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: 7 / 7 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 00:14 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.
5 / 7 with data · 2 missing or unmatched. Percentages use all 7 selected publications.
5 / 7 with data · 2 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2023 | 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 7 / 7 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): 2026-10-21T00:14:26.917538+00:00 — 2026-10-21T07:22:48.096949+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 1 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 1 | 7 | 7/7 |
| 2023 | All selected publications | 1 | 7 | 7/7 |
| 2024 | All selected publications | 2 | 7 | 7/7 |
| 2025 | All selected publications | 2 | 7 | 7/7 |
| 2026 | All selected publications | 1 | 7 | 7/7 |
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 |
|---|---|
| 2017 | 1 |
| 2019 | 2 |
| 2021 | 1 |
| 2022 | 2 |
| 2023 | 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 | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 0 | 1 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 6 | 6 | 5/5 | 1.2 | 1 | 60.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
The upsurge of private label brands has allowed retailers to expand their product offerings. However, these brands have been met with varying perceptions among consumers across the world. Therefore, this study investigated the role that marketing might have on the purchase intentions of customers opting to/not to purchase private label brands. The marketing instruments in question for this study were advertising, pricing, and price promotion, and their effect on customers’ purchase intention for private label brands. An integrative systematic review methodology in searching, screening, selecting, including, and excluding research articles; search strings were also formulated in searching for articles was followed. In this paper, a synthesis of the literature was undertaken, and future research direction was provided, giving future research and retailers three propositions to understand the effect of pricing, price promotions, and advertising in the purchase of private label brands.
The determination of retailers to deal with the challenges of managing perishable products’ category continues as they persist to provide quality service and fresh products to their customers. These challenges often afflict retailers and consumers alike, which innately impact category management and good consumer behavior. This article reports on a study that investigates the influence of category management on consumers’ purchase behavior of perishable products. The objectives of this article are to determine the influence of category management on purchase behavior, to explore the current retail category management practices for perishable products, and to investigate the relationship between pricing and shelf life of perishable products and how this relationship influences consumers’ purchase behavior. To achieve these objectives, in-depth semi-structured qualitative interviews that were explorative by nature were conducted, with ten (10) staff members of a selected store in Durban, South Africa, who were responsible for the perishable products category. The findings reveal that category management does influence the purchase behavior of perishable products; however, problems were identified concerning assortment planning, shelving, promotions, pricing, and shelf life. The results were limited to this Durban store. Recommendations were made to the retailers to solve those problems to effectively satisfy consumers.
Independent retailers face many challenges that influence their growth and development. Independent retailers are small businesses facing competition from major retailers in South Africa (SA) that have penetrated the townships and rural areas. The purpose of the study was to investigate the challenges that influence the development of independent retailers in SA. A survey was conducted among small independent retailers in SA. The convenience sampling method was adopted for the study due to the inaccessibility of a database on independent retailers in SA. Existing literature was used to design a questionnaire, targeted at small independent retailers, to investigate the challenges that influence their business performance. The findings of the study revealed that finance and marketing are the major challenges influencing the operations of small, independent retailers. Business-related challenges are the least challenging aspects for small independent retailers in SA. Independent retailers need to manage their businesses appropriately in order to survive and sustain their businesses. Independent retailers buy products from wholesalers while a few of them buy directly from manufacturers.
Market analysis is a diagnostic process to uncover the root causes of how markets perform from an economic perspective. This market analysis will help us understand how the market supply and demand work and what elements affect this performance during 2015-2017. Market analysis provides the initial foundation for the market intervention; this foundation is not constant as markets that are constantly evolving and dynamic. This paper will analyze the factors that affect the supply and demand in the same period in addition to the price elasticity for the Tesla Model - S. Finally, this paper develops an insight into the future of the industry.
This research project is mainly focused on analyzing pricing policy and its impact on company’s profitability through collecting receipts from 3 different places in Kurdistan Region of Iraq/ Sulaimani to evaluate their pricing policy and its impact on generating profits and increasing sales on the one hand, and interviewing some accounting, and economy’s experts on the other. A hypothesis has been developed in which pricing policy affects profits and sales. The results indicated that pricing policy has an impact on profits and sales. And further information has been provided in the research.
The needs of the customers residing in townships are generally met by informal retailers operating spaza and tuck shops. These retailers sell personal and household products such as cooking oil, sugar, maize flour, snacks, soap, paraffin, candles, matches, disinfectants, cigarettes, and prepaid airtime for mobile phones. However, several factors determine the success and marketing of these products to townships by retailers. Therefore, this study sought to analyse the factors determining the marketing of products to townships amongst Small and Medium Enterprises (SMEs) within the retail sector. Thus, a literature review was conducted to collect information to identify factors determining the marketing of products to townships amongst SMEs within the retail sector using several databases. The year 2012 signaled the commencement of an organised search for publications that were pertinent to the topic. The researcher searched for journals published on township retail and marketing using buzzwords relevant to the current study. The findings of this study show that the following are marketing factors: product quality, product price, customer satisfaction, customer loyalty, and customer service. Non-marketing factors encompass competition, the transport system, road infrastructure, security, licensing and regulatory requirements, and business location. Therefore, retailers are asked to pay particular attention to these factors because they are crucial to marketing and achieving a competitive advantage.
The determination of retailers to deal with the challenges of managing perishable products’ category continues as they persist to provide quality service and fresh products to their customers. These challenges often afflict retailers and consumers alike, which innately impact category management and good consumer behavior. This article reports on a study that investigates the influence of category management on consumers’ purchase behavior of perishable products. The objectives of this article are to determine the influence of category management on purchase behavior, to explore the current retail category management practices for perishable products, and to investigate the relationship between pricing and shelf life of perishable products and how this relationship influences consumers’ purchase behavior. To achieve these objectives, in-depth semi-structured qualitative interviews that were explorative by nature were conducted, with ten (10) staff members of a selected store in Durban, South Africa, who were responsible for the perishable products category. The findings reveal that category management does influence the purchase behavior of perishable products; however, problems were identified concerning assortment planning, shelving, promotions, pricing, and shelf life. The results were limited to this Durban store. Recommendations were made to the retailers to solve those problems to effectively satisfy consumers.
The upsurge of private label brands has allowed retailers to expand their product offerings. However, these brands have been met with varying perceptions among consumers across the world. Therefore, this study investigated the role that marketing might have on the purchase intentions of customers opting to/not to purchase private label brands. The marketing instruments in question for this study were advertising, pricing, and price promotion, and their effect on customers’ purchase intention for private label brands. An integrative systematic review methodology in searching, screening, selecting, including, and excluding research articles; search strings were also formulated in searching for articles was followed. In this paper, a synthesis of the literature was undertaken, and future research direction was provided, giving future research and retailers three propositions to understand the effect of pricing, price promotions, and advertising in the purchase of private label brands.
Independent retailers face many challenges that influence their growth and development. Independent retailers are small businesses facing competition from major retailers in South Africa (SA) that have penetrated the townships and rural areas. The purpose of the study was to investigate the challenges that influence the development of independent retailers in SA. A survey was conducted among small independent retailers in SA. The convenience sampling method was adopted for the study due to the inaccessibility of a database on independent retailers in SA. Existing literature was used to design a questionnaire, targeted at small independent retailers, to investigate the challenges that influence their business performance. The findings of the study revealed that finance and marketing are the major challenges influencing the operations of small, independent retailers. Business-related challenges are the least challenging aspects for small independent retailers in SA. Independent retailers need to manage their businesses appropriately in order to survive and sustain their businesses. Independent retailers buy products from wholesalers while a few of them buy directly from manufacturers.
Market analysis is a diagnostic process to uncover the root causes of how markets perform from an economic perspective. This market analysis will help us understand how the market supply and demand work and what elements affect this performance during 2015-2017. Market analysis provides the initial foundation for the market intervention; this foundation is not constant as markets that are constantly evolving and dynamic. This paper will analyze the factors that affect the supply and demand in the same period in addition to the price elasticity for the Tesla Model - S. Finally, this paper develops an insight into the future of the industry.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |