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: 14 / 14 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 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.
13 / 14 with data · 1 missing or unmatched. Percentages use all 14 selected publications.
13 / 14 with data · 1 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 15 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 6 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 23 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 36 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 12 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2026 | All selected publications | 0 | 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 14 / 14 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): 2026-10-21T00:14:26.936238+00:00 — 2026-10-21T07:23:06.678385+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 | 14 | 14/14 |
| 2018 | All selected publications | 0 | 14 | 14/14 |
| 2019 | All selected publications | 0 | 14 | 14/14 |
| 2020 | All selected publications | 3 | 14 | 14/14 |
| 2021 | All selected publications | 6 | 14 | 14/14 |
| 2022 | All selected publications | 10 | 14 | 14/14 |
| 2023 | All selected publications | 20 | 14 | 14/14 |
| 2024 | All selected publications | 17 | 14 | 14/14 |
| 2025 | All selected publications | 12 | 14 | 14/14 |
| 2026 | All selected publications | 12 | 14 | 14/14 |
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 |
|---|---|
| 2016 | 2 |
| 2019 | 2 |
| 2020 | 1 |
| 2021 | 2 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 2 |
| 2026 | 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 | 3 | 4 | 2/2 | 1.5 | 1.5 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 12 | 35 | 77 | 12/12 | 2.92 | 2.0 | 66.7 | 12/12 · 100.0% |
* Percentage among publications with a known citation count.
This systematic literature review is aimed at determining the predominance of existing studies conducted in HRIS as it relates to HRM, HRH, workforce management and the use of Information Systems (IS) and technology within the health sector. The main findings of the study demonstrate that HRIS benefits are the most researched at 11.8% with a) impact: implementation and IS in healthcare:10.5%; b) effectiveness: motivation, competence, workforce IS and adoption: 9.2%; c) workforce retention and migration: 7.9% d) HRIS and EHRM for decisions 5.3%, e) HRIS in HRM and digital records 2.6%; f) IT in the healthcare setting standing at 1.3%.
Information technology (IT) as a structural factor and instrument transforms the architecture of organizations, business processes, and communication which is increasingly integrated into human resource management (HRM). It is an important part of the human resources work process. IT is designed to support HR professionals at all stages of management. This paper is focused on analyzing how information technology affects the improvement of human resource efficiency. The survey was conducted in private enterprises in Ferizaj, region (Kosovo), through questionnaires. Twenty employees/managers of manufacturing enterprises were surveyed who were well informed about the role of human resources in general and the impact on the efficiency of information technology. The results of the empirical study show that the use of new information technology improves the efficiency of HR and enhances the performance of the enterprise.
The aim of this study is to find out what factors can increase employer branding and job pursuit intentions from one of the banks in Indonesia. The data in this study were distributed to 114 respondents and evaluated using the PLS-SEM analysis technique. This study found no effect between product brand and job pursuit intention, but this effect changed when using employer branding. Meanwhile, the corporate brand was found to affect job pursuit intention either through employer branding or not. This study proposes developing a model by incorporating TPB theory into the previous framework. The findings of this study reveal that individual control can determine job pursuit intention. We make several contributions, such as (1.) Re-examining the inconsistency of findings from previous studies; (2.) Development of the initial research framework by adding individual control factors (subjective norms and perceived behavioral control), which we adapted from the TPB theory; (3.) We map out how the three communication channel functions (HR Internal Communication, Corporate Communication, and Marketing Communication) can collaborate for the company to get employees with high skills to continue to innovate and become the best workplace. For this reason, this research will provide practical and academic contributions that can be used as a reference for Bank management and further research.
No organisation is ever static. For several reasons, each organisation reviews its aims and objectives from time to time. These reasons may be internally or externally driven. They could also be politically, economically and or socially motivated. Research has established that most of the attempts at bringing about change are based on the needs of employees and customers. Essentially, for the purposes of better management of employees and customers, human resource information systems (HRIS) are touted as the panacea for effective and efficient health sector service delivery. Focusing on South Africa, this paper used the descriptive literature review method to determine HRIS adoption issues within the health sector of South Africa. As an important sector in any growing economy, the health sector in our view benefits from a constant review of its mission. Within the context of South Africa, substantial emphasis is yet to be placed on health sector effectiveness. Elsewhere, in other regions and continents, research on HRIS adoption within the health sector suggests that its adoption is problematic but useful. The South African health sector is yet to fully embrace this technology and as a result is suffering from employee dissatisfaction, brain drain, and general maladministration. Investment in HRIS research is therefore instructive especially within the context of South Africa. What we have found through this review is that investing in HRIS is crucial; however, it requires thorough consideration for its funding, infrastructural support, and skilled manpower among others.
Employer branding is an important issue that businesses cannot neglect, as it is the process of creating a brand for employees and potential candidates. Especially with the development of technology, it has become easier to reach many resources. However, it has always been more difficult to reach talented human resources. At this point, discovering, attracting, and working with talented employees for a long time has attributed a key role to the employer brand. In this direction, the aim of the study is to investigate the roles of employer branding practices in attracting talents to the company in job applications. Content analysis, which is a qualitative analysis method, was used in the study. Maxqda 20 software program was used to access the findings of this analysis. In the research findings, it was seen that concepts such as reputation, communication, awareness, and the concept of Employer Brand were used together intensively. As a result of the research; It has been understood that businesses that want to attract talented employees to the company use the employer brand and communicate effectively with the external environment. It has been seen that this interaction supports the corporate reputation and this has played an important role in increasing the awareness of the company and in the preference and reliability
The National School Nutrition Programme (NSNP) is one of the food security programmes of the South African government that strives to provide proper nutrition meals to all public primary and secondary school learners nationwide. To implement the programme, NSNP hires food handlers to prepare and deliver meals to students on a daily basis. However, in terms of public sector human resource management, it is unclear how these food handlers are recruited and hired into the programme. This paper aimed at assessing the recruitment practices of food handlers into the NSNP. The paper employed qualitative research methodology using semi-structured interviews and documentary review as two data collection methods. Moreover, the Gauteng Department of Education (GDE) Johannesburg North District was chosen as a case study for the research strategy. The study reviewed pertinent literature, conducted semi-structured interviews to collect data. The data was analysed using thematic content analysis in order to qualitatively examine the data gathered. The paper's findings demonstrated that the GDE has a plan in place to oversee the NSNP's food handler recruitment practices, and that plan is spelt out in detail in their advising memorandum on the subject. Nevertheless, the study found that the approach does not align with the principles and practices of Public Human Resource Management (PHRM). According to the findings, the NSNP lacks a defined recruitment policy that would govern its hiring practices. It was found that there are challenges in the recruitment process. Finally, this paper offered recommendations for improved recruitment practices for food handlers.
The Fourth Industrial Revolution (4IR) has ushered in profound transformations across global industries, with the hospitality sector increasingly challenged to adapt its human resource practices to a digitally driven operating landscape. This conceptual review explores the intersection of digitalisation, human capital development, and technological innovation in the context of recruitment and selection within the hospitality industry—focusing particularly on developing economies such as South Africa. The paper traces the evolution from traditional recruitment methods to technology-enabled practices, highlighting the strategic role of artificial intelligence, blockchain, and data analytics in enhancing recruitment efficiency, selection accuracy, and workforce alignment with 4IR demands. Despite these advances, the hospitality industry continues to face structural and contextual limitations that inhibit the adoption of digital HRM systems. This article calls for a paradigm shift from conventional, analogue-based talent acquisition approaches to agile, competency-based, and digitally integrated models. The review further emphasises the critical need for policy support, infrastructural development, and empirical research that bridges the digital divide in human capital strategy. Ultimately, the paper argues that digitalisation, when strategically aligned with organisational objectives and human-centred values, can serve as a transformative lever for building resilient, future-ready workforces in hospitality and beyond.
This study examines how using information and communication technologies (ICT) affects the performance of Tunisian SMEs in human resources management (HRM). The findings indicate that numerous Tunisian small and medium-sized enterprises struggle to integrate ICT tools into human resource management due to inadequate foundational knowledge about these technologies and a limited understanding?of their functionality. Consequently, they may underperform. As argued by Müller and Voigt (2021), proper utilization of ICT can be achieved through the appropriate?adoption of tools and the continuous development of digital skills within human capital. Jones and Kim (2020) also highlight the significance of this finding, suggesting that investment in tools (e.g., the intranet) not only enhances internal communication but also forges connections between mobile employees, those working from home, and office-based employees.
The ongoing digitization of professional interactions has significantly altered how employers evaluate candidates throughout the hiring process, with digital footprints emerging as a crucial factor in recruitment decisions. This integrative literature review investigates the influence of digital footprints on two essential recruitment outcomes: interview invitation rates and perceived cultural fit. Digital footprints, which encompass social media activity, professional profiles, and online interactions, provide employers with valuable insights into a candidate's qualifications, personality traits, and cultural alignment. Research indicates that candidates with well-managed digital profiles, particularly on platforms such as LinkedIn, tend to receive a higher number of interview invitations, whereas adverse online content can negatively impact job prospects. Furthermore, employers are increasingly leveraging digital footprints to gauge cultural fit by analysing online behavior, shared content, and social media interactions to assess alignment with organizational values. However, the reliance on digital footprints raises ethical concerns, including privacy issues, unconscious bias, and discrimination, as employers may unconsciously favour candidates who share similar personal or political views. The review underscores the necessity for standardized ethical guidelines in digital screening practices to ensure fair and unbiased hiring decisions. Additionally, job seekers are encouraged to proactively manage their online presence, curating content that accurately represents their professional identity. Employers should strive to balance efficiency with fairness by implementing transparent digital screening policies to mitigate bias risks. This study contributes to both academic discourse and practical approaches for digital hiring, emphasizing the importance of ethical frameworks and systematic evaluations in the digital recruitment process. Future research should investigate cross-cultural variations in digital screening practices and the implications of artificial intelligence in automating digital footprint assessments. Ensuring fairness and transparency in digital hiring practices will be essential for fostering equitable employment opportunities in the digital era.
This study aims to analyze the influence of social media use, technology utilization, and e-recruitment on the interest of Generation Z in career opportunities in applying for jobs. Gen Z has a high reliance on technology and social media, which has an impact on the way they search for and apply for jobs. The method used in this study is a quantitative method. The data source in this study uses primary data. The data collection technique uses a google form questionnaire. The population in this study is active students who take their TA thesis. Even 2023/2024 at the Faculty of Economics and Business, Prof. Moestopo University (Religious). The sample in this study is 30 people. The sampling method is random sampling. The data analysis in this study uses multiple linear regression using validity test, reliability test, classical assumption test and t-hypothesis test and determination coefficient test. The results of the study show that the use of social media, the use of technology, and e-recruitment have a positive influence on Generation Z's interest in career opportunities in applying for jobs. Social media plays a role in disseminating vacancy information widely. Generation Z relies heavily on social media as a source of information and a means to explore career opportunities. Technology, such as online job search platforms, social media, and digital communication tools, provides easy access and quick information, thereby increasing their interest in finding and applying for jobs. Generation Z tends to be more interested in the recruitment process that is carried out online compared to conventional methods.
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 |