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© 2024 by the authors; licensee Eastern Centre of Science and Education, USA 

 

Asian Business Research Journal 
Vol. 9, 135-140, 2024 
ISSN: 2576-6759 
DOI: 10.55220/25766759.232 
© 2024 by the authors; licensee Eastern Centre of Science and Education, USA 

 
 

 

 
Effect of Fleet Vehicle Tracking on Operational Performance of Road Transporters 
in Mombasa County 

 
Nancy N. Kinyua1

  
Wickliffe Arani2 
Mathew M. Egessa3 
 

 
 
 

1Department of Management Science, Technical University of Mombasa, Kenya. 
Email: nancykinyua593@gmail.com  
2Multimedia University, Malaysia. 
Email: Arani@mail.com  
3Technical University of Mombasa, Kenya. 
Email: Egessa@mail.com  
( Corresponding Author) 

 
Abstract 

This study examines the effect of vehicle tracking on the operational performance of road 
transporters in Mombasa County. Effective fleet management, and specifically vehicle tracking, is 
essential for optimizing resources, reducing costs, and improving efficiency in transportation 
operations. Guided by the Technology Diffusion Theory, the study employs a descriptive research 
design and targets 250 registered road transport companies in Mombasa County, selecting a 
sample of 154 participants through stratified random sampling. Data were collected using 
structured questionnaires and analysed with descriptive and regression techniques. The findings 
indicate that vehicle tracking significantly enhances operational performance, evidenced by a 
positive unstandardized coefficient of 0.459 and a p-value of 0.000. Key practices, including speed 
monitoring, route management, and real-time vehicle dispatch tracking, were identified as crucial 
contributors to this improved performance. The study concludes that vehicle tracking systems 
foster accountability, decrease fuel consumption, and boost overall productivity. 
Recommendations include the implementation of advanced GPS tracking technology, regular 
maintenance of tracking systems, and comprehensive staff training to maximize the benefits of 
vehicle tracking for operational efficiency. This research enhances the understanding of how 
technology can be utilized to tackle challenges in fleet management, particularly in developing 
regions. 

 
Keywords: Fleet management, GPS tracking, Operational performance, Road transporters, Vehicle tracking, Logistics. 

 
1. Introduction 

Fleet management plays a pivotal role in optimizing the use of resources, minimizing transportation costs, and 
ensuring regulatory compliance for businesses that depend on transportation. It incorporates various practices such 
as maintenance, fuel management, vehicle replacement, safety management, and driver oversight to enhance 
operational efficiency and agility. By addressing challenges like mechanical faults, safety risks, and inefficient 
logistics systems, fleet management aims to boost customer satisfaction and organizational performance. Rojas et 
al. (2020) noted that fleet management has resulted in a large number of American enterprises that primarily 
depend on transportation to minimize or eliminate the risk associated with human expenditures and procedures. 
Real-time fleet tracking is one feature of fleet management that can save fuel and overhead expenses while also 
enhancing safety and monitoring (Cronbach, 2021). 

Fleet management entails making sure that a fleet's use of resources, total transportation costs, and regulatory 
compliance are all at their best. It is a crucial component of logistics operations. Increasing revenue, enhancing 
customer satisfaction, and giving a fleet more agility, all depend on these actions. Various fleet management 

practices, including maintenance, fuel management, vehicle replacement (Milenković, Knežević, & Bojović, 2020), 
safety and vehicle drivers’ management (Sun et al., 2021), and vehicle routing (Makarova, Gabsalikhova, & 
Gritsenko, 2020; Adam, 2020), can be included in fleet management (FM). With a large number of vehicles 
operating along distribution networks with numerous mechanical faults, which endangers the supply chain and 
impairs organizational performance, the fleet management function is not doing well globally. According to 
Chiparo et al. (2022), companies should incorporate car maintenance into their business strategy holistically to 
enable them to react swiftly to the needs of their clients. 

In the Ghanaian transport sector within the Kumasi metropolis, Aflabo, Kraa, and Agbenyo (2020) evaluated 
the effect of fleet management practices on competitive advantage. They discovered that while vehicle tracking has 
an inverse relationship with competitive advantage, repair and maintenance, fuel and driver management, and 
training have positive effects. Vehicle and driver tracking, asset management, efficient communication, time and 
driver management, post-sale services, and customer relationship management are essential elements of fleet 
management (Amaya & Abdullah, 2021). A number of elements are taken into consideration by fleet management, 
such as asset tracking, speed management, fuel management, health and safety management, driver scheduling and 
rostering, vehicle finance, maintenance, and telematics. Fleet management's primary goals are to reduce personnel 

mailto:nancykinyua593@gmail.com
mailto:Arani@mail.com
mailto:Egessa@mail.com
https://www.doi.org/10.55220/25766759.232


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and transportation costs, increase productivity and efficiency, and successfully mitigate the risks connected with 
vehicle operation. 

Abdirahman et al. (2024) outlines the limitations of the vehicle tracking system in Ethiopia, which include a 
shortage of vehicles for transporting goods, a poorly functioning logistics system that hinders market potential, a 
high incidence of traffic accidents, particularly in relation to goods transport, and congestion in cities and at entry 
and exit points. 

Fleet management is integral to logistics operations, offering numerous benefits such as cost reduction, 
increased productivity, and risk mitigation. However, challenges persist, such as mechanical faults, inefficient 
logistics systems, and traffic congestion, as noted in various studies. By integrating practices like vehicle tracking, 
maintenance, and driver management into a holistic strategy, businesses can strengthen their supply chain 
performance and competitive advantage. Addressing these challenges, particularly in regions like Ghana and 
Ethiopia, can further enhance the overall effectiveness of fleet management in fostering sustainable growth. 
 

2. Literature Review 
2.1. Technology Diffusion Theory  

Technology diffusion theory, developed by Rogers (1962), focused on appreciating the manner in which 
innovation and technology diffuse within a social pattern. It explains how, why, and the rate at which a product, 
service, or process spreads through a population or social system. The process of making innovative decisions 
consists of five steps: knowledge, persuasion, decision, implementation, and confirmation. The rate at which vehicle 
tracking technology spreads among road transporters can be explained through technology diffusion theory. In 
technology diffusion theory, it’s not individuals who adjust, but the innovations in which changes occur in fleet 
management among the road transporters (Masumbuko & Phiri, 2024). 

Diffusion is the process through which certain channels of modernization are transmitted over a period of time 
amongst the social system members (Kurt, 2022). According to him, diffusion is the manner by which a technology 
diffuses through a society of fleet management. Therefore, diffusion as a concept implies the dissemination of 
technology from a focal point or organization in the society to other areas of that particular group. Despite its wide 
application and acceptance, criticisms of technology diffusion theory are evaluated by components of the theory 
that should be developed and adjusted before being applied in technology transformation. 

Alabbasi and Sandhu (2021) found that an innovation does not necessarily need to experience various phases of 
reception for a person to adjust to it as proposed by the hypothesis. At times adoptions were conveyed in dyadic 
relationships, and it was very hard to identify the stages of adoption. Want, (2006) Created a system that tracks 
and monitors automobiles in the cold chain using RFID technology. The influence of vehicle tracking on road 
carriers' operational efficiency is explained using the principles of radio frequency identification, or RFID. In fleet 
management, a decision support system that makes use of RFID technology to supervise, trace, and monitor items 
was presented. From the perspective of shippers, Amankwah-Sarfo (2020) looked at the critical factors that affect 
the acceptability of a container security service that uses RFID technology and auto-detection.  

Another option relies on cellular infrastructure. Cellular infrastructure is leveraged by network overlay 
systems to pinpoint the exact position of automobiles. In order to determine the exact location of the cars, the cell 
centers use additional hardware and software to assess the time of arrival (TOA) and angle of arrival (AOA) of 
radio signals sent by the vehicles. This data is transmitted to the tracking center using a regular link or a cellular 
connection. Another method employed for determining the location of automobiles involves calculating the time 
discrepancy between signals transmitted from two cellular towers and received by the vehicle. This theory explains 
the use of technology in modern vehicle tracking. At present, the majority of road transporters are utilizing GPS-
enabled devices to monitor vehicles during transit. The GPRS tracker keeps track of the vehicles' speed and 
whereabouts around the clock. 
 
2.2. Conceptual Framework 

Vehicle tracking is the process of tracking a moving vehicle by using smart tags or barcode scanning. Vehicle 
tracking is possible with devices that integrate satellite or cellular network technology with the Global Positioning 
System (GPS). The way the vehicle tracking system is designed makes it easier to manage the entire fleet by 
keeping track of all the goods and tangibles that are loaded into or assigned to drivers. Information systems used to 
coordinate and route services in the field have a positive effect on a fleet's performance and regular growth, claim 
Milenkovic, Milos, & Bojovic (2020).  

The fields of logistics and transport commonly employ vehicle tracking, primarily for theft prevention. These 
systems utilize GPS technology to deliver accurate and continuous location telemetry to fleet management. These 
systems usually come with capabilities that can track statistics such as fuel usage, average speed, current driver 
time, and position. Rules imposing stricter limits on the number of hours’ drivers can work in a single day have 
recently led to a surge in demand for this technology (Smilowitz & Balcik, 2021). 

Automobile manufacturing technology has evolved to prioritize the development of features that enhance 
safety, comfort, and convenience rather than only focusing on fundamental transportation. The GPS application 
tracks the distance travelled during a journey, vehicle mileage, and speed. The system can maintain a log of driving 
activities, which includes the addresses of each destination, the names of the streets travelled, and the duration of 
the vehicle's stay at each site. This allows owners to monitor the usage of their vehicles by other drivers (Singh & 
Kathuria, 2021). 

However, fleet management has a significant effect on the operational performance of road transporters. It 
enables fleet managers and users to efficiently and effectively carry out their activities by utilizing technologies like 
the Internet and Global Positioning Systems (GPS). The administration of road transport, particularly fleet 
management, necessitates the utilization of sophisticated technology to enhance the transportation information 
system (Mehmood, 2021). 

The potential commercial advantages of vehicle tracking extend across all sectors of fleet management and 
types of vehicles. More asset management, better customer service, more efficient load placement, more accurate 
timesheets, and easier compliance with Working Time Directive regulations are the main advantages for haulage 
fleets. According to Mullani (2021), vehicle tracking systems have the potential to improve work planning and 
allocation for van fleets, resulting in higher staff productivity. 



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Figure 1. Conceptual framework. 

 
The conceptual framework in Figure 1 demonstrates the relationship between fleet vehicle tracking and 

operational performance. Fleet vehicle tracking encompasses key practices such as monitoring speed limits, 
optimizing vehicle routing, and effective dispatching. By ensuring vehicles operate within designated speed 
parameters, organizations can improve safety, reduce fuel consumption, and enhance overall efficiency. Vehicle 
routing focuses on identifying the most optimal routes to minimize travel time, reduce transportation costs, and 
ensure timely deliveries. Additionally, dispatching ensures effective coordination of vehicle assignments, enabling 
timely operations and improved resource utilization. 

These fleet tracking practices are designed to enhance operational performance, which is measured through key 
outcomes such as profitability, cycle time, and customer satisfaction. Profitability is achieved through cost 
reductions and improved operational efficiency, while shorter cycle times result from streamlined processes and 
reduced delays (Ochoki et al., 2023). Moreover, enhanced vehicle tracking contributes to improved customer 
satisfaction by ensuring timely deliveries and consistent service quality. Overall, the framework highlights how 
effective fleet vehicle tracking can positively influence operational performance, leading to greater organizational 
success. 
 
2.3. Empirical Review 

The effect of fleet management on a transport business that manages Taiwan's biggest shipping line is 
examined by Begashaw and Temesgen (2019). This business is a division of a well-known food and retail 
conglomerate, which is Taiwan's largest chain store group. The research is empirical in character. In order to 
increase the company's competitiveness in the market and achieve the objectives set by the company, the case 
serves as a point of reference for the unsuccessful results of introducing electronic operations and systems. It was 
anticipated that the company's operating efficiency would rise as a result of these solutions. The study found that 
GPS-based fleet management solutions are extremely important for the logistics industry, especially for 
transportation companies. These systems allow for commodity distribution monitoring and tracking, resulting in 
energy savings. Furthermore, the solutions also enhance scheduling, operational efficiency, and effectiveness. The 
significance of fleet management systems has made their successful implementation a crucial concern (Bask et al., 
2019). 

Besiou, Pedraza Martinez, and Van Wassenhove (2022) asserted that initial fleet management systems had 
basic features, such as vehicle tracking components. These systems have transformed into planning tools due to 
increased management sophistication. The functionality of vehicle tracking and vehicle maintenance systems differs 
from that of fleet management. Fleet management includes the oversight of vehicle usage and maintenance, as well 
as the coordination and dissemination of tasks and relevant information to address the complex challenges of 
scheduling and routing vehicles (Belachew, 2022). Vehicle tracking, fleet management, and monitoring widely 
utilize GPS technology products. To achieve optimal utilization and quick responses to customer demands, the 
existing asset management systems require continuous monitoring and interaction with fleet vehicles using 
advanced technology. Effectively managing a fleet of vehicles requires skillful navigation of increasing fuel prices, 
escalating maintenance expenses, and crucial safety considerations, all while maintaining a steadfast dedication to 
providing exceptional customer service (Chaharbaghi et al., 2021). 

Begashaw and Temesgen (2019) assert that utilizing a vehicle tracking system enables customers to effectively 
manage their expectations and adjust their delivery times, thereby assisting fleet management in efficiently 
planning their deliveries. We evaluate fleet management based on its capacity to enhance firms' efficiency and 
profitability. Ambrisko and Teplicka (2021) acknowledged the significance of an efficient vehicle maintenance 
strategy as a crucial factor for the successful operation of transportation-related functions. In order to ensure 
optimal performance, it is imperative that fleet maintenance and management procedures incorporate effective 
tactics into their daily operations. This should involve the efficient allocation and management of resources to 
enable road transport companies to achieve a competitive edge. The biggest issue in fleet management practices 
among road transporters is the lack of a maintenance scheme that guarantees the efficiency, productivity, and safety 
of vehicles and drivers (Chikwere & Kanyepe, 2020). 
 

3. Methodology 
The study employs a descriptive research design to explore the nature and impact of fleet management on 

organizational performance, specifically within the telecom sector as a case study. Descriptive research, as defined 
by Shane (2023), aims to assess the current state of a phenomenon and its relationship with specific components or 
conditions. The target population comprises 250 registered road transport companies in Mombasa County, Kenya, 
as identified by the Kenya Transporters Association (KTA). Stratified random sampling, which minimizes bias by 
giving each member an equal chance of selection, was used to determine the sample size. Based on Slovin’s 
Formula, the sample size for the study is calculated to be 154 participants, with respondents distributed 
proportionately across Mombasa sub-counties, targeting one driver or logistics manager from each firm. 



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Primary and secondary data were collected using self-administered questionnaires, designed with Likert scale 
and closed-ended questions for easier coding, tabulation, and data comparison. The questionnaire, divided into two 
sections, addresses the study objectives by gathering general participant information in Section A and exploring 
the effect of fleet management on productivity in Section B. This method is advantageous for collecting large 
volumes of data quickly and cost-effectively while preserving confidentiality and avoiding bias. To ensure 
comprehensive and unbiased responses, the questionnaire follows a funnel approach, starting with general 
questions before transitioning to specific ones related to the study’s variables. 
 

4. Research Findings  
4.1. Descriptive Results 

The first objective was to examine the effect of  Vehicle Tracking on operational performance. Vehicle 
Tracking was then established using the justification that a mean score of three in Likert scale represents neutral 
positions with the statement, mean score of less than three represents negative view of the statement and greater 
than three signifies a favourable view with the statement. The following was the range of interpretation for the 
mean score on the Likert scale: 1.0-2.4 (Disagree), 2.5-3.3 (Neutral), and 3.4-5.0 (Agree). Table 1 presents the 
results 
 

Table 1. Vehicle tracking descriptive statistics. 

 N Minimum Maximum Mean Std. deviation 

Vehicle tracking software for speed limit monitoring is 
applied by the organization 

122 1.0000 5.0000 3.918033 0.9924522 

The supervisor checks out the speed monitoring 
software hourly basis 

122 1.0000 5.0000 4.352459 0.8422925 

The speed limit gargets installed in the vehicle is 
serviced regularly 

122 1.0000 5.0000 3.786885 1.1224936 

The vehicles are fitted with GPRS gadgets to show the 
location 

122 1.0000 5.0000 4.090164 1.0523810 

The company sets pre-defined routes for every vehicle 
on transit 

122 1.0000 5.0000 4.155738 0.8909137 

Any deviation from pre-defined routes is properly 
authorized 

122 1.0000 5.0000 3.795082 1.0751784 

The organization has a systematic way of confirming 
validity of every vehicle dispatch 

122 1.0000 5.0000 4.000000 0.8528029 

The organization monitors any delay on vehicle 
dispatch 

121 2.0000 5.0000 4.107438 0.8041730 

The organization confirms if the recipient received the 
consignment on time 

122 3.0000 5.0000 4.016393 0.7494748 

Vehicle tracking 122 2.3333 5.0000 4.020947 0.6305380 
Valid N (Listwise) 121     

 
The descriptive statistics presented in Table 1 provide valuable insights into the effectiveness and application 

of vehicle tracking systems within an organization. The data encompasses responses from 122 participants 
regarding various aspects of vehicle tracking, measured on a scale from 1 to 5, where 1 indicates strong 
disagreement and 5 indicates strong agreement. 

Respondents generally agree that the organization applies vehicle tracking software for monitoring speed 
limits, as reflected by a mean score of 3.92. The standard deviation of 0.99 indicates a moderate level of consensus 
among respondents, suggesting that while many believe this system is in place, some variability exists in their 
perceptions. Furthermore, there is strong agreement that supervisors check the speed monitoring software on an 
hourly basis, as indicated by a mean score of 4.35 and a standard deviation of 0.84. This finding highlights the 
diligent oversight and commitment to maintaining vehicle speed regulations within the organization. 

Regarding the regular servicing of speed limit gadgets, the mean score of 3.79 suggests that respondents 
somewhat agree that these gadgets are consistently maintained. However, the standard deviation of 1.12 indicates a 
wider range of opinions, implying that some respondents may feel this practice is not always enforced. 
Additionally, the mean of 4.09 indicates general agreement that vehicles are equipped with GPS gadgets to display 
their locations, although the standard deviation of 1.05 shows moderate variability in responses. This reflects a 
positive outlook on the organization’s capability to track vehicle locations. 

Respondents also strongly agree that the company sets pre-defined routes for vehicles in transit, as 
demonstrated by a mean score of 4.16 and a standard deviation of 0.89. This suggests that establishing operational 
procedures for routing is a standard practice within the organization. Conversely, a mean of 3.80 indicates some 
agreement that any deviation from these pre-defined routes is properly authorized. The standard deviation of 1.08 
shows variability in responses, suggesting differing views on the authorization process. 

The mean score of 4.00 indicates general agreement that the organization has a systematic approach to 
confirming the validity of vehicle dispatches, with a standard deviation of 0.85 suggesting consistency in responses. 
Additionally, a mean of 4.11 reflects strong agreement that the organization monitors delays in vehicle dispatches, 
although a lower sample size of 121 indicates that this aspect may have been less frequently reported. Respondents 
also agree that the organization confirms whether recipients receive their consignments on time, with a mean score 
of 4.02 and a standard deviation of 0.75 indicating a relatively consistent response regarding this area of vehicle 
tracking. 

Generally, the vehicle tracking practices within the organization are viewed positively, as indicated by the 
overall mean score of 4.02. This suggests that respondents generally perceive the systems and procedures in place 
as effective, with a standard deviation of 0.63 showing low variability, which indicates that most respondents share 
similar views. In summary, the descriptive statistics reveal that the organization has established strong vehicle 
tracking practices, particularly regarding speed monitoring and route management. While respondents generally 
agree on the effectiveness of these practices, some areas, such as the regular servicing of speed limit gadgets and 
the authorization of route deviations, show variability in opinions. The results are in line with Ambrisko and 



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Teplicka (2021) who acknowledged the significance of an efficient vehicle maintenance strategy as a crucial factor 
for the successful operation of transportation-related functions. This suggests potential opportunities for 
improvement in these areas. Overall, the data indicate a well-implemented vehicle tracking system that contributes 
to operational efficiency and accountability within the organization. 
 
4.2. Regression Analysis and Hypothesis Testing 

The Table 2 below presents the results of a regression analysis examining the effect of vehicle tracking on 
operational performance. The analysis includes unstandardized coefficients, standardized coefficients, t-values, and 
significance levels to evaluate the relationship between the independent variable (vehicle tracking) and the 
dependent variable (operational performance). 

 
Table 2. Regression coefficients. 

Model Unstandardized coefficients Standardized coefficients t Sig. 
B Std. error Beta 

1 
(Constant) 0.858 0.300  2.860 0.005 
Vehicle tracking 0.459 0.058 0.532 7.953 0.000 

Note:  a. Dependent variable: Operation performance. 

 
Vehicle Tracking indicates a significant positive effect on Operation Performance, with an unstandardized 

coefficient of 0.459. This means that for every unit increase in Vehicle Tracking, the Operation Performance 
improves by 0.459 units, holding all other variables constant. Its standardized coefficient (Beta) of 0.532 further 
highlights its dominant role among the variables. With a t-value of 7.953 and a p-value of 0.000, the relationship 
between Vehicle Tracking and Operation Performance is not only strong but highly statistically significant. These 
findings are in line with Begashaw and Temesgen (2019) who asserted that vehicle tracking system enables 
customers to effectively manage their expectations and hence significantly influence operational performance. 
 
H01: Vehicle tracking has no significant effect on operational performance of road transporters in Mombasa County 
 

The null hypothesis, H01 show that vehicle tracking has no significant effect on operational performance of 
road transporters was rejected. Implying that the effect of vehicle tracking affects the operational performance of 
road transporters in Mombasa County. These findings agree with the findings of Adebayo and Aworemi, (2021) 
who found that there is relationship between vehicle tracking and fleet management on operational performance in 
Yagba West of Kogi State, Nigeria. 
 
4.3. Discussion of Study Findings 

From the analysis of the study findings, it was noted that most of the respondents agreed that the organization 
applies vehicle tracking software for monitoring speed limits, as reflected by a mean score of 3.92. There is strong 
agreement that supervisors check the speed monitoring software on an hourly basis, as indicated by a mean score of 
4.35 and a standard deviation of 0.84. The findings of the study showed that the regular servicing of speed limit 
gadgets, which was calculated and resulted in a mean score of 3.79 with a standard deviation of 1.12, indicates a 
wider range of opinions, implying that some respondents may feel this practice is not always enforced. The findings 
of this thesis showed that the respondents strongly agree that the company sets pre-defined routes for vehicles in 
transit, as demonstrated by a mean score of 4.16 and a standard deviation of 0.89, which suggested that 
establishing operational procedures for routing is a standard practice within the organization. Testing the 
hypothesis H01 indicated that vehicle tracking does not have a substantial impact on the operational performance 
of road transporters in Mombasa. These results are consistent with the findings of Adebayo and Aworemi, (2021), 
demonstrating a link between vehicle tracking and fleet management with operational performance. 
 

5. Conclusion and Recommendations  
Establishing the effect of vehicle tracking on the operational performance of road transporters in Mombasa 

County was the primary goal of this research project. From the finding of the research study, it was found that the 
company uses vehicle tracking software to assure efficiency and vehicle routing to regulate fuel consumption rate. 
The respondent said that an annual budget should be set aside for the upkeep and purchase of vehicle monitoring 
software so that the company can quickly address issues with vehicle tracking. The findings were noted that the 
company should provide training on fleet management through the use of vehicle tracking software and that using 
this software will increase accountability. The company uses cutting-edge GPS car tracking technology, allowing it 
to monitor the speed limit. With a mean of 4.71 and a standard deviation of 0.714, the respondents also concurred 
that the firm has installed vehicle tracking systems on all road transportation vehicles and designated a person to 
oversee and administer the GPS tracking system. 

Based on the study’s findings, the study concluded that organizations’ fuel management systems work well 
when it uses vehicle tracking and monitoring software and this boosted the overall job productivity on operational 
performance of road transporters in Mombasa County. Based on the findings and conclusion of this thesis, the 
following recommendations were made: The research study recommended that the transportation department 
management in Mombasa County should implement vehicle tracking systems to enable the organizations’ fleet 
managers to monitor speed limits through the GPS tracking. These systems should be permanently assigned to a 
person to monitor the speed limits of the road transporters online. 
 

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