Enabling factors for adopting sustainable, organic wine production

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nicola Cobelli ◽  
Andrea Chiarini ◽  
Elena Giaretta
Keyword(s):  
Behavioral Intention ◽  
Quantitative Methods ◽  
Enabling Factors ◽  
Wine Production ◽  
Content Type ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Negative Effect ◽  
Organic Wine ◽  
Facilitating Conditions

PurposeThis study expands the debate on the reasons that wine producers adopt sustainable, organic wine production. It aims to ascertain the enabling factors facilitating behavioral intention regarding such an adoption and whether these factors can be combined in a conceptual, measurable model.Design/methodology/approachA sample of 157 Italian winery companies was used. Results were analyzed through the unified theory of acceptance and use of technology model, various quantitative methods and a multi-regression model.FindingsGender, age, role, experience in the sector and company existence do not affect behavioral intention. Conversely, performance expectancy, effort expectancy, social influences, facilitating conditions, attitude and self-efficacy strongly affect behavioral intention, whereas the determinant anxiety has a negative effect. Further, four factors account for most of the variability in behavioral intention.Research limitations/implicationsThe research is limited to Italian wine producers, and the discussion is based on quantitative results alone. Qualitative data would probably produce a richer, more comprehensive understanding of some phenomena.Practical implicationsManagers and entrepreneurs intending to invest in organic wine production can gain a detailed understanding of factors that affect the behavioral intention toward these technologies by comparing their attitudes with those of Italian producers.Originality/valueSeveral studies have focused on wine consumers' behavior, but very few have investigated wineries' intention to adopt organic wine technology and the likely driving factors.

Predictors of behavioral intention to adopt e-AgriFinance app among the farmers in Sarawak, Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Quistina Omar ◽  
Ching Seng Yap ◽  
Poh Ling Ho ◽  
William Keling
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Agricultural Finance ◽  
Content Type ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Practical Implications

PurposeThis study examines the predictors of behavioral intention of farmers to adopt a mobile agricultural finance application called e-AgriFinance using the Unified Theory of Acceptance and Use of Technology (UTAUT) and perceived cost as an additional predictor.Design/methodology/approachUsing a questionnaire survey, data are collected from 337 farmers in Sarawak, Malaysia. The collected data are analyzed using partial least squares structural equation modelling (PLS-SEM).FindingsThe research finds that performance expectancy, effort expectancy, social influence and facilitating conditions are positively related to behavioral intention to adopt the e-AgriFinance app, with social influence being the strongest predictor. Perceived cost is also found to be positively related to behavioral intention which contradicts the prediction of the model.Research limitations/implicationsThis study contributes to the use of UTAUT in predicting the adoption of mobile agricultural finance applications among farmers.Practical implicationsFor practice, this study provides implications for the Sarawak government to promote digital and financial inclusivity for all communities. This study also provides insights into important features of the e-AgriFinance app for digital finance providers to develop the apps that will be well accepted by farmers in the future.Originality/valueThis research is one of the few studies that focused on farmers' mobile technology adoption in agribusiness from the perspective of an emerging economy.

Using UTAUT 2 model to predict mobile app based shopping: evidences from India

2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar
Keyword(s):  
Behavioral Intention ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile App ◽  
Content Type ◽  
Use Of Technology ◽  
Usage Behavior ◽  
Managerial Implications ◽  
Facilitating Conditions ◽  
The Impact

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.

Toward diffusion of e-Zakat initiatives amid the COVID-19 crisis and beyond

foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saeed Awadh Bin-Nashwan
Keyword(s):  
Smartphone Application ◽  
Future Research ◽  
Snowball Sampling ◽  
Content Type ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Main Determinants ◽  
Facilitating Conditions ◽  
Relief Efforts ◽  
The Relationship

Purpose While the financial relief efforts are struggling to keep up with the COVID-19 outbreak, there is a need for the diffusion of e-Zakat initiatives and work with fintech if governments truly strive to ensure that most vulnerable do not fall behind. The newly launched e-system – popularly known as ZAKATY (e-portal and smartphone application) – in Saudi Arabia is an example worth attention and study on how well people can accept and use the system and Zakat payer-centric e-services, especially amid such uncertain times. The purpose of this study is to explore how an extended unified model of acceptance and use of technology (UTAUT) can induce users to adopt the ZAKATY e-services provided by the General Authority of Zakat and Tax during this unprecedented challenge to pay Zakat online in an easy, fast and reliable way. Design/methodology/approach Drawing on a quantitative approach through an online administered survey, a total of 479 usable responses from individual Zakat payers were obtained using snowball sampling and analyzed through smart partial least squares (SmartPLS) software. Findings This study confirms the suitability and utility of the UTAUT model used in predicting Zakat payers’ intention to adopt the e-Zakat system and its services, indicating that the model possesses 72% of the predictive capability to explain variance in intentions. It also shows that all UTAUT constructs (i.e. performance expectancy, social influence and facilitating conditions) were statistically significant, except for effort expectancy. Online trust exerted a significant moderating effect on the relationship between UTAUT constructs and users’ intentions to uptake the system’s online services amid COVID-19. Practical implications To keep pace with rapid digital transformations amid the pandemic, Zakat institutions, as governmental entities, are likely pursuing to identify the main determinants that influence people’s intentions to engage in adopting e-Zakat services. This could be eventually translated into maximizing the proceeds of Zakat funds by developing ICT-based infrastructure and introducing reliable and efficient e-services that can be adopted by users. Originality/value Given the scarce literature on the relevance of e-Zakat systems’ adoption, this work could serve as a building block and springboard for literature and future research by empirically examining an extended framework derived from the UTAUT theory in the Zakat context.

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.

Forced online experiment and its acceptance among the University students during pandemic in Pakistan

foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Iqra Abdullah ◽  
Shazia Parveen ◽  
Saif Ul Haq
Keyword(s):  
Active Learning ◽  
University Students ◽  
Behavioral Intention ◽  
Online Classes ◽  
Content Type ◽  
Intention To Adopt ◽  
Facilitating Conditions ◽  
Use Behavior ◽  
The Relationship ◽  
Moderating Role

Purpose This study aims to assess the acceptability of online classes among university students of Pakistan through the extension of the unified theory of acceptance and use of technology (UTAUT) model. Design/methodology/approach This study follows a quantitative research approach and data were collected from 662 university students of 10 different universities of Pakistan through a self-administrative Web survey. Structural equation modeling through SmartPLS was used to analyze the data. Findings Findings of the research show that performance expectancy, effort expectancy, social influence and facilitating conditions play a significant role in developing the intention to adopt online classes. Furthermore, facilitating conditions and intention to adopt online classes have further resulted in frequent use behavior. The authors also investigated the moderating role effect of active learning in relationship behavioral intention and use behavior. Findings show that active learning is an important component of online classes that interacts with the behavioral intention to develop the behavior of attending the online mode of learning by students. However, no significant moderation of uncertainty was found in the relationship between four components of acceptance of technology and behavioral intention to adopt the technology. Originality/value The authors have extended the UTUAT model by establishing the relationship between facilitating conditions and behavioral intention that supports e-learning. Furthermore, this study tests the moderating role of uncertainty and active learning on the UTUAT model.

Teenagers’ behavioural intention towards wearable technologies and intention to recommend others: an empirical study in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Shahinur Rahman ◽  
Samir Das ◽  
Gazi Md. Shakhawat Hossain ◽  
Tajia Tajrin
Keyword(s):  
Structural Equation ◽  
Sustainable Use ◽  
Decision Makers ◽  
Behavioural Intention ◽  
Content Type ◽  
Wearable Technologies ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Model Combining ◽  
Facilitating Conditions

Purpose The purpose of this study is to investigate the factors, which drive teenagers’ behavioural intention to adopt wearable technologies and their behavioural intention to recommend others. Design/methodology/approach This study proposes a new adoption model combining two different models including the extended unified theory of acceptance and use of technology and the theory of planned behaviour, which provided relevant contributions for understanding the adoption of wearable technologies. A structural equation modelling approach using analysis of a moment structures 23 software was used to analyse the data collected from 318 respondents. Findings Findings of this study reveals that performance expectancy (β = 0.28; t = 2.049), facilitating conditions (β = 0.28; t = 1.989), social influence (β = 0.23; t = 3.150) and attitude (β = 0.18; t = 3.246) have a statistically significant impact on behavioural intention. Additionally, behavioural intention (β = 0.15; t = 2.543) and attitude (β = 0.15; t = 3.261) have a statistically significant impact on intention to recommend others. However, effort expectancy, price value, hedonic motivation and habit did not have a significant influence on behavioural intention. Practical implications In this study, the understanding of the determinants contributing to teenagers’ behavioural intention to use wearable technologies and driving their intention to recommend others to adopt these devices will provide insights to practitioners and decision makers to customize the features of wearable devices to promote sustainable use of these technologies. Originality/value This study is among the first to investigate wearable technologies from behavioural perspectives especially on teenagers in Bangladesh. Hence, the findings of this study will help to comprehensively explain teenagers’ behavioural intention to adopt wearable technologies and their intention to recommend others.

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.

Examining augmented reality adoption by consumers with highlights on gender and educational-level differences

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salma S. Abed
Keyword(s):  
Saudi Arabia ◽  
Augmented Reality ◽  
Behavioral Intention ◽  
Educational Level ◽  
Online Survey ◽  
Middle Eastern ◽  
Content Type ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
The Right

Purpose This study aims to explore the factors that could affect consumers’ adoption of augmented reality (AR) and investigate the interaction between gender and educational level on intention to adopt AR in developing countries as demonstrated here by Saudi Arabia. Design/methodology/approach The examined constructs were developed by integrating factors from the unified theory of acceptance and the use of technology (UTAUT2), including performance expectancy, expectancy effort, social influence, facilitating conditions, hedonic motivation and habit. Price value was eliminated and innovativeness was added to the examined constructs. Data were collected from 673 Saudi consumers through an online survey by implementing a convenience sampling. Furthermore, the effect of gender and education level on behavioral intention to adopt AR by consumers was examined. Findings The results of the regression analysis showed that the independent variables statistically significantly predict the consumers’ behavioral intention toward AR adoption with all the examined constructs. The proposed model was able to explain 84% of the variance of behavioral intention. Furthermore, there was a statistically significant interaction between the effects of gender and educational level on intention to adopt AR. Practical implications This study will clarify the relatively low diffusion rate of AR adoption in Saudi Arabia, which will help business owners and marketers to develop the right strategies, especially strategies that are associated to marketing and developing mobile applications by incorporating AR technologies, which will attract the attention of many users. Originality/value This is one of the few studies that has explored the intention to adopt AR by consumers by examining the UTAUT2 constructs in the Middle Eastern cultural contexts, in contrast to previous studies, specifically Saudi Arabia. This study further investigated the interaction between the effects of gender and educational level on intention to adopt AR.

Consumers’ acceptance and use of plastic money in Harare, Zimbabwe

2018 ◽  
Vol 36 (2) ◽  
pp. 379-392 ◽  
Author(s):  
Charles Makanyeza ◽  
Simolini Mutambayashata
Keyword(s):  
Developing Countries ◽  
Structural Equation ◽  
Behavioural Intention ◽  
Content Type ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Selection Of

Purpose The purpose of this paper is to apply unified theory of acceptance and use of technology 2 to determine factors influencing acceptance and use of plastic money in Zimbabwe. Design/methodology/approach Using a cross-section of 528 consumers, respondents were randomly intercepted as they walked out of five major supermarkets in Harare, Zimbabwe. Random selection of consumers was done in order to ensure a representative sample. Consumers were asked to complete a structured questionnaire. Structural equation modelling was applied to test research hypotheses. Findings Results show that performance expectancy, effort expectancy, hedonic motivation and habit all positively influenced behavioural intention to adopt plastic money. Social influence, facilitating conditions and perceived financial cost all did not have a significant effect on behavioural intention to adopt plastic money. Behavioural intention positively influenced consumers’ use behaviour on plastic money. Research limitations/implications This study is among the pioneers of research in this field in Zimbabwe and other developing countries. Likewise, caution must be taken when researchers try to generalise findings from this study. It is, therefore, recommended that more studies of this nature be conducted in other developing countries in order to have a more solid understanding of consumers’ adoption of plastic money. Practical implications The study advises banks to pay particular attention to performance expectancy, effort expectancy, hedonic motivation and habit when devising strategies to increase the adoption of plastic money. Originality/value Factors that influence the adoption of plastic money are not widely researched under circumstances such as those existing in Zimbabwe. The Zimbabwean financial sector provides a unique environment to conduct studies of this nature.

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.

Sign in / Sign up

Export Citation Format

Share Document