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.
ISSN 2147-4478 • Journal website ↗
New articles are checked daily. Citation sources are refreshed monthly. All times below are UTC. A successful check may find no new publications.
Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2022 · Kelvin Mwita
2022 · Kelvin Mwita
2021 · Mohammad Abu Sayed Toyon
2023 · Musammat Tahmina Khanom
2020 · Renz Louis Trinidad Montano · Katarina Margarita Lacaran Acebes
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: 2869 / 2884 publications (99.5%). 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 — 06 Nov 2026 22:39 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.
2753 / 2884 with data · 131 missing or unmatched. Percentages use all 2884 selected publications.
2751 / 2884 with data · 133 missing or unmatched. Percentages use all 2884 selected publications.
2869 / 2884 with data · 15 missing or unmatched. Percentages use all 2884 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 |
|---|---|---|---|---|---|
| 2011 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2012 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2013 | All selected publications | 23 | 23 | 23/23 | 23/23 |
| 2014 | All selected publications | 33 | 33 | 33/33 | 33/33 |
| 2015 | All selected publications | 20 | 20 | 20/20 | 20/20 |
| 2016 | All selected publications | 37 | 37 | 37/37 | 37/37 |
| 2017 | All selected publications | 35 | 35 | 35/35 | 35/35 |
| 2018 | All selected publications | 19 | 19 | 19/19 | 19/19 |
| 2019 | All selected publications | 123 | 123 | 123/123 | 123/123 |
| 2020 | All selected publications | 196 | 196 | 196/196 | 196/196 |
| 2021 | All selected publications | 261 | 261 | 261/261 | 261/261 |
| 2022 | All selected publications | 477 | 477 | 477/477 | 477/477 |
| 2023 | All selected publications | 492 | 492 | 492/492 | 492/492 |
| 2024 | All selected publications | 428 | 428 | 428/428 | 428/428 |
| 2025 | All selected publications | 382 | 382 | 381/382 | 381/382 |
| 2026 | All selected publications | 355 | 355 | 341/355 | 341/355 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2011 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2012 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2013 | All selected publications | 100 | 23 | 23/23 | 23/23 |
| 2014 | All selected publications | 66 | 33 | 33/33 | 33/33 |
| 2015 | All selected publications | 52 | 20 | 20/20 | 20/20 |
| 2016 | All selected publications | 133 | 37 | 37/37 | 37/37 |
| 2017 | All selected publications | 52 | 35 | 35/35 | 35/35 |
| 2018 | All selected publications | 44 | 19 | 19/19 | 19/19 |
| 2019 | All selected publications | 356 | 123 | 123/123 | 123/123 |
| 2020 | All selected publications | 559 | 196 | 196/196 | 196/196 |
| 2021 | All selected publications | 828 | 261 | 261/261 | 261/261 |
| 2022 | All selected publications | 1476 | 477 | 477/477 | 477/477 |
| 2023 | All selected publications | 1242 | 492 | 492/492 | 492/492 |
| 2024 | All selected publications | 593 | 428 | 428/428 | 428/428 |
| 2025 | All selected publications | 191 | 382 | 381/382 | 381/382 |
| 2026 | All selected publications | 41 | 355 | 341/355 | 341/355 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2011 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2012 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2013 | All selected publications | 264 | 23 | 23/23 | 23/23 |
| 2014 | All selected publications | 233 | 33 | 33/33 | 33/33 |
| 2015 | All selected publications | 119 | 20 | 20/20 | 20/20 |
| 2016 | All selected publications | 299 | 37 | 37/37 | 37/37 |
| 2017 | All selected publications | 128 | 35 | 35/35 | 35/35 |
| 2018 | All selected publications | 107 | 19 | 19/19 | 19/19 |
| 2019 | All selected publications | 876 | 123 | 123/123 | 123/123 |
| 2020 | All selected publications | 1158 | 196 | 196/196 | 196/196 |
| 2021 | All selected publications | 1702 | 261 | 261/261 | 261/261 |
| 2022 | All selected publications | 2392 | 477 | 477/477 | 477/477 |
| 2023 | All selected publications | 1779 | 492 | 492/492 | 492/492 |
| 2024 | All selected publications | 721 | 428 | 428/428 | 428/428 |
| 2025 | All selected publications | 198 | 382 | 381/382 | 381/382 |
| 2026 | All selected publications | 50 | 355 | 341/355 | 341/355 |
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 2869 / 2884 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): 2026-10-21T07:22:43.062987+00:00 — 2026-11-06T22:39:45.760097+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 | 51 | 2884 | 2869/2884 |
| 2018 | All selected publications | 92 | 2884 | 2869/2884 |
| 2019 | All selected publications | 149 | 2884 | 2869/2884 |
| 2020 | All selected publications | 226 | 2884 | 2869/2884 |
| 2021 | All selected publications | 488 | 2884 | 2869/2884 |
| 2022 | All selected publications | 900 | 2884 | 2869/2884 |
| 2023 | All selected publications | 1741 | 2884 | 2869/2884 |
| 2024 | All selected publications | 2368 | 2884 | 2869/2884 |
| 2025 | All selected publications | 2318 | 2884 | 2869/2884 |
| 2026 | All selected publications | 1572 | 2884 | 2869/2884 |
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 |
|---|---|
| 2011 | 1 |
| 2012 | 2 |
| 2013 | 23 |
| 2014 | 33 |
| 2015 | 20 |
| 2016 | 37 |
| 2017 | 35 |
| 2018 | 19 |
| 2019 | 123 |
| 2020 | 196 |
| 2021 | 261 |
| 2022 | 477 |
| 2023 | 492 |
| 2024 | 428 |
| 2025 | 382 |
| 2026 | 355 |
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 Research in Business and Social Science SSBFNET | 2884 | 5733 | 10031 | 2869/2884 | 2.0 | 1 | 55.8 | 2869/2884 · 99.5% |
* 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.
Experiencing a pandemic and being quarantined have been proven to have debilitating effects in mental health. Some of the existing studies mentioned in this research have been conducted to assess the presence of possible mental health concerns brought about by the pandemic but most of these studies focused on the earlier phase of the pandemic. The present study focuses on the reported distress of the respondents who have been through a strict quarantine since March 2020 and are now experiencing a more relaxed lockdown. The objective of this research is to determine if COVID stress predicts common mental health concerns such as stress, depression and anxiety. A survey was conducted with 421 Filipino respondents ages 15 – 65 utilizing the COVID Stress Scales (CSS) by Taylor et al. (2020) and DASS-21. Correlational analysis was utilized showing the COVID Stress is a predictor of depression, anxiety, and stress symptoms. Then, comparative analyses were conducted to determine if differences of COVID stress across age groups, gender, occupation, and exposure. The results show that students and unemployed respondents are highly vulnerable to COVID stress and its mental health implications. Men and women did not significantly differ in distress. Surprisingly, those who have a COVID positive family member had the lowest COVID stress and DASS scores. There were 40.7% percent who experienced moderate to severe stress, 60.3% had moderate to severe anxiety and 53.1% of the respondents had moderate to severe depression. These findings show that the pandemic stress has debilitating effects on mental health. Common mental health concerns (e.g. depression and anxiety) may be highly prevalent due to the COVID-19 pandemic
Road infrastructure is essential for socioeconomic development, market access and public service delivery. However, effective implementation requires leadership capabilities that address emerging challenges and operational constraints. This study examined the influence of problem-solving skills on road infrastructure project implementation in Kitui County, Kenya. The study was guided by Path–Goal Theory and adopted a positivist research philosophy and descriptive survey research design. The target population comprised 600 employees involved in planning, procurement, supervision, technical implementation and administration of road infrastructure projects within the Kitui County Department of Public Works and Infrastructure. Proportionate stratified random sampling was used to select 240 respondents. Data were collected using structured questionnaires and analysed using the Statistical Package for the Social Sciences (SPSS) Version 26. Descriptive statistics, Pearson’s correlation and simple linear regression were employed. Of the 240 questionnaires distributed, 175 were returned, representing a response rate of 72.9%. The findings revealed a positive and statistically significant relationship between problem-solving skills and road infrastructure project implementation (r = 0.640, p < 0.001). Regression results further indicated that problem-solving skills significantly predicted project implementation (β = 0.640, B = 0.707, p < 0.001), explaining 41.0% of the variation in implementation outcomes (R² = 0.410). The study concludes that problem-solving skills are important for addressing implementation challenges and improving road infrastructure project outcomes. It recommends that the County Government of Kitui strengthen leadership development through training in problem identification, analytical decision-making, adaptive responses and innovative problem-solving to support timely project completion, efficient resource utilization and compliance with required quality standards.
Namibia’s farming sector faces recurrent drought, water scarcity and uneven access to agricultural services. This structured narrative review examines the relevance of Big Data to commercial and small-scale farming through the pathway from data collection to usable decisions. It draws on research and institutional reports on remote sensing, precision agriculture, analytics, advisory services and data governance. Search dates, executed queries, selection counts and source-level appraisal records remain unverified; systematic coverage is not claimed. The synthesis distinguishes Namibia-specific documentation, findings from African settings whose comparability requires assessment, and potential local uses inferred from international research. Namibian sources establish sector context but do not substantiate measured farming benefits attributable to Big Data. African literature informs adoption and access considerations, while international reviews describe technical applications and implementation requirements. Candidate uses include crop and pasture monitoring, irrigation support, livestock information, forecasting and drought preparedness. The review’s contribution is a Namibia-focused interpretation of where data-to-decision pathways may fail, particularly when farmers cannot afford or act on advice. Proposed responses identify advisory services, farmer organisations, public data custodians and technology providers as potential actors, subject to local validation, affordability and accountable governance. These are recommendations for testing, not demonstrated effects. Locally evaluated changes in decisions, resource use, productivity, resilience and income are needed before impact claims can be made.
The fluctuation of firm value of companies listed in Nairobi Securities Exchange (NSE) has been a consequence of a number of determinants. Carbon emission disclosure has been a subject of concern by many stakeholders since the advent of global warming aspect worldwide. On this basis this study investigated the effect of carbon emission disclosure on firm value of listed companies in the NSE and further, interrogated the moderating role of corporate characteristics (firm size, leverage and profitability) on this relationship. The inquiry focuses on listed companies in the NSE for the period 2022 to 2024. Anchored on the stakeholder, legitimacy and resource-based-view theories, the study combined explanatory longitudinal and ex-post-facto research designs. From a population of 64 listed companies by December 2024, an initial sample of 54 companies was purposively selected. The final response rate was 43 (80%) firms that entered the final analysis. The study was anchored on the stakeholder theory, legitimacy theory and resource-based view theory. Secondary data obtained from the sampled company annual integrated reports and/or sustainability report for the 3 year period was described using descriptive statistics and analyzed using hierarchical regression methods in SPSS version 27. From the study findings it is revealed that carbon emission disclosure has a statistically significant negative effect on firm value. While corporate characteristics of firm size and leverage were found not to significantly influence the relationship, profitability was found to moderate the relationship between carbon emission disclosure and firm value. The negative interaction with profitability does not however support the argument that firms can buffer profitability through carbon disclosure. There is a need for enhanced assurance and comparability in carbon disclosure by regulators. Firms should also endeavor to link carbon disclosure to credible transition plans and financially responsible decarbonization strategies.
The implementation of Artificial Intelligence (AI) in the oil and gas sector is increasingly expanding as an effort to improve operational efficiency and support employees’ work activities. However, the successful adoption of AI depends not only on the availability of technology but also on employees’ level of acceptance and ability to utilize it effectively. This study aims to analyze the impact of AI Acceptance on employee productivity at PT Seashore and identify the factors that cause AI acceptance to have not yet resulted in optimal productivity improvements. This study employs a qualitative approach using a case study method through semi-structured interviews with three AI-using employees and four key informants. Data were analyzed thematically based on the Technology Acceptance Model (TAM) perspective using Open Code. The findings indicate that AI Acceptance has a good impact on productivity, particularly in administrative, repetitive, and structured tasks, by saving time and improving efficiency. However, this impact remains suboptimal due to limitations in prompting, inaccuracies and hallucinations, the need for verification and rework, the risk of overreliance, limited technical understanding, task suitability, and constraints related to AI access and governance.
This article examines financial and non-financial constraints reported by township small businesses and considers their implications for enterprise support in emerging economies. A descriptive secondary analysis uses reported survey results from a research project commissioned by the Small Enterprise Development Agency (SEDA), comprising 521 completed responses across ten broader city regions in South Africa. Results are organised into finance, business capability, market access and the operating environment. Lack of finance was reported by 55.9% and inadequate training by 55.7%; infrastructure deficiencies, staffing and service provision were also prominent. Obtaining funding was regarded as difficult by 88.4%, while 49.0% regarded market access as very difficult. These aggregate results identify prominent constraints across the sample but do not establish their co-occurrence within individual enterprises or their effects on performance. The contribution is an organising framework for interpreting township evidence and developing an enterprise diagnostic approach. Coordinated, needs-based support is proposed for future evaluation; its effectiveness is not tested in this study. Coverage of registered businesses in the SEDA database, non-response and unverified item response bases limit wider applicability.
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 |
|---|---|---|
| Not available · | Not run |