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This paper aims to introduce a European project CEES to develop a standard for the evaluation of Electronic Government (e‐Government) services from a citizen satisfaction perspective.

The aim, objectives, methodology, and deliverables of the project CEES are detailed. Furthermore, the challenges of the development of a reference process model in different countries are addressed and academic and practical implications of the project for the citizen‐oriented evaluation of e‐Government services are discussed.

A reference process model for the evaluation of e‐Government services from a citizens' perspective receives strong support from experiences in other similar areas such as software process and information systems governance. The reference model needs to overcome such challenges as the differences in culture, the maturity of e‐Government systems, and citizens‐government relationships.

The research is expected to trigger international collaboration to develop international standards for the evaluation of e‐Government services.

The paper contributes to the literature by enriching the views on e‐Government services and their evaluation via introducing a reference model concept. The CEES project will be the first attempt to apply the reference model concept in the information systems evaluation domain. Despite the wide adoption of reference models in software process, software design, and business process automation, the concept is yet to be applied to the IS evaluation domain.

Evaluating and optimizing e‐government services is imperative for governments especially due to the capacity of e‐services to transform public administrations and assist the interactions of governments with citizens, businesses and other government agencies. Existing widely applied evaluation approaches neglect to incorporate citizens' satisfaction measures. The purpose of this paper is twofold: to contribute to the understanding of citizen‐centric e‐government evaluation and unify existing key performance indicators (KPIs); and to propose a reference process model of a novel evaluation approach that uses the unified KPIs to facilitate the creation of a “know‐how” repository.

The authors adopt a quantitative research approach for the evaluation of e‐government services that is based on data envelope analysis (DEA). A survey was conducted for the empirical investigation and data were collected from 13 e‐government services in Turkey. Based on the empirical application of the e‐government evaluation method, a reference process model is designed.

The proposed evaluation method was proved valid and able to provide assessment with richer explanations than traditional statistical measurements. DEA enabled the identification of insufficient e‐government services and the provision of suggested improvements.

The reference process model is constructed based on the experience gained by applying the method to a sole cultural setting;, i.e. e‐government services in Turkey.

The proposed evaluation method, in comparison to other user‐oriented ones, provided assessments with richer explanations than traditional statistical measurements, such as structured equation modelling. The reference process model constructed based on the empirical research is expected to accelerate the citizen‐oriented evaluation of e‐government and promote impact‐oriented indicators.

This is the first application of DEA in the e‐government field, although it has been widely applied for performance measurement in other fields, especially operations research. The novelty of DEA is that the assessment results provide suggestions for strategic improvement of the e‐services.

The purpose of this paper is to analyse the research design, methodologies and approaches utilised in electronic government (e‐government) research studies published in the last decade (2000‐2012).

A profiling approach is employed to analyse 114 (out of 3,934 from 2000 to 2012) e‐government publications (with specific focus on user satisfaction) including examining variables such as country of research, sample size, type(s) of respondents, data collection methods, and statistical tools and techniques employed.

Among the research design, methodologies and approaches adopted in the extant e‐government research studies, the quantitative research based approach supported by statistical analysis was the most dominant approach applied by authors in the last decade. Few studies were found to use qualitative‐based approaches such as case studies and interviews.

The prime value and uniqueness of this research lies in presenting the type of research design, methodologies and approaches used in studies that focus on issues surrounding user satisfaction in e‐government research. This has been achieved by synthesising existing publications in Electronic Government: An International Journal (EG), Electronic Journal of Electronic Government (EJEG), International Journal of Electronic Government Research (EJEGR), Transforming Government: People, Process and Policy (TG:PPP), Government Information Quarterly (GIQ), Public Administration Review (PAR), Public Administration: An International Quarterly (PA), Journal of Public Administration Research and Theory (JPART), and Local Government Studies (LGS).

This study aims to provide a systematic review about the Internet of Things (IoT) and its impacts on happiness. It intends to serve as a platform for further research as it is sparse in in-depth analysis.

This systematic review initially observed 2,501 literary articles through the ScienceDirect and WorldCat search engines before narrowing it down to 72 articles based on subject matter relevance in the abstract and keywords. Accounting for duplicates between search engines, the count was reduced to 66 articles. To finally narrow down all the literature used in this systematic review, 66 articles were given a critical readthrough. The count was finally reduced to 53 total articles used in this systematic review.

This paper necessitates the claim that IoT will likely impact many aspects of our everyday lives. Through the literature observed, it was found that IoT will have some significant and positive impacts on people's welfare and lives. The unprecedented nature of IoTs impacts on society should warrant further research moving forward.

While the literature presented in this systematic review shows that IoT can positively impact the perceived or explicit happiness of people, the amount of literature found to supplement this argument is still on the lower end. They also necessitate the need for both greater depth and variety in this field of research.

Since technology is already a pervasive element of most people’s contemporary lives, it stands to reason that the most important factors to consider will be in how we might benefit from IoT or, more notably, how IoT can enhance our levels of happiness. A significant implication is its ability to reduce the gap in happiness levels between urban and rural areas.

Currently, the literature directly tackling the quantification of IoTs perceived influence on happiness has yet to be truly discussed broadly. This systematic review serves as a starting point for further discussion in the subject matter. In addition, this paper may lead to a better understanding of the IoT technology and how we can best advance and adapt it to the benefits of the society.

The purpose of the paper is to investigate the empirical linkages between information and communication technologies (ICTs), digital inclusion and sustainable development. This research aims to address a gap in the existing literature by exploring how ICT policies and digital inclusion efforts contribute to sustainable development outcomes across countries in developed and developing regions. Governments around the globe are increasingly relying on ICT policies to promote development in societies. Specifically, access and use of ICTs have been found to promote sustainable development across countries. Studies further argue the need for countries to bridge the digital divide to reap the full benefits of sustainable development. However, the empirical linkages between ICTs, digital inclusion and sustainable development have seldom been explored. This study is conducted to fill this gap in the literature.

This study relies on the capability approach and archival data for 130 countries from the network readiness index for 2021 to examine the nexus between ICTs, digital inclusion and Sustainable Development Goals (SDGs), using partial least squares structural equation modelling to validate the study’s hypotheses.

Findings show the positive effects of ICT access and ICT usage on digital inclusion. Digital inclusion was found to be significantly associated with SDGs. Furthermore, mediating effect results show the significant effect of digital inclusion on the nexus between ICT access and SDGs as well as ICT usage and SDGs.

To theory, this study uniquely shows through the capability approach how access and use of ICTs empower individuals to engage in information accessibility, sharing and communication and how it promotes safe and sustainable societies to achieve SDG11. To research, this study’s outcomes provide new insights into the links between ICTs, digital inclusion and SDG11. Unlike past studies investigating the nexus between ICTs in general and SDGs, this study shows how ICT access and use propels digital inclusion and SDG11.

This paper examines the impact of Russian invasion of Ukraine on the intraday efficiency of four major energy markets, namely, diesel oil, Brent oil, light oil and natural gas.

This study applies the multifractal detrended fluctuation analysis (MFDFA) to high-frequency returns (30-min intervals) for the period from October 21, 2021, to May 20, 2022. The data sample of 5,141 observations is divided into two sub-samples, before and after the invasion of 24th February 2022. Additionally, the magnitude of long memory index is employed to investigate the presence of herding behavior around the invasion period.

Results confirm the presence of multifractality in energy markets and reveal significant changes of multifractal strength due to the invasion, indicating a decline of intraday efficiency for oil markets. Surprisingly, the natural gas market, being the least efficient before the invasion, turns out to be more efficient after the invasion. The findings also suggest that investors in these energy markets are likely to show herding, more prominently after the invasion.

The multifractal patterns, in particular the long memory property of energy markets, can help investors develop profitable investment strategies. Furthermore, the improved efficiency observed in the natural gas market, after the invasion, highlights its unique traits and underlying complexity.

This study is the first attempt to assess the impact of the Russia–Ukraine war on the efficiency of global commodity markets. This is quite important because the adverse effects of the war on financial markets may potentially cause destabilizing outcomes and negative effects on social welfare on a global scale.

This study aims to delve into the intricate dynamics within local government authorities in Ghana, exploring the mediating role of political interest in the relationship between internal control systems and financial management.

Using a hypothesized model grounded on the accountability theory and survey data from 701 respondents across local government authorities in Ghana, this study used Partial Least Squares Structural Equation Modeling as the data analysis approach.

The findings indicate that internal control systems have a positive influence on financial management. In addition, political interest was found to significantly mediate the relationship between internal control systems and financial management.

The study was, however, limited by the reliance on survey data obtained from the respondents. Although this study used survey data, it was not feasible to cover the entire country because this study was constrained by resources and time. Future studies may therefore explore same linkages by considering the entire country and adding other moderating variables to examine the nexuses. Future research could explore the subcomponents of internal control systems, including the control environment, control activities, risk assessment, monitoring of controls and information and communication in financial management. This would offer a nuanced understanding of how each dimension contributes to effective financial management.

This study offers two crucial contributions from a practical standpoint. This is accomplished by first allowing practitioners and decision-makers to understand the effects of political interest on organisation’s internal control system and financial management. This information can help practitioners and policymakers develop better systems that will reduce the mediating effects of political interest on the linkage between the internal control system and financial management in the local government authorities. In addition, policymakers will be better informed on how to enact legislation, specifically including sections of autonomous operations by these public agencies in the country, which can be undermined by external pressures or the ruling party.

To the best of authors’ knowledge, this research is the first to investigate such a phenomenon in a developing country context, such as Ghana, and it provides insights into why some local government authorities with seemingly robust internal control systems struggle with financial management issues.

This study aims to examine the impact of logistics performance and technological innovation on environmental quality in Africa, focusing on carbon dioxide (CO2) emissions and renewable energy consumption as indicators of environmental quality.

The study employs a panel data analysis of 43 African countries over the period 1990–2021. Data on logistics performance, technological innovation, CO2 emissions, and renewable energy consumption are sourced from the World Development Indicators database of the World Bank. Grounded in the Triple Bottom Line (TBL) framework, which integrates economic, social and environmental dimensions of sustainability, the analysis utilises the generalised method of moments (GMM) technique to address the issue of endogeneity.

The regression results reveal significant relationships between logistics performance, technological innovation and environmental quality indicators. Logistics performance demonstrates a negative impact on CO2 emissions, while technological innovation positively influences renewable energy consumption. The interactive effect of logistics performance and technological innovation mitigates CO2 emissions, aligning with the TBL framework’s environmental dimension by promoting sustainability. Furthermore, trade openness exhibits a significant negative effect on both CO2 emissions and renewable energy consumption. The findings highlight the potential synergies between logistics performance and technological innovation in driving environmental sustainability while offering economic benefits and addressing social well-being.

The findings suggest the importance of prioritising investments in enhancing logistics performance and fostering technological innovation to achieve environmental sustainability goals in Africa.

To the best of the researchers’ knowledge, this study presents an initial attempt to examine the nexus between logistics performance and environmental quality in Africa using the logistics performance index. Furthermore, beyond assessing the individual effects of logistics performance and technological innovation on environmental quality, we delve into their interactive dynamics, adding novelty to the study.