How Strategic International Human Resource (IHR) Strategies can manage Organizational Performance Challenges
DOI:
https://doi.org/10.14738/abr.610.5370Abstract
The global marketplace has become an economic reality in which the United States could be considered a dominant player, but some economists have stated that its position in this global economic environment has been declining in previous decades due to the European Union, Asian, and Emerging Markets. With that in mind, according to Wiley (1996) study, since the late 90s, most employers have been battling the benefits, conflicts, and challenges that come with a culturally diverse workplace. The advantage of a different environment is that it will bring about a broad range of knowledge, awareness, and viewpoints from people that were brought up in different cultural environments. As a result, a robust international position will require that human resource managers (HRM) are prepared to function effectively and efficiently in a goal-oriented environment. These managers must also appreciate cultural diversity and understand the complexities of the global climate and be willing to adapt their skills and strategies to cope with the international business challenges. This research paper will reveal how the GLOBE (Global Leadership and Organizational Behavior Effectiveness) techniques can be used to develop Human Resource Management Strategies to empower managers to do whatever is necessary to achieve organizational goals with the appropriate resources.
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Gerald, R. V. (2018). How Strategic International Human Resource (IHR) Strategies can manage Organizational Performance Challenges. Archives of Correlation Matrix APPENDIX Black or African Hispanic White American Asian or Latino White 1.000
Black or African American .812 1.000 Asian .988 .831 1.000 Hispanic or Latino .463 .789 .468 1.000 5 sample size ± .878 critical value .05 (two-tail) ± .959 critical value .01 (two-tail) Regression Analysis R² 0.977 Adjusted R² 0.908 n 5 R 0.988 k 3 Std. Error 3.643 Dep. Var. White ANOVA table Source SS df MS F p-value Regression 562.0852 3 187.3617 14.11 .1927
Residual 13.2748 1 13.2748 Total 575.3600 4 Regression output confidence interval p- 95% 95% variables coefficients std. error t (df=1) value lower upper -Intercept 5.7786 12.5578 0.460 .7254 153.7828 165.3399 Black or African American -0.1132 0.5858 -0.193 .8784 -7.5566 7.3301 Asian 0.6700 0.2103 3.186 .1936 -2.0020 3.3419
Hispanic or Latino 0.1545 0.9457 0.163 .8969 -11.8623 12.1713
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