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: 8 / 8 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.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 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 |
|---|---|---|---|---|---|
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 16 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 8 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 8 / 8 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): 2026-10-21T00:14:28.511478+00:00 — 2026-10-21T07:23:09.000097+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 | 2 | 8 | 8/8 |
| 2018 | All selected publications | 1 | 8 | 8/8 |
| 2019 | All selected publications | 1 | 8 | 8/8 |
| 2020 | All selected publications | 4 | 8 | 8/8 |
| 2021 | All selected publications | 1 | 8 | 8/8 |
| 2022 | All selected publications | 2 | 8 | 8/8 |
| 2023 | All selected publications | 4 | 8 | 8/8 |
| 2024 | All selected publications | 4 | 8 | 8/8 |
| 2025 | All selected publications | 3 | 8 | 8/8 |
| 2026 | All selected publications | 3 | 8 | 8/8 |
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 |
|---|---|
| 2015 | 1 |
| 2021 | 2 |
| 2022 | 1 |
| 2023 | 3 |
| 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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 3 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 5 | 16 | 1/1 | 5.0 | 5 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 6 | 5 | 7 | 6/6 | 0.83 | 1.0 | 66.7 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
The positive of impact of market orientation toward business performance of a company is a common wisdom in the marketing literatures. Hence the prior studies recommend that the connection will depend on other strategic actions. In this regards, this study tries to assess the construct of business ethics as the precedent of market orientation in the context of Indonesia Islamic banks. Upon assessing data using SmartPLS, this study finds that market orientation is the determinant of business performance and Islamic business ethics is the precedent of market orientation. However, market orientation is not effective as the mediator in the relationship between Islamic business ethics and business performance. The discussion of this finding is provided as well as the managerial implication at the end of this paper.
This paper investigates the relationship between macroeconomic factors, firm financial position, and firm value in Indonesia's property and real estate sector from 2017 to 2022. The property and real estate sectors significantly influence Indonesia's economic growth. Nevertheless, the real estate sector has encountered significant obstacles in recent years, notably during the COVID-19 pandemic, due to volatility in interest rates, high construction costs, and the sluggish property market. This study aims to address the existing research gap by investigating the relationship between macroeconomic indicators, including GDP growth, inflation rates, and interest rates, as well as financial factors, such as profitability and leverage, on the industry’s firm value over a specified timeframe. Using panel data regressions, the study analyzes 162 observations from 27 listed property and real estate companies. The empirical findings demonstrate that property and real estate firms have the potential to enhance their overall performance and increase shareholder value by considering the interconnectedness of economic conditions and the financial position of the firm. Profitability emerges as a significant predictor of firm value, while the selected macroeconomic factors have significant and insignificant effects on the valuation of firms. Meanwhile, since this industry has substantial leverage, this variable does not affect firm value. This study also highlights that the critical component that drives the evaluation of a firm's value is heavily influenced by the specifics of the industry and the regulatory framework in which the business operates.
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.
Sustainability has become a significant concern worldwide, and Indonesia is no exception. In Indonesia, the sustainable business practice has slowly arisen to conquer the global challenge. This paper highlights the need for a sustainable business model for the batik industry in Anugerah Batik Cooperative, Ciwaringin Village, Indonesia, by considering two factors, namely the utilization of natural dyeing in the batik process and the Covid-19 pandemic. Using a mix-method and business model canvas approach, the researchers interviewed nine owners of the sustainable batik industries and sent 109 questionnaires to the batik customers. The mix-method allowed the researchers to capture the existing business practice and gain insights from the batik customers' perception of sustainable batik products. A new perspective regarding the business model was developed by highlighting several building blocks, including value propositions, customer segments, customer relationships, essential resources, key activities, and revenue streams.
The delivery system for Base Transceiver System (BTS) to strengthen the telecommunication network throughout Indonesia maritime country is needed to speed up the process due to uneven distribution of sufficient telecommunications infrastructure. PT. Gunadhya Rajawali Logistik (GRL) is a third-party logistics company that focuses on transportation and warehouse management and delivery for telecommunication equipment tools. Unfortunately, in delivering BTS installation part throughout Indonesia, PT. GRL received several warning letters and had to pay a penalty from one of customers, for being late in reporting the delivery proof. This study aims to analyze the root causes of late submission of Soft Copy of Proof of Delivery (SCPOD) to avoid penalty given by the customer and determine suitable solutions to improve the process. The approach used in this study is lean six sigma with the help of Define, Measure, Analyze, Improve, and Control (DMAIC) roadmap. According to the interview with the employees related, the root causes of late submission of SCPOD are irresponsible drivers, indiscipline drivers in carrying out deliveries, and lack of data management in the transportation system. To be able to solve this problem, several proposed solutions can be applied. The proposed solutions to overcome the root causes that should be applied by the company are to hire a document control, retraining the Standard Operating Procedure (SOP) for drivers, utilize transportation management system application, and apply incentive systems for drivers. In the future, it is recommended for PT. GRL to have a minimum standard in recruiting the drivers for example only recruit who possess a minimum of high school education to ease the completion of administrative tasks.
This research seeks to investigate the individual and organisational elements that can influence patient happiness in premium healthcare environments. It also seeks to determine which factors most significantly account for variations in patient experience among hospital units. This research employed a mixed methods design (Creswell & Plano Clark, 2018). The quantitative phase employed an online survey method including 1,751 frontline staff, including nurses and patient-facing administrative personnel, across 14 premium hospitals in Indonesia. This sample constituted 64% of the overall population coverage. The study assessed seven constructs: competency, motivation, weariness, emotional intelligence, leadership support, workplace culture, and hospital policies. Simple linear regression analysis was employed to examine the correlation between these variables and unit-level patient satisfaction levels. The qualitative phase employed a Focus Group Discussion (FGD) methodology, with eight participants selected via maximum variation sampling. The qualitative data were examined with the Gioia thematic analysis method to comprehend the operational dynamics of these aspects in everyday practice. Our results indicate that five of the seven hypothesised parameters strongly predicted patient satisfaction at p < 0.05. The strongest predictor of workplace culture was identified, with a R² value of 0.641. Subsequently, emotional intelligence exhibited a R² of 0.565, while hospital policies demonstrated a R² of 0.560. Individual competency, with a p-value of 0.458, and weariness, with a p-value of 0.812, did not substantially predict patient happiness. The study's findings, derived from a qualitative method, elucidate how organisational elements manifest through specific daily routines, including shift briefings and well-defined standard operating procedures. In high-quality healthcare environments, organisational factors seem to be more significant predictors of patient satisfaction than the proficiency of individual staff members. These factors encompass organisational culture, leadership availability, and explicit hospital regulations. This discovery undermines the presumption that individual staff proficiency is the primary distinguishing element in patient satisfaction. When hospitals implement rigorous hiring requirements and staff achieve the requisite baseline competency, organisational variables significantly influence patient experience. Consequently, the results indicate that leaders in premium healthcare should not concentrate just on enhancing individual competencies. They must also enhance work culture and leadership techniques that promote continuous patient-centered service behaviour.
This paper investigates the relationship between macroeconomic factors, firm financial position, and firm value in Indonesia's property and real estate sector from 2017 to 2022. The property and real estate sectors significantly influence Indonesia's economic growth. Nevertheless, the real estate sector has encountered significant obstacles in recent years, notably during the COVID-19 pandemic, due to volatility in interest rates, high construction costs, and the sluggish property market. This study aims to address the existing research gap by investigating the relationship between macroeconomic indicators, including GDP growth, inflation rates, and interest rates, as well as financial factors, such as profitability and leverage, on the industry’s firm value over a specified timeframe. Using panel data regressions, the study analyzes 162 observations from 27 listed property and real estate companies. The empirical findings demonstrate that property and real estate firms have the potential to enhance their overall performance and increase shareholder value by considering the interconnectedness of economic conditions and the financial position of the firm. Profitability emerges as a significant predictor of firm value, while the selected macroeconomic factors have significant and insignificant effects on the valuation of firms. Meanwhile, since this industry has substantial leverage, this variable does not affect firm value. This study also highlights that the critical component that drives the evaluation of a firm's value is heavily influenced by the specifics of the industry and the regulatory framework in which the business operates.
This study aims to determine the impact of leverage, profitability, and size on firm value with CSR disclosure as a moderating variable. The research population is Consumer Goods Industry-Cosmetics and Household Sub-Sector companies listed on the IDX for 2015-2021. Sampling was conducted by purposive sampling with specific criteria, and then the data were analyzed using Moderated Regression Analysis (MRA). It is clearly seen from the data analysis that leverage, profitability and firm size did not affect firm value. Therefore, CSR disclosure cannot moderate the relationship between profitability, firm size, and firm value but weakens the relationship between leverage and firm value. Thus, CSR disclosure can moderate the relationship between leverage and firm value.
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.
Sustainability has become a significant concern worldwide, and Indonesia is no exception. In Indonesia, the sustainable business practice has slowly arisen to conquer the global challenge. This paper highlights the need for a sustainable business model for the batik industry in Anugerah Batik Cooperative, Ciwaringin Village, Indonesia, by considering two factors, namely the utilization of natural dyeing in the batik process and the Covid-19 pandemic. Using a mix-method and business model canvas approach, the researchers interviewed nine owners of the sustainable batik industries and sent 109 questionnaires to the batik customers. The mix-method allowed the researchers to capture the existing business practice and gain insights from the batik customers' perception of sustainable batik products. A new perspective regarding the business model was developed by highlighting several building blocks, including value propositions, customer segments, customer relationships, essential resources, key activities, and revenue streams.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |