Deep affection: service robots increase brand love of restaurants DOI
Shu-Hua Wu

British Food Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Purpose Service robots with advanced artificial intelligence (AI) can collect data on customer preferences, understand complex requests, improve services, and tailor marketing strategies. This study examined how perceived relatedness, warmth, customer–AI-assisted exchanges (CAIX) of service affect competencies brand love through service-robot intimacy. Design/methodology/approach A model was developed based the AI device using acceptance an emotional perspective. Data were collected from customers who had dined in robot restaurants; 415 questionnaires completed, partial least squares analysis adapted to proposed model. Findings The results demonstrate that warmth CAIX intimacy restaurants. Customers feel friendly satisfied a restaurant’s will recommend it their friends. Research limitations/implications draws theory existing literature identify principal factors restaurant capabilities. Future research include capabilities adoption process as direction relationship management while also exploring influence computing supply chains. Likewise, agility stages innovation be discussed future different theories, which bridge unique insights. Practical implications findings this emphasize between propose specific practice areas for Originality/value expands main issue current traditional operations novel field humanoid It enriches our understanding consumers’ fondness affects behavioural intentions.

Language: Английский

Influence of ChatGPT in professional communication – moderating role of perceived innovativeness DOI
Smriti Mathur, V Anand, Durgansh Sharma

et al.

International Journal of Information and Learning Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Purpose ChatGPT, a cutting-edge language model, stands as an unparalleled, unmatched conversational ally, showcasing novel versatility and intelligence in its responses. This research delves into the incorporation of powerful generative AI tool, professional communication. study utilizes information system success model (ISSM) to examine role ChatGPTs strengthening quality (IQ), (SQ) service (SEQ) for improving customer usage intention (UI) satisfaction (SAT). The also investigates moderating impact perceived innovativeness between these relationships. Design/methodology/approach collected data from sample 400 customers through online survey validated hypothesized relationships using structural equation modelling (SEM). Process Macros 4.1 SPSS 22.0 is used test innovation IQ, SQ SEQ UI SAT. Findings results SEM analysis indicate that all positively support use ChatGPT communication with result establishes moderates relationship Originality/value offers contributions literature body knowledge by establishing Further, this proposes 2*2 matrix segment SAT users varying degrees innovativeness.

Language: Английский

Citations

1
Cuteness vs. Usefulness: A Dual Perspective on Service Robot Acceptance in the Travel Industry DOI Creative Commons

José Maeiro,

Álvaro Dias, Leandro Pereira

et al.

Journal of theoretical and applied electronic commerce research, Journal Year: 2025, Volume and Issue: 20(1), P. 48 - 48

Published: March 10, 2025

The integration of service robots in the travel and hospitality industry is rapidly transforming customer interactions, offering both operational efficiencies novel guest experiences. Despite their increasing presence, there remains a gap understanding factors influencing tourists’ acceptance robots, particularly interplay between hedonic functional motivations. Existing research has not fully explored how perceived cuteness usefulness shape initial interest long-term these technologies. This study addresses this by applying Service Robot Acceptance Model (SRAM) Technology (TAM) to examine dual role shaping consumer attitudes toward tourism. We employ PLS-SEM approach based on survey data from 183 respondents, analyzing perceptions differ individuals who have previously interacted with robots. Findings reveal that influences but does translate into acceptance, whereas performance expectancy drive acceptance. Additionally, we highlight impact sample composition results, recognizing potential biases suggesting future directions improve generalizability. These insights offer practical guidance for tourism managers marketers, helping them optimize robot deployment balancing aesthetic appeal efficiency enhance

Language: Английский

Citations

1
Am I ready to use self-driving robot food delivery? A comparison between countries that use the extended UTAUT model DOI

Hanjin Lee,

Jeong‐Yeol Park, Seongseop Kim

et al.

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

Purpose The purpose of this study was to apply the extended Unified Theory Acceptance and Use Technology (UTAUT) model predict behavioral intentions with moderating role economic development status in restaurant industry. Design/methodology/approach Survey responses were collected from 318 South Korean 315 Mongolian respondents. Furthermore, evaluate hypotheses research model, employed structural equation modeling (SEM) used a multiple-group analysis examine status. Findings Performance expectancy, effort social influence, facilitating conditions perceived risk significantly affected attitude, which turn had positive influence on intention use word-of-mouth intentions. In addition, moderated relationship between (1) performance expectancy attitude (2) attitude. Originality/value Research related self-driving robot food delivery is very scarce. This enhances theoretical knowledge regard by determining main factors relating consumers’ attitudes behavior addresses gap different settings.

Language: Английский

Citations

0
Key Drivers of Sustainable Marketing in the Chinese Hotel Industry: The Mediating Role of Big Data Applications and Marketing Innovation DOI Open Access
Hongwei Qin, Yang Li, Md Billal Hossain

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4425 - 4425

Published: May 13, 2025

The service industry in China faces significant challenges achieving environmental sustainability, with sustainable marketing emerging as a critical solution. This study aims to develop comprehensive model combining the Stimulus–Organism–Response (SOR) theory and Technology Acceptance Model (TAM) analyze mediating roles of big data applications innovation fostering practices. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on sample 319 professionals China, this examines key factors such responsibility, consumer engagement, organizational capabilities. findings reveal that responsibility engagement have positive impact practices, serving crucial mediators. research provides valuable insights for managers align technological advancements innovative approaches sustainability objectives. Future is encouraged explore other industry-specific extend different regions.

Language: Английский

Citations

0
Increasing customer service competencies of airports: virtual integration competence, warmth and intimacy of artificial intelligence services DOI
Edward C.S. Ku

Business Process Management Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Purpose Airports are an essential part of the airline value chains. Artificial intelligence (AI) technologies widely used at airports; study aims to explore how virtual integration competence and perceived warmth AI in airports increase customer service competencies satisfy their passengers. Design/methodology/approach Based on perspectives digital hybrid intelligence, a continued usage intention model was analyzed using partial least squares approach; this purposed sampling collect data from those participants who adopted Beijing, Taipei Singapore have potential use experience more than three times 384 completed questionnaires were analyzed. Findings innovations serve human tasks analytics applications as change drivers can replace legacy procedures. The research findings help point out utilizing intimacy services. Originality/value provide airports. services powerful tool for passengers efficiently; will collaborate with airlines offer

Language: Английский

Citations

2
Embracing the future of interactive marketing with contactless technology: evidence from tourism businesses DOI
Edward C.S. Ku

Journal of Research in Interactive Marketing, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Purpose This study explores how predictor variables (value congruence and customer–AI-assisted exchanges) lead tourism businesses to meet customer needs through contactless technology enhance their willingness pay more. Design/methodology/approach The research model was designed from the perspective of consumer-brand relationships acceptance AI device use. collected analyzed 647 valid questionnaires using structural equation modeling (SEM) approach. Findings findings indicate that value customer-AI-assisted exchanges (CAIX) affect intimacy. Intimacy affects satisfaction more for technological services. Moreover, brand trust sensory experience play a role in moderating Originality/value Effective interactions between customers AI-assisted services significantly contribute overall satisfaction. When systems can understand respond appropriately queries, needs, preferences, they levels, increasing with

Language: Английский

Citations

1
Deep affection: service robots increase brand love of restaurants DOI
Shu-Hua Wu

British Food Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Purpose Service robots with advanced artificial intelligence (AI) can collect data on customer preferences, understand complex requests, improve services, and tailor marketing strategies. This study examined how perceived relatedness, warmth, customer–AI-assisted exchanges (CAIX) of service affect competencies brand love through service-robot intimacy. Design/methodology/approach A model was developed based the AI device using acceptance an emotional perspective. Data were collected from customers who had dined in robot restaurants; 415 questionnaires completed, partial least squares analysis adapted to proposed model. Findings The results demonstrate that warmth CAIX intimacy restaurants. Customers feel friendly satisfied a restaurant’s will recommend it their friends. Research limitations/implications draws theory existing literature identify principal factors restaurant capabilities. Future research include capabilities adoption process as direction relationship management while also exploring influence computing supply chains. Likewise, agility stages innovation be discussed future different theories, which bridge unique insights. Practical implications findings this emphasize between propose specific practice areas for Originality/value expands main issue current traditional operations novel field humanoid It enriches our understanding consumers’ fondness affects behavioural intentions.

Language: Английский

Citations

0