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: 52 / 52 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 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: 21 Oct 2026 07:22 UTC — 30 Oct 2026 06:22 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.
52 / 52 with data · 0 missing or unmatched. Percentages use all 52 selected publications.
52 / 52 with data · 0 missing or unmatched. Percentages use all 52 selected publications.
52 / 52 with data · 0 missing or unmatched. Percentages use all 52 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 | 52 | 52 | 52/52 | 52/52 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 67 | 52 | 52/52 | 52/52 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 75 | 52 | 52/52 | 52/52 |
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 52 / 52 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): 2026-10-21T07:22:54.141929+00:00 — 2026-10-30T06:22:25.827896+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 | 52 | 52/52 |
| 2018 | All selected publications | 0 | 52 | 52/52 |
| 2019 | All selected publications | 0 | 52 | 52/52 |
| 2020 | All selected publications | 0 | 52 | 52/52 |
| 2021 | All selected publications | 0 | 52 | 52/52 |
| 2022 | All selected publications | 0 | 52 | 52/52 |
| 2023 | All selected publications | 0 | 52 | 52/52 |
| 2024 | All selected publications | 14 | 52 | 52/52 |
| 2025 | All selected publications | 27 | 52 | 52/52 |
| 2026 | All selected publications | 34 | 52 | 52/52 |
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 | 52 |
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 | 7 | 5 | 5 | 7/7 | 0.71 | 1 | 57.1 | 7/7 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 45 | 62 | 70 | 45/45 | 1.38 | 1 | 66.7 | 45/45 · 100.0% |
* Percentage among publications with a known citation count.
This study presents a systematic literature review analysing the impact of artificial intelligence (AI) on higher education, focusing on its methods, results, and implications. By synthesising a diverse range of academic papers, the review explores how AI technologies influence educational standards and practices in higher education institutions. Findings reveal that AI has the potential to enhance the quality of higher education by diversifying teaching responsibilities, customising learning experiences, and employing intelligent, adaptive teaching strategies. These capabilities position AI as a transformative tool for improving educational delivery and outcomes. However, the study also highlights significant challenges associated with integrating AI into higher education. These challenges include delineating the appropriate scope of AI use, addressing inequalities in access to digital resources, and ensuring adequate training and support for educators and students. The review underscores the importance of understanding these complexities to guide the development of effective strategies and policies that optimise AI's potential while mitigating its limitations. The review offers critical insights into the dual role of AI in higher education, where it can either advance or hinder educational standards depending on how it is implemented. By examining the advantages, limitations, and broader consequences of AI-powered instructional tools, this study provides a comprehensive perspective on the intricate relationship between AI and educational quality. The findings aim to inform educators, policymakers, and stakeholders about the opportunities and challenges of adopting AI in higher education, contributing to the development of inclusive, innovative, and sustainable educational practices.
The integration of artificial intelligence produces a significant transformation in the workplace, which presents obstacles to the performance of intrapreneurs and the productivity of the organisation, in response to disruptive technological developments. The objective of this paper is to examine the correlation between intrapreneurship development and training initiatives and the end result for organisational performance and productivity. By employing a simplified random sampling method and a quantitative research design, this study examines the intricacies of interdepartmental relationships and emphasises the importance of development and training programmes in equipping intrapreneurs to meet the challenges of the fourth industrial revolution. The collected primary data, which was structured using a 5-point Likert scale, were analysed using Statistical Package for the Social Sciences version 26. An intelligent strategy for increasing performance and productivity in order to gain a competitive edge, the study demonstrates that fostering and improving intradepartmental relationships is effective. This finding also indicates that training and development programmes focused on the implementation of advanced technologies significantly enhance the performance of intrapreneurs and the productivity of organisations. In order to adapt to the changing employment environment of the twenty-first century, the results underscore the necessity for organisations to give precedence to technical proficiency while cultivating an environment that promotes inventive thinking, action learning, and progress.
The objective of this article is to investigate obstacles that hinder the assessment of return on investment (ROI) for academic staff development initiatives in public universities in South Africa. The primary objective of this study is to address the following research inquiry: What are the obstacles hindering the assessment of return on investment (ROI) for training and development interventions offered to academics within the higher education landscape of South Africa? The study employed a qualitative research methodology, which was based on an interpretive philosophical standpoint. The researchers employed purposive sampling to carefully select a total of fourteen participants who were selected to represent a range of cases or institutions. These included six universities and government institutions, namely the Department of Higher Education and Training (DHET), the Department of Science and Innovation (DSI), and the Education, Training, and Development Practices Sector Education and Training Authority (ETDPSETA). The interview data was subjected to thematic analysis using ATLAS.ti. The factors that hinder the measurement of ROI include the intricacy of the process, insufficient capacity, time lag between training and improved performance, lack of motivation, financial limitations, absence of processes, fragmentation of training and development interventions, interventions producing non-financial advantages, and insufficient data. The study enhanced the existing information on human resource development and practice by identifying the obstacles to measuring return on investment (ROI). Additionally, it offered practical advice and suggestions for future research.
The ever-evolving digital marketing landscape has continuously adapted to technological advancement, consumer behaviour and ecosystem trends. The 21st century marketplace needs traditional marketing practices, and digital platforms to ensure the actualisation of their growth and development in the ecosystem. The study examined how different digital marketing platforms can influence SMEs' operations and performance (Online marketing, and ICT initiatives). The study employed a quantitative design with primary data collection via a questionnaire designed based on 5-Likert’s Scale to answer the research questions; if there is a significant relationship between Online Marketing and SMEs' Business Competitiveness, and if ICT initiative has a positive relationship with SMEs' Business Growth. Two (2) hypotheses were formulated and tested using a statistical package for social sciences (SPSS). To ascertain the hypotheses formulated, both descriptive and regression analyses were carried out, and the output clearly showed a significant influence of digital marketing on the performance of SMEs. The result shows a positive impact of online marketing on SME business competitiveness. However, this study concluded that in the technology-driven environment, 21st-century SMEs will always see the usefulness and relevance of digital marketing because of its role in improving their performance. This study recommends that SMEs incorporate intensive digital platforms and engage in time-to-time updates of their online marketing channels.
This study investigates the intricate relationship between omni-channel retailing, high-end sustainable footwear, and customer satisfaction within an emerging market context. With a focus on Generation Z consumers, the research delves into the correlation between customisation, pricing, customer service, personalisation, and supply chain transparency as precursors of customer satisfaction in the high-end sustainable footwear fashion sector. The study is grounded in the recognition of the growing importance of sustainability in the fashion industry, whereby eco-conscious consumption is on the rise. The research addresses the gap in fragmented studies on omni-channel retail strategies in the high-end sustainable market. Utilising a positivist quantitative research approach, the researcher employs a convenience sampling technique by collecting data from a total sample of 268 Generation Z consumers who have purchased high-end sustainable footwear from South African omni-channel retailers. A structured online survey questionnaire, featuring five Likert-scale questions is used for data collection. The researcher proposes hypotheses that are tested primarily by utilising the latest SPSS version. The results of the study demonstrate that customisation, price, customer service, personalisation and supply chain transparency all positively influence customer satisfaction with regard to high-end sustainable footwear. The significance of the study lies in its potential to contribute valuable insights for high-end sustainable footwear omni-channel retailers in an emerging market, enabling them to enhance customer satisfaction levels and align with the growing demand for environmentally friendly and ethically sourced sustainable fashion. Additionally, the research aims to fill existing knowledge gaps in the South African market and contribute to the global discourse on sustainable fashion and consumer behaviour.
As access to healthcare has come under increasing scrutiny, patient waiting times have become crucial. Qualitative research provides an in-depth understanding and reflections of the nurses at Nthabiseng Clinic in Capricorn region, Limpopo Province, South Africa.This article is based on an investigation of patient waiting, which used in-depth semi-structured interviews with five strategically selected healthcare professionals to disentangle the web of different elements that can affect the length of time a patient might wait at the hospital. We identified two superordinate themes that emerged from our thematic analysis. The data analysis identified two key themes that influenced how patient waiting time was related to patients and operational matters during clinic visits: 1) Determinants of patient waiting time at a clinic visit: (i.e. a lack of definitions of patient waiting time; patient waiting time contributing factors; patient waiting time seen through patients; operational challenges regarding patient waiting time); as well as 2) Patient waiting time policy position (i.e. South Africa’s patient waiting time specific policy/ies and/or legislative framework; A clinic’s specific development plan; DOH’s assistance to a clinic). As healthcare systems strive to enhance accessibility and patient experience, this study offers invaluable insights into the multifaceted nature of patient waiting times, paving the way for evidence-based strategies to address this critical issue.
Agricultural farms play a crucial role in providing food security in South Africa and other parts of the world. These agricultural farms are faced with challenges such as stock theft, equipment theft and armed robberies. This paper aimed to explore the use of technological innovations on agricultural farms to detect and prevent crime. Complexity theory was adopted to achieve the aim of the paper. Qualitative research was adopted to achieve the research objective and in-depth interviews were conducted with farm managers in South Africa. Content analysis was used with the aid of Atlas.ti version 8 to analyse the primary data. The findings uncovered that technological innovation devices such as motion sensors, monitoring surveillance camera devices and drones are used on agricultural farms. Despite these devices' use, agricultural farms face security budget constraints. This paper makes a significant contribution by offering recommendations to key stakeholders and directions for future research on the topic.
The study sought to establish the primary determinants of social media usage among mobile network users in Zimbabwe, and how do these determinants vary across different demographic characteristics, including age, gender, education, income, and occupation. A descriptive research design was used in this study. A self-administered face-to-face personal survey was used to collect data from the consumers. The population in this study was made up of mobile consumers of the mobile network providers, Econet, NetOne, and Telecel in Harare Province, aged between 18 and 64 years. Convenience sampling technique, was used to select the mobile network consumers to participate in the study drawn from the three mobile operators. A sample of 384 respondents was chosen for the study. The result indicated that male respondents demonstrated a stronger perception of the effects of social media engagement on social media usage and truthfulness as a determinant of social media usage among the 18 to 25 age group and the 34 to 41 age group was different. Respondents with secondary education only demonstrated stronger perceptions of the effect of perceived usefulness on social media usage than degree holders’ respondents. Formally employed respondents had a stronger perception of the effects of social media influence on social media usage compared to students. The analysis of the study results further indicated that respondents who earned less than $2000 was significantly less than the mean score for the group which earned between $3001- 4000. The study concluded that male consumers have a stronger perception of the effects of social media engagement on social media usage, the consumers in the 18 to 25 age group have stronger perceptions of truthfulness of information, holders of certificates have a stronger perception of the effects of cost effectiveness on social media usage and formally employed consumers have a stronger perception of the effects of social media influence on social media usage compared to students. Creation of social media content helps the mobile network operators to adapt, design and develop social media content specifically targeted to specific ages, gender, occupations, and income levels on social media sites. Mobile network operators can use the results of the study to choose a social media channel that speak to the right demographic consumers who visit their platforms.
This study investigated the instructional methods used in the correctional school and during rehabilitation programmes at the Johannesburg Female Correctional Centre in Johannesburg, South Africa. It further explored how those instructional methods influence offenders' learning experiences. Anchored in the positivism paradigm, a quantitative approach was followed, and a cross-sectional survey design was used. The enumeration sampling technique was used due to the small size of the population (n = 571). Data were collected from 402 participants who were sentenced offenders, yielding a response rate of 70.40%. A Kolb Learning Style Inventory was used to collect data. Version 26.0.0 of the Statistical Package for the Social Sciences (SPSS) was used to analyze data. Descriptive and inferential statistics were computed as part of data analysis. The results show that during classes and during rehabilitation programmes, classroom discussion was the most common instructional method, and this was found to be appropriate to the participants’ learning experiences. Lecturing was the second most used instructional method for both the Correctional Centre school and the rehabilitation programmes. It was also found to be relevant to the participants’ learning experiences. It is recommended that the Johannesburg Female Correctional Centre formulate and implement a strategy that seeks to deliberately provide variations of instructional methods to accommodate different learning styles if these do not compromise the security within the facility. Teachers/facilitators can use varied techniques to stimulate offenders’ enthusiasm and participation during the sessions. It is further recommended that the Department of Correctional Services should offer professional development opportunities for educators to develop capacity to utilise diverse teaching techniques and create feedback mechanisms to assess instructional effectiveness for offenders. The Department of Correctional Service must further consider developing a framework for monitoring instructional effectiveness or guidelines for integrating new teaching techniques.
SME liquor retailers operate in complex, strictly regulated, and competitive environments yet unlicensed liquor retailers are active in meeting demands of consumers, while large retail chain organizations with financial resources continue to enter the market posing a challenge for the SME liquor retailers to sustain themselves. This study uses competitive theory to investigate the effect of innovation management practices in enhancing competitiveness of SME liquor retailers in South Africa. A qualitative exploratory design was used with thematic analysis to analyze 21 empirical data collected through semi-structure interviews. Findings highlight that by practicing innovation management, specifically non-technological, incremental, and service innovations, liquor retailers were able to attract, keep, and maintain their customer base. The respondents collaborated with suppliers to deploy a reward system to encourage customer loyalty and repeat purchases. SME liquor retailers are encouraged to deploy different forms of innovation management to enhance their ability to attract, keep, and maintain customers and thereby enhance their competitiveness.
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 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |