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: 4 / 4 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 01:31 UTC — 25 Oct 2026 11:40 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 25 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 48 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-22T01:31:23.295662+00:00 — 2026-10-25T11:40:16.132908+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 5 | 4 | 4/4 |
| 2022 | All selected publications | 12 | 4 | 4/4 |
| 2023 | All selected publications | 8 | 4 | 4/4 |
| 2024 | All selected publications | 12 | 4 | 4/4 |
| 2025 | All selected publications | 5 | 4 | 4/4 |
| 2026 | All selected publications | 6 | 4 | 4/4 |
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 ↗
Records with full publication dates only. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2021-02 | 1 |
| 2021-03 | 1 |
| 2021-05 | 1 |
| 2021-06 | 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 | 4 | 25 | 48 | 4/4 | 6.25 | 6.5 | 100.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Pakistan is experiencing an enormous increase in the acceptance of western apparel shopping among people. To bind this opportunity, it is necessary to understand ensure the repurchase intention among customers. Hence this research article explored the impact of Service and Product related attributes on Re-purchase Intention: Role of customer characteristics and customer satisfaction in an apparel shopping context. The importance of product attributes and service attributes to the result of repurchase intention has been well documented. In the past, scarce studies will be done to check this relationship. The theoretical repurchase model was developed and tested using SEM on experiential data of 350 apparel brand customers. In Pakistan's scenario, the study's significance is that the clothing industry is becoming more frequent and increasingly focused on developing brands. Simultaneously, the Pakistan textile and clothing brands industry became more and more developed and strongly influenced the international market worldwide. The current research finding will enable marketers to realize the value of product and service attributes and depict the different factors of customer characteristics and customer satisfaction impact on repurchase intention for ensuring continuity among old customers. Furthermore, the current research will make a valuable addition to increasing repurchase intention literature for marketers.
The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.
In this study, we review the literature to find how the financial development of a country attracts foreign direct investments for a sustainable real sector development of the country. The area is least focused on literature. Thus we don’t limit our search and review to any time or database or journal category. We find the theoretical logic and empirical evidence so far available in the literature. Our review finds that the development of the financial sector of a country is one of the most important attractors of FDIs. Theoretically, financial sector development works as a symbol of trust and goodness to the new potential investors and a good resource allocation channel for the existing investors. However, very few researchers find that FDIs are more prone to countries with a low developed financial system which may happen due to the presence of risk-taker foreign investors and risk-averse domestic entrepreneurs.
This study examined the relationship between the level of logistics service quality, relationship quality, and repurchase intention in the e-retail sector of Pakistan. Logistics service quality LSQ was integrated into the step-by-step purchasing process including pre-purchase, purchase, and post-purchase factors. This research is unique from existing research work as it validated a holistic model by examining the role of customer’s perception of LSQ in strengthening their RQ and subsequent purchase intentions in the e-retail logistics sector of Pakistan and draw important suggestions to enhance the competitiveness of logistics services of domestic e-retail logistic firms. A survey strategy using self-administered questionnaires was employed from customers of departmental stores, large discount stores, shopping malls & retail outlets. A total of n=241 based on a cluster of conventional retail consumers across Pakistan was drawn. The study results provide a quality framework for the management of logistics service providers working in Pakistan's e-retail industry to evaluate the strengths and limitations of their service provision and then identify areas where improvements might be needed.
In this study, we review the literature to find how the financial development of a country attracts foreign direct investments for a sustainable real sector development of the country. The area is least focused on literature. Thus we don’t limit our search and review to any time or database or journal category. We find the theoretical logic and empirical evidence so far available in the literature. Our review finds that the development of the financial sector of a country is one of the most important attractors of FDIs. Theoretically, financial sector development works as a symbol of trust and goodness to the new potential investors and a good resource allocation channel for the existing investors. However, very few researchers find that FDIs are more prone to countries with a low developed financial system which may happen due to the presence of risk-taker foreign investors and risk-averse domestic entrepreneurs.
Pakistan is experiencing an enormous increase in the acceptance of western apparel shopping among people. To bind this opportunity, it is necessary to understand ensure the repurchase intention among customers. Hence this research article explored the impact of Service and Product related attributes on Re-purchase Intention: Role of customer characteristics and customer satisfaction in an apparel shopping context. The importance of product attributes and service attributes to the result of repurchase intention has been well documented. In the past, scarce studies will be done to check this relationship. The theoretical repurchase model was developed and tested using SEM on experiential data of 350 apparel brand customers. In Pakistan's scenario, the study's significance is that the clothing industry is becoming more frequent and increasingly focused on developing brands. Simultaneously, the Pakistan textile and clothing brands industry became more and more developed and strongly influenced the international market worldwide. The current research finding will enable marketers to realize the value of product and service attributes and depict the different factors of customer characteristics and customer satisfaction impact on repurchase intention for ensuring continuity among old customers. Furthermore, the current research will make a valuable addition to increasing repurchase intention literature for marketers.
The Covid-19 pandemic restricted the people around the world's boundaries. Therefore, online learning's importance increased in the current era, an essential topic for current research. Students are actively using Massive Open Online Courses (MOOCs) while restricted at their homes during the Covid-19 pandemic. This research investigates the Unified Theory of Acceptance and Use of Technology model (UTAUT) and quality factors to predict the users perceived satisfaction and reuse intentions toward MOOCs in the Covid-19 pandemic. We collected data from three public universities in Wuhan, China and 298 users who were actively using MOOCs participated in this research. The proposed hypotheses were tested by using PLS-SEM. The findings revealed that effort expectancy and social influence directly impacted users' reuse intentions while performance expectancy and perceived course quality positively impacted users' reuse intentions through perceived satisfaction toward MOOCs. This research found the critical role of perceived satisfaction in the current pandemic era. Finally, this research provides important theoretical implications for the researchers and practical implications for the developers, technologists, and policymakers for developing effective systems and strategies in online environments. In addition, this study revealed some limitations and future research guidelines for the researchers.
This study examined the relationship between the level of logistics service quality, relationship quality, and repurchase intention in the e-retail sector of Pakistan. Logistics service quality LSQ was integrated into the step-by-step purchasing process including pre-purchase, purchase, and post-purchase factors. This research is unique from existing research work as it validated a holistic model by examining the role of customer’s perception of LSQ in strengthening their RQ and subsequent purchase intentions in the e-retail logistics sector of Pakistan and draw important suggestions to enhance the competitiveness of logistics services of domestic e-retail logistic firms. A survey strategy using self-administered questionnaires was employed from customers of departmental stores, large discount stores, shopping malls & retail outlets. A total of n=241 based on a cluster of conventional retail consumers across Pakistan was drawn. The study results provide a quality framework for the management of logistics service providers working in Pakistan's e-retail industry to evaluate the strengths and limitations of their service provision and then identify areas where improvements might be needed.
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 |