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, 00:14 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:14 UTC — 22 Oct 2026 02:43 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.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 12 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 3 | 3/3 | 3/3 |
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): 2026-10-21T00:14:28.495167+00:00 — 2026-10-22T02:43:14.591736+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 | 4 | 10 | 10/10 |
| 2024 | All selected publications | 5 | 10 | 10/10 |
| 2025 | All selected publications | 6 | 10 | 10/10 |
| 2026 | All selected publications | 5 | 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 |
|---|---|
| 2022 | 2 |
| 2023 | 3 |
| 2024 | 2 |
| 2026 | 3 |
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 | 10 | 15 | 20 | 10/10 | 1.5 | 0.0 | 40.0 | 10/10 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this study is to explain and analyze the effect of the e-servicescape dimension on perceived value and loyalty to e-commerce sites in Indonesia. The sampling technique used a non-probability sampling technique with a sample of 195 respondents who had shopped at e-commerce more than three times. Data collection is done by spreading the distribution through WhatsApp, Instagram, and Facebook. The research variables consist of aesthetic appeal, layout & functionality, and financial security as independent variables, perceived value as a mediator, and attitude and behavior loyalty variables as dependent variables. The study used AMOS 24 to analyze the data. The results of the study show that the three independent variables are only layout & functionality that have a positive and significant effect on consumers' perceived value perceptions, while the variables of aesthetic appeal and financial security harm perceived value. Furthermore, the perceived value variable has a positive and significant effect on attitude and behavior loyalty as well as attitude loyalty has a significant positive effect on behavioral loyalty. The implication of this research is to add literature and insight for e-commerce players in Indonesia to increase the aesthetic appeal of online stores and financial security so that consumers are loyal in attitude and behavior and that practices that can harm consumers and negatively impact e-commerce players do not occur. Research needs to do further research on the same object but with different results or different objects, such as electronic products or e-commerce bills.
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.
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.
In this study, the impact of technology is especially examined as a factor in the determination of customer perceived value and satisfaction in the professional business-to-business services of the general insurance industry. Five hundred forty-seven relevant responses from randomly chosen Vietnamese consumers who bought insurance products were acquired using both a hypothetical-deductive method and an inductive technique employing structured questionnaires. The regression study shows that while technology and technical abilities are judged to be unimportant, risk coverage, reputation, reliability, and premium positively influence consumers' opinions of value toward insurance firms. As technology cannot replace the relationships developed with service professionals, organizational consumers do not view technology as a deciding factor when choosing insurance, so avoiding favoring technology over human interaction is imperative. This warning could impact people's views, quality of life, and society. The performance of service workers should be improved through soft HRM techniques in the future, and marketers and politicians should prioritize reputation-building initiatives and training in interpersonal communication. Future research on insurance purchase behavior in business-to-business settings, particularly in developing economies, can use the proposed model as a guide. Additionally, by concentrating on the most advantageous aspects of resource allocation, this framework provides invaluable insights for firms looking to create or strengthen their competitive advantage.
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.
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.
Customer satisfaction is a key driver of competitive advantage in the automobile industry. Understanding how customer support influences perceived service quality becomes increasingly important as service expectations rise. This study investigates the role of customer support in shaping service quality perceptions and its impact on overall satisfaction. A quantitative survey of 504 customers across various industries assessed perceptions of service quality, support effectiveness, and satisfaction levels. Results show that customer support significantly strengthens the relationship between service quality and satisfaction. Customers receiving higher levels of support reported greater satisfaction. These findings highlight the need for organisations to deliver high-quality services and invest in robust support systems. The study offers empirical evidence and practical insights for adopting a customer-centric approach to enhance loyalty and sustain market competitiveness.
The retail sector plays a crucial role in the global economy, and its competitiveness largely depends on the quality of services provided to customers. This paper aims to investigate the effects of human capital development practices on service quality, customer satisfaction, and overall business competitiveness in the retail industry. To achieve this objective, the study adopted a quantitative research design with an interpretive paradigm. A sample of 180 participants was randomly selected from the selected retail stores in the Eastern Cape, South Africa. The study employed a structured questionnaire to collect data on human capital development, service quality, customer satisfaction, and business competitiveness. The data analysis began with data cleansing and coding in Microsoft Excel, followed by SmartPLS. The findings of the study revealed that investments in human capital development, such as employee training, refresher workshops, and professional development, have a positive impact on the quality of services provided by retail organisations. Improved service quality, in turn, leads to higher levels of customer satisfaction, which is a key driver of customer loyalty and business competitiveness. Furthermore, the study revealed that the enhanced service quality and customer satisfaction resulting from human capital development contribute to the overall competitiveness of retail businesses. The study recommends that the retail industry invest in training and development initiatives, particularly soft skills. Implementing automated machines to improve service quality and high production requires a well-trained workforce.
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.
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.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |