Number Of Restaurants Research Articles

Analysis of the Influence of the Tourism Sector on the Level of Labor Absorption in Central Lombok Regency 2002-2022

This study aims to determine the influencenumber of hotels, number of tourists, number of tourist attractions, and number of restaurants on the level of labor absorption in Central Lombok Regency both simultaneously and partially. This study uses secondary data taken from the official website of the Central Statistics Agency of Central Lombok Regency and the Culture and Tourism Office in 2002-2022. This study uses a data analysis method in the form of multiple linear regression analysis using the SPSS application as an analysis tool. The results of this study indicate that the variables of the number of hotels, number of tourists, number of tourist attractions, and number of restaurants simultaneously affect the level of labor absorption in Central Lombok Regency. Partially, the variable number of hotels has a negative and significant effect, the number of tourists has a negative and insignificant effect, the number of tourist attractions has a positive and insignificant effect and the number of restaurants has a positive and significant effect on the level of labor absorption in Central Lombok Regency in 2002-2022.

Adaptive Strategies: Algorithmic Analysis of Pre- and Post-Pandemic Manager-Frontline Employee Communication Model in Restaurants

The aim of this study is to determine the impact of the COVID-19 pandemic on an independent restaurant chain in Puebla, Mexico, through longitudinal censuses with employees who had direct contact with diner guests (frontline employees) in 2019 and 2023. The survey data was analyzed through the algorithm Synthetic Minority Over-sampling Technique (SMOTE) to balance sample sizes and Information Gain to determine the dependence between the study variables. The results revealed the health crisis has led to changes in pivotal factors that drove better performance from frontline employees and managers in restaurants in Mexico. After the pandemic, frontline employees began to favor standard compliance due to the reinforcement of hygiene protocols. However, there are implications for the structure of teams and work styles on account of the decline in the number of frontline employees and the creation of multifunctional positions. Regarding the manager's factors, Linear Communication, which consists of providing clear and timely information, has become more relevant. While, there has been a decrease in Dynamic Communication oriented towards dialogue and Productive Communication focused on participation and the achievement of objectives. COVID-19 has accentuated the vulnerability of female frontline employees, who, since the pandemic, occupy multifunctional positions; the number of employees has decreased in greater proportion than the number of restaurants that have closed, impacting team dynamics; the most affected restaurants are located in automotive industrial parks, while restaurants in tourist or commercial areas have managed to maintain their workforce. The selected independent restaurant chain has focused on the functional aspects of the restaurant, as denoted by their current transactional leadership style and hierarchical organizational culture. However, there is an important theoretical implication related to the post-pandemic context, characterized by the presence of multifunctional roles and the pressure to meet customer service standards. Frontline employees have adopted individualistic behaviors, negatively impacting collaborative teamwork. These finding challenges existing literature that often emphasizes the positive aspects of employee empowerment and multifunctionality; it suggests that, under certain conditions, these factors may inadvertently hinder team cohesion and collaborative efforts. This study highlights the need to capitalize on Mexican restaurants by not only valuing the strategies from senior management but also by incorporating interpersonal perspectives from frontline employees to improve the organization in procedural and relational terms to adapt to future crises. Doi: 10.28991/ESJ-2024-08-05-021 Full Text: PDF

Analyzing the impact of tourism on Gross Regional Domestic Product (GRDP) in Central Java Province

Indonesia is rich in natural resources, culture, and diversity in its social activities. This makes tourism a sector with potential as an economic booster. Central Java Province, in particular, is one of the provinces with a diverse and numerous array of tourist destinations. This diversity attracts both local and international tourists. Therefore, this research was conducted to determine the extent of the impact of the tourism sector on the Gross Regional Domestic Product (GRDP). The analysis method used is multiple linear regression with a 25-year time series data covering the number of tourist attractions, number of tourists, number of hotel accommodations, number of restaurants and eateries, and tourism sector investments as independent variables, and GRDP as the dependent variable. The results show that the number of tourist attractions and tourists has a positive and significant impact, while the number of hotel accommodations, restaurants, and eateries has a positive but not significant impact. Additionally, investment in the tourism sector has a negative and significant impact.

Pengaruh Kualitas Produk dan Kualitas Pelayanan Terhadap Kepuasan Pelanggan Mie Gacoan Galuh Mas Karawang

Nowadays, many culinary businesses have emerged with various characteristics and uniqueness, accompanied by the number of restaurants that continue to appear, which can be a threat as competition becomes increasingly fierce. This research was carried out with the aim of evaluating the impact of product and service quality on customer satisfaction at Mie Gacoan Galuh Mas Karawang. The research approach used was quantitative with Purposive Sampling, involving 96 respondents who were customers of the restaurant, selected using the Lemeshow formula. Hypothesis testing and multiple linear regression analysis to interpret data. From the research results, it is proven that product quality (X1) and service quality (X2) have a significant impact on customer satisfaction at Mie Gacoan Galuh Mas Karawang. In addition, simultaneously, (X1) and (X2) are also very significant for increasing customer satisfaction (Y). Data analysis shows that the Adjusted R Square value reached 0.763, indicating that 76.3% of the variation in customer satisfaction at Mie Gacoan Galuh Mas Karawang can be explained by the variables of product quality and service quality provided.

Impact of sudden public crises on spatial distribution patterns and driving factors of the urban catering industry: a case study of Shanghai’s catering POI data before and after COVID-19

ABSTRACT This study uses Shanghai to explore the effects of the COVID-19 pandemic on the spatial distribution patterns and driving factors of the urban catering industry. Through quantitative analysis of restaurant point-of-interest data and influencing factors in Shanghai’s main urban area from 2016 to 2022 using geographic information technology, machine learning, and spatial econometric models, this study predicts spatial changes in the catering industry. The number of restaurants in Shanghai’s main urban area continuously decreased from 2016 to 2022, with a significant pre-pandemic decline. The catering industry in this area has a significant spatial correlation in the spatial distribution, showing a pattern of “one core dominance with multiple cores coexisting,” with Jing’an and Huangpu Districts having the highest densities, which is expected to continue. Target markets remain a decisive factor in restaurant location selection post-COVID. Restaurant aggregation is most favorable when the population density is between 0 –50,000 people/km2, GDP is between 0–20 billion yuan/km2, housing prices are between 20,000 –130,000 yuan/m2, school density is between 0–20/km2, hospital density is between 0–10/km2, and attraction density is between 0–40/km2. Transportation conditions have no apparent threshold; the more developed the transportation, the more favorable the conditions for the catering industry. Post-COVID-19, areas with high housing prices and around tourist attractions are less likely to attract many restaurants. Areas around hospitals maintain restaurant aggregation, although this will decrease. Areas around schools will become popular for restaurants in the future.

Analysis of the Influence of Product Quality, Service Quality, and Sales Promotion on Purchasing Decisions and Consumer Loyalty (A Case Study on Dunkin’ Indonesia Consumers)

The number of restaurant and franchise companies in Indonesia makes people more selective in choosing products that suit what they want. In this case, companies are required to be careful in developing marketing strategies in order to spur competitiveness to win market competition. Therefore, this research tries to find out the influence of product quality, service quality, and sales promotion on purchasing decisions that have an impact on consumer loyalty and strategies to improve Dunkin’ consumer purchasing decisions. The research’s methodology is the Structural Equation Modeling (SEM) method and SWOT analysis with a sample size of 100 responders. The outcomes of this research show that product quality has a positive and significant effect on purchasing decisions, service quality cannot be proven because it is excluded from the research model, sales promotion has a negative and insignificant effect on purchasing decisions, and purchasing decisions have a positive and significant effect on consumer loyalty. The simultaneous equation obtained is Y1 = 0.367 X1 + (-0.024) X3 + Z3 and Y2 = 0.117 X1 + (-0.008) X3 + Z4. The strategy obtained from the SWOT analysis outcomes and can be applied by Dunkin’ is to implement the W-O strategy which consists of: (1) Dunkin’ can conduct market research to find the right target market and adjust their sales promotion strategy to the preferences of that target market; (2) Dunkin’ can take advantage of technology and digitalization to increase customer convenience and strengthen brand engagement.

Application of Negative Binomial Regression Model in West Java Tourism

Tourism is the most important sector for potential areas. One province in Indonesia that has quite potential is West Java. To be able to increase this potential, it is necessary to increase the number of tourists. This research aims to increase the number of visitors through several factors that are thought to be influential, namely the number of star hotels, number of stalls, and number of restaurants. The method used to determine the relationship between the number of visitors and these factors is regression. Because the research data is in the form of count data, it uses the Poisson distribution. If the data indicates overdispersion, it can be modeled using a Negative Binomial regression model as a comparison. The results obtained state that the Negative Binomial regression model is better than the Poisson regression model. Using the Negative Binomial regression model, it is found that increasing the number of tourists can be achieved by increasing the number of star hotels and number of restaurants. However, the number of stalls must be reduced so that visitors can increase. Thus, the aspect that must be addressed is to disband illegal stalls and increase the number of hotels and restaurants.

Analisis Jumlah Wisatawan Nusantara, Jumlah Wisatawan Mancanegara, Tingkat Hunian Hotel dan Jumlah Restoran terhadap Pendapatan Asli Daerah di Kabupaten Magelang

This research aims to analyze the influence of the number of domestic tourists, the number of foreign tourists, hotel occupancy rates, and the number of restaurants on local revenue in Magelang Regency. The research method used is multiple linear regression using the Eviews 12 program, using data from the Central Statistics Agency of Magelang Regency and BPS Central Java from 2008 to 2021. The results of the research show that the number of domestic tourists, the number of foreign tourists, and the hotel occupancy rate are not has a significant influence on local revenue, while the number of restaurants has a significant influence on local revenue in Magelang Regency. In conclusion, the important role of restaurants in increasing regional income through the tourism sector. Keywords: Number of Indonesian Tourists, Number of Foreign Tourists

Determination of Labor Absorption on Tourism Sector in Denpasar City

This research aims to show whether the dependent variable, namely Labor Absorption in the Tourism Sector, is influenced by the independent variables (Number of Tourists, Number of Tourist Attractions, Number of Hotels, and Number of Restaurants). This research was conducted using secondary data and time series with a time period of 15 years, namely from 2008 to 2022. Multiple linear regression analysis is a tool used to analyze and is processed using the SPSS 27 application program. The results of this research show that it is known in detail The overall simultaneousness of the independent variables has a positive and significant influence on labor absorption. Then the results of all independent variables, namely the number of tourists, have a significant effect on employment in the tourism sector in Denpasar City. Meanwhile, the number of tourist attractions, hotels and restaurants does not have a significant effect on employment in the tourism sector in Denpasar City.

The Effect of the Tourism Sector on Labor Absorption in Sumbawa Regency

Tourism plays an important role in the Indonesian economy both as a source of foreign exchange earnings and as a creator of employment and business opportunities. This study aims to determine how much influence the number of hotels, the number of restaurants, the number of tourist objects, and the number of tourists have on labor absorption in Sumbawa Regency. The method used in this research is quantitative research method. The data used is secondary data taken from the Nusa Tenggara Barat Provincial Statistics Agency, the Sumbawa Regency Statistics Agency, and the Sumbawa Regency Youth, Culture and Tourism Office. The data analysis method uses multiple linear regression through the eviews10 program. The data in this study are time series data (data from 2013-2023). The results of this study indicate that the variables of Number of Hotels, Number of Restaurants, Number of Tourist Objects, and Number of Tourists have a positive and significant effect on Labor Absorption in the tourism industry in Sumbawa Regency. From the test value of the coefficient of determination (R2) that the variable effect of the number of hotels, the number of restaurants, the number of tourist objects and the number of tourists on the labor absorption variable produces a value of 0.94051 or 94%. While the remaining 6% is explained by other variables that do not exist or outside the study.

Identifying Factors Affecting Waste Generation in West Java in 2021 Using Spatial Regression

Responsible consumption and production is the 12th of the seventeen SDGs which is difficult for developing countries to achieve due to high waste production. Indonesia is the second largest producer of food waste in the world. Garbage is solid waste generated from community activities. Population density is an indicator to estimate the amount of waste generated in an area. The choice of West Java Province as the research area is based on the fact that this Province has the second highest population density in Indonesia. This study aimed to determine the predictors/factors that influence waste production in the districts/cities of West Java Province. The data used in this study are total waste as a response variable and GRDP (gross domestic product), total spending per capita, average length of schooling, literacy rate, number of MSMEs (micro, small, and medium enterprises), and several recreational and tourism places, the number of people's markets, and the number of restaurants as predictors. The methods used in this research are spatial autoregressive regression/SAR, spatial Lag-X/SLX, and spatial Durbin/SDM. The results of this study show that the SAR is the best model with the lowest BIC (74.442) and pseudo-R-squared (0.7934). Factors that significantly affect total waste production are literacy levels, the number of MSMEs, the number of traditional markets, and the number of recreational and tourist places.

The effect of short‐term rentals on local consumption amenities: Evidence from Madrid

AbstractThis paper examines the impact of the arrival of Airbnb on local consumption amenities in Madrid. We exploit the exogenous variation created by the timing and uneven distribution of Airbnb listings in the city to determine the impact on food and beverage establishments. Using an instrumental variable strategy, we find positive local effects on both the number of restaurants and their employees: an increase of 14 Airbnb rooms in a given census tract leads to almost one more restaurant, and the same increase in a given neighborhood generates 11 new tourist‐related employees. The results are robust to the specification and sample composition. This paper contributes to the literature on the economic impact of the platform economy on urban areas by providing evidence of market expansion externalities from short‐term rentals.

Analisis Kepuasan Pelanggan Mie Gacoan

In this era, various culinary businesses with uniqueness and excellence are emerging rapidly. With the development of this culinary business, the number of restaurants both regular restaurants and fast food restaurants is increasing. When consumers choose a restaurant as a place to eat, they not only see the quality of the food, but also the quality of the service. Therefore, the management must provide good service and product quality in order to compete with other restaurants and attract more customers. Customer satisfaction is determined by a good and friendly service system and a clean and comfortable location. This study aims to determine and analyze the level of product quality and service quality on customer satisfaction of gacoan noodles. The type of research used is quantitative by distributing questionnaires to gacoan noodle customers. The analysis techniques used in this study are classical assumption test, multiple linear regression, hypothesis testing and coefficient of determination test.

Reward systems and employees’ performance in selected star-rated hotels in Nakuru City, Kenya

The aim of this study was to evaluate the influence of reward systems on employee performance in the Hospitality Industry. An employee reward system is the structure an organisation puts in place to provide tangible forms of recognition to its employees. Employee performance is driven by reward systems, which provide a framework to inspire, recognise, and retain top talent across industries. Employees are the driving force of exceptional visitor experiences in the vibrant landscape of the hospitality industry. The study was done in star-rated hotels within Nakuru City. Star-rated hotels are an indication of the range of facilities available, such as number of restaurants, location, food services, conference, room variation, swimming pool and spa service. The sample size comprised 42 employees selected through stratified and simple random sampling techniques from various departments in the selected star-rated hotels. Descriptive statistics were used to analyse the data. The results indicated that reward systems have a positive effect on employee performance. In addition, some reward systems were observed to be preferred by employees over others. Therefore, hotels should consider adopting various reward systems in their establishments in order to meet the needs of their employees for enhanced performance. The findings of the study will benefit senior management and the human resource division of hospitality establishments as it will help them determine the most effective reward systems for improved employee performance.

Does Food Safety Knowledge Influence Customer Expectation and Perception on Restaurant’s Quality Attributes?

The number of restaurants has increased recently and leads to a pierce competition in this business. To be more competitive, restaurant owners need to pay more attention on customer satisfaction. This study is aimed to examine customer satisfaction in restaurants using three variables, namely food quality, services, and environment facilities in a restaurant. Unlike studies in this area the variables were evaluated using food safety criteria where the customers’s knowledge about food safety issues were measured to analyze whether it affects the customer perception and satisfaction. The importance-performance analysis (IPA) is used to explain which attributes that need to be improved after mapping the customer expectations and perceptions. Implementing IPA to could help restaurant owners to concentrate on improving the priority quality attributes, i.e., the attributes that are important for customers but have relatively low performance. A questionnaire with food safety perspective question were distributed to 400 customers and 395 questioner were completed. The IPA Diagram reveals that the higher the consumer's knowledge the more attributes were suggested to be improved.

Improving the Regional Revenue: Analyzing the Potential of Tax Collection

Goal of this study is to analyze the potential of restaurant tax and to determine the obstacles and efforts made by the regional government in exploring the potential of restaurant tax in Makassar. This study uses several variables to calculate the potential, effectiveness, and contribution of restaurant taxes. These are, the number of restaurants, average visitors, average food prices, number of days in a year, total regional revenue and restaurant tax rates. The research method used is descriptive qualitative and the results show the potential for restaurant tax is large, not comparable to the realization of tax revenue. This comparative measure is reflected in the effectiveness of restaurant taxes, which value no more than 100% annually. This study proof that the potential for restaurant tax in the city of Makassar has not been optimally used due to socialization and government regulations that have not been implemented properly.

Neighborhood resources and risk of cognitive decline among a community-dwelling long-term care population in the U.S.

ObjectiveTo examine the associations between neighborhood resources (i.e., number of restaurants, recreation centers, or social services for seniors and persons with disability per land area) and cognitive decline among a community-dwelling long-term care population and whether they differ by baseline cognition status. Study designProspective longitudinal cohort study. MethodsWe used a longitudinal dataset that assessed over a two-year period older adults receiving state-funded home- and community-based services in Michigan Metropolitan areas (N = 9,802) and applied nonlinear mixed models with a random intercept with Poisson distribution. ResultsCognitively intact older adults were less likely to experience cognitive decline when they resided in resource-rich neighborhoods, compared to those cognitively intact but living in neighborhoods that lacked resources. But their cognitively impaired or dementia-diagnosed counterparts did not similarly benefit from living in neighborhoods with rich resources. ConclusionsNeighborhood resources may be an important aspect of intervention to mitigate cognitive decline before older adults become cognitively impaired.

The Effect of Number of Hotels, Number of Restaurants, Per Capita Income, and Population on Original Local Revenue in East Java Province

Original Local Government Revenue of East Java Province makes a high contribution compared to other provinces in Indonesia, being ranked third largest. During the period from 2010 to 2019, there was a continuous increase in Original Local Government Revenue. However, in 2020 there was a decrease due to the COVID-19 pandemic. An increase in Original Local Government Revenue will occur again in 2021 due to the implementation of the new normal policy. The objective of this study is to comprehend and examine how the quantity of hotels, restaurants, individual income, and population size impact the Original Local Government Revenue within the region of East Java Province. This study uses a quantitative approach and focuses on East Java Province from 2010 to 2022. The results show that the number of hotels and restaurants does not affect Original Local Government Revenue. Nonetheless, both individual income per person and population size exert a favorable impact on the Original Local Government Revenue in East Java.

Pengaruh Sektor Pariwisata terhadap Pendapatan Asli Daerah Provinsi Sumatera Barat

This study aims to analyze the influence of the tourism sector on Original Local Revenue of West Sumatra Province. This study will analyze how the influence of independent variables (number of tourist attractions, number of domestic tourists, number of restaurants and restaurants, and number of hotels and inns) on the dependent variable (Original Local Revenue) in West Sumatra Province. This study uses a quantitative method in the form of multiple regression analysis with panel data. The data used in this study is panel data for 5 years, namely from 2016 to 2020 obtained from the Central Statistics Agency (BPS) of West Sumatra Province. The results of the analysis using a fixed effect model approach show that the variable number of tourist objects had no effect nor was it significant on Original Local Revenue, the number of domestic tourists had a positive but not significant effect on Original Local Revenue, the number of hotels and inns, the number of restaurants and restaurants had a significant effect on increasing Original Local Revenue of West Sumatra Province.

ANALYSIS OF THE EFFECT TOURISM SECTOR AND OPEN UNEMPLOYMENT ON ECONOMIC GROWTH IN BALI PROVINCE

Bali is one of the most popular tourist destinations by domestic and foreign tourists in Indonesia. Because many tourists visit, many Balinese people are looking for a livelihood in the tourism sector such as being a tour guide, working in the hospitality sector, culinary, tourist trips etc. During the COVID-19 pandemic, many workers in the tourism sector lost their jobs, increasing the open unemployment rate in Bali Province. With a high unemployment rate, people's welfare decreases so that it can affect economic growth in Bali Province. This study aims to see the Effect of the Tourism Sector and Open Unemployment on Economic Growth in Bali Province. The variables of the independent of this study are the number of tourists visiting, the number of hotel, the number of travel agencies and the open unemployment rate. Meanwhile, the dependent variable used is the economic growth of Bali province. The analysis tool used is Panel Data Regression, from the test obtained the value of the coefficient of determination R2 of 65.80%, this shows the magnitude of the influence of independent variables on dependent variables. The results of the study concluded that simultaneously the number of tourists, the number of restaurants, the number of tourist travel agencies, and the unemployment rate influenced economic growth. This is seen from the prob value of F-statistics of 0.0000. Meanwhile, the results of the t test show that the results are influential and significant for each independent variable against the dependent variable.