Perception, Reaction, and Future Development of the Influence of COVID-19 on the Hospitality and Tourism Industry in China

The present study examined the perception, reaction (i.e., possible measures), and future development from the perspectives of hotel and tourism practitioners and experts to investigate the influence of coronavirus disease 2019 (i.e., COVID-19) on the hospitality and tourism industry in China. After conducting 58 in-depth interviews among hotel and tourism practitioners and experts, feasible and practical measures were proposed to reduce such influence and predict the future development of China’s hospitality and tourism industry. Findings indicate that the influence of COVID-19 on the industry is perceived mainly through the pandemic’s economic and social effects. Possible measures that can be adopted for the recovery of China’s hospitality and tourism industry include the following aspects: government financial support, employee relationship management and electronic (e)-training, business marketing management, and industry co-operation network. A Perception-Reaction-Predication (PRP) crisis model is also proposed.

Big Data Mining Method of Marketing Management Based on Deep Trust Network Model

Through big data mining, enterprises can deeply understand the consumer preferences, behavior characteristics, market demand and other derived data of customers, so as to provide the basis for formulating accurate marketing strategies. Therefore, this paper proposes a marketing management big date mining method based on deep trust network model. This method first preprocesses the big data of marketing management, including data cleaning, data integration, data transformation and data reduction, and then establishes a big data mining model by using deep trust network to realize the research on the classification of marketing management data. Experimental results show that the proposed method has 99.08% accuracy, the capture rate reaches 88.11%, and the harmonic average between the accuracy and the recall rate is 89.27%, allowing for accurate marketing strategies.

Analisis Kelayakan Usaha Ternak Ayam Arab Petelur Di Desa Leppangang Kecamatan Patampanua Kabupaten Pinrang

Penelitian ini bertujuan 1) untuk mengetahui besar biaya dan pendapatan rata-rata peternak dalam usaha ternak ayam arab petelur di Desa Leppanggang Kecamatan Patampanua Kabupaten Pinrang. 2) untuk mengetahui tingkat kelayakan usaha ternak ayam arab petelur ditinjau dari aspek finansial. 3) untuk menentukan tingkat kelayakan usaha ternak ayam arab petelur ditinjau dari aspek nonfiansial : aspek pemasaran, manajemen, teknis, hukum, sosial dan lingkungan. Jenis data dalam penelitian ini ada 2 yaitu data kualitatif dan data kuntitatif dan teknik pengumpulan data yang digunakan yaitu metode observasi, kuesioner, dan wawancara serta sumber data yang digunakan yaitu sumber data primer dan sekunder. Analisis data yang digunakan dalam penelitian ini adalah Statsitik deksriptif dan skala likert. Hasil penelitian menunjukkan bawah pendapatan rata-rata peternak ayam arab petelur senilai Rp. 9.200.644/ bulan, Tingkat kelayakan usaha beternak ayam arab petelur ditinjau dari analisis penerimaan atas biaya ( R/C Rasio) diperoleh sebesar 2,7 hal tersebut manandakan bahwa usaha tersebut termasuk kedalam kategori Layak karena hasil R/C Ratio >1, sehingga dapat dikatakan usaha tersebut Layak untuk di kembangka dan Layak secara Finansial, Sedangkan berdasarkan hasil analisis tingkat kelayakan usaha ternak ayam arab petelur ditinjau dari aspek pemasaran, manajemen, teknis, hukum, sosial dan lingkungan, maka hasil penelitian menunjukkan secara kualitatif, hasil yang diperoleh rata-rata menunjukkan pada kategori Setuju sehingga secara kualitatif masuk kedalam kategori Layak secara Nonfinansial. This study aims 1) To determine the cost and average income of farmers in the laying hens business in Leppanggang Village, Patampanua District, Pinrang Regency. 2) To determine the level of feasibility of laying hens in terms of financial aspects. 3) To determine the feasibility level of laying hens in terms of non-financial aspects: marketing, management, technical, legal, social and environmental aspects. There are 2 types of data in this study, namely qualitative data and quantitative data and the data collection techniques used are observation, questionnaire, and interview methods and the data sources used are primary and secondary data sources. Analysis of the data used in this study is descriptive statistics and Likert scale. The results showed that the average income of laying arab chicken breeders was Rp. 9,200,644/month, the feasibility level of raising laying hens in terms of revenue analysis on costs (R/C Ratio) is 2.7, which indicates that the business is included in the Eligible category because the results of the R/C Ratio are >1, so it can be said that the business is feasible to be developed and financially feasible, while based on the results of the analysis of the feasibility level of laying arab chickens in terms of marketing, management, technical, legal, social and environmental aspects, the results of the study show qualitatively, the results obtained are average. The average indicates the Agree category so that qualitatively it is included in the Non-financially Eligible category.

How tourist information drives promotional efforts: A case study of the Greater Miami Convention & Visitors Bureau

This paper aims to analyze how tourist information generated by market research drives destination management and marketing organizations’ promotional efforts, expanding research about tourist information and the destination management and marketing organization's (DMMO) role. The focus is on describing the Greater Miami Convention & Visitors Bureau's (GMCVB) marketing management that defines Miami/FL as a tourist destination. In this descriptive case study, the authors conducted bibliographic and documentary research and semi-structured interviews with the GMCVB. The results demonstrate the influence of information on the GMCVB's marketing management through four topics: Miami's image, the GMCVB's corporate structure, some GMCVB's initiatives, and the marketing campaigns. In conclusion, the study suggests that data collection through market research should be destination management and marketing organizations’ primary concern since information is the asset that will guide all their functions, strategies, and activities.