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: 7 / 7 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 — 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.
6 / 7 with data · 1 missing or unmatched. Percentages use all 7 selected publications.
6 / 7 with data · 1 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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): 2026-10-21T07:22:44.522050+00:00 — 2026-10-21T07:23:05.879192+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 1 | 7 | 7/7 |
| 2023 | All selected publications | 1 | 7 | 7/7 |
| 2024 | All selected publications | 2 | 7 | 7/7 |
| 2025 | All selected publications | 7 | 7 | 7/7 |
| 2026 | All selected publications | 4 | 7 | 7/7 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2022 | 1 |
| 2023 | 2 |
| 2024 | 2 |
| 2025 | 1 |
| 2026 | 1 |
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 | 7 | 11 | 15 | 7/7 | 1.57 | 1 | 71.4 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
The primary goal of this study was to examine the role of reskilling programmes on digital transformation at a Large Financial Services Organisation. The business climate and the world of work are going through an unprecedented large-scale transition - such as the transition from the agricultural economy to the industrial revolution. The era of digitisation, automation and acceleration is upon us. The society is in an economy where new critical skills have emerged and these new emerging skills have become necessary for individuals, businesses, and the economy to succeed. However, very little research has been done on the role of reskilling programmes on the digital transformation at a Large Financial Services Organisation. The study employed quantitative research and a structured closed questionnaire was used to collect field data from a selected sample of 88 respondents drawn from a target population in the study area. The field data were analysed using the Statistical Package for Social Sciences (SPSS), version 29. Statistical tools, including frequency tables, pie charts, and graphs, were used to analyse data. The study findings indicate that jobs have been significantly affected by digital transformation and new emerging job functions in large financial services organisations. A digital transformation programme had a direct relationship with the implementation of reskilling programmes. The study recommended that designing technology-focused training programmes appropriately and selecting or creating technology-focused training programmes with essential elements are necessary for successful outcomes.
The digital age has changed the way businesses operate creating uncertainty; therefore, the right kind of leader needs to step in to steer the organization during this digital disruption. The objective of this study is to examine the influence of four (4) transformational leadership traits on Indonesian employees’ digital maturity. Using a quantitative approach, data was collected through online questionnaires spread to 203 IT managers who work in food and beverage, and automotive manufacturing in Indonesia. Descriptive statistics and multiple regression analysis were used to analyze the data. The result of this study shows that idealized influence and inspirational motivation have a positive influence on digital maturity, while individualized consideration and intellectual stimulation have no significant influence on digital maturity despite the latter being perceived as the most important transformational leadership trait to support digital maturity. The study that all four leadership traits have simultaneously influence 44.6% of digital maturity in food and beverage, and automotive manufacturing. Transformative leaders provide the right leadership in transforming the organization to be digitally mature through vision, adaptive culture, and motives for growth and development.
Digital transformation destination is much easier when a clear vision is communicated up and down the organization. This study seeks to explore the effect of visioning on digital transformation in the insurance industry. The study used a positivist research philosophy and a quantitative research approach. The research used primary data, which was collected using a questionnaire. Data analysis was done using regression analysis, descriptive statistics and paired sample t-tests. Normality and reliability were tested using the Shapiro-Wilk test and Cronbach’s alpha, respectively. The study findings revealed that visioning significantly influences digital transformation (t=1.129, p=0.000<0.05). Visioning is the art of modeling an organization's culture and is the critical variable towards digital transformation. The study recommends the regulator, the Insurance and Pension Commission, might need to enforce digital transformation within the insurance space. Visioning is critical in the insurance sector’s digital transformation process.
The efficacy of organisational effectiveness during the Fourth Industrial Revolution may have been hindered by prevailing leadership styles and management practices. Hence, it has been proposed that other theories, models, or approaches to leadership will be necessary for organisations to maintain competitiveness and achieve long-term success in a business environment that deviates dramatically from the norm for leaders. This essay posits that the application of Leadership 4.0 and novel management practices may hold significance within this particular context. This study investigated the influence of leadership 4.0 and modern management on the success of organisations during the Fourth Industrial Revolution (4IR). Qualitative research methodologies were employed to conduct desk research and obtain the findings. There exists a positive association between Leadership 4.0, creative management methods, and organisational performance capabilities. Numerous scholarly and practical deliberations have substantiated the significance of leadership, specifically Leadership 4.0, in effectively navigating the complexities and challenges posed by the Fourth Industrial Revolution (4IR). Furthermore, supplementary evidence was identified to substantiate theories pertaining to dependent leadership. The findings of this study have practical implications for companies as they validate the existing literature that highlights the crucial role of leadership in organisational performance, particularly for survival and long-term viability in the contemporary business landscape (4IR). The findings make a valuable contribution to the growing body of knowledge in the domains of Fourth Industrial Revolution (4IR), leadership, creative management techniques, and research on organisational performance.
The digital transformation in business schools during the COVID-19 pandemic is unique since external factors, not internal initiatives, drive it. This event is called 'forced digital transformation.' It raises new challenges for business schools to ensure that the transformation continues in the future since the post-pandemic situation has encouraged social and economic activities to return offline. As the situation begins normal, less external pressure can result in declining creative initiatives from business schools to explore more opportunities from digital technologies. Consequently, the digital transformation process that started during the pandemic could stagnate. One of the essential factors that play a role in encouraging continuous digital transformation is leadership. Leadership is believed to be the core of every digital innovation process. However, research investigating the role of leadership in business schools' digital transformation during the COVID-19 pandemic is still limited. Therefore, this study aims to describe leadership's role in structural and behavioral changes during forced digital transformation in business schools by applying a systematic literature review.
Rail is one of the most efficient forms of transport in the whole world for both passengers and freight. Although the sector is thriving in the developed world, the same cannot be said of the sector in less developed countries where it is burdened by the ageing infrastructure, financial constraints, operational inefficiencies and environmental concerns. However, the digital workplace can be a panacea to the above predicaments. As such, the study sought to assess the influence of the digital workplace on organisational development in the railway industry, moderated by digital leadership and psychological safety. Guided by the positivism research philosophy and the deductive approach, the study adopted a quantitative research design where a survey was utilised to collect primary data from 194 participants working in the railway industry in Bulawayo, Matabeleland North and Matabeleland South provinces.The study found that digital workplace has a positive impact on organisational development. It was concluded that digital workplace, digital leadership and psychological safety are important in improving organisational development. There is need to invest in robust digital infrastructure which prioritises the rollout of secure and high speed digital communication platforms across all railway stations and operational points to ensure real-time information sharing.
This study focuses on digital leadership in improving the digital skills of creative economy workers in Depok City through the mediation role of digital collaboration and individual innovative capabilities as moderation. The purpose of this study is to analyze the influence of digital leadership on the digital skills of creative economy workers both directly and indirectly through the mediation of digital collaboration and the moderating role of individual innovative capabilities. The object of this study is the creative economy workers in Depok City. The sampling technique uses probability sampling with proportionate random sampling technique. The sample in this study was 204 people based on calculations with the Slovin formula. The analysis method used is descriptive analysis with SPSS 29.0, Partial Least Square (PLS) using the smartPLS 3 software application, and the Sobel test. The results of the study show that digital leadership has a significant effect on the digital skills of creative economy workers, mediation testing shows that digital collaboration partially mediates the influence of digital leadership on digital skills. Meanwhile, Individual innovative capabilities do not moderate the influence of digital leadership and digital collaboration on digital skills.
The primary goal of this study was to examine the role of reskilling programmes on digital transformation at a Large Financial Services Organisation. The business climate and the world of work are going through an unprecedented large-scale transition - such as the transition from the agricultural economy to the industrial revolution. The era of digitisation, automation and acceleration is upon us. The society is in an economy where new critical skills have emerged and these new emerging skills have become necessary for individuals, businesses, and the economy to succeed. However, very little research has been done on the role of reskilling programmes on the digital transformation at a Large Financial Services Organisation. The study employed quantitative research and a structured closed questionnaire was used to collect field data from a selected sample of 88 respondents drawn from a target population in the study area. The field data were analysed using the Statistical Package for Social Sciences (SPSS), version 29. Statistical tools, including frequency tables, pie charts, and graphs, were used to analyse data. The study findings indicate that jobs have been significantly affected by digital transformation and new emerging job functions in large financial services organisations. A digital transformation programme had a direct relationship with the implementation of reskilling programmes. The study recommended that designing technology-focused training programmes appropriately and selecting or creating technology-focused training programmes with essential elements are necessary for successful outcomes.
The efficacy of organisational effectiveness during the Fourth Industrial Revolution may have been hindered by prevailing leadership styles and management practices. Hence, it has been proposed that other theories, models, or approaches to leadership will be necessary for organisations to maintain competitiveness and achieve long-term success in a business environment that deviates dramatically from the norm for leaders. This essay posits that the application of Leadership 4.0 and novel management practices may hold significance within this particular context. This study investigated the influence of leadership 4.0 and modern management on the success of organisations during the Fourth Industrial Revolution (4IR). Qualitative research methodologies were employed to conduct desk research and obtain the findings. There exists a positive association between Leadership 4.0, creative management methods, and organisational performance capabilities. Numerous scholarly and practical deliberations have substantiated the significance of leadership, specifically Leadership 4.0, in effectively navigating the complexities and challenges posed by the Fourth Industrial Revolution (4IR). Furthermore, supplementary evidence was identified to substantiate theories pertaining to dependent leadership. The findings of this study have practical implications for companies as they validate the existing literature that highlights the crucial role of leadership in organisational performance, particularly for survival and long-term viability in the contemporary business landscape (4IR). The findings make a valuable contribution to the growing body of knowledge in the domains of Fourth Industrial Revolution (4IR), leadership, creative management techniques, and research on organisational performance.
The digital transformation in business schools during the COVID-19 pandemic is unique since external factors, not internal initiatives, drive it. This event is called 'forced digital transformation.' It raises new challenges for business schools to ensure that the transformation continues in the future since the post-pandemic situation has encouraged social and economic activities to return offline. As the situation begins normal, less external pressure can result in declining creative initiatives from business schools to explore more opportunities from digital technologies. Consequently, the digital transformation process that started during the pandemic could stagnate. One of the essential factors that play a role in encouraging continuous digital transformation is leadership. Leadership is believed to be the core of every digital innovation process. However, research investigating the role of leadership in business schools' digital transformation during the COVID-19 pandemic is still limited. Therefore, this study aims to describe leadership's role in structural and behavioral changes during forced digital transformation in business schools by applying a systematic literature review.
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 |