An Artificial Intelligence-Based Approach to Model User Behavior on the Adoption of E-Payment

2022 ◽  
pp. 1-15
Author(s):  
P. C. Lai ◽  
Dong Ling Tong
Keyword(s):  
Artificial Intelligence ◽  
User Behavior ◽  
Analysis Pipeline ◽  
Related Factors ◽  
New Business ◽  
Payment Services ◽  
And Performance ◽  
Facilitating Conditions ◽  
Hybrid Artificial Intelligence ◽  
The Impact

The growth of internet usage during the COVID-19 pandemic creates a new business avenue on e-payment for organizations to expand their business horizon. However, challenges on user-related factors arise with this new avenue. This study aims to investigate the association of these factors on the adoption of e-payment services using machine learning inference. An artificial intelligence-based analysis pipeline is established to study the impact of individual items of the dependent factors on the usage of e-payment. In the analysis pipeline, the important items were extracted using a hybrid artificial intelligence method, and the relationships of these items were inferred using the tree algorithm. The results show that items related to expectancy, facilitating conditions, user attitude, and performance expectancy affect usage of e-payment services. Participants below 25 years old require a gamification solution to adopt e-payment, and participants above 40 years old need social support.

scholarly journals The Relationship between Strategic Orientation, Service Innovation, and Performance in Hotels in Angola

2021 ◽  
Vol 13 (11) ◽  
pp. 6256
Author(s):  
Gerdina Handa Serafim ◽  
José Manuel Cristóvão Veríssimo
Keyword(s):  
Developing Countries ◽  
Customer Orientation ◽  
Positive Impact ◽  
Group Analysis ◽  
Strategic Orientation ◽  
New Business ◽  
Competitor Orientation ◽  
And Performance ◽  
Technology Orientation ◽  
The Impact

This paper aims to investigate the impacts of customer orientation, competitor orientation, learning orientation, technology orientation, and entrepreneurial orientation on hotel innovation and performance. Data from 69 hotels in four Angolan provinces were analyzed using the partial least squares (PLS) approach and multi group analysis. The results show that learning and entrepreneurial orientations have a positive impact on hotel innovation. As anticipated, innovation has a positive impact on performance. According to the multigroup analysis, only the hotel category has a moderating effect on performance. Results suggest that hotels in developing countries could add value to both customers and shareholders by promoting new services and exploring new business opportunities. To the best of our knowledge, this is one of the few studies that has researched the impact of strategic orientation on hotel innovation and financial performance in developing countries.

Impact of demonetization on diffusion of mobile payment service in India

2019 ◽  
Vol 16 (4) ◽  
pp. 472-497 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Behavioral Intention ◽  
Perceived Risk ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Utaut Model ◽  
Payment Services ◽  
Facilitating Conditions ◽  
The Impact

PurposeThe purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.Design/methodology/approachA survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.FindingsThe key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.Originality/valueIt is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.

Palliative radiotherapy: modelling and evaluating the impact of factors in the treatment times and workload of orthovoltage units–a pilot study

2009 ◽  
Vol 8 (3) ◽  
pp. 119-129 ◽  
Author(s):  
S.L. Donaghey
Keyword(s):  
Treatment Time ◽  
Performance Status ◽  
Palliative Radiotherapy ◽  
Care Needs ◽  
Related Factors ◽  
Palliative Intent ◽  
Full Study ◽  
And Performance ◽  
Specific Care ◽  
The Impact

AbstractPatients treated with palliative intent present a complex issue for radiotherapy departments in terms of their specific care needs, treatment times, and the productivity of orthovoltage resources. This study seeks to evaluate and quantify patient-related factors, treatment times, and to assess tools and data for future utilisation by radiotherapy departments. A modified Basic Treatment Equivalent (BTE) methodology was chosen, with stopwatch timings taken of treatments on orthovoltage units, over a 4-week period at two radiotherapy departments. Data collected included patient-related, treatment and equipment factors to assess their relative or specific effects on treatment times. Analysis considered the differences in data sets, significance and correlation. Forty-three fractions of treatment were recorded, across a range of treatment sites. The number of fields and delivery of first fractions/plan and treat episodes were found to result in significant differences in treatment time. The use of equipment, age and performance status were not found to be influential. Pain and skin viability symptoms had the greatest impact on treatment times–with these themselves being influenced by the impact of number of fields treated and first fractions. A full study should now be undertaken with a view to design a new equivalence model for the effective assessment of orthovoltage productivity.

scholarly journals Impact of Artificial Intelligence on Vietnam Commercial Bank Operations

2020 ◽  
Vol 6 (07) ◽  
pp. 296-303
Author(s):  
Sang My Tang ◽  
Hung Nguyen Tien
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Commercial Bank ◽  
Operations Research ◽  
Research Study ◽  
Banking Industry ◽  
Secondary Data ◽  
And Performance ◽  
The Impact ◽  
Day By Day

Through secondary data, the research study about the impact of artificial intelligence (AI) on commercial bank operations. Research results show that AI is being applied in the banking industry with many different applications such as Chatbot, risk assessment, anti-money laundering, fraud detection, and algorithmic... The application of AI in the banking industry is changing day by day, but the trend of AI application of the bank focuses on three goals that affect the bank's operations. The impact of AI on banking operations including the impact on customer experience, the impact on the bank's cost and performance, the impact on risk management, and the impact on bank compliance.

scholarly journals Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

2020 ◽  
Vol 12 (4) ◽  
pp. 1514 ◽  
Author(s):  
Zaher Mundher Yaseen ◽  
Zainab Hasan Ali ◽  
Sinan Q. Salih ◽  
Nadhir Al-Ansari
Keyword(s):  
Artificial Intelligence ◽  
Construction Projects ◽  
Performance Measure ◽  
Classification Error ◽  
Construction Project Management ◽  
Algorithm Optimization ◽  
Reliable Technique ◽  
Hybrid Artificial Intelligence ◽  
The Impact ◽  
Delay Prediction

Project delays are the major problems tackled by the construction sector owing to the associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) models have evidenced their capacity to solve dynamic, uncertain and complex tasks. The aim of this current study is to develop a hybrid artificial intelligence model called integrative Random Forest classifier with Genetic Algorithm optimization (RF-GA) for delay problem prediction. At first, related sources and factors of delay problems are identified. A questionnaire is adopted to quantify the impact of delay sources on project performance. The developed hybrid model is trained using the collected data of the previous construction projects. The proposed RF-GA is validated against the classical version of an RF model using statistical performance measure indices. The achieved results of the developed hybrid RF-GA model revealed a good resultant performance in terms of accuracy, kappa and classification error. Based on the measured accuracy, kappa and classification error, RF-GA attained 91.67%, 87% and 8.33%, respectively. Overall, the proposed methodology indicated a robust and reliable technique for project delay prediction that is contributing to the construction project management monitoring and sustainability.

Mechanistic Basis for the Role of Binary Mixtures Flowability and Related Factors in the Processability and Performance of High Shear and Extrusion Granulation

2014 ◽  
Vol 1033-1034 ◽  
pp. 247-254
Author(s):  
Zheng Gen Liao ◽  
Zhe Li ◽  
Juan Luo ◽  
Liang Shan Ming ◽  
Qie Ying Jiang ◽  
...  
Keyword(s):  
Moisture Content ◽  
Binary Mixtures ◽  
Raw Material ◽  
Angle Of Repose ◽  
Wet Granulation ◽  
High Shear ◽  
Related Factors ◽  
And Performance ◽  
The Impact ◽  
Granule Growth

The purpose of this study was to establish a relationship between the raw material properties and granulation behavior in extrusion wet granulation (WEG) and high shear wet granulation (HSWG). moisture content (MC), Carr index (CI), angle of repose (AOR), and mean size distribution (MSD) of binary mixtures were examined. The effect of these variables on the processibility and performance of the granulations was evaluated by monitoring such response along with granule growth. The prominent involved findings were that moisture content and Carr index had significant impacts on granule growth, followed by particle size, while angle of repose showed a minimal correlation. These results were physically interpreted by the previous wet granulation theories. The granule growth was linked to the properties of primary mixture. And in the process of high shear and extrusion granulation process, flowability showed an important effect on critical attributes of final product. Understanding the impact of primary properties of raw materials will be useful in mapping a new material to predict its performance in these two different granulation methods.

scholarly journals Janitor’s Attitudes: Their Effect on Performance at La Consolacion University Phippines SY 2020-2021

2021 ◽  
Vol 2 (8) ◽  
pp. 664-676
Author(s):  
Dennis L. Estacio
Keyword(s):  
Job Satisfaction ◽  
Employee Performance ◽  
Individual Performance ◽  
Superior Performance ◽  
Psychological State ◽  
Related Factors ◽  
Job Commitment ◽  
Level Of Satisfaction ◽  
And Performance ◽  
The Impact

The purpose of this research project was to evaluate attitudes of the janitorial workforce in La Consolacion University Philippines of S.Y. 2020-2021 in order to ascertain whether there is a direct relation to their performance. An attitude is a psychological state of mind. It is the way a person thinks about situations, and it ultimately determines a person's behavior. In the workplace, employees can have either a positive or negative attitude about specific work tasks, products or services, co-workers or management, or the company as a whole. Positive attitudes among employees make workdays more enjoyable. Tasks are performed to a higher standard and without complaint. An example of a positive employee attitude occurs when an employee views a negative customer service call as an opportunity to change the narrative for the customer from a bad experience to a good one. However, bad attitudes result in apathy to daily tasks. Employees are easily agitated by minor problems. Tasks are completed at substandard levels (Leonard, 2018). Job attitudes such as satisfaction and involvement are criterion for establishing the health of an organization; rendering effective services largely depends on the human resource. Job satisfaction experienced by employees will induce the people to give their best to the organization. Both the attitudes required to enhance the performance of employees. Current study is based on the effect of attitude on employee performance. This study include the attitude related factors (behaviors of employees and leaders, job satisfaction, job commitment, motivation and training) to investigate their impact on employee performance.  This study utilized descriptive method of research. An instrument was developed by the researcher with 8 statements to measure the perceived level of satisfaction, involvement, and performance and then distributed among the respondents with the five- point Likert scale   In the totality, respondents rated majority of the janitors with an approval rating of VERY GOOD to the four janitors and GOOD to the Five Janitors while three of the Janitors got an average rating of FAIR. Result shows that all attitude related factors positively affect the employee performance. Motivation and job commitment has highly significant impact of performance of employees. As a result, organizations should value their experienced personnel and devise effective retention policy by giving competitive salary, experienced base pay and experienced based promotion. That will increase the overall performance of the organization. Janitors have to change their poor attitudes and must exhibit more dedication towards their job. Other employees have to make effort to correct these attitudes that is affecting the work. The following are recommendations to improve values and attitudes and to increase the individual performance: Let the janitors feel the sense of total belongingness and importance not to let them feel that they are categories into the lower level of the organizations, let them be involved and participate in all institutional activities to establish camaraderie. Identifying the negative of bad attitudes of the janitors and provide corresponding trainings and seminars to correct their attitudes resulting to poor performance at work. Motivating employees to achieve the high level of satisfaction and performance by giving appropriate awards and incentives. Ensure feedback is specific – Don't just tell the employee their poor attitude needs to improve. Point out exactly what negative traits they have and the impact each has on their performance and monitor their action periodically for expected change to positive attitude towards work performance. Generally, workers with good attitudes have stronger performance, and workers with poor attitudes exhibit less-than-superior performance. It is up to managers to monitor employee attitudes and address attitude problems such as negativity and laziness.

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