Although social capital and collaborative knowledge creation were considered essential drivers in maintaining competitive advantage, empirical evidence on the impact of collaborative knowledge creation on organizational agility remained limited. Therefore, this study examined the relationship between social capital and collaborative knowledge creation in building innovation and agility and testing strategic flexibility as a moderating variable. It employed a quantitative design by distributing questionnaires to 414 managers and assistant managers of SMEs analyzed by SmartPLS-SEM. The results showed that social capital significantly affected collaborative knowledge creation, innovation, and organizational agility. Meanwhile, collaborative knowledge creation has no significant impact on organizational agility. Furthermore, strategic flexibility was not a moderating variable of the relationship between innovation and organizational agility. Based on these findings, this study produced recommendations for managers to strengthen organizational agility.

Circular economy business model has attracted attention in last decade regarding the increasing of environmental awareness and sustainability. However, the scientific and research content of the concept is so shallow and disorganized that it is still a collection of vague ideas separated from several fields of science. This study aimed to measure the visual trends in circular economy business model. This survey identified keywords related to circular economy to find and identify related articles in the Scopus database for 500 articles published from 2018 to 2022. The findings are a visual trend of an increasing number of publications each year, academic affiliation, author, and article subject area, keywords, and authorship networks. This literature review provides evidence that circular economy business model thinking attracts academic researchers to make policy-relevant regarding environment.

This study aims to analyze the role of the adoption of technology and digital devices in facilitating business processes in the tourism industry in terms of delivering interactive information to tourists, especially foreign tourists. This study uses a qualitative method. Data collection methods used in the study are literature reviews, field surveys, and observations. The results of the study show that many foreign tourists are active and regular in using information and communication technology with laptops, smartphones, and the Internet. The results of the study also concluded that applications such as digital maps are the most popular devices for planning travel. Although the demand for digital solutions is very high, there is a gap between the technology preferences of foreign tourists and the ability of industry players to adopt technology, the majority of tourism industry players still rely on conventional methods. Foreign tourists who are currently dominated by the digital generation show a fast understanding and adaptation of technology, this should be responded to quickly by tourism business actors in Indonesia in developing digital devices. The tourism sector needs to improve technology integration to improve the efficiency and relevance of information services. To meet the needs of foreign tourists and technology-savvy tourists, it is important to develop technological devices that can be used to provide information and are easily accessible

Many countries currently face problems related to the loss of cultural heritage due to inadequate documentation. Several collective actions must be taken to document, preserve, and protect ancestral cultural practices and knowledge, one of which is through digitalization. Subak is an irrigation and agriculture management organization based on Balinese customs adhering to the Tri Hita Karana principle, and it has existed for centuries as a cultural heritage. This research was aimed at designing a strategic planning model for the digitalization of Subak cultural heritage. The research began with the needs analysis, the data for which were collected through field observations, in-depth interviews, and document analysis. The collected data were subjected to SWOT analysis focusing on internal environment of the Subak (Business Model Canvas), external environment (PESTEL), and internal and external IT environment. Subsequently, the Ward & Peppard IT strategy mapping was conducted using the Mc Farlan Strategic Grid Quadrant priority scale. The ultimate aim of the research was to produce a strategic planning model for the digitalization of Subak cultural heritage in Bali. The IT strategic planning model represents a general description of the condition of Subak as a noble heritage of the ancestors of the Balinese people and provides valuable feedback for policy-makers in an attempt to preserve such ancestral wisdom and manage the knowledge of Subak.

This study aims to identify features for stock market value predictions based on time series grouping. This research uses various data sets for different activities. We have the balance sheet data set, which includes a series of quarterly balance sheets. Next, there is the ratio data set. The clustering data set consists of a series of daily prices. There are two data sets for testing activities: pilot forecasts and investments with daily data, projections, and investments. To speed up the development and exploration of different methods, testing begins with a subset of the data, with additional shares of witnesses. This research uses ARIMA and artificial neural networks to predict stock prices. Predicted results provide an investment strategy that compares the results obtained with what happens, resulting in generally positive profits. The capacity of artificial neural networks to manage non-linearities in financial data explains this. Second, many experiments demonstrate that not all data can be utilized using predicting techniques. These results indicate that improved estimations do not always result from more significant data. Forecast accuracy and performance on the test set will likely be negatively impacted by noise and competing signals introduced by data from unrelated stocks. Put another way, by including unrelated data, the information about the action supplied by the group of which it is a member is obscured. As such, the forecasts more closely align with the market's average behavior than with the performance of a specific stock.

Digital transformation in preserving local cultural knowledge demands a knowledge management system (KMS) that is not only functional but also oriented to user needs. This study aims to develop a Human-Centered Information Architecture (HCIA) model for web-based KMS, with a case study on the digitalization of subak knowledge in Bali. The research approach used is qualitative analysis with an integration of deductive approaches. The design process follows the principles of Human-Centered Design, which includes three main stages: inspiration, ideation, and implementation. Eight steps in developing information architecture are carried out systematically, starting from identifying stakeholder objectives and user expectations, designing content structures, and creating wireframes. Data collection techniques include interviews, observations, and user persona analysis to explore information needs in depth. The results of the study produce an HCIA model that represents the relationship between content structure, navigation flow, and web-based system interface, which has been conceptually validated through user feedback. This study provides theoretical contributions to the development of user-centered information architecture and practical contributions to designing adaptive and contextual cultural KMS. The resulting HCIA model is an important foundation for further research in developing a web-based Subak KMS.