- E-government adoption and environmental bonuses: A study of Nigeria and United Kingdom
- Barriers to the uptake of E-procurement in the Nigerian building industry
- Factors influencing e-procurement adoption in the Nigerian building industry
- 5G Networks: Open Network Architecture and Densification Strategies For Beyond 1000x Network Capacity Increase
- Developing Smart Cities through Optimal Wireless Mobile Network
ABSTRACT: Against the backdrop of increasing adoption of e-Procurement in supply chain management, there is a need for adequate knowledge of the factors that influence the decision by organizations in the building industry to use e-Procurement. This study aims to fill the knowledge gap by investigating the factors influencing e-Procurement adoption based on the data sourced in a questionnaire survey involving 213 organizations in the building industry. The survey was conducted between June and November 2015 in Nigeria. Descriptive statistics, factor, and categorical regression analyses were used to analyze the data. The results show that the three most important factors influencing the adoption of e-Procurement amongst the participants, in order of importance, were: the benefits of e-Procurement in enhancing efficiency in project delivery; eliminating geographic barriers and effective communication among project team members. The 29 factors were investigated in seven different dimensions-the benefits of e-Procurement use; the level of awareness on e-Procurement in construction; and the availability and cost of e-Procurement applications emerged as the three most significant predictors of e-Procurement adoption in the survey. The study concludes by identifying strategies that should be engaged in increasing the uptake and maximizing the benefits of e-Procurement in the Nigerian building industry.
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ABSTRACT: Against the backdrop of increasing adoption of e-Procurement in supply chain management, there is a need for adequate knowledge of the factors that influence the decision by organizations in the building industry to use e-Procurement. This study aims to fill the knowledge gap by investigating the factors influencing e-Procurement adoption based on the data sourced in a questionnaire survey involving 213 organizations in the building industry. The survey was conducted between June and November 2015 in Nigeria. Descriptive statistics, factor, and categorical regression analyses were used to analyze the data. The results show that the three most important factors influencing the adoption of e-Procurement amongst the participants, in order of importance, were: the benefits of e-Procurement in enhancing efficiency in project delivery; eliminating geographic barriers and effective communication among project team members. The 29 factors were investigated in seven different dimensions-the benefits of e-Procurement use; the level of awareness on e-Procurement in construction; and the availability and cost of e-Procurement applications emerged as the three most significant predictors of e-Procurement adoption in the survey. The study concludes by identifying strategies that should be engaged in increasing the uptake and maximizing the benefits of e-Procurement in the Nigerian building industry.
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ABSTRACT: Against the backdrop of increasing adoption of e-Procurement in supply chain management, there is a need for adequate knowledge of the factors that influence the decision by organizations in the building industry to use e-Procurement. This study aims to fill the knowledge gap by investigating the factors influencing e-Procurement adoption based on the data sourced in a questionnaire survey involving 213 organizations in the building industry. The survey was conducted between June and November 2015 in Nigeria. Descriptive statistics, factor, and categorical regression analyses were used to analyze the data. The results show that the three most important factors influencing the adoption of e-Procurement amongst the participants, in order of importance, were: the benefits of e-Procurement in enhancing efficiency in project delivery; eliminating geographic barriers and effective communication among project team members. The 29 factors were investigated in seven different dimensions-the benefits of e-Procurement use; the level of awareness on e-Procurement in construction; and the availability and cost of e-Procurement applications emerged as the three most significant predictors of e-Procurement adoption in the survey. The study concludes by identifying strategies that should be engaged in increasing the uptake and maximizing the benefits of e-Procurement in the Nigerian building industry.
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ABSTRACT: The key advantages of the 5G network include among other things a 1000x capacity increase in the available network capacity. This increase will support the Internet of things and also the Device to Device communication architecture. However, the increased network capacity provided by the 5Gcommunications standards comes with the high cost of infrastructure. The high attenuation faced by mmWaves in the proposed 5G spectrum restricts the 5G network deployments to femtocells. This cell size increases the densification of the network resulting in very high infrastructure cost for the operators. This paper presents a network topology capable of minimizing the deployment costs of the 5G networks and at the same time increasing the network capacity by several factors beyond the 1000x capacity increase currently being proposed by the 5G network. This architecture relies on the use of collocation strategies, centralized system network planning, and a cloud-based MSC and HLR/VLR database system. With this approach, a single third party provides the MSC and database service while each operator controls their dedicated BSC and BTS. The traffic from users of a given operator is transmitted using the operator’s infrastructure and bandwidth. When the operator’s capacity is exhausted, the traffic is routed through the infrastructure of the next operator and the revenue from the traffic is shared between the operators. This system, however, gives priority to the original customers of the operator and only transmit traffic from other customers if the second operator has the excess unused capacity. The centralized network planning makes the channels from each operator available at each cell. This increases the available capacity of the network to greater than 1000x and improves user experience and spectrum utilization.
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ABSTRACT: Wireless mobile communication has become the interconnecting technological platform through which seamless services of data, voice and other value-added services can be deployed within local, national and global platforms. As a means to integrating smart services, the mobile network must be efficient in terms of coverage and quality of service. This paper, therefore, investigates large-scale propagation models used to predict the signal strength with the aim of providing sufficient data required for radio frequency planning and optimization, which will engender flawless mobile network integration and consequently improved quality of service. Data analysis and optimization were carried out using the Root Mean Square statistical tool for which the COST231 model was optimized to ensure proper mobile network planning and improved quality of service.
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