The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research
نویسندگان
چکیده
Research in international business and management (IM) is highly complex, contextual, spans various subfields related theoretical lenses. These characteristics pose research challenges that require utilizing sophisticated designs methodologies. This paper our focused issue on ‘The use of partial least squares structural equation modeling (PLS-SEM) complementary methods IM research’ further clarify whether how researchers using PLS-SEM can address (some of) the research. We explain benefit from (advanced) capabilities offers; either as a stand-alone method or triangulation efforts leverage approaches. In addition, we review literature for applications evaluate are already these identify some room improvement when it comes to application both more advanced with qualitative data analyses, techniques such fuzzy set comparative analyses necessary condition analyses. For better guidance, refer examples which methodological advances used.
منابع مشابه
Designing a Commercialization Model for Research Achievements at a Military University Research Institute by Partial Least Squares Structural Equation Modeling
Background and Aim: Today, in universities and research institutes, the lack of attention to commercialization makes it impossible or difficult to enter the markets for technology and research products. therefore, this study aims to design a commercialization model for research achievements of a military research institute. Methods: This descriptive-analytic study was done in a cross-sectional ...
متن کاملPartial Least Squares: The Better Approach to Structural Equation Modeling?
With the ever-increasing acceptance of the need to empirically validate theories in the social science disciplines (e.g., Sheth, 1971), data and multivariate analysis techniques (e.g., Hair et al., 2010; Hair et al., 2011b; Mooi and Sarstedt, 2011) play a central role in today’s research. The evolution of structural equation modeling (SEM) methods is perhaps the most important and influential s...
متن کاملNonlinear Structural Equation Modeling: Is Partial Least Squares an Alternative?
Nonlinear structural equation modeling provides many advantages over analyses based on manifest variables only. Several approaches for the analysis of latent interaction effects have been developed within the last 15 years, including the partial least squares product indicator approach (PLS-PI), the constrained product indicator approach using the LISREL software (LISREL-PI), and the distributi...
متن کاملModeling the Performance of Humanitarian Supply Chain Management with the Help of Partial Least Squares (PLS)
BACKGROUND: Increasing the incidence of natural disasters around the world has led to increased concerns about the social and economic development of developed countries. Natural disasters are inevitable, but they can be taken to reduce their negative impacts on countries. Organizations involved in managing these crises must regulate their supply chain and make the necessary changes to improve ...
متن کاملModel Selection in Information Systems Research Using Partial Least Squares Based Structural Equation Modeling
Partial Least Squares (PLS) based Structural Equation Modeling (SEM) has become increasingly popular in Management Information Systems (MIS) research to model complex relationships and to make valid inferences from the restricted sample to the larger population. Given the larger goal of creating generalizable theories in MIS research, we argue that the lack of model selection criteria in PLS th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Management International Review
سال: 2022
ISSN: ['1861-8901', '0938-8249']
DOI: https://doi.org/10.1007/s11575-022-00475-0