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: 5 / 5 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 02:30 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2024 | 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 5 / 5 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): 2026-10-21T07:22:54.954434+00:00 — 2026-10-22T02:30:53.003697+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 3 | 5 | 5/5 |
| 2022 | All selected publications | 4 | 5 | 5/5 |
| 2023 | All selected publications | 9 | 5 | 5/5 |
| 2024 | All selected publications | 8 | 5 | 5/5 |
| 2025 | All selected publications | 2 | 5 | 5/5 |
| 2026 | All selected publications | 1 | 5 | 5/5 |
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 |
|---|---|
| 2019 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2023 | 1 |
| 2024 | 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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 6 | 7 | 1/1 | 6.0 | 6 | 100.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 3 | 5 | 1/1 | 3.0 | 3 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 6 | 7 | 1/1 | 6.0 | 6 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 3 | 9 | 2/2 | 1.5 | 1.5 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
E-commerce is gaining popularity due to its importance for both merchants and consumers, particularly in light of the COVID-19 pandemic, which restricts mass movement and gathering, as well as the high costs associated with traveling to different markets. Despite mounting evidence demonstrating the importance of internet in retails business, little is known about the potential mechanisms that increase consumer purchasing intentions when using online shopping platforms. In today's high customer sensitivity to service quality, successful entrepreneurs have recently thrived under competitive pressures. Online transactions are more difficult because buyers and sellers do not know each other, yet they must provide financial information to intermediaries. Thus, it is now clear that increasing customer trust is a viable strategy for driving e-business success today. Considering this, a new model demonstrating a potential mechanism that increases customers' trust in intermediaries and thus leads to their online purchasing intentions was developed. This innovative model connects website quality to the online purchasing intentions of the customers, using trust in intermediaries as a mediator and moderating the effect of perceived usefulness. To prove or disprove the assumptions highlighted in this study, a cross-sectional research design was used with data from 568 clients of nine domestic e-commerce platforms operating in Rwanda. To investigate the relationship between the variables hypothesized in this study, a variety of methods and tools were used. To assess the potential effect of each variable in this model, we used CFA in SEM-Amos, mean and standard deviation in SPSS, and Hayes macro process. The overall results obtained using the various techniques specified supported the current hypothesized model. We believe that the current study provided an innovative and useful mechanism as one of the potential solutions for today's merging online businesses.
Despite the mounting evidence that leadership can fuel the innovation behavior of employees, yet no study considered the psychological state of employees in such a relationship while Psychology is the primary root of human feelings and behavior. In this regard, this study uses the integrative approach of transformational leadership theory and positive psychology to uncover the pivotal role of positive psychological capital (PsyCap) and perceived effort-reward fairness in the relationship between transformational leadership (TFL) and employee’s innovation behavior. Data collected from 14 banking institutions operating in Rwanda (412 total respondents) were analyzed using structural equation modeling and findings support our hypothesized model
Despite the theoretical foundation that links Transformational leadership (TFL) with innovation behavior, previous studies have overlooked on Transformational leadership and innovation behavior at the individual level relationship but paid less attention to how transformational leadership qualities of top leaders would advance innovative work behavior within the organizational setting. To date, the impact of Transformational leadership at a top executive level on employee’s innovative work behavior (IWB) within an organizational setting has not been dealt with in-depth. However, using transformational leadership theory, this study uncovers the pivotal role of innovation culture (IC) and managerial innovation (MI) in the relationship between CEO transformational leadership and employee’s innovation behavior in SMEs. A cross-sectional design with a total of 434 employees from 24 SMEs operating from Rwanda was analyzed using structural equation modeling to evaluate the relationship between the variables developed in the study. The findings of this study support our hypothesized model.
To stay competitive and viable in today's rapidly evolving and highly hostile market climate, companies need to concentrate more on innovation. In this regard, the specific quality of transformational leadership has been strongly linked to organizational innovativeness. However, the purpose of this study is to examine the relationship between transformational leadership and the innovation behavior of employees. The literature review developed in the current study is fundamentally centered on how transformational leaders value innovation by facilitating organizational learning to foster innovative behavior among employees. Corporate social responsibilities as an organizational level factor that can drive employee attitudes were also examined as a moderating effect in this relationship. The rationale of the relationship of the variables is supported by both transformational leadership theory (TFL) and social exchange theory (SET). Data were collected from corporate social responsibility engaged SMEs operating in Rwanda. Using Cranach’s alpha reliability and validity were tested while structural equation modeling (SEM) was used in analyzing data. The findings of this study intend to fill some gaps in the current literature such as the introduction of CSR in the relationship between top managerial level leadership, organizational learning, and innovation behavior of employees, also introducing SET to explain such important relationship
This research explores the nexus of oral communication, masculinity, and gender-based violence (GBV) in Congolese households the City of Bukavu. It was conducted between October and December 2023. It used a qualitative approach with 30 in-depth interviews with Congolese married men the researchers chose randomly, and whose ages ranged between 35 and 67. The research applied thematic analysis to identify major themes. Results indicate that Congolese men in Bukavu appreciate when family members value their masculinity. Monopolizing the speech gives them the feeling they are listened to, which mirrors power and respect. Interrupting a man’s oral communication conveys disdain of his masculine power, which can push him to resort to GBV. This attitude originates from gender roles and beliefs that patriarchy has preset for men, obliging women to remain silent and submissive. Gender differences in spoken communication led to either competition or connection, and affiliation or action. The study applied the theories of family violence and masculinity. Family violence entails how communication styles can influence each partner’s behaviours. The man’s abusive communication in the household can manipulate his wife's feelings to prompt emotional abuse. Masculinity encompasses hegemonic masculinity that dominates all other masculinities. Masculinity sets a boundary of what it means to be a man by giving him power and control over women and other men. This elucidates how men have full speech while women are passive. Once gender dissimilarities and masculinity couple with voiced negative communication, they fuel male GBV in Congolese households. To overcome this issue, constructive masculinity can promote healthy communication by encouraging men to value women and communicate freely by respecting freedom of expression in large or reduced locales.
This research explores the nexus of oral communication, masculinity, and gender-based violence (GBV) in Congolese households the City of Bukavu. It was conducted between October and December 2023. It used a qualitative approach with 30 in-depth interviews with Congolese married men the researchers chose randomly, and whose ages ranged between 35 and 67. The research applied thematic analysis to identify major themes. Results indicate that Congolese men in Bukavu appreciate when family members value their masculinity. Monopolizing the speech gives them the feeling they are listened to, which mirrors power and respect. Interrupting a man’s oral communication conveys disdain of his masculine power, which can push him to resort to GBV. This attitude originates from gender roles and beliefs that patriarchy has preset for men, obliging women to remain silent and submissive. Gender differences in spoken communication led to either competition or connection, and affiliation or action. The study applied the theories of family violence and masculinity. Family violence entails how communication styles can influence each partner’s behaviours. The man’s abusive communication in the household can manipulate his wife's feelings to prompt emotional abuse. Masculinity encompasses hegemonic masculinity that dominates all other masculinities. Masculinity sets a boundary of what it means to be a man by giving him power and control over women and other men. This elucidates how men have full speech while women are passive. Once gender dissimilarities and masculinity couple with voiced negative communication, they fuel male GBV in Congolese households. To overcome this issue, constructive masculinity can promote healthy communication by encouraging men to value women and communicate freely by respecting freedom of expression in large or reduced locales.
E-commerce is gaining popularity due to its importance for both merchants and consumers, particularly in light of the COVID-19 pandemic, which restricts mass movement and gathering, as well as the high costs associated with traveling to different markets. Despite mounting evidence demonstrating the importance of internet in retails business, little is known about the potential mechanisms that increase consumer purchasing intentions when using online shopping platforms. In today's high customer sensitivity to service quality, successful entrepreneurs have recently thrived under competitive pressures. Online transactions are more difficult because buyers and sellers do not know each other, yet they must provide financial information to intermediaries. Thus, it is now clear that increasing customer trust is a viable strategy for driving e-business success today. Considering this, a new model demonstrating a potential mechanism that increases customers' trust in intermediaries and thus leads to their online purchasing intentions was developed. This innovative model connects website quality to the online purchasing intentions of the customers, using trust in intermediaries as a mediator and moderating the effect of perceived usefulness. To prove or disprove the assumptions highlighted in this study, a cross-sectional research design was used with data from 568 clients of nine domestic e-commerce platforms operating in Rwanda. To investigate the relationship between the variables hypothesized in this study, a variety of methods and tools were used. To assess the potential effect of each variable in this model, we used CFA in SEM-Amos, mean and standard deviation in SPSS, and Hayes macro process. The overall results obtained using the various techniques specified supported the current hypothesized model. We believe that the current study provided an innovative and useful mechanism as one of the potential solutions for today's merging online businesses.
To stay competitive and viable in today's rapidly evolving and highly hostile market climate, companies need to concentrate more on innovation. In this regard, the specific quality of transformational leadership has been strongly linked to organizational innovativeness. However, the purpose of this study is to examine the relationship between transformational leadership and the innovation behavior of employees. The literature review developed in the current study is fundamentally centered on how transformational leaders value innovation by facilitating organizational learning to foster innovative behavior among employees. Corporate social responsibilities as an organizational level factor that can drive employee attitudes were also examined as a moderating effect in this relationship. The rationale of the relationship of the variables is supported by both transformational leadership theory (TFL) and social exchange theory (SET). Data were collected from corporate social responsibility engaged SMEs operating in Rwanda. Using Cranach’s alpha reliability and validity were tested while structural equation modeling (SEM) was used in analyzing data. The findings of this study intend to fill some gaps in the current literature such as the introduction of CSR in the relationship between top managerial level leadership, organizational learning, and innovation behavior of employees, also introducing SET to explain such important relationship
Despite the mounting evidence that leadership can fuel the innovation behavior of employees, yet no study considered the psychological state of employees in such a relationship while Psychology is the primary root of human feelings and behavior. In this regard, this study uses the integrative approach of transformational leadership theory and positive psychology to uncover the pivotal role of positive psychological capital (PsyCap) and perceived effort-reward fairness in the relationship between transformational leadership (TFL) and employee’s innovation behavior. Data collected from 14 banking institutions operating in Rwanda (412 total respondents) were analyzed using structural equation modeling and findings support our hypothesized model
Despite the theoretical foundation that links Transformational leadership (TFL) with innovation behavior, previous studies have overlooked on Transformational leadership and innovation behavior at the individual level relationship but paid less attention to how transformational leadership qualities of top leaders would advance innovative work behavior within the organizational setting. To date, the impact of Transformational leadership at a top executive level on employee’s innovative work behavior (IWB) within an organizational setting has not been dealt with in-depth. However, using transformational leadership theory, this study uncovers the pivotal role of innovation culture (IC) and managerial innovation (MI) in the relationship between CEO transformational leadership and employee’s innovation behavior in SMEs. A cross-sectional design with a total of 434 employees from 24 SMEs operating from Rwanda was analyzed using structural equation modeling to evaluate the relationship between the variables developed in the study. The findings of this study support our hypothesized model.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |