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: 3 / 3 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 13 | 2 | 2/2 | 2/2 |
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 3 / 3 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): 2026-10-21T07:22:46.040864+00:00 — 2026-10-21T07:22:46.711943+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 3 | 3 | 3/3 |
| 2024 | All selected publications | 7 | 3 | 3/3 |
| 2025 | All selected publications | 3 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 |
|---|---|
| 2022 | 1 |
| 2023 | 2 |
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 | 3 | 9 | 13 | 3/3 | 3.0 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The study's primary objective was to analyze the effectiveness of e-customer service platforms on customer satisfaction in commercial banks in Botswana, using ABSA bank as a case study. The secondary objectives were to assess the effectiveness of reliability, responsiveness, assurance, empathy and tangibles of e-customer service platforms on customer satisfaction at ABSA bank. A positivist research philosophy was adopted. A cross-sectional survey design was used to collect data and probability sampling was employed. Data were collected from 180 customers who use ABSA e-customer services platforms using a structured questionnaire with Likert-type questions. Reliability was assessed using Cronbach’s alpha (?). Data were analysed using descriptive statistics, which include mean and standard deviation. Regression and correlation were applied to test research hypotheses. Results indicate that reliability, responsiveness, assurance, empathy and tangibles of e-customer services platforms at ABSA are positively linked to customer satisfaction. ABSA Bank management is therefore recommended to focus on continuous improvement on customer experiences to satisfy customers. Thus, ABSA should ensure that its services are unique, unforgettable and memorable such that customers are satisfied and share the positive word of mouth about the benefits offered by the bank. ABSA should also consider customer experience and continuous improvement of digital banking platforms as tools that can be used to increase customer satisfaction and loyalty. It is recommended that future studies be carried out across other banks in Botswana and the African context as well.
The study focused on the effectiveness of using (SMS) customer service platforms to meet customer satisfaction at Edgars stores Ltd in Zimbabwe. The main objective of the research was to measure the effectiveness of SMS customer service platforms on customer satisfaction. A causal research design was employed, and a simple random sampling technique was used in selecting the respondents. Questionnaires were used to gather data from a sample size of 357 consisting of 342 customers and 15 Edgars’ stores Ltd staff members. The data were analyzed using SPSS version 20 to determine the strength of the relationship and the moderating effect. The research findings from the hypothesis tests explored a significant and positive relationship between SMS customer service platforms and customer satisfaction. The study recommended the company use SMS customer service platforms for other promotional activities like sending bonus vouchers, news releases and advertisements. This will encourage more customers to shop hence improving market share. The SMS customer service platforms can also give after-sales services, personalized information, and birthday wishes. All these will increase customer satisfaction.
The purpose of the study is to explore the critical success factors for CRM in the local government authorities in SADC. Although many empirical studies have been conducted on customer-relationship-management (CRM), little research on the psychometric properties of CRM scale items in the local government authorities’ context has been conducted. This empirical study, based on key informant data drawn from sampled local government authorities in three SADC countries (Zimbabwe, Botswana and South Africa), developed a reliable scale with demonstrated content and convergent validity. In this study, confirmatory factor analysis (CFA) was employed using the Amos 18 version and the SPSS version 20 software. The study results revealed that for CRM Strategy success to be achieved, LGA needs to consider the following factors: Due diligence, Strategy focus and alignment, customer focus, change management, Implementation Strategy, Implementation approach, Metrics, Project management, Process design, Buy-in and adoption. Therefore, the study results suggested that city and town council managers must seriously consider all the ten critical success factors to improve the CRM performance of local government authorities.
The study's primary objective was to analyze the effectiveness of e-customer service platforms on customer satisfaction in commercial banks in Botswana, using ABSA bank as a case study. The secondary objectives were to assess the effectiveness of reliability, responsiveness, assurance, empathy and tangibles of e-customer service platforms on customer satisfaction at ABSA bank. A positivist research philosophy was adopted. A cross-sectional survey design was used to collect data and probability sampling was employed. Data were collected from 180 customers who use ABSA e-customer services platforms using a structured questionnaire with Likert-type questions. Reliability was assessed using Cronbach’s alpha (?). Data were analysed using descriptive statistics, which include mean and standard deviation. Regression and correlation were applied to test research hypotheses. Results indicate that reliability, responsiveness, assurance, empathy and tangibles of e-customer services platforms at ABSA are positively linked to customer satisfaction. ABSA Bank management is therefore recommended to focus on continuous improvement on customer experiences to satisfy customers. Thus, ABSA should ensure that its services are unique, unforgettable and memorable such that customers are satisfied and share the positive word of mouth about the benefits offered by the bank. ABSA should also consider customer experience and continuous improvement of digital banking platforms as tools that can be used to increase customer satisfaction and loyalty. It is recommended that future studies be carried out across other banks in Botswana and the African context as well.
The study focused on the effectiveness of using (SMS) customer service platforms to meet customer satisfaction at Edgars stores Ltd in Zimbabwe. The main objective of the research was to measure the effectiveness of SMS customer service platforms on customer satisfaction. A causal research design was employed, and a simple random sampling technique was used in selecting the respondents. Questionnaires were used to gather data from a sample size of 357 consisting of 342 customers and 15 Edgars’ stores Ltd staff members. The data were analyzed using SPSS version 20 to determine the strength of the relationship and the moderating effect. The research findings from the hypothesis tests explored a significant and positive relationship between SMS customer service platforms and customer satisfaction. The study recommended the company use SMS customer service platforms for other promotional activities like sending bonus vouchers, news releases and advertisements. This will encourage more customers to shop hence improving market share. The SMS customer service platforms can also give after-sales services, personalized information, and birthday wishes. All these will increase customer satisfaction.
The purpose of the study is to explore the critical success factors for CRM in the local government authorities in SADC. Although many empirical studies have been conducted on customer-relationship-management (CRM), little research on the psychometric properties of CRM scale items in the local government authorities’ context has been conducted. This empirical study, based on key informant data drawn from sampled local government authorities in three SADC countries (Zimbabwe, Botswana and South Africa), developed a reliable scale with demonstrated content and convergent validity. In this study, confirmatory factor analysis (CFA) was employed using the Amos 18 version and the SPSS version 20 software. The study results revealed that for CRM Strategy success to be achieved, LGA needs to consider the following factors: Due diligence, Strategy focus and alignment, customer focus, change management, Implementation Strategy, Implementation approach, Metrics, Project management, Process design, Buy-in and adoption. Therefore, the study results suggested that city and town council managers must seriously consider all the ten critical success factors to improve the CRM performance of local government authorities.
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 |