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Transformational Impact of Strategic Human Resource Management: A Case of Less Represented Groups in the Fixed Line Telecom Sector

Published online Transformational Impact of Strategic Human Resource Management: A Case of Less Represented Groups in the Fixed Line Telecom Sector

Abstract

Considering the business challenges faced by fixed-line telecommunication operators due to competition with cellular mobile operators, it has become a potential threat for these operators to survive in the telecommunication industry. Due to a decrease in the fixed-line customers, these operators strive to implement the best strategies of Sustained Competitive Advantage to remain competitive in the telecommunications industry. To handle these challenges, these operators need to implement specific business strategies with an effective role of Knowledge sharing and Strategic Human Resource Management. This study aims to investigate the linkage of Strategic Human Resource Management (SHRM) and Knowledge Sharing (KS) on Sustained Competitive Advantage (SCA), considering the less represented groups in the fixed-line telecommunication sector under the theoretical lens of resource-based theory. After collecting the data from the fixed-line telecommunications, a Confirmatory Factor Analysis (CFA) was conducted using SPSS to test the reliability and validity of adapted instruments and hypotheses testing using PLS-SEM. The results of hypotheses testing indicated that the indirect and direct relationships between SHRM and KS with SCA were significant. Hence, the proposed research model applies to different service and production industries in other countries with cross-cultural environments for researchers and practitioners.

Author

Hina Basharat, Muhammad Khurram Ali

Cite

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Detetion and Prevention of Irrelevent Data Through Data Cleansing

Published online Detetion and Prevention of Irrelevent Data Through Data Cleansing

Abstract

A file oriented unstructured data collected and transformed into the data warehouse .Two or more records identified separately actually represent same real world entity, detection and prevention to improve data quality. The proposed technique introduces smart tokens of most representative attributes by sorting those tokens identical records are bring into close neighborhood, record duplicates are identified and removed from the data. Clean consistent and non duplicated data loaded into warehouse. The technique is a mile stone for cleaning data as with the explosive amount of data recording it is the need of time that more corrected data to be provided to the data mangers for effective decisions making.