Nova Jayanti Harahap

Innovative work behavior is a significant factor for business success, including in the creative industry. This paper aims to explore the effect of self-efficacy on the innovative work behavior of employees in the creative industry sector. This study uses a quantitative research approach. It was conducted on small and medium enterprises in the creative industry sector in Labuhanbatu and South Labuhanbatu regencies, Indonesia. The participants in this study were employees and managers in the creative industry. The sampling technique is non-probability sampling. A total of 250 questionnaires were distributed, and 216 questionnaires were returned. Therefore, the samples in this study were 216 respondents. After the data were collected, they were processed by the Structural Equation Modeling (SEM) method, which uses a multidimensional approach to testing the hypothesis. The results revealed that innovative work behavior was influenced by self-efficacy. Based on the results of the multidimensional analysis, it was shown that the most influential dimension in measuring innovative work behavior was the idea champion. In addition, the strength dimension dominantly influenced self-efficacy as the most influential dimension. The originality/value of this paper is that the analysis using multidimensional analysis shows that self-efficacy can predict innovative work behavior. The SMEs in the creative industry are suggested to give support to enhance their capability to improve employee self-efficacy and innovative work behavior.

Adventure tourism has received significant attention recently because it offers unique sensations. Managers of adventure tourism objects need to understand the determinants of satisfaction in adventure tourism. This study aims to examine the effect of intrinsic motivation and flow theory on extreme and non-extreme adventure tourists’ satisfaction in Indonesia. This study uses a quantitative approach. The sample includes 405 tourists engaged in adventure tourism activities (extreme adventure tourism activities – 200 respondents, and non-extreme adventure tourism activities – 205 respondents). Structural Equation Modeling-Partial Least Square (SEM-PLS) was used to analyze the data. The results show that autonomy and competence influence flow experience (p-value < 0.05). This applies to extreme adventure and non-extreme adventure tourism. Furthermore, flow experience has a positive effect on adventure tourist satisfaction. In the context of extreme adventure tourism, autonomy does not affect the satisfaction of extreme adventure tourists (path coefficients = 0.025 and p-value = 0.761). In the context of non-extreme adventure tourism, competence does not affect the satisfaction of non-extreme adventure tourists (path coefficients = –0.036 and p-value = 0.682). This study recommends that managers of non-extreme tourism spots add challenging aspects to tour packages because they are believed to increase tourist satisfaction.