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: 3 / 3 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 — 22 Oct 2026 01:38 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 12 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 15 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-21T07:22:43.916186+00:00 — 2026-10-22T01:38:03.977316+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 1 | 3 | 3/3 |
| 2023 | All selected publications | 4 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 6 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2022 | 3 |
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 | 3 | 12 | 15 | 3/3 | 4.0 | 2 | 100.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
It remains unclear how lack of management succession planning relates to the collapse of 87% of the Tanzanian family-owned manufacturing businesses (FOMBs) after the first generation. Also, the question of whether a firm’s background variables, namely; executive’s education level, business age, and business size, moderate the relationship between management succession planning and the survival of FOMBs remains unanswered. Therefore, this study investigated the relationship between succession planning and the survival of FOMBs, moderated by the firm’s background variables through the lens of resource-based theory as well as agency theory. A sample of 339 executives was randomly drawn from the FOMBs in Dar es Salaam city where the collapse of FOMBs after the first generation was revealed to be significant and surveyed using a structured questionnaire. Multiple linear regression was used as a quantitative data analysis technique with the support of SPSS as an analytical tool. Results revealed that management succession variables, namely; training the successor, successor involvement in business management and successor factors-work fit had a positive and significant relationship with the survival of FOMBs. However, the internal recruitment of the successor had an insignificant relationship with the survival of FOMBs. Therefore, management succession planning sustains the leadership pipeline and survival of the FOMBs through the involvement of the successor in business management, sufficiently training the successor, and handing over power to the successor whose competency and factors fit with the relevant work. The study contributes to an understanding of management succession planning variables and how they relate to the survival of family-owned manufacturing businesses. The study also provides a new conceptual framework on transgenerational management succession planning in the FOMBs.
This study explains the modes of intergenerational succession by female successors in Chinese family businesses and the selection mechanism. In view of the family businesses to which females (daughters) belong, this paper proposes five types of intergenerational succession modes of family businesses, namely the kindred-based succession by the daughter, kindred-based succession by others, joint succession by the daughter and her siblings, joint succession by the daughter and her husband (son-in-law), and succession by a professional manager. By means of case analysis, this study also explores the driving forces for choosing a proper model from the above five succession modes, including family structure, the father’s and business owner’s attitudes, and the daughter’s attitude toward succession, etc. This paper contributes to the domain of the intergenerational succession mode by ‘female (daughter) successors’ in Chinese family-owned businesses theoretically and practically.
High family ownership in East Asia creates conflicts of interest between shareholders and minorities that affect the likelihood of value. This study examined the effect of family ownership on firm value. In addition, this study also examines the mediating role of financial performance and corporate governance in the relationship between family ownership and firm value. This research includes explanatory research with a quantitative method approach. Path analysis test is used to test the research hypothesis. The object used in this research is the basic and chemical industry sector in 2016-2019. The population in this study found 72 companies using 19 companies as research samples. This study uses a purposive sample method. The data collected is secondary data and analyzed by descriptive statistics. The results of the study prove that family ownership has a significant positive effect on firm value, family ownership has a significant positive effect on financial performance, family ownership has a significant positive effect on corporate governance, financial performance has a significant positive effect on firm value, corporate governance has a significant positive effect on firm value. Financial performance and corporate governance mediate the relationship of family ownership to firm value in the basic and chemical industry sector in 2016-2019. It should be emphasized that improving financial performance and implementing a good corporate governance system are the main keys to increasing company value.
High family ownership in East Asia creates conflicts of interest between shareholders and minorities that affect the likelihood of value. This study examined the effect of family ownership on firm value. In addition, this study also examines the mediating role of financial performance and corporate governance in the relationship between family ownership and firm value. This research includes explanatory research with a quantitative method approach. Path analysis test is used to test the research hypothesis. The object used in this research is the basic and chemical industry sector in 2016-2019. The population in this study found 72 companies using 19 companies as research samples. This study uses a purposive sample method. The data collected is secondary data and analyzed by descriptive statistics. The results of the study prove that family ownership has a significant positive effect on firm value, family ownership has a significant positive effect on financial performance, family ownership has a significant positive effect on corporate governance, financial performance has a significant positive effect on firm value, corporate governance has a significant positive effect on firm value. Financial performance and corporate governance mediate the relationship of family ownership to firm value in the basic and chemical industry sector in 2016-2019. It should be emphasized that improving financial performance and implementing a good corporate governance system are the main keys to increasing company value.
This study explains the modes of intergenerational succession by female successors in Chinese family businesses and the selection mechanism. In view of the family businesses to which females (daughters) belong, this paper proposes five types of intergenerational succession modes of family businesses, namely the kindred-based succession by the daughter, kindred-based succession by others, joint succession by the daughter and her siblings, joint succession by the daughter and her husband (son-in-law), and succession by a professional manager. By means of case analysis, this study also explores the driving forces for choosing a proper model from the above five succession modes, including family structure, the father’s and business owner’s attitudes, and the daughter’s attitude toward succession, etc. This paper contributes to the domain of the intergenerational succession mode by ‘female (daughter) successors’ in Chinese family-owned businesses theoretically and practically.
It remains unclear how lack of management succession planning relates to the collapse of 87% of the Tanzanian family-owned manufacturing businesses (FOMBs) after the first generation. Also, the question of whether a firm’s background variables, namely; executive’s education level, business age, and business size, moderate the relationship between management succession planning and the survival of FOMBs remains unanswered. Therefore, this study investigated the relationship between succession planning and the survival of FOMBs, moderated by the firm’s background variables through the lens of resource-based theory as well as agency theory. A sample of 339 executives was randomly drawn from the FOMBs in Dar es Salaam city where the collapse of FOMBs after the first generation was revealed to be significant and surveyed using a structured questionnaire. Multiple linear regression was used as a quantitative data analysis technique with the support of SPSS as an analytical tool. Results revealed that management succession variables, namely; training the successor, successor involvement in business management and successor factors-work fit had a positive and significant relationship with the survival of FOMBs. However, the internal recruitment of the successor had an insignificant relationship with the survival of FOMBs. Therefore, management succession planning sustains the leadership pipeline and survival of the FOMBs through the involvement of the successor in business management, sufficiently training the successor, and handing over power to the successor whose competency and factors fit with the relevant work. The study contributes to an understanding of management succession planning variables and how they relate to the survival of family-owned manufacturing businesses. The study also provides a new conceptual framework on transgenerational management succession planning in the FOMBs.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |