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: 10 / 10 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 00:14 UTC — 21 Oct 2026 07:23 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.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | 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 10 / 10 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): 2026-10-21T00:14:27.771040+00:00 — 2026-10-21T07:23:01.326411+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 | 10 | 10/10 |
| 2018 | All selected publications | 0 | 10 | 10/10 |
| 2019 | All selected publications | 2 | 10 | 10/10 |
| 2020 | All selected publications | 2 | 10 | 10/10 |
| 2021 | All selected publications | 1 | 10 | 10/10 |
| 2022 | All selected publications | 3 | 10 | 10/10 |
| 2023 | All selected publications | 8 | 10 | 10/10 |
| 2024 | All selected publications | 5 | 10 | 10/10 |
| 2025 | All selected publications | 4 | 10 | 10/10 |
| 2026 | All selected publications | 4 | 10 | 10/10 |
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 |
|---|---|
| 2016 | 1 |
| 2019 | 2 |
| 2021 | 2 |
| 2022 | 2 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 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 | 2 | 4 | 5 | 2/2 | 2.0 | 2.0 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 8 | 11 | 24 | 8/8 | 1.38 | 1.5 | 75.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to define the effect of transformational leadership on knowledge sharing; this study also seeks to analyze the mediating role of self-efficacy and trust in leaders in the connection between transformational leadership and knowledge sharing. This quantitative study used a questionnaire with a simple random sampling technique to collect data. Questionnaire measurement uses a Likert scale from 1 – 5, distributed with the help of jakpat.net as a media survey. Respondents in this study were staff-level hotel employees throughout Indonesia, with a total of 143 respondents. Data were analyzed and processed by the PLS-SEM method and path analysis. The bootstrapping method is used to test the hypothesis. This study indicates that transformational leadership has a positive and significant impact on knowledge sharing, transformational leadership has a positive and significant effect on self-efficacy, and transformational leadership has a positive and significant impact on trust in leaders. Then self-efficacy and faith in a leader positively and significantly impact knowledge sharing. It has also been confirmed that there is a mediating role of self-efficacy and trust in the leader in the indirect relationship between transformational leadership and knowledge sharing.
Dynamic competition conditions in present day bring about the consequence for businesses to face varied problems with each passing day. At this point, current management approaches include studies that would shed light on the new problems of businesses. Organizational Silence, a concept that has recently been being voiced in business world, has come up in such context. Organizational silence could be expressed as the employee behavior of keeping silent about certain negativities due to various reasons in an organization. Since knowledge sharing in modern organizations is of capital importance in terms of responding hastily to the changes in a competitive environment, spread of this behavior of employees to organization culture and climate presents a threat of indifference. In this study, the concept of Organizational Silence is defined and the effects of conceived silence climate on management of organizations are discussed.
Knowledge management is becoming indispensable in organizations since it is a powerful weapon for achieving competitive advantage. However, there is still a dearth of literature for employees and managers in organizations to link their investments in knowledge management and the value the organization gets in terms of employee engagement. This study was designed to assess knowledge management and employee engagement in the hospitality industry in the North Rift region of Kenya. An explanatory research design was adopted with a target population of 580 employees from star-rated hotels in the North Rift region out of which a sample size of 234 respondents was picked. Data was collected using questionnaires and interviews and analyzed using descriptive and inferential statistics using SPSS version 25.0 for quantitative data and thematic analysis of interview data. From findings, knowledge management explained a 50.4 percent variation in employee engagement. A coefficient of .728 indicated that a unit change in knowledge management leads to .728 units of positive change in employee engagement. Knowledge management significantly affects employee engagement thus the rejection of the null hypothesis. The hospitality business should invest in proper employee knowledge-sharing initiatives to enhance employee competence and motivation, resulting in high levels of engagement. The finding of this study can help major stakeholders in the hospitality industry to strengthen knowledge management for employee engagement.
This paper aims to investigate the mediating role of explicit knowledge sharing in the relationship between empowering leadership and proactive work behavior in defense industry enterprises. The sample of this study consists of defense industry enterprises operating within the borders of Turkey. A total of 305 survey data were collected from these enterprises using the random sampling method, and 5 survey data among them were eliminated because of missing information, and analyzes were made with a total of 301 survey data. Structural equation modeling was used to test the research model and hypotheses. According to the analysis results of the study, empowering leadership has a positive effect on proactive work behavior and explicit knowledge sharing. In addition, it has been understood that open information sharing has a positive effect on proactive work behavior. Finally, it has been revealed that explicit knowledge sharing has a mediating role in the relationship between empowering leadership and proactive work behavior.
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.
Knowledge-sharing is essential for organizations that seek to maximize collective intelligence, foster collaboration, and enhance employee relations. Effective communication accelerates the exchange of ideas, ensuring that knowledge is shared accurately within groups. Knowledge sharing and organizational communication are essential characteristics of any organization, and employees must support each other to survive internal organizational dynamics. The study aims to understand the relationship between knowledge sharing, organizational communication, and artificial intelligence (AI). The study examined how organizational communication strengthens knowledge sharing and how AI technologies enhance the connection. A systematic literature review analysis was conducted using the PRISMA flow diagram to explore the effect of communication strategies on knowledge sharing and identify how AI tools can streamline these processes. Data from databases such as Google Scholar, Web of Science, and Science Direct were accessed. The analysis indicated that incorporating AI technologies to improve knowledge sharing and organizational communication minimizes costs, increases employee productivity, streamlines workflows, provides faster information retrieval, and enhances decision-making. However, despite its possible benefits, incorporating AI in organizational communication strategies does not come without challenges. The study recommends how organizations can encourage employee knowledge sharing through communications and AI to improve employee relations and organizational performance. It is additionally essential to reflect on how AI can be brought in strategically to break the barriers around effective knowledge sharing and organizational communication. Sharing knowledge and communicating effectively across an organization is more critical than ever in today’s fast-paced business environment.
This research aims to explore the recognized advantages of Communities of Practice (CoPs) in enhancing knowledge sharing and spurring organizational transformation. Despite their acknowledged importance, CoPs often receive inadequate attention or representation in numerous organizations, likely due to leaders' unfamiliarity or insufficient skills to manage such groups. This study introduces the "Real Option Perspective" as the recommended approach for top executives to understand and leverage CoPs. Initially, it clarifies the concepts of CoPs and the Real Option Perspective, highlighting their significance. These concepts then lay the groundwork for developing a management model for CoPs. The proposed management trajectory for CoPs involves five phases: Investment in CoPs, Recognition of Stagnation, Re-engagement with CoPs, Transition of Value, and finally, Dissolution and Feedback. This research seeks to expand the applicability of the Real Options framework in managing CoPs, providing leaders with strategic insights to fully realize the potential of CoPs in line with organizational objectives.
This study aims to define the effect of transformational leadership on knowledge sharing; this study also seeks to analyze the mediating role of self-efficacy and trust in leaders in the connection between transformational leadership and knowledge sharing. This quantitative study used a questionnaire with a simple random sampling technique to collect data. Questionnaire measurement uses a Likert scale from 1 – 5, distributed with the help of jakpat.net as a media survey. Respondents in this study were staff-level hotel employees throughout Indonesia, with a total of 143 respondents. Data were analyzed and processed by the PLS-SEM method and path analysis. The bootstrapping method is used to test the hypothesis. This study indicates that transformational leadership has a positive and significant impact on knowledge sharing, transformational leadership has a positive and significant effect on self-efficacy, and transformational leadership has a positive and significant impact on trust in leaders. Then self-efficacy and faith in a leader positively and significantly impact knowledge sharing. It has also been confirmed that there is a mediating role of self-efficacy and trust in the leader in the indirect relationship between transformational leadership and knowledge sharing.
Knowledge management is becoming indispensable in organizations since it is a powerful weapon for achieving competitive advantage. However, there is still a dearth of literature for employees and managers in organizations to link their investments in knowledge management and the value the organization gets in terms of employee engagement. This study was designed to assess knowledge management and employee engagement in the hospitality industry in the North Rift region of Kenya. An explanatory research design was adopted with a target population of 580 employees from star-rated hotels in the North Rift region out of which a sample size of 234 respondents was picked. Data was collected using questionnaires and interviews and analyzed using descriptive and inferential statistics using SPSS version 25.0 for quantitative data and thematic analysis of interview data. From findings, knowledge management explained a 50.4 percent variation in employee engagement. A coefficient of .728 indicated that a unit change in knowledge management leads to .728 units of positive change in employee engagement. Knowledge management significantly affects employee engagement thus the rejection of the null hypothesis. The hospitality business should invest in proper employee knowledge-sharing initiatives to enhance employee competence and motivation, resulting in high levels of engagement. The finding of this study can help major stakeholders in the hospitality industry to strengthen knowledge management for employee engagement.
This paper aims to investigate the mediating role of explicit knowledge sharing in the relationship between empowering leadership and proactive work behavior in defense industry enterprises. The sample of this study consists of defense industry enterprises operating within the borders of Turkey. A total of 305 survey data were collected from these enterprises using the random sampling method, and 5 survey data among them were eliminated because of missing information, and analyzes were made with a total of 301 survey data. Structural equation modeling was used to test the research model and hypotheses. According to the analysis results of the study, empowering leadership has a positive effect on proactive work behavior and explicit knowledge sharing. In addition, it has been understood that open information sharing has a positive effect on proactive work behavior. Finally, it has been revealed that explicit knowledge sharing has a mediating role in the relationship between empowering leadership and proactive work behavior.
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 |