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: 6 / 6 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 07:32 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 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 | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 6 / 6 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): 2026-10-21T07:22:46.034445+00:00 — 2026-10-23T07:32:04.193055+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 | 6 | 6/6 |
| 2018 | All selected publications | 1 | 6 | 6/6 |
| 2019 | All selected publications | 2 | 6 | 6/6 |
| 2020 | All selected publications | 1 | 6 | 6/6 |
| 2021 | All selected publications | 1 | 6 | 6/6 |
| 2022 | All selected publications | 1 | 6 | 6/6 |
| 2023 | All selected publications | 1 | 6 | 6/6 |
| 2024 | All selected publications | 2 | 6 | 6/6 |
| 2025 | All selected publications | 2 | 6 | 6/6 |
| 2026 | All selected publications | 0 | 6 | 6/6 |
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 |
|---|---|
| 2016 | 1 |
| 2022 | 2 |
| 2023 | 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 | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 0 | 11 | 5/5 | 0.0 | 0 | 0.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
In the wake of the pandemic, countries worldwide have strived to revive their tourism sectors, with Thailand’s industry playing a crucial economic role. Grounded in Protection Motivation Theory (PMT), this study examines key psychological determinants of domestic travel intentions, including threat severity, response efficacy, and psychological resilience. Data from 509 Thai participants were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results reveal that heightened threat perceptions significantly weaken travel intentions, while confidence in protective measures enhances willingness to travel. Psychological resilience mitigates perceived threats and strengthens the effect of response efficacy on travel intention. Surprisingly, anxiety did not significantly impact travel intentions. This study offers a holistic perspective on travelers' cognitive and emotional responses to health crises. The findings provide valuable insights for policymakers and stakeholders to strengthen public resilience, foster trust in safety measures, and support sustainable recovery in the tourism sector.
The tourism industry is a substantial contributor to the South African economy. The main aim of this study is to analyse the tourism industry’s performance during the Covid-19 pandemic, with specific reference to tourism accommodation income, and to shed light on the recovery prospects of the tourism industry and the overall South African economy. The study followed a descriptive research design and quantitative method using secondary data obtained from Statistics South Africa. The data covers a span of over 16 years, from January 2007 to May 2023. Results indicated that the economic impact of the COVID-19 pandemic on the tourism industry was marked by a drastic drop in total income at the height of the pandemic, which coincided with similar performance of the overall economy. The tourism industry as well as the overall economy showed a V-shape recovery with a negative trendline suggesting their recovery potential and the need for sustained efforts by industry players and policymakers for full recovery in the medium term. Among the strategies for full recovery are diverse offerings by tourist accommodation providers, intensified digital marketing campaigns and providing exceptional service experiences.
Tour operators have ensured the success of the Kenyan tourism sector, poised to contribute to achieving key government economic policies like the Tourism Agenda 2018-2022, the National Tourism Blueprint 2030, and the Big-Four Agenda. However, due to the volatility of the tourism industry, stiff competition, rigid tourism policies, and pandemics, tour operators’ performance has recorded a 2% steady decline since 2011. Therefore, this paper explores the upscaling of performance using a differentiation strategy among tour operator companies in Nairobi City County. The study followed a descriptive design approach, with the balanced scorecard and Porter’s generic strategies forming the theoretical basis. Fifteen (15) company owners and 210 managers participated in the study. Data were collected using structured questionnaires and interviews. Stratified simple random sampling was used to sample respondents from the companies while purposive sampling was used to select company owners. Data collected were analyzed in SPSS (Ver.26) using descriptive statistics to infer variable characteristics. Inferential statistics; Pearson correlation, ANOVA, and simple linear regression were used to detect the strength of the relationship and test the hypothesis. Correlation analysis revealed a strong positive relationship between differentiation strategy and organizational performance (r=0.77, P=0.000), leading to the rejection of the null hypothesis. Regression analysis revealed an adjusted R2(0.602) indicating that differentiation strategy explains 60.2% of organizational performance’s variation (b=0.594, P=.000). The study recommends that tour operator companies should develop innovative packages based on place and price and significantly invest in R&D to enhance a strong brand for optimal performance. This study provides policymakers with an avenue to scrutinize levels of organizational performance using a strategic management approach.
Sustainable tourism has emerged as a growing tourism facet in recent years, gaining acceptance among tourism developers and stakeholders; as a tourism development model that is economically viable, socially acceptable, and environmentally friendly. Nonetheless, tourism development faces numerous challenges, including displacement of people, cultural commercialization, organic dilapidation, and economic dependency resulting from social-economic development. As a result, many countries have begun to embrace long-term sustainable tourism development goals, an essential component of achieving Vision 2030. Therefore, this paper propagates the discussions surrounding corroboration approaches, tourism infrastructure, stakeholders' role, and government policies' influence on sustainable tourism development. To support its thesis, the paper develops a conceptual framework to guide tourism practitioners and other stakeholders in understanding and dissecting sustainable tourism models and knowledge. The findings emphasize stakeholders’ collaboration framework, the need for adequate and supportive tourism infrastructure, and the foundational basis of public-private initiatives to enhance tourism growth.
Safranbolu is typical ottoman city with classical wooden houses, buildings and streets. With these characteristics Safranbolu located in world heritage list of UNESCO. Tourism is one of the most important activities in Safranbolu economy. Safranbolu is competing with its rivals to attract more visitors and earn more income from tourism. Though Safranbolu hosts many visitors, we can’t say that it seizes the opportunity to use its potential. Most probably, if Safranbolu uses all of its potential city can host more visitors and earn more from tourism. Our aim is to reveal strong and weak sides of Safranbolu city, opportunities and threads in this competition. By this way, Safranbolu can activate its potential and get more profit from tourism. To this aim, we conducted a survey to owner and administrators of Safranbolu touristic enterprises and analyses the results. We revealed interesting results about Safranbolu Tourism sector.
In the wake of the pandemic, countries worldwide have strived to revive their tourism sectors, with Thailand’s industry playing a crucial economic role. Grounded in Protection Motivation Theory (PMT), this study examines key psychological determinants of domestic travel intentions, including threat severity, response efficacy, and psychological resilience. Data from 509 Thai participants were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results reveal that heightened threat perceptions significantly weaken travel intentions, while confidence in protective measures enhances willingness to travel. Psychological resilience mitigates perceived threats and strengthens the effect of response efficacy on travel intention. Surprisingly, anxiety did not significantly impact travel intentions. This study offers a holistic perspective on travelers' cognitive and emotional responses to health crises. The findings provide valuable insights for policymakers and stakeholders to strengthen public resilience, foster trust in safety measures, and support sustainable recovery in the tourism sector.
The tourism industry is a substantial contributor to the South African economy. The main aim of this study is to analyse the tourism industry’s performance during the Covid-19 pandemic, with specific reference to tourism accommodation income, and to shed light on the recovery prospects of the tourism industry and the overall South African economy. The study followed a descriptive research design and quantitative method using secondary data obtained from Statistics South Africa. The data covers a span of over 16 years, from January 2007 to May 2023. Results indicated that the economic impact of the COVID-19 pandemic on the tourism industry was marked by a drastic drop in total income at the height of the pandemic, which coincided with similar performance of the overall economy. The tourism industry as well as the overall economy showed a V-shape recovery with a negative trendline suggesting their recovery potential and the need for sustained efforts by industry players and policymakers for full recovery in the medium term. Among the strategies for full recovery are diverse offerings by tourist accommodation providers, intensified digital marketing campaigns and providing exceptional service experiences.
Batu is the most popular destination in East Java and even in Indonesia. Batu continues to develop its tourism potential by developing tourist villages in the Batu area. Tourism villages have become something new in village development by attracting the flow of tourists to rural areas This study will analyze how the quality of service at Brakseng Tourism in Batu, East Java, Indonesia. In knowing the perceptions of consumers (visitors) of Brakseng tourism, researchers used SERQUAL analysis. Based on the calculation of the customer satisfaction index, the visitors to Brakseng have a high level of satisfaction. Safety is a dimension that needs to get the most attention because it is in quadrant A. Attributes in quadrant A are considered important attributes and are a priority and affect user satisfaction. The management is obliged to allocate its resources to improve the performance of the attributes that fall into this quadrant.
Tour operators have ensured the success of the Kenyan tourism sector, poised to contribute to achieving key government economic policies like the Tourism Agenda 2018-2022, the National Tourism Blueprint 2030, and the Big-Four Agenda. However, due to the volatility of the tourism industry, stiff competition, rigid tourism policies, and pandemics, tour operators’ performance has recorded a 2% steady decline since 2011. Therefore, this paper explores the upscaling of performance using a differentiation strategy among tour operator companies in Nairobi City County. The study followed a descriptive design approach, with the balanced scorecard and Porter’s generic strategies forming the theoretical basis. Fifteen (15) company owners and 210 managers participated in the study. Data were collected using structured questionnaires and interviews. Stratified simple random sampling was used to sample respondents from the companies while purposive sampling was used to select company owners. Data collected were analyzed in SPSS (Ver.26) using descriptive statistics to infer variable characteristics. Inferential statistics; Pearson correlation, ANOVA, and simple linear regression were used to detect the strength of the relationship and test the hypothesis. Correlation analysis revealed a strong positive relationship between differentiation strategy and organizational performance (r=0.77, P=0.000), leading to the rejection of the null hypothesis. Regression analysis revealed an adjusted R2(0.602) indicating that differentiation strategy explains 60.2% of organizational performance’s variation (b=0.594, P=.000). The study recommends that tour operator companies should develop innovative packages based on place and price and significantly invest in R&D to enhance a strong brand for optimal performance. This study provides policymakers with an avenue to scrutinize levels of organizational performance using a strategic management approach.
Sustainable tourism has emerged as a growing tourism facet in recent years, gaining acceptance among tourism developers and stakeholders; as a tourism development model that is economically viable, socially acceptable, and environmentally friendly. Nonetheless, tourism development faces numerous challenges, including displacement of people, cultural commercialization, organic dilapidation, and economic dependency resulting from social-economic development. As a result, many countries have begun to embrace long-term sustainable tourism development goals, an essential component of achieving Vision 2030. Therefore, this paper propagates the discussions surrounding corroboration approaches, tourism infrastructure, stakeholders' role, and government policies' influence on sustainable tourism development. To support its thesis, the paper develops a conceptual framework to guide tourism practitioners and other stakeholders in understanding and dissecting sustainable tourism models and knowledge. The findings emphasize stakeholders’ collaboration framework, the need for adequate and supportive tourism infrastructure, and the foundational basis of public-private initiatives to enhance tourism growth.
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 |