Understanding factors affecting non-participants’interest in community-supported agriculture

Community-supported agriculture(CSA)has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia.This study uses the wellestablished unified theory of acceptance and use of technology(UTAUT2)model to examine the interest in CSA of potential customers in Indonesia.A standardized questionnaire was distributed to 1200 respondents,and the data were analyzed using structural equation model-partial least square(SEM-PLS)in SmartPLS 4.0 software.The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia.The model explains 44.4%of customers’intentions,and identifies performance expectancy as the decisive factor in customers’willingness to participate in CSA.Performance expectancy(0.292),hedonic motivation(0.262),social influence(0.259),and facilitating conditions(0.086)positively influence customers’interest in participating in a CSA program.The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies,offering training on sustainable farming practices,facilitating the establishment of distribution channels,and establishing guidelines for fair price and quality standards.This study shows the high potential for the implementation of CSA in Indonesia.It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.

A Study on consumers＇ continuing to use online group-buying platforms： The impact of price performance expectations

In this study, we aim to understand the characteristics of online group-buying consumers and to investigate salient factors which influence the continuance intention of online group-buying platforms （OGBP） to bridge this knowledge gap. An expectation-confirmation model of information systems （IS） continuance is adapted to construct a research model in online group-buying contexts. A total of 289 complete and valid responses were collected. Our findings contribute to academics and practitioners in two ways： Firstly, our respondents show that they are young （93% of the respondents＇ ages range between 19 and 28 years old）, female （88% of the respondents）, and thrifty （82% of the respondents＇ transaction amounts are below US$16）. Secondly, based on our results, price performance expectations have a direct impact on confirmation. In addition, in contrast to the IS continuance model （Bhattacherjee, 2001）, the effect of perceived usefulness on satisfaction is not supported. Thus, in online group-buying settings, confirmation is the key antecedent of satisfaction. Satisfaction and perceived usefulness are significantly associated with OGBP continuance intention. Consequently, in addition to offering a wide assortment of merchandise and a convenient online shopping experience to enhance customers＇ perceived usefulness of OGBP, OGBP managers should aim low-price marketing strategies at this female, young, thrifty and price-sensitive segment to transcend consumers＇ price expectations and attract consumers＇ continued intention to visit OGBP.

Intention to Use Mobile Augmented Reality in the Tourism Sector

This article examines the main variables that influence the intention to use Augmented Reality(AR)applications in the tourism sector in Jordan.The study model has been constructed based on the unified theory of acceptance and the use of technology2(UTAUT2),by incorporating a new construct(aesthetics)to explore the usage intention of Mobile Augmented Reality in Tourism(MART).A questionnaire was used and distributed to a sample of 450 participants.Data were analyzed using the Smart PLS version 3.0.for testing 12 hypotheses.29 measurement items were carefully reviewed based on previous studies that were selected to assess the research hypotheses.The findings revealed that the proposed model elucidates 35.7%of the variance in the users’intention to use MART.The results also showed that both performance expectancy and aesthetics were found to be the most significant factors at level(0.001).Four variables,respectively,were at level(0.01)which consisted of social influence,facilitating conditions,hedonic motivation,and price value.The weakest effect was effort expectancy at level(0.05).As the use of AR has become important for tourists,this study establishes a research base that can be built upon for future researchers.MART developers can benefit from the results of this research to design and deliver this service successfully and to ensure that its adoption by users is achieved.

Influencing factors of using behaviour for computational advertising under the theoretical model of UTAUT

Based on the UTAUT theoretical model, this paper discusses the applicability of the model incomputational advertising situations. Computational advertising relies on artificial intelligencetechnologies such as big data, cloud computing, new algorithms, and blockchain. Results showthat: performance expectation, effort expectation, and social impact have a positive influence onthe acceptance intention of computational advertising;stimulus has no significant influence onthe using behaviour of computational advertising;the acceptance intention of computationaladvertising has a positive influence on the using behaviour of computational advertising. Fourpoints should be paid attention to in the future computational advertising: paying attention tothe needs of users and realising accurate advertising;improving efforts and expectations andoptimising user experience;enhancing user interaction and user stickiness;protecting user privacyand improving user satisfaction. The core of computational advertising research in the fieldof humanities and social sciences is not dislocated from the traditional user-centred problemconsciousness.