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: 11 / 11 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 — 22 Oct 2026 12:02 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 | 4 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 16 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 15 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 20 | 4 | 4/4 | 4/4 |
| 2023 | All selected publications | 19 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 2025 | 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 11 / 11 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): 2026-10-21T07:22:48.912173+00:00 — 2026-10-22T12:02:24.658940+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 | 11 | 11/11 |
| 2018 | All selected publications | 0 | 11 | 11/11 |
| 2019 | All selected publications | 0 | 11 | 11/11 |
| 2020 | All selected publications | 0 | 11 | 11/11 |
| 2021 | All selected publications | 0 | 11 | 11/11 |
| 2022 | All selected publications | 2 | 11 | 11/11 |
| 2023 | All selected publications | 6 | 11 | 11/11 |
| 2024 | All selected publications | 13 | 11 | 11/11 |
| 2025 | All selected publications | 11 | 11 | 11/11 |
| 2026 | All selected publications | 13 | 11 | 11/11 |
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 | 4 |
| 2023 | 4 |
| 2024 | 2 |
| 2025 | 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 | 2 | 6 | 6 | 2/2 | 3.0 | 3.0 | 50.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 9 | 29 | 39 | 9/9 | 3.22 | 3 | 100.0 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
From various reviews about innovation, this article will discuss technology orientation and innovation capabilities through digital transformation 4.0 in small businesses. There is a need to examine the relationship between the two from a useful perspective about see toward using various studies related to technology orientation and innovation capabilities in the industrial era 4.0. This study aims to increase understanding of technology orientation and innovation capabilities in the context of small businesses through Digital Transformation 4.0 by reviewing the empirical literature. The articles presented can guide further studies related to technology orientation with innovation capabilities so that it can be easily understood by researchers and entrepreneurs among small businesses.
This study analyzes the relationship between knowledge sharing, absorptive capacity, and innovation ability to competitive advantage in Cafe and Modern Restaurant in Yogyakarta, Indonesia. This study is designed as a quantitative study with primary data obtained through the distribution of questionnaires. The population in this study was 1056 modern cafes and restaurants in Yogyakarta. Purposive sampling was conducted, and a sample of 213 respondents was selected from 89 modern cafes and restaurants in Yogyakarta that have adopted digital and have more than 500 Instagram followers. This study limits the sample to three positions: owner, manager, and supervisor. The data collected were analyzed using the structural equation model method using AMOS 24 software. This study indicates that knowledge sharing is an essential factor in increasing innovation ability and has been shown to significantly affect absorptive capacity and competitive advantage. This research also shows that innovation and absorptive capacity positively affect competitive advantage. The study results may help managers or owners of café and modern restaurants in Yogyakarta improve and develop innovation and competitive advantage in café and modern restaurants through knowledge sharing and absorptive capacity.
This research was conducted to identify the determinants of SME's performance as well as look at the underlying conditional factors. Researchers examine the direct effect of product innovation on SME's performance and consider the moderating role of market orientation and organizational learning. Using the quantitative method, the researchers conducted a survey of 170 SME owners in DKI Jakarta Province who were selected using a purposive sampling method. This survey was conducted online by distributing questionnaires through an online platform. The data is then analyzed using Structural Equation Model with AMOS and Process by Hayes. The results of hypothesis testing show that product innovation has a positive effect on the performance of SMEs, and this effect will be stronger when SMEs have high market orientation and high organizational learning. This research can be used as a reference by owners or managers of SME to advance their businesses. SME need to innovate products and form a conducive climate in market-oriented organizations, as well as a climate that allows them to carry out organizational learning.
This study aims to examine the effect of entrepreneurial orientation, knowledge management, and innovation on organizational performance. This study uses explanatory research with a quantitative approach. The population in this study was made up of Malang City consumer cooperatives. The study employed the purposive sampling technique. The sample in the study was 60 consumer cooperatives. Data was collected through surveys, documentation, and the use of Likert scales to test instruments. The data was analyzed using Structural Equation Model Partial Least Squares (SEM-PLS) modeling. The results of this study indicate that entrepreneurial orientation and knowledge management can directly improve organizational performance. However, unlike knowledge management, entrepreneurial orientation cannot increase innovation. Organizational performance can be directly improved by innovation. Innovation is unable to mediate between entrepreneurial orientation and organizational performance. However, innovation is able to mediate the relationship between knowledge management and organizational performance. The findings of this study suggest that consumer cooperatives in Malang City can improve organizational performance by optimizing entrepreneurial organizations and knowledge management.
Within these dynamics and disruptive eras, it is crucial for all kinds of organization to build and ensure their competencies in increasing their performance and maintaining their position, including for SMEs. This study aims to identify the role of exploitative and organizational learning in influencing SMEs' performance. It also considers the moderating role of environmental dynamism as the conditional factor that underlies the relationship. We carried out the study on 150 SMEs in Jakarta, Indonesia, which was chosen using purposive sampling. The data is collected by distributing an online questionnaire to the respondents, which is then processed and analyzed using Structural Equation Modeling with AMOS. The results of this study indicate that exploitative learning and organizational learning lead to higher SME performance. Furthermore, this influence is more potent when SMEs exist within a dynamic environment, as they will feel the necessity to learn more to face the challenges and seize the opportunities.
This research analyses how a service firm develops an ecosystem and serves as the orchestrator. A unique coffee shop in a mountainous area was used as the subject because it has abundant resources to become an orchestrator and various distinctive traits. A single case study design was selected to enable researchers to analyse depth and rich data, covering all participants within the ecosystem. Using a holistic case study design enables investigators to explore complex interplays of ecosystem participants. This study demonstrates that a firm uses elements of dynamic capabilities to manage the evolving process of ecosystem dynamics, starting from the initial formation of the ecosystem to the maturity stage. Our analysis identifies what derivative capabilities can be created from each element of dynamic capabilities and how these derivative capabilities are employed for developing and managing partners involved in the ecosystem. This study establishes a contribution by examining a coffee shop, representing a small service firm, and its evolution into an ecosystem orchestrator role - an under-explored setting in prevailing orchestration literature concentrated on large platform corporations. Single case studies are often criticized because their generalizability is thin and their findings are narrow. However, this weakness has led to the advantage of presenting insights in detail and depth.
This present study was conducted to advance an understanding of market orientation concept, by exploring the relationship between market orientation, competitive strategy and business performance in a sample of small- and medium-sized companies in Indonesia. A quantitative research method was adopted to investigate the relationship between the variables. A total of 200 questionnaires were distributed, from which 182 usable questionnaire were obtained (91% response rate). Correlational and regression analyses were used to examine the relationships between market orientation and the other variables measured in the study. It was found that market orientation had both direct and indirect positive influence on business performance. All three dimensions of market orientation (i.e., customer orientation, competitor orientation and inter-functional coordination) showed a simple linear relationship to the business performance, and the inter-functional coordination had the strongest association with business performance.
This study explores the critical role of dynamic capabilities in enhancing business performance among small and medium-sized enterprises (SMEs) in the café sector of Malang City, Indonesia. Specifically, it examines how dynamic capabilities influence both explorative and exploitative innovations and how these innovations, in turn, affect business performance. Using a quantitative approach, data were collected from 110 café owners through structured questionnaires. The results indicate that dynamic capabilities significantly impact both explorative and exploitative innovations. Explorative innovation, which involves the development of new products and the exploration of new markets, was found to have a substantial positive effect on business performance. Conversely, exploitative innovation, which focuses on refining and improving existing products and processes, showed a positive but less pronounced impact. The findings underscore the importance of dynamic capabilities in fostering innovation and improving business performance in a competitive environment. This study offers practical insights for café owners and entrepreneurs in the food and beverage sector, highlighting the need for continuous development of dynamic capabilities and a balanced approach to innovation. Future research is encouraged to expand on these findings by exploring additional factors and utilizing longitudinal data to capture the evolving nature of these relationships.
In 1997, Indonesia had a severe economic crisis, which prompted the Indonesian government to face significant pressure to promptly initiate governmental reform. There is a prevailing desire among the general public for enhancements in governance, with one aspect of this being the implicit need for improvements in government performance. This study investigates the role of service innovation as a mediator in the relationship between entrepreneurial orientation, organizational learning capability, and organizational performance. The study was conducted at the Directorate General of State Assets Management (DGSAM) in Indonesia. The questionnaires were collected from a total of 226 head offices, specifically from the heads of sections under the vertical agency of DGSAM, which is the State Assets and Auction Service Office (Kantor Pelayanan Kekayaan Negara dan Lelang/KPKNL). A quantitative approach was employed in order to elucidate, substantiate, and exemplify the hypothesis posited in the investigation pertaining to the observed events. The statistical technique employed for data processing was Partial Least Squares Structural Equation Modeling (PLS-SEM). This study demonstrates a significant and positive correlation between entrepreneurial approach and organizational learning capability, and both service innovation and organizational success. However, it is determined that service innovation does not act as a mediator in the relationship between entrepreneurial attitude and organizational learning capability in terms of organizational performance. The anticipated outcomes of this study are expected to make significant contributions to the field of science and its associated stakeholders.
This study aims to examine the effect of entrepreneurial orientation, knowledge management, and innovation on organizational performance. This study uses explanatory research with a quantitative approach. The population in this study was made up of Malang City consumer cooperatives. The study employed the purposive sampling technique. The sample in the study was 60 consumer cooperatives. Data was collected through surveys, documentation, and the use of Likert scales to test instruments. The data was analyzed using Structural Equation Model Partial Least Squares (SEM-PLS) modeling. The results of this study indicate that entrepreneurial orientation and knowledge management can directly improve organizational performance. However, unlike knowledge management, entrepreneurial orientation cannot increase innovation. Organizational performance can be directly improved by innovation. Innovation is unable to mediate between entrepreneurial orientation and organizational performance. However, innovation is able to mediate the relationship between knowledge management and organizational performance. The findings of this study suggest that consumer cooperatives in Malang City can improve organizational performance by optimizing entrepreneurial organizations and knowledge management.
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 |