Kutatói szemináriumok

Dr. Jörg Henseler
Professor, University of Twente

Cím: Research Seminar: Behavioral Research vs. Design Science Research: Implications for Management Research

Leírás: Keynote lecture examining the fundamental differences and complementarities between design-oriented and behavioural research paradigms, including episte-mological foundations, methodological choices, and the role of artefacts in scien-tific inquiry.
Scientific inquiry comprises two complementary streams. Behavioral research is a science of the existing: it asks "How is…?", follows the scientific realist paradigm, relies on Humean causality, and treats truth as something that exists to be discovered. Design science research is a science of the artificial (Simon, 1969): it asks "How can…?", follows the pragmatist paradigm, draws on Aristotle's four causes, and treats truth as something that works. The two differ further in their concepts—attitudes and needs versus instruments and interventions—and in how scholarly papers are structured.
This presentation contrasts the foundations, questions, and activities of each stream, situating business and marketing research at their intersection. It frames design as transforming a current situation into a desired one, reviews the comparatively underdeveloped state of design theory, and introduces key frameworks including technological rules, design thinking, and the IMRaD structure adapted for design science. It argues that emergence may serve as a guiding principle for design research and that confirmatory composite analysis (CCA) offers a rigorous, composite-based approach to theorizing about artifacts. It concludes that design science, though less mature than behavioral science, offers a legitimate path to producing solutions that work. Moreover, by shifting the focus from explaining existing phenomena to designing solutions that work, design science research holds the potential to make managerial research substantially more relevant.

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Cím: Workshop: Design Thinking

Leírás:Interactive workshop introducing participants to the five-stage Design Thinking process (Empathise – Define – Ideate – Prototype – Test) through a hands-on case study. The subsequent design thinking workshop will tackle several design methods that facilitate the process of empathizing with the problem owners, defining the challenge, ideating, prototyping, and testing.
Structural equation modeling (SEM, c.f. Bollen 1989) is a powerful multivariate statistical framework that enables researchers to test theories by simultaneously examining complex relationships among observed and unobserved variables. This three-hour workshop provides a comprehensive, hands-on introduction to SEM with a particular focus on two advanced and often misunderstood components: latent variables and formative constructs (Henseler 2021). The workshop begins by establishing the conceptual and statistical foundations of SEM, contrasting it with traditional regression-based approaches and introducing key model components including measurement models, structural models, and fit evaluation. All methods are implemented in R using the lavaan package (Rosseel 2012), an actively maintained package that offers flexible and transparent model specification through an intuitive model syntax. Participants will work directly with lavaan code throughout the session, gaining practical experience they can immediately apply to their own research. A central theme of the workshop is the distinction between reflective measurement models of latent variables and composite models of formative constructs — a critical methodological choice that profoundly shapes model specification, validation, and interpretation. While reflective indicators are caused by the underlying latent construct, formative constructs are defined by or made up of their indicators Participants will learn how to specify both types of models in lavaan, interpret their output, and understand the constraints each imposes. The workshop closes with an open session for questions and discussion, offering participants the opportunity to reflect on how the methods covered apply to their own research contexts, and to seek guidance on specific modeling challenges they may face.

References
Bollen, K. A. (1989). Structural equations with latent variables. Wiley.
Henseler, J. (2021). Composite-based structural equation modeling: Analyzing latent and emergent variables. Guilford Press.
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02

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Cím: Training Session: Structural Equation Modeling with Latent Variables and Formative Constructs

Leírás: In-depth methodological session covering latent variable modelling, the distinc-tion between reflective and formative measurement models, and best practices for the specification and assessment of formative constructs.

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Dr. Rolf Sternberg
Professor, Leibniz University Hannover

Cím: Regional innovation policies in favor of doing-using interacting (DUI) innovations in lagging regions: What about the perceptions of local SMEs?

Leírás: TBA

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Dr. Prachi Gala
Associate Professor, Kennesaw State University

Cím: Why CEO Integrity Matters for Risk Taking and Digital Progress

Leírás: This research is an exploration of how Chief Executive Officer (CEO) integrity influences CEOs’ risk-taking propensity and subsequently the Digital Orientation (DO) of their firms. This study suggests that high integrity CEOs tend to have lower risk-taking propensity which subsequently leads to lower digital orientation in their firms. The negative impact of CEO integrity on DO is stronger in firms with high R&D intensity. However, high advertising intensity and the presence of Chief Marketing Officers (CMOs) in firms’ Top Management Teams (TMTs) attenuate this negative relationship. The findings of the study make a substantial contribution to an improved understanding of the multifaceted factors that are expediting digital adoption in organizations, offering valuable insights for marketing academics, board members, investors, employees, and customers.
Kulcsszavak: CEO Integrity; Digital Orientation; R&D Intensity; Advertising Intensity; Chief Marketing Officer; Risk-Taking.

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Dr. Reinhard Prügl
Professor, Vienna University of Economics and Business

Cím: Legacy in Motion: Challenges & Opportunities for Family Firm Research

Leírás: Family firms are the dominant form of entrepreneurial action across the globe. Nevertheless, as research on family firms is still in an emerging state, many challenges and opportunities of family businesses and business families remain untackled. In this talk, we will talk about the importance of family firms for our economies in Europe a long with uncovering and problematizing (some) of the challenges and opportunities that those entrepreneurial units face currently, resulting in a discussion of pressing questions we need to tackle in order to further our knowledge on the future ability of family businesses and business families alike.

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Dr. Esteban Lafuente
a Costa Rica Institute of Technology (ITCR) School of Business professzora

Cím:    Prof. Dr. Esteban Lafuente tudományos kutatásai

Leírás:  TBA