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: 5 / 5 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 07:33 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 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 | 3 | 3 | 3/3 | 3/3 |
| 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 | 1 | 3 | 3/3 | 3/3 |
| 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 | 1 | 3 | 3/3 | 3/3 |
| 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 5 / 5 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): 2026-10-21T07:22:59.247895+00:00 — 2026-10-23T07:33:08.799119+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 0 | 5 | 5/5 |
| 2025 | All selected publications | 1 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 5 | 5/5 |
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 | 3 |
| 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 | 3 | 1 | 1 | 3/3 | 0.33 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This article explores the factors that have an impact on consumers' satisfaction and behavioural loyalty in relation to ordering and delivery applications, focusing on the emerging trend of online grocery shopping. Considering the digital revolution in retail, it is critical to comprehend consumer behaviour in this space. This study offers insights from a sample of 445 respondents in South Africa. A quantitative descriptive research methodology and a non-probability convenience sampling method were employed for the study. Structural equation modelling was utilised to validate the research measurement model and to test the study’s hypotheses. The results highlight the critical roles of design aesthetics, usefulness and confirmation and show robust positive correlations that support the linkages that the study's model postulates. Notably, design aesthetics, satisfaction and usefulness are all positively influenced by confirmation, and these factors, in turn, improve consumer satisfaction and behavioural loyalty. This study stands out because it provides a fresh viewpoint on the factors that influence customer satisfaction and behavioural loyalty, particularly when it comes to grocery shopping Apps. The distinctiveness of this study resides in its thorough analysis of important concepts and how they interact with one another, all against the backdrop of an African consumer base. The results obtained have numerous applications in the real world. Prioritising the factors that influence customer satisfaction and behavioural loyalty will help marketers and companies to improve app design and marketing tactics, which will increase user satisfaction and behavioural loyalty. Such a strategy could help close the gap between the rather different literatures on consumer behaviour and digital retailing, while also increasing sales through grocery shopping applications. Through this approach, stakeholders can obtain practical insights aimed at augmenting user engagement and loyalty within the fiercely competitive online grocery sector. All things considered, this study not only clarifies the essential elements that influence consumer satisfaction and behavioural loyalty in the online grocery industry but also lays out a roadmap for future research in this quickly developing field.
The study sought to establish the primary determinants of social media usage among mobile network users in Zimbabwe, and how do these determinants vary across different demographic characteristics, including age, gender, education, income, and occupation. A descriptive research design was used in this study. A self-administered face-to-face personal survey was used to collect data from the consumers. The population in this study was made up of mobile consumers of the mobile network providers, Econet, NetOne, and Telecel in Harare Province, aged between 18 and 64 years. Convenience sampling technique, was used to select the mobile network consumers to participate in the study drawn from the three mobile operators. A sample of 384 respondents was chosen for the study. The result indicated that male respondents demonstrated a stronger perception of the effects of social media engagement on social media usage and truthfulness as a determinant of social media usage among the 18 to 25 age group and the 34 to 41 age group was different. Respondents with secondary education only demonstrated stronger perceptions of the effect of perceived usefulness on social media usage than degree holders’ respondents. Formally employed respondents had a stronger perception of the effects of social media influence on social media usage compared to students. The analysis of the study results further indicated that respondents who earned less than $2000 was significantly less than the mean score for the group which earned between $3001- 4000. The study concluded that male consumers have a stronger perception of the effects of social media engagement on social media usage, the consumers in the 18 to 25 age group have stronger perceptions of truthfulness of information, holders of certificates have a stronger perception of the effects of cost effectiveness on social media usage and formally employed consumers have a stronger perception of the effects of social media influence on social media usage compared to students. Creation of social media content helps the mobile network operators to adapt, design and develop social media content specifically targeted to specific ages, gender, occupations, and income levels on social media sites. Mobile network operators can use the results of the study to choose a social media channel that speak to the right demographic consumers who visit their platforms.
General trends indicate an increase in the adoption and use of mobile shopping applications (apps) as well as shopping online. However, the trend seems not to be similar with township millennials in an emerging economy such as South Africa. Township millennial consumers seemingly prefer going in-store to buy products than via available mobile shopping apps. This novel study explored the reasons for resistance by township millennial customers to the adoption and use of mobile shopping apps during the COVID-19 pandemic to purchase products. The applicable and adopted research design for this study was explorative. A qualitative research approach was adopted and data was collected using online interviews. A sample size of ten township millennial consumers from four (Tembisa, Soweto, Katlehong, and Diepkloof) townships in South Africa participated in the interview process. Thematic analysis was used to analyse the collected data and determine the findings of the study. The main findings indicated that participants perceived some concerns related to security and privacy in using retail mobile shopping apps. There was a lack of knowledge and awareness regarding mobile shopping apps and how they function which further resulted in the resistance of usage. Township millennial consumers are stuck with the habit of buying in-store and cost is another factor that was highlighted as a cause for resistance, as they do not want to pay for delivery fees and hidden costs that arise from using retail mobile apps. The paper further provides valuable contributions, limitations and future study avenues. This study addressed the dearth in research about resistance factors in using advanced technology in townships. The findings provided insights into what mobile app shopping retailers should address to attract the adoption of app technologies and could mitigate further spread of future pandemics such as that of COVID-19.
This study examined the effect of entertainment benefits on the confirmation of application-based loyalty programmes among retail consumers in township markets. A positivist philosophy and mono-quantitative design were adopted. Using a survey, data were collected from 516 Black consumers aged 18-65 years who used at least one retail application-based loyalty programme. Respondents were selected through simple random sampling, and validated measurement scales were adapted to the study context. Partial least squares structural equation modelling was used to test the hypothesised relationship, with education, gender, age and income included as control variables. The findings indicate that entertainment benefits have a statistically significant, positive but modest effect on confirmation, while none of the control variables are statistically significant. From a theoretical perspective, a business ecosystem lens conceptualises entertainment benefits as engagement mechanisms within digital interaction platforms embedded in township retail ecosystems. These mechanisms shape post-adoption evaluation in resource-constrained environments. The study contributes to the literature by isolating entertainment benefits as a hedonic determinant of confirmation, thereby extending prior research that has predominantly focused on utilitarian drivers. It also provides a focused re-examination of an existing doctoral thesis relationship between entertainment benefits and confirmation, offering a more granular understanding of hedonic value in post-adoption evaluation. Practically, the findings highlight the importance of integrating entertainment-driven features into application-based loyalty programme design to strengthen retailer-consumer engagement and enhance confirmation in emerging-market digital retail environments.
The retail industry has seen a significant transformation since augmented reality (AR) technology was introduced into online shopping. However, several barriers continue to hinder the global adoption of online AR shopping, particularly for high-involvement products. This study investigates these barriers in the South African context, adopting a quantitative research approach. Data were collected through online self-administered questionnaires from a sample of 664 South African consumers. Multiple regression analysis was conducted to achieve the research objectives. The findings revealed that image barrier strongly inhibits AR adoption. Although insecurity and tradition barrier were not statistically significant, their negative effect suggests they may act as barriers to adoption. Surprisingly, discomfort and risk barrier yielded positive but non-significant results, leading to the rejection of these hypotheses. This research provides insights that are vital for retailers, technology developers, and policymakers striving to leverage AR technology effectively in online retail. The study offers practical strategies to address these barriers and facilitate wider adoption of AR technology. Additionally, it contributes to the broader discourse on the intersection of technology adoption, consumer behavior, and retail marketing strategies, particularly within the socio-economic and cultural complexities of South Africa.
This study examined the effect of entertainment benefits on the confirmation of application-based loyalty programmes among retail consumers in township markets. A positivist philosophy and mono-quantitative design were adopted. Using a survey, data were collected from 516 Black consumers aged 18-65 years who used at least one retail application-based loyalty programme. Respondents were selected through simple random sampling, and validated measurement scales were adapted to the study context. Partial least squares structural equation modelling was used to test the hypothesised relationship, with education, gender, age and income included as control variables. The findings indicate that entertainment benefits have a statistically significant, positive but modest effect on confirmation, while none of the control variables are statistically significant. From a theoretical perspective, a business ecosystem lens conceptualises entertainment benefits as engagement mechanisms within digital interaction platforms embedded in township retail ecosystems. These mechanisms shape post-adoption evaluation in resource-constrained environments. The study contributes to the literature by isolating entertainment benefits as a hedonic determinant of confirmation, thereby extending prior research that has predominantly focused on utilitarian drivers. It also provides a focused re-examination of an existing doctoral thesis relationship between entertainment benefits and confirmation, offering a more granular understanding of hedonic value in post-adoption evaluation. Practically, the findings highlight the importance of integrating entertainment-driven features into application-based loyalty programme design to strengthen retailer-consumer engagement and enhance confirmation in emerging-market digital retail environments.
The retail industry has seen a significant transformation since augmented reality (AR) technology was introduced into online shopping. However, several barriers continue to hinder the global adoption of online AR shopping, particularly for high-involvement products. This study investigates these barriers in the South African context, adopting a quantitative research approach. Data were collected through online self-administered questionnaires from a sample of 664 South African consumers. Multiple regression analysis was conducted to achieve the research objectives. The findings revealed that image barrier strongly inhibits AR adoption. Although insecurity and tradition barrier were not statistically significant, their negative effect suggests they may act as barriers to adoption. Surprisingly, discomfort and risk barrier yielded positive but non-significant results, leading to the rejection of these hypotheses. This research provides insights that are vital for retailers, technology developers, and policymakers striving to leverage AR technology effectively in online retail. The study offers practical strategies to address these barriers and facilitate wider adoption of AR technology. Additionally, it contributes to the broader discourse on the intersection of technology adoption, consumer behavior, and retail marketing strategies, particularly within the socio-economic and cultural complexities of South Africa.
The study sought to establish the primary determinants of social media usage among mobile network users in Zimbabwe, and how do these determinants vary across different demographic characteristics, including age, gender, education, income, and occupation. A descriptive research design was used in this study. A self-administered face-to-face personal survey was used to collect data from the consumers. The population in this study was made up of mobile consumers of the mobile network providers, Econet, NetOne, and Telecel in Harare Province, aged between 18 and 64 years. Convenience sampling technique, was used to select the mobile network consumers to participate in the study drawn from the three mobile operators. A sample of 384 respondents was chosen for the study. The result indicated that male respondents demonstrated a stronger perception of the effects of social media engagement on social media usage and truthfulness as a determinant of social media usage among the 18 to 25 age group and the 34 to 41 age group was different. Respondents with secondary education only demonstrated stronger perceptions of the effect of perceived usefulness on social media usage than degree holders’ respondents. Formally employed respondents had a stronger perception of the effects of social media influence on social media usage compared to students. The analysis of the study results further indicated that respondents who earned less than $2000 was significantly less than the mean score for the group which earned between $3001- 4000. The study concluded that male consumers have a stronger perception of the effects of social media engagement on social media usage, the consumers in the 18 to 25 age group have stronger perceptions of truthfulness of information, holders of certificates have a stronger perception of the effects of cost effectiveness on social media usage and formally employed consumers have a stronger perception of the effects of social media influence on social media usage compared to students. Creation of social media content helps the mobile network operators to adapt, design and develop social media content specifically targeted to specific ages, gender, occupations, and income levels on social media sites. Mobile network operators can use the results of the study to choose a social media channel that speak to the right demographic consumers who visit their platforms.
This article explores the factors that have an impact on consumers' satisfaction and behavioural loyalty in relation to ordering and delivery applications, focusing on the emerging trend of online grocery shopping. Considering the digital revolution in retail, it is critical to comprehend consumer behaviour in this space. This study offers insights from a sample of 445 respondents in South Africa. A quantitative descriptive research methodology and a non-probability convenience sampling method were employed for the study. Structural equation modelling was utilised to validate the research measurement model and to test the study’s hypotheses. The results highlight the critical roles of design aesthetics, usefulness and confirmation and show robust positive correlations that support the linkages that the study's model postulates. Notably, design aesthetics, satisfaction and usefulness are all positively influenced by confirmation, and these factors, in turn, improve consumer satisfaction and behavioural loyalty. This study stands out because it provides a fresh viewpoint on the factors that influence customer satisfaction and behavioural loyalty, particularly when it comes to grocery shopping Apps. The distinctiveness of this study resides in its thorough analysis of important concepts and how they interact with one another, all against the backdrop of an African consumer base. The results obtained have numerous applications in the real world. Prioritising the factors that influence customer satisfaction and behavioural loyalty will help marketers and companies to improve app design and marketing tactics, which will increase user satisfaction and behavioural loyalty. Such a strategy could help close the gap between the rather different literatures on consumer behaviour and digital retailing, while also increasing sales through grocery shopping applications. Through this approach, stakeholders can obtain practical insights aimed at augmenting user engagement and loyalty within the fiercely competitive online grocery sector. All things considered, this study not only clarifies the essential elements that influence consumer satisfaction and behavioural loyalty in the online grocery industry but also lays out a roadmap for future research in this quickly developing field.
General trends indicate an increase in the adoption and use of mobile shopping applications (apps) as well as shopping online. However, the trend seems not to be similar with township millennials in an emerging economy such as South Africa. Township millennial consumers seemingly prefer going in-store to buy products than via available mobile shopping apps. This novel study explored the reasons for resistance by township millennial customers to the adoption and use of mobile shopping apps during the COVID-19 pandemic to purchase products. The applicable and adopted research design for this study was explorative. A qualitative research approach was adopted and data was collected using online interviews. A sample size of ten township millennial consumers from four (Tembisa, Soweto, Katlehong, and Diepkloof) townships in South Africa participated in the interview process. Thematic analysis was used to analyse the collected data and determine the findings of the study. The main findings indicated that participants perceived some concerns related to security and privacy in using retail mobile shopping apps. There was a lack of knowledge and awareness regarding mobile shopping apps and how they function which further resulted in the resistance of usage. Township millennial consumers are stuck with the habit of buying in-store and cost is another factor that was highlighted as a cause for resistance, as they do not want to pay for delivery fees and hidden costs that arise from using retail mobile apps. The paper further provides valuable contributions, limitations and future study avenues. This study addressed the dearth in research about resistance factors in using advanced technology in townships. The findings provided insights into what mobile app shopping retailers should address to attract the adoption of app technologies and could mitigate further spread of future pandemics such as that of COVID-19.
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 |