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: 29 / 29 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 — 29 Oct 2026 09:06 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.
29 / 29 with data · 0 missing or unmatched. Percentages use all 29 selected publications.
29 / 29 with data · 0 missing or unmatched. Percentages use all 29 selected publications.
29 / 29 with data · 0 missing or unmatched. Percentages use all 29 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 | 29 | 29 | 29/29 | 29/29 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 15 | 29 | 29/29 | 29/29 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 16 | 29 | 29/29 | 29/29 |
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 29 / 29 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): 2026-10-21T07:22:59.981724+00:00 — 2026-10-29T09:06:24.855913+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 | 29 | 29/29 |
| 2018 | All selected publications | 0 | 29 | 29/29 |
| 2019 | All selected publications | 0 | 29 | 29/29 |
| 2020 | All selected publications | 0 | 29 | 29/29 |
| 2021 | All selected publications | 0 | 29 | 29/29 |
| 2022 | All selected publications | 0 | 29 | 29/29 |
| 2023 | All selected publications | 0 | 29 | 29/29 |
| 2024 | All selected publications | 0 | 29 | 29/29 |
| 2025 | All selected publications | 4 | 29 | 29/29 |
| 2026 | All selected publications | 12 | 29 | 29/29 |
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 | 29 |
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 | 29 | 15 | 16 | 29/29 | 0.52 | 0 | 41.4 | 29/29 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to analyze the effect of servicescape on revisit intention at fine dining restaurants in Malang City, by reviewing the mediating role of customer satisfaction and restaurant reputation. The restaurant industry, especially fine dining, faces major challenges due to tight competition triggered by the increasing number of restaurants in Indonesia. This phenomenon requires restaurants to offer more than just food and drinks, namely an exclusive dining experience, involving servicescape elements such as ambiance, functionality, and signs that affect customer satisfaction and restaurant reputation. This study found that servicescape has a positive and significant effect on revisit intention (?=0.379; p<0.001), customer satisfaction (?=0.156; p<0.001), and restaurant reputation (?=0.745; p<0.001). Elements such as interior design, lighting, aroma, cleanliness, and service create a memorable experience for customers, strengthen the restaurant's reputation, and increase customer loyalty. In addition, mediation by customer satisfaction and restaurant reputation showed significant results (p<0.001 and p=0.020), strengthening the relationship between servicescape and revisit intention. These results confirm that a good restaurant reputation not only increases consumer trust but also strengthens their perception of the quality of the experience offered. In the context of fine dining, servicescape is key to creating a high-end experience that meets customer expectations, thereby increasing return intentions and building loyalty. This study provides important insights for fine dining restaurant managers on how servicescape elements and restaurant reputation can be optimized to create a competitive advantage amidst increasingly fierce industry competition.
The objective of this study was to explore the factors influencing the intention to use Islamic digital banking in Indonesia, focusing on the roles of performance expectancy, effort expectancy, social influence, facilitating conditions, habit, hedonic motivation, price value, and religiosity. Data were collected from a sample of 434 respondents in January 2024 through an online survey. The study utilized a research model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The data were analyzed using structural equation modeling (SEM). The results indicate that effort expectancy, social influence, habit, price value, and religiosity significantly affect the behavioral intention to use Islamic digital banking, while performance expectancy, facilitating conditions, and hedonic motivation did not show significant effects. These findings highlight the importance of religious and ethical considerations, ease of use, and social factors in shaping the adoption of Islamic digital banking services. The study offers valuable insights for practitioners and policymakers, emphasizing the need for tailored strategies that promote the use of Islamic digital banking in Indonesia.
This study examines the impact of Foreign Direct Investment (FDI) on economic growth in South Africa over the period 2000 to 2023. An Ordinary Least Squares (OLS) regression model was employed to assess the relationship between FDI inflows and Gross Domestic Product (GDP), while controlling for key macroeconomic variables. The findings reveal that FDI exerts a significant positive influence on economic performance, with a 1% increase in FDI inflows associated with a 1.93% rise in GDP. However, high inflation exerts a detrimental effect, with a coefficient of -1.99, highlighting the importance of macroeconomic stability. The analysis also indicates that trade openness contributes positively to economic growth, while political risk remains a substantial deterrent to investment, as shown by a coefficient of -3.11. These findings underline the importance of maintaining a stable political environment, managing inflation effectively, and enhancing trade liberalisation to maximise the benefits of FDI. Policy recommendations include strengthening regulatory frameworks and fostering trade openness.
This study investigates the impact of Information Technology (IT) and Organizational Culture on Employee Performance, with Job Satisfaction as a mediating variable, and Task-Technology Fit as a moderating factor. Conducted in the context of the Direktorat Jenderal Perbendaharaan (DJPB) in East Java, the study analyzes the relationships between these variables and their collective influence on employee performance. Data was collected from 297 employees using an online questionnaire, with a quantitative approach based on Structural Equation Modeling (SEM) for data analysis. The study finds that both IT and Organizational Culture significantly enhance Employee Performance, with Job Satisfaction mediating these effects. Additionally, Task-Technology Fit moderates the relationship between IT and Employee Performance, as well as between Organizational Culture and Employee Performance. The study emphasizes the importance of aligning technology with tasks and fostering a positive organizational culture to enhance job satisfaction, which in turn boosts employee performance. The results contribute to the understanding of how IT, Organizational Culture, Job Satisfaction, and Task-Technology Fit interrelate to influence performance, providing practical implications for improving human resource management and operational efficiency in public sector organizations.
This research examines digital transformation and corporate entrepreneurship as strategies to face disruption in the global era. The study is motivated by technological advances such as AI, Big Data, and IoT that drive a shift in business paradigms. The research objectives include analyzing corporate entrepreneurship strategies to spur innovation, conducting case studies of companies successfully implementing corporate entrepreneurship, identifying barriers and challenges, and evaluating implications for companies in the digital era. The research employs a qualitative approach using case studies and literature analysis to integrate primary and secondary data through triangulation and thematic analysis. Findings indicate that the application of innovative strategies through corporate entrepreneurship enhances competitive advantage, accelerates digital adaptation, and optimizes both internal and external collaboration. Key barriers—such as conservative organizational culture and limited resources—can be overcome through structural changes and investments in technology and human resources. The conclusions emphasize the importance of synergy between digital innovation and corporate entrepreneurship in creating sustainable company growth. This study contributes strategically to the development of adaptive business models amid digital disruption. The findings are expected to serve as a reference for practitioners and academics in designing innovative strategies that respond effectively to global market dynamics, thereby enhancing operational efficiency and achieving a sustainable competitive edge.
This study aims to empirically analyze the three key pillars of university financial sustainability—revenue-generating activities, good financial governance, and IT capabilities—with performance, age, and size as control variables. Using a survey method targeting private universities in Indonesia, data were collected from financial leadership representatives across 14 provinces, yielding 627 valid responses. The data were analyzed using structural equation modeling (SEM) to examine the relationships among variables. The results reveal significant positive effects of good financial governance on financial sustainability, IT capabilities on financial sustainability and revenue-generating activities on financial sustainability. Furthermore, revenue-generating activities have a strong positive impact on both good financial governance and IT capabilities. The analysis also identifies IT capability as a mediating variable between revenue-generating activities and financial sustainability, as well as between good financial governance and financial sustainability. These findings underscore the strategic role of technology-based governance in enhancing the financial resilience of higher education institutions. Accordingly, the study recommends strengthening the three pillars of financial sustainability—revenue diversification, sound governance practices, and robust IT capabilities—to ensure long-term institutional sustainability.
This research investigates the connection between governmental assistance and business outcomes, incorporating the intermediary functions of business networking and digital marketing. Data were gathered through a questionnaire, which was distributed to 152 participants who represent MSMEs in the culinary industry in Surabaya City. The examination of this data was performed utilizing the SEM-PLS method, facilitated by SmartPLS 3.0 software. Findings from the study reveal that governmental support significantly enhances both business networking and digital marketing. Additionally, business networking and digital marketing significantly improve business performance. The research additionally illustrates that both business networking and digital marketing play a significant role in mediating the connection between government support and the success of culinary MSMEs in Surabaya City.
This study examines the impact of Foreign Direct Investment (FDI) on economic growth in South Africa over the period 2000 to 2023. An Ordinary Least Squares (OLS) regression model was employed to assess the relationship between FDI inflows and Gross Domestic Product (GDP), while controlling for key macroeconomic variables. The findings reveal that FDI exerts a significant positive influence on economic performance, with a 1% increase in FDI inflows associated with a 1.93% rise in GDP. However, high inflation exerts a detrimental effect, with a coefficient of -1.99, highlighting the importance of macroeconomic stability. The analysis also indicates that trade openness contributes positively to economic growth, while political risk remains a substantial deterrent to investment, as shown by a coefficient of -3.11. These findings underline the importance of maintaining a stable political environment, managing inflation effectively, and enhancing trade liberalisation to maximise the benefits of FDI. Policy recommendations include strengthening regulatory frameworks and fostering trade openness.
Although halal tourism has attracted growing scholarly attention, existing studies predominantly emphasize market potential, tourist perceptions, and promotional strategies. To date, no research has rigorously examined the probability of Muslim tourists’ visit decisions by integrating halal attributes, religiosity, and attitudes within Indonesia’s five Super Priority Destinations (SPDs). Addressing this gap, the present study applies a quantitative design using a probabilistic logit model based on survey data from Muslim tourists. The findings reveal that the completeness of halal attributes substantially increases the probability of destination choice, while religiosity and positive tourist attitudes further strengthen the likelihood of visits. These results demonstrate that halal tourism decisions can be modelled as a probabilistic function of destination attributes rather than solely as cultural or religious expressions. The study highlights the critical role of Destination Management Organizations (DMOs) in institutionalizing halal standards, thereby enhancing visit probabilities, boosting competitiveness, and ensuring sustainable tourism development.
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.
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 |