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Tourism and Hospitality Management ; 28(2):361-380, 2022.
Article in English | CAB Abstracts | ID: covidwho-2002741


Purpose - Staycation became a popular alternative to vacation during the pandemic. This study seeks to examine the factors that influence Indonesian tourists' staycation intention during COVID-19 using an extended model of goal-directed behaviour. Design - A model of goal-directed behaviour incorporates motivation variables, perceptions of COVID, and personal non-pharmaceutical interventions developed to predict people's staycation intention during COVID-19. Methodology - Purposive sampling was used to determine samples aged above 17, domiciled in Indonesia, and willing to staycation during COVID-19. An online survey produced 534 responses and data were evaluated with PLS-SEM. Approach - A quantitative exploratory study was used to identify how Indonesian tourists intend to staycation during COVID-19. The measurement items were constructed from prior studies to evaluate the model. Findings - The staycation intention during COVID-19 was positively affected by desire, followed by perceived behavioural control, with perception of COVID-19 showing the opposite impact. Attitude plays essential role in influencing staycation intention. However, staycation intention was not associated with personal nonpharmaceutical interventions. Originality of the research - This study provides novel insights into motivational and nonpharmaceutical intervention variables in MGB, which are still underexplored in tourism literature, to assist hospitality and tourism management in optimizing the staycation trend and market during the pandemic.

Pertanika Journal of Social Sciences and Humanities ; 30(2):699-721, 2022.
Article in English | Scopus | ID: covidwho-1965199


The way people travel has been entirely altered by COVID-19. Additionally, past studies reported that tourist behaviour has shifted because of the pandemic. Therefore, tourism management must identify the variables that impact tourists’ decisions to travel during COVID-19. However, the problem arises since research into tourist motivation, behaviour, and intention to travel in Southeast Asia is still scarce. In light of this issue, this study aims to bridge the gap by analysing tourists’ travel intentions during COVID-19 using the theory of planned behaviour broadened with push and pull factors. An online survey among Indonesians was employed to acquire data using judgment sampling. Three hundred sixty-one surveys were completed, and the data were analysed using the PLS-SEM technique. Based on the findings, only one variable had no significant effect on the intention to travel during COVID-19. Besides that, attitude towards a behaviour was the most potent variable affecting a tourist’s decision to travel. Thus, this study contributes both theoretically and practically. © Universiti Putra Malaysia Press

3rd World Symposium on Software Engineering, WSSE 2021 ; : 109-113, 2021.
Article in English | Scopus | ID: covidwho-1741694


The agricultural sector in Indonesia is one of the important sectors for national food security, especially during COVID-19 pandemic. Unfortunately, Indonesia is currently facing a farmer regeneration crisis because most of the Indonesian farmers are approaching their maximum productive age. If this condition continues, Indonesia is projected to experience a crisis in the number of farmers for the next 10 years. Another problem arises because a lot of agricultural land has been turned into housing. Therefore, the government and many non-profit organizations encourage food self-sufficiency activities such as urban farming. However, to achieve national food security, involvement of various parties is needed to encourage innovation. Further, this study aims to explore the collaboration and innovation blueprint using a business model canvas based on service dominant logic. This initial business model canvas is proposed to provide a big picture of the value co-creation process based on a qualitative approach (i.e., literature review, observation, and interviews). Further studies are expected to validate the developed BMC by presenting various statistical analyses. © 2021 ACM.