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.
2021 · Kiros Tsegay · Hongzhong Fan · AM Priyangani Adikari
2022 · Kingsley Karunaratne Alawattegama
2017 · E.A.C.P. Karunarathne · Zhang Jing
2021 · Kiros Tsegay · Hongzhong Fan · Hailay Shifare
2021 · E.A.S.K. Ekanayake · E.A.C.P. Karunarathne
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 07:22 UTC — 22 Oct 2026 06:51 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 | 5 | 5 | 5/5 | 5/5 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 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 | 7 | 5 | 5/5 | 5/5 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 6 | 2 | 2/2 | 2/2 |
| 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 | 10 | 5 | 5/5 | 5/5 |
| 2022 | All selected publications | 4 | 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): 2026-10-21T07:22:43.905583+00:00 — 2026-10-22T06:51:16.751750+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 | 1 | 8 | 8/8 |
| 2018 | All selected publications | 0 | 8 | 8/8 |
| 2019 | All selected publications | 1 | 8 | 8/8 |
| 2020 | All selected publications | 0 | 8 | 8/8 |
| 2021 | All selected publications | 1 | 8 | 8/8 |
| 2022 | All selected publications | 2 | 8 | 8/8 |
| 2023 | All selected publications | 1 | 8 | 8/8 |
| 2024 | All selected publications | 6 | 8 | 8/8 |
| 2025 | All selected publications | 5 | 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 |
|---|---|
| 2017 | 2 |
| 2021 | 5 |
| 2022 | 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 | 8 | 12 | 20 | 8/8 | 1.5 | 1.0 | 75.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
Nowadays, the non-farm sector gives more attention and high expectations in reducing poverty in sub-Saharan African. Because participation of farm households in the none-farm sector out of their farm activities will play a great role to reduce poverty. Cross-sectional data were used to collect data in 2020 from farm household heads of 371 respondents with the mixed methodology to investigate the effect of demographic factors in none/off-farm economic activities on gender perspective in Ethiopia. In this study, we employ a Logistic regression model to explore the probabilities of household heads' participation in none/off-farm economic activities out of their farm. The result indicated, age and education level have a positive effect and statistically significant effect on increasing non-farm activities with the coefficients of 3.406, 1.956 respectively, confirmed that these variables should take into account in policy development to increase their impact on livelihood diversification. And Gender has a negatively significant on livelihood diversification. FHH is more participants in non-farm economic activities than MHH. Credit access does not contribute to increasing livelihood diversification instead; it contributes to agricultural specialization, not diversification. Surprisingly, family size has insignificant results in non-farm economic activities The outcome indicated it has its implications for the Ethiopian policy and strategy. The government should give more attention to the progressive aspects of non-farm economic activities to eradicate poverty. Whereas, decreasing its negative impact on poorer households by controlling obstacles of non-farm activities.
The objective of this paper is to identify the challenges of implementing and adopting an effective ERM system and to suggest alternative strategies that could be pursued as countermeasures to those challenges. This study is based on survey data gathered from 379 respondents representing 129 companies listed on the Colombo Stock Exchange of Sri Lanka. This study found that the lack of availability of information to make risk-based decisions; the need to ensure that all decisions are made within the organization’s risk tolerance level, and the lack of top management support for ERM implementation; are the most influencing challenges for business organizations that obstruct ERM effectiveness. This study suggests that organizations should promote a good corporate culture that fosters ERM supportive internal environment. It is also suggested that the support of the top management and their commitment to being corporative with the firms’ ERM function without making ERM is the sole responsibility of the finance people. Further, it is suggested that organizations have a designated position dedicated to overseeing the ERM function and providing executive leadership for its effective implementation.
With the technological advancements in the past few years in the mobile telecommunication industry, customer requirements and their behavioral patterns changed a lot. Implications of two of most popular such technological approaches which are independent from the service provider were discussed in this paper. Usually, firms have identified the value of maintaining a higher level of switching barriers since it is one kind of successful strategic aspects in mobile telecommunication. But, the importance of these strategies was challenged with the adoptions of new technologies. Therefore, to study its’ implication, data set was obtained by conducting a survey from randomly select mobile subscribers in Sri Lanka. Descriptive statistics, correlation analysis, t-test and factorial ANOVA test were used for the data analysis purpose. According to the analysis, it is revealed that these two technological advancements are weakened the level of switching barriers significantly. It may allow subscribers to switch service providers easily. On the other hand, subscribers with higher relationship age are having the highest switching barrier level even though they are users of those new technologies. But a significant difference among users and non-users has been identified through the study. Thus, policy makers are required to come up with new strategies to retain those subscribers within the network.
There is a high expectation that urban-rural linkage in general and the function of small towns, in particular, has a great role in livelihood diversification and poverty reduction in rural areas than sectoral development. However, the previous empirical studies give little attention to the function of small towns and the livelihood diversification of rural communities. We analyze the function of a small town and participating in non-farm economic activities from a rural farm household survey of 371 farmer household heads in Ethiopia. The data was analyzed using a logistic regression model and statistical description. The study found that rural households who have road access have likely participated in none-farm activities and it has positive and significant effects. Education and FHH has also a significant relationship with the function of a small town. Distance from the small town has a significant and positive impact on the non-farm economic activities of rural communities. Overall, benefits from the function of small towns such as the provision of road access, agricultural extension, financial credit services, administrative services, educational and health services are some of the provisions of a small town. Therefore, a comprehensive integrated urban-rural linkage strategy could empower rural farm smallholders to diversify their livelihoods through strengthening small town functions is mandatory. The role of small towns needs to be integrated into rural communities. Participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
As of 2020, the retail sector faced an existential challenge with rapid changes as one of the many sectors. The recent impact was noted due to the present COVID-19 pandemic throughout the world. Most customers have moved on with e-commerce platforms, while traditional customers still struggle with in-store shopping. This study was specifically aimed at the conventional customers who do in-store shopping in complexes. The objective of this study was to investigate the moderating effect of the demographic factors on post-purchase regret at malls. Two factors affecting post-purchase regret, namely, the number of alternatives forgone and the return process experience, were considered. Accordingly, the moderating effects of demographic factors of consumers who have purchased something from a shopping mall during the past two years were targeted for this. By conducting an online survey using a structured questionnaire, 383 responses were collected. Through the moderation effect analysis, the consumer career was identified as moderating variable for this relationship. The rest of the demographic factors considered for this study did not significantly moderate this relationship. The findings suggest that the number of alternatives in showcase must be limited with a sense of marketing. Further, the staff at the shop must provide proper guidance on the return process and related service by identifying loyal and non-loyal customers’ careers and lifestyles.
The objective of this paper is to identify the challenges of implementing and adopting an effective ERM system and to suggest alternative strategies that could be pursued as countermeasures to those challenges. This study is based on survey data gathered from 379 respondents representing 129 companies listed on the Colombo Stock Exchange of Sri Lanka. This study found that the lack of availability of information to make risk-based decisions; the need to ensure that all decisions are made within the organization’s risk tolerance level, and the lack of top management support for ERM implementation; are the most influencing challenges for business organizations that obstruct ERM effectiveness. This study suggests that organizations should promote a good corporate culture that fosters ERM supportive internal environment. It is also suggested that the support of the top management and their commitment to being corporative with the firms’ ERM function without making ERM is the sole responsibility of the finance people. Further, it is suggested that organizations have a designated position dedicated to overseeing the ERM function and providing executive leadership for its effective implementation.
There is a high expectation that urban-rural linkage in general and the function of small towns, in particular, has a great role in livelihood diversification and poverty reduction in rural areas than sectoral development. However, the previous empirical studies give little attention to the function of small towns and the livelihood diversification of rural communities. We analyze the function of a small town and participating in non-farm economic activities from a rural farm household survey of 371 farmer household heads in Ethiopia. The data was analyzed using a logistic regression model and statistical description. The study found that rural households who have road access have likely participated in none-farm activities and it has positive and significant effects. Education and FHH has also a significant relationship with the function of a small town. Distance from the small town has a significant and positive impact on the non-farm economic activities of rural communities. Overall, benefits from the function of small towns such as the provision of road access, agricultural extension, financial credit services, administrative services, educational and health services are some of the provisions of a small town. Therefore, a comprehensive integrated urban-rural linkage strategy could empower rural farm smallholders to diversify their livelihoods through strengthening small town functions is mandatory. The role of small towns needs to be integrated into rural communities. Participate in livelihood diversification strategies and achieve sustainable development goals by 2030 at large.
As of 2020, the retail sector faced an existential challenge with rapid changes as one of the many sectors. The recent impact was noted due to the present COVID-19 pandemic throughout the world. Most customers have moved on with e-commerce platforms, while traditional customers still struggle with in-store shopping. This study was specifically aimed at the conventional customers who do in-store shopping in complexes. The objective of this study was to investigate the moderating effect of the demographic factors on post-purchase regret at malls. Two factors affecting post-purchase regret, namely, the number of alternatives forgone and the return process experience, were considered. Accordingly, the moderating effects of demographic factors of consumers who have purchased something from a shopping mall during the past two years were targeted for this. By conducting an online survey using a structured questionnaire, 383 responses were collected. Through the moderation effect analysis, the consumer career was identified as moderating variable for this relationship. The rest of the demographic factors considered for this study did not significantly moderate this relationship. The findings suggest that the number of alternatives in showcase must be limited with a sense of marketing. Further, the staff at the shop must provide proper guidance on the return process and related service by identifying loyal and non-loyal customers’ careers and lifestyles.
Nowadays, the non-farm sector gives more attention and high expectations in reducing poverty in sub-Saharan African. Because participation of farm households in the none-farm sector out of their farm activities will play a great role to reduce poverty. Cross-sectional data were used to collect data in 2020 from farm household heads of 371 respondents with the mixed methodology to investigate the effect of demographic factors in none/off-farm economic activities on gender perspective in Ethiopia. In this study, we employ a Logistic regression model to explore the probabilities of household heads' participation in none/off-farm economic activities out of their farm. The result indicated, age and education level have a positive effect and statistically significant effect on increasing non-farm activities with the coefficients of 3.406, 1.956 respectively, confirmed that these variables should take into account in policy development to increase their impact on livelihood diversification. And Gender has a negatively significant on livelihood diversification. FHH is more participants in non-farm economic activities than MHH. Credit access does not contribute to increasing livelihood diversification instead; it contributes to agricultural specialization, not diversification. Surprisingly, family size has insignificant results in non-farm economic activities The outcome indicated it has its implications for the Ethiopian policy and strategy. The government should give more attention to the progressive aspects of non-farm economic activities to eradicate poverty. Whereas, decreasing its negative impact on poorer households by controlling obstacles of non-farm activities.
The banking sector in Sri Lanka has been portrayed by significant changes in the past few decades. It is widely perceived that competition in the Sri Lankan banking sector has improved since the introduction of the financial sector reforms in the 1990s. By applying Panzar-Rosse (PR) approach to test the degree of competitiveness, this paper assesses the validity of this claim in the context of the Sri Lankan banking sector during 1996-2018. The sample covers a broader set of bank-level panel data of the whole commercial banking sector which comprised of 25 licensed commercial banks. The EGLS procedure applied in this study revealed that during the stated period, the Sri Lankan banking sector had been moderately competitive. Further analysis also disclosed that there is no significant difference between the state-owned banks and private banks regarding their degree of competitiveness, as well as their temporal dynamics. Another striking observation revealed in this analysis is the lower level of competitiveness among foreign banks compared to the competitiveness of local banks. The Competitiveness of the Sri Lankan banking sector however is characterized by non-price competition, as on many occasions the interest rate depends on government policies. Hence, this study provides new insight into the nature of financial sector competitiveness in underdeveloped countries. The outcome of the research implies the necessity of attempts of all banks towards re-aligning their strategies to attract and retain customers. This would be the major challenge that banks face in accomplishing a higher level of competition in the banking industry in the future.
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 |