Willingness Of Users Research Articles

Research on the willingness of Chinese mobile payment APP users to continue to use from the perspective of status quo bias

Based on the status quo bias, explore the impact of brand attachment on the continuous use of mobile payment platform users. Introducing the S-O-R model, which takes sunk costs and conversion costs as stimuli, ultimately affecting users’ willingness to continue using through brand attachment. Conduct a questionnaire survey and conduct empirical analysis. Finally, it was found that sunk costs and conversion costs positively affect brand attachment, and brand attachment positively affects user willingness to use

Matching audio/video app features with young user preferences: An integrated approach

AbstractAudio/video mobile applications (apps) enable people to engage in leisure activities without time and space restrictions, which gradually changed human leisure behaviours. This study is one of the first to integrate means‐end chain theory, Kano and conjoint analyses to reveal young user preferences for entertainment audio/video mobile apps. A preliminary qualitative survey with 36 young interviewees established the questionnaire items in the subsequent survey of 389 young respondents. Results show that ‘subtitle choice’, ‘resolution selection’, ‘top ranking list’ and ‘advertising mode and format’ are key attributes that directly influence young user willingness to download apps. In particular, ‘flashing banner ads’, ‘resolution ≤ 480 ppi’, ‘5 seconds to skip ads’, providing ‘subtitle choice’ and without ‘top ranking list’ is the best combination of attribute levels of audio/video apps that meet young users' desires. That is, young users prefer mobile apps with ‘resolution ≤ 480 ppi’ and ‘subtitle’ choices and expect that they can skip flashing banner ads in 5 s. Providing a top audio/video ranking list, however, is unnecessary for young app users. The findings can help marketers and app designers develop effective app designs and advertising strategies for young users to expedite the adoption of entertainment audio/video apps.

The Relationship between Network Consumers Needs and the Development of Live Streaming E-Commerce, Taking Douyin as an Example

This paper investigates the impact of network users needs on the development of live streaming commerce in China. The data analysis of the questionnaire shows that the development trend of live streaming commerce has a certain relationship with online audiences consumption intention. The form of online live streaming enriches their consumption vision. Compared with traditional live streaming commerce, due to its interactive advantage, it has won a large number of audiences. Moreover, the current epidemic situation is also an objective factor for the rapid development of the marketing model of live streaming commerce. For the economic recovery in the epidemic era, some regions use live streaming to promote local products. It is found that the willingness and demand of online users are important factors in the development of the live streaming commerce.

Temperature Control Load Demand Response Control Strategy Considering User's Willingness Difference

Considering the pressure of communication facilities, the difference in willingness to participate, privacy protection, and other factors, a temperature control load demand response control strategy based on signal broadcasting considering the difference in user willingness is proposed. The control strategy is divided into the aggregator side and the local temperature control load unit side and its response index are sent by the aggregator to all temperature control load units in the form of signal broadcasting. In this control strategy, considering the variety of temperature control load units and different temperature control intervals, a universal temperature normalization value is established. The user participation willingness coefficient is introduced, and the expression of the actual participation probability of the temperature control load is constructed. According to the comparison result with the random number, whether to start or stop the temperature control component is selected. Finally, the overall application flow of temperature control load demand response is designed, and the effectiveness of the strategy is verified by MATLAB simulation.

Research on User Stickiness of Logistics Platform and its Influencing factors

Nowadays, our society has undergone a change in the viewpoint of production and manufacturing, and will pay more attention to the needs of the majority of users, and gradually began to make demand-oriented research topics for the development of the times. Logistics platform is also under such a trend, pay more attention to user needs and experience. As the business focus of logistics platforms, how to cultivate user stickiness and continuously cultivate new users and retain old users under the competitive market situation has become a major problem for enterprises. Around these issues, this paper conducts a systematic and in-depth study. Based on the S-O-R theory, this paper uses the stimulus-organism-response model to answer the question of how to continuously improve the participation and willingness of platform users by finding factors that affect the stickiness of logistics platform users. Systematic analysis and process research of logistics platform-related literature guided by the research question identifies four factors that influence logistics platform user stickiness, namely platform gu-enterprise interaction, platform atmosphere cues, user fit and consumer trust, and includes platform network effect as a moderating variable in the research framework. Through the empirical study, the following conclusions were drawn: platform gu-enterprise interaction has a significant effect on user fit, platform atmosphere cues have a significant effect on consumer trust, and user fit and consumer trust have a significant effect on user stickiness. User fit mediates the influence of information request, switching cost, and personnel communication on platform user stickiness, and consumer trust mediates the influence of platform reputation, personalized recommendation, and service remediation on platform user stickiness. Finally, certain management suggestions and research limitation outlooks are given to managers of logistics platforms.

The Impact of Green Feedback on Users’ Software Usage

The rise of the energy impact of software systems requires the need to optimize and reduce their energy consumption. One area often neglected is the important role played by users to drive energy reductions. In this paper, we aim to reduce the energy impact of software by pushing end users to change their software usage behavior, through raising awareness and providing software green feedback. We present a comprehensive and detailed field study of the impact of green feedback on software usage by end users, and the efficiency of green feedback on software behavioral change, using a distributed architecture aimed at providing accurate green feedback in real time. We find that green feedback helps in raising awareness about software energy, and on the willingness of users to apply energy-efficient changes. However, we also find that users lack the knowledge and tools to properly adopt lasting and energy-effective behavioral changes.

Users Willingness to Pay for Careem App Transportation in Pakistan: A Case Study of District Faisalabad

The use of Ride-hailing services like Careem and Uber has increased nowadays. The Careem service operates in different cities of Pakistan. The objective of this study was to estimate the user's willingness to pay for the App-based transportation of Careem in the district of Faisalabad. To achieve the aim of this study, primary data were collected from App-based users through a well-designed questionnaire. Interviews were conducted in this regard from 140 users of the Careem App collected, randomly selected in three localities in district Faisalabad. i.e. Government College University Faisalabad, University of Agriculture Faisalabad and Sheikh Colony Faisalabad. The study suggested that the government should promote such kinds of facilities based on Apps and make investments. It not only facilitates the users but also creates employment opportunities.

Cracking the megaproject puzzle: A stakeholder perspective?

Megaprojects are social tools that are designed by humans to produce large-scale, capital-intensive technology. Intriguingly, despite major advances in megaproject management practice, policy, and tools in the last decades, delays, budget blowouts, and scope creep remain empirical regularities. In this essay, to crack the megaproject puzzle, I advocate drawing on new stakeholder theory - a nascent stakeholder perspective in strategy research that invites us to look at the legal and economic criteria that enable and constrain strategic choice. Preliminary insights from ongoing work deploying this cognitive lens suggest that managers and sponsors of the legal entity in charge of a new megaproject are in a bind. To get a capital investment sanctioned, they must follow a normative tradition, where ‘on time and budget’ is gold standard and ‘value for money’ is defined by an additive logic that establishes user willingness to pay for the project outcomes must outweigh the production costs. But, ex-post, for the project to progress, managers and sponsors must distribute the value to be jointly produced with essential stakeholders in ways that go above the threshold necessary to conform to the law and regulations. These insights suggest that empirical regularities are not isomorphic with bad management and/or dishonesty, but rather an outcome of the ‘rules of the game’. I call on future research to explore the incentives that lie behind strategic choices to make non-credible commitments before a capital investment is sanctioned, and post hoc, to renegotiate the value distribution towards the production of a socially valuable outcome.

Dimension-Specific Shared Autonomy for Handling Disagreement in Telemanipulation

One of the fundamental questions in shared control is how to allocate control power to the human and robot effectively. Conventional arbitration policies often define a uniform singular scalar for all 6 DOFs to blend human input and robot assistance. However, this singular scalar over-dominates some dimensions of the inputs and provides insufficient assistance in other dimensions. Thus, current shared control can support simple telemanipulation tasks such as pushing, pressing, and simple positional control but is limited in tasks with more DOFs like rotational motion. A dimension-specific arbitration policy is developed to customize the control arbitration along each DOF to fill the gap. It looks at whether the robotic assistance is too timid or aggressive along each DOF and determines the arbitration magnitude according to disagreement levels of control allocation and the user's willingness to accept assistance. The user's willingness is estimated from a feedback psychology model. The method has higher similarity and ratio of agreement between the human and robot (lower over-dominance) over existing methods and, simultaneously, improves the task performance. This arbitration strategy is expected to increase the adoption of teleoperation for object manipulation.

COVID-19 Tracking Applications Acceptance among General Populace: An Overview in Malaysia

The COVID-19 pandemic forced governments to implement strategies for contact tracing due to the disease’s ease of spread. The Malaysian government has sought to develop and implement a digital contact-tracking application to make it easier and faster to detect the spread; the system has become an integral part of the exit strategy from mandated lockdowns. These applications keep track of the user’s proximity with others who are in the system to inform them early on if they are at a risk of infection. The effectiveness of these applications depends on the willingness of users to install and allow the application to track their location at all times. Therefore, this research aims to identify the factors that would stimulate or slow down the adoption of contact-tracing apps.

Car Users Willingness to Change Travel Mode in Response to On-street Parking Pricing: A Case Study of Dhaka City

Dhaka is facing severe on-street parking challenges as car ownership emerges. This situation has led traffic congestion not only in local roads but also in collector and arterial roads. Parking plays a significant function in the management of traffic and congestion. In Dhaka city most of the on-street parking spaces are free which persuades car users to park their car randomly. The objective of this research is to examine car users’ behavior if on-street parking pricing is implemented. A questionnaire survey was conducted in arterial, feeder (or collector) and in local roads at 16 locations in Dhaka city. Attention was drawn to confirm that the survey could deal with either professional drivers o r motorists driving their own car as respondents. A multinomial logistic regression model was developed by using the data collected from 500 respondents. Based on the analytical results along with in-depth on-site investigations it was found that the probability of changing mode due to on street parking pricing is insignificant. Result demonstrates that educational qualification is the most important variable for switching mode from car to other if on-street parking charge is applied. Most of the users whose parking is associated with education and work trips will not change their transport mode if on-street parking charge is put into operation. Those trips are most closely associated with travel in peak periods and largely responsible for congestion. Car users usually face difficulties to find space for parking. Journal of Engineering Science 13(2), 2022, 31-41

The Enterprise's Willingness to Use Remote Monitoring Technology Under the Background of Green Operation and Service-Oriented Manufacturing

The current development of remote monitoring technology (RMT) has become increasingly mature. The key to implementing this technology lies in the user's willingness to use it. In order to study the influencing factors of using RMT in green operation and service-oriented manufacturing enterprises, based on organizational behavior, this exploration discusses the reasons that affect the introduction of new technologies into enterprises from the perspectives of perceived risk, conformity and technology acceptance. Moreover, a series of data is obtained through the questionnaire and the results are obtained by analyzing the data. Suggestions to improve the use of RMT in enterprises are put forward. The results show that technology itself, external environment and organizational characteristics can all affect the decision-making of enterprises on new technology.

Influences of governance mechanisms on patients' usage intention: A study on web-based consultation platforms.

The study object is the doctor-patient online community, an online health service model with the greatest growth potential during the global COVID-19 pandemic. In the web-based medical market, patients are in a weak position, relying on web-based medical platform operators to ensure medical service quality. Following social exchange theory, this empirical study divides governance mechanisms into three-supervision, reputation, and communication-to determine their influence on online patients willingness to use web-based medical platforms. It also explores the moderating effect of perceived uncertainty on the influence of social exchange and transaction cost theory. A questionnaire survey was conducted to determine online patients' attitudes toward medical service providers including physicians and medical websites. Hierarchical linear regression analysis showed the significant positive effect of the supervision, reputation, and communication mechanisms on online patients' usage willingness. Perceived uncertainty of doctors' behavior has a significant moderating effect on the relationship between the three mechanisms and online patients' usage willingness. Website-perceived uncertainty moderates the relationship between the supervision and reputation mechanisms and online patients' usage willingness. This study provides a reference for improving online patients' usage willingness through the platform governance of Internet medical treatment.

Which are the vital factors of mobile personal health records applications that promote continued usage? A perspective on technology fit and social capital.

With the widespread use of mobile devices and the rapid development of mobile networks, connecting mobile personal health record (mPHR) apps to wearable devices to collect personal health data for analysis and community activities has become a trend for health promotion. Therefore, the present study aims to explore the vital factors that impact the sustained usage of mPHR apps. In this study, we identified social lock-in as a major research gap in the current era of social media and the Internet. Therefore, to explore the effects of mPHR apps on continued app usage intention, we combined technology fit (individual-technology, synchronicity-technology, and task-technology fit) and social capital (structural, relational, and cognitive capital) to develop a novel study model. The purpose of this research is to investigate the willingness to participate in the mPHR apps. It collected 565 valid users' responses through the online questionnaire with a structural equation modeling approach. That technology and social lock-in significantly affected the willingness of users to continue using mPHR apps (β = 0.38, P < 0.001) and that the effects of social lock-in (β = 0.38, P < 0.001) were more pronounced than those of technology lock-in (β = 0.22, P < 0.001). The technology and social lock-in generated by technology fit and social capital had positive effects on continued app usage and the effects of both types of lock-in on continued app usage varied among different participant groups.

User's willingness to accept the shared dockless e-scooter system: Belgrade case study

During the last several decades many cities around the world have been trying to solve the traffic congestion problem using different strategies. The question that arose is to what extent introducing a dockless shared e-scooter system, improving the infrastructure and defining the legislation for this group of users would contribute to reduced traffic congestion in Belgrade, Serbia. This research was conducted online and distributed as a link via email. Considering that the authors analyzed users’ behaviour in the current situation and in a hypothetical situation, both the stated revealed and stated preference approaches were used. The obtained results show that the application of this set of pull measures, at the most affordable prices for shared e-scooters, would lead to a significant reduction of passenger car usage – 7.4% for commuting trips and 11.4% for trips with other purposes.

Research on User's Willingness to Pay for Educational Content Based on the ELM

This article uses the elaboration likelihood model (ELM) as the foundational theoretical framework to comprehensively analyze various factors that affect the behavior of users paying for educational content in the central and peripheral pathways. This study fills the gaps in research perspectives and systems from the past and expands the application areas of the elaboration likelihood model. From a practical perspective, the research results of this paper partially address the series of problems in knowledge payment, provide feasible suggestions to enhance user stickiness of educational content payment platforms. Furthermore, the research results can also promote the high-quality development of the content payment industry and provide support for economic recovery after the pandemic.

Willingness to pay for COVID-19 mitigation measures in public transport and paratransit in low-income countries.

In order to combat the spread of COVID-19, various measures were taken in most countries to make public transit and paratransit safer. These additional measures, which include restrictions on number of passengers, provision of hand sanitisers and face coverings, and more frequent cleaning, add to the costs of operations or reduce profitability. The resulting financial pressure on the transport operators raises an important question on who pays for these additional measures. In most countries, this has been covered by one-time government bailouts to operators or strategies to increase fare, the latter of which directly affects the users. However, even without these interventions, there could be a demand and as such willingness to pay (WTP) for some of these intervention measures from the consumers concerned about safety. Knowing such WTP will not only help operators set their fare, but also help the governments decide the appropriate bailout needed. This paper addresses the issue by estimating the user's willingness to pay for selected COVID-19 mitigation measures in public transport and paratransit (motorcycle taxis) using survey data collected from two cities in low-income countries as case studies - Kampala, Uganda and Dhaka, Bangladesh. For public transport, these measures are - (1) social distancing (passenger loading at half capacity), and (2) mandatory hand sanitisation and increased cleaning of surfaces, while for paratransit, they are - (1) provision of a transparent shield between the rider and the passenger, and (2) provision of cleaned helmets at the start of each trip. The study analyses stated preference data using the utility maximisation framework and finds that the implementation or provision of COVID-19 mitigation measures improves the attractiveness of the associated public transport or paratransit alternatives, and transport users make trade-offs between safety and cost when making travel decisions. We find positive willingness to pay for all four mitigation measures, suggesting potential existence of a market for these measures. We also find that the typical mode choice factors such as costs, travel time and convenience became less important during the pandemic and the safety measures became more important considerations.

Analysis of Willingness to Pay for Toll Users in Central Java Province

Transportation infrastructure is a crucial component of national development. Road infrastructure development could lead to increased productivity, global competitiveness, employment opportunities, real sector growth, and reduced poverty. Therefore, this case study aimed to assess the willingness of toll road users in Central Java Province to pay for toll roads and the extent to which the parameters of gender, education, type of vehicle, and occupation affect the willingness to pay. The study also analyzed the variables influencing the toll user’s willingness to pay (WTP). These variables include road conditions, income, age, type of vehicle, frequency of toll users, and travel destinations. Eviews software was used to analyze the economic impact of toll users through logistics regression. Furthermore, Stata software was used to conduct a descriptive analysis of the questionnaire data. The results showed that the frequency of toll users has the greatest impact on willingness to pay, surpassing traffic conditions, type of vehicle, purpose of travel, and travel time. The odds ratio value for the toll user’s frequency was 66.85 [95% CI (13.02-343.07)]. It means that people using toll access more than 15 times are 66.85 times more willing to pay than those using the roads less frequently.

Analysis on the influencing factors of cross-border E-commerce website users' purchase intention

This study takes TMALL International platform as an example to analyze the relevant factors affecting consumers' purchase intention in cross-border e-commerce websites, and formulate targeted e-commerce marketing countermeasures to promote the sustainable development of cross-border e-commerce industry. At the present stage, which factors play a decisive role in the willingness and acceptance of users of cross-border e-commerce platforms is the key issue studied by e-commerce enterprises. The competition in the cross-border e-commerce market is fierce, with various enterprises competing for market share and racking their brains to expand new consumers on the basis of retaining old customers. The conclusion of this research is as follows: perceived usefulness, ease of use and security all have a positive impact on the purchase intention, and among the dependent variables that have an impact on the purchase intention of consumers, perceived security has the greatest impact. Perceived trust also has a positive impact on the purchase intention of users. The intermediary variable perceived trust has a mediating effect on the purchase intention among the security and usefulness variables, which is consistent with the reality. This is because TMALL International will hold relevant marketing activities to stimulate consumers' shopping, and at the same time enhance users' trust and shopping security.

중국 노인용 웨어러블 워치의 디자인 요소가 사용자 인식과 사용의향에 미치는 영향

With the aging of the population intensifies, the medical care of the elderly has brought a heavy burden to the social and economic development. Facing the rapid growth of the elderly population and the increasingly prominent problems of the elderly, the new scientific and technological means represented by “Internet” have provided a new way of thinking to solve the problems of the elderly. At present, wearable watches for health monitoring of the elderly have been launched in the market. This paper hopes to test the influence of design factors of wearable watches on user perception and willingness to use through the application of technology acceptance model, so as to improve the willingness of the elderly users to use the product. Technology acceptance model is mainly used to study users’ acceptance behavior and attitude towards emerging information technology. Through the first study on the design factors of wearable watches and technology acceptance model, it determined the four design factors of wearable watches including functionality, aesthetics, interactivity and compatibility, and the three variables of user perception in technology acceptance model including perceived pleasantness, perceived ease of use and perceived usefulness. In this paper, 236 questionnaires were collected by questionnaire survey. Firstly, SPSS26.0 was used to test and analyze the reliability and validity of the questionnaire data, and used structural equation software to test the model hypothesis. The results show that functionality has a positive impact on perceived pleasantness, perceived ease of use and perceived usefulness, aesthetics has a positive impact on perceived pleasantness and perceived ease of use, interactivity has a positive impact on perceived ease of use, compatibility has a positive impact on perceived ease of use, perceived usefulness, perceived ease of use and perceived pleasure have a positive impact on willingness to use. The results of the study can provide reference for the developers of wearable watches for the elderly to formulate marketing strategies, and provide data and practical theoretical basis for product design.