VHB ProDok: Applied Regression Analysis (12-15 May 2020)

This course will provide participants who have basic skills in statistics and econometrics with an introduction to current core methods used in the analysis of observational, experimental and quasi-experimental data. The methods covered are widely used in economics and increasingly also required for good publications in top management journals.

The aim is to cover theory and selected applications, but more importantly to introduce participants to the use of statistical software that will allow them to apply the methods discussed in the course to data.

This course covers important methods used in the multivariate analysis of data. The course revisits basic concepts of the linear regression model and its properties and covers selected advanced topics such as the analysis of duration data and (quasi) experimental designs as well as methods to deal with the problems of endogeneity and sample selection. The theoretical basis of these methods is discussed but the focus of the course is on the application of the methods to data sets. Applications will be studied with the help of data provided by the lecturers and with reference to recent publications.

After the course, participants will…

  • have a basic understanding of the theoretical underpinnings of multiple regression models.
  • be able to apply regression methods to the investigation of economic relationships and processes.
  • understand the econometric methods, approaches, ideas, results and conclusions met in the majority of economic books and articles.
  • be aware of common pitfalls and mistakes to avoid when conducting regression analysis.
  • be able to use the software program STATA to carry out empirical analysis based on regression analysis.

Date: May 12 – 15, 2020

Location:
ESMT European School of Management and Technology
Room: tbd.
Schlossplatz 1
10178 Berlin
https://www.esmt.org/school-networks/about-esmt/campus/esmt-campus-berlin

Language: English

Lecturers:
Prof. Georg von Graevenitz, Ph.D., Faculty
Queen Mary University of London
http://competitionpolicy.ac.uk/people/faculty/georg-von-graevenitz

Prof. Dr. Stefan Wagner, Faculty
ESMT European School of Management and Technology, Berlin
http://www.esmt.org/eng/faculty-research/stefan-wagner/
stefan.wagner@esmt.org

Registration: Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org. Registration Deadline: 12. April 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2005mue02.

VHB ProDok: Approximate Dynamic Programming for Stochastic and Dynamic Decision Problems (23-26 March 2020)

The 4-day course deals with anticipatory methods for dynamic decision making. It will address the following questions:

  • What are the components of dynamic decision processes and how do they interact?
  • How can dynamic decision processes be modeled mathematically?
  • What methods exist in approximate dynamic programming?
  • How can they be applied to different types of problems?

In this course, we describe the process to approach complex stochastic and dynamic decision problems with advanced ADP-methods. We present the required steps from business problem over MDP to the ADP-solutions in detail and give an overview over the most prominent ADP-methods. We especially focus on offline learning methods known as value function approximations. The theoretical content of this course is accompanied by many illustrative examples from the field of logistics and by a serious gaming application.

Date: March 23 – 26, 2020

Location: Technical University of Braunschweig

Lecturers:
Prof. Dr. Dirk C. Mattfeld
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/mattfeld

Jun.-Prof. Dr. Marlin Ulmer
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/ulmer

Registration: Click for information on fees, payment and registration, or email us: prodok@vhbonline.org. Registration Deadline: 23. February 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003or01.

VHB ProDok: Theoretical Perspectives on Corporate Social Responsibility (CSR) (30. März – 2. April 2020)

Inhalt und Ziele:

Inhalt des 4-tägigen Workshops sind die Diskussion und das Entwickeln eines gemeinsamen Verständnisses über grundlegende theoretische Ansätze in der CSR-Forschung. Dies soll helfen, den Teilnehmern nicht nur ein fundiertes Verständnis der Forschung zu vermitteln, sondern auch, den State-of-the-Art der Literatur und aufkommende „hot topics“ mit relevanten Forschungsfragen zu verknüpfen. Der Workshop beinhaltet thematische Diskussionen zu verschiedenen Themenfeldern sowie themenübergreifende Inputs durch die Workshopleiter/in z.B. zum Publikationsprozess in der CSR Forschung, Karriereplanung, sowie Einbeziehung von Praktikern in die Forschung.

Der ProDok-Kurs CSR wendet sich in erster Linie an NachwuchswissenschaftlerInnen der Betriebswirtschaftslehre, die in ihrer Forschung einen Schwerpunkt auf die Bereiche CSR, unternehmerische Nachhaltigkeit sowie das grundlegende Verhältnis von Wirtschaft und Gesellschaft setzen.

Datum:
30. März – 02. April 2020

Ort:
Mannheim
Raum SO 104

Referent*innen:
Prof. Dr. Laura-Marie Edinger-Schons
Universität Mannheim
https://www.bwl.uni-mannheim.de/schons/

Associate Prof. Dr. Christopher Wickert
Vrije Universiteit Amsterdam
https://research.vu.nl/en/persons/christopher-wickert

Anmeldung: Um einen Überblick über die Höhe der Teilnahmegebühr zu erhalten und um sich anzumelden, nutzen Sie bitte diesen Link: Anmeldung  Sie können außerdem eine Email prodok@vhbonline.org senden.
Anmeldefrist: 1. März 2020

Weitere Informationen

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003mg01.

VHB ProDok: Qualitative Research Methods (10 – 13 March 2020)

This course is designed for doctorate students in business administration who want to use qualitative methods in their research. The basic goal of this course is to provide participants with the methodological foundations and advanced knowledge in qualitative research in business. After attending the course, participants should be able to

  • understand the philosophical and methodological foundations of qualitative research and to classify, differentiate and choose different qualitative research methods;
  • assess goals and purposes, as well as strengths and weaknesses of qualitative research;
  • understand and raise key questions for planning and preparing a qualitative research design, data collection and analysis;
  • identify, analyze and manage core issues during the planning, execution, analysis and writing of qualitative studies;
  • to differentiate rigorous from non-rigorous qualitative management research.

Date:
10. – 13. March 2020

Location:
Harnack-Haus
Ihnestraße 16-20
14195 Berlin

Course Language: German / English

Lecturers:
Prof. Dr. Jana Costas
Europa-Universität Viadrina Frankfurt (Oder)

Prof. Dr. Markus Reihlen
Leuphana Universität Lüneburg

Registration:
Click for information on fees, payment and registration, or email us: prodok@vhbonline.org.
Registration deadline: 10 Feburary 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003mue01.

REMINDER: MREV – Call for Papers: Employee Voice and the Digitalization of Work

Guest Editors:
Simon Fietze, University of Southern Denmark
Sylvia Rohlfer, Colegio Universitario de Estudios Financieros (CUNEF), Spain
Wenzel Matiaske, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, Germany

Seminar at the IUC Dubrovnik (April 20-24, 2020) & Special Issue

Over the past four decades, scholars from employment relations, human resource management, organizational behaviour and labour economics have published a vast body of literature concerning employee voice (Wilkinson & Fay, 2011). Employee voice is thereby understood as the opportunity to participate in organizational decision-making and to have a say to influence the own work and the interests of managers and owners (Barry &Wilkinson, 2016) or – in the case of employee silence – to withhold these views and concerns (Morrison & Milliken, 2003). Employee voice and silence have been linked to organizational performance and the development of competitive advantage (Barry & Wilkinson, 2016) and are a key ingredient for the positive relationship between strategic human resource management and organizational performance (Wood & Wall, 2007) which also implies a link between employee voice and innovation. Employees with the opportunity to communicate individual ideas to management and to participate in decision-making give them the possibility to express ‘creative ideas and new perspectives, increasing the likelihood of innovation’ (Grant, 2013, p. 1703; Zhou & George, 2001).

Recently, scholars are paying more attention to current topics and relate them to employee voice. One stream of research is addressing the advancing technologies and consider the digital revolution and its impact on employee voice. There is no doubt that digital technology is fundamentality changing the way we do business (Mennie, 2015) and in consequence forms, tools and channels ‘voice’. The few studies on employee voice and digitalization are mainly dealing with social media at work and its opportunities for management to get in dialogue with employees. Holland, Cooper, and Hecker (2019), for instance, discuss conceptually issues and opportunities social media provides in the development of employee voice. In a similar vein, Barnes, Balnave, Thornthwaite, and Manning (2019) show how a union’s use of social media might facilitate greater member participation and engagement. However, more empirical evidence and conceptual considerations are needed to better understand and explain digitalization and employee voice (or: ‘e-voice’).

Therefore, the purpose of this seminar and the aim of the special issue of management revue – Socio-Economic Studies is to focus on digitalization at work and its challenges and opportunities for employee voice and silence in cross-disciplinary discussions. Some context to discuss are listed below:

  • To what extent do technologies impact employee voice and silence?
  • To what extent do employees make use of technology to ‘raise their voice’?
  • What role do trade unions play when it comes to electronic (e.g., social media) employee voice?
  • What is the impact of electronic (e.g., social media) voice on traditional mechanisms of employee voice?
  • What is the effectiveness of electronic (e.g., social media) voice? How does it compare to the outcomes of traditional mechanisms?
  • Why do electronic (e.g., social media) employee voice systems fail?
  • What is the ‘dark side’ of electronic (e.g., social media) employee voice/silence?

Deadline
Potential contributors to the seminar at the IUC Dubrovnik are encouraged to submit an abstract of five pages before January 31st, 2020 electronically via the online submission system of management revue – Socio-Economic Studies using ‘IUC Dubrovnik’ as article section: http://www.mrev.nomos.de/guidelines/submit-manuscript/

Special Issue
All contributors to the seminar are invited to submit their paper for the special issue of management revue – Socio-Economic Studies. Full papers for this special issue of management revue – Socio-Economic Studies must be submitted by August 30th, 2020. All contributions will be subject to double-blind review. Papers invited to a ‘revise and resubmit’ are due February 28th, 2021. The publication is scheduled for issue 1/2022. Please submit your papers electronically via the online submission system at http://www.mrev.nomos.de/ using ‘SI Employee Voice’ as article section.

Submission Guidelines
Manuscript length should not exceed 8,000 words (excluding references) and the norm should be 30 pages in double-spaced type with margins of about 3 cm (1 inch) on each side of the page. Further, please follow the guidelines on the journal’s website (http://www.mrev.nomos.de/guidelines/).

Hoping to hear from you!
Simon Fietze
Sylvia Rohlfer
Wenzel Matiaske

References
Barnes, A., Balnave, N., Thornthwaite, L., & Manning, B. (2019). Social media: Union communication and member voice. In P. Holland, J. Teicher, & J. Donaghey (Eds.), Employee voice at work (pp. 91–111). https://doi.org/10.1007/978-981-13-2820-6_5
Barry, M., & Wilkinson, A. (2016). Pro-social or pro-management? A critique of the conception of employee voice as a pro-social behaviour within organizational behaviour. British Journal of Industrial Relations, 54(2), 261–284. https://doi.org/10.1111/bjir.12114
Grant, A. M. (2013). Rocking the boat but keeping it steady: The role of emotion regulation in employee voice. Academy of Management Journal, 56(6), 1703–1723. https://doi.org/10.5465/amj.2011.0035
Holland, P., Cooper, B., & Hecker, R. (2019). Social media at work: A new form of employee voice? In P. Holland, J. Teicher, & J. Donaghey (Eds.), Employee voice at work (pp. 73–89). https://doi.org/10.1007/978-981-13-2820-6_4
Mennie, P. (2015). Social media risk and governance: Managing enterprise risk. London: Kogan Page.
Morrison, E. W., & Milliken, F. J. (2000). Organizational silence: A barrier to change and development in a pluralistic world. Academy of Management Review, 25(4), 706–725. https://doi.org/10.2307/259200
Wilkinson, A., & Fay, C. (2011). New times for employee voice? Human Resource Management, 50(1), 65–74. https://doi.org/10.1002/hrm.20411
Wood, S. J., & Wall, T. D. (2007). Work enrichment and employee voice in human resource management-performance studies. The International Journal of Human Resource Management, 18(7), 1335–1372. https://doi.org/10.1080/09585190701394150
Zhou, J., & George, J. M. (2001). When job dissatisfaction leads to creativity: Encouraging the expression of voice. Academy of Management Journal, 44(4), 682–696. https://doi.org/10.5465/3069410

REMINDER: MREV – Call for Papers: Good Work: Eroding and New Standards in a Changing World

Guest Editors:
Sven Hauff, Helmut Schmidt University Hamburg
Daniela Rastetter, University of Hamburg

Special Issue
The changing context of work – e.g. though globalisation, intensification of competition, deregulation, growth in employment flexibility, technological changes, digitalization – increasingly triggers debates about the quality of working life and concerns about the well-being of employees. Observations of precarious forms of employment or increasing demands and intensification of work thereby often elicit nostalgic memories of the apparently ‘good old days’ where work was characterized by full-time employment, an adequate income, a permanent contract, and social insurance. However, these ‘old’ standards of ‘good work’ did not apply to all employees and even in the ‘good old days’, work was often characterized by strict hierarchy and low influence, where employees’ interests were largely neglected. Here, modern forms of employment could lead to improvements by providing, for example, more autonomy, involvement, flexible working hours, a better work life balance, and inclusion.

The question of how to evaluate the changes in the world of work is not easy and there are manifold perspectives how to define the standards of ‘good work’. One perspective could be to identify the work and employment conditions that are actually increasing or threatening employee well-being. A particular challenge here is to consider the different dimensions of employee well-being, which includes aspects like physical and mental health, satisfaction, engagement or fairness. Another perspective could be to confront the new developments to the aspirations and values of employees. The latter are also changing since new generations enter the labour market, since women increasingly participate in the labour force, or because migration movements lead to an increasing diversity. Finally, one could contrast the changes with the current regulations in labour and social law concerning employee protection rights, working time and wage standards, social security, and representation of employees’ interests.

In this Special Issue we want to bring together research that addresses the issue of eroding and new standards of ‘good work’ and we encourage researchers to share their thoughts with us. Contributions should address one or more of the following questions:

  • Which standards of good work erode or fade, evolve or change?
  • What are the driving forces behind these changing standards?
  • What influence do digitalisation and globalisation have on the standards of good work?
  • What standards of work are emerging in new forms of organisation such as crowd work platforms?
  • How do individual standards of good work – such as working hours, wages, health and safety, co-determination, trade union representation, or equal opportunities – develop?
  • How can new forms of HRM or business strategies like diversity management support standards of good work?
  • What effects do this change in the standards of good work have on workers and their ability to work and perform?
  • Are standards of good work developing in new fields, for example on the question of religious practice, spirituality and the search for meaning in the workplace?
  • What are the effects for companies and businesses? Which strategies do companies and businesses choose when dealing with new standards, or which strategies lead to new standards?

Deadline
Full papers for this special issue of management revue – Socio-Economic Studies must be submitted by December 30, 2019. All contributions will be subject to double-blind review. Papers invited to a “revise and resubmit” are due June 31, 2020. The publication is scheduled for issue 2/2021. Please submit your papers electronically via the online submission system at http://www.mrev.nomos.de/ using “SI Standards of Good Work” as article section.

Submission Guidelines
Manuscript length should not exceed 8,000 words (excluding references) and the norm should be 30 pages in double-spaced type with margins of about 3 cm (1 inch) on each side of the page. Further, please follow the guidelines on the journal’s website (http://www.mrev.nomos.de/guidelines/).

Hoping to hear from you!
Sven Hauff
Daniela Rastetter

Uni Bremen: Doctoral Workshop – Digitalization in Logistics on February 10 – 11, 2020

We are happy to invite PhD students and doctoral candidates to our Doctoral Workshop “Digitalization in Logistics” in Bremen. The workshop is organized by the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) and will be held on February 10 – 11, 2020 at the University of Bremen. It is a satellite event in cooperation with the 7th International Conference on Dynamics in Logistics (LDIC 2020). The goal of the Doctoral Workshop is to forge a seed of young researchers from different disciplines, who share the interest in mechanisms for coordination of logistics processes as well as in the cooperation and competitiveness in supply chains.

The courses of the workshop include among others the following topics:

  • Global Supply Chains and logistics management
  • Good logistics research & design science research
  • Digitalization and its impacts on transportation and mobility
  • Logistics optimization problems

The students will utilize this knowledge within their own projects to:

  • classify their research project in the topic landscape of the workshops
  • sharpen the understanding of the working principles and realize the interdependencies between different levels and components of the systems
  • work on concrete industrial case studies to explore evaluation possibilities

All researchers who work on projects or theses at the interface of logistics, computer science, industrial engineering or related fields are welcome to send their application. Successful participants will receive a certificate at the end of program.

Please submit your application, including CV and a short description of your project or thesis by January 5, 2020, via e-mail at info@logdynamics.de.

For a detailed program and other important dates, please see the flyer or visit the website www.doctoral-workshop.logdynamics.de.

Uni Hamburg: PhD Course Advanced Modelling and Optimization

Course Instructor: Prof. Fliedner/Prof. Haase

Course Value: 2 SWS or 5 LP

Teaching language: English

Registration: via Email to  ana-jelena.peric@uni-hamburg.de

Course Objectives:

This course builds up on the fundamentals of linear and combinatorial optimization and equips students with a set of advanced modeling tools to solve optimization models from different fields of application. Students learn to formulate optimization models as   mixed- integer linear programs, how to solve them with standard software and how to construct heuristic solution algorithms. Successful participants will be able to deal with the  complexity of real-world decision problems via aggregation, relaxation, and decomposition techniques. This course is aimed at Ph.D. students in information systems, business administration, and computer science. Participants are expected to have a solid understanding of the basics of modeling and optimization and will be provided with an advanced understanding of algebraic optimization models and solution  methods

Student evaluation:

Successful completion of work assignments

Uni Hamburg: PhD Course Survey Research

Dates & Time:
Kick-Off: November 18, 2019; 6 pm
Seminar: February 10 – 12, 2020; full time (tba)
Exam: February 17, 2020; 9 am

Location:     
Universität Hamburg, Moorweidenstr. 18, room 0005.1 (for 18 Nov 2019, 10 – 12 Feb 2020); room for exam tba

Instructor:
Prof. Dr. Karen Gedenk

Teaching Language:
English

Credit Points: 
2 SWS/5 LP

Registration: 
until November 11, 2019. Please send an e-mail to Elke Thoma (elke.thoma@uni-hamburg.de) which  informs about:

  • your name
  • your email address
  • the supervisor of your doctoral thesis and topic
  • your background in statistics and empirical research.

Objectives:

This course is designed to lay the foundations of good survey-based research in different areas of Business Administration. Through a critical review of existing literature, presen- tations and discussions, students become acquainted with common problems in survey- based research and advanced methods for solving them. Students get an overview of dif- ferent methods in the survey research “tool box”. This helps them identify appropriate methods for their own research and evaluate research done by others.

Prerequisites:

Students should have a solid foundation in statistics and be familiar with the basics of multivariate data analysis.

Student Evaluation:

To pass the course, participants are required to make a successful presentation. In addi- tion, they need to read one paper on each topic, participate in class discussions, and pass the exam.

Contents & Working Requirements:

Exemplary topics are preference measurement, measurement models for complex con- structs, structural equation models, moderation and mediation, multicollinearity, heter- ogeneity, endogeneity, common method bias. A list of topics and readings will be pro- vided at the kick-off meeting.

Participants prepare and hold a presentation – either alone or in a group (depending on the number of participants). In their presentation, participants explain, compare and evaluate methods relevant for their specific problem. All presentations should contain a practical example based either on an own dataset or on published research. Participants also take an exam at the end of the course.

Coordination/Contact

Prof. Dr. Karen Gedenk (karen.gedenk@uni-hamburg.de).

For all organiziational issues please contact Elke Thoma  (elke.thoma@uni-hamburg.de).

 

Uni Hamburg: PhD Course Behavioral & Experimental Economics

Dates: The course takes place on four days. Sessions are scheduled in both the winter term and the summer term, such that participants have sufficient time to develop and run their experiments:

November 22nd, 2019; November 27th, 2019; March 27th, 2020.

The last session will take place either in May or June 2020, and will be scheduled in the second meeting.

Time 10am—4pm
Place Universität Hamburg (more details follow)
Instructor Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)
Teaching language English
Credit Points 2 SWS/5 LP
Registration kathrin.marina.heim@uni-hamburg.de

(first come, first-served)

Objectives:

The main goal of this course is to introduce the design and implementation of both laboratory and field experiments in various fields of Economics and Business Administration. PhD students who have some experience with or who consider to set up an experiment are welcome to par- ticipate in this course.

First, we will identify different research questions for a laboratory or a field experiment. We start with discussing critical theory assumptions. We then show how research hypotheses can be inferred from behavioral models and how these hypotheses may be tested in lab or field studies.

Second, participants will present and discuss an experimental paper (either provided by us or self-selected) that is instructive for their own research field.

Third, participants will develop an experimental design and conduct a pilot experiment that is run in class. We introduce basic statistics along with a discussion how they relate to the exper- imental design. Alternatively, for participants who do not plan to conduct their own experi- ments, a second paper will be reviewed.

Participants have the option to take a research ethics training (https://about.citipro- gram.org/en/homepage/) that becomes increasingly important to conduct research projects with colleagues from the Unites States and in the European Union. All students will learn the basic requirements of a human subjects committee.


Some topics:

  • Identify a suitable research question for an experiment
  • Ethical and scientific standards: historical and scientific reasons, consent requirements, hu- man subjects committee, special requirements (children, elderly people, inmates, …), data collection and evaluation
  • Individual and group experiments in the laboratory
  • Surveys and internet experiments
  • Field experiments in cooperation with a company


Prerequisites:

Basic background in microeconomics, game theory and statistics.

Student evaluation:

  • Presentation and critical discussion of one or two experimental papers,
  • Optional but encouraged: experiment design presentation (extended summary on eco- nomic question, relevant literature, hypotheses, design: presentation with 10 slides or max. five pages extended abstract); running a pilot experiment

 

Schedule (tentative) 

Day Topics Suggested Readings
1st Session Introduction to the field

Game theoretic models, critical as- sumptions, Behavioral Models and Research Hypothesis

Laboratory Experiments

Katok (2018)
2nd Session Presentation and discussion of as- signed papers.

Statistics & Design Choices IRB, Field-Experiments

Hyndman, K. and Embrey, M. (2018)
3rd Session Presentation of research (Problem De- scription, Research Hypothesis, Exper- imental design)

Visit of WiSo-Experimentallabor (z- Tree, Eye-Tracking, etc.)

4th Session Presentation of pilot studies (Note: Pilot studies need to be scheduled in- dependently by participants)

Suggested readings before the course:

Katok, E. (2018) Designing and Conducting Laboratory Experiments, pages: 1-33 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

Hyndman, K. and Embrey, M. (2018) Econometrics for Experiments, pages: 35-88 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)

 

Other useful resources:

Baum, C. F. (2006) An introduction to modern econometrics using Stata. Stata press Camerer, C (2003) Behavioral Game Theory, Princeton University Press.

Holt, C. (2019), Markets, Games, and Strategic Behavior: A First Course in Experimental Economics, 2nd edition, Princeton Universtity Press

Kagel, J. and A. Roth (1995) Handbook of Experimental Economics, Princeton University Press.

Sheskin, D. J. (2011) Handbook of parametric and nonparametric statistical procedures. 5. ed. CRC Press.

Other material (e.g., papers to be presented etc.) will be distributed once we know who participates.