Call for Papers: Focused Issue on The Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) and Complementary Methods in International Management (IM) Research
Nicole F. Richter, University of Southern Denmark, Denmark, firstname.lastname@example.org
Sven Hauff, Helmut Schmidt University, Germany, email@example.com
Siegfried P. Gudergan, University of Waikato, New Zealand, firstname.lastname@example.org
Christian M. Ringle, Hamburg University of Technology (TUHH), Germany, and University of Waikato, New Zealand, email@example.com
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; Seno-Alday, 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, & Schlägel, 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.
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 examination of nonlinear relationships (e.g., Ahrholdt, Gudergan, & Ringle, 2019). Furthermore, we encourage articles that blend the use of PLS-SEM with complementary analytic procedures. These may include – yet are not limited to – necessary condition analysis (e.g., Richter, Schlaegel, van Bakel, & Engle, 2020) or fuzzy-set approaches (e.g., Kaya, Abubakar, Behravesh, Yildiz, & Mert, 2020) and mixed method approaches (see for instance the overview in Hurmerinta-Peltomäki & Nummela, 2006). Any article must focus on one or more of the core research areas of IM (White, Guldiken, Hemphill, He, & Khoobdeh, 2016), including, yet not limited to:
1. Why and how do certain factors strengthen the international performance of firms?
2. Why, how and where do firms engage in international diversification?
3. Why and how do certain factors contribute to the success of specific entry modes, such as strategic alliances?
4. How do MNEs coordinate and configure resources through structural controls and how does this influence their performance?
5. What is the influence of top management team international orientation or composition on MNE strategic decision-making?
6. Why and how do international human resource practices influence the performance of firms and international employees?
7. What are the effects of cultural distance, cultural diversity and cultural competences on outcomes at the organizational, team and individual levels?
Papers for this focused issue should be prepared in accordance with the MIR’s submission guidelines.
Papers should be submitted directly to the guest editors at: firstname.lastname@example.org by the deadline March 30, 2021.
All papers will go through the MIR regular double-blind review process.
Reference details can be provided by the guest editors on request.