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intention to use in mobile homecare service

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Nguyễn Gia Hào

Academic year: 2023

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This research uses a quantitative method to examine the relationship between factors and intention to use a mobile home care service application. On the other hand, perceived risk is negatively related to the intention to use the application.

Table Page  2.1  Convergent validity and reliability of the internal consistency of Role of
Table Page 2.1 Convergent validity and reliability of the internal consistency of Role of

INTRODUCTION

  • Introduction
    • Type of institutional long-term care
    • Mobile Home Care Service Application
  • Problem Statement
  • Research Questions
  • Research Objectives
  • Scope of the Study
  • Expected Benefits

According to the graph, it shows that the population in Thailand will continue to grow in the future. To examine the relationship of perceived ease of use (PEOU), perceived usefulness (PU), perceived reliability (PT), perceived value (PV), perceived risk (PR), social influence (SI) and demographic variables (age, gender) study , marital status, education level, occupation and income level) to the intention to use on mobile home care service application.

Figure 1.2  Thailand population projection  Source: Trading Economics (2016)
Figure 1.2 Thailand population projection Source: Trading Economics (2016)

LITERATURE REVIEW

  • Mobile Application Overview
  • Technology Acceptance Model (TAM)
  • Perceived Ease of Use (PEOU)
  • Perceived Usefulness (PU)
  • Intention to Use
  • Perceived Trustworthiness and TAM model
  • Perceived Trustworthiness (PT)
  • Perceived Risk and TAM
  • Perceived Value (PV)
  • Perceived Risk (PR)
  • Demographic variable and TAM
  • Social Influence (SI)
  • Demographic Variables
  • Hypothesis

In the study “User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust” (Muslim, 2014). From Figure 2.4; The study found that there is a negative relationship between perceived risk and perceived value, as well as between perceived intent.

Figure 2.1  Technology Acceptance Model (TAM)   Source: Davis (1989)
Figure 2.1 Technology Acceptance Model (TAM) Source: Davis (1989)

RESEARCH METHODOLOGY

  • Research Design
  • Data Collection Methodology
    • Population size and Sample size
    • Data Collection
  • Instrument and measurement
    • Perceived Trustworthiness (PT)
    • Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) The questionnaires to measure the “perceived usefulness” (PU), and “perceived
    • Perceived Value (PV) and Perceived Rise (PR)
    • Social Influence (SI)
    • Intention to Use
    • Pilot test
  • Data Analysis

The questionnaire was developed based on the literature review and the questionnaire contains eight parts of questions which are,. The questionnaires to measure the perceived trustworthiness (PT) were adapted from research "Technology Acceptance of Internet Toward E-Government Initiative in Naval Finance Department of Royal Thai Navy" (Nattanpon et al., 2004). The questionnaires to measure the "Perceived Value" (PV) and "Perceived Risk" (PR) were adapted from the study, "Understanding perceived risks in mobile payment acceptance", (Yongqing, 2015).

The questionnaires to measure the "Social Influence" (SI) were adapted from the study "Role of gender on acceptance of mobile payment" (Francisco, 2014). The questionnaires to measure the "Intention to Use" were adapted from the study of Ming-Yi Chen and Ching-I Teng (2013), "A comprehensive model of the effects of online store image on purchase intention in an e-commerce Environment” . To make sure that our instruments have validity and reliability, we distribute the questionnaire to the sample group which is 134 persons (58 male and 76 female) and more than 30% of the actual sample size.

The feedback from the questionnaire will be analyzed by Statistical Package for Social Sciences (SPSS®) software version 15.0. The reliability analysis will help to test the reliability of each factor in the questionnaire, the cut-off is 0.7 (Helms et al., 2006).

RESEARCH FINDINGS

Demographics Frequencies

The table 4.4 shows the education level of the respondents of which the majority of the respondents are at Bachelor's degree level (58.7%). From table 4.5, the majority of the respondents' occupation is private company worker (58.4%), but there are 7 persons in others of which 4 of them work in their family business, and 3 of them work as a freelancer doing multiple jobs. From the table 4.6, the respondents have different income levels, but the majority of them have baht per month.

Table 4.2  Age frequency of the respondents
Table 4.2 Age frequency of the respondents

Frequency of each statement of independent factors influencing intention to use

According to Table 4.7, it shows that there is not much disagreement in this questionnaire set, the mean of this questionnaire is 4.473 and the mean S.D. According to Table 4.8, it shows that there is not much disagreement in this questionnaire set, the mean of this questionnaire is 4.37 and the mean S.D. I don't want to put too much effort into learning how to use the application.

According to table 4.9, it shows that there is no strong difference in this set of questionnaires, the average mean of this questionnaire is 4.544 and the average S.D. According to table 4.10, it shows that there is no strong difference in this set of questionnaires, the average mean of this questionnaire is 4.200 and the average S.D. According to table 4.11, it shows that there is no strong difference in this set of questionnaires, the average mean of this questionnaire is 4.633 and the average S.D.

According to table 4.12, it turns out that there is not much disagreement in this group of questionnaires, the average mean of this questionnaire is 4.274 and the mean S.D. According to table 4.13, it turns out that there is not much disagreement in this group of questionnaires, the average mean of this questionnaire is 4.133 and the mean S.D.

Table 4.7  The statistics of perceived trustworthiness (PT) questionnaires (cont.)
Table 4.7 The statistics of perceived trustworthiness (PT) questionnaires (cont.)

Factor Analysis

From table 4.15; there is only one component for the purpose of using the questionnaire, so it cannot be rotated. According to table 4.17; The total variance explained for the independent factors is 66.386% and exceeds the minimum requirement (60%). From table 4.18; we set the absolute suppression values ​​less than 0.3 to remove the data that are in the range -0.3 to 0.3 which have no significant meaning.

Table 4.14  KMO and Bartlett’s test table of the dependent variable (Intention to use)  KMO and Bartlett
Table 4.14 KMO and Bartlett’s test table of the dependent variable (Intention to use) KMO and Bartlett's Test

Correlation Coefficient Analysis

According to table 4.20; we found that there is a positive relationship between perceived usefulness (PU) and intention to use (IU). And there is also a positive relationship between perceived value (PV) and intention to use (IU).

Table 4.20 Correlations matrix of Intention to Use, Perceived Trustworthiness,  Perceived Usefulness, Perceived Ease of Use, Perceived Value, Perceived Risk,  Social Influence (cont.)
Table 4.20 Correlations matrix of Intention to Use, Perceived Trustworthiness, Perceived Usefulness, Perceived Ease of Use, Perceived Value, Perceived Risk, Social Influence (cont.)

Reliability Test

Regression Analysis

According to table 4.23; If the significance of the R-squared value is less than 0.05, then it is significant.

Table 4.23  Regression Model, ANOVA of Independent factors  ANOVA b
Table 4.23 Regression Model, ANOVA of Independent factors ANOVA b

Crosstabs and Chi-Square Tests between the demographic and intention to use

Result Summarization

Respondents' level of education, with the majority of respondents at bachelor's level. The majority of respondents' occupation is private company worker, but there are 7 people in others, 4 of whom work in their family business and 3 of whom work as freelancers with multiple jobs. The respondents have different income levels, but the majority of them have baht per month.

The result shows that the intention to use the mobile home care application is influenced by five factors: perceived usefulness, perceived ease of use, perceived value, perceived risk and demographic factors: age, marital status, occupation and income level. Using a regression model, this study shows that perceived usefulness, perceived ease of use, perceived value, and perceived risk have a positive relationship with the intention to use the home care application as the following formula.

Result findings and Discussion

According to figure 4.4; the dotted line in the graph shows that the intention to use trend increases for the elderly. Figure 4.7 shows the relationship between the intention to use the mobile home care application and the income level of the respondents. The result is comparable to the Technology Acceptance Model (TAM) (Davis,1989). In addition to the perceived value and the perceived risk, there is also a positive relationship with the intention to use the mobile home care application.

High perceived value means that the application has more benefits than the costs, and it increases the intention to use the application. On the other hand, the perceived risk is also the barrier for the user, and this means that the lower risk can increase the intention to use. Which the perceived value has the positive relationship with the intention to use and the perceived risk has negative relationship with the intention to use.

Contrary to the literature review, this research finds that the perceived trustworthiness (PT) and social influence (SI) do not have a significant relationship with the intention to use the mobile home care application. After using the technology for a while, it no longer affects the intention to use.

Figure 4.3  The relationship between Intention to use and Age
Figure 4.3 The relationship between Intention to use and Age

CONCLUSIONS AND RECOMMENDATIONS

  • Conclusion
  • Recommendation or Managerial Implication
    • Market Segmentation for the mobile homecare application service From our demographic data, we found that the older people have more
    • The service design
    • Application’s user interface design and how to promote the service Beside the demographic data, we also know from the research that there are
  • Research Limitation
  • Future Research

This project helps to update and understand the current perception towards the potential customers by focusing on the intention to use the mobile home care service application. Besides the age, we can focus more on the one who is already married, which can also be set in most of the digital media providers. Furthermore, from the demographic data we found that the people who have a higher income level have more intention to use mobile home care service applications, this information helps us to see the perfect positioning of the application; We can set our positioning to be a premium service and target high income level customers.

From the research, there are 2 factors that are similar and have the greatest influence on the intention to use the application, which are Perceived Value (PV) and Perceived Usefulness (PU). The quality and standard of performance can support both perceived value (PV), perceived utility (PU). The change of context and situation can challenge many frameworks that were implemented in the passport.

Beyond this research, consumer perception may change again once a mobile home care service is on the market. Next, the future research can also conduct qualitative research to investigate what factors can affect the perceived value (PV) of the mobile homecare application such as cost, quality of service, standard of service, etc.

International Journal of Business and Social Research Santiago Jaramillo C. The Use of Mobile Apps as a Service. The mobile home care service application can provide the home care services in the customer's home to the patient or elderly who need an assistant or service but do not need to be closely monitored. The customer can order and pay fees for these services through the application, which is very fast and convenient.

2 The application is convenient to get home care services 3 The application is the fast way to get home care services. 4 The application can save my time getting home care 5 The application is useful for getting home care. 1 The application for mobile home care must be easy to use 2 The application must be easy to understand.

1 I think the mobile home care app is valuable. 2 Use has more advantages than disadvantages. 4 I will use the app if my family member uses it 4 I will use the app if my doctor recommends it.

จุดประสงค

เพศ

ระดับการศึกษา

ประถม

มัธยม

อนุปริญญา

ปริญญาตรี

ปริญญาโท

ปริญญาเอก

อื่นๆ ___________________________________

อาชีพ __________________________________

สถานภาพ

โสด □ แตงงาน

เงินเดือน ________________________________

ความนาเชื่อถือ (Perceived Trustworthiness)

บานควรเชื่อถือได

วางใจได

ความมีประโยชน (Perceived Usefulness)

ประโยชน

คุณคา

ความเสี่ยง (Perceived Risk)

มาตรฐาน

งานมัน

แอปพลิเคชันนี้

ความตั้งใจที่จะใชงาน (Intention to Use)

ดับ

Perceived utility Using electronic mail allows me to do more work than would otherwise be possible. Independent factor Question References Perceived utility Use of electronic mail reduces. time I spend on unproductive activities. Perceived ease of use Interacting with the electronic mail system requires a lot of my mental effort.

Perceived Ease of Use I find it easy to recover from mistakes made while using electronic mail. Perceived ease of use The electronic mail system is rigid and inflexible to interact with. Perceived Ease of Use I find it easy to get the electronic mail system to do what I want it to do.

Perceived ease of use My interaction with the electronic mail system is easy for me to understand. It is easy for me to remember how to complete tasks using the electronic mail system.

Gambar

Figure 2.1  The estimate of world population map of 2015 and the projection of 2035  Source: World Health Organization (2015)
Figure 1.2  Thailand population projection  Source: Trading Economics (2016)
Figure 1.3  Percentage of Youth, Working Age and Elderly Population Projection  (2010-2040)
Figure 1.4  Sample Screenshots of Health at Home Application
+7

Referensi

Dokumen terkait

LIST OF FIGURES Figures Page 1.1 Mobile Connection and Penetration in Thailand from 2005- 2013 1 1.2 The number of Worldwide Line users from 2011- 2014 2 2.1 Example of Thai