Improvement in Rural Tourism Marketing to Increase the Economy of Malaysia
Thursday, January 5, 2023
GROUP MEMBERS
NORAIN NAJIHAH BINTI ABDUL RAHMAN
62215222360
SITI ZUMRATUL A’SHIKIN BINTI ZOLKPHLI
62215222126
NOR ADILAH HANIM BINTI SHAFI
62215222154
TENGKU MUHAMMAD FAYED BIN TENGKU MOHAMMAD FIRMAN
62215222114
LOGO UNIKL
INTRODUCTION
Rural tourism which is an activity that involves the non urban areas. Several tourists have visited Soria which is the north central of Spain. Soria is a Spanish province in the autonomous region of Castile y León, located northwest of Madrid and south of La Rioja. It is well-known for its architectural heritage and religious sites, as well as for its stunning natural reserves, mountains, rivers, and lakes.
THEORIES
METHODOLOGY
In this research, quantitative data is used in order to quantify a problem or address the aspects of a research question. The question we use can be counted or compared on a numeric scale. In one of the questions, we provide on the google form there is a scale where we ask our 14 respondents questions which is on a scale of 1-5, either the expectation worth it or not when they visit the rural tourism area that they’ve chosen. All this data is gathered using a questionnaire that we created using Google Forms. The method for collection we use is observational data which we give our respondents an open-ended survey to collect information.
Research Hypothesis
Therefore, the goal of this study was to collect information from our respondents about the factors that most influence tourist behavior in Soria, Spain. Line et al. (2018) emphasis the importance of motivations in tourist behavior. It discusses the significance of motivation, with a focus on motivation and sustainability programmed. The following theories are proposed as a result of the role of environmental, cultural, and social factors in visitor decision-making.
Descriptive Data Methodology Graph Chart
table 1 data analysis respondent
Table 1 showed the data of those who responded to our questionnaire. This table also includes a data analysis that represents demographic information. We have approximately 110 responders who have completed all of the surveys.
Methodology Graph Chart
FINDING
The primary goal of this chapter is to provide the contributions from the preliminary exploratory investigation, the pilot study, and a detailed analysis of the data acquired in the quantitative explanatory stage using questionnaire designs. It explicitly presents essential survey response analysis results, respondents and demographic profiles, data screening and preliminary analysis, measures of validity and reliability, path analysis, and thorough hypotheses testing outcomes. Each model's description of the variance proportions was measured in this study. Figures from SmartPLs, explain the figures and numbers which the factor is loading for loyalty which was L1 was 0.978 and L2 was 0.970. Furthermore, for values which were V1 was 0.976, V2 was 0.973 and V3 was 0.980. Last but not least, the factor loading of satisfaction was L1 which was 0.966, L2 was 0.958, V1 was 0.969, V2 was 0.966 and V3 was 0.974. As a results, conclusively we are confident that the conducted factor analysis is very appropriate for our data.
CONCLUSION
Upon exploring the situation from multiple perspectives, it is clear that the tourism industry in Malaysia is vital to economic progression. It is a valuable source of income for the nation's GDP. In recent decades, this type of tourism has grown in popularity, providing a viable alternative to traditional tourism in Spain. Travelers are looking for experiences other than the beach. Visitors want new experiences as well as a more personalized and customizable vacation. They are also looking into different types of lodging and expressing an increasing desire to stay connected to the outside world. This is proven by the data collected on the questionnaire where 78.6% frequent engaging in rural tourism.