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 2687-2293 • Journal website ↗
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.
2025 · Hummerly Dhoba · Primrose Mutema · Adedamola Temitope Akinlade
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: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 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: 27 Oct 2026 19:02 UTC — 29 Oct 2026 17:36 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 1 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 1 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-27T19:02:14.938322+00:00 — 2026-10-29T17:36:35.743445+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 0 | 6 | 6/6 |
| 2024 | All selected publications | 0 | 6 | 6/6 |
| 2025 | All selected publications | 0 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 6 | 6/6 |
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 |
|---|---|
| 2025 | 6 |
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 | 6 | 1 | 1 | 6/6 | 0.17 | 0.0 | 16.7 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
This study explores the nexus between population growth and unemployment in South Africa from 2000 to 2023, a period marked by significant demographic changes and economic challenges. South Africa has experienced rising unemployment alongside rapid population growth, which has led to concerns about the country’s ability to absorb its expanding labour force. The aim of this research is to examine how population growth influences unemployment, considering additional factors like foreign direct investment (FDI), gross domestic product (GDP), and inflation. Using time series data from the World Bank, Statistics South Africa, and the South African Reserve Bank, the study employs the Augmented Dickey-Fuller unit root test for stationarity, Johansen cointegration for long-term relationships, and Ordinary Least Squares (OLS) regression to estimate the impact of population growth on unemployment. Key findings indicate that population growth has a positive and statistically significant relationship with unemployment, meaning higher population growth increases unemployment levels. Foreign direct investment also shows a positive effect on unemployment, while GDP and inflation exhibit negative but statistically insignificant relationships. Based on these findings, the study recommends strategic urban planning, family planning initiatives, and targeted policies to attract labour-intensive FDI. Additionally, the government should focus on economic diversification, supporting SMEs, and investing in skill development to create sustainable jobs. This research contributes to understanding the dynamics between population growth and unemployment in South Africa and offers insights for more effective policy interventions.
The rapid advancement of technology has changed the world's civilization rapidly and provided many benefits to humans in various activities. Every individual, from children to adults will adapt to technology because daily life is very interchangeable to the use of technology, especially the internet to access social media, watch movies to find the latest news that spreads quickly. This study aims to identify the influence of Empathy, Self-Control and Parenting Style on adolescent Cyberbullying Behavior on Instagram social media. This study uses a quantitative method with a sampling technique, namely purposive sampling involving as many as 104 adolescent Instagram users as respondents. The instrument in this study is in the form of a questionnaire that is distributed through Google Form. The data of this study was tested using SPSS (Statistical Product and Service Solutions) software. The results of this study show that Empathy has a positive and significant influence on Cyberbullying behavior.Self-Control has a negative but not significant influence on Cyberbullying behavior. Parenting has a positive but also insignificant influence on Cyberbullying behavior. The results of this study indicate that the empathy factor is more dominant in influencing adolescent cyberbullying behavior when compared to self-control and parenting style.
This study investigates the impact of digital transformation leadership and customer agility on the performance of small and medium-sized enterprises (SMEs) in the Riau Islands, Indonesia. SMEs are pivotal to economic growth, yet they often face challenges in adapting to rapidly changing market conditions. Employing a sustainable development theory framework, the research explores how effective leadership in digital transformation and an agile approach to customer engagement can drive better performance outcomes. Findings reveal that while customer agility does not significantly correlate with SME performance, strong digital transformation leadership and well-implemented digital strategies initiatives are play crucial roles in enhancing operational effectiveness and performance. Study result highlights the necessity for SMEs to focus on cultivating innovative leadership that embraces digitization and developing strategies that respond swiftly to evolving customer needs. This research underscores the importance of integrating digital practices as a core component of sustainability efforts within SMEs. Ultimately, embracing effective digital transformation leadership is essential for SMEs seeking to thrive in increasingly competitive environments. The study recommends that future research should examine additional factors that may influence the performance of SMEs, providing a broader understanding of the dynamics at work in this critical sector.
This research analyses how a service firm develops an ecosystem and serves as the orchestrator. A unique coffee shop in a mountainous area was used as the subject because it has abundant resources to become an orchestrator and various distinctive traits. A single case study design was selected to enable researchers to analyse depth and rich data, covering all participants within the ecosystem. Using a holistic case study design enables investigators to explore complex interplays of ecosystem participants. This study demonstrates that a firm uses elements of dynamic capabilities to manage the evolving process of ecosystem dynamics, starting from the initial formation of the ecosystem to the maturity stage. Our analysis identifies what derivative capabilities can be created from each element of dynamic capabilities and how these derivative capabilities are employed for developing and managing partners involved in the ecosystem. This study establishes a contribution by examining a coffee shop, representing a small service firm, and its evolution into an ecosystem orchestrator role - an under-explored setting in prevailing orchestration literature concentrated on large platform corporations. Single case studies are often criticized because their generalizability is thin and their findings are narrow. However, this weakness has led to the advantage of presenting insights in detail and depth.
The purpose of this study is to investigate the Constitutional Court Decision Number 168/PUU-XXI/2023 concerning Law Number 6 of 2023 and its impact on national investment growth in Indonesia. This Constitutional Court Decision was stipulated on October 31, 2024, in response to the request for a material review of Law Number 6 of 2023 concerning the Stipulation of Government Regulation instead of Law Number 2 of 2022 concerning Job Creation into a Law related to changes to provisions originally regulated in Law Number 13 of 2003 concerning Manpower and the 1945 Constitution of the Republic of Indonesia. This research methodology uses a doctrinal legal research approach that focuses on the law and involves analyzing legal rules found in primary sources. This document uses data from scientific contributions published in academic research databases. The findings of this study are that labor laws are expected to reflect the national legal commitment to maintaining harmony between industry needs and worker protection so that the benefits can be felt by all parties involved in employment relations in Indonesia. Thus, this Constitutional Court decision is expected to create fairer labor standards in the form of creating an employment ecosystem in Indonesia. This scientific contribution concludes that labor laws and regulations are expected to be able to increase national investment growth in Indonesia. This study is of interest to various stakeholders, legislators, companies, academics, and others to encourage national economic growth in general, and national investment growth in particular after the Constitutional Court Decision Number 168/PUU-XXI/2023.
This study explores the nexus between population growth and unemployment in South Africa from 2000 to 2023, a period marked by significant demographic changes and economic challenges. South Africa has experienced rising unemployment alongside rapid population growth, which has led to concerns about the country’s ability to absorb its expanding labour force. The aim of this research is to examine how population growth influences unemployment, considering additional factors like foreign direct investment (FDI), gross domestic product (GDP), and inflation. Using time series data from the World Bank, Statistics South Africa, and the South African Reserve Bank, the study employs the Augmented Dickey-Fuller unit root test for stationarity, Johansen cointegration for long-term relationships, and Ordinary Least Squares (OLS) regression to estimate the impact of population growth on unemployment. Key findings indicate that population growth has a positive and statistically significant relationship with unemployment, meaning higher population growth increases unemployment levels. Foreign direct investment also shows a positive effect on unemployment, while GDP and inflation exhibit negative but statistically insignificant relationships. Based on these findings, the study recommends strategic urban planning, family planning initiatives, and targeted policies to attract labour-intensive FDI. Additionally, the government should focus on economic diversification, supporting SMEs, and investing in skill development to create sustainable jobs. This research contributes to understanding the dynamics between population growth and unemployment in South Africa and offers insights for more effective policy interventions.
The rapid advancement of technology has changed the world's civilization rapidly and provided many benefits to humans in various activities. Every individual, from children to adults will adapt to technology because daily life is very interchangeable to the use of technology, especially the internet to access social media, watch movies to find the latest news that spreads quickly. This study aims to identify the influence of Empathy, Self-Control and Parenting Style on adolescent Cyberbullying Behavior on Instagram social media. This study uses a quantitative method with a sampling technique, namely purposive sampling involving as many as 104 adolescent Instagram users as respondents. The instrument in this study is in the form of a questionnaire that is distributed through Google Form. The data of this study was tested using SPSS (Statistical Product and Service Solutions) software. The results of this study show that Empathy has a positive and significant influence on Cyberbullying behavior.Self-Control has a negative but not significant influence on Cyberbullying behavior. Parenting has a positive but also insignificant influence on Cyberbullying behavior. The results of this study indicate that the empathy factor is more dominant in influencing adolescent cyberbullying behavior when compared to self-control and parenting style.
This study investigates the impact of digital transformation leadership and customer agility on the performance of small and medium-sized enterprises (SMEs) in the Riau Islands, Indonesia. SMEs are pivotal to economic growth, yet they often face challenges in adapting to rapidly changing market conditions. Employing a sustainable development theory framework, the research explores how effective leadership in digital transformation and an agile approach to customer engagement can drive better performance outcomes. Findings reveal that while customer agility does not significantly correlate with SME performance, strong digital transformation leadership and well-implemented digital strategies initiatives are play crucial roles in enhancing operational effectiveness and performance. Study result highlights the necessity for SMEs to focus on cultivating innovative leadership that embraces digitization and developing strategies that respond swiftly to evolving customer needs. This research underscores the importance of integrating digital practices as a core component of sustainability efforts within SMEs. Ultimately, embracing effective digital transformation leadership is essential for SMEs seeking to thrive in increasingly competitive environments. The study recommends that future research should examine additional factors that may influence the performance of SMEs, providing a broader understanding of the dynamics at work in this critical sector.
This research analyses how a service firm develops an ecosystem and serves as the orchestrator. A unique coffee shop in a mountainous area was used as the subject because it has abundant resources to become an orchestrator and various distinctive traits. A single case study design was selected to enable researchers to analyse depth and rich data, covering all participants within the ecosystem. Using a holistic case study design enables investigators to explore complex interplays of ecosystem participants. This study demonstrates that a firm uses elements of dynamic capabilities to manage the evolving process of ecosystem dynamics, starting from the initial formation of the ecosystem to the maturity stage. Our analysis identifies what derivative capabilities can be created from each element of dynamic capabilities and how these derivative capabilities are employed for developing and managing partners involved in the ecosystem. This study establishes a contribution by examining a coffee shop, representing a small service firm, and its evolution into an ecosystem orchestrator role - an under-explored setting in prevailing orchestration literature concentrated on large platform corporations. Single case studies are often criticized because their generalizability is thin and their findings are narrow. However, this weakness has led to the advantage of presenting insights in detail and depth.
The purpose of this study is to investigate the Constitutional Court Decision Number 168/PUU-XXI/2023 concerning Law Number 6 of 2023 and its impact on national investment growth in Indonesia. This Constitutional Court Decision was stipulated on October 31, 2024, in response to the request for a material review of Law Number 6 of 2023 concerning the Stipulation of Government Regulation instead of Law Number 2 of 2022 concerning Job Creation into a Law related to changes to provisions originally regulated in Law Number 13 of 2003 concerning Manpower and the 1945 Constitution of the Republic of Indonesia. This research methodology uses a doctrinal legal research approach that focuses on the law and involves analyzing legal rules found in primary sources. This document uses data from scientific contributions published in academic research databases. The findings of this study are that labor laws are expected to reflect the national legal commitment to maintaining harmony between industry needs and worker protection so that the benefits can be felt by all parties involved in employment relations in Indonesia. Thus, this Constitutional Court decision is expected to create fairer labor standards in the form of creating an employment ecosystem in Indonesia. This scientific contribution concludes that labor laws and regulations are expected to be able to increase national investment growth in Indonesia. This study is of interest to various stakeholders, legislators, companies, academics, and others to encourage national economic growth in general, and national investment growth in particular after the Constitutional Court Decision Number 168/PUU-XXI/2023.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |