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: 21 Oct 2026 07:22 UTC — 21 Oct 2026 07:22 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 7 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 8 | 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): 2026-10-21T07:22:54.940130+00:00 — 2026-10-21T07:22:57.161336+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 | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 3 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 4 | 4/4 |
| 2026 | All selected publications | 3 | 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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2024 | 4 |
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 | 7 | 8 | 4/4 | 1.75 | 2.0 | 75.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This study investigates the intricate relationship between omni-channel retailing, high-end sustainable footwear, and customer satisfaction within an emerging market context. With a focus on Generation Z consumers, the research delves into the correlation between customisation, pricing, customer service, personalisation, and supply chain transparency as precursors of customer satisfaction in the high-end sustainable footwear fashion sector. The study is grounded in the recognition of the growing importance of sustainability in the fashion industry, whereby eco-conscious consumption is on the rise. The research addresses the gap in fragmented studies on omni-channel retail strategies in the high-end sustainable market. Utilising a positivist quantitative research approach, the researcher employs a convenience sampling technique by collecting data from a total sample of 268 Generation Z consumers who have purchased high-end sustainable footwear from South African omni-channel retailers. A structured online survey questionnaire, featuring five Likert-scale questions is used for data collection. The researcher proposes hypotheses that are tested primarily by utilising the latest SPSS version. The results of the study demonstrate that customisation, price, customer service, personalisation and supply chain transparency all positively influence customer satisfaction with regard to high-end sustainable footwear. The significance of the study lies in its potential to contribute valuable insights for high-end sustainable footwear omni-channel retailers in an emerging market, enabling them to enhance customer satisfaction levels and align with the growing demand for environmentally friendly and ethically sourced sustainable fashion. Additionally, the research aims to fill existing knowledge gaps in the South African market and contribute to the global discourse on sustainable fashion and consumer behaviour.
Impulse purchases play a vital role in the sales revenue of shopping malls. This study utilized the Stimulus-Organism-Response framework to explore how shopping mall atmosphere stimulates consumer emotions, thereby impacting impulse purchase behavior. Structural equation modeling was employed for data analysis. The findings revealed that both positive and negative emotions can act as mediators in the process of forming impulse purchase behavior, albeit with distinct and sometimes antagonistic effects. This phenomenon is attributed to the differential impact of the service atmosphere on stimulating consumer emotions. Additionally, the study identified that only positive emotions can serve as mediators between spatial atmosphere and impulse purchases. In essence, stimuli in the shopping environment can influence consumer emotional responses, thereby prompting impulse purchase behavior.
This study systematically reviews literature to explore the Moderated Mediation Model of Customer Intention in Omnichannel Technology, particularly under the transformative influence of technologies like AI, AR, and big data analytics. Amidst evolving consumer expectations and the drastic shifts induced by the COVID-19 pandemic, the retail industry's shift from multichannel to omnichannel strategies has become crucial. This review analyzes 59 studies published between 2018 and April 2023 to discern the dynamics influencing customer intention within the omnichannel framework. Our research highlights the sparse but critical discourse on the mediating roles of perceived value and trust and the moderating effects of factors like age and product involvement. Although extensive, the literature reveals gaps, particularly in unified frameworks integrating these diverse insights. We propose a novel conceptual framework centered on these mediators and moderators to better understand and harness customer intentions toward omnichannel technology adoption. Key findings indicate that seamless integration across online and offline channels, responsive to the nuanced needs and behaviors of consumers, significantly enhances customer engagement and loyalty. This synthesis not only offers a consolidated view of the omnichannel retail landscape but also provides strategic pathways for retailers aiming to optimize customer interactions and satisfaction in a digitally dominated era. Our review contributes to the omnichannel retail literature by offering a structured overview of the factors driving customer intentions and suggesting directions for future research to bridge identified gaps, particularly through longitudinal studies and expanded demographic analyses.
Research on students as consumers has garnered significant attention from researchers. This interest stems from the growing budgets allocated to students by both government and private families. Consequently, students engage in purchasing products and services from retailers both large and small (SMEs). To attract, satisfy and retain student customers, retailers must explore effective strategies. Hedonic values play a crucial role in retail marketing, especially when targeting students. This study aimed to assess the impact of perceived hedonic values on students’ satisfaction and repurchase intentions. Additionally, it investigated whether student satisfaction mediates the relationship between hedonic values an repurchase intentions. The survey was conducted among TVET college students in Lephalale, South Africa (SA). The findings could not exclusively confirm the effect of perceived hedonic values on students’ satisfaction and repurchase intentions. Similarly, the findings could not confirm the mediation effect of students’ satisfaction on the link between perceived hedonic values and repurchase intentions. The results are useful to SME retailers targeting student clientele.
Research on students as consumers has garnered significant attention from researchers. This interest stems from the growing budgets allocated to students by both government and private families. Consequently, students engage in purchasing products and services from retailers both large and small (SMEs). To attract, satisfy and retain student customers, retailers must explore effective strategies. Hedonic values play a crucial role in retail marketing, especially when targeting students. This study aimed to assess the impact of perceived hedonic values on students’ satisfaction and repurchase intentions. Additionally, it investigated whether student satisfaction mediates the relationship between hedonic values an repurchase intentions. The survey was conducted among TVET college students in Lephalale, South Africa (SA). The findings could not exclusively confirm the effect of perceived hedonic values on students’ satisfaction and repurchase intentions. Similarly, the findings could not confirm the mediation effect of students’ satisfaction on the link between perceived hedonic values and repurchase intentions. The results are useful to SME retailers targeting student clientele.
Impulse purchases play a vital role in the sales revenue of shopping malls. This study utilized the Stimulus-Organism-Response framework to explore how shopping mall atmosphere stimulates consumer emotions, thereby impacting impulse purchase behavior. Structural equation modeling was employed for data analysis. The findings revealed that both positive and negative emotions can act as mediators in the process of forming impulse purchase behavior, albeit with distinct and sometimes antagonistic effects. This phenomenon is attributed to the differential impact of the service atmosphere on stimulating consumer emotions. Additionally, the study identified that only positive emotions can serve as mediators between spatial atmosphere and impulse purchases. In essence, stimuli in the shopping environment can influence consumer emotional responses, thereby prompting impulse purchase behavior.
This study systematically reviews literature to explore the Moderated Mediation Model of Customer Intention in Omnichannel Technology, particularly under the transformative influence of technologies like AI, AR, and big data analytics. Amidst evolving consumer expectations and the drastic shifts induced by the COVID-19 pandemic, the retail industry's shift from multichannel to omnichannel strategies has become crucial. This review analyzes 59 studies published between 2018 and April 2023 to discern the dynamics influencing customer intention within the omnichannel framework. Our research highlights the sparse but critical discourse on the mediating roles of perceived value and trust and the moderating effects of factors like age and product involvement. Although extensive, the literature reveals gaps, particularly in unified frameworks integrating these diverse insights. We propose a novel conceptual framework centered on these mediators and moderators to better understand and harness customer intentions toward omnichannel technology adoption. Key findings indicate that seamless integration across online and offline channels, responsive to the nuanced needs and behaviors of consumers, significantly enhances customer engagement and loyalty. This synthesis not only offers a consolidated view of the omnichannel retail landscape but also provides strategic pathways for retailers aiming to optimize customer interactions and satisfaction in a digitally dominated era. Our review contributes to the omnichannel retail literature by offering a structured overview of the factors driving customer intentions and suggesting directions for future research to bridge identified gaps, particularly through longitudinal studies and expanded demographic analyses.
This study investigates the intricate relationship between omni-channel retailing, high-end sustainable footwear, and customer satisfaction within an emerging market context. With a focus on Generation Z consumers, the research delves into the correlation between customisation, pricing, customer service, personalisation, and supply chain transparency as precursors of customer satisfaction in the high-end sustainable footwear fashion sector. The study is grounded in the recognition of the growing importance of sustainability in the fashion industry, whereby eco-conscious consumption is on the rise. The research addresses the gap in fragmented studies on omni-channel retail strategies in the high-end sustainable market. Utilising a positivist quantitative research approach, the researcher employs a convenience sampling technique by collecting data from a total sample of 268 Generation Z consumers who have purchased high-end sustainable footwear from South African omni-channel retailers. A structured online survey questionnaire, featuring five Likert-scale questions is used for data collection. The researcher proposes hypotheses that are tested primarily by utilising the latest SPSS version. The results of the study demonstrate that customisation, price, customer service, personalisation and supply chain transparency all positively influence customer satisfaction with regard to high-end sustainable footwear. The significance of the study lies in its potential to contribute valuable insights for high-end sustainable footwear omni-channel retailers in an emerging market, enabling them to enhance customer satisfaction levels and align with the growing demand for environmentally friendly and ethically sourced sustainable fashion. Additionally, the research aims to fill existing knowledge gaps in the South African market and contribute to the global discourse on sustainable fashion and consumer behaviour.
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 |