High Rate of Turnover Intention: Study of Logistics Industrial Workers
Corresponding Author(s) : Mohammad Annas
Startupreneur Business Digital (SABDA Journal),
Vol. 2 No. 2 (2023): Startupreneur Business Digital (SABDA)
Abstract
The research aims to uncover the root cause of the high rate in terms of logistic employee turn-over at the top ten logistics establishments under the management of Kawasan Berikat Nusantara located at the busiest logistics hub in the northern part of Indonesia. Ninety-eight respondents who were all decision makers representing ten major logistics establishments gave the primary data through structured questionnaires. Regression analysis was used to analyze the collected data as well as the description of hypothesis results. The conclusion showed that although the high tension of heavy industry in particular the logistics sector caused high job stress; it was not affecting the turn over intention of the employee. On the other side, employee job satisfaction gave more impact on employee turn-over. This circumstance gave a clear and objective description that job stress was really only the perception of the employee where they have their own flexibility and got full understanding related to the individual stress aspect. It concluded that logistics sector employees could tolerate job stress much better than their job satisfaction.
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References
A. K. Çelik, T. Yıldız, Z. Aykanat, and S. Kazemzadeh, “The impact of narrow personality traits on entrepreneurial intention in developing countries: A comparison of Turkish and Iranian undergraduate students using ordered discrete choice models,” European Research on Management and Business Economics, vol. 27, no. 1, p. 100138, 2021.
V. Carlan, J. Hintjens, J. Stuer, D. De Vylder, and T. Vanelslander, “Why do slot booking systems still generate time-losses and is there a solution for it?,” Research in Transportation Business & Management, vol. 44, p. 100790, 2022.
M. Á. López-Cabarcos, A. Lopez-Carballeira, and C. Ferro-Soto, “How to moderate emotional exhaustion among public healthcare professionals?” European Research on Management and Business Economics, vol. 27, no. 2, p. 100140, 2021.
T. T. Le, T. M. A. Nguyen, and T. H. C. Ngo, “Risk-based approach and quality of independent audit using structure equation modeling–Evidence from Vietnam,” European Research on Management and Business Economics, vol. 28, no. 3, p. 100196, 2022.
Y. Kwon, J. Byun, and S. Park, “Exploring the determinants of bus drivers job satisfaction: Evidence from South Korea,” Research in Transportation Business & Management, vol. 33, p. 100436, 2019.
C. S. Mjøsund and I. B. Hovi, “GPS data as a basis for mapping freight vehicle activities in urban areas–A case study for seven Norwegian cities,” Research in Transportation Business & Management, vol. 45, p. 100908, 2022.
C. McCahill, “Non-work accessibility and related outcomes,” Research in Transportation Business & Management, vol. 29, pp. 26–36, 2018.
L. M. da Luz, A. P. Antunes, V. Caldeirinha, J. Caballé-Valls, and L. Garcia-Alonso, “Cruise destination characteristics and performance: Application of a conceptual model to North Atlantic islands of Macaronesia,” Research in Transportation Business & Management, vol. 43, p. 100747, 2022.
D. Chonsalasin, S. Jomnonkwao, K. Chanpariyavatevong, W. Laphrom, and V. Ratanavaraha, “Modeling of airline passenger loyalty: A comparison of leisure and business travelers,” Research in Transportation Business & Management, vol. 43, p. 100735, 2022.
D. Dimitriou and M. Sartzetaki, “Assessment framework to develop and manage regional intermodal transport networks,” Research in Transportation Business & Management, vol. 35, p. 100455, 2020.
F. Debasa, V. Gelashvili, J.-G. Martínez-Navalón, and J. R. Saura, “Do stress and anxiety influence users’ intention to make restaurant reservations through mobile apps?,” European Research on Management and Business Economics, vol. 29, no. 1, p. 100205, 2023.
S. M. van der Pal et al., “Staff opinions regarding the newborn individualized developmental care and assessment program (NIDCAP),” Early Hum Dev, vol. 83, no. 7, pp. 425–432, 2007.
N. J. Vickers, “Animal communication: when i’m calling you, will you answer too?,” Current biology, vol. 27, no. 14, pp. R713–R715, 2017.
M. Wilson, M. Janjevic, and M. Winkenbach, “Modeling a time-differentiated policy for management of loading bays in urban areas,” Research in Transportation Business & Management, vol. 45, p. 100773, 2022.
M. Moslehpour, M.-L. Chang, and A. Dadvari, “Adopting the configurational approach to the analysis of job satisfaction in Mongolia,” European Research on Management and Business Economics, vol. 28, no. 1, p. 100179, 2022.
C. S. Mjøsund and I. B. Hovi, “GPS data as a basis for mapping freight vehicle activities in urban areas–A case study for seven Norwegian cities,” Research in Transportation Business & Management, vol. 45, p. 100908, 2022.
L. Sachdeva, K. Bharti, and G. K. Badhotiya, “Modeling of career entry barriers for women in male dominated occupations: A case of Indian railways,” Research in Transportation Business & Management, vol. 45, p. 100871, 2022.
H. Ringsberg and K. K. Lumsden, “Logistic management of trailers based on the EPCIS standard: A cross-case analysis,” Research in transportation business & management, vol. 19, pp. 65–72, 2016.
M. Bastida, I. Neira, and M. Lacalle-Calderon, “Employee’s subjective-well-being and job discretion: Designing gendered happy jobs,” European Research on Management and Business Economics, vol. 28, no. 2, p. 100189, 2022.
C. Bearn, C. Mingus, and K. Watkins, “An adaption of the level of traffic stress based on evidence from the literature and widely available data,” Research in Transportation Business & Management, vol. 29, pp. 50–62, 2018.