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: 18 / 18 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 — 23 Oct 2026 01:12 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.
16 / 18 with data · 2 missing or unmatched. Percentages use all 18 selected publications.
16 / 18 with data · 2 missing or unmatched. Percentages use all 18 selected publications.
18 / 18 with data · 0 missing or unmatched. Percentages use all 18 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 12 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 1 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 37 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 5 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 8 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 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 18 / 18 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): 2026-10-21T07:22:50.550281+00:00 — 2026-10-23T01:12:19.824482+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 | 5 | 18 | 18/18 |
| 2018 | All selected publications | 3 | 18 | 18/18 |
| 2019 | All selected publications | 6 | 18 | 18/18 |
| 2020 | All selected publications | 3 | 18 | 18/18 |
| 2021 | All selected publications | 10 | 18 | 18/18 |
| 2022 | All selected publications | 5 | 18 | 18/18 |
| 2023 | All selected publications | 13 | 18 | 18/18 |
| 2024 | All selected publications | 16 | 18 | 18/18 |
| 2025 | All selected publications | 3 | 18 | 18/18 |
| 2026 | All selected publications | 2 | 18 | 18/18 |
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 |
|---|---|
| 2014 | 1 |
| 2015 | 1 |
| 2019 | 3 |
| 2020 | 4 |
| 2021 | 1 |
| 2022 | 3 |
| 2023 | 3 |
| 2024 | 1 |
| 2026 | 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 | 18 | 31 | 67 | 18/18 | 1.72 | 1.0 | 55.6 | 18/18 · 100.0% |
* Percentage among publications with a known citation count.
Organizational culture is defined as set of goals and values shared by employees in the organization. Recently it has also come to be perceived as a resource of knowledge in the organization. In the literature, along with the studies aiming at identifying the elements of organizational culture, there are some research that study the relationship between organizational culture and performance. This article is a theoretical study of the two concepts and suggests a research model for further research. Recently, knowledge management and innovation strategy have started to be regarded as features of organizational culture. Research shows that these two variables also have significant impacts on organizational performance. Our model suggests measuring the effect of organizational culture on performance along with the supportive impacts of knowledge management and innovation strategy.
This study aimed at evaluating the effect of organizational culture on strategy implementation in Private chartered universities in Kenya. The objective of this study was to ascertain the effect of hierarchy culture on the strategy implementation in Private chartered universities in Kenya. A cross-sectional survey research design was adopted and it used both quantitative and qualitative data as it seeks the effect of organizational culture on the implementation of corporate strategy. The accessible population included University and students’ leaders. This study used both stratified random sampling and the target sample size was 194 employees. The statistical package for social sciences (SPSS) version 21 was used to describe the relationships between dependent and independent variables. The study used correlation and regression techniques as well as the analysis of variance (ANOVA) to test the study hypotheses. A multiple linear regression model was also used to derive inferential statistical indicators like the correlation, coefficient of determination, F-statistics, t-test statistic, and the p-value. In this research Pearson’s correlation analysis was used to test for the existence of multicollinearity. Normality testing was done to compare the cumulative distribution of the data. Factor analysis was also carried out on all items in each variable in order to reduce the measurable and observable variables. The key finding based on the tests conducted in the study was that the variable: Hierarchy culture had an effect on the dependent variable: Strategy implementation. The p-value published showed that there was a positive effect of hierarchy culture on strategy implementation in Private chartered universities in Kenya
The prime purpose of the research was to examine, through empirical study, and help determine the government’s role as moderator in the relationship between Porter’s diamond firm strategy, structure, and rivalry construct and the firm’s performance in Pakistan’s automotive sector. In the study, the research philosophy was positivism, and a deductive approach was applied as the main reason to establish generalizations in the results. With a view to determining the magnitude, direction, and significance, researchers emphasized descriptive and inferential statistical techniques. Data was solicited from 166 sample respondents through a structured questionnaire. To establish the reliability perspective and validity context of the questionnaire constructs, a pilot study was part of the research study. Parametric and nonparametric statistical techniques also became an integral part of analysis for drawing objectively based conclusions. For moderation purposes, the tool was macro, Process v3.0 (model 1). The study findings aptly indicate that in a theoretical context, the relationship is not significant, whereas the practical perspective reflects that government policy does influence industry firms’ performance; however, the mediating role of government between Porter’s constructs, viz., firm strategy, structure, and rivalry, and industry firms’ performance documented no impact. In the constituencies of academia, automotive sector players, and policymakers, the moderation results shed light on theoretical and practical contextualization.
The study sought to explore the impact of generic strategies on competitive advantage in the medical training colleges in Kenya. The research was guided by the Dynamic capabilities theory, Resource-Based View theory and Knowledge-based view theories. The target population was 183 members of staff in the 4 medical training colleges in Nyeri County, Kenya. Data on 42 participants from the population was gathered from the top-level management, middle-level management and low-level management in these colleges using questionnaires. The research adopted a descriptive research design. Quantitative data analysis was conducted by use of descriptive statistics. Additionally, inferential statistical analysis on the observations was carried out. Qualitative data were analyzed by use of content analysis. Tables, bar graphs, and pie charts were employed for data presentation. The analyzed data revealed that cost leadership, differentiation and focus strategies positively contributed to the colleges’ competitive advantage with cost advantage having the greatest effect. The study recommends that colleges and other institutions employ the application of porter’s generic strategies since they have proved to be effective in contributing to competitive advantage.
This paper provides a detailed exploration of the Afrocentric epistemological perspective of socio-cultural constructs that drive the influence of informal structures on corporate strategy and employees. The research focuses on the African context, which has a dearth of studies despite ample research exploring informal structures in Western and Asian socio-ecological contexts. To achieve this, the study employed a systematic literature review through the aid of NVivo 14 and ChatGPT, a language generation model. NVivo 14 provided the study with a tool to manage and analyze the data, and ChatGPT offered a dialogical string that created a clear path for critical analysis. The paper adopted a systematic literature review approach to investigate the origin of the concept of informal structures and their impact on corporate strategy in an Afrocentric context. The findings indicate that informal structures can have a positive influence by facilitating the flow of information, flexibility, and fulfilling social needs and shared values. However, the negative influence of informal structures, including resistance to corporate strategy, social fragmentation, conflict, and political discord, outweighs the positive influence. The study also reveals that there is limited research on the social-ecological context of Africa and its impact on corporate strategy. The paper addresses a contextual gap in the body of knowledge through its contribution that focuses specifically on the Afrocentric context. The research also sheds light on the need for more studies on the social-ecological context of Africa to gain a better understanding of its impact on corporate strategy. Overall, the paper provides a comprehensive and detailed exploration of the Afrocentric perspective of informal structures and their impact on corporate strategy and employees.
This study investigates whether Strategic Communication Competence (SCC) predicts Organizational Performance (OP) among employees of Mbeya City Council (MCC), a Tanzanian local government authority, and whether Financial Resource Management (FRM) independently predicts OP and moderates the SCC–OP relationship. Grounded in Communication Accommodation Theory and the Resource-Based View, a structured questionnaire was administered to 501 MCC employees, of whom 471 provided valid and fully completed responses, yielding a 94.0% response rate. The data were analyzed using Partial Least Squares Structural Equation Modelling. The findings indicate that SCC emerged as the strongest predictor of OP, while FRM also significantly and independently predicted OP (β = 0.243, p < .001). However, FRM did not significantly moderate the SCC–OP relationship, suggesting that, within Mbeya City Council, the two capabilities function as parallel and independently associated predictors of organizational performance rather than as interacting capabilities. Collectively, SCC and FRM explained 58.3% of the variance in OP, while the measurement model demonstrated sound reliability and validity. Given the cross-sectional and single-site design, these findings should be interpreted as evidence of significant associations and predictive relationships rather than causal effects. Based on these findings, recommendations are offered primarily for MCC and, more cautiously, for similarly structured Tanzanian local government authorities pending multi-site replication. In particular, MCC should prioritize strategic communication capability-building through feedback systems, information-sharing routines, and communication training, given SCC’s comparatively greater contribution to the explained variance in organizational performance. At the same time, financial resource governance should be maintained as an independently justified budgetary priority rather than being contingent upon communication outcomes.
This paper provides a detailed exploration of the Afrocentric epistemological perspective of socio-cultural constructs that drive the influence of informal structures on corporate strategy and employees. The research focuses on the African context, which has a dearth of studies despite ample research exploring informal structures in Western and Asian socio-ecological contexts. To achieve this, the study employed a systematic literature review through the aid of NVivo 14 and ChatGPT, a language generation model. NVivo 14 provided the study with a tool to manage and analyze the data, and ChatGPT offered a dialogical string that created a clear path for critical analysis. The paper adopted a systematic literature review approach to investigate the origin of the concept of informal structures and their impact on corporate strategy in an Afrocentric context. The findings indicate that informal structures can have a positive influence by facilitating the flow of information, flexibility, and fulfilling social needs and shared values. However, the negative influence of informal structures, including resistance to corporate strategy, social fragmentation, conflict, and political discord, outweighs the positive influence. The study also reveals that there is limited research on the social-ecological context of Africa and its impact on corporate strategy. The paper addresses a contextual gap in the body of knowledge through its contribution that focuses specifically on the Afrocentric context. The research also sheds light on the need for more studies on the social-ecological context of Africa to gain a better understanding of its impact on corporate strategy. Overall, the paper provides a comprehensive and detailed exploration of the Afrocentric perspective of informal structures and their impact on corporate strategy and employees.
The study investigated the role played by the dimensions of organizational culture in a strategic management process to help organizations in the hotel industry realize business recovery in a post-COVID-19 period. The conceptualization of the study relied on the strategic thinking lens preceding strategic management processes to situate the role of organizational culture in the strategic management processes undertaken at the strategy formulation phase. The element of organization's mission was argued to be the relevant practice for anchoring culture into the strategy formulation process. Four types of organizational culture were studied in business recovery. Three objectives guided the study focusing on the extent of the adoption of culture types, levels of business recovery attained and the effect of the level of adoption on the level of business recovery attained. A sample of 57 hotels was selected and 189 respondents were drawn from functional units in each of the hotels. The study reports that the level of adoption of the culture is at a high level while the extent of business recovery is at a moderate level of between 20-40% growth. Innovation culture does not have a significant statistical effect while market, customer orientation and adhocracy cultures have a significant statistical effect on the level of business recovery. The study concludes that the relevant cultures were responsible for aligning culture with the strategy formulation phase through the component of the mission of an organization and that the process needs to embrace combined attributes of the underpinning theories of RBV and the organizational culture theory. The study calls on future research to integrate more aspects of strategic thinking and consider using more objective sources of research data.
The overriding purpose of the study was to ascertain through empirical research whether Porter’s diamond firm strategy, structure and rivalry construct influence the key automotive industry of Pakistan. The Researchers applied positivism research philosophy to help generalize the research study outcomes. Descriptive analytics was deployed to help determine the significance, direction and magnitude of the study. Primary data was obtained from senior managers working in the industry by applying a structured questionnaire for subsequent analysis. While soliciting data, an 85.6% response rate was documented. Statistical techniques were applied which included parametric and nonparametric to arrive at objectively based results to draw safe conclusions. The research findings have created significant value for practitioners in the auto industry as well as the decision-makers at the helm of policy formulation. Pragmatic inferences to be drawn from the research findings include improving the performance of the automotive sector by internalizing Porter’s diamond construct firm strategy, structure, and rivalry. Results in other industries may be tested with future research to help establish generalizability in the area.
The prime purpose of the research was to examine, through empirical study, and help determine the government’s role as moderator in the relationship between Porter’s diamond firm strategy, structure, and rivalry construct and the firm’s performance in Pakistan’s automotive sector. In the study, the research philosophy was positivism, and a deductive approach was applied as the main reason to establish generalizations in the results. With a view to determining the magnitude, direction, and significance, researchers emphasized descriptive and inferential statistical techniques. Data was solicited from 166 sample respondents through a structured questionnaire. To establish the reliability perspective and validity context of the questionnaire constructs, a pilot study was part of the research study. Parametric and nonparametric statistical techniques also became an integral part of analysis for drawing objectively based conclusions. For moderation purposes, the tool was macro, Process v3.0 (model 1). The study findings aptly indicate that in a theoretical context, the relationship is not significant, whereas the practical perspective reflects that government policy does influence industry firms’ performance; however, the mediating role of government between Porter’s constructs, viz., firm strategy, structure, and rivalry, and industry firms’ performance documented no impact. In the constituencies of academia, automotive sector players, and policymakers, the moderation results shed light on theoretical and practical contextualization.
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 |