Concerning the Fourth Industrial Revolution (4IR) era, associated with the rapid integration related to advanced technologies like Artificial Intelligence (AI), blockchain, and the IoT (Internet of Things) into society, effective Knowledge Management (KM) is crucial for organizations in this dynamic landscape. This systematic review explores the evolving relationship between KM and 4IR, addressing how organizations adapt their KM practices to leverage 4IR technologies and address associated challenges. Our review examines recent research in KM and 4IR, highlighting key themes, trends, and findings. Using a rigorous systematic review methodology, final primary data (n=28) published between 2021 and 2023 through advanced searches in Scopus and Econbiz databases were analyzed. The results reveal a dynamic landscape where organizations embrace 4IR technologies to enhance knowledge creation, storage, sharing, and application. The synthesis of existing research underscores the need for a strategic and adaptable KM approach in the 4IR era, emphasizing the critical roles of organizational culture, leadership, and technological infrastructure in shaping successful KM practices in this transformative context. This systematic review serves as a guide for scholars, professionals, and decision-makers, aiding them in navigating the complexities of 4IR and emphasizing the value of knowledge as a key resource in this evolving field.

The purpose of this study is to identify and analyze several key references regarding tourist experience and destination image. This research is a systematic literature review using the Scopus-based science citation index. Based on several stages of the systematic review method, this study found 41 key references from Scopus indexed journals. This study also examined citation behavior based on quartile and cite score. This study found that the journal sustainability Switzerland is the journal that discusses the most about tourism experience and destination image. However, most of the articles are published in business and management journals and also journals are published in the field of tourism, while for the country of origin of researchers, the United Kingdom is the most dominant country of origin of researchers followed by researchers from China and the United States. Thus, there are opportunities for further research in the context of tourism. This study contributes to further research and makes a significant contribution in answering research questions or addressing issues in the field of tourism.

This research investigated the interest in online shopping among Indonesian Millennials during the new normal COVID-19 epidemic. This research contributes to understanding how familiarity with online shopping is mediated by information search could affect the online shopping interests of urban millennials during the new normal COVID-19 pandemic. This study is a sort of quantitative research done on urban millennials interested in online shopping amid the 2022 pandemic caused by the new normal strain of COVID-19. An online survey of urban millennials was conducted using non-probability samples obtained with purposive sampling. There were 200 respondents in the model—SmartPLS-based approaches for data analysis. The research findings show that familiarity with online shopping and information search has a positive and indirect influence on the online purchase intent of Indonesian urban millennials. Search for information serves as the mediator between familiarity with online shopping and online buying intentions. To draw the attention of urban millennials to online shopping, it is essential to evaluate their familiarity with online shopping and where and how they search for information before they’re interested in purchasing online.

The use of social media is important to affect business performance, especially for small businesses. One of the benefits of using social media for marketing products to build relationships with customers because it allows sellers to talk directly with customers or followers. The aim of this study to describe using social media on the Rendang brand performance of small medium-sized enterprises (SMEs) in West Sumatera. A survey study is using to analyzed data collected from social media SME followers. A total of 310 respondents with purposive sampling used in this study. The result of the study shows WhatsApp is the most social media used by SMEs followed by Facebook. Overall, the findings inform social media has an important role of benefits in determining business performance for small businesses.

The purpose of this article is to identify and analyze several references related to the keyword "customer loyalty." Utilizing Harzing's Publish or Perish, a systematic literature review was conducted for this study using the Scopus database. Employing the SPAR-4-SLR protocol, data analysis was performed using Microsoft Excel, Mendeley, and VOS Viewer to ensure transparency and replicability. The findings of this study identified 82 primary articles indexed in Scopus Q1 based on the Scimago Journal Ranking (SJR). The study also discovered seven knowledge clusters supporting research on customer loyalty, with a total link strength of 214. VOS Viewer visualization revealed that "Customer Loyalty" is significantly prominent and is associated with the phrase "Customer Satisfaction," demonstrating a clear relationship. This study has several limitations, such as constraints in database access restricted to Scopus. Therefore, future research is recommended to expand data collection by incorporating additional sources such as Emerald, SpringerLink, Science Direct, EBSCO, Google Scholar and non-Q journals like Web of Science.

This Research aims to analyze the effect of destination perceived quality, perceived value on tourist’s words of mouth with satisfaction as an intervening variable. The population of this study is tourists who had came to Mifan Waterpark and Resort whether stay overnight or one day trip. The sampling technique uses purposive sampling which amount 180 tourists. Data collection is done by filling out questionnaires and data analysis technique uses SEM (Structural equation modelling).