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: 6 / 6 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 03:35 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 1 | 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 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): 2026-10-21T07:22:43.942716+00:00 — 2026-10-22T03:35:12.065737+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 | 5 | 6 | 6/6 |
| 2023 | All selected publications | 2 | 6 | 6/6 |
| 2024 | All selected publications | 3 | 6 | 6/6 |
| 2025 | All selected publications | 2 | 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 |
|---|---|
| 2020 | 2 |
| 2021 | 3 |
| 2022 | 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 Research in Business and Social Science SSBFNET | 6 | 7 | 13 | 6/6 | 1.17 | 1.5 | 66.7 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this paper is to determine the Key Success Factors in the operationalization of BP. Tapera (Public Housing Savings Implementing Agency), so that solutions to the challenges faced by institutions in the future will be found, as well as ways to achieve successful performance. As results of external analysis research, showing several key success factors, including high economic growth, large population, implementation of mandatory Tapera membership, high yielding Tapera fund accumulation, transparent and accountable Tapera administration principles, the culture of mutual cooperation and humanity, availability of adequate office/branch services, availability of integrated IT, Decrease Termination of Employment, Employment Increase, Price Stability, Equitable Development Results, Participant Awareness and Trust, Employer Support, Land Bank Availability. As a follow-up study, BP. Tapera must immediately develop and perform strategies to implement these key success factors.
The purpose of this study is to understand the relationship between the Knowledge Exchange & Combination (KEC) and the Leader-Member Exchange (LMX). The research uses objects in the construction industry, which have characteristics: intense competition between players, innovation must be created in a short time and is a form of project-based organization. This study uses a unit of analysis of the dyadic relationship between the general manager as the leader and the project manager as a follower, the research sample is in the form of 121 projects scattered throughout the country, while the research object is an SOE construction company in Indonesia. The participation rate was 97.52 percent, namely 118 projects, while the analysis used descriptive statistics and correlation methods. The results showed that the KEC variable was correlated with the LMX variable, especially with the Influence Dimension of 0.789 and the Dimension of Professional Rewards 0.700. Therefore, KEC can be represented by LMX's perception of followers.
The objective of this research is to understand the characteristic of the LMX relationship between leader and follower in the construction industry (in the context of a project-based organization) with followers as the provider of ideas and knowledge. This research is conducted in a construction state-own enterprise (SOE) in Indonesia, selected due to tight competition and the consequential need for innovation within short timescales. This study involves all 121 projects that existed at the time of data collection, and the unit of analysis is a dyadic relationship between general managers (as leader) and project managers (as a follower). Of these dyads, only 118 dyads can be analyzed (97.52 percent participation rate) and the analysis method used in this study is descriptive statistical analysis. The findings indicate the presence of statistic similarity between leaders and followers in case: the man’s gender 98,3%, regional origin match 42,4%, similarity level of education 39,8%, the similarity of ownership of construction certification 71,2%, the duration of the current working relationship with the leader for 13 to 24 months (49,2%), the duration of knowing current leader in the company for above 5 years (60%). Therefore, the demographic similarity is an important characteristic of high-quality LMX.
This study aims to implement a SWOT Analysis of the operationalization of BP. Tapera (Badan PelaksanaTabungan Perumahan Rakyat or translated in English as Public Housing Savings Implementing Agency), so that we can see the challenges the agency is facing in the future. The research method used is the external analysis and internal analysis of the strategic management model. Based on the results of SWOT analysis research, there are opportunities for high economic growth and a large population, while threats are requiring high Operational costs and IT investment costs, whilst the strengths are a culture of mutual cooperation and transparent information system, on the other hand, weaknesses have no branches and weak human resources. In conclusion, BP. Tapera must immediately formulate and implement strategies to respond to the SWOT analysis.
The purpose of this study is to understand the characteristics of Follower's Personal Mastery in the construction industry where followers are the givers of ideas and knowledge. We recognize the construction industry as one of the project-based organizations, has stiff competition criteria and the need for innovation in a short time span, so this research is very important because innovation results from the exchange of ideas and knowledge between leaders and followers ( Nahapiet & Ghoshal, 1998) through the Leader-member Exchange (LMX) mechanism (Dewanto, 2013). Leaders are known to have comprehensive general knowledge, while followers are known to have deep specialized knowledge (Hobday, 2000; Dewanto, 2013). The higher the Follower's Personal Mastery level, the higher the quality of the exchange of ideas and knowledge that is exchanged between followers and leaders. We chose research conducted in a construction State-Owned Enterprise (BUMN) in Indonesia which has many branches throughout the region, so that it is able to represent the construction industry. This study involved all 121 projects spread across Indonesia that existed at the time of data collection. The analytical method used in this research is descriptive statistical analysis, and the participation rate is 97.52 percent. The findings show that Follower’s Personal Mastery Variables has a high level with a mean of 4.56, especially In-Process Behavior 4.77 and Output Behavior 4.73.
The purpose of this study is to understand the characteristics of Follower's Personal Mastery in the construction industry where followers are the givers of ideas and knowledge. We recognize the construction industry as one of the project-based organizations, has stiff competition criteria and the need for innovation in a short time span, so this research is very important because innovation results from the exchange of ideas and knowledge between leaders and followers ( Nahapiet & Ghoshal, 1998) through the Leader-member Exchange (LMX) mechanism (Dewanto, 2013). Leaders are known to have comprehensive general knowledge, while followers are known to have deep specialized knowledge (Hobday, 2000; Dewanto, 2013). The higher the Follower's Personal Mastery level, the higher the quality of the exchange of ideas and knowledge that is exchanged between followers and leaders. We chose research conducted in a construction State-Owned Enterprise (BUMN) in Indonesia which has many branches throughout the region, so that it is able to represent the construction industry. This study involved all 121 projects spread across Indonesia that existed at the time of data collection. The analytical method used in this research is descriptive statistical analysis, and the participation rate is 97.52 percent. The findings show that Follower’s Personal Mastery Variables has a high level with a mean of 4.56, especially In-Process Behavior 4.77 and Output Behavior 4.73.
The purpose of this paper is to determine the Key Success Factors in the operationalization of BP. Tapera (Public Housing Savings Implementing Agency), so that solutions to the challenges faced by institutions in the future will be found, as well as ways to achieve successful performance. As results of external analysis research, showing several key success factors, including high economic growth, large population, implementation of mandatory Tapera membership, high yielding Tapera fund accumulation, transparent and accountable Tapera administration principles, the culture of mutual cooperation and humanity, availability of adequate office/branch services, availability of integrated IT, Decrease Termination of Employment, Employment Increase, Price Stability, Equitable Development Results, Participant Awareness and Trust, Employer Support, Land Bank Availability. As a follow-up study, BP. Tapera must immediately develop and perform strategies to implement these key success factors.
Presidential Regulation No. 191/2014, regulates the subsidy policy for Gas Oil, which is a fixed subsidy. Meanwhile, the retail selling price of Gas Oil will fluctuate in the society according to the formula calculation. However, since April 2016 the price of Gas Oil has been fixed. In certain cases, the determination of the retail selling price may differ from the calculation of the formula considering the state's financial capacity, the purchasing power of the people, and the real economy. This research will examine the influence of the state's financial capacity, the purchasing power of the people, and the real economy, either partially or simultaneously, on the policy of determining the retail sale price, and its impact. The test was carried out through multiple linear regression analysis using IBM Statistics 20. The results showed that the state's financial capacity and the real economy had a significant effect on the retail selling price policy for JBT Solar Oil. Meanwhile, people's purchasing power does not have a significant effect. The determination of the retail selling price of Gas Oil that is not in accordance with the calculation formula may give an impact on society, business entities, and the government.
The purpose of this study is to understand the relationship between the Knowledge Exchange & Combination (KEC) and the Leader-Member Exchange (LMX). The research uses objects in the construction industry, which have characteristics: intense competition between players, innovation must be created in a short time and is a form of project-based organization. This study uses a unit of analysis of the dyadic relationship between the general manager as the leader and the project manager as a follower, the research sample is in the form of 121 projects scattered throughout the country, while the research object is an SOE construction company in Indonesia. The participation rate was 97.52 percent, namely 118 projects, while the analysis used descriptive statistics and correlation methods. The results showed that the KEC variable was correlated with the LMX variable, especially with the Influence Dimension of 0.789 and the Dimension of Professional Rewards 0.700. Therefore, KEC can be represented by LMX's perception of followers.
This study aims to implement a SWOT Analysis of the operationalization of BP. Tapera (Badan PelaksanaTabungan Perumahan Rakyat or translated in English as Public Housing Savings Implementing Agency), so that we can see the challenges the agency is facing in the future. The research method used is the external analysis and internal analysis of the strategic management model. Based on the results of SWOT analysis research, there are opportunities for high economic growth and a large population, while threats are requiring high Operational costs and IT investment costs, whilst the strengths are a culture of mutual cooperation and transparent information system, on the other hand, weaknesses have no branches and weak human resources. In conclusion, BP. Tapera must immediately formulate and implement strategies to respond to the SWOT analysis.
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 |