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: 10 / 10 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 12:07 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.
9 / 10 with data · 1 missing or unmatched. Percentages use all 10 selected publications.
9 / 10 with data · 1 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 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 | 10 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 16 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 17 | 10 | 10/10 | 10/10 |
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 10 / 10 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): 2026-10-21T07:22:54.125080+00:00 — 2026-10-23T12:07:07.240678+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 | 10 | 10/10 |
| 2018 | All selected publications | 0 | 10 | 10/10 |
| 2019 | All selected publications | 0 | 10 | 10/10 |
| 2020 | All selected publications | 0 | 10 | 10/10 |
| 2021 | All selected publications | 0 | 10 | 10/10 |
| 2022 | All selected publications | 0 | 10 | 10/10 |
| 2023 | All selected publications | 0 | 10 | 10/10 |
| 2024 | All selected publications | 4 | 10 | 10/10 |
| 2025 | All selected publications | 7 | 10 | 10/10 |
| 2026 | All selected publications | 6 | 10 | 10/10 |
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 | 10 |
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 | 6 | 6 | 2/2 | 3.0 | 3.0 | 100.0 | 2/2 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 7 | 10 | 11 | 7/7 | 1.43 | 1 | 57.1 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
Service quality and customer retention remain essential issues in the service sector. This research delves into unravelling the complex relationships between the facets of the SERVQUAL model (reliability, responsiveness, tangibility, assurance, and empathy) and the retention of hotel customers in less-urban areas of Ghana. A cross-sectional survey of 450 customers of hotels in the Volta Region produced data for descriptive and regression analyses using Smart PLS 4. The results show that service quality was rated moderately, only assurance and empathy significantly affect customer retention, while tangibility, reliability, and responsiveness do not. Generalizability of our findings to other regions of Ghana and elsewhere might be questioned because the study was limited to only one region. However, this seeming limitation provides novelty and value in several ways. Firstly, while SERVQUAL is widely used, its application to less-urban geographical areas like the Volta Region is uncommon. Moreover, the study provides a deeper understanding of how service quality affects customer retention by focusing on a specific, narrow regional area. Further, by differing from the usual broader hospitality research, this distinctive approach offers valuable insights into local customers' unique preferences and behaviours that larger-scale studies may overlook.
This research investigates consumer perceptions of retail service quality at a particular supermarket chain located in KwaZulu-Natal, South Africa. It expands upon the SERVQUAL paradigm to examine the determinants influencing consumer happiness and loyalty within the supermarket scenario. The study utilised a quantitative research design to gather data from 400 customers at four supermarket sites in KwaZulu-Natal, South Africa. Exploratory and confirmatory factor analyses were employed to assess the dimensionality, reliability, and validity of variables evaluating retail service quality. Structural equation modelling (SEM) was utilised to examine the interrelations among these constructs. The study examined the impact of interpersonal interactions, loyalty, customer satisfaction, physical attributes, policies, and reliability on customer views. The results demonstrate that clients uphold favourable attitudes regarding all dimensions of service quality, with personal interaction, loyalty, and customer satisfaction being especially significant. The study establishes a substantial positive correlation among policy, physical attributes, interpersonal contacts, and customer happiness. Nonetheless, it fails to establish a substantial correlation between reliability and consumer pleasure. The study emphasises the significant impact of customer happiness on perceived loyalty. The study contributes by adapting and validating the SERVQUAL paradigm for the context of grocery chains. It provides pragmatic insights for service businesses seeking to improve customer experiences and cultivate loyalty.
Organisations in the public sector are faced with challenges in the delivery of high-quality services to clients. This research paper reports on a study conducted to determine clients’ perceptions of service quality at licensing service centres (LCSs) in the City of Tshwane (CoT) Metropolitan Municipality, South Africa. The research adopted a quantitative approach to realise the research objective. A convenience sampling method was used to collect primary data. 262 respondents participated in the research. A structured questionnaire was used to collect primary data from respondents. The research used the SERVPERF instrument to measure service quality. Respondents were asked to rate the level of service at LSCs. The descriptive data analysis method was used to analyse the primary data with the aid of a statistical software package, Statistical Package for Social Sciences (SPSS). Cronbach's alpha values were used to measure the internal consistency and reliability of the measurement scales. The results revealed that all rated service quality dimensions were average, which means that respondents neither agreed nor disagreed with statements about the level of service offered by LSCs. The research paper includes recommendations on the continuous improvement of service quality at LSCs and on future research directions.
This study explores customers' perceptions of the service quality provided in the hotel industry in Pretoria, in the Republic of South Africa. Considering the growth of the hotel industry in Pretoria, this study revealed that customers expect to receive a high level of service quality, leading to customer satisfaction and producing a positive perception of hotel service quality. An exploratory research design was adopted, and qualitative data were collected by interviewing hotel customers. Regarding limitations, this study was conducted at one selected hotel in Pretoria. Atlas.ti software was used to analyse the collected data. The analysis of the data identified several specific themes that were relevant to shaping the perceptions of the respondents in terms of service quality and their satisfaction with the service quality received. The themes supported existing literature regarding (i) the factors influencing perceptions of service and (ii) the specific influences within those themes, which were elaborated on, finally leading to recommendations for managing service quality perceptions in the hotel industry.
Service quality is crucial for all service providers operating in the open market across all industries, particularly in the aviation sector, which produces billions of dollars in annual revenue from its services. The level of service quality significantly influences client satisfaction, and conversely, customer happiness reciprocally affects the service provider. In order to attain diverse company objectives, it is imperative to prioritize customer happiness specifically during the process of privatization. The primary objective of this research is to examine the influence of airport service quality on customer satisfaction within the context of a privatized airport. Descriptive and correlation analyses were utilized in the study. A total of 400 questionnaires were administered to passengers who embarked from Aden Adde International Airport as part of the study. Subsequently, the data was subjected to analysis utilizing a statistical software program designed for social science software (SPSS). The results of this analysis revealed a robust and positive correlation between Airport customer services and customer happiness. The study additionally revealed that a significant proportion of the airport's passengers expressed dissatisfaction with the services provided by Aden Adde International airport.
Contact centre operations are essential for providing customer support and managing client enquiries. A contact centre, akin to any other business, necessitates numerous essential components. A significant number of these components directly influence the business. Recognising and improving these elements can assist a contact centre in achieving its overarching objectives. The report seeks to analyse the essential elements that improve the efficiency and effectiveness of contact centre operations. The emphasis is on technology, personnel, and processes as the essential elements that enhance the efficient and effective operation of contact centres. The efficacy and efficiency of a contact centre environment encompass personnel, procedures, and technology across all organisational levels. These components must not be considered in isolation, as they influence the success or failure of a contact centre environment. Consequently, comprehending the interaction between these components is of paramount importance.Quantitative data were evaluated with the Statistical Package for the Social Sciences (SPSS). The convenience sample approach was deemed suitable for sampling contact centre agents, team leaders, and managers at the Department of Home Affairs. The study's principal findings indicate that both the literature research and the results highlighted the significance of components in facilitating the functioning and performance of contact centre operations. The data corroborate the idea that numerous contact centre failures stem from the absence of essential components necessary for its operation. The inclusion of suitable components in the contact centre has revolutionised management's oversight of these facilities. The analysis indicates that an effective team inside the company facilitates the management of contact centres. The report advocates for the implementation of integrated technological solutions to expedite customer interactions and improve operational efficiency in contact centres. It is advisable to invest in frequent employee training to ensure that staff are equipped to handle complex enquiries and effectively utilise advanced systems. Optimised process enhancement initiatives, including workflow simplification and decrease of call handling duration, are deemed essential for augmenting functionality.
This research investigates consumer perceptions of retail service quality at a particular supermarket chain located in KwaZulu-Natal, South Africa. It expands upon the SERVQUAL paradigm to examine the determinants influencing consumer happiness and loyalty within the supermarket scenario. The study utilised a quantitative research design to gather data from 400 customers at four supermarket sites in KwaZulu-Natal, South Africa. Exploratory and confirmatory factor analyses were employed to assess the dimensionality, reliability, and validity of variables evaluating retail service quality. Structural equation modelling (SEM) was utilised to examine the interrelations among these constructs. The study examined the impact of interpersonal interactions, loyalty, customer satisfaction, physical attributes, policies, and reliability on customer views. The results demonstrate that clients uphold favourable attitudes regarding all dimensions of service quality, with personal interaction, loyalty, and customer satisfaction being especially significant. The study establishes a substantial positive correlation among policy, physical attributes, interpersonal contacts, and customer happiness. Nonetheless, it fails to establish a substantial correlation between reliability and consumer pleasure. The study emphasises the significant impact of customer happiness on perceived loyalty. The study contributes by adapting and validating the SERVQUAL paradigm for the context of grocery chains. It provides pragmatic insights for service businesses seeking to improve customer experiences and cultivate loyalty.
Deposit-taking Savings and Credit Cooperative Societies (SACCOS) in Kenya have faced significant challenges due to intense competition and declining customer numbers, which underscores the need for further investigation into relationship marketing strategies. A key research gap is the role of digital platforms in moderating the effectiveness of these strategies and their impact on customer loyalty. This study aimed to evaluate how digital platforms influence the relationship between relationship marketing (RM) and customer loyalty among SACCOs in Western Kenya. Using Relationship Commitment, Social Exchange, and Commitment Trust theories, the research focused on 23 SACCOs with 37,137 customers and surveyed 396 respondents, including prior pilot study. Descriptive and correlational research designs were used, with data collected via self-administered questionnaires and systematic sampling. Analysis with SPSS assessed validity and reliability, employing descriptive statistics and inferential methods such as Pearson’s Correlation, Simple Linear Regression, and Hierarchical Regression Analysis. Assumption tests confirmed that the research data met normality, linearity, homoscedasticity, and multicollinearity criteria, with a response rate of 87.63% and significant correlations (p<0.05) among variables. Digital Platforms were found to contribute significant moderating role on the link between Relationship Management and Customer Loyalty (p<0.05), emphasizing features like interactivity, personalization, and trustworthiness. The results suggest that in order to enhance customer experience, SACCOs should allocate resources towards the development of user-friendly digital platforms, utilize data analytics in targeted marketing efforts, so as to enhance engagement with the community via online channels. Moreover, it is crucial for SACCOs to prioritize personalized service, establish trust, and strive for continuous improvement, while taking into account regulatory revisions, in order to maximize the effectiveness of digital platforms within the financial sector.
Organisations in the public sector are faced with challenges in the delivery of high-quality services to clients. This research paper reports on a study conducted to determine clients’ perceptions of service quality at licensing service centres (LCSs) in the City of Tshwane (CoT) Metropolitan Municipality, South Africa. The research adopted a quantitative approach to realise the research objective. A convenience sampling method was used to collect primary data. 262 respondents participated in the research. A structured questionnaire was used to collect primary data from respondents. The research used the SERVPERF instrument to measure service quality. Respondents were asked to rate the level of service at LSCs. The descriptive data analysis method was used to analyse the primary data with the aid of a statistical software package, Statistical Package for Social Sciences (SPSS). Cronbach's alpha values were used to measure the internal consistency and reliability of the measurement scales. The results revealed that all rated service quality dimensions were average, which means that respondents neither agreed nor disagreed with statements about the level of service offered by LSCs. The research paper includes recommendations on the continuous improvement of service quality at LSCs and on future research directions.
This study explores customers' perceptions of the service quality provided in the hotel industry in Pretoria, in the Republic of South Africa. Considering the growth of the hotel industry in Pretoria, this study revealed that customers expect to receive a high level of service quality, leading to customer satisfaction and producing a positive perception of hotel service quality. An exploratory research design was adopted, and qualitative data were collected by interviewing hotel customers. Regarding limitations, this study was conducted at one selected hotel in Pretoria. Atlas.ti software was used to analyse the collected data. The analysis of the data identified several specific themes that were relevant to shaping the perceptions of the respondents in terms of service quality and their satisfaction with the service quality received. The themes supported existing literature regarding (i) the factors influencing perceptions of service and (ii) the specific influences within those themes, which were elaborated on, finally leading to recommendations for managing service quality perceptions in the hotel 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 |