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Tech-savvy Generation Z will dominate the global population. Thus, in order to stay competitive, it is essential for a business that targets this demographic to understand this generation’s characteristics. The present research measured the behavioral nature of Generation Z in using the electronic wallet (e-wallet). Specifically, the present research highlighted online and in-store transactions. The measurement in this research was done by using the famous Theory of Planned Behavior (TPB) model. A multivariate analysis with Structural Equation Model (SEM) was conducted, and six hypotheses were proposed. A questionnaire was used as the instrument development to gather the data needed for the purpose of this study; 155 respondents participated. The result showed that the TPB model was appropriate in revealing the Generation Z intention on e-wallet’s usage. Statistical findings and practical perspectives were also discussed in this paper. E-wallet providers can use the result derived from this study to develops their marketing strategies.

Purpose of the study: This study is aimed to analyze the factors which influence the Intention of the Indonesian public to take personal protective measures and follow the stay-at-home order. Methodology: This study was a cross-sectional study, using an instrument of an online questionnaire consisting of 75 questions. A total of 8 hypotheses, built on the foundation of the TPB and PMT model, was tested. The hypotheses were tested using a Structural Equation Modeling (SEM). An online questionnaire was distributed in May 2020 with the target population of the Indonesian public, especially the ones who have a stay-at-home order in their cities. Main Findings: All 8 hypotheses were accepted. In the TPB model, It was revealed that Attitude (AT), Subjective Norms (SN), and Perceived Behavioral Control (PBC) significantly affect the public Intention to take personal protective measures. While in the PMT model, Perceived Vulnerability (PV), Perceived Severity (PS), Self-efficacy (SE), Response Efficacy (RE), and Response Cost (RC) have significant relationships with the public Intention to follow a stay-at-home order. Applications of this study: Perceived Behavioral Control (PBC) is found to be a powerful predictor of the public Intention to take personal protective measures while for the compliance towards stay-at-home order, Response Efficacy (RE) is found to be a powerful predictor. Therefore, governments and public health organizations are encouraged to focus on giving educations to the public of how a stay-at-home order could be a crucial thing to do in combating COVID-19 promoting to the public that taking personal protective measures is a good thing and not a hard action to do. Novelty/Originality of this study: We addressed COVID-19 in a novel way, which is understanding people's underlying psychological factors that influence particular COVID-19 related behaviors. By doing so, this study helps researchers and policymakers in making the appropriate policies and recommendations in slowing the spread of COVID-19.

Working From Home (WFH) technologies has been used and discussed for a long time The many positive benefits of WFH technologies, including its potential to create a more sustainable work activity, attracted many studies to gain a better understanding of this subject This study is interested to understand the different factors, including environmental, influencing WFH technologies acceptance in this current shifting situation stimulated by the Covid-19 pandemic An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, employing Environmental Concern, was used The model was assessed by using the structural equation model The total of 172 respondents participated in this research The total of 5 hypotheses was tested The present study's model is able to predict 57 4% of WFH Technology acceptance Finally, discussion and recommendations to businesses that are currently taking WFH measures during the Covid-19 pandemic were presented

The present research exhibits the measurement of university students’ behavioural intention in using blended learning system. Two representative cases from a developed region and a developing region were assessed in the present measurement. Two well-known models, namely the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB), were used as the measurement tools. The total of six hypotheses were tested. The result revealed the suitability of TAM-TPB model in interpreting the sample students behavioural intentions’ for both regions. The result also showed that for the Taiwanese data, five out of six hypotheses were accepted. For the Indonesian data, only four out of six hypotheses were exhibiting acceptable statistical measurement. Several recommendations, such as creating a more social-oriented blended learning system for developed countries was recommended. Utilising the favourable feeling shown by developing countries students to create a better blended learning system, was also highly suggested to be considered for improvement.

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide.

Online food delivery service (OFDS) has been widely utilized during the new normal of COVID-19 pandemic especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction & loyalty in OFDS during the new normal of COVID-19 pandemic in Indonesia by utilizing an extended Theory of Planned Behavior (TPB) approach. 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that Hedonic Motivation (HM) was found to have the highest effect on customer satisfaction, followed by Price (P), Information Quality (IQ), and Promotion (PRO). Interestingly, this study found out that usability factors such as Navigational Design (ND) and Perceived Ease of Use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.

Online food delivery service (OFDS) has been widely utilized during the new normal of COVID-19 pandemic especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction & loyalty in OFDS during the new normal of COVID-19 pandemic in Indonesia by utilizing an extended Theory of Planned Behavior (TPB) approach. 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that Hedonic Motivation (HM) was found to have the highest effect on customer satisfaction, followed by Price (P), Information Quality (IQ), and Promotion (PRO). Interestingly, this study found out that usability factors such as Navigational Design (ND) and Perceived Ease of Use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.

The COVID-19 pandemic has had a great impact on the fitness centers industry. The purpose of this study is to analyze the preference of gym-goers on fitness centers in the Philippines during the COVID-19 pandemic by utilizing a conjoint analysis approach. One thousand gym-goers voluntarily participated in this study and answered 22 queries created from the orthogonal design. The results indicated that Price was the highest attribute considered (21.59%), followed by Ventilation (17.56%), Service (16.59%), Trainer (14.63%), Payment Method (11.95%), Operating Hours (8.90%), and Login (8.70%). The results also indicated that comfort, security, and fitness center services were the main aspects that gym-goers would consider as their main preference. The study highlighted how gym-goers are sensitive to the price set by the fitness centers. Moreover, due to the COVID-19 pandemic, ventilation and size are considered highly important attributes among gym-goers. Comfort, safety, and security are the main consideration to have sustainable fitness centers during and even after the COVID-19 pandemic. The outcome of this study may benefit fitness centers and increase their business market by considering the preference of customers. Finally, the result of this study can be utilized by fitness centers to promote a generalized fitness center for gym-goers of different generations, statuses, and even socioeconomic status during and even after the COVID-19 pandemic.