Critical factors impacting the adoption of foresight by companies

foresight ◽  
2017 ◽  
Vol 19 (6) ◽  
pp. 541-558 ◽  
Author(s):  
Ludmila Kováříková ◽  
Stanislava Grosová ◽  
Dušan Baran
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Research Model ◽  
Content Type ◽  
Personal Innovativeness ◽  
Corporate Foresight ◽  
Use Of Technology ◽  
Facilitating Conditions

Purpose The presented study aims to provide an understanding of the mechanism whereby foresight is accepted by Czech companies. The results of the study can offer insights into how to design an optimized corporate foresight tool. Design/methodology/approach The well-established framework of unified theory of acceptance and use of technology (UTAUT2) served as a baseline for research into key determinants of the behavioral intention to use the foresight. The proposed research model included independent variables of UTAUT2 relevant in the context of foresight. The additional variable of personal innovativeness was introduced as a potential predictor. Structural equation modeling (SmartPLS 2.0 software) was used to evaluate the data. Findings Performance expectancy regarding foresight was identified as the most substantial predictor of behavioral intention in line with the scientific literature. Surprisingly, the second strongest predictor was the construct of personal innovativeness, and social influence was also proven to affect behavioral intention. The results show that traditional determinants of effort expectancy, facilitating conditions, hedonic motivation and habit did not play a significant role in relation to behavioral intention to adopt the foresight. Research limitations/implications The attributes of cost and intention to use could not be included in the research model, as the corporate foresight is not commonly implemented. Second, the tested sample included 103 interviewed organizations but only from Czech Republic. Originality/value The study primarily aims to enhance the corporate foresight theory. Secondarily, it extends the UTAUT2 theoretical framework by testing personal innovativeness as a variable explaining behavioral intention. The authors provide statistical evidence of factors impacting the adoption of corporate foresight by companies.

An empirical examination of Instagram as an s-commerce channel

2018 ◽  
Vol 15 (2) ◽  
pp. 146-160 ◽  
Author(s):  
Salma Abed
Keyword(s):  
Saudi Arabia ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Social Commerce ◽  
Empirical Examination ◽  
Content Type ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Facilitating Conditions

Purpose The purpose of this paper is to review the literature and empirically examine a theory-based model in the context of social commerce (s-commerce). The study examined the popular photo-sharing platform “Instagram” to determine the value of s-commerce and its acceptance by customers. Design/methodology/approach Using the unified theory of acceptance and use of technology (UTAUT) as the theoretical framework, the researcher examined the proposed research model and related hypotheses. A survey questionnaire of 441 Instagram users in Saudi Arabia was collected and analyzed using structural equation modeling. Findings The results revealed that social influence and trust are the most significant factors affecting behavioral intention. In contrast, the effect of facilitating conditions on behavioral intention was found to be not significant. Originality/value Very limited empirical research has been conducted in the context of s-commerce in the Arab region generally and in Saudi Arabia specifically. The findings of the present study will provide guidance that could be put into action for marketers and professionals in Saudi Arabia.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

Factors influencing the adoption of crowdfunding in Bangladesh: a study of start-up entrepreneurs

2019 ◽  
pp. 026666691989555
Author(s):  
Mohammad Tariqul Islam ◽  
Muhammad Tahir Abbas Khan
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Perceived Trust ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Start Up ◽  
Actual Use ◽  
Facilitating Conditions ◽  
Use Behavior

Despite widespread adoption of crowdfunding for funding social donation projects, its adoption among start-up entrepreneurs is significantly low, in developing countries in particular. Research has been performed to investigate the crowdfunding adoption intention of start-up entrepreneurs in Bangladesh. This study aimed to identify the motivation behind the intentions of the entrepreneurs to adopt crowdfunding, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model with extensions. Empirical data were collected from 317 respondents and analyzed using Partial Least Squares-based Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions and perceived trust mpact significantly ion the entrepreneurs’ behavioral intention to adopt crowdfunding. In contrast, trialability and perceived trust were not found to be significant determinants. However, trialability has a significant positive relation with use behavior or actual use, whereas no significant relationship has been identified between behavioral intention and use behavior.

scholarly journals Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

10.2196/15023 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e15023 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Diabetes Management ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Web Based ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

Background Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. Objective This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. Methods The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. Results A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). Conclusions Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2021 ◽  
pp. 319-340
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals ANALISIS MINAT DAN PERILAKU PENGGUNAAN APLIKASI SHAREIT DENGAN PENDEKATAN UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY

2021 ◽  
Vol 4 (2) ◽  
pp. 170-184
Author(s):  
Qona'ah El Hasan ◽  
Budi Permana
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Positive Influence ◽  
Unified Theory ◽  
Personal Innovativeness ◽  
Use Of Technology ◽  
User Communities ◽  
Effort Expectancy ◽  
Facilitating Conditions

Technology acceptance is important for identifying elements that influence the user, so it is easy to use apps. The evaluation of technology reception will help to improve the system better in the future and indicate whether the system succeeded or not, so the users will keep using the apps. SHAREit is a program that can be downloaded on the Android Smartphone platform and on personal computers. It is able to transfer documents, pictures, music, and videos rapidly. Even so, the applications are faster than Bluetooth and Wifi. Then, Indonesia is the biggest second market for SHAREit in the world. The research is proposed to detect how the user accepts SHAREit in Kuningan Regency by using the Unified Theory of Acceptance and Use of Technology Method. It has been modified. The instrument of research is a questionnaire then distributed to user communities of SHAREit in Kuningan Regency by using Incidental Sampling, instrument testing and data processing Structural Equation Modelling by AMOS apps. Furthermore, the hypothesis is arranged through moderator variables; age, gender, and experience. The result of research indicates that there are three factors possessing positive influence on Behavioral Intention of usage SHAREit, such as Performance Expectancy, Social Influence, and Facilitating Conditions. A factor influencing use of behavioral is behavioral intention. Whereas, Personal Innovativeness in the Domain of Information Technology and Effort Expectancy do not influence the Behavioral Intention of SHAREit Apps in Kuningan Regency.

scholarly journals FAKTOR-FAKTOR YANG MEMENGARUHI PENERIMAAN DAN PENGGUNAAN SISTEM INFORMASI PENGELOLAAN KEUANGAN DAERAH (SIPKD) DALAM PERSPEKTIF THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 2 (UTAUT 2) DI KABUPATEN SEMARANG

2018 ◽  
Vol 15 (1) ◽  
pp. 37
Author(s):  
Sutanto Sutanto ◽  
Imam Ghozali ◽  
Rr. Sri Handayani
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Sem Analysis ◽  
Primary Data ◽  
Equation Modeling ◽  
Survey Method ◽  
Independent Variables ◽  
Use Of Technology ◽  
Facilitating Conditions ◽  
Use Behavior

This study aims to analysis and obtain empirical evidence of factors that affected the end user’sacceptance of SIPKD in Semarang Regency by using UTAUT 2 model. Sistem InformasiPengelolaan Keuangan Daerah (SIPKD) is an integrated application as a tool of localgovernment to improve the effectiveness of the implementation of regional financial managementregulations. This application is based on efficiency, economical, effective, transparent,accountable, and auditable principles. The independent variables in this study consisted ofperformance expectancy, effort expectancy, social influence, facilitating conditions, hedonicmotivation, and habit. The dependent variable consists of behavioral intention and use behavior.The relationship between independent variables to dependent variable was moderated by age,gender, and experience.Population variable in this research is SIPKD user or operator in 46local area of Government of Semarang Regency that is 331 user of SIPKD. The technique ofdetermining the sample using proportionate stratified random sampling method so that thesample in this study as many as 207 users of SIPKD. The data used were primary data collectedusing questionnaire survey method. The hypothesis of the research was tested by using PartialLeast Squares Structural Equation Modeling (PLS-SEM) analysis with SmartPLS applicationv.3.2.7. The results showed that hedonic motivation and habit influence the behavioral intentionto use SIPKD, the higher the level of pleasure and habits of using SIPKD then the intention touse SIPKD will be stronger. Facilitating conditions, habit and behavioral intention have an effecton Use behavior. The better the conditions that facilitate, the higher the use of SIPKD, and theintention to use the stronger the higher the SIPKD usage behavior often. The results of the test ofage, gender, and experience variables showed no moderate effects on behavioral intention anduse behavior.

Individuals' intention to use sports wearables: the moderating role of technophobia

2020 ◽  
Vol 21 (2) ◽  
pp. 225-245 ◽  
Author(s):  
Nilsah Cavdar Aksoy ◽  
Alev Kocak Alan ◽  
Ebru Tumer Kabadayi ◽  
Alican Aksoy
Keyword(s):  
Structural Equation ◽  
Digital Age ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Constructs ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The Relationship

PurposeThis study aims to examine the wearable devices market as an essential representative of the digital age using a framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the context of sports wearables.Design/methodology/approach411 people, are both users and non-users of this technology were surveyed online, and the obtained data analyzed using structural equation modeling.FindingsThe results support the effects of performance expectancy, effort expectancy, facilitating conditions, and social influence on attitude toward sports wearables and attitude of usage intention. Further, technophobia moderates the relationship between performance expectancy and attitude. However, a moderating effect of technophobia on the relationship between effort expectancy and attitude was not observed.Originality/valueDue to innovative technologies in the digital age we live in, the devices we use in everyday life have gained intelligence. As more developments take place, and related products enter the market, understanding how people react to these products becomes an important issue. While investigating this issue in the context of sports wearables in this study, an important psychological construct, technophobia, was included in the research model in order to explore the usage intention of individuals through the effects of psychological constructs, such as paranoia, fear, anxiety, cybernetic revolt and cellphone avoidance, and the strong combination of important constructs of phobia to go against technology.

scholarly journals Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey (Preprint)

2019 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Diabetes Management ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Web Based ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

BACKGROUND Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. OBJECTIVE This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. METHODS The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. RESULTS A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). CONCLUSIONS Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

Investigating the determinants of e-book adoption

2017 ◽  
Vol 51 (1) ◽  
pp. 2-16 ◽  
Author(s):  
Chia-Lin Hsu ◽  
Yu-Hsiang Lin ◽  
Mu-Chen Chen ◽  
Kuo-Chien Chang ◽  
Ai-Yun Hsieh
Keyword(s):  
Structural Equation ◽  
Information Technologies ◽  
Environmental Concern ◽  
Equation Modeling ◽  
Key Factors ◽  
Content Type ◽  
Use Of Technology ◽  
Perceived Benefit ◽  
Facilitating Conditions ◽  
Survey Responses

Purpose The purpose of this paper is to examine the key factors that affect users’ adoption of e-books using an extension of the unified theory of acceptance and use of technology (UTAUT) that includes the following factors: environmental concerns, perceived benefits, and benevolence trust. Design/methodology/approach The authors analyzed survey responses from 343 participants using structural equation modeling to examine the hypothesized relationships in this research model. Findings The results show that users’ adoption of e-books is determined by performance expectancy, effort expectancy, social influence, facilitating conditions, environmental concern, perceived benefit, and benevolence trust. Research limitations/implications The authors restricted this study to consumers’ adoption of e-books. Further studies could examine consumer’s adoption of other mediums, such as cutting-edge information technologies. Practical implications The results suggest that marketers should consider altering their methods of promoting e-books to attract consumers and further affect their usage intention. Originality/value This study proposes and tests an extended UTAUT model that includes the additional factors of environmental concern, perceived benefit, and benevolence trust in order to examine the influence of these factors on e-book adoption. The findings are particularly useful for assisting managers to increase e-book adoption.

Sign in / Sign up

Export Citation Format

Share Document