Sökning: "Restaurants"

Visar resultat 1 - 5 av 455 uppsatser innehållade ordet Restaurants.

  1. 1. Hur mår vi bra av en gågata? : faktorer som påverkar den mentala hälsan och upplevelsen bland stadens hårdgjorda miljöer, med gågatan i fokus

    Master-uppsats, SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

    Författare :Odd Nilsson; [2024]
    Nyckelord :gågata; gågator; boende i staden; miljöpsykologi; mental hälsa; landskapsarkitektur; rumslighet; grönska; ljudbild; trafik; människor; stress;

    Sammanfattning : De senaste 200 åren har städer blivit majoriteten av människans boendemiljö, både globalt och i Sverige. Att bo i en stad idag innebär en ökad risk för både fysisk och mental ohälsa. Stadsplaneringen kan bidra till att minska risken, genom att ta hänsyn till faktorer som bidrar till ett ökat välbefinnande i staden. LÄS MER

  2. 2. The role of social media in small and medium - sized restaurant businesses : A case study from Östersund, Sweden

    Master-uppsats, Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turism

    Författare :Sameera Prasanna Rodrigo; [2024]
    Nyckelord :Social media; SMEs; Restaurant business; RBV theory;

    Sammanfattning : Background: Social media has revolutionized the restaurant industry, and it plays a significant role by changing and offering new ways to engage with restaurant customers and build stronger customer relationships, market their products and services, and acquire new customers, manage restaurant reputation, enhance brand awareness, and stay competitive in an increasingly digital world. Even though some restaurants recognize and utilize the potential of social media to deliver the above benefits, still there are some restaurants that have outdated social media accounts or completely inactive in social media. LÄS MER

  3. 3. Impulsive Buying Behaviour and Restaurant Selection and Consumption

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Leila Baiche; Andrijana Milanovic; [2023-07-03]
    Nyckelord :Impulsive Buying Behaviour; á la Carte Restaurants; Restaurant Selection; Menu Selection; Extraordinary Experiences;

    Sammanfattning : The study explores à la carte restaurant and its connection with impulsive buying, in terms of restaurant selection, menu selection and extraordinary experiences which reflects the purpose of the study and was explored with three research questions. Prior research of restaurant consumption and impulsive buying was not clear on how consumers select a restaurant and choose on the menu impulsively. LÄS MER

  4. 4. Offering a managerial perspective on stress management in the restaurant industry - How do managers perceive and handle stress in their daily work?

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Amelia Lindh; Kevin Torgersson; [2023-06-29]
    Nyckelord :Stress management; coordination; accountability; predictability; common understanding; routines; flexibility; adaptation; restaurant industry;

    Sammanfattning : Stress management is a significant topic to study within management as employee well-being and stress experienced at work is rising. One industry where work stress is increasingly rising is the restaurant industry. LÄS MER

  5. 5. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Stella Jarlöv; Anton Svensson Dahl; [2023]
    Nyckelord :demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Sammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER