Effect of learning culture and management control system on innovation performance: Evidence from startup companies in Indonesia

The Covid-19 epidemic has resulted in a dramatic decline in hotel public consumption. Hotel performance must be enhanced through the use of a hotel marketing strategy to compete with others. The aim of this paper is to examine the relationship between the innovation of the brand, dynamic capability of marketing, brand communication, brand experience, and brand performance in Indonesian 3-5 star international hotels. The data for this study were acquired using an electronic questionnaire on Google Forms from 530 customers who stayed in hotels throughout Indonesia prior to and during the Covid-19 pandemic. Smart-PLS 3.2.9 was used to analyze the data using the outer model and the inner model. The findings indicated as follows: brand innovation has a positive effect on brand communication; dynamic marketing capability has a positive influence on brand communication; brand communication directly has a positive effect on brand experience; brand experience significantly has a positive effect on brand performance; brand communication directly has a positive effect on brand performance; brand innovation has a positive influence on brand performance, and dynamic marketing capability has a positive effect on brand performance. This study contributes to the worldwide hotel strategy’s global marketing efforts in order to compete and improve performance in an increasingly competitive hotel business.

In the era of high uncertainties, all businesses, including state-owned enterprises, are trying to be resilient, be able to absorb the negative impacts caused by the changes, adjust, rebound, and then thrive and success after the disruptions. This study aims to examine to what extent risk management and alliance management capabilities promote enterprise resilience among Indonesian state-owned enterprises using dynamic capability theory. Analysis was done using SPSS and Structural Equation Model – Partially Least Squares on 322 valid questionnaires that were received via an online survey from the boards of directors and senior management of state-owned enterprises and their subsidiaries. The study discovered that alliance management capabilities have a significant positive effect on enterprise resilience and risk management practice. Furthermore, the findings show that risk management contributes significantly to the formation of enterprise resilience and act as a mediator between alliance management capabilities and enterprise resilience. Thus, enterprise resilience can be developed by having the ability to form and manage alliances effectively and efficiently, as well as practicing risk management, which allows a firm to anticipate and plan mitigation actions in the face of an uncertain and disruptive situation.

Acknowledgment
We acknowledge the Ministry of Higher Education Malaysia for HICoE Research Funding, Accounting Research Institute (ARI), Universiti Teknologi MARA, Malaysia, Universitas Indonesia, Indonesia, for all support and resources.

To carry out a comparative analysis of the EU countries’ national innovation systems (NIS), a feature vector has been compiled, covering three modules, namely, science, education, and innovation. The feature vector is a valid multidimensional data set of sixteen official statistics indices and two sub-indices of the Global Innovation Index. The development of a cognitive model for managing the NIS parameters required a preliminary three-stage empirical study to determine its elements. In the first stage, cluster analysis was performed (the k-means, metric – Euclidean distance algorithm was used). As a result, the EU countries were divided into four clusters (following multidimensional scaling estimates). In the second stage, a classification analysis (using decision trees) was carried out, which allowed determining three parameters that distinguish clusters (or classes) optimally. These parameters are recognized as important ones in terms of positioning the countries in the general ranking; that is, they can be considered as a priority for the NIS development and improving the countries’ positions in international comparisons. In the third stage, based on the authors’ approach, the significance (information content) of each key parameter is estimated. As a result, a cognitive model was compiled, taking into account the parameter significance. The model can be used in managing the NIS parameters, seeking to increase the system performance and improve the international position of a specific country. The model can also be used by partner countries, for example, Ukraine, as it demonstrates the landscape of EU innovative development and outlines the directions for priority development of NIS towards the European progress.