Muhammad Dharma Tuah Putra Nasution

This study aims to examine the effect of tourism image, experiential value, and satisfaction on the intention of revisiting the tourist area. The present study used associative analysis to ascertain the link between two or more variables. The study is being conducted in North Sumatera province, Indonesia, specifically in the tourist area of Lake Toba. The research population is comprised of an undetermined number of tourists that visited the tourist area around Lake Toba. The sample size of 324 was determined, which was obtained by multiplying the least number of samples by four or five questionnaire item categories. An accidental sampling approach was employed in this study, and data processing was performed using descriptive and inferential statistics and Smart-PLS software. The empirical findings indicate that although the tourism image has a significant and positive impact on experiential satisfaction, the direct effect of experiential value has a negative value on experiential satisfaction. Moreover, through tourism experiential satisfaction, experiential value has a negative value on intentions to revisit the destination. On the other hand, the indirect relationship between the tourism image and the intention to revisit through tourism experiential satisfaction has a positive value.

Acknowledgment
We would like to express our gratitude to the Ministry of Education and Culture’s Directorate of Research and Community Service for funding this study via the “Higher Education Excellent Basic Research Grant Fund” program.

Crowdsourcing has emerged as a valuable tool for organizations seeking to access external knowledge and resources for their innovation processes. This study aims to investigate crowdsourcing capabilities in the context of new product development initiatives, with a focus on exploring the moderating effects of firm size and type. Structural Equation Modeling using Partial Least Squares (SEM-PLS) is used to analyze both the measurement and structural models, with data drawn from 217 owners and managers of diverse businesses in Indonesia. These businesses range from small to medium-scale enterprises across various types, including cafes, restaurants, fashion, culinary, and furniture. The findings reveal a positive and significant impact of crowdsourcing capabilities on new product development initiatives (β = 0.746, p = 0.000). Moreover, the relationship between crowdsourcing and new product development is moderated by firm size (whether small or medium) (β = 0.103, p = 0.045) and the type of business (β = 0.157, p = 0.012). The outcomes of this study are anticipated to enrich the body of knowledge and provide valuable guidance for enterprises seeking to harness crowdsourcing in their new product development processes, with specific factors like firm size and type taken into account.

Acknowledgment
This study was supported by the Indonesian Ministry of Education, Culture, and Technology Research in 2022: Research Grant Scheme “PDUPT”No. 124/LL1/LT/K/2022.