Purpose – The purpose of this paper is to study the factors affecting the development of e-government by using a citizen-centric approach. Design/methodology/approach – This paper is a mixed-methods study consisting of qualitative and quantitative research. Data were collected from government agencies using a structured interview and questionnaire about e-government services. The research was collected from the people responsible for the management of an e-government project in 75 government agencies. In addition, the researcher collected data from 1,400 citizens by using an e-Survey questionnaire that grouped participants by age. Findings – By using a citizen-centric approach, the paper identified the factors affecting the development of e-government. There were five factors from the viewpoint of government agencies and citizen groups: quality of e-government services, policy and governance, information technology infrastructure, organization and economy and society. Research limitations/implications – The research covered the development patterns of e-government for services from government to citizens only. Practical implications – Seeing the importance of environmental factors for both service providers and service users would facilitate continuous improvement of e-government service provision by government agencies. Social implications – The results reflect citizens’ need for e-government services; quality is their priority. Hence, government agencies must consider the quality of the delivery of information and e-government services as they relate to the lifestyles and needs of citizens. Originality/value – The creation of knowledge from merging e-government concepts with citizen-centric principles is a modern government sector management theory. This research stresses the need for the government sector to see the need for e-government and to recognize the factors for its successful development. This means the design and development of e-government services should respond to the increasing needs of the citizens.

No abstract

The complexity and uncertainty of power sources connected to transmission networks need to be considered. Planners need information on the sustainability and economics of transmission network expansion planning (TNEP). This work presents a newly proposed method for TNEP that considers high-penetration solar energy by using the particle swarm optimization (PSO) algorithm. The power sources, thermal and hydropower plants, and conditions of load were set in the account, including an uncertain power source and solar energy (PV). The optimal sizing and locating of the PV to be connected to the network were determined by the PSO. The PV grid code was set in the account. The new line’s investment cost and equipment was analyzed. The PV cost was considered based on the power loss, and the system’s reliability was improved. The IEEE 118 bus test system and Lao PDR’s system were requested to test the proposed practice. The results demonstrate that the proposed TNEP method is robust and feasible. The simulation results will be applied to guide the power system planning of Lao PDR.