Global Journal of Management and Business Research, A: Administration and Management, Volume 21 Issue 12

Table 1: Attributes for assessing logistics performance in transport Attributes Définition Authors The delivery time Also called "cycle time", this is the duration of a delivery cycle from receipt of the order to delivery of the goods Wang and al. (2010), Roques (2014) Reliability of transport It corresponds to the ability to correctly deliver the right product, to the right place, on time, under the required packaging conditions, in quantity, in documentation and to the right customer. Morana and Pinardi (2003), Butner and Moore (2006) Availability of transport It represents the ability to deliver products according to needs, on time and under expected conditions, under penalty of causing stockouts for the customer. The commercial risk can then lead the customer to cancel orders, or to detach himself from the carrier in the event of non-availability of the products. Grand (1997), De Beaumont (1994). Transport quality and compliance the orders delivered must comply with customer requests and must not include any errors, resulting in particular from their preparation. Likewise, the products must be delivered according to the rules inspired by their characteristics: respect for the cold chain for temperature-controlled products, or even respect for stability for fragile products. Grand (1997) De Beaumont (1994). Source: ourselves In the transport sector, offering quality service at a lower cost is a major issue and represents a permanent challenge for service providers in this sector of activity. Efficient customer service in terms of cost, time and quality of service is thus presented as an essential asset to guarantee a stable and lasting presence of the freight carrier on the market and generate added value for shippers, by allowing them to'' also achieve their own goals with greater efficiency. II. T heories e xplaining the l ogistics p erformance of t ransport P roviders Many authors link the logistical performance of these service providers to the logistical resources, skills and capacities available to them (Karia and Wong, 2013; Aziz and al., 2015; Alkhatib and al., 2015; Karia and al., 2015; Zawawi and al., 2016; Kuo and al., 2017; Zawawi and al., 2017; Hamed, 2019). This approach to logistics performance leads us to consider the resource theory of Wernerfelt (1984) and Barney (1991), the theory of central skills of Hamel and Prahalad (1990) and that of dynamic capacities of Teece and al. (1997), to advance the idea that these assets are the determinants of the strategic behavior and performance of the freight carrier. For these authors, what gives a company a competitive advantage are its assets (resources, skills and capabilities) and its ability to combine them to produce superior performance. a) The contribution of resource theory The theory of resources has gradually entered the logistics literature. A number of research works have identified and analyzed the strategic resources for LSPs, as well as their effects on their logistics performance (Chiu, 1995; Panayides, 2007; Lai and al., 2008; Yang and al., 2009; Karia and al., 2012; Karia and Wong, 2013). Indeed, in the complex and competitive logistics sector, it is essential for PSLs to have access and be able to combine and develop the right resources, in superior logistics performance. Drawing on the work of Mentzer and al. (2004) and RBV, Karia and Wong (2013) developed a theoretical model of the logistics resources and capacities of LSPs, which they called the theory of logistics resources, also known as “Resource-Based Logistics”. (RBL), which determine the logistics performance of LSPs. According to the categorization made by Alkhatib and al. (2015), logistics resources can be subdivided into tangible and intangible resource groups, as shown in Table 2 below: 49 Global Journal of Management and Business Research Volume XXI Issue XII Version I Year 2021 ( ) A © 2021 Global Journals Logistics Performance in the Freight Transport Sector: Towards the Development of a Research Model