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Record W3047678193 · doi:10.61426/sjbcm.v7i3.1679

IMPACT OF COVID-19 PANDEMIC TO MEETINGS, INCENTIVES, CONFERENCES AND EXHIBITIONS (MICE) TOURISM IN RWANDA

2020· article· en· W3047678193 on OpenAlexaboutno aff
Pierre-Celestin Rwigema

Bibliographic record

VenueStrategic Journal of Business & Change Management · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsnot available
Fundersnot available
KeywordsTourismIncentivePandemicExhibitionQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)PopulationNonprobability samplingBusinessBusiness tourismEconomic growthSocioeconomicsMarketingGeographyMedicineEconomicsEnvironmental health

Abstract

fetched live from OpenAlex

Since the beginning of 2020 COVID-19 engulfed the world halting the daily activities. In a matter of weeks, the pandemic had threatened health and lives of millions of people worldwide. By the last quarter of the month of March 2020 several countries in the world including Rwanda had imposed travel restrictions and lockdown measures to combat COVID-19 pandemic. This led to unprecedented levels of mass commercial flight cancellations and travel restrictions, forcing millions to alter their travel plans. Both international and domestic tourists cancelled bookings in Rwanda and outbound tourism activities were also banned. Airlines had cancelled flights, while hotels were almost completely vacant. Consequently, tour operators were facing huge economic losses and employment cuts in Rwanda. According to the Minister for Trade and Industry, Soraya by July 21st 2020 Rwanda’s MICE (Meetings, Incentives, Conferences and Exhibitions) industry had been hit by a $48 million (over Rwf45 billion) loss as a result of the global Covid-19 crisis. The purpose of this paper was to discuss the impact of the COVID-19 pandemic on the Meetings, Incentives, Conferences and Exhibitions (MICE) tourism in Rwanda. The study covered a period of 7 months (December, 2019- July, 2020). The study adopted a descriptive survey design. 36 general managers of hotels offering MICE tourism for a period of three years from 2017-2020 in Kigali Province were targeted. A sample of 34 respondents was determined from this population using purposive sampling technique. Both primary and secondary data was collected. Primary data was collected using the questionnaire while for secondary data the study reviewed journals, historical records, newspaper articles, World Health Organization statistics, government data, and website materials on COVID-19 incidences in tourism. Data analysis was done with the aid of Statistical Package for Social Sciences (SPSS) Version 21. The study findings revealed that 58.8% of the respondents strongly agreed that COVID-19 created conditions and disruptions forcing socio-behavioural changes on societies . In addition, 76.5% of the respondents strongly agreed that MICE consumers in Rwanda had been seriously curtailed by the pandemic . Moreover, 64.7% of the respondents agreed that their hotel expectations of the right to unfettered mobility across national borders has been severely challenged by government responses to COVID-19, 35.3% . Furthermore, a combination of (82.4%) of the respondents agreed that closure of attractions and tourism facilities had negatively affected the MICE tourism . Lastly, 61.8% agreed that virtual events mainly served as a good substitute for recession-prone exhibitors and attendees during COVID-19 while 32.8% strongly agreed. A half of the respondents representing 50% also strongly agreed that travel restrictions on rights to visit friends and family had negatively impacted the MICE tourism . From the review of respondents, the study noted that MICE consumers had not only been affected in Rwanda alone but globally. In general, there was no doubt that the hospitality and tourism sector was operating at a loss. The study concluded that in Rwanda, COVID-19 had adversely impacted MICE tourism. Based on the study findings the study recommended to the Government of Rwanda to continue imposing measures to combat the pandemic. Since the end of the pandemic was not predetermined there was need to continuously address both on an on-going basis as the pandemic and its effects evolved over time and place and as a retrospect once the new hospitality and tourism in Rwanda to make the sector sustainable during and after the pandemic. Future studies can be carried in other districts of the country. Also, a study on MICE tourism preparedness in responding to the crisis and recovery of their enterprises can be carried out. Keywords: Meetings, Incentives, Conferences Exhibitions, COVID-19, Tourism CITATION: Rwigema, P. C. (2020). Impact of Covid-19 pandemic to Meetings, Incentives, Conferences and Exhibitions (MICE) tourism in Rwanda . The Strategic Journal of Business & Change Management, 7(3), 395 – 409.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.182
GPT teacher head0.376
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations20
Published2020
Admission routes1
Has abstractyes

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