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: 561 / 561 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 00:01 UTC — 22 Oct 2026 03:07 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.
533 / 561 with data · 28 missing or unmatched. Percentages use all 561 selected publications.
533 / 561 with data · 28 missing or unmatched. Percentages use all 561 selected publications.
561 / 561 with data · 0 missing or unmatched. Percentages use all 561 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 | 561 | 561 | 561/561 | 561/561 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1651 | 561 | 561/561 | 561/561 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2664 | 561 | 561/561 | 561/561 |
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 561 / 561 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): 2026-10-21T00:01:59.961928+00:00 — 2026-10-22T03:07:45.934857+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 | 2 | 561 | 561/561 |
| 2018 | All selected publications | 2 | 561 | 561/561 |
| 2019 | All selected publications | 2 | 561 | 561/561 |
| 2020 | All selected publications | 1 | 561 | 561/561 |
| 2021 | All selected publications | 3 | 561 | 561/561 |
| 2022 | All selected publications | 157 | 561 | 561/561 |
| 2023 | All selected publications | 607 | 561 | 561/561 |
| 2024 | All selected publications | 855 | 561 | 561/561 |
| 2025 | All selected publications | 674 | 561 | 561/561 |
| 2026 | All selected publications | 351 | 561 | 561/561 |
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 | 561 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 8 | 14 | 16 | 8/8 | 1.75 | 1.0 | 62.5 | 8/8 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 35 | 109 | 185 | 35/35 | 3.11 | 2 | 62.9 | 35/35 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 41 | 52 | 111 | 41/41 | 1.27 | 0 | 46.3 | 41/41 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 477 | 1476 | 2352 | 477/477 | 3.09 | 2 | 71.5 | 477/477 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to evaluate the factors that influence data saturation in qualitative studies. The study adopted a systematic literature review of 24 journal articles published between 2018 and 2022. The articles were obtained from a Google scholar database. The findings point to five factors that affect data saturation namely, pre-determined codes and themes, sample size, relevancy of research subjects (respondents), number of research methods, and length of data collection sessions. It is argued in this paper, therefore, that in order to attain data saturation, researchers should consider multiple factors that may affect data saturation in order to increase the validity of qualitative studies.
This study examines the strengths and limitations of 22 published journal articles by conducting a systematic literature review. The review revealed that the qualitative approach was flexible, offered in-depth and detailed information, allowed the use of multiple data collection methods and minimised the chance of having missing data. The approach was found (i) to integrate human touch, was cost-effective and was indeed the only option in some cases of research problems; (ii) to be prone to researchers’ subjectivity, involves complex data analysis, makes anonymity difficult and has limited scope in its generalizability, and (iii) to make replication of findings challenging, and the findings may be influenced by the researcher’s bias. It is concluded, therefore, that researchers should take necessary precautions when using the approach to ensure that the weaknesses of qualitative research do not bar them from achieving research objectives.
The Covid-19 pandemic, a catalyst in embracing the online mode of learning, is one of the key motivating factors for a paradigm shift in curriculum development due to the increased focus and reliance on technology. For the effective education of tertiary students globally, a revised curriculum development integrated with the Learning Management Systems and other eLearning platforms or tools that support asynchronous learning play a key role. This study seeks to determine the influence of user experience and user interface design of e-learning platforms on learning experience in higher education. A systematic review of studies regarding usability of e-learning platforms at tertiary institutions was conducted to determine the common issues and successes. A snapshot of research over the last five years was used in a systematic review to determine the influence of UX/UI on eLearning concerning higher education. Using the ERIC and Google scholar databases of journals, and specific criteria for selection of publications, 25 articles were examined in this study. Findings indicate that focused attention on interface design and user experience of eLearning systems for effective learning is crucial.
Gen Z controls almost the entire population in the world with a total number of almost two billion people worldwide. This generation will be the largest consumer group in the world. In Indonesia itself, In 2020, Gen Z occupied the highest percentage of the population. Therefore, Gen Z is a potential target market that has a considerable influence on purchasing decisions. Based on the characteristics of Gen Z, who are digital natives, the use of social media is the right marketing strategy for consumers who are counted into Gen Z category. Promotional activities, as part of a marketing strategy, especially through social media require influencers as endorsers. This study aims to investigate the factors that influence the credibility attributes of social media influencers on the purchase intentions of Gen Z consumers. This study uses influencer credibility attributes (attractiveness, expertise, and trustworthiness) as independent variables that influence the purchase intention of Gen Z consumers with brand image as a mediation. This research is categorized as explanatory research. The respondents in this study were Gen Z who used Korean cosmetic products throughout Indonesia, the determination of the number of samples in this study used a purposive sampling technique with a sample of 210 respondents. The method of collecting data is using a questionnaire, the data is analyzed using PLS-SEM. The results showed that the three attributes of influencer credibility had a significant effect on the purchase intention of Gen Z. The three attributes of credibility had a significant effect on brand image, brand image had a significant effect on purchase intention. Brand image can provide a full mediating role in the relationship of influencer credibility to the purchase intention of Gen Z consumers. Local cosmetic industry players are expected to improve marketing strategies through online channels, especially social media by utilizing the right influencers as their endorsers, because it is proven in this study, credibility of social media influencers have a significant effect on the brand image of a product and the purchase intention of Gen Z consumers, so that the local cosmetic industry in Indonesia can compete with foreign cosmetic industries.
Novice and experienced researchers may encounter numerous methodological challenges when it comes to data collection. Data have to be collected from the right sources using appropriate data collection tools to make research studies impactful. There are numerous data collection methods that researchers may use but not all methods are appropriate for all research studies. Choosing inappropriate research methods may result in invalid research findings and lead to erroneous conclusions. This means researchers have to carefully choose data collection methods to make their studies achieve their respective goals. This study intended to identify factors that researchers have to consider in choosing data collection methods. A systematic literature review was used to analyze 28 journal articles published between 2018 and 2022. From the analysis the study identified ten (10) factors that researchers have to consider in choosing data collection methods. These factors are; the research goal, the scope of the study, sample size, type of data, time and user-friendliness to the subjects. Other factors are research approach, safety and security of a researcher, the need for triangulation and theoretical framework. Before choosing methods for data collection, it is important to put into consideration these factors to increase the chances of achieving research objectives and answering research questions of research projects.
The unprecedented rate of urbanization across the world has led to increased demand for good, affordable housing. This research was conducted to ascertain the reasons and challenges of urbanization on housing shortages in Gaborone, Botswana. The focal point of this study was to assess the impact of urbanization on the demand of housing in Gaborone, Botswana. Thereafter the study recommended astute strategies desirable to curb the problem of urbanization and scarcity of accommodation in Gaborone. This research used a descriptive research design and distributed questionnaires to Gaborone residents during data collection. The researchers used stratified and clustered sampling methods. The study results indicated the need for better educational facilities and employment opportunities as the major causes of urbanization in Gaborone. Shortage of housing, high rentals and escalating land prices were also identified as some of the major challenges of urbanization in Gaborone. The study recommended that the government to introduce rent control measures to restrict rising prices, the private sector should be encouraged to further participate in the provision of accommodation for different income groups to be sold or leased at subsidized rates. The study also recommended the government to buy plenty of land and real estate, to reduce speculative behaviour of land barons.
The study was meant to provide a comparative analysis of the association between economic complexity and the current account performance for selected Sub-Saharan Africa and the BRICS group. Economic complexity measures the sophistication of a country’s productive structure by combining information on the diversity of a country (the number of products it exports), and the ubiquity of its products (the number of countries that export that product). The objective was to investigate whether a short- and long-term relationship exists through a Panel Autoregressive Distributed Lag (PARDL) for 1994 – 2018. Additionally, agricultural exports were also incorporated to measure against the economic complexity Index (ECI). On the current account-ECI relationship, the PARDL estimates exposed a positive and significant impact from ECI on the current account performance in both groups in the long run, while short-run results were insignificant. On the other hand, agricultural exports were an insignificant predictor of the current account in both groups in the long run. However, only the BRICS realised a significant negative contribution in the short-run. Hence, it is essential, especially the still developing selected SSA, to improve upon its ECI to facilitate a current account improvement better. There is a need to modernise the agricultural and agro-industries in the selected SSA. The region should harness the full potential of its agricultural sector and also the overall, abundance of raw resources to advance process-led products for the export market.
The paper seeks to illustrate the propinquity between mobile phone technology and the profitability of immigrant entrepreneurs’ businesses and whether there is a positive effect. The outcome should ascertain if mobile technology could be propounded as a credible source of competitive advantage. The paper uses a qualitative approach, using content analysis as the research design tool. Data analysis was done through the conceptual content analysis approach. Various online databases such as EBSCOhost, Google scholar, JSTOR, and Science Direct were accessed for literature. Different terms (keywords) such as; “Mobile phone technology”, “mobile marketing”, and “mobile payment” were searched. The data collected through a systematic literature review were compiled, analysed, and generated conclusions. This paper deduces that immigrant entrepreneurs stand to gain a competitive edge by using mobile phone technology, thereby improving business performance. Future researchers need to expand the scope of their study to other sectors and industries globally. The paper exhibits the significance of apps and websites as mobile technology tools that can positively impact business performance. This paper outlines how mobile technology is now an essential catalyst in the performance of various business sectors. Results are essential to app and website developers, entrepreneurs and the business society.
The study sought to examine the effect of Accounting Information and Communication control on the financial performance of Sacco’s in Kenya. The study employed a mixed research design targeting 175 Sacco’s with 875 respondents. A purposive sampling technique was used to select the CEOs, Finance Managers, Risk Managers, ICT Managers and Internal auditors. Data were collected by the use of both primary and secondary techniques. Primary data collection was using questionnaires, while secondary data detailed document analysis of audited accounts to capture information on financial performance. A pilot study was conducted in Nairobi County. Content and construct validity were tested at a KMO value of 0.870, which signified that factor analysis was appropriate. Cronbach Alpha was applied to establish reliability, ranging from 0.859 for accounting information and communication control to 0.916 for financial performance. Data were analyzed by use of descriptive and inferential statistics. Descriptive analysis included; frequencies, Mean, Standard deviation and percentage, while inferential analysis involved regression analysis. The results showed a significant positive relationship between Accounting Information and Communication control and financial performance (r=0.661, P=0.000). Accounting Information and Communication control explained 43.7% (R2 =0.437) of variance in financial performance; the beta value for Accounting Information and Communication control from the regression model was 0.551 at p< 0.05. The study concluded that Accounting Information and Communication control has a significant positive effect on financial performance. The study recommended that SACCOs conduct periodic reviews of the effectiveness of its accounting information and communication system to ensure management receives timely, relevant, and reliable reports for decision-making.
Tour operators have ensured the success of the Kenyan tourism sector, poised to contribute to achieving key government economic policies like the Tourism Agenda 2018-2022, the National Tourism Blueprint 2030, and the Big-Four Agenda. However, due to the volatility of the tourism industry, stiff competition, rigid tourism policies, and pandemics, tour operators’ performance has recorded a 2% steady decline since 2011. Therefore, this paper explores the upscaling of performance using a differentiation strategy among tour operator companies in Nairobi City County. The study followed a descriptive design approach, with the balanced scorecard and Porter’s generic strategies forming the theoretical basis. Fifteen (15) company owners and 210 managers participated in the study. Data were collected using structured questionnaires and interviews. Stratified simple random sampling was used to sample respondents from the companies while purposive sampling was used to select company owners. Data collected were analyzed in SPSS (Ver.26) using descriptive statistics to infer variable characteristics. Inferential statistics; Pearson correlation, ANOVA, and simple linear regression were used to detect the strength of the relationship and test the hypothesis. Correlation analysis revealed a strong positive relationship between differentiation strategy and organizational performance (r=0.77, P=0.000), leading to the rejection of the null hypothesis. Regression analysis revealed an adjusted R2(0.602) indicating that differentiation strategy explains 60.2% of organizational performance’s variation (b=0.594, P=.000). The study recommends that tour operator companies should develop innovative packages based on place and price and significantly invest in R&D to enhance a strong brand for optimal performance. This study provides policymakers with an avenue to scrutinize levels of organizational performance using a strategic management approach.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |