Digital transformation (DT) has become a crucial driver of efficiency and competitiveness in the maritime industry. To effectively guide further digital transformation in ports, evaluating maturity is crucial as an initial assessment step. This research aims to achieve two main objectives: firstly, to develop a comprehensive model for evaluating the digital transformation maturity of ports in archipelago countries, using Indonesia as a case study; secondly, to gain a deeper understanding of Indonesia’s current maturity level and provide tailored suggestions for improvement. The choice to study archipelago countries comes from the absence of a maturity model that considers their unique geographical challenges and specifically the presence of a wide range of ports with varying sizes in hub-spoke networks. The research utilized mixed methodologies, including a multidisciplinary literature review, an empirical test on 45 Indonesian ports, and interviews to gather further insights. As a result, this research proposes the Digital Transformation Maturity model for Ports in Archipelago countries (DTMPA) which comprises five maturity levels based on the measurement of five dimensions. Additionally, the study reveals that Indonesian ports face challenges in their digital transformation, including the adoption and integration of technologies across their vast network of ports. Nevertheless, this model serves as a valuable tool for practitioners to assess their port’s digital maturity independently, facilitating informed decision-making, strategic actions, and improved competitiveness. Additionally, it contributes essential insights into the digital transformation landscape, guiding archipelago countries to navigate the complexities of digitalization within their maritime sector.

Medical tourism is an industry that is currently developing, but research that focuses on the analysis of supply and institutions as a unit in Indonesia is sparse. This research aims to investigate the variables of digital transformation and resource integration that influence hospital performance, considering the expansion of hospitals’ capacities for networking in medical tourism. A structural equation model is used to evaluate the hypothesis. According to our findings, digital transformation and resource integration both have a beneficial effect on networking capabilities. On the other hand, the implementation of digital transformation does not improve hospital performance. Digital transformation has a good link with hospital performance but has no statistically significant effect on hospital performance. In the meantime, the capabilities of resource integration and networking have a positive effect on the overall operation of hospitals. In a similar vein, the ecosystem of medical tourism helps to improve the connection between a hospital’s networking capabilities and its overall performance. It is anticipated that the findings of this study will serve as a reference for those in the policymaking and healthcare industries to develop medical tourism.

This study intended in evaluating as well as validating the importance of customer trust and commitment in mediating the impact of omnichannel perceived value (OPV) and customer involvement on electronic loyalty at BUKU IV bank’s customers in Jabodetabek. Descriptive quantitative is the method used in this research with the assistance of a causal approach with a total sample of 245 respondents which were then analysed by PLS-SEM (Partial Least Square-Structural Equation Model). The results of this research found that omnichannel perceived value, as well as consumer engagement both partially and cooperatively, had positive and significant effect on the trust of Customers at BUKU IV banks in Jabodetabek, OPV, consumer engagement and trust of customers both partly or cooperatively have a positive and significant effect on the commitment of customer at BUKU IV Banks in Jabodetabek. Moreover, trust and commitment either partially or jointly have a positive and significant effect on e-loyalty of Banking customer at BUKU IV banks in Jabodetabek. The implication of this research reveals that in order to increase the e-loyalty of the customers, it requires boosting OPV, engagement of consumers, trust, and commitment of the customer.

Metaverse technology is considered as the next big thing in this digital era and for companies to take part in its market potential, companies must understand the factors for its acceptance. While the technology acceptance is widely studied, the review of acceptance for metaverse technology is limited. This research aims to provide an empirical study on the technology acceptance for metaverse and identify key factors influencing consumers to adopt it. According to the literature review, the Technology Acceptance Model (TAM) is the most common framework used in the technology adoption area and therefore is used in this study. There are three factors adopted to formulate the hypotheses in influencing the consumer's intention to use metaverse technology of a consumer brand namely perceived consumer experience, perceived brand engagement, and gamification. This quantitative research is carried out through a structured survey instrument and uses a convenience sampling technique. Data collected from 110 Indonesian consumer are analyzed using a structural equation model with Smart PLS software version 3.2.9. The findings show that all three factors have positive and significant effect on the intention to use metaverse of the specific brand. Managerial implications for companies, contribution to academics and further studies are also described.

Project management teams have to deal with risks and uncertainties from the project portfolio level to the individual level. Furthermore, project complexity adds to the challenges faced by the project management team. Moreover, projects are performed by project management teams comprising various individuals from different backgrounds. While they perform their project tasks, they have to face dynamics in the projects that lead to major challenges or stress and bounce back from negative experiences to be less likely to experience the detrimental effects of intimidating, uncertain situations. This study aims to show the influence of multi-perspective factors on team resilience and to confirm how team resilience influences team performance. A descriptive, quantitative study was conducted to test the six hypotheses of the study. Data collected through purposive sampling and snowball techniques were analyzed using a structural equation model with SmartPLS software version 3.2.9. The finding shows that individual resilience from the individual perspective, team resources, team interactions from the team perspective and organizational practice all have a positive and significant influence on team resilience, but transformational leadership does not. Team resilience has a positive, significant relationship with team performance. Team resilience appears to have had a strong and significant effect on team performance in multiple industries in Indonesia during the COVID-19 pandemic. Research implications and suggestions for future research are also given.