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: 23 / 23 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 — 23 Oct 2026 11:54 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.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 selected publications.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 selected publications.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2025 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 13 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 8 | 8 | 8/8 | 8/8 |
| 2025 | All selected publications | 4 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 0 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 14 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 9 | 8 | 8/8 | 8/8 |
| 2025 | All selected publications | 4 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 0 | 5 | 5/5 | 5/5 |
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 23 / 23 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): 2026-10-21T07:22:43.973089+00:00 — 2026-10-23T11:54:07.761061+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 | 23 | 23/23 |
| 2018 | All selected publications | 0 | 23 | 23/23 |
| 2019 | All selected publications | 0 | 23 | 23/23 |
| 2020 | All selected publications | 0 | 23 | 23/23 |
| 2021 | All selected publications | 0 | 23 | 23/23 |
| 2022 | All selected publications | 0 | 23 | 23/23 |
| 2023 | All selected publications | 0 | 23 | 23/23 |
| 2024 | All selected publications | 7 | 23 | 23/23 |
| 2025 | All selected publications | 11 | 23 | 23/23 |
| 2026 | All selected publications | 9 | 23 | 23/23 |
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 |
|---|---|
| 2022 | 3 |
| 2024 | 8 |
| 2025 | 7 |
| 2026 | 5 |
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 | 9 | 3 | 3 | 9/9 | 0.33 | 0 | 33.3 | 9/9 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 14 | 22 | 24 | 14/14 | 1.57 | 1.0 | 57.1 | 14/14 · 100.0% |
* Percentage among publications with a known citation count.
The proliferation of technology has innovated new ways of saving and investing money: online savings and investment platforms [OSIPs]. Predicting the intention to adopt Fintech has triggered the interest of many researchers in academia and industries. The primary objective of this study was to examine factors influencing the intention to adopt OSIPs in Nigeria by using data gathered from 640 digitally active citizens from selected cities in Nigeria. Reliability and validity tests were conducted through construct reliability and discriminant validity, respectively, through WarpPLS. Data were computed with the Statistical Package for the Social Sciences (version) 24 and analyzed with structural equation modeling via WarpPLS. The findings of this study showed that performance expectancy, effort expectancy, and social influence significantly affect attitude while facilitating conditions predict intention to adopt. It was also found that attitude significantly influences the intention to adopt OSIPs. The paper also discusses the study’s research limitations and presents implications for theory and practice.
There has been limited study from a southern-African perspective investigating factors that affect the adoption of e-banking specific to small and medium enterprises (SMEs) in developing African economies. To date, little is known about SME uptake of e-banking in the southern African common monetary area (CMA), comprising South Africa, Lesotho, Namibia, and Eswatini. This knowledge gap is problematic for banks in providing SME support for the transition to e-banking, given the current move by banks toward embracing digital strategies. This study focused on a single bank with a large footprint in the CMA, intending to add to the body of academic knowledge regarding the adoption of e-banking services by SMEs. It employed a qualitative methodology involving one-on-one, semi-structured, open-ended interviews with purposefully selected Bank X staff in each country of the CMA, using the literature reviewed to identify themes relevant to the proposed conceptual model. The conclusions of this research have led to a framework for e-banking adoption. A framework such as this may positively impact the profitability and sustainability of an SME by ensuring the adoption of e-banking services and utilization of available financial products to improve business opportunities via the e-banking channels of Bank X.
The adoption and use of ICT have increased drastically in developed countries, but it cannot be said that it lags in developing countries. ICT evolution has introduced e-commerce services for users, but these services fail because of low user acceptance and user attitude, especially in developing nations. The security and trustworthiness of e-commerce are known to be of the most significant concern to people intending to use e-commerce services. The study looked at the role of individual characteristics on how cyber-security and trust issues affect non-users of e-commerce systems' intention to use e-commerce systems in South Africa. The effect of cyber security on consumers’ intentions and actual use of e-commerce systems was examined. This study used a quantitative research approach. The findings revealed that perceived security and perceived trust was the primary concern for non-users of e-commerce intentions. It was shown that e-commerce system users are still concerned about security, even though they intend to continue using e-commerce systems. For the success of e-commerce in rural communities, the government needs to join with retailers and SMEs to start awareness campaigns that will clarify how e-commerce systems work and eradicate negative perceptions of e-commerce systems.
This paper systematically reviews literature with the aim of conceptualizing a change management framework for the effective use of the Examination Administration System (EAS). Information systems (IS) change management factors in the implementation and the post-implementation phases are systematically reviewed to identify 37 reports between 2015 and 2023 and content was analyzed. Post-acceptance phase poses many challenges that often result in resistance from the user community thus relinquishing the expected gains. This paper explains change management factors in the post-implementation phase of information systems as they are not adequately addressed in existing literature. The conceptualization of the change management framework draws on the integration of the Unified Theory of Acceptance, Use of Technology and Effective Use Theory and nine change management factors as facilitating conditions. The paper concludes that effective use of EAS is realized through change management factors (i.e., user training, top management support activities, information flow, planning EAS as a change, change shared vision, performance measurement, user involvement and change recognition, user satisfaction and effective communication). This study further adds the indirect mechanisms (i.e., technology use and IS adaptive use) through which the change management factors can impact effective use. The study provides a useful guide to the practitioners and researchers to explain the change management strategies for the effective use of information systems and improve it. This paper also proposes that future studies adapt and/or empirically test conceptual change management apparatus for effective use to ascertain its validity within various contexts.
This exploratory analysis investigated the use of cloud accounting within the SME sector in Zimbabwe. This study addresses a significant gap in the existing literature, as no prior research has specifically explored the utilization of cloud accounting within the SME sector in Zimbabwe. The study employed a qualitative research approach using purposive sampling. Data was collected from semi-structured interviews and was thematically analyzed. The study revealed a low utilization of cloud accounting among SMEs in Zimbabwe. The lack of awareness is particularly pronounced, hindering SMEs from recognizing the benefits and functionalities of cloud accounting systems. The study found that SMEs implementing cloud accounting experience many benefits that significantly enhance their financial management processes, operational efficiency, and overall business performance. The study emphasized the need for targeted awareness campaigns, comprehensive training programs, and robust policy support to bridge the knowledge gap and facilitate the widespread adoption of cloud accounting. The findings offer valuable insights for policymakers, educators, and technology vendors aiming to promote the digital transformation of the SME sector in Zimbabwe. Value This study provides valuable insights into the barriers and opportunities for adopting cloud accounting in Zimbabwe's SME sector, highlighting the need for awareness, training, and policy support to drive digital transformation and improve financial management, operational efficiency, and overall business performance.
Technological advancement has transformed the grocery retail, fundamentally altering how consumers interact with retailers and purchase essential goods. Despite rapid digital adoption since the COVID-19 pandemic, uptake of online grocery shopping (OGS) in emerging markets remains uneven. The drivers of consumer attitudes towards this channel are not well understood in the South African context. This paper investigates the effects of perceived usefulness, perceived ease of use and perceived risk on consumer attitudes towards OGS in Gauteng, South Africa. It investigate whether perceived usefulness mediates the effect of perceived ease of use on attitude. Data were collected through a structured, self-administered questionnaire distributed online to grocery shoppers aged 18 to 60 across Gauteng, yielding a final valid sample of 507 respondents. The data were analysed using a two-step structural equation modelling approach in Stata 17, with Spearman correlation and quantile regression conducted as additional robustness checks. Perceived usefulness emerged as the strongest, most consistent driver of consumer attitudes towards OGS (β = 0.555, p < 0.001). Perceived ease of use had a positive direct effect (β = 0.162, p = 0.020) that did not hold consistently under the quantile regression check; it was, however, strongly correlated with perceived usefulness (ρ = 0.589, p < 0.001). A formal mediation test found that perceived usefulness did not significantly mediate the relationship between perceived ease of use and attitude (Sobel p = 0.321), indicating that perceived ease of use influences attitude directly rather than through perceived usefulness. Contrary to previous studies and initial expectations, perceived risk did not significantly influence consumer attitudes (β = 0.059, p = 0.319). These findings extend the Technology Acceptance Model to an emerging online grocery market and offer practical guidance for retailers seeking to strengthen consumer adoption in similar developing-market contexts.
The study focused on Sustainable adoption of cryptocurrencies for enhancing financial stability in emerging markets. The problem of the study is lack of awareness on the use of cryptocurrency resulted in many transacting people losing their money to scam and criminals who use fraudulent methods to deprive those with little knowledge to transact through the cryptocurrency. The specific objectives of the study are to; establish the factors influencing the adoption of cryptocurrencies for enhancing financial stability emerging markets, analyse the opportunities and challenges for the adoption of cryptocurrencies in emerging markets, establish strategies for enhancing financial stability through the adoption of cryptocurrencies in emerging markets. The research study is guided by the Technology Acceptance Model by Davis, (1989). the findings of the research indicated that the perceived usefulness and perceived ease of use showed positive association on the intention to use cryptocurrencies. The ease and usefulness of cryptocurrencies was found in fulfilling various roles including making instant international money transfer, transacting at low charges, using it as an alternative source of currency, making free anonymous transaction and paying for the online service that accept cryptocurrencies. The results indicate that higher inflation and increased exchange rate volatility are positively associated with greater use of cryptocurrencies, explaining that such economic conditions drive individuals to seek alternative financial instruments. The study concluded that, the adoption of cryptocurrency is important for enhancing financial inclusion amongst people of different walks of life in emerging markets. The adoption of cryptocurrency by the emerging markets is significant in maintaining financial stability and reduce the erosion of the local currencies in emerging markets.
This study examines how cognitive and structural factors jointly shape customer satisfaction in digital marketplaces, using South Africa as an emerging market context. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) and network embeddedness theory, it investigates the effects of performance expectancy, effort expectancy, perceived network density, and perceived network centrality. A survey of 128 township entrepreneurs engaging with e-commerce platforms was analysed using multiple regression. Findings indicate that cognitive factors, performance and effort expectancy, significantly predict customer satisfaction, whereas structural factors, network density and centrality, have no direct effect when considered jointly, suggesting their influence is mediated through user perceptions of platform efficiency. This study contributes theoretically by integrating technology cognition with ecosystem network perspectives, highlighting the interdependence of platform design and structural coordination in shaping customer satisfaction. Practically, the findings inform platform managers on prioritising customer-centric design while maintaining effective ecosystem governance to enhance customer satisfaction. By linking cognitive evaluations and structural embeddedness, the study provides actionable insights for managing complex digital ecosystems in emerging markets. It further extends understanding of platform strategy beyond technology adoption and network structure alone.
This study examined the effect of entertainment benefits on the confirmation of application-based loyalty programmes among retail consumers in township markets. A positivist philosophy and mono-quantitative design were adopted. Using a survey, data were collected from 516 Black consumers aged 18-65 years who used at least one retail application-based loyalty programme. Respondents were selected through simple random sampling, and validated measurement scales were adapted to the study context. Partial least squares structural equation modelling was used to test the hypothesised relationship, with education, gender, age and income included as control variables. The findings indicate that entertainment benefits have a statistically significant, positive but modest effect on confirmation, while none of the control variables are statistically significant. From a theoretical perspective, a business ecosystem lens conceptualises entertainment benefits as engagement mechanisms within digital interaction platforms embedded in township retail ecosystems. These mechanisms shape post-adoption evaluation in resource-constrained environments. The study contributes to the literature by isolating entertainment benefits as a hedonic determinant of confirmation, thereby extending prior research that has predominantly focused on utilitarian drivers. It also provides a focused re-examination of an existing doctoral thesis relationship between entertainment benefits and confirmation, offering a more granular understanding of hedonic value in post-adoption evaluation. Practically, the findings highlight the importance of integrating entertainment-driven features into application-based loyalty programme design to strengthen retailer-consumer engagement and enhance confirmation in emerging-market digital retail environments.
Artificial intelligence (AI) is transforming digital marketing by enabling advanced analytics, automation, and personalised customer engagement. Despite growing adoption, qualitative insights into how small retail enterprises in emerging economies adopt AI remain limited. This study examines AI adoption in digital marketing among small retailers in Cape Town using an interpretivist qualitative case study design. Grounded in an integrated Technology–Organisation–Environment (TOE) and Unified Theory of Acceptance and Use of Technology (UTAUT) framework, data were collected through semi-structured interviews with 18 participants identified via snowball sampling. Thematic analysis shows that AI adoption is driven by competitive pressure, customer expectations, and perceived performance benefits, but is constrained by skills gaps, cost concerns, and data-related challenges. The study extends TOE–UTAUT theory by demonstrating how platform-based AI tools reduce technological barriers while amplifying organisational and capability-related constraints in emerging market contexts. The findings provide actionable insights for policymakers and practitioners aiming to support sustainable digital transformation in small business ecosystems.
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 |