While teaching quality has been widely studied, this work advances the domain literature by evaluating the factors influencing teaching quality in order to determine their causal relationships and eventually identify those crucial factors. With ten factors obtained from a comprehensive review of literature, the neutrosophic decision-making trial and evaluation laboratory (DEMATEL) method is used to model these factors in the case of public universities in the Philippines. The DEMATEL handles the causal relationships among factors of teaching quality, while the vagueness associated with domain experts eliciting judgments within the DEMATEL is modeled in single-valued neutrosophic numbers. Findings reveal that individual characteristics, psychological characteristics, and institutional culture are key factors of teaching quality, while institutional resources and student composition are minor key factors. Higher education institutions (HEIs) must pay more attention to these factors in designing different initiatives, as they are crucial in shaping teaching quality. These findings offer important insights for HEIs in their recruitment and hiring decisions, strategic road mapping for building an institutional culture that values teaching quality, establishing student composition schemes, and resource allocation decisions for promoting institutional resources that drive teaching quality initiatives. Some policy takeaways and avenues for future works are also discussed.

The University technology transfer (UTT) process is hindered by various barriers to achieving a successful translation of innovative technologies from universities to industries and other partners. Identifying these various barriers and understanding their interrelationships would provide a better understanding of the complex nature of the UTT process, which may be considered as inputs to crucial decision-making initiatives. This paper addresses this gap by holistically determining UTT barriers and their intertwined relationships. Using the Delphi method and fuzzy cognitive mapping, a case study in a state university in the Philippines was conducted to carry out this objective. The Delphi process extracts 24 relevant barriers of UTT, out of 46 barriers obtained from a comprehensive review of the extant literature. The results show that misalignment between research and commercialization objectives is the barrier that was influenced most by the other barriers. In contrast, high costs of managing joint research projects in terms of time and money and institutional bureaucracy have the highest out-degree measures or are the barriers that influence other barriers the most. These findings provide guidelines to various stakeholders and decision-makers in understanding the existence of barriers in the formulation of strategies and initiatives for a successful UTT process.

This study explored how teachers' peer support climate (PSC) and supervisory support climate (SSC) were related to teacher self-efficacy (TSE), teacher job satisfaction (TJS), teacher emotional exhaustion (TEE), and motivation to quit the teaching profession (MQTP) among teachers in the Philippines. Participants were 457 teachers in the Central Visayas Region. Structural equation modeling (SEM) indicated that MQTP varies as to self-efficacy, emotional exhaustion, and job satisfaction. Responses among all constructs do not vary among novice and experienced teachers except on TJS. The findings of the research advocate the proposed model. The model can guide future researchers in developing countries like the Philippines to explain teachers’ attrition caused by social support, efficacy factors, burnout, and job satisfaction.

To promote efficient use of electrical energy, technology-based solutions, along with their corresponding user acceptance assessments, have been seen to facilitate goal fulfillment concerning desired functionality and expected benefits, in an open innovation fashion. This paper simultaneously develops an electrical energy consumption monitoring system (EECMS) device that shall monitor and control the use of energy in real-time and assesses its acceptability to users according to the extended technology acceptance model (TAM) approach. This proposed EECMS device is tested in an academic institution in the Philippines, and it is found that the device can function as desired as well as render a significant favor from its users according to additional key constructs. As such, future developments of the device are encouraged to enhance key constructs identified as suitable for future adoption.

The coronavirus disease (COVID-19) pandemic has threatened the capability of academic institutions to continuously deliver quality education despite the worldwide lockdown implemented to curb the transmission of the dreaded disease. As a result, institutions are forced to take advantage of supplementary digital technology to support online learning. Recognizing that an expert-based approach is deemed necessary to carefully execute the decision-making process of utilizing digital technology, this paper provides a new perspective of assessing the constructs of digital technology utilization with the use of fuzzy decision-making trial and evaluation laboratory (DEMATEL). Among the constructs considered, burnout (BO), technostress (TS), goal incongruence (GI), and reflexivity (RE) are found to be effects of other causal constructs. These findings offer crucial insights into the evolving literature of COVID-19 on education, particularly on informing the design of initiatives and measures to support the use of digital technologies as may be necessary.