PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

How time value affects the performance of road freight transport operators in Zimbabwe

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The primary purpose of this paper is to investigate whether the Road Freight Transport Sector in Zimbabwe considers the value of time in their operations and how this affects their competitiveness. Methodology: This quantitative study involves a survey of 384 randomly selected companies from a population of 1256 registered road freight companies in Zimbabwe. The data collected was analyzed using SPSS. Results: The study found that all the registered companies that participated in the research confirmed that the value of time phenomenon was alien to their business practices as they worked on assumptions. They also indicated a loss of business due to customer complaints. Theoretical Contribution: This paper contributes to the field by highlighting the importance of considering the value of time in business operations, particularly in the road freight transport sector. It provides empirical evidence supporting the theory that the value of time can significantly impact a firm’s competitiveness. Practical Implications: The findings of this study have practical implications for companies in the road freight transport sector. The study recommends policy formulation for companies emphasizing standard operating procedures and good time management to enhance competitiveness. This could lead to improved customer satisfaction and business success.
Twórcy
  • Chinhoyi University of Technology, Chinhoyi, Zimbabwe
  • Department of Supply Chain Management, Chinhoyi University of Technology, Chinhoyi, Zimbabwe
autor
  • Department of Supply Chain Management, Chinhoyi University of Technology, Chinhoyi, Zimbabwe
Bibliografia
  • Bergkvist, E. (2001). The value of time and forecasting of flowsin freight transportation.
  • Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
  • De Jong, G. (2007). Value of freight travel-time savings. In Handbook of Transport Modelling: 2nd Edition (pp. 649-663). Emerald Group Publishing Limited. https://doi.org/10.1108/9780857245670-034
  • De Jong, G., Kouwenhoven, M., Bates, J., Koster, P., Verhoef, E., Tavasszy, L., & Warffemius, P. (2014). New SP-values of time and reliability for freight transport in the Netherlands. Transportation Research Part E: Logistics and Transportation Review, 64, 71-87. https://doi.org/10.1016/j.tre.2014.01.008
  • De Vaus, D. A. (2014). Surveys in Social Research. (6th ed). Australia: UCL Press. https://doi.org/10.4324/9780203519196
  • Duan, L., Tavasszy, L., & Peng, Q. (2017). Freight network design with heterogeneous values of time. Transportation Research Procedia, 25, 1144-1150. https://doi.org/10.1016/j.trpro.2017.05.127
  • Feo-Valero, M., García-Menéndez, L., & Garrido-Hidalgo, R. (2011). Valuing freight transport time using transport demand modelling: a bibliographical review. Transport Reviews, 31(5), 625-651. https://doi.org/10.1080/01441647.2011.564330
  • Fowkes, A. S., Firmin, P. E., Tweddle, G., & Whiteing, A. E. (2004). How highly does the freight transport industry value journey time reliability - and for what reasons? International Journal of Logistics: Research and Applications, 7(1), 33-43. https://doi.org/10.1080/13675560310001619259
  • Fowkes, A. S., Johnson, D. H., & Whiteing, A. E. (2006). Freight Modelling Final Report, A ‘Rail Research UK’ project final report, Institute for Transport Studies. University of Leeds, Leeds.
  • Goenaga, B., & Cantillo, V. (2020). Willingness to pay for freight travel time savings: contrasting random utility versus random valuation. Transportation, 47(2), 705-736. https://doi.org/10.1007/s11116-018-9912-5
  • Hensher, D. A. (2008). Assessing systematic sources of variation in public transport elasticities: some comparative warnings. Transportation Research Part A: Policy and Practice, 42(7), 1031-1042. https://doi.org/10.1016/j.tra.2008.02.002
  • Izadi, A., Nabipour, M., & Titidezh, O. (2020). Cost models and cost factors of road freight transportation: A literature review and model structure. Fuzzy Information and Engineering, 1-21. https://doi.org/10.1080/16168658.2019.1706960
  • Keya, N., Anowar, S., & Eluru, N. (2019). Joint model of freight mode choice and shipment size: a copula-based random regret minimization framework. Transportation Research Part E: Logistics and Transportation Review, 125, 97-115. https://dpo.org/10.1016/j.tre.2019.03.007
  • Kim, H. C., Nicholson, A., & Kusumastuti, D. (2017). Analysing freight shippers’ mode choice preference heterogeneity using latent class modelling. Transportation research procedia, 25, 1109-1125. https://doi.org/10.1016/j.trpro.2017.05.123
  • Kim, J. B., & Park, S. S. (2021). A Case Study on Aircraft Accidents Due to Air Traffic Controller's Human Error-Applying TEM (Threat & Error Management) Analysis. Journal of the Korean Society for Aviation and Aeronautics, 29(4), 124-133. https://doi.org/10.12985/ksaa.2021.29.4.124
  • Kocatepe, A., Ozkul, S., Ozguven, E. E., Sobanjo, J. O., & Moses, R. (2020). The value of freight accessibility: a spatial analysis in the Tampa Bay region. Applied Spatial Analysis and Policy, 13, 527-546. https://doi.org/10.1007/s12061-019-09314-6
  • Leavy, P. (2022). Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. Guilford Publications.
  • Maggi, R., & Rudel, R. (2008). The value of quality attributes in freight transport: evidence from an SP-experiment in Switzerland. In Recent Developments in Transport Modelling: Lessons for The Freight Sector (pp. 179-190). Emerald Group Publishing Limited. https://doi.org/10.1108/9781786359537-010
  • Masiero, L., & Rose, J. M. (2013). The role of the reference alternative in the specification of asymmetric discrete choice models. Transportation research part E: logistics and transportation review, 53, 83-92. https://doi.org/10.1016/j.tre.2013.03.001
  • Massiani, J. (2003). Benefits of travel time savings for freight transportation: beyond the costs.
  • Miao, Q. (2014). Measuring the value of time in highway freight transportation. Texas A&M University.
  • Pruzan, P. (2016). Research methodology: the aims, practices and ethics of science. Springer. https://doi.org/10.1007/978-3-319-27167-5
  • Ralph, P., & Wand, Y. (2009). A proposal for a formal definition of the design concept. In Design Requirements Engineering: A Ten-Year Perspective: Design Requirements Workshop, Cleveland, OH, USA, June 3-6, 2007, Revised and Invited Papers (pp. 103-136). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-92966-6_6
  • Rich, J., Holmblad, P. M., & Hansen, C. O. (2009). A weighted logit freight mode-choice model. Transportation Research Part E: Logistics and Transportation Review, 45(6), 1006-1019. https://doi.org/10.1016/j.tre.2009.02.001
  • Shams, K., Asgari, H., & Jin, X. (2017). Valuation of travel time reliability in freight transportation: A review and meta-analysis of stated preference studies. Transportation Research Part A: Policy and Practice, 102, 228-243. https://doi.org/10.1016/j.tra.2016.08.001
  • Shires, J. D., & De Jong, G. C. (2009). An international meta-analysis of values of travel time savings. Evaluation and program planning, 32(4), 315-325. https://doi.org/10.1016/j.evalprogplan.2009.06.010
  • Song, D. W., & Panayides, P. M. (2008). Global supply chain and port/terminal: integration and competitiveness. Maritime Policy & Management, 35(1), 73-87. https://doi.org/10.1080/03088830701848953
  • Winston, C. (1983). The demand for freight transportation: models and applications. Transportation Research Part A: General, 17(6), 419-427. https://doi.org/10.1016/0191-2607(83)90162-0
  • Zamparini, L., & Reggiani, A. (2007). Freight transport and the value of travel time savings: a meta‐analysis of empirical studies. Transport Reviews, 27(5), 621-636. https://doi.org/10.1080/01441640701322834
  • Zamparini, L., & Reggiani, A. (2007). Meta-analysis and the value of travel time savings: a transatlantic perspective in passenger transport. Networks and Spatial Economics, 7, 377-396. https://doi.org/10.1007/s11067-007-9028-5
  • Zhang, Z. (2018). Optimization of freight truck driver scheduling based on operation cost model for Less-Than-Truckload (LTL) transportation (Doctoral dissertation).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-325b86f3-d47f-4820-88e7-862123fe45e7
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.