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: 17 / 17 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 — 22 Oct 2026 23:26 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.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 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 | 17 | 17 | 17/17 | 17/17 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 23 | 17 | 17/17 | 17/17 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 24 | 17 | 17/17 | 17/17 |
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 17 / 17 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): 2026-10-21T07:22:54.122466+00:00 — 2026-10-22T23:26:03.941873+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 | 17 | 17/17 |
| 2018 | All selected publications | 0 | 17 | 17/17 |
| 2019 | All selected publications | 0 | 17 | 17/17 |
| 2020 | All selected publications | 0 | 17 | 17/17 |
| 2021 | All selected publications | 0 | 17 | 17/17 |
| 2022 | All selected publications | 0 | 17 | 17/17 |
| 2023 | All selected publications | 0 | 17 | 17/17 |
| 2024 | All selected publications | 5 | 17 | 17/17 |
| 2025 | All selected publications | 11 | 17 | 17/17 |
| 2026 | All selected publications | 8 | 17 | 17/17 |
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 | 17 |
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 | 4 | 5 | 5 | 4/4 | 1.25 | 1.0 | 100.0 | 4/4 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 4 | 3 | 1/1 | 4.0 | 4 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 12 | 14 | 16 | 12/12 | 1.17 | 0.5 | 50.0 | 12/12 · 100.0% |
* Percentage among publications with a known citation count.
In Indonesia, a QR code payment is referred to as QRIS (Quick Respond Code Indonesian Standard). QR code technology is employed by QRIS, a contemporary payment system, to establish connections between a variety of financial transactions. QRIS offers numerous advantages to businesses, including the ability to obtain numerous promotions, the automated recording of transactions, the ability to track financial income and expenses, and the elimination of the need to search for change. Regrettably, the low level of digital literacy in Indonesia has prevented certain individuals from adopting digital transactions. Consequently, policymakers and regulators will be able to make more informed decisions regarding the expansion of QRIS in Indonesia by gaining a more comprehensive understanding of the perceptions of utility and perceived ease of use among Indonesian users. This research involves individuals who have implemented QRIS. The sample size in this study was sufficient due to the use of PLS-SEM, a powerful multivariate analysis technique that is recognized for its statistical efficacy in small sample sizes. The study explores the behavioral intention to use QRIS among Indonesian users, emphasizing perceived usefulness and perceived ease of use while incorporating control variables such as age, experience, gender, income, and education. The analysis results indicate that perceived usefulness has a substantial impact on the behavior intention of QRIS, and perceived ease of use also has an impact on the behavior intention of using QRIS. Education and income were found to have no significant difference in relation to behavior intention of using QRIS, whereas age, experience, gender, and age were associated with a significant difference.
The novelty and advancement of technology have explored new avenues in the education sectors. Now e-learning has blended with face-to-face learning to increase its effectiveness. An integrated model is being proposed in this study to measure the continuance usage intention of students adopting e-learning services. With the constructs of ECM (confirmation, perceived usefulness), perceived ease of use and perceived self-efficacy proposed to measure their effect on satisfaction. Besides, to explore the impact of quality features on satisfaction and continuance intention, three major determinants of D&M’s ISS model such as system quality, service quality and information quality included in this study. 410 responses collected to do quantitative analysis. The PLS-SEM analysis showed that perceived ease of use has the strongest effect on perceived usefulness, followed by perceived self-efficacy on perceived ease of use and satisfaction with continuance intention.The study reveals that challenges in developing countries are unique and drives the learners differently than developed countries. The growing e-learning industry requires widespread research from national and institutional perspectives for holistic development in the Bangladesh education market.
The adoption and use of ICT have increased drastically in developed countries, but it cannot be said that it lags in developing countries. ICT evolution has introduced e-commerce services for users, but these services fail because of low user acceptance and user attitude, especially in developing nations. The security and trustworthiness of e-commerce are known to be of the most significant concern to people intending to use e-commerce services. The study looked at the role of individual characteristics on how cyber-security and trust issues affect non-users of e-commerce systems' intention to use e-commerce systems in South Africa. The effect of cyber security on consumers’ intentions and actual use of e-commerce systems was examined. This study used a quantitative research approach. The findings revealed that perceived security and perceived trust was the primary concern for non-users of e-commerce intentions. It was shown that e-commerce system users are still concerned about security, even though they intend to continue using e-commerce systems. For the success of e-commerce in rural communities, the government needs to join with retailers and SMEs to start awareness campaigns that will clarify how e-commerce systems work and eradicate negative perceptions of e-commerce systems.
The adoption of e-procurement systems in developing countries is progressing slowly due to several challenges and barriers. Likewise, the adoption of e-procurement systems has been extensively studied, with research focusing on direct effects of factors like transparency and compatibility. This research aimed to evaluate the direct and indirect effects of relative advantage and performance expectancy on the adoption of e-procurement systems by combining components from the Technology, Organization, and Environment model with a modified Unified Theory of Acceptance and Use of Technology. This was accomplished by analyzing the function of attitude as a mediator and the legal framework as a moderator in the suggested study model. This study used a cross-sectional survey research design, together with a stratified sampling technique, to acquire a sample size of 367 respondents. The data were acquired via the distribution of questionnaires and the examination of relevant documents. The collected data underwent descriptive analysis using IBM SPSS statistics version 26, and inferential analysis was performed using PLS-SEM with the assistance of SmartPLS 4 software. The study's results validate a significant statistical moderating impact of the legal framework on the relationship between performance expectancy and attitude towards adoption of e-procurement system. On the other hand, adoption of e-procurement system is impacted by performance expectancy and relative advantage, which have both direct and indirect significances. Attitudes have a direct impact on the adoption of e-procurement system. This study proposes that future research should include respondents from several countries to improve the applicability of the suggested model.
This paper systematically reviews literature with the aim of conceptualizing a change management framework for the effective use of the Examination Administration System (EAS). Information systems (IS) change management factors in the implementation and the post-implementation phases are systematically reviewed to identify 37 reports between 2015 and 2023 and content was analyzed. Post-acceptance phase poses many challenges that often result in resistance from the user community thus relinquishing the expected gains. This paper explains change management factors in the post-implementation phase of information systems as they are not adequately addressed in existing literature. The conceptualization of the change management framework draws on the integration of the Unified Theory of Acceptance, Use of Technology and Effective Use Theory and nine change management factors as facilitating conditions. The paper concludes that effective use of EAS is realized through change management factors (i.e., user training, top management support activities, information flow, planning EAS as a change, change shared vision, performance measurement, user involvement and change recognition, user satisfaction and effective communication). This study further adds the indirect mechanisms (i.e., technology use and IS adaptive use) through which the change management factors can impact effective use. The study provides a useful guide to the practitioners and researchers to explain the change management strategies for the effective use of information systems and improve it. This paper also proposes that future studies adapt and/or empirically test conceptual change management apparatus for effective use to ascertain its validity within various contexts.
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.
In Indonesia, a QR code payment is referred to as QRIS (Quick Respond Code Indonesian Standard). QR code technology is employed by QRIS, a contemporary payment system, to establish connections between a variety of financial transactions. QRIS offers numerous advantages to businesses, including the ability to obtain numerous promotions, the automated recording of transactions, the ability to track financial income and expenses, and the elimination of the need to search for change. Regrettably, the low level of digital literacy in Indonesia has prevented certain individuals from adopting digital transactions. Consequently, policymakers and regulators will be able to make more informed decisions regarding the expansion of QRIS in Indonesia by gaining a more comprehensive understanding of the perceptions of utility and perceived ease of use among Indonesian users. This research involves individuals who have implemented QRIS. The sample size in this study was sufficient due to the use of PLS-SEM, a powerful multivariate analysis technique that is recognized for its statistical efficacy in small sample sizes. The study explores the behavioral intention to use QRIS among Indonesian users, emphasizing perceived usefulness and perceived ease of use while incorporating control variables such as age, experience, gender, income, and education. The analysis results indicate that perceived usefulness has a substantial impact on the behavior intention of QRIS, and perceived ease of use also has an impact on the behavior intention of using QRIS. Education and income were found to have no significant difference in relation to behavior intention of using QRIS, whereas age, experience, gender, and age were associated with a significant difference.
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.
This study examines the relationship between technical readiness (TR) and the Unified Theory of Acceptance and Use of Technology (UTAUT) within the framework of Over-the-Top (OTT) media services, particularly Netflix. The study employs the UTAUT model and integrates the TR model's external factors of "optimism," "innovativeness," "inadaptability," and "insecurity" to examine their moderating influences on customer utilisation of Netflix. In 2024, 475 questionnaires were disseminated in this study, of which 453 were considered valid. The study revealed that customer trust in relationships significantly influences user involvement in 'Performance Expectancy' (PE), 'Effort Expectancy' (EE), 'Social Influence' (SI), and 'Facilitating Conditions' (FC). Furthermore, consumers' intention to interact with Netflix's 'Performance Expectancy' (PE), 'Effort Expectancy' (EE), and 'Social Influence' (SI) considerably and positively affects their behaviour. The research employed hierarchical regression analysis to assess the impact of customer willingness to "Intention to Use" on the UTAUT regarding Netflix consumption. The findings indicate that the Trustworthiness Rating of consumers substantially affects the UTAUT dimensions of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Moreover, consumers' inclination to use Netflix is positively influenced by the constructs of Performance Expectancy, Effort Expectancy, and Social Influence. The results demonstrate that consumers' Trustworthiness Rating substantially influences the UTAUT aspects of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Moreover, the constructs of performance expectancy, effort expectancy, and social influence positively affect customers' inclination to utilise Netflix. The results of this study may inform strategic approaches to improve user engagement and satisfaction in the competitive OTT market.
The adoption and use of ICT have increased drastically in developed countries, but it cannot be said that it lags in developing countries. ICT evolution has introduced e-commerce services for users, but these services fail because of low user acceptance and user attitude, especially in developing nations. The security and trustworthiness of e-commerce are known to be of the most significant concern to people intending to use e-commerce services. The study looked at the role of individual characteristics on how cyber-security and trust issues affect non-users of e-commerce systems' intention to use e-commerce systems in South Africa. The effect of cyber security on consumers’ intentions and actual use of e-commerce systems was examined. This study used a quantitative research approach. The findings revealed that perceived security and perceived trust was the primary concern for non-users of e-commerce intentions. It was shown that e-commerce system users are still concerned about security, even though they intend to continue using e-commerce systems. For the success of e-commerce in rural communities, the government needs to join with retailers and SMEs to start awareness campaigns that will clarify how e-commerce systems work and eradicate negative perceptions of e-commerce systems.
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 |