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 — 23 Oct 2026 01:20 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 | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 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): 2026-10-21T07:22:57.180766+00:00 — 2026-10-23T01:20:12.444091+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 | 0 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 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 | 2 |
| 2025 | 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 Business Ecosystem & Strategy Bussecon International Academy | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 2 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
In the ever-changing realm of retail banking, it is essential for banks to grasp the elements that affect customer decisions to stay ahead in the competition. This study delves into customer preferences when selecting a bank, focusing specifically on Absa Bank in South Africa. By utilizing a case study approach, the research delves into the factors that influence customer behavior in the retail banking industry. Referencing the consumer decision model, the study investigates various stages such as problem recognition, information search, evaluation of options, purchase decision, and post-purchase assessment. Factors such as security, convenience, assurance, accessibility, and responsiveness are pinpointed as crucial aspects in bank selection. The study employs quantitative research techniques, conducting surveys with Absa Bank customers to dissect their preferences. Findings suggest that transaction fees, corporate image, bank coverage, and size play a significant role in influencing customer decisions. The study emphasizes the importance of addressing these customer-identified factors to deter customer attrition. Recommendations include conducting regular surveys to keep abreast of changing customer preferences and maintaining a competitive edge. The research offered valuable insights that can guide strategic decision-making and marketing efforts in the retail banking sector.
In an incisive analysis of the marketing mix's impact on small retail businesses in Durban's Central Business District (CBD), this study scrutinizes the extended 7Ps framework: product, price, place, promotion, process, people and physical evidence. Utilizing a quantitative methodology, data from 217 owner-managers, captured via a 5-point Likert scale, were analysed through ANOVA and Tukey's HSD tests, unearthing deep insights. The findings disrupt conventional marketing paradigms, revealing that an intense focus on product attributes does not correlate with enhanced performance. Small businesses that maintained competitive, yet balanced pricing mechanisms outstripped are those that engages in fierce price wars, underscoring the dangers of excessive price reductions. Strategic promotional activities and well-considered choice locations were pivotal, whereas overemphasis on physical evidence and internal processes proved detrimental. The study results advocate for a balanced, strategic approach to the marketing mix, urging small businesses to rethink traditional priorities. This study offers crucial guidance for business owners seeking to optimize performance and calls for targeted policy measures to support the retail sector’s growth and sustainability.
This study provides a comprehensive analysis of the marketing mix strategies that influence customer acquisition at Spar in Durban. Utilizing a quantitative methodology, data were collected through structured questionnaires completed by 278 respondents. The findings indicate that Spar effectively employs digital marketing tools—including social media, WhatsApp, and loyalty programs—as key communication channels to engage customers. Reliability analysis confirmed the validity of the measurement instrument (Cronbach’s ? = 0.902; KMO = 0.899). The results demonstrate that younger consumers are more responsive to digital platforms, particularly social media and loyalty programs, while traditional methods such as printed flyers are less effective. No significant differences were observed in the perceived effectiveness of specific digital channels across different respondent groups, suggesting a consistent perception of Spar’s digital engagement. The study emphasizes the importance of integrating digital strategies with factors such as pricing, convenience, and product assortment to enhance customer acquisition in Durban’s competitive retail environment.
In the face of heightened global competition, micro and small enterprises (MSEs) in Durban, South Africa, face challenges such as limited resources and restricted market access, which hinder their ability to achieve sustained growth and profitability. This study aims to examine the influence of the 4Ps marketing mix on the performance of MSEs. A cross-sectional, descriptive study with a quantitative research design was employed. Data was collected from 217 MSEs using structured questionnaires, and the analysis was conducted with SPSS 29. Multiple regression analysis was used to examine the relationship between the 4Ps (product, price, promotion, place) and MSEs' performance. The findings show that pricing decisions are a significant determinant of performance, while product diversity does not necessarily enhance business outcomes, emphasizing the importance of strategic product management. Promotional efforts, while positive, were statistically insignificant, indicating complexities in their impact. The relationship between physical location (place) and performance was weak, suggesting a need for MSEs to optimise distribution channels through omnichannel strategies. In conclusion, MSEs can improve performance by refining promotional strategies, leveraging pricing and optimising distribution networks. Further research is suggested to explore the generalizability of these findings across different industries and additional factors influencing marketing strategies.
This study provides a comprehensive analysis of the marketing mix strategies that influence customer acquisition at Spar in Durban. Utilizing a quantitative methodology, data were collected through structured questionnaires completed by 278 respondents. The findings indicate that Spar effectively employs digital marketing tools—including social media, WhatsApp, and loyalty programs—as key communication channels to engage customers. Reliability analysis confirmed the validity of the measurement instrument (Cronbach’s ? = 0.902; KMO = 0.899). The results demonstrate that younger consumers are more responsive to digital platforms, particularly social media and loyalty programs, while traditional methods such as printed flyers are less effective. No significant differences were observed in the perceived effectiveness of specific digital channels across different respondent groups, suggesting a consistent perception of Spar’s digital engagement. The study emphasizes the importance of integrating digital strategies with factors such as pricing, convenience, and product assortment to enhance customer acquisition in Durban’s competitive retail environment.
In the face of heightened global competition, micro and small enterprises (MSEs) in Durban, South Africa, face challenges such as limited resources and restricted market access, which hinder their ability to achieve sustained growth and profitability. This study aims to examine the influence of the 4Ps marketing mix on the performance of MSEs. A cross-sectional, descriptive study with a quantitative research design was employed. Data was collected from 217 MSEs using structured questionnaires, and the analysis was conducted with SPSS 29. Multiple regression analysis was used to examine the relationship between the 4Ps (product, price, promotion, place) and MSEs' performance. The findings show that pricing decisions are a significant determinant of performance, while product diversity does not necessarily enhance business outcomes, emphasizing the importance of strategic product management. Promotional efforts, while positive, were statistically insignificant, indicating complexities in their impact. The relationship between physical location (place) and performance was weak, suggesting a need for MSEs to optimise distribution channels through omnichannel strategies. In conclusion, MSEs can improve performance by refining promotional strategies, leveraging pricing and optimising distribution networks. Further research is suggested to explore the generalizability of these findings across different industries and additional factors influencing marketing strategies.
In the ever-changing realm of retail banking, it is essential for banks to grasp the elements that affect customer decisions to stay ahead in the competition. This study delves into customer preferences when selecting a bank, focusing specifically on Absa Bank in South Africa. By utilizing a case study approach, the research delves into the factors that influence customer behavior in the retail banking industry. Referencing the consumer decision model, the study investigates various stages such as problem recognition, information search, evaluation of options, purchase decision, and post-purchase assessment. Factors such as security, convenience, assurance, accessibility, and responsiveness are pinpointed as crucial aspects in bank selection. The study employs quantitative research techniques, conducting surveys with Absa Bank customers to dissect their preferences. Findings suggest that transaction fees, corporate image, bank coverage, and size play a significant role in influencing customer decisions. The study emphasizes the importance of addressing these customer-identified factors to deter customer attrition. Recommendations include conducting regular surveys to keep abreast of changing customer preferences and maintaining a competitive edge. The research offered valuable insights that can guide strategic decision-making and marketing efforts in the retail banking sector.
In an incisive analysis of the marketing mix's impact on small retail businesses in Durban's Central Business District (CBD), this study scrutinizes the extended 7Ps framework: product, price, place, promotion, process, people and physical evidence. Utilizing a quantitative methodology, data from 217 owner-managers, captured via a 5-point Likert scale, were analysed through ANOVA and Tukey's HSD tests, unearthing deep insights. The findings disrupt conventional marketing paradigms, revealing that an intense focus on product attributes does not correlate with enhanced performance. Small businesses that maintained competitive, yet balanced pricing mechanisms outstripped are those that engages in fierce price wars, underscoring the dangers of excessive price reductions. Strategic promotional activities and well-considered choice locations were pivotal, whereas overemphasis on physical evidence and internal processes proved detrimental. The study results advocate for a balanced, strategic approach to the marketing mix, urging small businesses to rethink traditional priorities. This study offers crucial guidance for business owners seeking to optimize performance and calls for targeted policy measures to support the retail sector’s growth and sustainability.
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 |