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 07:23 UTC — 21 Oct 2026 07:23 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | 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 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): 2026-10-21T07:23:03.289123+00:00 — 2026-10-21T07:23:04.016152+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 | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2025 | 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 Research in Business and Social Science SSBFNET | 3 | 0 | 0 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
Significant reputational and operational risks to organisations are mostly caused by cyberattacks, such as ransomware and data breaches, making effective communication key. The study seeks to answer the following research questions: 1) What challenges are encountered during cyber crisis communication, and 2) which crisis communication strategies are most effectively used by organisations during cyberattacks, and how they align with SCCT? The study was qualitative in nature, using existing literature and case studies of prominent cyberattacks that happened globally in 2020, where cyberattacks were at their peak due to the work-from-home setup. The study applied Situational Crisis Communication Theory (SCCT) to guide the research. Findings highlight key challenges in crisis communication, such as balancing transparency with confidentiality, countering misinformation, ensuring timely communication when the organisation is under pressure and reaching marginalised populations. Regarding research question two, the findings identified five key themes: transparency spectrum, timeliness and proactiveness, channel usage, message focus and the COVID-19 context. To enforce effective communication during cyberattacks, organisations must develop pre-approved communication toolkits, use internal decision processes to balance risk and openness, conduct vulnerability-sensitive communication planning and Audits and Regulatory Compliance.
The rapid growth of the digital information ecosystem, characterized by cross-channel conversations, the spread of misinformation, and the increasing vulnerability of corporate reputation, highlights the urgency of developing strategic communication systems powered by data and artificial intelligence for early detection and crisis mitigation. This study therefore focuses on examining the role and effectiveness of the Digital Engagement Center (DEC) at PT United Tractors Tbk (UT), while also exploring the experiences, practices, and perceptions of communication and management practitioners regarding its use in strategic decision-making. Although the literature on media monitoring, AI-driven communication, and early warning systems is extensive, research on their application in the form of an integrated system such as DEC remains limited, particularly in developing countries like Indonesia. This makes the study relevant in addressing this gap and providing both theoretical and practical contributions. In the employing qualitative intrinsic case study design, data were collected through interviews, observations, and document analysis, and analyzed using thematic analysis. The findings indicate that DEC is an effective AI-enabled early warning system for real-time analysis, classification, and prediction of issues while requiring validation by a human for shifting communication toward a proactive rather than reactive model. Effectiveness is further evidenced by early detection of issues such as the internal PPE case, whereby supported automated notifications, monthly sentiment reports, and the AMEC model underscore the significance of timely imports, interpretation, and support within the organization. Moreover, DEC serves as a strategic instrument for leaders and communication practitioners to design narratives, strategies, and data-driven policies through its interactive dashboard and escalation SOPs, thereby strengthening public trust and fostering a more adaptive and collaborative organizational communication culture.
As a crisis communication strategy, silence has received scant scholarly attention. This study, guided by an expanded version of the Image Repair Theory, where silence is a sixth strategy—alongside denial, evasion of responsibility, reducing offensiveness, corrective action and mortification—draws on semi-structured interviews with 12 South African public relations (PR) consultants—explores the consultants’ perception of this long-neglected crisis communication strategy. The findings demonstrate that crisis-affected organisations frequently apply silence to buy time for legal consultations, fact verification and internal messaging alignment. However, when used to avoid stakeholders or hide the unfolding crisis from them, it is reputationally risky. The study introduces the “Three-Clock Model”, comprising legal, organisational and media timelines, which, when aligned, enhance credibility and reputation. Theoretically, the study is an addition to the burgeoning body of work reconceptualising silence as a deliberate rhetorical strategy. Empirically, it enriches the under-developed literature on strategic silence and PR consulting.
Significant reputational and operational risks to organisations are mostly caused by cyberattacks, such as ransomware and data breaches, making effective communication key. The study seeks to answer the following research questions: 1) What challenges are encountered during cyber crisis communication, and 2) which crisis communication strategies are most effectively used by organisations during cyberattacks, and how they align with SCCT? The study was qualitative in nature, using existing literature and case studies of prominent cyberattacks that happened globally in 2020, where cyberattacks were at their peak due to the work-from-home setup. The study applied Situational Crisis Communication Theory (SCCT) to guide the research. Findings highlight key challenges in crisis communication, such as balancing transparency with confidentiality, countering misinformation, ensuring timely communication when the organisation is under pressure and reaching marginalised populations. Regarding research question two, the findings identified five key themes: transparency spectrum, timeliness and proactiveness, channel usage, message focus and the COVID-19 context. To enforce effective communication during cyberattacks, organisations must develop pre-approved communication toolkits, use internal decision processes to balance risk and openness, conduct vulnerability-sensitive communication planning and Audits and Regulatory Compliance.
The rapid growth of the digital information ecosystem, characterized by cross-channel conversations, the spread of misinformation, and the increasing vulnerability of corporate reputation, highlights the urgency of developing strategic communication systems powered by data and artificial intelligence for early detection and crisis mitigation. This study therefore focuses on examining the role and effectiveness of the Digital Engagement Center (DEC) at PT United Tractors Tbk (UT), while also exploring the experiences, practices, and perceptions of communication and management practitioners regarding its use in strategic decision-making. Although the literature on media monitoring, AI-driven communication, and early warning systems is extensive, research on their application in the form of an integrated system such as DEC remains limited, particularly in developing countries like Indonesia. This makes the study relevant in addressing this gap and providing both theoretical and practical contributions. In the employing qualitative intrinsic case study design, data were collected through interviews, observations, and document analysis, and analyzed using thematic analysis. The findings indicate that DEC is an effective AI-enabled early warning system for real-time analysis, classification, and prediction of issues while requiring validation by a human for shifting communication toward a proactive rather than reactive model. Effectiveness is further evidenced by early detection of issues such as the internal PPE case, whereby supported automated notifications, monthly sentiment reports, and the AMEC model underscore the significance of timely imports, interpretation, and support within the organization. Moreover, DEC serves as a strategic instrument for leaders and communication practitioners to design narratives, strategies, and data-driven policies through its interactive dashboard and escalation SOPs, thereby strengthening public trust and fostering a more adaptive and collaborative organizational communication culture.
As a crisis communication strategy, silence has received scant scholarly attention. This study, guided by an expanded version of the Image Repair Theory, where silence is a sixth strategy—alongside denial, evasion of responsibility, reducing offensiveness, corrective action and mortification—draws on semi-structured interviews with 12 South African public relations (PR) consultants—explores the consultants’ perception of this long-neglected crisis communication strategy. The findings demonstrate that crisis-affected organisations frequently apply silence to buy time for legal consultations, fact verification and internal messaging alignment. However, when used to avoid stakeholders or hide the unfolding crisis from them, it is reputationally risky. The study introduces the “Three-Clock Model”, comprising legal, organisational and media timelines, which, when aligned, enhance credibility and reputation. Theoretically, the study is an addition to the burgeoning body of work reconceptualising silence as a deliberate rhetorical strategy. Empirically, it enriches the under-developed literature on strategic silence and PR consulting.
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 |