Usage Behavior Research Articles

Determinants of Customers' Behavior for the Adoption of Green Banking Products and Services: UTAUT Model-Based Explanation

Increasing environmental concerns worldwide have spurred individuals and firms to emphasize eco-friendly practices in every walk of life. This study investigates the implication of the UTAUT model in the adoption of green banking products and services by customers in Pakistan. This study also explores behavioral intention as a mediator between explanatory variables and customers' behavior for the adoption of green banking practices. This quantitative study used convenience sampling and structured self-administered questionnaires for data collection. Structural Equation Modelling (SEM) was employed on the data collected from 305 customers of commercial and the results revealed a significant impact of performance expectancy, effort expectancy, enabling situation, conditional values, and emotional values on customers’ intention and behavior toward green banking practices. Moreover, facilitating conditions and social influence positively affect customers’ adoption of green banking products and services. Behavioral intention also fully mediates the link between performance expectancy, conditional values, emotional values, and usage behavior. Thus, bank management should consider these factors when creating green banking products and services. The current study focused on the customer perspective only, undoubtedly, it is very pivotal to understand the behavior of customers about green banking. But for a holistic coverage of the factors influencing the adoption of green banking, future research might focus on varied perspectives including bank management, bank employees, and SBP by using both quantitative and qualitative methods.

Impact of Social Media Fitness Contents on Health and Fitness Motivation of the Users

This research examines the effect of fitness-related information on users' health and motivation to exercise on social media. The study adopts a quantitative approach by distributing survey questionnaires to fitness enthusiasts. The results indicate a significant positive relationship between fitness content on social media and motivation levels. As your presence increases, so does the incentive.The research is also analyzing possible variables including age, gender, and behavior of social media usage which may have an impact on the user groups to have a clear picture of the differences among these groups. The importance and probity of these links are evaluated with regression models and correlation analysis. Moreover, results bring out the fact that social media plays a part in deciding health behavior. Guidance is given on utilizing it for treatments as well as steps to achieve fitness/health targets in the digital era.

Bridging the digital divide: The influence of digital feedback on the digital capabilities of the rural elderly

The aging population in China has made the digital divide among the elderly an eye-catching issue for society and academia. This study aims to address how to enhance the digital capabilities of seniors, narrow the intergenerational digital divide, and improve the elderly's adaptation to digital life. With a keen eye on digital feedback, this study explores the mediating effect model of digital feedback on the digital capabilities of the elderly. The empirical results derived from the survey of the rural elderly in China (N = 458) show that: 1.digital feedback, digital access, smartphone usage behavior, and digital capabilities are positively correlated with each other; 2. digital access and smartphone usage behavior play a chain-mediated role between digital feedback and digital capabilities; 3. The digital feedback, digital access, smartphone usage behavior, and digital capabilities of empty nesters in rural areas are lower than those of non-empty nesters. This study makes theoretical contributions to understanding how digital feedback affects the digital capabilities of the elderly.

Analyzing the Impact of Digital Transformation in Islamic Philanthropy using Utaut Model

This study aims to assess individual habits in adopting digital payment technologies in Islamic philanthropic institutions. This research uses the UTAUT model, which explains user behavior in relation to information technology adoption. The population of this study was people who have used digital payments in philanthropic institutions, e.g., M-banking, QRIS, e-wallet, e-money, crowdfunding, marketplace, etc. A sample of 250 respondents was obtained using a random sampling technique. The UTAUT model was performed using structural equation modeling (SEM) via SmartPLS. The results showed that all constructs had a significant positive impact, except for the effect of facilitating conditions on usage behavior. This study shows that the digitization of payment transactions is still aimed at the segment of well-informed technology users. Policyholders, therefore, need to become more involved in the digital transformation campaign, which targets all potential segments, e.g., the middle-aged working class. Due to this segmentation, they have a high awareness of donations in addition to the income opportunities.

Penggunaan Metode Technology Acceptance Model (TAM) dalam Analisis Sistem Informasi Alista (Application of Logistic and Supply Telkom Akses)

PT Telkom Akses Denpasar employees are assigned to provide and prepare materials in limited quantities and time. To be fulfilled, employees do work quickly including coordination, procurement, production, product supply, including daily administration and processing information from technicians to customers to make it easier to use the Alista application. Is the perception of interface design, system ease, system acceptance attitude, behavior of using the system measured by how much influence on the real condition of the use of the system that is trusted by employees. The method used to measure the results of research using TAM. Research sample of 78 employees. Based on the analysis results it is known that 35.2% of the four independent variables namely interface design, ease of system, attitude of system acceptance, behavior of system usage affects the real conditions of the use of information systems. The results of the respondents' scores were obtained from the results of a questionnaire from all respondents towards the variable of the question studied, the results of the TAM in the percentage of 44% of respondents' answers on average strongly agreed and 55% of respondents' answers agreed.

Measuring pedestrians' movement and building a visual-based attractiveness map of public spaces using smartphones

Accurately measuring the distribution of vitality in urban public spaces and evaluating the attractiveness index of landscape elements can enhance the precision of public space design and the rational planning of urban microupdate strategies. This study introduces a method based on the SLAM algorithm to create a 3D visual exposure analysis and applied in two squares in Macau to calculate the relationship between pathfinding decisions and visual exposure. The results demonstrate that both the extent of visual exposure (seen from the observer) and the area of isovist field (seen from the object) can statistically indicate the attractiveness index of a space. Consequently, an attractiveness map of the site can be constructed. This study effectively captures walking trajectories and visual data in real-world settings, integrating site-specific and pedestrian information into a digital twin system. This approach not only advances quantitative methodologies but also facilitates postoccupancy evaluations of public space usage and environmental behavior research, thereby expanding the potential for future investigations in this domain.

Predicting the electric power consumption of office buildings based on dynamic and static hybrid data analysis

Currently, building energy consumption accounts for a considerable proportion of the world's energy consumption, e.g., 35 % in China, which has become a key concern with its rising proportion. Accurate prediction of building hourly energy consumption is key to realizing green, low-carbon, and energy-saving modern buildings. However, most of the current prediction methods are only based on dynamic data from IoT (Internet of Things) systems that may contain a large number of outliers, resulting in lower accuracy and reliability. To solve this problem, with the help of rich data provided by BIM (Building Information Modelling), we propose an approach named dynamic and static hybrid data analysis (D&S-HDA) that can provide a solution with better prediction accuracy. Technically, the novelties of D&S-HDA are fourfold. Firstly, we establish the D&S-HDA framework to obtain more accurate prediction outcomes, where the electricity consumption prediction results based on dynamic data analysis are weighted with the estimation values based on static data analysis. Secondly, in the dimension of dynamic data analysis, we design an improved temporal convolutional networks (TCNs) for parallelly outputting dynamic data samples to make the prediction results more intuitive. Thirdly, in the dimension of static data analysis, a novel concept of building hourly power consumption coefficient(BHPCC) is proposed, and its calculation method using static data analysis is designed to estimate hourly electricity consumption. Finally, in order to validate the effectiveness of our D&S-HDA approach, we design multidimensional evaluation metrics and conduct multi-group comparative experiments under different conditions, including climate models, electricity usage behaviour and time scales. The experimental results reveal that the proposed D&S-HDA approach outperforms current mainstream works in terms of root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE), with values of 1.5248, 1.0693 and 2.9505, respectively, which shows the efficiency and feasibility of the proposed D&S-HDA.

Analysis of the Use of Distance Learning Technology in Universities in the Riau Islands Province with the Technology Acceptance Model (TAM)

The problem that is the focus of the research is the use of distance learning technology at universities in the Riau Islands Province using the Technology Acceptance Model approach. This research aims to analyze user perceptions on ease of use, usability, usage behavior, and use of distance learning technology. This research aims to determine user perceptions of distance learning technology in universities in the Riau Islands Province. Apart from that, this research also aims to evaluate the influence of the ease of use perspective, usability perspective, and usage behavior on the use of distance learning technology. The research results show that research respondents, who are academics and staff at universities in the Riau Islands Province, have a high perception of distance learning technology. From the test results, it was found that there was no significant influence between the ease of se perspective and the usability perspective on the use of distance learning technology. However, usage behavior has a significant influence on the use of distance learning technology. Apart from that, these three variables together have an influence of 69.70% on the use of distance learning technology.

The Impact of Social Media on Academic Performance, Health and Social Interaction of Students in University of Technology and Applied Sciences, Nizwa, Sultanate of Oman

The research aimed to contribute to investigate the impact of social networking media on academic performance, health and social interactions in Oman. It is a causal study as it studied the impact of social media usage on academics, social interactions and health. The study area was University of Technology and Applied sciences, Nizwa. The period of study was from February 2023 to May 2023. The total population of students studying in University of Technology and Applied Sciences, Nizwa is 5692 A sample of 242 students were selected for the study from four departments. Samples were designed from students in each department by using proportionate stratified sampling. Primary data was collected online using Google form, with the help of a structured questionnaire in English and Arabic. The findings of the study revealed that the correlation between social media usage and health issues is 0.174. There is a significant relationship between social media usage and its impact on health. Social media usage contributes only 3% to health issues on the students. The correlation between social media usage and social interactions and behaviour is 0.264. 7% of the variation in social behaviour can be predicted due to usage of social media. It is proved that there is a significant relationship between social media usage and its impact on social interactions and behavior of students. The correlation between social media usage and academic performance is 0.271. Social media usage contributes only 7% to academic performance of the students. It is proved that there is a significant relationship between social media usage and its impact on academic performance of students, their health and behaviour. There is no significant relationship between gender, department, level of study and grade with the usage of social media.

Understanding the acquisition, usage, and disposal behaviours in sustainable food consumption: A framework for future studies

Food sustains human life, but household food consumption impacts negatively on the environment. Therefore, many studies in the literature focus on sustainable food consumption. However, these studies are quite fragmented and study only some aspects of food consumption. By applying the thematic analysis approach to available studies in the literature, this research aims to build a framework covering all three phases of food consumption: the acquisition phase (purchasing ingredients), usage phase (cooking, eating, sharing leftover food), and disposal phase (food waste). The framework proposed in this research can become a more comprehensive reference source for future studies in sustainable food consumption topics. In specific, policymakers can use this framework to design effective campaigns/policies to promote sustainable food consumption practices of their residents. Future researchers can reference this framework to conduct more comprehensive studies on sustainable food consumption topics.

How reviews influence product usage post-purchase: An examination of video game playtime

Previous research on software products, such as video games, has largely focused on how user experience elements like visuals, audio, and content impact consumer engagement. However, these elements are internal factors controlled by the firm. It is equally important to identify and understand how external factors can influence usage and engagement. This study investigates the role of product reviews as an external factor that can shape post-purchase usage behavior for video games. We analyze data from the field and conduct two experiments to explore how reviews affect current owners' usage intentions and playtime. Our results suggest that negative reviews can decrease usage among current owners, in part due to concerns about appearing as an incompetent consumer. These findings highlight the power of product reviews beyond their intended audience of prospective buyers and offer implications for theory and firms alike.

Development of Research on Continuous usage Intention of M-Wallets: A Systematic Review of Literature from 2011 to 2021

Mobile payment usage must be maintained for mobile wallet companies to survive. Long-term user relationships can assist businesses in lowering costs and increasing profitability to retain customers which ultimately will lead to continuance intention. Despite M-wallets' relative maturity, a study in this sector has been limited to first acceptance/rejection. No study has particularly evaluated the technology's post-adoption impacts. Existing studies mostly examine the initial adoption of mobile wallet users and their antecedents. Though many people use M-wallets regularly, consistency is rare. Thus, both academic researchers and practitioners must investigate mobile wallet users' continued usage behaviour. This research conducts a thorough evaluation of the systematic review of literature on M-wallet continuous usage intentions from 2011 to 2021. The authors of this study employed systematic review methods to analyse the current state of continuous usage of M-wallet research. They identified current research streams and offered ideas for future research. The review identified the Geographic representation of mobile wallet continuous usage research, methodological approaches to investigate continuous usage intention of m-wallets, and popular theories adopted to investigate continuance intention. Through research synthesis, predictors and moderators/mediators of mobile wallets were also identified. The authors then discovered various service quality characteristics that demonstrated how trust, flow, and satisfaction—which have primarily been studied—had a direct impact on behavioural intentions as a result of service quality. The authors recommend the direction of potential future research in mobile wallets. This paper is a systematic review of the continuance usage of mobile wallets based on the dimensions of service quality and is one of the very few papers to offer a systematic review of continuous usage.

Evaluation of consumer usage behavior for interactive entertainment: A Netflix case study

The streaming business has been continuously rising in the market and movie streaming applications are trying to break boundaries. Netflix, one of the top streaming platforms hence created the interactive entertainment like Bandersnatch and Kaleidoscope to compete with the close call streaming platform market. As interactive entertainment continues to gain popularity, questions regarding how it affects user acceptance and satisfaction are being raised. Using the UTAUT2 model, this study analyzed the usage behavior of 847 valid respondents. Analyzing the latent variables simultaneously, structural equation modeling was considered to completely assess the usage behavior among users towards interactive entertainment. Results showed that facilitating conditions aside from behavioral intentions prompted the most significant factor, followed by hedonic motivation, habit, performance expectancy, and social influence. It was also seen that price value played a significant role with the account sharing capabilities provided by Netflix. Results have shown that watching interactive entertainment is a pleasant experience, wherein consumers would engage with the type of movies or series frequently when available and will spend more time in watching it. This presented a positive purchase intention for an account on Netflix when they are provided with more interactive entertainment among users. With Netflix’s establishment of the new way of entertainment, this study would provide a benchmark analysis of how likely people would consider interactive entertainment. Moreover, the findings of this study could be utilized by other streaming platforms, especially the companies that wanted to consider the path of future entertainment through interactive entertainment.

The mechanism analysis on the farmers’ motivation of using the quality traceability system based on TAM-ECM model

The quality traceability system for agricultural product plays an important role in tracing the production history or flow of agricultural products in China. At present, the quality traceability system is facing the problem of limited coverage and promotion. Understanding the continuous usage behavior of users can help solve this problem. This study constructed a model integrating TAM-ECM to analyze the mechanisms affecting the continuous usage intention and behavior of users of the quality traceability system, using PLS analysis method and survey data from 197 users of the GanNan navel orange quality traceability system with a usage time of up to two years. The results show that both satisfaction and usage habits directly promote the continuous usage of the quality traceability system. Lowering transaction costs significantly improves perceived value and satisfaction, and has a greater direct impact on satisfaction. Expectation confirmation level has a positive effect on perceived value, and lowering transaction costs also enhances perceived value. Perceived value、transaction cost, and satisfaction are important factors driving the continuous usage of the quality traceability system by users. The research findings provide a reference basis for the government to develop policies to attract users to use the quality traceability system for agricultural product.

Financial Technology: An Evaluation of the Integrated Model for Peer-to-Peer Lending Platforms in Indonesia

Purpose: The aim of this study is to examine the use peer-to-peer lending platforms in Indonesia by integrating Technology Acceptance Model (TAM), Theory of Trust, and Social Cognitive Theory (SCT). 
 Theoretical framework: The theory of this study is Technology Acceptance Model (TAM), Theory of Trust, and Social Cognitive Theory (SCT).
 Design/methodology/approach: The paper opted for an exploratory study using survey approach. 211 respondents were selected using snowball sampling to people who know about P2P Lending and have or were using the services provided by the platforms. Data analysis used Structural Equation Model-PLS by Smart-PLS 3.0 software
 Findings: The results show that self-efficacy is dominant in directly shaping individual’s behavioral intention for using P2P Lending and indirectly creating perceived ease of use. In theoretical perspective, the findings provide empirical evidences that the behavior of individuals in using information technology is determined by several factors included in the integrated model, by which literatures in system usage behavior are enriched. 
 Research, Practical & Social implications: The study also contributes to practices by providing considerations for the government in their effort of making policies related to online loans and for service providers in updating their technology. 
 Originality/value: This study identifies factors influencing the behavioral intention of lenders and borrowers to use P2P Lending through integration of three models: Technology Acceptance Model, Theory of Trust, and Social Cognitive Theory.

“I can't look at you while talking!” – fear of missing out and smartphone addiction as predictors of consumer's phubbing behavior

PurposeSmartphones have become a vital element of daily life and because of this ongoing reliance, consumer' attention is drawn to online platforms, which may harm societal communications. Therefore, this paper investigates a behavioral addiction known as “fear of missing out” (FoMO), which causes anxiety and leads to more problematic smartphone usage and phubbing behavior (PB). In addition, this paper examines the multidimensional perspective of smartphone addiction (SMA) and the moderating role of Big 5 personality types in the aforesaid relationship.Design/methodology/approachAn online questionnaire was administered, to collect data from 468 smartphone users from universities across India. Partial least squares structural equation modeling and Hayes' PROCESS macros were employed as statistical tools for analysis.FindingsResults highlight that there is a significant association between FoMO and PB with SMA as a significant mediator with partial mediation effect.Originality/valueConscientiousness, neuroticism and extroversion were found to be significant moderators in the model. Further, the findings raise awareness regarding smartphone etiquette and additional technology literacy required in this field.

Assessing indirect effect of behavioral intentions on financial inclusion – a serial mediation model

PurposeThe research examines how behavioral intentions, as a higher-order construct, indirectly affect financial inclusion through service trust, usage behavior and financial literacy in mobile money adoption.Design/methodology/approachFollowing the positivist research philosophy, a cross-sectional study design was used to collect data through questionnaires comprised of scales adapted from prior studies. With a usable sample size of 340 respondents, this study employs partial least squares structural equation modeling to assess the model.FindingsThe study revealed the significant indirect role of behavioral intention on financial inclusion through use behavior, behavioral intentions on use behavior through service trust, and use behavior on financial inclusion through financial literacy. The role of behavioral intentions on financial inclusion through serial mediation of service trust, use behavior and financial literacy was also found to be significant.Originality/valueThis study's novelty resides in examining the indirect relationship between behavioral intentions and financial inclusion, specifically via the serial mediation of service trust, use behavior and financial literacy.

Determinants of adopting eCourier services: the moderating role of resistance to change

PurposeThe purpose of this paper is to understand the determinants affecting the adoption behavior of eCourier services and to establish a moderating role of resistance to change between behavioral intention and actual usage behavior.Design/methodology/approach Data were collected through a survey questionnaire that was distributed to the eCourier users. A total of 260 collected data were analyzed by using structural equation modeling.Findings The results of the study demonstrate that all the factors considered for the study have a significant impact on the adoption of eCourier except social influence and customer service. The results also confirm that there is no moderating effect of resistance to change in the relationship between behavioral intention and actual usage.Practical implications This research provides theoretical contribution by extending the practical knowledge focusing on the adoption intention of eCourier, and actual usage behavior using Unified Theory of Acceptance and Use of Technology model—a pertinent and unresearched topic in the existing literature that presents a number of potential avenues for further study.Originality/valueThis study provides a general understanding of consumers in underdeveloped nations and advances earlier research on the usage of e-commerce in the courier sector.

Validity of instrument to measure primary school mathematics teachers’ acceptance of m-learning applications

<span lang="EN-US">Mobile learning (M-learning) is one of the proposed technology-based methods for teaching mathematics in today’s education 4.0 era. This method enables teachers to conduct instruction and learning without being bounded by walls, wires, and the need for specialized physical infrastructure and facilities. This study was conducted to develop and validate an instrument for evaluating primary school mathematics teachers’ acceptance of M-learning applications in problem-solving teaching involving six variables. This research is quantitative and utilizes a questionnaire to collect data. This study involved a total of four experts and 120 participants. Cronbach’s alpha and Exploratory Factor Analysis were used to perform a descriptive analysis of the data. Cronbach’s alpha was determined to be 0.934, with a factor eigenvalue greater than 1. The Kaiser–Meyer–Olkin value for each construct is 0.50, whereas Bartlett’s test value is statistically significant (<0.5). Each item has a factor loading of 0.50 and a variance of ≥60%. The findings showed that this instrument contains six constructs and nineteen appropriate items. It also indicated that this instrument could be used to investigate perceptions of the primary school mathematics teachers’ acceptance of m-learning applications in problem-solving teaching instruments involving performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, and usage behavior (attitude).</span>

A Literature Review on the Charging Behaviour of Private Electric Vehicles

Electric mobility is one of the ways of containing greenhouse gas and local pollutants emissions in urban areas. Nevertheless, the massive introduction of battery-powered electric vehicles (EVs) is introducing some concerns related to their energy demand. Modelling vehicle usage and charging behavior is essential for charge demand forecasting and energy consumption estimation. Therefore, it is crucial to understand how the charging decisions of EV owners are influenced by different factors, ranging from the charging infrastructure characteristics to the users’ profiles. This review examines the approaches used to investigate charging behavior and highlights the trends and differences between the results, remarking on any gaps worthy of further investigation.