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The acceptance and perception of people regarding 3D bioprinted meat are considered as primary concerns but have not been widely evaluated. This study aimed to determine how biospheric, altruistic, egoistic, ecological worldviews, awareness of consequences, social norms and personal norms affect the consumption intention of 3D bioprinted meat as a future food source.

The values-beliefs-norms theory grounded this study. An online survey was conducted with 600 valid respondents for analysis utilizing the structural equation modeling method.

It was found that the ecological worldview had the highest significance, and biospheric and egoistic values positively impacted individuals’ ecological worldview. The awareness of consequences and social norms was also seen to directly influence personal norms, leading to consumption intention. However, it was determined that altruistic values toward an ecological worldview had no significant effect, as an individual's moral values are not affected by other people's well-being.

This study was able to assess and discover the positive consumption intention among Filipinos, highlighting societal norms and pro-environmental behavior. The findings may help manufacturers market 3D bioprinted meat effectively and aid studies on environmentalism, social movements and consumer behavior, leading to acceptance of the development and proliferation of cultured meats.

There have been no studies on cultured meats such as 3D bioprinted meat in the Philippines. The current study was able to fully assess the pro-environmental behavior among Filipinos and intention for 3D bioprinted meat against the generic behavioral assessment among related studies. Comparison was presented based on the findings.

The healthcare system in the Philippines has insufficient patient and personnel management, inefficient inventory systems and disorganized medical record-keeping, contributing to unsatisfactory patient care. This occurrence calls for a centralized database, like enterprise resource planning (ERP) systems that manage healthcare systems efficiently. This study utilized partial least squares-based structural equation modeling and random forest classifier (RFC) to identify the factors influencing the adoption of ERP systems in secondary healthcare institutions.

The study proposed an extended unified theory of acceptance and use of technology framework integrated with the valence model to define behavioral intention and use behavior of ERP systems. A self-administered online survey was answered by 250 secondary healthcare stakeholders in the Philippines voluntarily.

Effort expectancy, performance expectancy and social influence result in a very high behavioral intention, leading to the use behavior of ERP systems, while facilitating conditions and innovativeness in information technology led to high significance. Price value and perceived benefits are significant factors. RFC was proven reliable in predicting the factors, with an accuracy of 96%, indicating that the proposed framework can be used in future research to examine enterprise system adoption in different healthcare facilities.

There has yet to be a study that covers ERP in the Philippines, let alone its adoption. Since the ERP system is relatively present for a certain period of time, its adoption among healthcare facilities has not been covered in the Philippines. This study is the first to decipher and understand the ERP adoption and its practical implications.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.