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: 25 / 25 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 — 28 Oct 2026 09:22 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.
23 / 25 with data · 2 missing or unmatched. Percentages use all 25 selected publications.
23 / 25 with data · 2 missing or unmatched. Percentages use all 25 selected publications.
25 / 25 with data · 0 missing or unmatched. Percentages use all 25 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 51 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 29 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 70 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 38 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 102 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 113 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 140 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 312 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 108 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 21 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 105 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 68 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 139 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 86 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 186 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 208 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 224 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 443 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 144 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 21 | 1 | 1/1 | 1/1 |
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 25 / 25 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): 2026-10-21T07:22:48.979999+00:00 — 2026-10-28T09:22:07.544861+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 | 15 | 25 | 25/25 |
| 2018 | All selected publications | 32 | 25 | 25/25 |
| 2019 | All selected publications | 44 | 25 | 25/25 |
| 2020 | All selected publications | 63 | 25 | 25/25 |
| 2021 | All selected publications | 129 | 25 | 25/25 |
| 2022 | All selected publications | 148 | 25 | 25/25 |
| 2023 | All selected publications | 224 | 25 | 25/25 |
| 2024 | All selected publications | 375 | 25 | 25/25 |
| 2025 | All selected publications | 354 | 25 | 25/25 |
| 2026 | All selected publications | 208 | 25 | 25/25 |
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 |
|---|---|
| 2013 | 2 |
| 2015 | 1 |
| 2016 | 3 |
| 2017 | 1 |
| 2019 | 3 |
| 2020 | 3 |
| 2021 | 3 |
| 2022 | 5 |
| 2023 | 3 |
| 2026 | 1 |
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 | 1 | 30 | 39 | 1/1 | 30.0 | 30 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 4 | 145 | 304 | 4/4 | 36.25 | 35.0 | 100.0 | 4/4 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 20 | 809 | 1281 | 20/20 | 40.45 | 28.5 | 100.0 | 20/20 · 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 purpose of this essay is to discuss the phases and challenges of the explanatory sequential design (ESD hereinafter) of mixed methods research (MMR hereinafter) by reviewing relevant literature. The literature was explored during the design stage of a Ph.D. project that sought to examine the relationship among social capital, education, and employment for foreign students graduating from several Estonian universities. The review finds that the explanatory sequential design of MMR is much more complex than just sequencing how and what kind of data to collect; it also entails selecting how data will be processed and presented using a range of techniques that are often riddled with difficulties. By addressing these ideas, this paper will aid those interested in comprehending the summary of the explanatory sequential design of MMR.
Today is the era of digitalization. Nowadays, people prefer to attach their lives to social media presence on Facebook, Instagram, Twitter, YouTube, and LinkedIn. Hence, manufacturers and producers use social media tremendously in this digital era to reach customers with their products and services. Thus, social media marketing has become famous for businesses to promote their products or services, engage with their customers, and build brand awareness. The present study focuses on reviewing the mediating role played by several social media platforms to gain the interest of consumers. This paper also aims to analyze the necessity of social media marketing compared to other marketing communication and promotion forms. This paper helps the reader decide whether to depend on social media only for marketing purposes or whether there can be a choice of another means. Without analyzing the pros and cons, relying heavily on social media platforms for marketing is not always a good idea. The author employed a qualitative and descriptive method for constructing the paper. This paper will review the literature regarding social media marketing compared to other means, try to recommend, and shed light on selecting the right marketing platform by different marketers. The study's main findings demonstrate that measures should be taken to enhance responsible use and limit some of its harmful effects. Furthermore, in providing insights into whether social media marketing is a necessity or a choice, the author suggests that productive utilization should be the main priority for all, whether social media or other platforms.
As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.
This review provides a comprehensive, step-by-step guide to the application of partial least squares structural equation modeling (PLS-SEM) for novice researchers. This is a conceptual and literature-based review that focuses on best practices and PLS-SEM literature. It highlights the rationale for using PLS-SEM, sample size, software tools, and essential metrics in PLS-SEM analysis. Drawing on best practices and recent literature, the review offers a framework for conducting and reporting PLS-SEM analysis. The review presents essential such as outer loadings, Cronbach’s alpha coefficients, average variance extracted (AVE), composite reliability, cross-loadings, Heterotrait-Monotrait ratio of correlations (HTMT), the Fornell-Larcker criterion, variance inflation factor (VIF), and redundancy analysis. Moreover, for more consistent results, the paper emphasizes on researchers to employ 10,000 bootstrap subsamples and Bias-corrected and accelerated (BCa) bootstrap in assessing the structural model. Insights regarding path coefficients, p-values, R-square (R2), f-square (f2), and Q-square (Q2), are also presented. Furthermore, the review underscores the trade-off between predictive power and model fit when applying PLS-SEM. The presented practical insights alert novice researchers in avoiding common pitfalls and enhance the methodological rigor of empirical research that utilizes PLS-SEM. This step-by-step guide supports early-career researchers and contributes to the ongoing debates on improving methodological clarity and transparency.
The purpose of the study was to investigate the roles of entrepreneurship and small and medium-sized businesses in fostering local economic development. Based on this assumption, this conceptual study attempts to investigate the function of small and medium-sized firms in LED. According to studies, the entrepreneurial spirit of the SME owner is a significant determinant of a SME's ability to surmount survival challenges and achieve sustainable growth. The article also attempts to locate and establish the purpose of the study by identifying the barriers that small and medium-sized businesses encounter in their efforts to contribute to economic growth and offering potential solutions to these barriers. Due to inadequate infrastructure development and a lack of the fundamental capabilities to control and influence local economic growth, the study concludes that exceptional measures are necessary to overcome obstacles such as finance and service. The purpose of this study is to answer the research question of whether the emphasis should be placed on creating competent entrepreneurs, particularly among previously disadvantaged individuals, if the government's goal to leverage the SMME sector is to have any significant success. It was noted that the LED is essential but has not been utilized frequently. Using a qualitative thematic analysis approach, the study accessed data on both private and public spaces primarily through secondary sources. The qualitative investigation accessed the foundational literature via a sophisticated search. According to the study, small and medium-sized enterprises play a crucial role in the promotion of LED. The study concluded, among other things, that the local level of governance in South African municipalities is incapable of providing basic services and the necessary infrastructure.
This study aimed to explore how soft skills development is done in higher education institutions (HEIs) by considering the roles of HEIs and students. The study used a mixed research approach comprising qualitative and quantitative methods. Qualitative data was collected from 16 students using semi-structured interviews. In comparison, quantitative data was collected using a standard questionnaire from 342 students pursuing management and administrative undergraduate programmes in one of the universities in Tanzania. Through questionnaires, participants were asked to rank soft skills according to their relevance to their careers. The top five most relevant soft skills identified were communication, leadership, decision-making, teamwork/orientation and problem-solving. In addition, participants self-evaluated their levels of soft skills. Findings demonstrate that students perceived to have more customer orientation, communication, decision-making, problem-solving, and work-ethic skills. Through qualitative interviews, participants narrated the role of HEIs in developing soft skills and their personal initiatives to acquire the skills. It was found that joining clubs and associations, taking leadership roles, reading self-development books, watching videos and attending soft skills training are initiatives that students use for soft skills acquisition.
Today is the era of digitalization. Nowadays, people prefer to attach their lives to social media presence on Facebook, Instagram, Twitter, YouTube, and LinkedIn. Hence, manufacturers and producers use social media tremendously in this digital era to reach customers with their products and services. Thus, social media marketing has become famous for businesses to promote their products or services, engage with their customers, and build brand awareness. The present study focuses on reviewing the mediating role played by several social media platforms to gain the interest of consumers. This paper also aims to analyze the necessity of social media marketing compared to other marketing communication and promotion forms. This paper helps the reader decide whether to depend on social media only for marketing purposes or whether there can be a choice of another means. Without analyzing the pros and cons, relying heavily on social media platforms for marketing is not always a good idea. The author employed a qualitative and descriptive method for constructing the paper. This paper will review the literature regarding social media marketing compared to other means, try to recommend, and shed light on selecting the right marketing platform by different marketers. The study's main findings demonstrate that measures should be taken to enhance responsible use and limit some of its harmful effects. Furthermore, in providing insights into whether social media marketing is a necessity or a choice, the author suggests that productive utilization should be the main priority for all, whether social media or other platforms.
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.
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 |