TY - GEN
T1 - Factors of staff turnover in textile businesses in Colombia
AU - Orozco-Acosta, Erick
AU - De la Hoz-Toscano, Milton
AU - Ortiz-Ospino, Luis
AU - Gatica, Gustavo
AU - Vargas, Ximena
AU - Coronado-Hernández, Jairo R.
AU - Silva, Jesus
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2021.
PY - 2021
Y1 - 2021
N2 - The Colombian textile sector, which represents 3% of the gross domestic product, has staff turnover problems. When a worker quits, an immediate replacement is needed in order to not affect productivity. Companies often recruit people without training or even experience. In this paper is analyses job turnover of businesses in the textile sector in Barranquilla (Colombia) through internal, external and contextual factors with their respective indicators. The investigation is quantitative with a correlational scope and a cross-sectional design. The methodology consisted of reliability testing (Cronbach’s alpha and McDonald’s omega) and construct validity (exploratory factor analysis) for the measurement instrument. This was followed by a descriptive analysis, with measures in relation to central tendency and dispersion for each factor indicator, concluding a confirmatory factor analysis with maximum likelihood estimates to observe causality, covariation and incidence relationships. The results established that the relevant indicators are commitment and satisfaction, sickness and company flexibility. The strongest covariance is between internal and contextual factors. Consistent with the theory, it was possible to statistically validate the theoretical model applied and a tool to measure job turnover.
AB - The Colombian textile sector, which represents 3% of the gross domestic product, has staff turnover problems. When a worker quits, an immediate replacement is needed in order to not affect productivity. Companies often recruit people without training or even experience. In this paper is analyses job turnover of businesses in the textile sector in Barranquilla (Colombia) through internal, external and contextual factors with their respective indicators. The investigation is quantitative with a correlational scope and a cross-sectional design. The methodology consisted of reliability testing (Cronbach’s alpha and McDonald’s omega) and construct validity (exploratory factor analysis) for the measurement instrument. This was followed by a descriptive analysis, with measures in relation to central tendency and dispersion for each factor indicator, concluding a confirmatory factor analysis with maximum likelihood estimates to observe causality, covariation and incidence relationships. The results established that the relevant indicators are commitment and satisfaction, sickness and company flexibility. The strongest covariance is between internal and contextual factors. Consistent with the theory, it was possible to statistically validate the theoretical model applied and a tool to measure job turnover.
KW - Job turnover
KW - Organizational management
KW - Productivity
KW - Textile sector
UR - http://www.scopus.com/inward/record.url?scp=85090093921&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-6876-3_37
DO - 10.1007/978-981-15-6876-3_37
M3 - Conference contribution
AN - SCOPUS:85090093921
SN - 9789811568756
T3 - Advances in Intelligent Systems and Computing
SP - 479
EP - 487
BT - Computational Methods and Data Engineering - Proceedings of ICMDE 2020
A2 - Singh, Vijendra
A2 - Asari, Vijayan K.
A2 - Kumar, Sanjay
A2 - Patel, R.B.
PB - Springer
T2 - International Conference on Computational Methods and Data Engineering, ICMDE 2020
Y2 - 30 January 2020 through 31 January 2020
ER -