Rodrigo Perez‐Vega

ORCID: 0000-0003-1619-317X
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About
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Research Areas
  • Digital Marketing and Social Media
  • Sharing Economy and Platforms
  • Technology Adoption and User Behaviour
  • AI in Service Interactions
  • Digital Economy and Work Transformation
  • FinTech, Crowdfunding, Digital Finance
  • Consumer Retail Behavior Studies
  • Impact of Technology on Adolescents
  • Knowledge Management and Sharing
  • Big Data and Business Intelligence
  • Transportation and Mobility Innovations
  • Qualitative Research Methods and Ethics
  • Housing, Finance, and Neoliberalism
  • Data Analysis and Archiving
  • Dispute Resolution and Class Actions
  • Consumer Behavior in Brand Consumption and Identification
  • Customer Service Quality and Loyalty
  • Diverse Aspects of Tourism Research
  • Religious Tourism and Spaces
  • Sentiment Analysis and Opinion Mining
  • Islamic Finance and Banking Studies
  • Job Satisfaction and Organizational Behavior
  • Intellectual Capital and Performance Analysis
  • Halal products and consumer behavior
  • Attachment and Relationship Dynamics

University of Reading
2016-2025

University of Kent
2021-2022

Henley College
2018-2022

Medway School of Pharmacy
2021-2022

Heriot-Watt University Malaysia
2016

Abstract This study is the first to provide an integrated view on body of knowledge artificial intelligence (AI) published in marketing, consumer research, and psychology literature. By leveraging a systematic literature review using data‐driven approach quantitative methodology (including bibliographic coupling), this provides overview emerging intellectual structure AI research three bodies examined. We identified eight topical clusters: (1) memory computational logic; (2) decision making...

10.1002/mar.21619 article EN Psychology and Marketing 2021-12-09

As new applications of artificial intelligence continue to emerge, there is an increasing interest explore how this type technology can improve automated service interactions between the firm and its customers. This paper aims develop a conceptual framework that details firms customers enhance outcomes firm-solicited firm-unsolicited online customer engagement behaviors through use information processing systems enabled by intelligence. By building on metaphor as organisms taking...

10.1016/j.jbusres.2020.11.002 article EN cc-by Journal of Business Research 2020-11-21

This study aims to understand the drivers behind usage habits of voice assistants (VAs). To do so, we extend Technology Acceptance Model in conjunction with concept privacy cynicism, a cognitive process that remains understudied academic literature. The model is validated using PLS analysis through Smart-PLS. Data gathered via MTurk includes 265 actual VAs users. It observed ease use and perceived usefulness have positive impact on attitude toward VAs, while cynicism has negative impact....

10.1080/10447318.2021.1987677 article EN cc-by-nc-nd International Journal of Human-Computer Interaction 2021-10-25

Abstract This study draws upon Behavioral Reasoning Theory and the Technology Acceptance Model to investigate consumer engagement with AI‐powered voice assistants. The creates a theoretical model examine effects of reasons for against using research exemplifies attitudes towards assistants willingness provide personal information as key constructs. current tests data from 491 assistant users via mTurk, we utilize multimethod analysis scheme including partial least squares technique fuzzy set...

10.1002/mar.21873 article EN cc-by Psychology and Marketing 2023-07-21

This paper examines the links between cosmopolitanism, self-identity, and a desire for social interaction on perceived destination image behavioural intentions. A model was tested using sample of 538 Iranian visitors to Mecca purpose Umrah. The result from structural suggests that attributes influence image. Further, such tourists are likely revisit or recommend Islamic destinations if their experience matches destination. implies that, while religious characteristics remain important,...

10.1080/02642069.2017.1333601 article EN Service Industries Journal 2017-05-31

Abstract Recent research has established a positive relationship between the use of service robots powered by artificial intelligence in hospitality firms and customer satisfaction online ratings, particularly important form electronic word mouth. However, it is not clear if how this augmented or diminished moderating factors. In study, we examined four potential moderators using machine learning natural language processing techniques to analyze 20,166 reviews hotels that had implemented...

10.1002/mar.21903 article EN cc-by Psychology and Marketing 2023-09-16

This paper proposes that Social Influence Theory is an appropriate approach for understanding social media interaction.Increasingly organisations are looking ways to develop effective presence in increase awareness, customer satisfaction, sales and consumer engagement with the brand.The influence of interpersonal interaction upon attitude, beliefs behaviour, has been studied within psychology.Different forms immediacy: physical, temporal theorised as exerting distinct influences individual...

10.1362/146934716x14636478977791 article EN The Marketing Review 2016-11-21

The “digital nomad” (DN) neotribe includes professionals who work remotely from different locations. Despite the benefits of digital nomadism (e.g. flexibility, high mobility, and leisure-centeredness) opportunities for meeting like-minded people, one consequences lifestyle may be loneliness. By using 30 in-depth interviews, this study explores interaction between We conceptualize DN as a continuum that may, but does not have to, lead to feelings External factors such lack social support,...

10.1177/01634437241290087 article EN cc-by-nc Media Culture & Society 2024-10-30

Digital nomads (DNs) are highly mobile professionals who work while travelling and travel working. Their lifestyle has gained increasing academic attention, also from a communication perspective. Despite initial on the topic, little is known about self-presentation practices of DNs social media. To address this lack evidence focusing Instagram as key platform for group, we adopt Goffmanian By using semi-structured interviews, provide an in-depth analysis their self-presentational practices,...

10.1177/14614448231205892 article EN cc-by New Media & Society 2023-10-27

Short-term rental platforms such as Airbnb have enjoyed considerable success in recent years. However, critics accuse the of having negative impacts, leading to gentrification, disruption, and increased rent house prices. While research has investigated actual impacts short-term platforms, we lack systematic, generalizable, comparative evidence on perceived especially from a social exchange perspective country level. To address these shortcomings, conducted representative survey US UK with...

10.1016/j.techsoc.2024.102586 article EN cc-by Technology in Society 2024-05-16

In this position paper, we have used Alan Cooper's persona technique to illustrate the utility of audio- and video-based AAL technologies. Therefore, two primary examples potential users, Anna Irakli, serve as reference points for describing salient ethical, legal social challenges related use AAL. These are presented on three levels: individual, societal, regulatory. For each challenge, a set policy recommendations is suggested.

10.2139/ssrn.4282341 article EN SSRN Electronic Journal 2022-01-01

This paper develops and tests a scale for hindrance in the context of in-app mobile advertising. With changes advertising capabilities, research on attitudes towards has mainly focused SMS However, formats have increased since introduction smartphones internet capabilities. We propose that within advertising, current models this type do not reflect use perception users these platforms. Using combination qualitative quantitative methods, we explore role plays consumers. then develop test...

10.13140/rg.2.1.2426.5044 article EN 2015-11-23
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