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EDEN Doctoral Seminar on Conceptual Paper Development and Theory Building in Management and Organization Studies (Brussels, June 26-30, 2017)

Programme Coordinator & Faculty:
Sascha Albers, Professor of International Management, Dept. of Management, University of Antwerp, Belgium (Programme Coordinator)
Jenny Gibb, Senior Lecturer, Dept. of Strategy and HRM, University of Waikato, New Zealand

Purpose & Content:
All research is based on theory, but not all theory is based on research. If this claim is true, it is essential for every scholar to understand what theory is, what theory is not, which types of theory there are, how to skillfully apply, extend, build on and connect extant theories and even, how to develop new theory. Every PhD student will attempt to develop theory in at least one of the aforementioned ways.

The key purpose of this course is to increase participant understanding of how to identify and read theories, as well as to apply theory building techniques in management. We purposely aim to provide a broad range of understanding of theory in this course for two key reasons. First, it is important to be able to identify and understand a range of different theory types. Second, it is critical that participants are able to differentiate theory proper, from proximate constructs such as models and frameworks, which themselves may constitute important, valuable and significant conceptual contributions.

Hence, the theme and rationale for calling this course: Conceptual paper development and theory development. Theory papers are sometimes called the most difficult and the most prestigious art of scholarly paper writing. In this course, we will examine why this is the case and work to systematically build understanding on how to develop theory and conceptual contributions. In working on theory and conceptual paper development we intend to deepen participants’ appreciation of theory building and to assist them to craft potentially valuable and effective research papers.

This course will also encourage participants to improve their analytical abilities to critically evaluate contemporary management research.

Further Information and Application

TU Darmstadt: Career Bridging Grants

Are you a PhD student or a postdoc planning your next career step? You would like to apply for external funding to finance your own position but need to financially bridge the time up to the potential funding start?

The Career Bridging Grant closes financial gaps between two career steps for candidates currently working at or aiming to work at TU Darmstadt. It provides short-term financial support for highly qualified candidates, who apply for funding with good prospects of success. The Career Bridging Grant secures financial support during the application process and thus facilitates a smooth transition to the next career step.

Application deadline: April 15, 2017

Find out more at: www.tu-darmstadt.de/postdocs

Research Assistant (PhD candidate) (m/f)

The Professorship of Economics (Prof. Dr. Jutta Günther) in the Faculty of Business Studies and Economics at the University of Bremen invites candidates to apply for the fixed-term position of a

Research Assistant (PhD candidate)
– salary 13 TV-L (50% part time) –

The working group at the Professorship of Economics specialises in the field of innovation and structural change. It deals with empirical innovation research with a focus on questions of system transformation, internationalisation of research and innovation as well as technology and innovation policy. See: http://guenther.iino.uni-bremen.de/en/

We offer…

  • an employment contract for 3 years
  • scope for independent research for a doctoral degree (normally a cumulative dissertation)
  • a comprehensive data infrastructure for independent research and technical support in data related work
  • integration into an international, agile working group of currently about 10 persons
  • participation in the international research network of the working group
  • chance for further training in the field of quantitative research methods, soft skills etc.
  • possibility for a research visit abroad within the dissertation project
  • participation in doctoral courses, scientific workshops, and international conferences

We expect…

  • a university degree at master level (normally 300 credit points) in economics, business administration or a related subject
  • basic knowledge in quantitative empirical methods, esp. econometrics
  • if possible first experience in empirical economic research
  • assistance in academic teaching (max. 2 SWS), e.g. exercise sessions, supervision of students
  • contribution to research projects of the working group
  • support of the internationalisation activities of the working group and the faculty
  • good English and at least basic German, team orientation, and scientific curiosity
  • As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In the case of equal qualification, disabled persons will be given priority. International applications, as well as applications of academics with a migration background, are explicitly welcome.

The employment is fixed-term and governed by the Act of Academic Fixed-Term Contract, §2 I (Wissenschaftszeitvertragsgesetz – WissZeitVG). Therefore, candidates may only be considered for appointment if they still have the respective qualification periods available in accordance with § 2 (1) WissZeitVG.

Please send your application (one pdf file) with all necessary information (CV, certificates etc.) and a version of your final thesis or a selected term paper until March 12, 2017 indicating the position number A244/16 to: University of Bremen, Faculty of Business Studies and Economics, Prof. Dr. Jutta Günther, Professorship of Economics, Innovation and Structural Economics, Hochschulring 4, 28359 Bremen, Germany or

Please send your application (one pdf file) with all necessary information (CV, certificates etc.) and a version of your final thesis or a selected term paper until March 12, 2017 indicating the position number A244/16 to: University of Bremen, Faculty of Business Studies and Economics, Prof. Dr. Jutta Günther, Professorship of Economics, Innovation and Structural Economics, Hochschulring 4, 28359 Bremen, Germany or office-guenther@uni-bremen.de

In case you have any questions, please contact Dr. Muhamed Kudic: E-Mail: kudic@uni-bremen.de

Invitation to 6 Doctoral Scholarships with a maximum duration of 3 years, beginning 1 October 2017

The Institute for Employment Research (IAB) and the School of Business and Economics of the
University of Erlangen-Nuremberg (FAU) offer a joint doctoral programme in labour market
research (GradAB), which prepares graduates for a career in academics and in policy consulting.
IAB and FAU jointly constitute one of the most important hubs for labour market research in
Germany and provide optimal conditions for more than 200 labour market researchers from
different disciplines to conduct high-quality academic research.

  • The Graduate Center GradAB offers a three-year programme of high-level training in
    labour market research, which can be extended for another year under certain conditions.
  • Doctoral students benefit from a professional research and policy-consulting environment
    in one of the key institutions advising high-ranking social policymakers.
  • The course programme provides training on labour market research, methods, and data at an advanced level and is held in English.
  • The GradAB works closely together with its partners from a large network of renowned
    national and international universities, research and policy institutions.
  • The scholarship offers financial support of 1,350€ / month. In addition, funding is
    available for participation in scientific conferences and further training.
  • Scholarship holders are granted access to the IAB’s unique data resources on employment
    and social security (administrative and survey data).

We invite applications from outstanding graduates in the fields of economics, sociology or other social sciences who hold a master’s degree or diploma and have a strong interest in labour market research.

For further information on the programme, admission requirements, and the application process, please see our website www.iab.de/en/gradab.

Please submit your application in English by 31 March 2017 to:
Dr Sandra Huber
E-mail: sandra.huber@iab.de

Experimental Economics

Institution: Universität Hamburg, Fakultät für Betriebswirtschaft

Course instructor: : Prof. Dr. Markus Nöth (Universität Hamburg)

Date: block course:

April 7 th, 2017: 8:15am-5:00pm (10*45min)
May 5th, 2017: 8:15am-1:00pm (6*45min)
June 2nd, 2017: 8:15am-5:00pm (10*45min)
June 21st, 2017: 6:00pm-7:30pm (2*45min)

Room: tbd (Moorweidenstraße 18, Von-Melle-Park 5 (ExpLab))

Course Value: 2 SWS or 4 LP

Teaching language: English

Registration: Send an email to markus.noeth@uni-hamburg.de until March 17th, 2017; please indicate if you prefer some specific topics to be covered.

Course Overview:
The main goal of this course is to give an introduction to 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 participate in this course. First, we will identify different research questions for a laboratory or a field experiment. Second, based on a literature review (for some research fields that are proposed by the participants) an experimental design is developed and a pilot experiment will be set up and run in class. As part of this exercise, students will learn the basic requirements of a human subjects committee.

Topics:

  • Identify a suitable research question for an experiment
  • Ethical and scientific standards: historical and scientific reasons, consent requirements, human 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

General literature:

  • Kagel, John H., and Alvin E. Roth, 1995, The Handbook of Experimental Economics, Princeton University Press, Princeton/Oxford
  • Gerber, Alan S., and Donald P. Green, 2012, Field Experiments, W.W. Norton & Company, London/New York.
  • Kagel, John H., and Alvin E. Roth, 2015, The Handbook of Experimental Economics Volume 2, Princeton University Press, Princeton/Oxford

Assessment:

  • Paper presentation (May 5th)
  • experiment design presentation (extended summary on economic question, relevant literature, hypotheses, design: presentation with max. 10 slides or max. five pages extended abstract)
  • running a pilot experiment is optional

Arbeitsbedingungen deutscher Promovierender (Working conditions of German Ph.D. students)

Dear fellow doctoral students/candidates,

We, that is Iris Koch and Paul Goldmann, examine as part of our doctoral studies how the university environment affects us doctoral candidates. It would be great if you support our studies by taking part in a 4-waves longitudinal study! This will take approximately 10-15 min per wave. Please be ensured that all your data will be treated anonymously and confidentially. To take part, please follow the link http://ww2.unipark.de/uc/promovierende_0/ and fill out the German questionnaire (there is no English version).

If you would like to support us even further, please share our study with your fellow colleagues who also are working on their PhD thesis. In case there are any questions, please feel free to contact us writing a mail to umfrage.auopsych@uni-bamberg.de.

Thanks for your support and best wishes,
Iris and Paul

Further informtion

University of Hamburg: Introduction to Research in Closed-Loop Supply Chains

Institution: Universität Hamburg, Fakultät für Betriebswirtschaft

Course instructor: : Prof. Gilvan Souza (Kelley School of Business, Indiana University)

Date: June 16th 2017, 09:00-13:00 h  (block course)

Room: tba

Course Value: 1 LP

Teaching language: English

Registration: Please register via email to stefanie.nonnsen@uni-hamburg.de

Course Overview:
This course will provide an overview of research and tools used in closed-loop supply chain management research in operations management. A closed-loop supply chain is a supply chain with flows of products post-consumer use from consumers to retailers, manufacturers, and/or suppliers. Examples include consumer returns, and post-lease products. Emphasis will be given to strategic decision-making, such as product line extension, choice of product quality, and take-back legislation.

Course Contents:

  • An overview to closed-loop supply chains (CLSCs): types of product returns, and types of disposition decisions.
  • Examples of strategic, tactical and operational decisions in CLSCs
  • Strategic decision 1: Should an Original Equipment Manufacturer (OEM) offer a remanufactured product in its product line?
    • Monopoly pricing for a single product, and for a vertically differentiated product line under linear demand curves and constant marginal costs
    • The fundamental trade-off: Market expansion vs. cannibalization
    • Extension: non-linear demand curves
    • Competition between an OEM and a third-party remanufacturer
  • Strategic decision II: What is the optimal product quality when there is product recovery in the form of remanufacturing and/or recycling?
    • Introduction to classical quality choice models without product recovery (Mussa and Rosen, 1978)
    • Quality choice with product recovery: monopoly (Atasu and Souza 2013)
    • Quality choice with product recovery: competition between an OEM and a third-party remanufacturer (Orsdemir et al. 2014)
  • Strategic decision III: Design of optimal take-back legislation from a policy maker’s perspective, and an OEM’s response to it
    • The concept of welfare and its components: firms’ profits plus consumer surplus minus environmental impact
    • The model by Atasu and Van Wassenhove (2009)
  • Incentives and coordination in CLSCs
    • Reducing consumer returns through retailer effort (Ferguson, Guide, and Souza, 2006)
  • Overview of tactical decision making in CLSCs
    • Production planning for remanufactured products: product acquisition, grading, and disposition decisions
    • Hybrid inventory systems

Prerequisites: Background in Operations and Supply Chain Management is preferred but not absolutely necessary.

Assessment: Participation in discussion

University of Hamburg: HCHE Research Seminar and PhD Course 24 to 25 April 2017

Institution: Hamburg Center for Health Economics (HCHE)

Course instructor: Professor Mike Drummond, Professor of Health Economics and former Director of the Centre for Health Economics at the University of York

Date: 24-25 April 2017

Time:

  • 24 April: arrival of Prof. Mike Drummond, individual meetings (please ask for an appointment: andrea.buekow@uni-hamburg.de)
  • 24 April, 4:30 pm: HCHE Research Seminar Title: Where politics and economics collide: the case of orphan drugs
  • 25 April, 9:00 am – 5:00 pm: PhD Course Title: Methodological and Policy Issues in Economic Evaluation

Place: HCHE, Esplanade 36

  • HCHE Research Seminar: Rooms 4011/13
  • PhD Course: Rooms 4030/31

Credit Points: 1 SWS/2 LP (Universität Hamburg)

Teaching language: English

Registration for the PhD Course:  andrea.buekow@uni-hamburg.de, no later than 14 April 2017

University of Hamburg: Statistical Analysis of Big Data

Institution: Universität Hamburg, Fakultät für Betriebswirtschaft

Course instructor: Prof. Martin Spindler (UHH)

Date: Semester course, Time: T or W, 8-10am

Place: tba

Course value: 2 SWS or 4 LP

Course overview:
The main goal of this course is to give an introduction to statistical methods for the analysis of big data. Recently developed methods are discussed, in particular various methods of machine learning are presented and basic concepts for the analysis of big data are introduced. The course is based on the recent book by Efron and Hastie (2016).

Reference: Efron, B. and T. Hastie. Computer Age Statistical Inference. Cambridge University Press 2016.

Teaching language: English

Student evaluation: paper presentation/presentation of a chapter of the book

Registration: by email to martin.spindler@uni-hamburg.de