Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:14 UTC — 21 Oct 2026 00:49 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 3 / 3 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T00:14:29.396374+00:00 — 2026-10-21T00:49:36.972743+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 1 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 1 | 3 | 3/3 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2021 | 1 |
| 2024 | 2 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 2 | 1 | 1 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 1 | 2 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
The internet and online space have created numerous platforms for users to communicate and interact, where each platform provides access to different sources of information. The purpose of the study was to investigate the online ideal self and its influence on brand attitude and attachment towards consumer purchase intention. A unique conceptual model was developed to test the proposed hypotheses of the study. Social media is one of the leading communication platforms that have emerged in the online space. Social media allows consumers and brands to interact in an informal manner from anywhere in the world. The study adopted a quantitative approach utilizing the survey method. Data was collected from 300 consumers. The data was then processed in SPSS 24 for descriptive statistics and AMOS 24 for hypotheses testing. A key finding suggests that social media consumers’ attachment is considerably dependent on their attitudes towards those brands. Brands can use social media to receive real-time feedback from customers as well as track this feedback. Implications emerged from the findings and further research direction is proposed.
This paper explored factors for infusing change management practices in the public sector and gave recommendations for policy execution of technology. The Western Cape Department of Community Safety (DoCS) launched the Expanded Partnership Programme (EPP) in 2010, as provided for in section 206 of the Constitution to reorient social crime prevention by Community Policing Forums Educate and Share towards Monitoring Guided Actions to increase sustainability, the efficiency of Community Police Forums (CPFs), and the accountability of the police. Even with an investment of R18 million, participation levels were still low and there was no service delivery improvement by the police, thus the need for a change management was borne. The study pointed out the need of strategic methods such as Kotter’s 8-Step Process, Prosci ADKAR, and McKinsey Influence Model to implement institutionalised changes. The research pursued a practical stance and therefore merged objectivist and constructivist positions with an abductive approach. Count data were collected through the use of a Likert scale questionnaire since it was quantitative in nature while qualitative data was obtained from semi-structured focus group discussions. Data analysis was performed using qualitative and quantitative methods such as descriptive statistics, Pearson’s Chi-square, and content analysis, among others. The research findings highlighted key factors such as organizational culture, interests of stakeholders, politics, resources, and the external environment a determinants of change management. The creation of detailed guidelines that are supported by evidence to direct decision making, resource allocation and prioritisation of policies by the government was advocated for in the study. These findings closed the loop between the research academic domain and the practical field, and demonstrated clear steps towards improving accountability, transparency and adequacy of change implementation.
The aim of this paper is to explore how the cognitive elements of social identity within informal structures influence employees' perceptions and, in turn, impact corporate strategy. This study proposes a framework for managing such informal structures relevant to both theory and practice by employing a social identity theoretical framework. The research examines the impact of informal structures on corporate strategy within the context of a case study involving a South African mining company. The paper establishes that norms, values, and thought processes toward corporate strategy are informally shaped by social identity groups. It suggests that in future research, employing an alternative theoretical framework could serve to establish the reproducibility of the results. Furthermore, a shift towards quantitative research methods would enhance the comprehensiveness of validity testing through methodological triangulation. The proposed framework offers a comprehensive theoretical perspective that contextualizes the interaction between cognitive components of social identity and corporate strategy. It illustrates how aligning personal goals with corporate objectives, maintaining consistent communication, implementing fair employee recognition practices, and equitably sharing resources can mitigate opposition from social identity groups toward corporate strategy. The research presents a pioneering case study of a mining company that employs social identity theory to delineate the informal structure and ascertain how social identity elements influence corporate strategy.
This paper explored factors for infusing change management practices in the public sector and gave recommendations for policy execution of technology. The Western Cape Department of Community Safety (DoCS) launched the Expanded Partnership Programme (EPP) in 2010, as provided for in section 206 of the Constitution to reorient social crime prevention by Community Policing Forums Educate and Share towards Monitoring Guided Actions to increase sustainability, the efficiency of Community Police Forums (CPFs), and the accountability of the police. Even with an investment of R18 million, participation levels were still low and there was no service delivery improvement by the police, thus the need for a change management was borne. The study pointed out the need of strategic methods such as Kotter’s 8-Step Process, Prosci ADKAR, and McKinsey Influence Model to implement institutionalised changes. The research pursued a practical stance and therefore merged objectivist and constructivist positions with an abductive approach. Count data were collected through the use of a Likert scale questionnaire since it was quantitative in nature while qualitative data was obtained from semi-structured focus group discussions. Data analysis was performed using qualitative and quantitative methods such as descriptive statistics, Pearson’s Chi-square, and content analysis, among others. The research findings highlighted key factors such as organizational culture, interests of stakeholders, politics, resources, and the external environment a determinants of change management. The creation of detailed guidelines that are supported by evidence to direct decision making, resource allocation and prioritisation of policies by the government was advocated for in the study. These findings closed the loop between the research academic domain and the practical field, and demonstrated clear steps towards improving accountability, transparency and adequacy of change implementation.
The aim of this paper is to explore how the cognitive elements of social identity within informal structures influence employees' perceptions and, in turn, impact corporate strategy. This study proposes a framework for managing such informal structures relevant to both theory and practice by employing a social identity theoretical framework. The research examines the impact of informal structures on corporate strategy within the context of a case study involving a South African mining company. The paper establishes that norms, values, and thought processes toward corporate strategy are informally shaped by social identity groups. It suggests that in future research, employing an alternative theoretical framework could serve to establish the reproducibility of the results. Furthermore, a shift towards quantitative research methods would enhance the comprehensiveness of validity testing through methodological triangulation. The proposed framework offers a comprehensive theoretical perspective that contextualizes the interaction between cognitive components of social identity and corporate strategy. It illustrates how aligning personal goals with corporate objectives, maintaining consistent communication, implementing fair employee recognition practices, and equitably sharing resources can mitigate opposition from social identity groups toward corporate strategy. The research presents a pioneering case study of a mining company that employs social identity theory to delineate the informal structure and ascertain how social identity elements influence corporate strategy.
The internet and online space have created numerous platforms for users to communicate and interact, where each platform provides access to different sources of information. The purpose of the study was to investigate the online ideal self and its influence on brand attitude and attachment towards consumer purchase intention. A unique conceptual model was developed to test the proposed hypotheses of the study. Social media is one of the leading communication platforms that have emerged in the online space. Social media allows consumers and brands to interact in an informal manner from anywhere in the world. The study adopted a quantitative approach utilizing the survey method. Data was collected from 300 consumers. The data was then processed in SPSS 24 for descriptive statistics and AMOS 24 for hypotheses testing. A key finding suggests that social media consumers’ attachment is considerably dependent on their attitudes towards those brands. Brands can use social media to receive real-time feedback from customers as well as track this feedback. Implications emerged from the findings and further research direction is proposed.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |