The influence of consumer anthropomorphism on attitudes towards artificial intelligence trip advisors

Martin, Brett; Jin, Hyun Seung; Wang, Di; Nguyen, Han; Zhan, Kun; Wang, Ying Xian

doi:10.1016/j.jhtm.2020.06.004

Cited by 49 publications

(18 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since prior research in the tourism field has also indicated significant differences for gender, age, education and purpose of travel (Martin et al , 2020), this study included these as control variables to avoid any spurious effects on the outcomes (i.e. IAPI).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions

Lim

Cheah

Morrison

et al. 2022

View full text Add to dashboard Cite

Purpose With the diffusion of innovation theory (DOI) and theory of planned behaviour (TPB) as the guiding theoretical perspectives, this research aims to identify the factors motivating user attitudes and in-app purchase intentions (IAPIs). The moderating impact of user inertia towards TPB constructs was also explored. Design/methodology/approach A total of 500 responses were received via an online survey fielded from July to October 2021. The data were then analysed using partial least square structural equation modeling (PLS-SEM). Findings The results indicated that attitudes towards travel app shopping were predominantly determined by perceived relative advantages, compatibility and complexity. Findings also suggested that IAPIs are positively influenced by attitudes, communicability and perceived behavioural control and are moderated by user inertia. Originality/value A holistic framework integrating theoretical foundations from two disciplines (information systems and psychology) was designed to explain factors motivating user intentions to purchase travel products and services from apps. This research found a missing link in previous studies by showing the indirect role of attitudes that bridges the DOI and TPB and the importance of inertia as a key boundary condition.

show abstract

Section: Hypotheses Developmentmentioning

confidence: 99%

Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions

Lim

Cheah

Morrison

et al. 2022

View full text Add to dashboard Cite

show abstract

“…AI is incorporated in computers, smartphones, cars, and in various machines and robots in factories (e.g., in products and services of Apple Inc. [1], BMW [2], Daimler [3], Google [4]). Recent work reveals that individuals differ in their attitudes towards AI products [5][6][7][8][9][10]. Thus, system characteristics (i.e., AI related characteristics) on their own cannot explain all the variance in individuals' attitudes towards AI.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies from various fields show that there are individual differences in attitudes towards and trust in AI [5][6][7][8][9][10]. 1 Differences in attitudes towards AI are most likely due to the various negative and positive consequences of incorporation of AI in daily life, which might differ in terms of perception between individuals: On the one hand, some experts suggest the putative replacement of certain jobs by machines, which are currently implemented by humans [19,20].…”

Section: Introductionmentioning

confidence: 99%

Acceptance and Fear of Artificial Intelligence: associations with personality in a German and a Chinese sample

et al. 2022

View full text Add to dashboard Cite

Understanding individual differences in attitudes towards Artificial Intelligence (AI) is of importance, among others in system development. Against this background, we sought to investigate associations between personality and attitudes towards AI. Relations were investigated in samples from two countries—Germany and China—to find potentially replicable, cross-culturally applicable associations. In German (N = 367, n = 137 men) and Chinese (N = 879; n = 220 men) online surveys, participants completed items on sociodemographic variables, the Attitudes Towards Artificial Intelligence (ATAI) scale, and the Big Five Inventory. Correlational analysis revealed among others significant positive associations between Neuroticism and fear of AI in both samples, with similar effect sizes. In addition to a significant association of acceptance of AI with gender, regression analyses revealed a small but significant positive association between Neuroticism and fear of AI in the German sample. In the Chinese sample, regression analyses showed positive associations of acceptance of AI with age, Openness, and Agreeableness. Fear of AI was only significantly negatively related to Agreeableness in the Chinese sample. The association of fear of AI with Neuroticism just failed to be significant in the regression model in the Chinese sample. These results reveal important insights into associations between certain personality traits and attitudes towards AI. However, given mostly small effect sizes of relations between personality and attitudes towards AI, other factors aside from personality traits seem to be of relevance to explain variance in individuals’ attitudes towards AI, as well.

show abstract

“…, 2021). AI is helping the tourism industry by investigating the customer's individual differences and attitudes while providing trip advice (Martin et al. , 2020).…”

Section: Discussionmentioning

confidence: 99%

Reinforcing customer journey through artificial intelligence: a review and research agenda

Rana

Gaur

Singh

et al. 2021

IJOEM

View full text Add to dashboard Cite

Purpose This study defines a three-angled research plan to intensify the knowledge and development undergoing in the retail sector. It proposes a theoretical framework of the customer journey to explain the customers' intent to adopt artificial intelligence (AI) and machine learning (ML) as a protective measure for interaction between the customer and the brand.Design/methodology/approach This study presents a research agenda from three-dimensional online search, ML and AI algorithms. This paper enhances the readers' understanding by reviewing the literature present in utilizing AI in the customer journey and presenting a theoretical framework.Findings Using AI tools like Chatbots, Recommenders, Virtual Assistance and Interactive Voice Recognition (IVR) helps create improved brand awareness, better customer relationships marketing and personalized product modification.Originality/value This study intends to identify a research plan based on investigating customer journey trends in today's changing times with AI incorporation. The research provides a novel model framework of the customer journey by directing customers into different stages and providing different touchpoints in each stage, all supported with AI and ML.

show abstract

The influence of consumer anthropomorphism on attitudes towards artificial intelligence trip advisors

Cited by 49 publications

References 19 publications

Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions

Travel app shopping on smartphones: understanding the success factors influencing in-app travel purchase intentions

Acceptance and Fear of Artificial Intelligence: associations with personality in a German and a Chinese sample

Reinforcing customer journey through artificial intelligence: a review and research agenda

Contact Info

Product

Resources

About