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: 160 / 160 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: 22 Oct 2026 01:00 UTC — 30 Oct 2026 23:26 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.
142 / 160 with data · 18 missing or unmatched. Percentages use all 160 selected publications.
142 / 160 with data · 18 missing or unmatched. Percentages use all 160 selected publications.
160 / 160 with data · 0 missing or unmatched. Percentages use all 160 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 160 | 160 | 160/160 | 160/160 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 455 | 160 | 160/160 | 160/160 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1044 | 160 | 160/160 | 160/160 |
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 160 / 160 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): 2026-10-22T01:00:52.714399+00:00 — 2026-10-30T23:26:22.624355+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 | 160 | 160/160 |
| 2018 | All selected publications | 4 | 160 | 160/160 |
| 2019 | All selected publications | 25 | 160 | 160/160 |
| 2020 | All selected publications | 92 | 160 | 160/160 |
| 2021 | All selected publications | 150 | 160 | 160/160 |
| 2022 | All selected publications | 179 | 160 | 160/160 |
| 2023 | All selected publications | 230 | 160 | 160/160 |
| 2024 | All selected publications | 185 | 160 | 160/160 |
| 2025 | All selected publications | 133 | 160 | 160/160 |
| 2026 | All selected publications | 45 | 160 | 160/160 |
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 |
|---|---|
| 2019 | 160 |
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 Finance & Banking Studies SSBFNET | 35 | 96 | 180 | 35/35 | 2.74 | 1 | 62.9 | 35/35 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 125 | 359 | 864 | 125/125 | 2.87 | 1 | 72.8 | 125/125 · 100.0% |
* Percentage among publications with a known citation count.
The aim of this research is to examine the effect of the customer loyalty program on customer satisfaction and its impact on customer loyalty. This program is developed by the company in order to increase customer satisfaction. Optimal customer satisfaction will be able to create customer loyalty. For a company, customer loyalty will guarantee the company’s income to be constantly optimal. The research is conducted using the survey method involving 110 customers and 100 feasible data used. The sampling technique used is judgment sampling and data collected through the questionnaire. It uses SEM in examining hypotheses assisted by software AMOS version 20.0. Member card significantly affects customer satisfaction, while discount promo has no significant effect on customer satisfaction and it also doesn’t affect customer loyalty. Member cards and discount promo have a direct effect on customer loyalty. In general, it can be understood that the customer loyalty program applied by Alfamart either member card or discount promo affects customer satisfaction and has an impact on customer loyalty. This research gives input to retail business managers in managing customer satisfaction through the proper development of customer loyalty programs.
The main purpose of this study is to investigate inflation rate and its impact on the growth rate or to GDP growth for Eurozone countries, using panel data for the period 1997-2017, on an annual basis with a total of 257 observations. For conducting the study, and achieving results, a multiple linear regression model with the least squares regression is used. Moreover, multiple linear regression analysis has been applied in order to investigate whether Inflation rate, as an independent variable, has any significant impact on economic growth. Consequently, in order to test the data used in the model we have applied diagnostic tests, such as Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The tests’ results give us strong indications that the model has no relation between of serial correlation and there is no heteroskedasticity either. The study conducted shows results generated from the model, and according to the econometric results indicate that Inflation rate has positive impact on the economic growth rate for euro area.
The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.
The contribution of organizational culture to the organization which includes the uniqueness of values, behavior, and psychology is needed by the organization. It also includes trust, experience, ways of thinking, and organizational expectations. Improving employee behavior into organizational citizenship behavior is needed by every organization. To bring OCB to employees, a well-formed commitment is needed. This study uses a quantitative approach to test 3 hypotheses using path analysis to see the role of mediation. Respondents numbered 169 in this study. The results found in this study are that mediators play a maximum role between organizational culture and OCB.
Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare.
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.
This research aims to describe the process and reveal the origin of social conflict in the incoming oil palm investment. Twelve Subjects are involved in this research, located in Laman Satong Village, Ketapang District, Kalimantan Barat Province, Indonesia in February-May 2019. The results showed that a threat to society's identity meaning which depends on the forest was an origin of social conflict. The incoming of oil palm investment was considered as a threat because of the limited formal communication channel, through socialization meetings This limitation indicated to slow down their stock of knowledge renewal, that related to their future fate. Thus, it creates worries that caused resistance and internal community conflict itself. Academically this research contributes to establishing the social conflict theory and stock of knowledge concept in terms of conflict in the incoming of oil palm investment.
This study sought to establish the influence of understanding, stakeholder requirements, good rapport with stakeholders, healthy competition with competitors, conflict resolution, and effective communication on organizational performance among insurance companies in Kenya. Positivism research philosophy was adopted for the study. Descriptive and explanatory cross-sectional research designs were used. Data analysis was conducted using descriptive statistics and inferential analysis. The study concluded as follows: (i) Understanding stakeholder requirements, creating and maintain good rapport with stakeholders, healthy competition with competitors, conflict resolution and effective communication were deployed to a moderate extent in insurance companies in Kenya, (ii) There was a strong positive correlation between organisation performance, understanding stakeholder requirements, good rapport with stakeholders, conflict resolution, and effective communication, (iii) There was a weak positive correlation between organisation performance and healthy competition, (iv) Understanding stakeholder requirements, creating and maintain good rapport with stakeholders, healthy competition with competitors, conflict resolution and effective communication had significant influence on the performance of insurance companies in Kenya. (v) Relationship management has a significant influence on organizational performance.
This study aims to examine the implementation of diversity in different work teams. The observed aspects include the process of recruitment, cooperation between members, educational background, and division of workload. This research using a qualitative approach, interviews were conducted with 20 informants from 6 work teams. This study concludes that (i) the recruitment process was the absolute right of the leadership, (ii) Some work teams need members who have an educational background that is appropriate to their field of work, (iii) several junior lecturers complained about the quantity of work that was not comparable to other team members.
Though it is called corporate social responsibility (CSR), it is the people in the organization particularly, top managers who develop and get implemented corporate social policies. Organization behavior is the reflection of their top managers. However, exploration of the role of top managers in spreading CSR in the organization is scant in the literature. The purpose of this paper is to explore the impact of top managers’ CSR perceptions on firm-level CSR in Ethiopia. Structured questionnaires were used to collect data from 294 executive managers of four sectors, namely textile, food, bank, and floriculture industries. Multiple hierarchical regression and process macro 3.3 were employed to analyze the data with the aid of SPSS. The analysis reveals that top managers’ CSR perception is a significant predictor of firm-level CSR behaviors. The result also shows that corporate ethical culture fully mediates the relationship between top managers’ CSR perception and organization CSR. Moreover, transformational leadership has a moderating effect between the direct top managers’ CSR perception and firm-level CSR relationship.
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 |