Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 13 / 13 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 22 Oct 2026 01:02 UTC — 23 Oct 2026 05:54 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 13 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 15 | 5 | 5/5 | 5/5 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 6 | 6/6 | 6/6 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 13 / 13 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-22T01:02:19.038708+00:00 — 2026-10-23T05:54:14.683950+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 13 | 13/13 |
| 2018 | All selected publications | 0 | 13 | 13/13 |
| 2019 | All selected publications | 0 | 13 | 13/13 |
| 2020 | All selected publications | 0 | 13 | 13/13 |
| 2021 | All selected publications | 0 | 13 | 13/13 |
| 2022 | All selected publications | 0 | 13 | 13/13 |
| 2023 | All selected publications | 0 | 13 | 13/13 |
| 2024 | All selected publications | 2 | 13 | 13/13 |
| 2025 | All selected publications | 4 | 13 | 13/13 |
| 2026 | All selected publications | 11 | 13 | 13/13 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2024 | 5 |
| 2025 | 2 |
| 2026 | 6 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 13 | 15 | 17 | 13/13 | 1.15 | 0 | 46.2 | 13/13 · 100.0% |
* Percentage among publications with a known citation count.
This article seeks to analyse the impact of systemic hurdles, organisational inertia, and technology limitations on the digital transformation initiatives of the State Information Technology Agency (SITA) in South Africa. The study aims to present a comprehensive framework to improve SITA's digital transformation strategy by tackling these obstacles. This article aims to identify key areas including policy restructuring, capacity building, and the adoption of modern technologies such as cloud computing, big data, and the Internet of Things (IoT). We utilised a mixed qualitative-analytical approach for data collecting and processing. Primary data were collected via semi-structured interviews with SITA personnel, while secondary data were sourced from official SITA papers, such as annual reports and strategy plans. Thematic analysis was employed to discern reoccurring patterns and themes. An analysis was conducted on a dataset of SITA's digital activities spanning from 2012 to 2021. The study's principal findings indicate that (i) systemic obstacles, including antiquated infrastructure and reluctance to change, substantially hinder digital transformation, (ii) effective security protocols and strategic alliances are crucial for surmounting these obstacles, and (iii) the establishment of a comprehensive framework encompassing capacity building and the integration of advanced technologies can significantly bolster SITA's digital transformation initiatives, thereby enhancing. Nonetheless, the study possesses drawbacks, notably its dependence on qualitative data, which may not encompass the entirety of challenges encountered by SITA. Subsequent study ought to adopt a mixed methodologies approach to facilitate a more thorough analysis. Notwithstanding these constraints, the report provides significant insights and pragmatic recommendations for policymakers and practitioners engaged in digital transformation programs at SITA.
This study intends to assess the impact of digital transformation on public sector service delivery, concentrating on the State Information Technology Agency (SITA) in South Africa. The report examines critical obstacles obstructing the effective execution of digital transformation programs, including as antiquated infrastructure, procurement inefficiencies, and opposition to change. It also analyses the advantages of agile approaches in improving flexibility, responsiveness, and collaboration in digital projects. We utilised a qualitative study methodology, conducting semi-structured interviews with SITA personnel and analysing pertinent organisational documents. The dataset comprised interviews with personnel from several departments, together with performance and service delivery reports spanning from 2015 to 2022. The study's principal findings indicate that (i) agile methodologies markedly enhance the adaptability and efficiency of digital transformation initiatives; (ii) robust data governance and sharing practices promote transparency and accountability, albeit encountering obstacles such as data silos and inconsistent quality; and (iii) addressing challenges such as digital hesitancy and leadership deficiencies is crucial for cultivating a culture that encourages innovation and continuous improvement. The study ultimately offers strategic recommendations for tackling these difficulties and improving digital transformation initiatives inside SITA.
Since the first case of the COVID-19 pandemic in South Africa in 2020, public participation in municipalities took a knock as COVID-19 regulations prohibited large crowds from gathering. Because the Matjhabeng local municipality's valuation roll was about to be renewed, this became a major point of contention. As a result, this article investigated how Matjhabeng local municipality conducted public participation to comply with the law during the pandemic. The study is primarily quantitative, but qualitative aspects are also included. According to the findings, the municipality failed to use other platforms to ensure that no one was left behind while drafting the rates policy. As a result, it is suggested that the use of m-government in Matjhabeng local municipality is necessary for public participation during COVID-19 and beyond.
The incorporation of generative artificial intelligence in governance, political knowledge, electoral, and democratic processes is essential as the world transitions to a digital paradigm. Numerous nations have adopted Generative AI (GenAI), a disruptive technology that compels electoral bodies to advocate for the integration of such tools into governance, electoral, and democratic processes. Nevertheless, these technologies do not ensure effortless integration or efficient usage owing to intricate socio-cultural and human dynamics. Certain African jurisdictions are ill-prepared for the adoption of these technologies due to factors including underdevelopment, insufficient electrical supply, lack of technology literacy, reluctance to change, and the goals of governing parties. This study examines generative artificial intelligence as a disruptive technology for enhancing governance, political knowledge, electoral processes, and democracy. A mixed-method approach was employed, incorporating surveys and in-person interviews. The analysis of data, debates, and interpretation of findings were grounded in postdigital theory and theme analysis employing an abductive reasoning technique, in alignment with the tenets of critical realism. The study demonstrated that GENAI can influence political knowledge, election processes, and enhance efficiency in government and democracy. Moreover, GENAI, including ChatGPT, can either exacerbate or mitigate societal tendencies that contribute to human division, facilitate the dissemination of misinformation, perpetuate echo chambers, and undermine social and political trust, as well as polarise disparate groups or sets of viewpoints or beliefs. AI offers substantial opportunities but also poses many obstacles, including technical constraints, ethical dilemmas, and social ramifications. The swift progression of AI may disrupt labour markets by automating tasks conventionally executed by people, resulting in job displacement. Implementing AI necessitates significant upskilling and proficiency with digital tools; therefore, governments and organisations must adequately train their personnel to reconcile the disparity between AI's capabilities and users' comprehension. Additionally, there is a requisite for governmental oversight, regulation, and monitoring of AI adoption and utilisation across all facets of its implementation.
Governments are diligently striving to attain sustainable development objectives. The Constitution of the Republic of South Africa 1996, in Chapter Two, section 27, states that “everyone has the right to health services, water, adequate food, and social security.” These constitutional obligations have established the archetypal local government, described as a governmental entity that upholds the principles of democracy, accountability, transparency, and inclusivity while effectively and efficiently addressing the needs and interests of its community. Nevertheless, the government encounters numerous obstacles in realising an optimal local governance structure. The Fourth Industrial Revolution (4IR) is prompting the government to reevaluate its operations. This study aimed to examine how optimal local governance may be attained through the fourth industrial revolution, emphasising the role of citizens. The research employed technological determinism theory as its theoretical foundation. The study's findings indicate that the Fourth Industrial Revolution enhanced citizen transparency, involvement, and participation in municipal government institutions. The Fourth Industrial Revolution facilitates the implementation of e-government systems to tackle existing developmental challenges. The primary challenge confronting South Africa is the lack of sufficient sustainable resources, encompassing digital illiteracy and inadequate infrastructure support. The report advocates for the critical necessity of investing in skill development and a telecommunications infrastructure that promotes openness and transparency within the socio-institutional aspect of the Fourth Industrial Revolution. The study provides a structured framework that enhances efficiency, transparency, and service delivery by addressing the challenges of digital transition. It retains contextual relevance to South African towns while drawing from worldwide best practices and delineates essential implementation processes, funding sources, and capacity-building activities for government workers. The findings contribute to the discourse on the modernisation of the public sector and digital governance.
Public sector institutions are often characterised by service delivery delays, time management challenges, paper-based activities, and limited application of digital technologies. Digital transformation has become a crucial tool for enhancing institutional efficacy for the purposes of achieving set goals and objectives, and ultimately improved service delivery. This article explores the significance of digital transformation in enhancing institutional efficacy in public sector institutions. The Department of Home Affairs, Vhembe District served as a reference. Structured questionnaires were used to gather data from 120 officials of the Department of Home Affairs using a quantitative research method. The findings indicate that digital transformation improves service quality and speed, supports informed decision-making, enhances collaboration and communication and increases administrative efficiency and accuracy. The article highlights digital transformation as a strategic enabler of institutional performance that promotes responsive, accountable and citizen centred government. The study recommends strengthening digital infrastructure, investing in continuous staff training, integrating communication platforms and promoting citizen centred digital services.
Electronic public participation (EPP) is becoming more popular to enhance traditional public engagement and promote equitable municipal planning. But the degree to which digital engagement provides significant public impact in South Africa’s Integrated Development Planning (IDP) process is not well recognised. This study looks into EPP practices, application challenges, and potential for improving digital engagement in three metropolitan municipalities: Cape Town, Ekurhuleni, and Nelson Mandela Bay. A mixed-methods, multiple-case research design was used. Data were obtained from 588 participants, who included municipal officials, ward councillors, ward committee members, and residents, with 260 formal and 250 informal settlement populations. Quantitative data from local residents were evaluated using descriptive statistics and Pearson’s chi-square tests, whilst interviews and open-ended questions were thematically analysed using Dedoose and combined during interpretation. The findings show that EPP is entrenched unequally across local municipalities and IDP phases. The City of Cape Town and Nelson Mandela Bay made better use of online and blended engagement, whilst Ekurhuleni leaned more mainly on traditional meeting procedures. Across municipalities, digital engagement was focused on information exchange, consultation, analysis, and project-related phases, with less integration into strategic planning, approval, execution, and monitoring. Digital disparity, inadequate institutional capacity, and ineffective feedback systems all hampered meaningful involvement. The evidence, as explained using Arnstein’s Ladder, Smart Governance Theory, and Collaborative Governance Theory, reveals that online access has increased faster than citizen control. As such, this research offers a holistic EPP implementation framework which combines digital and in-person interaction throughout the IDP process, backed up by equitable access, institutional cooperation, feedback, accountability, and joint decision-making avenues. The framework also emphasises the opportunity of EPP to improve stakeholder collaboration and the larger municipal economic landscape.
The global rise of Artificial Intelligence (AI) and Information and Communication Technology (ICT) has positioned digital transformation as a key strategy for improving efficiency, transparency, and responsiveness in public service delivery. In South Africa, however, persistent service delivery protests, limited institutional capacity, and resource constraints continue to undermine effective governance, raising critical questions about the readiness and effectiveness of AI and ICT adoption in the public sector. This paper, therefore, examines the impact of AI and ICT on public service transformation in South Africa, with a focus on their potential to improve service delivery and the barriers limiting their effective implementation. Methodologically, the paper adopts a qualitative research approach based on secondary data, drawing on peer-reviewed literature, government reports, and relevant case studies on digital transformation in public administration. Through thematic synthesis, the paper analyses patterns of adoption, impact, and implementation challenges across key public service domains. The findings reveal that AI and ICT have contributed to improved e-government services, enhanced administrative efficiency, and greater transparency in selected areas of public service delivery. However, these benefits remain uneven and fragmented due to persistent challenges, including inadequate infrastructure, limited financial and human resources, resistance to change, regulatory constraints, low levels of digital literacy, and outdated legacy systems. These barriers collectively slow down system-wide digital transformation and limit the scalability of technological innovations. The paper contributes by providing a consolidated and updated synthesis of fragmented evidence on AI and ICT adoption in South Africa’s public sector, offering a clearer understanding of both progress and persistent structural constraints. It further indicates that digital transformation is not solely a technological issue but also an institutional and governance challenge. The paper recommends prioritised investment in modern ICT infrastructure, strengthened digital skills development for public servants, and the establishment of a coherent national digital transformation strategy. It further recommends simplifying procurement processes, fostering an innovation-oriented public sector culture, and strengthening regulatory and ethical governance frameworks to ensure accountability, inclusivity, and sustainable digital transformation in public service delivery.
The Fourth Industrial Revolution (4IR) altered how institutions and people interact and operate in various contexts. Technological advancements through e-government have resulted in more responsible, transparent, effective, and efficient governance and service delivery in Lesotho. The adoption of e-government and its influence on service delivery in Lesotho are examined in this study using a systematic scoping review process guided by the PRISMA 2020 framework. Using the Technology Acceptance Model (TAM) as its theoretical lens, the study argues that citizen adoption is dependent on perceived usefulness and ease of use, both of which are significantly hindered by local constraints. The evaluation acknowledges gains made through programmes such as the 2013 e-Government Infrastructure Project, which has increased efficiency and transparency, particularly in metropolitan areas such as Maseru. Nevertheless, it also draws attention to a notable implementation gap, with a sizable urban-rural digital divide that marginalises rural residents due to inadequate infrastructure, expensive ICT, and restricted coverage. Serious accessibility issues are also exacerbated by inadequate digital literacy and the predominance of English over Sesotho on government websites. According to the study, resolving these problems calls for a multifaceted strategy. Investing in rural digital infrastructure, lowering access fees, requiring multilingual and accessible digital content, and starting national digital literacy initiatives are all part of this strategy to transform e-government into a tool for equitable service delivery and inclusive development for all Basotho.
In the digital era, public administrations face the dual challenge of modernizing internal processes while improving citizen services, amid rising expectations for transparency, accountability, and integrity. Citizens demand faster, more accessible, and more transparent services, while pressures to cut costs and boost efficiency intensify. E-government and broader digital transformation thus emerge as strategic levers to address these demands. This study aimed to assess how, and under what conditions, e-government initiatives enhance service delivery and transparency, while identifying mediating factors, including technical, organizational, and political factors. An in-depth qualitative literature review and analysis of secondary data (the UN E-Government Survey, open data indicators, and corruption perception indices) was conducted to explore these dynamics. The study followed the integrative review standards, screening the e-government adoption literature, the United Nations E-Government Survey, global benchmarking reports, and digital government evaluations published between 2010 and 2025, and using thematic coding to ensure replicability and analytic depth. The findings provide practical recommendations for policymakers and administrators to enhance service quality, transparency, and citizen engagement. The study contributes to the growing literature on public sector digitalization by synthesizing key success factors, common obstacles, and emerging trends across diverse national and cultural contexts, offering insights for effective governance in the digital age.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |