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.
ISSN 2147-4478 • Journal website ↗
Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.
2022 · Zaenal Aripin · Uce Karna Suganda · Allizia Zulfa Kusumah
2020 · Claudia Florensia · Neneng Susanti
2022 · Adjeng Mariana Febrianti · Nuke Siti Nurhuda Jufri
2022 · Adjeng Mariana Febrianti · Eka Triana Yulian
2022 · Winny Anggraeni · Adjeng Mariana Febrianti
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: 13 / 13 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 — 23 Oct 2026 23:39 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 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 selected publications.
13 / 13 with data · 0 missing or unmatched. Percentages use all 13 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 9 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 16 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 17 | 5 | 5/5 | 5/5 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 28 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 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 13 / 13 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): 2026-10-21T07:22:43.940924+00:00 — 2026-10-23T23:39:19.945540+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 | 13 | 13/13 |
| 2018 | All selected publications | 0 | 13 | 13/13 |
| 2019 | All selected publications | 0 | 13 | 13/13 |
| 2020 | All selected publications | 1 | 13 | 13/13 |
| 2021 | All selected publications | 4 | 13 | 13/13 |
| 2022 | All selected publications | 6 | 13 | 13/13 |
| 2023 | All selected publications | 10 | 13 | 13/13 |
| 2024 | All selected publications | 11 | 13 | 13/13 |
| 2025 | All selected publications | 13 | 13 | 13/13 |
| 2026 | All selected publications | 2 | 13 | 13/13 |
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 ↗
Records with full publication dates only. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2020-04 | 1 |
| 2020-07 | 2 |
| 2020-09 | 1 |
| 2020-12 | 1 |
| 2021-02 | 1 |
| 2022-02 | 1 |
| 2022-03 | 2 |
| 2022-06 | 1 |
| 2022-09 | 1 |
| 2024-06 | 1 |
| 2024-12 | 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 | 13 | 26 | 47 | 13/13 | 2.0 | 1 | 61.5 | 13/13 · 100.0% |
* Percentage among publications with a known citation count.
Making strategic decisions in a dynamic business environment has become a challenge for business people, especially in small and medium-sized enterprises (SMEs). Contextual knowledge gained in understanding the external environment is a factor that must be owned by every business person so that they gain a competitive advantage in increasing competition. This study aims to test the Entrepreneurial Performance model. The research was conducted on SMEs in West Java, in the city of Bandung. The sample selection was determined using the purposive sampling method and obtained 170 respondents as a sample. The analysis was carried out using the Structural Equation Model (SEM). The results of the study indicate the fit model after modification and produce an alternative model in the form of a correlation between Marketing Intelligence and Entrepreneurial Performance. Marketing Intelligence, Product Innovation and Competitive Advantage have a direct significant influence on Entrepreneurial Performance. Product Innovation partially has no significant effect on Competitive Advantage. This research is expected to contribute to SMEs in the city of Bandung to always have a good knowledge before making a decision. This knowledge includes an understanding of trends, media, competitors, and suppliers. The limitation in this study is also in its scope, which is only limited to a few SMEs in the city of Bandung. It is expected that future researchers will add samples and use other variables that can improve entrepreneurial performance.
This study aims to determine the effect of six-factor (market return, firm size, value, profitability, investment, human capital) on excess return in companies with shares listed in LQ45 for the 2015-2019 period. The population of this study consists of 45 LQ45 companies listed on the Indonesia Stock Exchange (IDX). The purposive sampling method is the sample selection method that is used in this study. As a result, it shows that there are 26 companies that fit the criteria and taken as samples. Furthermore, the data analysis method that is used in this study is the panel data regression model. Based on the results of this study, it is showed that partially, market return (X1), firm size (X2), profitability (X4), and investment (X5) have a significant positive effect on the excess return of companies listed in LQ45 for the 2015-2019 period. Whereas, value (X3) and human capital (X6) do not have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period partially. Another result also shows that simultaneously or as a whole, six-factors (market return, firm size, value, profitability, investment, human capital) have a significant effect on the excess return of companies listed in LQ45 for the 2015-2019 period.
This study aims to understand the predictors of firm performance, namely by examining the direct influence of transformational leadership, HRM digitalization, and organizational commitment. The sample which becomes the respondents of this study is the owners or managers of creative MSMEs in Bandung, West Java, with the number of samples of 125 respondents. The data is collected using survey method, namely by giving the questionnaires to the respondents. The data is analyzed using multiple linear regression analysis with SPSS 25 software. The findings prove that transformational leadership, HRM digitalization, and organizational commitment are able to predict firm performance, both partially and simultaneously.
Organizations are currently seeking for ways to improve their performance in order to remain in the fierce competition in the business environment. In this regard, leadership plays a crucial role as they can shape employees’ behavior and attitude in the organization. This study is carried out to analyze and understand the relationship between servant leadership, work engagement, and job performance. It also aims to examine the mediating role of work engagement in the relationship between servant leadership and job performance. This study uses quantitative approach with the survey. The population of this study is employees of manufacturing companies in West Java, Indonesia, with a total number of samples of 115 respondents, which are chosen using purposive sampling. The data collection is done using a survey by distributing questionnaires to respondents online. The data analysis uses Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study indicate that servant leadership has a positive influence on both work engagement and job performance, while work engagement has a positive influence on job performance. In addition, this study also proved that work engagement is a mediator in the relationship between servant leadership and job performance. This study provides a fruitful contribution for managers or leaders of employees in manufacturing companies, such that they can foster employee performance through leading in a servant leadership style. This leadership style will be able to help employees to develop engagement in their work, and it will eventually increase their job performance.
Organizations today are in a dynamic state and in need to constantly change. This study aims to determine the mediating role of mindfulness in the relationship between perceived organizational support and individual readiness for change. This research was conducted by distributing questionnaires to 175 employees who work in service companies determined by the purposive sampling technique. The existing data is then processed using Structural Equation Modeling with AMOS 3.0 software. The results show that perceived organizational support has a positive effect on individual readiness for change, and mindfulness mediates the direct effect of perceived organizational support on individual readiness for change. Implications and suggestions for future research are also given.
This paper aims to determine to extend to which leadership and communication influence employee performance in the KOTAKU Bandung program. Employees who are able to work well are the company’s most desirable resources in order to achieve company goals. Employee performance can be improved from a leader by setting a good example, paying attention to employees and always communicating well with employees at work, especially employees who behave less well. In this paper, it is also describe about leadership, communication and employee performance in the KOTAKU Bandung program. We employed a hybrid analytics method for descriptive and verification methods with qualitative and quantitative approaches. Questionnaires were used to collect data. Inferential statistics were used to analyze the data, data analysis made use of multiple regressions and Pearson’s correlation. The Statistical Package for Social Science was used to aid the analysis. A dataset of 57 respondents from employee in KOTAKU Bandung program. Data processing was carried out by analyzing correlation coefficients, coefficients of determination, and hypothesis testing. Main findings study demonstrate that (i) employee responses regarding leadership and communication were stated to be quiet good, (ii) employee reponses regarding employee performance are stated to be quite high, and finally (iii) leadership and communication have influence employee performance both partially and simultaneously in the KOTAKU Bandung program.
The increasingly rapid development of education in Indonesia requires strong involvement and engagement of lecturers, including in West Java. In reality, there are still some lecturers who have low involvement and engagement in education at their universities. This study examines the influence of proactive personality and emotional regulation on employee engagement, by considering the moderation of religiosity in this relationship pattern. expertise and knowledge in their field make them not focus on developing the quality of the campus they hold. The population of this study were Muslim lecturers who taught at universities in Bandung City, selected using the purposive sampling method, with 100 respondents. The data obtained was processed using Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study show that employee engagement can be influenced by proactive personality and emotional regulation, and this influence is stronger when the lecturer's level of religiosity is high. These findings provide important insights for understanding factors that influence employee engagement in academic contexts.
Organizations are currently seeking for ways to improve their performance in order to remain in the fierce competition in the business environment. In this regard, leadership plays a crucial role as they can shape employees’ behavior and attitude in the organization. This study is carried out to analyze and understand the relationship between servant leadership, work engagement, and job performance. It also aims to examine the mediating role of work engagement in the relationship between servant leadership and job performance. This study uses quantitative approach with the survey. The population of this study is employees of manufacturing companies in West Java, Indonesia, with a total number of samples of 115 respondents, which are chosen using purposive sampling. The data collection is done using a survey by distributing questionnaires to respondents online. The data analysis uses Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study indicate that servant leadership has a positive influence on both work engagement and job performance, while work engagement has a positive influence on job performance. In addition, this study also proved that work engagement is a mediator in the relationship between servant leadership and job performance. This study provides a fruitful contribution for managers or leaders of employees in manufacturing companies, such that they can foster employee performance through leading in a servant leadership style. This leadership style will be able to help employees to develop engagement in their work, and it will eventually increase their job performance.
This study aims to understand the predictors of firm performance, namely by examining the direct influence of transformational leadership, HRM digitalization, and organizational commitment. The sample which becomes the respondents of this study is the owners or managers of creative MSMEs in Bandung, West Java, with the number of samples of 125 respondents. The data is collected using survey method, namely by giving the questionnaires to the respondents. The data is analyzed using multiple linear regression analysis with SPSS 25 software. The findings prove that transformational leadership, HRM digitalization, and organizational commitment are able to predict firm performance, both partially and simultaneously.
Advances in technology and increasing business competition have caused many companies to revisit strategies in order to retain customers. Factors of satisfaction and loyalty are things that have always been the company's goal in obtaining growth. Therefore, understanding the factors that influence satisfaction and loyalty is important. This study was proposed to investigate the factors that can affect consumer satisfaction and loyalty to online application users in booking hotels. This research is a quantitative research using an explanatory research approach. The results show that the goodness of fit as a whole has met the feasibility of the model. Based on the results of the study, practically researchers can recommend the hospitality industry service platform to maintain the quality of Perceived Value and the application of Relational Quality to customers who directly come to the hotel by providing a respectful, empathetic, polite and mild attitude to help what customers need.
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 |