Turizm İşletmeciliği Bölümü

Permanent URI for this communityhttps://hdl.handle.net/20.500.12514/2488

Browse

Now showing 1 - 3 of 3

Case Study as a Research Method in Hospitality and Tourism Research: a Systematic Literature Review (1974-2020)
(Sage Publications inc, 2021) Çakar, Kadir; Cakar, Kadir; Aykol, Sehmus; Aykol, Şehmus
This systematic literature review aimed to investigate the use of case study method in hospitality and tourism research to increase the awareness about the use of case study as a research method. Data were collected (n = 871) from 10 leading hospitality and tourism journals published between 1974 and 2020. A thematic analysis of the data was conducted using Leximancer as a computer-aided analysis software. The study findings reveal an overall mislabel and misuse of the case study method. Suggestions are provided to improve case study method applications and increase case study research for more theory development in hospitality and tourism research.
The past of tourist behaviour in hospitality and tourism in difficult times: a systematic review of literature (1978-2020)
(Emerald, 2022) Çakar, Kadir; Aykol, Şehmus
Purpose The purpose of this study is to fill a gap in literature with a meta-analysis of previous studies assessing the decision-making processes of travellers when choosing holiday destinations in times of crisis. Design/methodology/approach This study presents here an abductive analysis of the findings of 737 peer-reviewed studies published in leading hospitality and tourism journals between 1978 and 2020. The studies in question concentrate on tourist typologies and behaviours when making destination choices in times of crisis, and the garnered data was subjected to a computer-aided data analysis adopting a thematic analysis technique, making use of Leximancer software. Findings The data was subjected to a thematic analysis and clustered under five main categories based on the distribution of articles by publication year, research topic, author contributions, articles by journal and articles by country (e.g. tourist typology, travellers' decision-making, holiday decision-making, tourist decision-making, destination choice, traveller behaviour and vacation decision-making). Research limitations/implications The limitations of this study include its inclusion only of articles listed in the SCOPUS, Web of Science and ScienceDirect databases. This study makes a critical assessment of the current gaps in literature and proposes questions to be raised in future studies. Originality/value This study proposes several topics for future investigation that are considered necessary to close crucial gaps in our understanding of the tourism sector's response to behavioural trends. The authors' intention in this regard is to increase the scholarly awareness of decision-making models relevant to destination choice by linking tourist typologies and the behaviour exhibited before, during and after crises.
Understanding travellers’ reactions to robotic services: a multiple case study approach of robotic hotels
(Journal of Hospitality and Tourism Technology, 2021) Çakar, Kadir; Aykol, Şehmus
Purpose: The purpose of this paper is to investigate travellers’ behaviour and examine their reactions to high-tech hotels offering robotic services to customers. Design/methodology/approach: Data were gathered from user-generated content within the context of a qualitative research method by analysing the online narratives of travellers at TripAdvisor who visited robotic hotels. Data analysis was realised through content analysis, which revealed various themes and categories of traveller behaviour and reactions to technology. Findings: Results show that robotic services significantly improve the quality of service offered to travellers, while positively affecting travellers’ intention to revisit robotic hotels within the context of customer engagement behaviours. Research limitations/implications: The results of the present research reveal that the introduction of new technologies in the service industry, such as the robotic butler, can have considerable effects on guest behaviour and attitudes. This field has emerged as a new sub-dimension of customer engagement. Practical implications: The use of robots will most likely enhance experiences through interaction between customers and robots. Additionally, in cases where social distancing is required, the use of robots in the hospitality and tourism industry may increase the mobility of people wishing to travel by applying social distancing through use of robots in services. Originality/value: The study contributes to the extant literature by identifying the concept of adoption as a sub-dimension deriving from human–robot interaction, thus generating the novelty of the research.

Browse

Browsing Turizm İşletmeciliği Bölümü by Author "Aykol, Şehmus"