The Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) and Complementary Methods in International Management (IM) Research.

PostenCall for Papers for a Focused Issue on

Submission Deadline: March 30, 2021

Guest Editors:

Nicole F. Richter, nicole@.sam, (University of Southern Denmark, Denmark)

Sven Hauff, (Helmut Schmidt University, Germany)

Siegfried P. Gudergan, (University of Waikato, New Zealand)

Christian M. Ringle, (Hamburg University of Technology (TUHH), Germany, and University of Waikato, New Zealand)

Background and rationale for the focused issue

Complexities that characterize IM pose many challenges to IM scholars that remain unresolved. Responding to these challenges requires expanding or improving theories in IM that aptly account for complexities in international environments (Corbett, Cornelissen, Delios, & Harley, 2014; SenoAlday, 2010; Tsui, 2007). The necessary development and testing of refined or new theories rest on the translation of theoretical arguments into meaningful models and appropriate research designs that match the nature of the phenomenon studied (e.g., Fainshmidt, Witt, Aguilera, & Verbeke, 2020; Hauff, Guerci, Dul, & van Rhee, 2019; Richter, Sinkovics, Ringle, & Schlagel, 2016).

PLS-SEM is a well-established method that enables researchers to assess theoretical advances and to evaluate how well theories in IM predict outcomes (Hair, Risher, Sarstedt, & Ringle, 2019; Hair, Sarstedt, Pieper, & Ringle, 2012). Notwithstanding this method's capacity to do so, researchers may need to complement their PLS-SEM analyses with additional qualitative data analysis (e.g., Shah & Corley, 2006) and/or complementary quantitative methods (e.g., necessary condition analysis; Dul, 2016; fuzzy-set approaches; Fiss, 2011) to test their assumptions. In this context, this MIR focused issue solicits articles that make use of PLS-SEM and complementary methods to confront research phenomena and business practice challenges in IM

Research questions

We welcome articles that will advance IM theorizing and clearly align empirical research designs to theoretical phenomena in consideration of their real-life complexities by drawing on advanced PLS-SEM approaches. These approaches may include prediction-oriented assessments and model comparisons (e.g., Liengaard et al., 2020; Sharma, Shmueli, Sarstedt, Danks, & Ray, 2019; Shmueli et al., 2019), importance-performance map analysis (e.g., Ringle & Sarstedt, 2016), uncovering unobserved heterogeneity (e.g., Sarstedt, Ringle, & Hair, 2017), or the...

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