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: 22 Oct 2026 01:09 UTC — 22 Oct 2026 01:29 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 | 8 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 13 | 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): 2026-10-22T01:09:04.281599+00:00 — 2026-10-22T01:29:14.964951+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 | 0 | 3 | 3/3 |
| 2023 | All selected publications | 5 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 4 | 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 | 8 | 13 | 3/3 | 2.67 | 2 | 100.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
From the mid-1980s, Morocco confirmed its choice to liberalize trade so that international trade could become a lever for development. However, despite these ambitions, the persistence of the trade deficit has led us to reflect on the challenges of exports and the factors that can trigger the emergence of new competition. At this level, logistics has become one of the key factors to circumvent the obstacles that affect the supply of Moroccan exports. This paper aims to study and assess the impact of the determinants of logistics performance on export performance in the Moroccan context. It follows that the general concepts will be defined, and a review of the literature on the importance of the determinants of logistics performance in exporting companies will be presented, as well as the theoretical and practical research work that has studied the impact of determinants of logistics performance on export performance. The data were collected from the logistics directors and managers of 90 Moroccan exporting companies and later were analyzed by using the structural equation modelling technique to test the hypotheses and validate the research model. The results of our empirical study showed that the three determinants of logistics performance (collaboration, information sharing and logistics strategy) positively affect the export performance of Moroccan firms, also, we have distinguished that the three determinants play a very important role in improving the company's activities and strengthening the relationship between suppliers and customers, and finally, we found that all hypotheses of our study are validated. Our study has shown that there are certain determinants of logistics performance (collaboration, information sharing and logistics strategy) that contribute to the improvement of export performance in companies. In addition, we will verify our conceptual model in other countries which would allow us to identify universal trends and we have distinguished that there are other determinants and other important variables that will be integrated in our future research model.
This study aims to investigate the implementation of supply chain agility in mediating the relationship between absorptive capacity and competitive advantage. The object of this study was some cafes and modern restaurants that have over 500 Instagram followers, while the subjects of this study were individuals that manage the cafes and restaurants. The data of three variables of this study were collected using a valid and reliable questionnaire. The data were analyzed using Structural Equation Modeling (SEM) which is a statistical analysis technique that incorporates factor analysis and simultaneous equations. The analysis was performed using AMOS 22.0. The results indicated that absorptive capacity has a positive and significant effect on supply chain agility, while supply chain agility has a positive and significant effect on competitive advantage, absorptive capacity has a positive and significant effect on competitive advantage, and supply chain agility has a positive and significant effect in mediating the relationship between absorptive capacity and competitive advantage.
The objective of this study was to determine and analyze the impact of TQM, Transformational Leadership (TL), and Executive Ability (EA) on improving sustainable competitive advantage (SCA) in MSMEs in Banten Province based on local leading potential. The method of distributing questionnaires is used in this study to collect primary data. This study's population consisted of all owners and managers of MSMEs in Banten Province. In contrast, the sample in this study is formed of the owners and managers of MSMEs of Local Leading Potential in Banten Province. Purposive sampling was being used in the study, as well as Warp PLS V. 7.0 and SPSS Version 25 test equipment. The findings of this study were as follows: (1) TQM had a significant positive effect on TL and SCA, but not on EA. (2) TL has a statistically significant positive effect on SCA and EA. (3) EA has a statistically significant positive effect on SCA. (4) TL mediates the effect of TQM on SCA and TQM on EA, and (5) EA does not mediate the effect of TQM on SCA. VAF (Variance Accounted For) has been used to calculate mediation effects.
This study aims to investigate the implementation of supply chain agility in mediating the relationship between absorptive capacity and competitive advantage. The object of this study was some cafes and modern restaurants that have over 500 Instagram followers, while the subjects of this study were individuals that manage the cafes and restaurants. The data of three variables of this study were collected using a valid and reliable questionnaire. The data were analyzed using Structural Equation Modeling (SEM) which is a statistical analysis technique that incorporates factor analysis and simultaneous equations. The analysis was performed using AMOS 22.0. The results indicated that absorptive capacity has a positive and significant effect on supply chain agility, while supply chain agility has a positive and significant effect on competitive advantage, absorptive capacity has a positive and significant effect on competitive advantage, and supply chain agility has a positive and significant effect in mediating the relationship between absorptive capacity and competitive advantage.
From the mid-1980s, Morocco confirmed its choice to liberalize trade so that international trade could become a lever for development. However, despite these ambitions, the persistence of the trade deficit has led us to reflect on the challenges of exports and the factors that can trigger the emergence of new competition. At this level, logistics has become one of the key factors to circumvent the obstacles that affect the supply of Moroccan exports. This paper aims to study and assess the impact of the determinants of logistics performance on export performance in the Moroccan context. It follows that the general concepts will be defined, and a review of the literature on the importance of the determinants of logistics performance in exporting companies will be presented, as well as the theoretical and practical research work that has studied the impact of determinants of logistics performance on export performance. The data were collected from the logistics directors and managers of 90 Moroccan exporting companies and later were analyzed by using the structural equation modelling technique to test the hypotheses and validate the research model. The results of our empirical study showed that the three determinants of logistics performance (collaboration, information sharing and logistics strategy) positively affect the export performance of Moroccan firms, also, we have distinguished that the three determinants play a very important role in improving the company's activities and strengthening the relationship between suppliers and customers, and finally, we found that all hypotheses of our study are validated. Our study has shown that there are certain determinants of logistics performance (collaboration, information sharing and logistics strategy) that contribute to the improvement of export performance in companies. In addition, we will verify our conceptual model in other countries which would allow us to identify universal trends and we have distinguished that there are other determinants and other important variables that will be integrated in our future research model.
The objective of this study was to determine and analyze the impact of TQM, Transformational Leadership (TL), and Executive Ability (EA) on improving sustainable competitive advantage (SCA) in MSMEs in Banten Province based on local leading potential. The method of distributing questionnaires is used in this study to collect primary data. This study's population consisted of all owners and managers of MSMEs in Banten Province. In contrast, the sample in this study is formed of the owners and managers of MSMEs of Local Leading Potential in Banten Province. Purposive sampling was being used in the study, as well as Warp PLS V. 7.0 and SPSS Version 25 test equipment. The findings of this study were as follows: (1) TQM had a significant positive effect on TL and SCA, but not on EA. (2) TL has a statistically significant positive effect on SCA and EA. (3) EA has a statistically significant positive effect on SCA. (4) TL mediates the effect of TQM on SCA and TQM on EA, and (5) EA does not mediate the effect of TQM on SCA. VAF (Variance Accounted For) has been used to calculate mediation effects.
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 |