Analysis of the Potential of Tourism Restorative Destinations to Overcome Health Disorders Due to Work Fatigue: (Study on Perceived Destination Restorative Qualities (PDRQ) in the Context of Tourism)

The tourism industry is greatly affected by environmental changes. Especially after the world went through the Covid pandemic era, people prefer doing healthy tourism. The daily workload, the increase in education and welfare have resulted in a shift in the trend of tourism choices. People are increasingly considering the fulfillment of work-life balance. This study is designed to examine the elements contained in the measurement of the restorative quality of destinations known as "Perceived destination restorative quality (PDRQ)”. PDRQ consists of four elements, namely being away, extent, fascination, and compatibility. These four elements will be tested for their effect on the overall restorative impact and visitor satisfaction. A quantitative study will be conducted in Indonesia with tourism objects in Jogjakarta and Central Java covering rural and urban areas. SEM statistical analysis tools will be used to test the validity and reliability of the data collected. This research will enrich the literature review in the field of health tourism and for managers will be useful to further broaden the perspective of offering tourism program that has more restorative impacts. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Digital Transformation During the Pandemic Performed by SMEs in ASEAN Countries: A Review of Empirical Studies

SMEs have been the backbone of numerous economies all over the world. But since Covid-19 pandemic hit many economies, it changed practically every part and component of SMEs. In response to the pandemic, one transition has been accelerated, namely digital transformation. Although previous studies on digital transformation performed by SMEs in ASEAN countries have been conducted, currently, there is no single empirical study that compare digital transformation conducted by SMEs across ASEAN countries. Therefore, we discuss and reflect on the implementation of digital transformation by SMEs in ASEAN countries by reviewing existing empirical studies on SMEs' digital transformation published between 2020–2022 are reviewed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A comparative study of generations X, Y, Z in food purchasing behavior: the relationships among customer value, satisfaction, and Ewom

The COVID-19 pandemic has fundamentally changed many aspects of lives, including business and consumer behaviour. This study investigates Gen-X, Gen-Y, and Gen-Z in their change in food purchasing behaviour during the pandemic. Further, the study examines the relationships among customer value, customer satisfaction, and eWOM across three generations. It is found that (1) Gen-X, Gen-Y, and Gen-Z perceived different value during the pandemic, (2) Gen-X found to be the cohort that is most concerned with safety value in selecting food compared to the other two cohorts, meanwhile Gen-Y is the cohort with the highest concern on information value, (3) customer value has significant impact on satisfaction and eWOM for Gen-X and Gen-Z, however for Gen-Y, customer value impacts satisfaction significantly, surprisingly, it has no impact on eWOM. Managerial implications and future research directions are highlighted in this study.

COVID-19 Pandemic and Adaptive Shopping Patterns: An Insight from Indonesian Consumers

Although existing studies on consumers typology are extensively conducted, insights on consumers typology in adapting their shopping attitude and behaviour during the COVID-19 pandemic remain unexplored. Current studies on consumer responses to the COVID-19 pandemic tend to focus on the following themes: panic buying behaviour, consumer spending and consumer consumption. This study explores a typology of adaptive shopping patterns in response to the COVID-19 pandemic. The study involved a survey of 465 Indonesian consumers. Principal component analysis is used to identify the variables related to adaptive shopping patterns. Cluster analysis of the factor scores obtained on the adaptive shopping attitude and behaviour revealed the typology of Indonesian shoppers’ adaptive patterns. Multivariate Analysis of Variance (MANOVA) analysis is used to profile the identified clusters based on attitude, behaviour and demographic characteristics. Results revealed five adaptive shopping patterns with substantial differences among them. This study provides in-depth information about the profile of Indonesian shoppers’ adaptive patterns that would help retailers in understanding consumers and choosing their target group. The major contribution of this study is providing segmentation on shopping adaptive patterns in the context of the COVID-19 pandemic which presents interesting differences compared with previous studies. This study reveals new insights on shoppers’ adaptive attitude and behaviour as consumers coped with the pandemic. © 2021 International Management Institute, New Delhi.