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The COVID-19 pandemic had brought changes to individuals, especially in consumer behavior. As the government of different countries has been implementing safety protocols to mitigate the spread of the virus, people became apprehensive about traveling and going out. This paved way for the emergence of third-party logistics (3PL). Statistics have pro...
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... combination of parameters only provided accuracies close to 90-95%. Figure 4 represents the optimum ANN model using Tanh as the AF for the hidden layer and Softmax for the output layer. With Adam as the optimizer, the ANN model with 50 nodes in the hidden layer resulted in a 98.56% accuracy. ...
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This study focused on the impact of Netflix’s interactive entertainment on Filipino consumers, seamlessly combining vantage points from consumer behavior and employing data analytics. This underlines the revolutionary aspect of interactive entertainment in the quickly expanding digital media ecosystem, particularly as Netflix pioneers fresh content...
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... [ [71][72][73] AT2 I have a positive attitude towards using e-jeepneys because I consider them to be an environmentally responsible choice. ...
... [ [73][74][75] PBC2 I feel confident in my ability to use e-jeepneys effectively and navigate their routes and schedules without difficulty. ...
... I strongly intend to use e-jeepneys for my daily commuting needs in the near future. [35,37,73] BI2 I am highly motivated to use e-jeepneys as my primary mode of transportation, and I plan to start using them soon. ...
The implementation of e-jeepneys stands as a change process that will eventually transition to the modernization of the public transport system in the Philippines. To address concerns about jeepneys’ effects on the environment, energy use, society, the economy, and policies, their acceptability in the Philippines must be considered. This research study aims to identify the sources of influence on Filipinos’ adoption of e-jeepney utilization as a mode of transportation using the extended Pro-Environmental Planned Behavior (PEBP) model. A total of 502 commuters voluntarily answered the survey questionnaire. Based on the findings, perceived environmental concern (PEC) is the most significant determinant influencing attitude (AT) and, thus, affecting the Filipinos’ behavioral intention (BI) towards the adoption of e-jeepneys. Conversely, AT was the primary determinant of BI, which strongly supported the notion of AT as a strong driving force shaping behavioral decisions. Moreover, perceived authority support (PAS) emerged as a strong predictor of subjective norms (SNs), demonstrating the influence of institutional support on societal perceptions. As a result, more environmentally conscious people are more likely to view e-jeepneys positively and intend to use them as a mode of transportation. The endorsement or support from authoritative figures or institutions notably influences subjective norms, which are individuals’ perceptions of social pressures regarding the use of e-jeepneys.
... This leads to multiple path analyses and raises the error of calculation. A higher-order reflective construct may be employed as long as the domains are grounded by established theories [87]. Hence, the current study utilized this approach to examine the latent variables influencing health beliefs and conduct a behavioral analysis of fad diets using SMART-PLS v3.0 software. ...
The surge in popularity of fad diets has raised concerns about compromised health among individuals due to their beliefs and intentions regarding consumption. The aim of this study was to examine the prevalence of fad dieting among persons who are dieting and to determine the different factors influencing the inclination to adopt fad diets. Specifically, this study explored the ways in which individual openness to following fad diets, participation in diet trends, and characteristics may influence attitudes towards fad diet adoption. Data from 407 participants aged 18–34, collected via Google Forms, were analyzed using a high-ordered construct approach between the theory of planned behavior (TPB) and health belief model (HBM). Employing partial least squares structural equation modeling, significant results were obtained. The key findings revealed that knowledge about dieting, perceived benefits, and health motivation significantly influenced individuals’ intentions to adopt fad diets. Additionally, the study demonstrated significant impacts of health motivation on attitude and perceived behavioral control, subsequently affecting individuals’ intention to adopt dietary practices. Practical implications include the development of tailored health communication strategies for government agencies and informed decision-making support for individuals considering adopting fad diets. This research contributes valuable insights into the perception and psychological and social factors shaping dietary decisions, laying the groundwork for enhanced health education and intervention strategies. Furthermore, the study’s theoretical framework offers potential for extension and application to health-related food consumption behaviors across diverse cultural contexts.
... Moreover, another goal of this research is to apply machine learning techniques to supplement and improve existing modeling approaches, resulting in a more robust and complete knowledge of the factors impacting Netflix user behavior in the Filipino environment. According to past studies [24,25], the use of machine learning algorithms can enhance and validate conclusions, since other studies have shown the limits of multivariate analyses such as Structural Equation Modeling [26]. With this, the study was able to identify patterns and connections across these characteristics through rigorous data analysis, allowing for a more sophisticated understanding of how Filipinos interact with Netflix and its interactive entertainment as a streaming platform. ...
... The data points were cleaned using correlation analysis following numerous studies as a means of implementing a feature selection technique [24,25]. A correlation coefficient of 0.20 with a p-value of 0.05 was chosen for significant indications. ...
This study focused on the impact of Netflix’s interactive entertainment on Filipino consumers, seamlessly combining vantage points from consumer behavior and employing data analytics. This underlines the revolutionary aspect of interactive entertainment in the quickly expanding digital media ecosystem, particularly as Netflix pioneers fresh content distribution techniques. The main objective of this study was to find the factors impacting the real usage of Netflix’s interactive entertainment among Filipino viewers, filling a critical gap in the existing literature. The major goal of using advanced data analytics techniques in this study was to understand the subtle dynamics affecting customer behavior in this setting. Specifically, the random forest classifier with hard and soft classifiers was assessed. The random forest compared to LightGBM was also employed, alongside the different algorithms of the artificial neural network. Purposive sampling was used to obtain responses from 258 people who had experienced Netflix’s interactive entertainment, resulting in a comprehensive dataset. The findings emphasized the importance of hedonic motivation, underlining the requirement for highly engaging and rewarding interactive material. Customer service and device compatibility, for example, have a significant impact on user uptake. Furthermore, behavioral intention and habit emerged as key drivers, revealing interactive entertainment’s long-term influence on user engagement. Practically, the research recommends strategic platform suggestions that emphasize continuous innovation, user-friendly interfaces, and user-centric methods. This study was able to fill in the gap in the literature on interactive entertainment, which contributes to a better understanding of consumer consumption and lays the groundwork for future research in the dynamic field of digital media. Moreover, this study offers essential insights into the intricate interaction of consumer preferences, technology breakthroughs, and societal influences in the ever-expanding environment of digital entertainment. Lastly, the comparative approach to the use of machine learning algorithms provides insights for future works to adopt and employ among human factors and consumer behavior-related studies.
... In the Algerian context, a study found a positive effect on one's attitude to their willingness to purchase organic food when environmental concern exists [56]. The findings of Hasan [57] and German et al. [58] also recommended that SNs and PBC strongly influence consumers' perceived value in green buying intentions and have positive impacts on them. Hence, the following hypotheses were established: ...
Concerns over sustainability have recently drawn more attention in a post-COVID-19 environment, particularly from developing countries. This heightened global awareness of sustainability highlights the importance of comprehending consumer behavior in purchasing green products. This study utilized an extended theory of planned behavior (TPB) called the sustainability theory of planned behavior (STPB) to holistically assess the behavioral intention among green consumers in a particular developing country: the Philippines. Convenience sampling was used with 500 participants, and 54 modified questions were distributed online. Different factors, such as perceived environmental concern, perceived economic concern, perceived authority support, subjective norm, attitude, perceived behavioral control, customer perceived value, and purchasing intention, were assessed concurrently through the structural equation modeling (SEM) approach. Through this, it was discovered that all the STPB predictors were significant drivers affecting the consumers’ purchasing intention, with customer perceived value having the highest direct effect. Moreover, it was found that the relationship between perceived economic concern on subjective norms and perceived behavioral control was insignificant. Further implications and comparisons were made based on the results of the study. The study’s findings can be utilized to help policymakers and marketers devise strategies that will effectively encourage sustainability through targeted interventions and increased product awareness. The study has validated the integration of new constructs into the TPB, enhancing the predictive power of the proposed model for assessing the behavioral intention to purchase green products. Thus, the model construct can be applied and utilized to investigate other topics regarding sustainability.
... The study's framework, shown in Figure 1, shows how consumers' intentions to buy sustainable goods from name-brand stores in a developing nation were ascertained using an improved theory of planned behavior called the sustainability theory of planned behavior (STP). The enhanced theory of planned behavior in the study added three factors, which are perceived economic concern (PEEC), perceived environmental concern (PENC), and perceived authority support (PAS) under the domains of sustainability [18] while maintaining elements such as subjective norms (SNs), attitude (AT), perceived behavioral control (PBC), customer-perceived value (CPV), and behavioral intention (BI), giving a total of eight latent variables used in this study. PENC is defined as a measurement for an individual's awareness and mindfulness of environmental concerns and an individual's willingness to solve and answer environmental issues [41]. ...
... PAS is the evaluation of an individual's understanding of the resources, guidelines, policies, and actions that could be supplied by the government or an authorized institution in order to carry out special actions [18]. The effect of government support on consumers may encourage them to make green decisions [52]. ...
... Both AT and PBC are highly significant antecedents of people's intentions and consumer choices of products, while SNs are also a significant antecedent but not as high as the two factors mentioned, suggesting that these three factors have a relationship with the customer's choice and preference for green products [58]. The results of the study by German et al. [18] also indicated that both A and PBC have a strong positive correlation and influence on CPV, and this has a direct impact and influence on the BI of consumers. Therefore, this study hypothesized the following: ...
Over the years, the overconsumption of natural resources has been an issue of concern. Companies have been inducing sustainable practices and approaches to help the environment. By specifically applying the sustainability theory of planned behavior, this study sought to extensively investigate behavioral preference and intention to buy green and sustainable products across name-brand businesses in a developing country. Utilizing Structural Equation Modeling, this study examined responses from 300 valid participants. The results revealed that consumers’ purchasing preferences and intentions are affected by customer expectation for the products, by the government, and by customer concern for the environment. It was seen that customers are prepared to pay extra for name-brand stores that sell eco-friendly or sustainable goods. In accordance, consumers’ purchase intentions are greatly affected by the customer preference or expectation for a product, as the findings indicate that customer-perceived value has the highest influential and consequential relationship to behavioral purposes. Customers are inclined to purchase eco-friendly goods if the sustainable product meets the requirements and expectations of the consumer. Furthermore, consumers’ purchasing intentions in buying green products from name-brand shops are also affected by the government, individuals’ environmental concerns and awareness, individuals’ personal needs and beliefs, society, and individual attitudes. For name-brand stores, consumers’ behavioral intentions to purchase environmentally friendly and sustainable goods are the most strongly associated with their perception of their own value, followed by perceived authority support and perceived environmental concern. The findings and results of this study can be relevant in understanding and exploring consumers’ behavioral intentions to purchase green products from name-brand shops.
... Moreover, the statistical analysis demonstrated that as women's attitude towards Fintech services became more favorable, their intention to adopt these services also increased. This result aligns with the original TAM (Davis, 1989), which underscore the crucial role of attitude in shaping behavioral intention (German et al., 2022). ...
Understanding the factors influencing women in adopting and utilizing financial technology (Fintech) serviceswill not only contribute to reduce the gender gap but will also accelerate financial inclusion. The main objectiveof this research is to examine the antecedents of behavioral intention and use behavior by extending theTechnology Acceptance Model (TAM) of women in Indonesia, considering the mediating effect of governmentsupport, digital financial literacy and value of status quo in post-Covid-19 pandemic. Further, this study exploresthe potential differences in the determinants of use behavior between urban and rural respondents. By analyzing403 Indonesian women respondents using Partial Least Square Structural Equation Modeling (PLS SEM), thisstudy revealed that attitude has the most significant effect in explaining behavioral intention and value of statusquo gained the greatest impact on use behavior in post-Covid-19 outbreak. Government support and digitalfinancial literacy play a significant role with small effect size, while value of status quo has large effect size, inmediating the relationship between behavioral intention and use behavior. The finding also documented that theimpact of government support on use behavior differs between urban and rural individuals. These findingshighlight the need for a different government strategy to increase Fintech adoption for women residing in bothurban and rural areas in Indonesia
(1) (PDF) Factors Influencing Fintech Adoption for Women in the post-Covid-19 Pandemic. Available from: https://www.researchgate.net/publication/378276449_Factors_Influencing_Fintech_Adoption_for_Women_in_the_post-Covid-19_Pandemic [accessed Feb 23 2024].
... This technology streamlines processes such as order fulfillment and engenders connectivity among all parties in the SC, including transportation companies, distributors, manufacturers, and retail entities (Prataviera et al., 2021). In the current era, the reliance of logistics-dependent companies on 3PLs is intensifying, primarily to leverage cutting-edge IT solutions that these providers offer (German et al., 2022). Such technological prowess is essential for 3PL companies, enabling the adaptation of complex SC operations and establishing a communicative bridge between customers and logistics users (Tiwari et al., 2023). ...
... Habit refers to repetitive and automatic behaviours that individuals perform in certain situations without much conscious thought (German et al., 2022). It becomes a routine or ingrained pattern of action. ...
... It is about recognizing environmental issues and how dedicated someone is to address them. When people hold a strong concern for the environment, they tend to engage in actions that support its well-being, such as recycling or conserving energy (German et al., 2022). On the other hand, if this concern is lower, such actions might not be as important. ...
Global warming is one of the main issues discuss by nations leaders. It is a crucial problem that needs to be address immediately. One of the solutions to global warming is green vehicles. Hybrids and electric vehicles are not new products in the automobile market. Unfortunately, the sales percentage for both types of green vehicles are still behind the petrol engine vehicles. Regardless of the world leaders’ dream to fill the street with green vehicles by 2035 in developed countries, the dream is still far from reality. As for developing countries, the people are more familiar with hybrid vehicles compare to electric vehicles. Other than that, the consumer perceptions regarding green vehicles are not all in positive aspect. Green vehicles are more associated as luxury goods in consumer perspective. There are also critics on the reliability and durability of the green vehicles as consumers find trouble to believe that green vehicles could compete with petrol engine vehicles. This paper identifies factors that could influence consumer to purchase green vehicles. Thus, providing a better insight in promoting green vehicles to consumers.
... German et al. [13] Artificial Neural Network (ANN) and Random Forest Classifier (RFC) methods ...
Background: Due to increased globalization and its subsequent rise in competitiveness, therole of supply chain services (3PL) in managing logistics, reducing operational and non-operationalcosts, and managing customer and supplier relationships, have become of utmost importance.Customer-centric production has led to the development of a close relationship between productionprocesses. Amidst all this, the demand for logistic services has dramatically increased, thus puttingmore pressure on firms for enhanced operational results, and leading to the outsourcing of theirinternal and external logistic activities. On the other hand, supply chain firms that provide 3PLservices seek to enhance their sustainability and predict their customers’ demand. Methods: Theauthors collected quantitative data from 81 firms that operate in various industrial sectors in Greece.A questionnaire was sent for completion, in which firms could rate and evaluate various aspects thatwere discerned as important for deciding to cooperate with a 3PL service provider and maintain thiscooperation in the long run. To extract the required outcomes, statistical analyses like categoricalregression (CATREG) and MANOVA were utilized. Results: The demand for 3PL services was affectedby 3PL service providers’ operational performance based on accuracy, reputation, and IT capabilities,while the customer firms’ intention for maintaining cooperation with 3PL service providers wasaffected by their reliability level, improved service efficiency, and trustworthiness. Conclusions: 3PLservice providers should seek to improve the reputation, IT infrastructure, and accuracy of their firm’soperations to have a continuous demand for their services. Apart from that, 3PL service providers tomaintain the cooperation with their customers, need to enhance the levels of their services reliabilityand efficiency, while also creating a bond of trust with their existing customers.
... Changes in how to implement learning at the beginning of the Covid-19 pandemic also occurred in the implementation of vocational education in both secondary and higher education [6][7][8]. VE with a more dominant practical learning process than theoretical learning certainly requires more innovation in models, strategies, methods, and learning media, especially practical learning [3,9,10]. Several innovations have been made to make practical learning carried out remotely run optimally like face-to-face learning in the laboratory. ...
This study discusses the validity test analysis of a Virtual Laboratory-Based Job Sheet (VLBJS), which is used as a practicum learning medium for vocational education students in higher education. The Virtual laboratory-based Job Sheet is used as a practicum guide for students in the Power Electronics Practicum Course, at the Department of Electrical Engineering, Universitas Negeri Padang, Indonesia. Validity test analysis is important to ensure that this VLBJS is suitable for use in the learning process. This study involved 18 experts: learning material experts, learning media experts, and language experts. The rubric for assessing validity with a Likert scale was used to collect the research data. The validity test analysis was carried out based on the results of the expert's assessment by filling out the validity assessment instrument. Partial Least Square (PLS) analysis was used to analyze the validity and reliability of the indicators of each variable in the research instrument. Meanwhile, the analysis of validity tests on Virtual Laboratory-Based Job Sheets was carried out using the Aikens' V formula. The results showed that Virtual Laboratory-Based Job Sheets met the valid criteria from all aspects, namely the aspects of learning materials, learning media, and language. Thus, it can be concluded that the Virtual Laboratory-Based Job Sheet is valid as a practicum guide for vocational education students in the Power Electronics Practicum learning process.
