Intention Model Research Articles

Driving factors and micro-mechanism of residents’ participation intention in individual pension system

The introduction of an individual pension system is crucial to improve the current pension system in China. To increase the rate of participation of individuals in this new pension system and to give full play to its pension security effect, in this study, we built a conceptual model of participation intention of residents based on the theory of planned behavior considering seven new factors. Data were obtained through a questionnaire survey, and empirical tests and analyses were conducted using methods such as structural equation modeling. According to the results, 77.8 % of residents were willing to participate in the individual pension system. The internal driving factors such as perceived usefulness, trust, family burden and policy support directly influenced the residents’ participation rate. Participation attitude was a key variable, with a partial mediating effect on participation intention. Thus, it is recommended to increase publicity and policy support, improve laws, regulations and the regulatory system, regulate market operations and enhance service quality for boosting residents' recognition and enthusiasm to participate and reducing their burden in old age.

A Structural Equation Model for Turnover Intention of General Hospital Nurses: Focusing on Mediation Effect of Organizational Silence

A Structural Equation Model for Turnover Intention of General Hospital Nurses: Focusing on Mediation Effect of Organizational Silence

A mediation model of users' continuous intention towards banker's chatbot - a technology acceptance model

A mediation model of users' continuous intention towards banker's chatbot - a technology acceptance model

Sustainable of e-learning environments: Model of continuance intention

Sustainable of e-learning based on continuance intention use of technology. E-learning reduce the environment impact, minimized the forestation and paper waste. This study examines the relationship between organisational support, satisfaction with e-learning, and the intention to continue using e-learning within an organisational setting. The study employed a quantitative survey methodology to gather data from students (undergraduate program), with the utilisation of an online questionnaire for data collection. A total of 642 students participated as respondents in the study, and the data was analysed utilising the SmartPLS software. The analysis was conducted based on research hypotheses. The study’s results show a strong link between organisational support and both e-learning satisfaction and desire to continue, which highlights how important it is to have long-lasting support systems. Furthermore, e-learning happiness is found to increase the desire to keep using e-learning platforms, which has long-term implications for their viability. These results are very important for colleges in Indonesia that are starting to use e-learning because they show how important it is to keep supporting students in all areas, including hardware, software, and people. The study does, however, make us think about how long these support systems will last and highlights the need for more research into the core factors that contribute to organisational support in the field of e-learning. Support systems that last must be in place for e-learning programmes to continue to work. More study can help us understand how to keep and improve these systems.

Consumer purchasing intention and marketing data mining model in the digital economy

Consumer purchasing intention and marketing data mining model in the digital economy

Intention to Use Social Media in Online and Blended Learning: Potential Predictors and Mediation of Collectivism

The COVID-19 pandemic has drastically impacted traditional classroom education and all the associated multi-stakeholders (Universities, teachers, and students). With education embracing online media, there is a need to develop sustainable models of education. Social media is a tool that can be effectively used to create sustainable development in higher education. In this context, this study emphasizes on the development of an empirical model for intention to use social media in online/blended learning in a multi-stakeholder (Universities, teachers, and students) context. A total of 330 samples were collected through an online survey from students/faculties of various public and private higher educational institutions in India. The data from the survey was analyzed employing Explorative Factor Analysis (EFA) using R-Studio and, Confirmatory Factor Analysis (CFA) and Path Analysis (AP) using Structure Equation Modelling (SEM) on the AMOS 20.0 software platform. Results demonstrate a significant impact of perceived privacy, perceived security, ICT facility, and trust, on the intention to use social media in educational institutions following online/blended learning methods. The mediation of collectivism is also confirmed in this study. Hence, our findings will add value to the existing literature on online/blended learning and the sustainable development of education. By implementing more stringent security and privacy policies, good Internet connectivity, better technology infrastructure, and excellent and smart features in mobile, tablets, and laptops social media and collective effort of students, instructors, and external student communities may generate trust in the stakeholders, motivating them to use social media as a tool in higher education.

Predictors of International Students' Acculturation Strategies in the United States: Applying Acculturation Intentions Model

Predictors of International Students' Acculturation Strategies in the United States: Applying Acculturation Intentions Model

Predictors of International Students' Acculturation Strategies in the United States: Applying Acculturation Intentions Model

Predictors of International Students' Acculturation Strategies in the United States: Applying Acculturation Intentions Model

Entrepreneurs’ Intention to Use Crowdfunding: Towards a Conceptual Framework of Technology Acceptance and Entrepreneurial Intention

Despite the popularity of crowdfunding throughout the World, there is a limited amount of academic research conducted to study user acceptance of crowdfunding, especially among entrepreneurs. This paper aims to propose a conceptual model for assessing entrepreneurs’ intention to use crowdfunding. To achieve the objective, the study searched and reviewed current literature on crowdfunding user acceptance in the Emerald and Lens.org databases. Initially, 128 articles were found, and the review was conducted with 37 articles selected according to the inclusion and exclusion criteria. Accordingly, this study proposes a conceptual model with the integration of the Unified Theory of Acceptance and Use of Technology (UTAUT) with the entrepreneurial intention model. The integration describes three main factors that affect user acceptance, such as technological factors, environmental factors, and individual factors. This paper tried to create a linkage with variables proposed in the model by providing propositions based on the literature. Future studies are needed to test the propositions in field research.

How Do Halal Component and Marketing Drive Muslim Consumers?

This research addresses a specific issue within halal marketing, emphasizing its novelty. Despite widespread recognition in marketing literature of the roles played by various halal components and strategies in influencing consumer purchase intentions, there is a distinct research gap in the lack of studies focusing on specific categories. This study aims to fill that gap by examining the relationship between halal awareness, certification, and other marketing elements in shaping the halal purchase intentions of Mixue consumers in Indonesia. Structural equation model analysis of data from 156 Mixue consumers revealed positive correlations between halal awareness, certification, and brand with purchase intentions, while food quality and promotion showed negative and non-significant relationships. Theoretically, the research strives to advance a conceptual model of halal purchase intentions by integrating halal components with marketing elements, contributing to marketing literature with a specific focus on Mixue and its consumers in Indonesia. The practical implications involve a deeper understanding of factors influencing halal product purchase intentions, aiding marketing decision-making and business strategies in this rapidly growing market.

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation

Session-based recommendation intends to predict next purchased items based on anonymous behavior sequences. Numerous economic studies have revealed that item price is a key factor influencing user purchase decisions. Unfortunately, existing methods for session-based recommendation only aim at capturing user interest preference, while ignoring user price preference. Actually, there are primarily two challenges preventing us from accessing price preference. First, the price preference is highly associated to various item features (i.e., category and brand), which asks us to mine price preference from heterogeneous information. Second, price preference and interest preference are interdependent and collectively determine user choice, necessitating that we jointly consider both price and interest preference for intent modeling. To handle above challenges, we propose a novel approach Bi-Preference Learning Heterogeneous Hypergraph Networks (BiPNet) for session-based recommendation. Specifically, the customized heterogeneous hypergraph networks with a triple-level convolution are devised to capture user price and interest preference from heterogeneous features of items. Besides, we develop a Bi-Preference Learning schema to explore mutual relations between price and interest preference and collectively learn these two preferences under the multi-task learning architecture. Extensive experiments on multiple public datasets confirm the superiority of BiPNet over competitive baselines. Additional research also supports the notion that the price is crucial for the task.

A perceptive-emotional model of behavioural intention to consume food grown with nutrients recovered from wastewater

Global food production is threatened by a scarcity of phosphorus, an essential component in most fertilisers. Recovering phosphorus from wastewater may be a potential solution. However, there may be social resistance to consuming food grown with these fertilisers. In this study, we propose a predictive perceptive-emotional model (PEM) that identifies the psychological factors that influence favourable behavioural intention towards the consumption of this kind of food. A total of 1,003 participants in Spain (n = 387), Sweden (n = 378) and the Netherlands (n = 238) answered an online survey. The results show that positive emotions are the main predictor of behavioural intention. Generating these emotions depends on trust in scientists, a low health risks perception and a high benefit perception. Managing these factors is key for governments and international institutions so that they are aware of how public acceptance is generated and can launch programmes to encourage the consumption of such food products.

Research on the Purchase Intention of Electric Vehicles Based on Customer Evaluation and Personal Information

With the continuous development of electric vehicle (EV) technology, there is an increasing need to analyze the factors influencing customers’ purchase intentions. According to the data of customers’ vehicle experience evaluation and personal information, this paper develops the analysis models of influencing factors using the analysis of variance algorithm (ANOVA) and Kruskal–Wallis algorithm. Then, the purchase intention model for EVs is proposed using the random forest method. Finally, the optimization model for the EV sales plan was built. The results show that the main factors influencing customers’ purchases are different for different vehicle brands. However, the customer’s evaluation of the vehicle experience has a greater influence on the customer’s purchase. Compared to other prediction models, the random forest model has the highest accuracy. For 3 EV brands, the prediction accuracies are 97.8%, 98.9%, and 97.6%. In addition, this paper predicts the purchase intentions of 15 customers. By optimizing the sales plans for 3 EV brands, the predicted purchase rate of 15 customers increased from 40% to 53%. The research work contributes to the sales of electric vehicles, the accurate positioning of customers, and the identification of more potential customers.

Explaining Chinese Consumers' Continuous Consumption Intention toward Prepared Dishes: The Role of Perceived Risk and Trust.

With the rapid development and the increasing importance of the consumer market of prepared dishes in China, it is imperative to study the formation mechanism of Chinese consumers' continuous consumption intention (CCI) toward prepared dishes for promoting the sustainable development of Chinese prepared dishes industry. The aim of this study is to study the formation mechanism and the role of perceived risk and trust in it. Based on the Expectation Confirmation Model, this study constructed a model of continuous consumption intention of prepared dishes by introducing perceived risk and trust. 381 adult consumers were surveyed and the data was analyzed by an Exploratory Factor Analysis and the Partial Least Squares Structure Equation Model. The results showed that: (1) The confirmation of expectation had a significant positive impact on trust and satisfaction, a significant negative impact on the perceived risk (PR). Trust and satisfaction had a significant positive, while PR had a significant negative, impact on CCI. (2) The dimensions of PR included social, health, quality, psychological and purchasing risk, among which quality risk had a significant negative impact on CCI. (3) All dimensions of trust (ability, integrity, benevolence and government trust) had a significant positive impact on CCI, among which integrity trust played the most important role. (4) Overall, trust had a significant negative impact on PR. Benevolence trust could mitigate all dimensions of PR, integrity trust could mitigate all dimensions of PR except health risk, and ability trust, government trust could only mitigate quality risk. Therefore, the enterprises should pay high attention to the quality of their products and the establishment and maintenance of consumer trust, and the government should establish an authoritative image.

Virtual data generation for human intention prediction based on digital modeling of human-robot collaboration

Human intention prediction is vital for the efficiency of human-robot collaboration (HRC) and is usually modeled based on data-driven methods. However, due to the complexity and diverse nature of HRC, data collection for human intention prediction suffers from low sampling efficiency which restricts the application of HRC in manufacturing. Different from traditional real world data collection, a digital modeling method for HRC is proposed in this paper to generate virtual HRC data. The dynamic musculoskeletal model of human is adopted to simulate the musculoskeletal dynamics of human. The metabolic energy consumption of human is computed and used as an indicator to evaluate the reality of the generated virtual data. The virtual data are used to train human intention prediction model and compared with experimental data. Experimental results show the reality of virtual data and its effectiveness for human intention modeling in human-robot collaborative assembly. The proposed method has potential for reducing the cost of data collection compared with purely experiments.

A model of entrepreneurial intention of graduates in the Mekong river delta

This article aims to investigate the determinants of the inclination of Mekong river delta (MRD) graduates towards entrepreneurship, with the purpose of providing viable solutions to authorities to enhance the efficacy of entrepreneurial endeavours. The analysis relied on primary data derived from a survey conducted in 2021, which involved 341 graduates from six provinces within the MRD. Various statistical techniques were employed to analyse the data, including the Cronbach’s Alpha test, exploratory factor analysis (EFA), and linear regression analysis. The findings reveal that the entrepreneurial intention of these graduates is positively influenced by a multitude of factors, such as behaviour control, subjective norms, attitude towards entrepreneurship, and perceived desirability, while being negatively impacted by the propensity to act. The study’s primary contribution is the provision of an updated and cohesive framework that enhances understanding of the entrepreneurial intention among graduates in the MRD. The author offers actionable recommendations for various stakeholders: policymakers, universities, entrepreneurs, and researchers.

Sensory quality of beef with different ultimate pH values – A Brazilian perspective

This study evaluated Brazilian consumer perceptions of beef with different pH values at 48 h post-mortem (pHu) through sensory analysis. A total of 138 consumers evaluated raw and grilled steaks. The steaks were divided according to their pHu (normal pH < 5.8, atypical darkness, firmness, and dryness [DFD] > 5.8 pH < 6, and typical DFD pH ≥ 6). There was no difference in the visual evaluation of raw steaks or purchase intention. Evaluation of the grilled steaks showed that consumers preferred typical DFD steaks in terms of tenderness, and there was a tendency for the same behavior in terms of juiciness. No differences were observed in other evaluated parameters. Cluster analysis identified three consumer segments for visual evaluation, indicating a preference for steaks with higher pHu in terms of freshness. Additionally, four segments were identified for evaluation, with some groups expressing a preference for higher pHu meat in terms of freshness appearance, tenderness liking, and overall liking. The developed regression models for overall liking and purchase intention exhibited favorable adjustment indices, with r2 values of 0.86 and 0.57, respectively, for raw steaks and 0.90 for grilled steaks for in overall liking. Regression models indicated a strong influence of color and freshness appearance, in addition to tenderness liking and juiciness liking, on the overall liking scores of consumers. These results indicate that Brazilian consumers do not dislike dark cutting and, despite differentiating their greater tenderness, do not show a preference between the different pHu values.

The role of entrepreneurial imaginativeness for implementation intentions in new venture creation

AbstractImplementation intentions, as conceptualized in the Rubicon model of action phases, facilitate the initiation of intended action. As a self-regulatory strategy, implementation intentions avoid the shortcoming of intention models (i.e., theory of planned behavior), which are able only partially to explain the variance of action caused by entrepreneurial intention. While early studies have shown the efficacy of implementation intentions in complex settings such as entrepreneurship (inter alia), an understanding of how implementation intentions come into play is missing. We address this gap and build on a unique sample of 161 responses from entrepreneurs receiving a grant for venture creation between 2018 and 2022 to investigate the role of entrepreneurial imaginativeness in implementation intentions. We find support for a curvilinear relationship between creative and practical imaginativeness and implementation intentions. Our study contributes theoretically to all frameworks that guide it, theory of implementation intentions and the Rubicon model and mindset theory of action phases, and validates them in the entrepreneurial context. By establishing entrepreneurial imaginativeness as an antecedent of implementation intentions, we provide entrepreneurs with a recipe for implementation intentions and add to the extant research on consequents of entrepreneurial imaginativeness.

A model of purchase intention of complementary and alternative medicines: the role of social media influencers’ endorsements

BackgroundSocial Media Influencers (SMIs) are a fashionable way of marketing products by creating electronic word-of-mouth (e-WOM) on social media. The marketing of complementary and alternative medicines (CAMs) by SMIs is becoming increasingly popular and gaining credibility within consumers on social media platforms. Nonetheless, advising about healthcare products on social media should be examined as it is different from endorsing other kinds of commercial products. The aim of this study is to develop a model that provides the underlying mechanisms of the stimuli of SMIs on social media towards consumers’ purchase intention of CAMs.MethodsThis study used best fit framework synthesis methods to develop the model. A priori theory selection was conducted by identifying a BeHEMoTh strategy (Behavior of Interest, Health context, Exclusions and Models or Theories) to systematically approach identifying relevant models and theories relative to the research aim. Further evidence derived from primary research studies that describe the behavior identified is coded against selected a priori theory to develop the model.ResultsThis study presents a novel model for understanding the purchase behavior of CAMs using SMIs as a marketing strategy. The model included two well-known theories (theory of planned behaviour theory and source credibility theory) as well as extensive existing research from a multidisciplinary perspective. The model is exclusively designed to help identify elements affecting perceived source credibility and factors that have an influence over consumers’ preferences to purchase CAMs by taking into consideration SMIs’ endorsements.ConclusionsThis study provides unique insights introducing new research areas to health literature and offers, new roles for healthcare professionals in this digital era by gaining new skills and competencies required to provide more credible and accurate information about CAMs. The study also highlights the new marketing era of online health-related product endorsements and recommends that policymakers and researchers carefully evaluate the impact of SMI’s on the use of CAMs, as well as to regulate the content of these promotional materials.

A structural model of student continuance intentions in ChatGPT adoption

ChatGPT has experienced unprecedented acceptance and use, capturing popular and academic attention. With this growth in use comes the need to focus on the determinants of ChatGPT use as the success of a technology or service depends largely on users’ continuance intentions. Modeling what influences students’ intention to continue using ChatGPT is important to better understand how students search for information and their decision-making process. Using a sample of 106 students, we test a structural model developed using the unified extended-confirmation model. The research model included the following elements: subjective norm, perceived usefulness of continued use, disconfirmation of their expectations from prior use, satisfaction with prior use, and continuance intention. The findings demonstrate support for the proposed research model as the research model explains 60.5% of the variance in continuance intention. In terms of the direct influence on continuance intention, the role of perceived usefulness and satisfaction were documented. The present study has the potential to serve as a starting point for improving our understanding of antecedents of continuance intentions in the context of ChatGPT.