Author Archives: Simon Jebsen

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

management revue – Socio-Economic Studies – Vol. 30, No. 2/3 (Corporate Responsibility: In the Dilemma between Fake and Trust)

2nd/3rd Issue 2019
management revue – Socio-Economic Studies, Volume 30

Special Issue ‘Corporate Responsibility: In the Dilemma between Fake and Trust’
Guest Editors: Simon Fietze, Wenzel Matiaske, Roland Menges

Simon Fietze, Wenzel Matiaske, Roland Menges
Corporate Responsibility: In the Dilemma between Fake and Trust?

Walther Müller-Jentsch
The Dialectics of Trust and Control: About Different Concepts in Human Resource Management and Mandatory Co-determination

Ute Schmiel
Corporate Social Responsibility: A Fake Already According to the Theory of the Firm?

Leona A. Henry, Guido Möllering
Collective Corporate Social Responsibility: The Role of Trust as an Organizing Principle

Jürgen Beyer, Simon Dabrowski, Florian Lottermoser, Konstanze Senge
Shaping or Shaking Trust in Corporate Responsibility Strategies: The Role of Financialization Practices

Grit Tanner, Eva Bamberg, Carolin Baur, Marlies Schümann
Workplace Health Promotion Inspired by Corporate Social Responsibility – Interactions Within Supply Chains and Networks

Maria Uzhegova, Lasse Torkkeli, Sami Saarenketo
Corporate Social Responsibility in SMEs: Implications on Competitive Performance

Thomas Hermann
Corporate Social Responsibility in the Dock. How Persuasive Strategies Support Verbal Accounts in the Event of Loss of Trust

Fabian Grabicki, Roland Menges
Consumer Responsibility and the Transformation Process of the Electricity Market: Insights From Behavioral Decision Research

Call for Papers

Digitalization, Big Data, Social Media and Internet of Things from a Network and Customer Perspective
Submission Deadline: 01 November 2019

Good Work: Eroding and New Standards in a Changing World
Submission Deadline: 31 December 2019

Employee Voice and the Digitalization of Work (Seminar at the IUC Dubrovnik, April 20-24, 2020 & Special Issue)
Submission Deadline: 31 January 2020

Grant Acquisition – How to Produce a Winning Proposal

Dieser Workshop vermittelt Hintergrundwissen, Kenntnisse und Werkzeuge für das Konzipieren und Schreiben von Projektanträgen für Forschungsförderung. Horizon2020, das Rahmenprogramm der Europäischen Union für Forschung und Innovation dient als Modell, die erworbenen Fähigkeiten sind auf andere Forschungsförderprogramme übertragbar.

Die Seminarsprache ist Englisch.

Referentin
Monica Schofield arbeitet seit 1999 für Tutech Innovation GmbH wo sie Director International Cooperation ist. Derzeit leitet sie den Geschäftsbereich Kompetenzentwicklung und Beratung. Seit 1995 ist sie in ganz Europa als Beraterin für Forschungs- und Innovationsmanagement aktiv, wobei sie zahlreiche Workshops zum Thema durchgeführt hat.

Mehr Information

REMINDER: 13th International Research Workshop – Methods for PhD – 15–20 September 2019: Registration Open Now!

Akademie Sankelmark, Flensburg (Germany) http://www.phd-network.eu/irws/programme/ PROGRAMME PARALLEL MORNING SESSION 1 (16 – 18 September 2019)
  • Data Analysis with Stata Tobias Gramlich, Hesse State Statistical Office
  • Qualitative Interviewing Dr. Sarah Potthoff, Ruhr-University Bochum
  • Grounded Theory Dr. Christine Moritz, Feldpartitur GmbH
  • Introduction to Survival Analysis Andrea Schaefer, University of Bremen
  • Writing your Literature Review Prof. Dr. Katharina Stornig, Justus-Liebig-University Gießen
PARALLEL AFTERNOON SESSION 2 (16 – 18 September 2019)
  • Data Analysis with R Dr. Marco Lehmann, UKE Hamburg
  • Analysing Panel and Spatial Data Prof. Dr. Timo Friedel Mitze, University of Southern Denmark
  • Questionnaire Design Prof. Dr. Daniel Schnitzlein Leibniz University Hannover & DIW Berlin
  • Case Study Research Dr. Kamil Marcinkiewicz, University of Oldenbourg
  • Introduction to Data Mining and Quantitative Text Analysis with R Pascal Jürgens, Johannes Gutenberg-University Mainz
PARALLEL SESSION 3 (19 September 2019)
  • Philosophies of Sciences Prof. Dr. Jaime Bonache, Carlos III University of Madrid
  • Qualitative Comparative Analysis (QCA) Dr. Jonas Buche, Leibniz University Hannover
  • Measuring Preferences using Conjoint Analytic Methods and Advanced Compositional Approaches Prof. Dr. Martin Meissner, University of Southern Denmark
  • Necessary Condition Analysis Prof. Dr. Sven Hauff, Helmut-Schmidt-University
  • Multi-level Modelling with R Dr. Daniel Lüdecke, UKE Hamburg
WORKSHOP COMMITTEE:
  • Wenzel Matiaske, Helmut-Schmidt-University
  • Simon Fietze, University of Southern Denmark
  • Heiko Stüber, Institute for Employment Research
FEES & CREDIT POINTS 499 Euro (with accommodation and meals) 299 Euro (without accommodation; lunch and dinner are included) It is possible to get a certificate on 5 credit points (according to the European Credit Transfer System). CONTACT & REGISTRATION For any questions don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com). Please register for the workshop on the workshop website. ORGANIZERS
  • Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
  • Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg
  • Akademie Sankelmark im Deutschen Grenzverein e.V.
SUPPORTERS
  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics
  • Werkstatt für Personal- und Organisationsforschung e.V.

VHB-ProDok: Philosophy of Science – Foundations and Implications for Research Designs and Research Methods (12.-15.11.2019)

Die wissenschaftstheoretische Analyse ist eine Grundlage für die Beurteilung eigener und fremder Forschungsleistungen. Während jedoch bei der Lektüre eines wissenschaftlichen Aufsatzes oder Monographie die eingesetzten Methoden, wie z.B. ein Fragebogen zur Erhebung von Daten oder eine Regressionsanalyse zur Auswertung von Daten, zu dokumentieren sind, wird die zugrunde liegende wissenschaftstheoretische Position häufig nicht einmal erwähnt. Wer sich jedoch mit Begründungsansprüchen wissenschaftlicher Forschung und ihrer Methoden auseinandersetzen will, kommt um eine Beschäftigung mit eben diesen Positionen nicht herum. Insbesondere bei mixed-method-Studien werden zudem solche Expositionen auch von Gutachtern und Journal-Editoren zunehmend eingefordert.

Ziel des Kurses ist es daher, die Teilnehmer mit den wesentlichen wissenschaftstheoretischen Strömungen und ihren für die Wissenschaft wesentlichen ontologischen und epistemologischen Positionen vertraut zu machen. Der Einstieg ins Thema erfolgt auf der Basis dreier Leitfragen im Rahmen eines „World Cafés“, die den Verlauf des Kurses strukturieren. Die Grundlagen der Wissenschaftstheorie werden von einem Dozenten vorgestellt und dienen einer gemeinsamen Diskussionsbasis für die verschiedenen Positionen. Anschließend werden die verschiedenen Strömungen der Wissenschaftstheorie und ihre wesentlichen Implikationen für die Forschungsmethoden und das Forschungsdesign durch die Teilnehmer präsentiert, wobei jeweils Themenschwerpunkte gebildet werden. Die individuellen Präsentationen dienen dann als Grundlage für die anschließende gemeinsame Diskussion und ggf. thematische Erweiterung durch die Dozenten.

Eine wesentliche Zielsetzung des Kurses ist es, für die verschiedenen Strömungen der Wissenschaftstheorie zu sensibilisieren und grundlegende Kenntnisse über verschiedene wissenschaftstheoretische Begründungsstrategien zu vermitteln, um eine kritische Reflektion über die eigene wissenschaftliche Forschung zu ermöglichen. Obwohl der Schwerpunkt des Kurses auf der Diskussion philosophischer (wissenschaftstheoretischer) Positionen liegt, ist es ein weiteres Anliegen des Kurses, deren Bedeutung für die wissenschaftliche Praxis zu thematisieren und anhand praktischer Beispiele zu analysieren.

Veranstaltungsdatum: 12. bis 15. November 2019

Referent:

Prof. Dr. Rolf Brühl
ESCP Europe Business School Berlin

Prof. Dr. Thomas Wrona
Technische Universität Hamburg-Harburg

Anmeldung:

Um einen Überblick über die Höhe der Teilnahmegebühr zu erhalten und um sich anzumelden, nutzen Sie bitte diesen Link: http://vhbonline.org/veranstaltungen/prodok/anmeldung/

Sie können außerdem eine Email prodok(at)vhbonline(dot)org senden.

Weitere Informationen:

VHB-ProDok 1911MUE03 Syllabus.pdf

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2019/1911mue03/.

Talking to the media: An introduction to science communication 06 December 2019 in Hamburg

Date: 06 December 2019, TUHH

Time: 09:00 – 16:30

Location: Tutech Innovation GmbH, Harburger Schloßstraße 6-12, 21079 Hamburg

If you’ve made an important research breakthrough, other people should know about it. Of course your peers are important, but what about the wider world? The terms of your research funding may also require you to disseminate your results publicly. This workshop looks at how journalists work and at how to tell your story succinctly and clearly so that a non-specialist audience will understand you. It also covers press release writing, dealing with controversial issues and devising a media strategy and incorporates several hands-on practice sessions.
The workshop is designed for early-stage researchers, e.g. PhD candidates or postdocs; research project partners who are responsible for disseminating results.

The language of presentations will be English.

Click here for more Information.

Qualitative Comparative Analysis (QCA)

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Jonas Buche, Leibniz University Hannover

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Since the publication of the seminal work “The Comparative Method” by Charles Ragin in 1987, set-theoretic methods and especially Qualitative Comparative Analysis (QCA) have become a common research strategy in the social sciences. Set-theoretic methods analyse cases with regard to the identification of sufficient and necessary conditions and assume set relations to be equifinal, conjunctural and asymmetric. Not least since so-called fuzzy sets have been introduced to the method, there has been a rising interest in QCA as a welcome alternative to both small-n case studies and large-n statistical analyses. In short, QCA is recommended if ‘if…then’ hypotheses are analysed; if the goal is to derive sufficient and necessary conditions; if a comparison is planned; and if there is a mid-sized number of cases (between 10 and 60+).

The course offers a comprehensive introduction to QCA and is both conceptually and technically oriented. It starts off with an overview of the basics of set theory and demarcates QCA as a case-oriented method from both the quantitative and the interpretive-qualitative research paradigm. Through the notion of necessary and sufficient conditions and of truth tables, the single elements are built into the Truth Table Algorithm. However, this algorithm is not free of problems. Therefore, some pitfalls and strategies on how to overcome them are presented. On the third day, the software tool fsQCA will be introduced and applied to published studies.

Requirement of students: No prior knowledge is required. We will use the software fsQCA2.5 which can be downloaded at www.fsqca.com.

Recommended literature and pre-readings:

Buche, Jonas. 2017. “Assessing the Quality of Qualitative Comparative Analysis (QCA) – Evaluation, Improvement, Application”. Hannover: Leibniz Universität (https://www.researchgate.net/publication/323749578_Assessing_the_Quality_of_Qualitative_Comparative_Analysis_QCA_Evaluation_Improvement_Application)

Cebotari, Victor, and Maarten P. Vink (2013). “A Configurational Analysis of Ethnic Protest in Europe.” International Journal of Comparative Sociology, Vol. 54(4), 298-324.

Schneider, Carsten Q./Wagemann, Claudius, 2012. Set-Theoretic Methods for the Social Sciences. A Guide to Qualitative Comparative Analysis. Cambridge: Cambridge University Press.

You have to register for the International Research Workshop to participate in this course.

Multi-level Modelling with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Daniel Lüdecke (UKE Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The course teaches how to fit multilevel regression models with the statistical programming language R. First, simple (generalized) linear regression models are introduced to show important basic principles of modelling, like simple regression, interaction terms, non-linear relationships between predictors and outcome (polynomial and spline terms). Later, the application of these principles in a multilevel framework are demonstrated. Furthermore, graphical representation of complex mixed models is covered that help communicate complicated models in a simple way even for a broad audience that is less familiar with such modelling techniques. Successful participation requires basic knowledge of regression modelling techniques. Students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed. All source code to run the examples is provided in preparation to the course.

Requirements: Basic knowledge of regression modelling (familiarity with terms like dependent and independent variables, linear and logistic regression, estimate, …)

Recommended readings:

Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., … Inger, R. (2018). A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ, 6, e4794. https://doi.org/10.7717/peerj.4794

Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009). Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution, 24(3), 127–135. https://doi.org/10.1016/j.tree.2008.10.008

Required R packages:

  • Modelling: lme4, glmmTMB, GLMMadaptive
  • Visualization: ggeffects, sjPlot
  • Model Quality: performance
  • Data preparation: sjmisc, dplyr, tidyr

Run install.packages(c(“lme4”, “glmmTMB”, “performance”, “GLMMadaptive”, “ggeffects”, “sjPlot”, “sjmisc”, “dplyr”, “tidyr”), dependencies = TRUE) to install the relevant packages.

You have to register for the International Research Workshop to participate in this course.

Analysing Panel and Spatial Data

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Dr. Timo Friedel Mitze (University of Southern Denmark)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The course is divided into two modules:

Part 1) Panel Data Analysis: The first module of the course is organized as a (basic!) introduction to the use of panel data in the different fields of business and social sciences. It is not meant as an expert course in advanced panel data modelling. The main goal is thus to provide insights into why and when applied researchers can benefit from working with panel data, i.e. the combination of cross-sectional and time-series data. The course provides course participants with an overview of the different types of (micro and macro) models that are available for panel data estimation and shows how to properly estimate these models with the help of the statistical software package STATA. Building on these basics, an outlook on more advanced panel data models will be given.

Part 2): Spatial Data Analysis: In the second module course participants will learn to use graphical and statistical tools to visualize and estimate models, in which spatial interaction places an important role. Besides presenting the general logic of spatial modeling approaches, a strong focus lies on illustrating the potential for applied work with these tools in the software package STATA. The module is structured as follows: After a brief introduction, different research settings in business and social sciences are outlined, which may call for the explicit use of spatial estimation techniques, for instance, in order to identify the importance of network and neighborhood effects. This is followed by some practical applications on how to measure and visualize the degree of spatial dependence in variables. The module then introduces course participants into the field of spatial econometrics and students can work with hands-on applications on the basis of different data sets. Finally, a link to spatial panel data models will be given to close the course.

Course Tools: Please bring your laptop computer. STATA can be installed in the beginning of the IRWS. Licenses will be provided. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers. Introductory readings will be provided to registered participants approx. 4-6 weeks ahead of the course (see examples).

Basic requirements: Basic knowledge in econometrics; basic knowledge in STATA (e.g. online tutorial: https://www.youtube.com/watch?v=QaI_a_l2jqo)

Exemplary Readings

Baltagi, B. Econometric Analysis of Panel Data. 3 rd or higher edition, Wiley.

LeSage, J. Pace, K. Introduction to Spatial Econometrics. CRC Press.

Philosophies of Science

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Jaime Bonache (Universidad Carlos III de Madrid and Permanent Visiting Professor at ESADE Business School in Barcelona, Spain)

Date: see Workshop Programme

Max. number of participants: 15

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: By one widely held conception, Philosophy of Science is the attempt to understand the meaning, method, and logical structure of science by means of a logical and methodological analysis of the aims, methods, criteria, concepts, laws, and theories of science. It is thus an attempt to get a clear understanding of what science is and what is not. The major goal of this course is to provide students that understanding.

We would like to stress that this is an introductory course in Philosophy of Science. Our principles of selection of the topics included have been these: The selection should be intrinsically interesting. It should be relevant and comprehensible to a beginning student. It should serve to provoke discussion and criticism. We have also tried to relate the topics to current philosophical and methodological debates in the management area.

  1. INTRODUCTION
    a. The nature of management research
    b. (Two basic) Philosophical Positions in
    Management Research: Positivism and Interpretivism
  2. THE POSITIVIST APPROACH
    c. Positivism and Post-positivism
    d. Positivist research traditions in Management
    i. Theory Testing Research
    ii. Theory Building/Elaboration Research
    e. Evaluating Research Contributions in the Positivist tradition
    f. Some problems of positivism
  3. THE INTERPRETIVE APPROACH
    g. Phenomenology, Hermeneutics and its predecessors
    h. Comparing positivist and interpretive research contributions
    i. Evaluating research in the Interpretive Tradition
    j. Is interpretivism compatible with positivism?

The assigned readings are the following:

Bansal, P, Smith,W. and Vaara E. (2018): “New ways of seeing through qualitative research, Academy of Management Journal, Vol. 61 (4): 1189-1195.

Bonache. J and Zarraga, C. (2019): Compensating International Mobility in a Worker’s Cooperative: An interpretive study, Journal of World Business, in press

Lee, A. S. (1991). Integrating positivist and interpretive approaches to organizational research. Organization science, 2(4), 342-365.

Basic Bibliography:

Aguinis, H., & Solarino, A. M. 2019. Transparency and replicability in qualitative research: The case of interviews with elite informants. Strategic Management Journal. https://doi.org/10.1002/smj.3015

Alvesson, M., & Sandberg, J. (2011). Generating research questions through problematization. Academy of management review, 36(2), 247-27,1

Benton, T. (2001). Philosophy of social science: The philosophical foundations of social thought, McMilllan International.

Gibbert, M., Ruigrok, W., & Wicki, B. (2008). What passes as a rigorous case study?. Strategic management journal, 29(13), 1465-1474.

Kuhn, T. (1996): The Structure of Scientific Revolutions, 3rd Edition (First Edition 1962), The University of Chicago Press

Popper, K. (1963): “Science: Conjectures and Refutations.” From Conjectures and Refutations, pp. 33-41, 52-59. New York: Harper and Row

Rosenberg, A. (2011). Philosophy of science: A contemporary introduction. Routledge.

Sanders, P. (1982). Phenomenology: A new way of viewing organizational research. Academy of management review, 7(3), 353-360.

Sandberg, J. (2005). How do we justify knowledge produced within interpretive approaches?. Organizational research methods, 8(1), 41-68.

You have to register for the International Research Workshop to participate in this course.