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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 7/7 recordsLast OpenAlex observation 22 Oct 2026, 02:38 UTC
PUBLICATIONS7In the selected collection
CROSSREF CITATIONS07/7 with known counts
OPENALEX CITATIONS07/7 with known counts
OPENALEX MEAN0.0Per article with a known count
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topic: Customer Service Quality and Loyalty Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Walter Sisulu University3Durban University of Technology2Tshwane University of Technology17/7 records with data

Countries

South Africa6Indonesia17/7 records with data

Primary topics

Customer Service Quality and Loyalty77/7 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 7/7 articles. Latest history observation: 2026-10-22T02:38:21.083349+00:00. Source totals are never added together.
Research side by side

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Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
7 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS7
CROSSREF CITATIONS0
CROSSREF · CITED PUBLICATIONS0.0%
CROSSREF · MEAN CITATIONS0.0

Crossref citation coverage: 7 / 7 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS0
DOI MATCH COVERAGE100.0%7 / 7 publications
MEAN · KNOWN COUNTS ONLY0.07 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 02:38 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations71–506–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Countries

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Primary topics

7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.

Citation year / OpenAlex

Citations received over time

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): 2026-10-21T07:23:05.132761+00:00 — 2026-10-22T02:38:21.083349+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/72026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 7/7 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications077/7
2018All selected publications077/7
2019All selected publications077/7
2020All selected publications077/7
2021All selected publications077/7
2022All selected publications077/7
2023All selected publications077/7
2024All selected publications077/7
2025All selected publications077/7
2026All selected publications077/7

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean0.0
Median0
No citations71–506–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
3003/30.000.03/3 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
4004/40.00.00.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 7 →

Most cited · Crossref

JOURNAL ARTICLE

Understanding Customer Loyalty Formation in Urban Retail: The Sequential Role of Purchase Decision and Customer Satisfaction

Nory Fani · Fauziah Eddyono

International Journal of Research in Business and Social Science · 2026

Read abstract

This study aims to examine the effects of price discount and delivery service on purchase decision and their subsequent impact on customer satisfaction and customer loyalty within an urban franchise retail context. A quantitative approach was employed using a survey of 220 consumers of Indomaret Anggrek Rosliana Raya, West Jakarta. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that price discount has a significant but relatively weak effect on purchase decision, while delivery service demonstrates a stronger influence, highlighting the increasing importance of service convenience in urban retail environments. Furthermore, purchase decision has a substantial effect on customer satisfaction, which in turn strongly influences customer loyalty. The study also confirms a sequential mediation mechanism, where marketing stimuli influence customer loyalty indirectly through purchase decision and customer satisfaction. Unlike previous customer loyalty studies that predominantly examine the direct effects of marketing stimuli on satisfaction or loyalty, this study develops a sequential framework in which purchase decision functions as a cognitive mediator preceding customer satisfaction as an affective mediator. This model extends existing customer loyalty frameworks by demonstrating that loyalty emerges through a two-stage evaluation process rather than through isolated direct relationships.

DOI 10.20525/ijrbs.v15i5.52310 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Drivers of customer satisfaction in the telecommunications industry of Zimbabwe: A mixed-methods study from Manicaland Province

Ruth Shiridzinodya · Dzidzai Muchakubvura · Ranzi Mazenge Rusike · Sifiso Vilakati

International Journal of Research in Business and Social Science · 2026

Read abstract

Customer service quality is still a major problem in Zimbabwe’s telecommunications sector. This study aimed to develop a framework to improve customer service in the sector. It focused on how network reliability, how quickly complaints are resolved, staff skills and empathy, and customer involvement in service improvement affect customer satisfaction. Customers often face network failures, slow responses to complaints, and poor communication with service providers. These problems reduce customer satisfaction.: The study used data collected in Manicaland Province, Zimbabwe. A convergent parallel mixed-methods approach was used. Quantitative data were collected from a random sample of 220 customers, while qualitative data were collected from 13 purposively selected participants, including managers and frontline customer service staff. Data analysis was conducted using SPSS AMOS version 23 and thematic analysis. The results showed that network reliability had a strong and positive effect on customer satisfaction. Staff competence and empathy also had a significant positive effect on customer satisfaction, showing that skilled, respectful, and caring staff improve customers’ experiences. In contrast, complaint-resolution efficiency did not have a significant effect on customer satisfaction. The analysis further showed that value co-creation partially mediated the relationship between network reliability and customer satisfaction, as well as between staff competence and customer satisfaction. The study recommended that regulators such as Postal and Telecommunications Regulatory Authority of Zimbabwe (POTRAZ) enforce service quality standards, and that policymakers support digital inclusion and innovation. The study contributes that customer satisfaction can be improved by upgrading network infrastructure, providing ongoing staff training, empowering frontline employees, and creating formal ways to engage customers.

DOI 10.20525/ijrbs.v15i4.50750 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Customer relationship management as a strategic instrument for enhancing customer retention: a case study of an ICT company in Johannesburg<b></b>

Christopher Sibisi · Veena Parboo Rawjee · Elvis Madondo · Jeevarathnam P Govender

International Journal of Research in Business and Social Science · 2026

Read abstract

In the competitive business environment, organisations are increasingly adopting Customer Relationship Management (CRM) strategies to strengthen customer retention and improve service delivery. This study explored CRM as a strategic tool for customer retention at a selected Information Communication Technology (ICT) company based in Johannesburg, South Africa. A quantitative research approach was employed, targeting 121 employees across sales, marketing, business development, logistics, and finance departments. These employees were selected due to their direct engagement with customers. Data were collected through structured online questionnaires and analysed using the Statistical Package for the Social Sciences (SPSS) version 26. Descriptive and inferential statistical techniques, including Pearson’s correlation and regression analysis, were applied to evaluate the relationship between CRM and customer retention. The findings revealed a moderate but significant positive correlation between CRM and customer retention, indicating that strategic CRM practices contribute to stronger customer loyalty. The research concludes that CRM is a critical organisational strategy that can enhance customer retention if properly integrated and supported across business functions. It recommends further investment in CRM systems, employee training, and customer engagement initiatives to sustain competitive advantage and long-term growth.

DOI 10.20525/ijrbs.v14i9.44870 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Food and service quality as drivers of customer satisfaction and behavioural intention at quick service restaurants in Tshwane Urban, South Africa

Clay Hutama Basera · Johan. W De Jager · Antonie Drotsky

International Journal of Research in Business and Social Science · 2026

Read abstract

The continued increase in food demand globally, has witnessed a corresponding growth in the fast-food restaurant business. The study of food and service quality as major drivers of customer satisfaction and behavioural intention has therefore become a strategic area of interest. This study explored how food and service quality affect customer satisfaction and behavioural intention in the context of quick-service restaurants in Tshwane City of South Africa. Guided by a positivist philosophy, the study employed a deductive approach to theory development. A cross-sectional descriptive research design was adopted and a structured survey instrument was used to collect data from 173 online participants. The results were analysed using IBM SPSS 26, and partial least squares structural equation modelling in Smart PLS 4 to test hypotheses. The findings showed that although food quality had a significant positive effect on behavioural intention, it was not a predictor of customer satisfaction. All the elements of service quality exhibited significant positive influence on satisfaction and behavioural intention. This study offers invaluable insights for managers to embrace customer-driven strategies such as offering high quality food and service because the success of culinary business revolves around achieving customer satisfaction, which is vital for creating positive behavioural intentions. Future studies can be done using relatively larger sample sizes for more generalisability in related studies or other service domains.

DOI 10.20525/ijrbs.v14i9.46340 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The role of customer service in shaping consumer buying patterns among SMEs in East London

Anam Keyiya · Tshepo Tlapana

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

This study explores how customer service influences consumer buying patterns among SMEs in East London, South Africa. SMEs are crucial to the local economy, yet many face challenges in retaining customers due to inconsistent service quality and limited resources. The research examines how service factors such as staff professionalism, communication, complaint handling, and responsiveness impact customer satisfaction, loyalty, and purchasing choices. Using the SERVQUAL model, Expectancy-Disconfirmation Theory, and Relationship Marketing Theory, a quantitative, cross-sectional survey was conducted. Data from 100 consumers who recently interacted with East London’s SMEs indicate that customer service is the top factor influencing purchasing decisions, surpassing price, product quality, and convenience. Friendly, helpful staff, strong after-sales support, and effective communication are key to fostering loyalty and repeat business. Although perceptions of service quality are generally positive, 25% of respondents expressed dissatisfaction due to delays, poor communication, and a lack of product knowledge. These issues underscore the need for targeted initiatives, including staff training, digital engagement, and loyalty programs. The study highlights the growing role of digital platforms in improving service delivery, especially for younger, tech-savvy consumers. Overall, the study recommends that SMEs should focus on regular training programs centered on customer engagement, product knowledge, and complaint handling. This will enhance service consistency and professionalism, leading to higher customer satisfaction and loyalty.

DOI 10.36096/ijbes.v8i3.12370 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Understanding Customer Loyalty Formation in Urban Retail: The Sequential Role of Purchase Decision and Customer Satisfaction

Nory Fani · Fauziah Eddyono

International Journal of Research in Business and Social Science · 2026

Read abstract

This study aims to examine the effects of price discount and delivery service on purchase decision and their subsequent impact on customer satisfaction and customer loyalty within an urban franchise retail context. A quantitative approach was employed using a survey of 220 consumers of Indomaret Anggrek Rosliana Raya, West Jakarta. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that price discount has a significant but relatively weak effect on purchase decision, while delivery service demonstrates a stronger influence, highlighting the increasing importance of service convenience in urban retail environments. Furthermore, purchase decision has a substantial effect on customer satisfaction, which in turn strongly influences customer loyalty. The study also confirms a sequential mediation mechanism, where marketing stimuli influence customer loyalty indirectly through purchase decision and customer satisfaction. Unlike previous customer loyalty studies that predominantly examine the direct effects of marketing stimuli on satisfaction or loyalty, this study develops a sequential framework in which purchase decision functions as a cognitive mediator preceding customer satisfaction as an affective mediator. This model extends existing customer loyalty frameworks by demonstrating that loyalty emerges through a two-stage evaluation process rather than through isolated direct relationships.

DOI 10.20525/ijrbs.v15i5.52310 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The role of customer service in shaping consumer buying patterns among SMEs in East London

Anam Keyiya · Tshepo Tlapana

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

This study explores how customer service influences consumer buying patterns among SMEs in East London, South Africa. SMEs are crucial to the local economy, yet many face challenges in retaining customers due to inconsistent service quality and limited resources. The research examines how service factors such as staff professionalism, communication, complaint handling, and responsiveness impact customer satisfaction, loyalty, and purchasing choices. Using the SERVQUAL model, Expectancy-Disconfirmation Theory, and Relationship Marketing Theory, a quantitative, cross-sectional survey was conducted. Data from 100 consumers who recently interacted with East London’s SMEs indicate that customer service is the top factor influencing purchasing decisions, surpassing price, product quality, and convenience. Friendly, helpful staff, strong after-sales support, and effective communication are key to fostering loyalty and repeat business. Although perceptions of service quality are generally positive, 25% of respondents expressed dissatisfaction due to delays, poor communication, and a lack of product knowledge. These issues underscore the need for targeted initiatives, including staff training, digital engagement, and loyalty programs. The study highlights the growing role of digital platforms in improving service delivery, especially for younger, tech-savvy consumers. Overall, the study recommends that SMEs should focus on regular training programs centered on customer engagement, product knowledge, and complaint handling. This will enhance service consistency and professionalism, leading to higher customer satisfaction and loyalty.

DOI 10.36096/ijbes.v8i3.12370 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Drivers of customer satisfaction in the telecommunications industry of Zimbabwe: A mixed-methods study from Manicaland Province

Ruth Shiridzinodya · Dzidzai Muchakubvura · Ranzi Mazenge Rusike · Sifiso Vilakati

International Journal of Research in Business and Social Science · 2026

Read abstract

Customer service quality is still a major problem in Zimbabwe’s telecommunications sector. This study aimed to develop a framework to improve customer service in the sector. It focused on how network reliability, how quickly complaints are resolved, staff skills and empathy, and customer involvement in service improvement affect customer satisfaction. Customers often face network failures, slow responses to complaints, and poor communication with service providers. These problems reduce customer satisfaction.: The study used data collected in Manicaland Province, Zimbabwe. A convergent parallel mixed-methods approach was used. Quantitative data were collected from a random sample of 220 customers, while qualitative data were collected from 13 purposively selected participants, including managers and frontline customer service staff. Data analysis was conducted using SPSS AMOS version 23 and thematic analysis. The results showed that network reliability had a strong and positive effect on customer satisfaction. Staff competence and empathy also had a significant positive effect on customer satisfaction, showing that skilled, respectful, and caring staff improve customers’ experiences. In contrast, complaint-resolution efficiency did not have a significant effect on customer satisfaction. The analysis further showed that value co-creation partially mediated the relationship between network reliability and customer satisfaction, as well as between staff competence and customer satisfaction. The study recommended that regulators such as Postal and Telecommunications Regulatory Authority of Zimbabwe (POTRAZ) enforce service quality standards, and that policymakers support digital inclusion and innovation. The study contributes that customer satisfaction can be improved by upgrading network infrastructure, providing ongoing staff training, empowering frontline employees, and creating formal ways to engage customers.

DOI 10.20525/ijrbs.v15i4.50750 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Customer relationship management as a strategic instrument for enhancing customer retention: a case study of an ICT company in Johannesburg<b></b>

Christopher Sibisi · Veena Parboo Rawjee · Elvis Madondo · Jeevarathnam P Govender

International Journal of Research in Business and Social Science · 2026

Read abstract

In the competitive business environment, organisations are increasingly adopting Customer Relationship Management (CRM) strategies to strengthen customer retention and improve service delivery. This study explored CRM as a strategic tool for customer retention at a selected Information Communication Technology (ICT) company based in Johannesburg, South Africa. A quantitative research approach was employed, targeting 121 employees across sales, marketing, business development, logistics, and finance departments. These employees were selected due to their direct engagement with customers. Data were collected through structured online questionnaires and analysed using the Statistical Package for the Social Sciences (SPSS) version 26. Descriptive and inferential statistical techniques, including Pearson’s correlation and regression analysis, were applied to evaluate the relationship between CRM and customer retention. The findings revealed a moderate but significant positive correlation between CRM and customer retention, indicating that strategic CRM practices contribute to stronger customer loyalty. The research concludes that CRM is a critical organisational strategy that can enhance customer retention if properly integrated and supported across business functions. It recommends further investment in CRM systems, employee training, and customer engagement initiatives to sustain competitive advantage and long-term growth.

DOI 10.20525/ijrbs.v14i9.44870 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Food and service quality as drivers of customer satisfaction and behavioural intention at quick service restaurants in Tshwane Urban, South Africa

Clay Hutama Basera · Johan. W De Jager · Antonie Drotsky

International Journal of Research in Business and Social Science · 2026

Read abstract

The continued increase in food demand globally, has witnessed a corresponding growth in the fast-food restaurant business. The study of food and service quality as major drivers of customer satisfaction and behavioural intention has therefore become a strategic area of interest. This study explored how food and service quality affect customer satisfaction and behavioural intention in the context of quick-service restaurants in Tshwane City of South Africa. Guided by a positivist philosophy, the study employed a deductive approach to theory development. A cross-sectional descriptive research design was adopted and a structured survey instrument was used to collect data from 173 online participants. The results were analysed using IBM SPSS 26, and partial least squares structural equation modelling in Smart PLS 4 to test hypotheses. The findings showed that although food quality had a significant positive effect on behavioural intention, it was not a predictor of customer satisfaction. All the elements of service quality exhibited significant positive influence on satisfaction and behavioural intention. This study offers invaluable insights for managers to embrace customer-driven strategies such as offering high quality food and service because the success of culinary business revolves around achieving customer satisfaction, which is vital for creating positive behavioural intentions. Future studies can be done using relatively larger sample sizes for more generalisability in related studies or other service domains.

DOI 10.20525/ijrbs.v14i9.46340 Crossref citations0 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →