
  • Strohmeier, S. (2018). Smart HRM — A Delphi study on the application and consequences of the internet of things in human resource management. The International Journal of Human Resource Management. https://doi.org/10.1080/09585192.2018.1443963
  • Strohmeier, S. (2020). Digital human resource management: A conceptual clarification. German Journal of Human Resource Management. https://doi.org/10.1177/2397002220921131
  • Strohmeier, S., Collet, J., & Kabst, R. (2022). (How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis. Baltic Journal of Management, 17(3), 285–303. https://doi.org/10.1108/BJM-05-2021-0188
  • Strohmeier, S., & Groß, F. (2020). Designing an architecture description language for nontechnical actors and purposes (NOTE-ADL). Journal of Enterprise Information Management, 33(3), 482–501. https://doi.org/10.1108/JEIM-06-2018-0120
  • Strohmeier, S., & Kabst, R. (2009). Organizational adoption of e-HRM in Europe. An empirical exploration of adoption factors. Journal of Managerial Psychology, 24(6), 482–501. https://doi.org/10.1108/02683940910974099
  • Strohmeier, S., & Kabst, R. (2012). Evaluating major human resource information systems design characteristics — An empirical study. International Journal of Business Information Systems, 9(3), 328–342. https://doi.org/10.1504/IJBIS.2012.045721
  • Strohmeier, S., & Kabst, R. (2014). Configurations of e-HRM — An empirical exploration. Employee Relations, 36(4), 333–353. https://doi.org/10.1108/ER-07-2013-0082
  • Strohmeier, S., & Piazza, F. (2010). Informating HRM: A comparison of data querying and data mining. International Journal of Business Information Systems, 5(2), 186–197. https://doi.org/10.1504/IJBIS.2010.030629
  • Strohmeier, S., & Piazza, F. (2013). Domain driven data mining in human resource management: A review of current research. Expert Systems with Applications, 40(7), 2410–2420. https://doi.org/10.1016/j.eswa.2012.10.059
  • Strohmeier, S., Majstorovic, D., Piazza, F., & Theres, C. (2016). Smart HRM — das „Internet der Dinge“ im Personalmanagement. HMD Praxis der Wirtschaftsinformatik, 53(6), 838–850. https://doi.org/10.1365/s40702-016-0268-z
  • Strohmeier, S. & Röhrs, F. (2017). Conceptual modeling in human resource management: A design research approach. AIS Transactions on Human-Computer Interaction, 9(1), 34–58.

Konferenzbeiträge

  • Böhm, S., & Niklas, S. J. (2012, May 31–June 2). Mobile recruiting: Insights from a survey among German HR managers [Paper presentation]. SIGMIS-CPR '12: 2012 Computers and People Research Conference, Milwaukee, WI, USA. https://doi.org/10.1145/2214091.2214124
  • Diederichsen, A. (2010, May 20–21). Human resource management-relevant virtual community research: Review and outlook [Paper presentation]. 3rd European Academic Workshop on Electronic Human Resource Management, Bamberg, Germany. ceur-ws.org/Vol-570/paper013.pdf
  • Müller, D., Diederichsen, A., Gasper, C., & Strohmeier, S. (2011, September 20–23). A model for assessing the success of virtual talent communities [Paper presentation]. 6th European Conference of Technology Enhanced Learning, EC-TEL 2011, Palermo, Italy. https://doi.org/10.1007/978-3-642-23985-4_49
  • Müller, D., Law, L.-C. E., & Strohmeier, S. (2010, October 17). Analysis of the persuasiveness of user experience feedback on a virtual learning environment [Paper presentation]. International Workshop on the Interplay between User Experience and Software Development (I-UxSED 2010), Reykjavik, Iceland. Download
  • Müller, D., & Strohmeier, S. (2010, September 28–October 1). Developing and validating a rigorous and relevant model of VLE success: A learner perspective [Paper presentation]. 5th European Conference on Technology Enhanced Learning EC-TEL 2010, Barcelona, Spain. https://doi.org/10.1007/978-3-642-16020-2_17
  • Müller, D., Strohmeier, S., & Gasper, C. (2010, May 20–21). HRIS design characteristics: Towards a general research framework [Paper presentation]. 3rd European Academic Workshop on Electronic Human Resource Management, Bamberg, Germany. ceur-ws.org/Vol-570/paper015.pdf
  • Müller, D., & Diederichsen, A. (2011, June 9–11). Design characteristics of virtual talent communities: A cross-national, talent-focused, exploratory requirements analysis [Paper presentation]. 19th European Conference on Information Systems, Helsinki, Finland. 
  • Müller, D., Heintz, M., & Strohmeier, S. (2011, July 6–8). System- and information-related success drivers of virtual learning environments [Paper presentation]. ICALT 2011, 11th IEEE International Conference on Advanced Learning Technologies, Athens, GA, USA. https://www.doi.org/10.1109/ICALT.2011.150
  • Niklas, S. J. (2011, May). Mobile is success in personnel marketing: A consumer-based analysis of quality and perceived value [Paper presentation]. SIGMIS-CPR '11: 49th SIGMIS annual conference on computer personnel research, San Antonio, TX, USA. https://doi.org/10.1145/1982143.1982170
  • Niklas, S. J., & Böhm, S. (2011, November 20–25 ). Increasing usage intention of mobile information services via mobile tagging [Paper presentation]. 5th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Lisbon, Portugal.
  • Niklas, S. J., Böhm, S., & Strohmeier, S. (2011, June 20–21). Faulty results by neglecting mobile service usage context [Paper presentation]. ECRM 2011 — 10th European Conference on Research Methods for Business and Management Studies, Caen, France.
  • Niklas, S. J., Böhm, S., & Strohmeier, S. (2011, October 14–15). Information system success and individual usage intention of mobile innovations [Paper presentation]. ICSSS 2011 — 2011 International Conference on Social Sciences and Society, Shanghai, China.
  • Niklas, S. J., & Strohmeier, S. (2011, January 4–7). Exploring the impact of usefulness and enjoyment on mobile service acceptance: A comparative study [Paper presentation]. 44th Hawaii International Conference on System Sciences, Kauai, HI, USA. https://www.doi.org/10.1109/HICSS.2011.202
  • Niklas, S. J., Strohmeier, S., & Böhm, S. (2012, March). Mobile job board applications — Which are the key success factors? A literature review and conceptual framework [Paper presentation]. 4th international eHRM workshop: Innovation, Creativity and eHRM, Nottingham, UK.
  • Piazza, F., & Strohmeier, S. (2011, December 11–14). Domain-driven data mining in human resource management: A review [Paper presentation]. ICDM 2011 IEEE International Conference on Data Mining, Vancouver, Canada.
  • Piazza, F., & Röhrs, F. (2013, July 4–7). Bridging the gap between multidimensional business problem formulation and the implementation of multidimensional data models [Paper presentation]. 15th International Conference on Enterprise Information Systems, Angers, France. https://www.doi.org/10.5220/0004394700790087
  • Piazza, F., Röhrs, F., & Strohmeier, S. (2014, February 26–28). COMET: From HR management concepts to HR data warehouse implementation [Paper presentation]. MKWI 2014 Multikonferenz Wirtschaftsinformatik, Paderborn, Germany. https://digital.ub.uni-paderborn.de/hsx/content/titleinfo/1010308
  • Strohmeier, S. (2009, May 6–7). Convergence or divergence in global e-HRM? General foundations and basic propositions [Paper presentation]. 3rd International Workshop on Human Resource Information Systems, Milan, Italy. https://www.doi.org/10.5220/0002197801060119
  • Strohmeier, S. (2012, March 28–29). Design research in e-HRM: An outline, example and discussion [Paper presentation]. 4th International eHRM Conference: Innovation, Creativity and eHRM, Nottingham, UK.
  • Strohmeier, S., & Burgard, M. (2007, June 20–22). Business intelligence: Framework and state-of-the-art of empirical research [Paper presentation]. 8th International Business Information Management Association Conference 2007  Information Management in the Networked Economy: Issues & Solutions, Dublin, Ireland.
  • Strohmeier, S., Gasper, C., & Müller, D. (2011, October, 4–7). Entwicklung und Evaluation semantischer Jobportale — Ein "Design Science"-Ansatz [Paper presentation]. 41. Jahrestagung der Gesellschaft für Informatik e.V. (GI) Informatik schafft Communities, Berlin, Germany. https://subs.emis.de/LNI/Proceedings/Proceedings192/article64.html
  • Strohmeier, S., & Kabst, R. (2007, June 12–16). Do current HRIS meet the requirements of HRM? An empirical evaluation using logistic regression and neural network analysis [Paper presentation]. 1st International Workshop on Human Resource Information Systems, Funchal, Portugal. https://www.doi.org/10.5220/0002418500310044
  • Strohmeier, S., & Kabst, R. (2008, May). Adoption of e-HRM in Europe. An examination of economic and institutional determinants [Paper presentation]. 2nd European Academic Workshop on e-HRM, Marseille, France.
  • Strohmeier, S., & Piazza, F. (2008, June 12–16). Informating HRM through "data mining"? A conceptual evaluation [Paper presentation]. 2nd International Workshop on Human Resource Information Systems, Barcelona, Spain. https://www.doi.org/10.5220/0001735500510062

Arbeitspapiere

Buchveröffentlichungen

Strohmeier, S.: Informationssysteme im Personalmanagement
Verlag: Vieweg+Teubner
Ersch.-Jahr: 2008
Sprache: Deutsch
ISBN-13: 978-3834803108
https://doi.org/10.1007/978-3-8348-9475-5
Leseprobe

 

Theres, C.: Antecedents and Consequences of Digital Human Resource Management.
Verlag: Springer Gabler
Ersch.-Jahr: 2021
Sprache: Englisch
ISBN-13: 978-3658351151
Leseprobe

 

Müller, D.: Design Characteristics of Virtual Learning Environments
Verlag: Springer Gabler
Ersch.-Jahr: 2013
Sprache: Englisch
ISBN-13: 978-3658003913
https://doi.org/10.1007/978-3-658-00392-0
Leseprobe

 

Piazza, F.: Data Mining im Personalmanagement
Verlag: Gabler
Ersch.-Jahr: 2010
Sprache: Deutsch
ISBN-13: 978-3834922205
https://doi.org/10.1007/978-3-8349-8648-1
Leseprobe

 

Strohmeier, S., & Piazza, F. (Hrsg.): Human Resource Intelligence und Analytics
Verlag: Springer Gabler
Ersch.-Jahr: 2015
Sprache: Deutsch
ISBN-13: 978-3658035952
https://doi.org/10.1007/978-3-658-03596-9
Leseprobe

 

Niklas, S.: Akzeptanz und Nutzung mobiler Applikationen
Verlag: Springer Fachmedien Wiesbaden
Ersch.-Jahr: 2015
Sprache: Deutsch
ISBN-13: 978-3658082635
https://doi.org/10.1007/978-3-658-08263-5
Leseprobe

 

Diederichsen, A.: VC HR – Eine transaktionskostentheoretische Diskussion personalwirtschaftlich relevanter Virtual Communities
Verlag: universaar
Ersch.-Jahr: 2011
Sprache: Deutsch
ISBN-10: 3862230244
ISBN-13: 978-3862230242
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