Evolution and future agenda of service robot research: a computer-assisted qualitative data analysis approach DOI
Sha Yang, Kwangsoo Park, Minwoo Lee

и другие.

Industrial Management & Data Systems, Год журнала: 2025, Номер unknown

Опубликована: Май 6, 2025

Purpose Given the rapid proliferation of service robots in hospitality and tourism industry increasing complexity stakeholder interactions, this study aims to systematically analyze perspectives interactions robot implementation studies. Design/methodology/approach The review analyses 175 articles published between 2019 2023 Hospitality Tourism Management (HTM) Business (BM) journals, combining industry-specific insights broader business contexts examine theoretical development. employs Computer-Assisted Qualitative Data Analysis (CAQDA) research trends developments. Findings Our analysis highlights three main points. First, has evolved from technological more meaningful human-robot interaction dynamics, emphasizing psychological aspects, social responses, relationship building environments. Second, limited on stakeholders' viewpoints organizational impacts suggests a need for comprehensive Third, HTM BM journals exhibit different focus areas, focuses primarily operational applications, customer experience, efficiency. In contrast, emphasize development, strategic implications, transformation. Originality/value This maps knowledge structures across within contexts. makes dual contributions. Theoretically, it reveals current landscape guides future directions. Practically, provides valuable practitioners, including managers implementing robots, engineers designing functionalities, designers developing interfaces by offering evidence-based strategies.

Язык: Английский

A Roadmap for Integrating Automation with Process Optimization for AI-powered Digital Transformation DOI Open Access
Abdulaziz Aldoseri,

Khalifa N. Al‐Khalifa,

A.M.S. Hamouda

и другие.

Опубликована: Окт. 17, 2023

The integration of automation and process optimization within the context AI-powered digital transformation has emerged as a pivotal strategy for organizations aiming to enhance efficiency, foster innovation, competitiveness. This paper is devoted present innovative contribution by providing comprehensive structured roadmap that outlines foundational principles necessary successful optimizing processes con-text emerging AI technologies. introduce cohesive framework consisting es-sential key pillars: Data-Driven Insights, Seamless Automation, Adaptive Learning Contin-uous Improvement, Human-Centric Collaboration, Ethical Responsible AI, Strategic Align-ment, Scalability, Innovation. These pillars function guiding navigate in-tricate landscape automation-driven initiatives transformation. By embracing these pillars, can embark on transformative journey maximizes potential automation, fosters positions them leaders in ever-evolving AI-driven business operations.

Язык: Английский

Процитировано

64

The dark side of artificial intelligence in higher education DOI Open Access
Stanislav Ivanov

Service Industries Journal, Год журнала: 2023, Номер 43(15-16), С. 1055 - 1082

Опубликована: Сен. 27, 2023

The paper focuses on the negative aspects of artificial intelligence in higher education such as biases datasets and algorithms, plagiarism, factual incorrectness, micromanagement students employees, manipulation behaviour, überveillance, overreliance AI, lack or low explainability transparency AI's decisions, loss skills, privacy concerns. adopts an operations management perspective discusses AI various processes institutions enrolment students, hiring teaching/learning/assessment, administrative activities, research, socialisation well-being remuneration, appraisal wellbeing employees. Special attention is paid to impacts ethics, creativity critical thinking. Potential solutions avoid mitigate theoretical, managerial policy implications are discussed well.

Язык: Английский

Процитировано

56

AI concierge in the customer journey: what is it and how can it add value to the customer? DOI Creative Commons
Stephanie Q. Liu, Khadija Ali Vakeel, Nicholas Smith

и другие.

Journal of service management, Год журнала: 2024, Номер 35(6), С. 136 - 158

Опубликована: Май 2, 2024

Purpose An AI concierge is a technologically advanced, intelligent and personalized assistant that designated to an individual customer, proactively taking care of customer’s needs throughout the service journey. This article envisions idea concierges discusses how leverage in customer Design/methodology/approach takes conceptual approach draws insights from literature management, marketing, psychology, human-computer interaction ethics. Findings delineates fundamental forms concierges: dialog interface (no embodiment), virtual avatar (embodiment world), holographic projection (projection physical world) tangible robot world). Key attributes are ability exhibit semantic understanding auditory visual inputs, maintain emotional connection with demonstrate proactivity refining experience ensure omnipresence through continuous availability various attend Furthermore, explores multifaceted roles can play across pre-encounter, encounter post-encounter stages journey opportunities challenges associated concierges. Practical implications paper provides for professionals hospitality, retail, travel, healthcare on leveraging enhance experience. By broadening services, organizations deliver assistance refined services entire Originality/value first introduce concept concierge. It offers novel perspective by defining concierges’ forms, key exploring their diverse Additionally, it lays out research agenda aimed at further advancing this domain.

Язык: Английский

Процитировано

24

When robot appearance and service style interact to influence customers’ willingness to pay: The mediating role of perceived restaurant quality DOI
Stephanie Hui-Wen Chuah, Joaquim Dias Soeiro

International Journal of Hospitality Management, Год журнала: 2025, Номер 127, С. 104117 - 104117

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

3

To whom does service robot anthropomorphism appeal? The roles of customer social context, power, and perceived social connectedness DOI
Bin Wang, Yao Han, Fengyuan Xie

и другие.

Service Industries Journal, Год журнала: 2025, Номер unknown, С. 1 - 34

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

3

How can generative artificial intelligence improve digital supply chain performance in manufacturing firms? Analyzing the mediating role of innovation ambidexterity using hybrid analysis through CB-SEM and PLS-SEM DOI

Ayman wael Al-khatib,

Moh’d Anwer AL-Shboul,

Mais Khattab

и другие.

Technology in Society, Год журнала: 2024, Номер 78, С. 102676 - 102676

Опубликована: Авг. 3, 2024

Язык: Английский

Процитировано

10

Digital service innovation in B2B markets DOI Creative Commons
Christian Kowalkowski, Jochen Wirtz, Michael Ehret

и другие.

Journal of service management, Год журнала: 2023, Номер 35(2), С. 280 - 305

Опубликована: Дек. 22, 2023

Purpose Technology-enabled business-to-business (B2B) services contribute the largest share to GDP growth and are fundamental for an economy’s value creation. This article aims identify key service- digital technology-driven B2B innovation modes proposes a research agenda further exploration. Design/methodology/approach conceptual paper adopts techno-demarcation view on service innovation, encompassing three core dimensions: offering (the product, or “what”), process “how”) ecosystem “who/for whom”). It delineates implications of technologies – internet-of-things (IoT), intelligent automation (IA) platforms across these dimensions in markets. Findings Digital technology has immense potential ramifications creation by reshaping all innovation. Specifically, IoT can transform physical resources into reconfigurable products, IA augment automate rapidly expanding array processes, while provide technical organizational infrastructure integration stakeholders within ecosystems. Originality/value study suggests with six themes research, each linked one more dimensions. They (1) new recurring revenue models, (2) metaverse, (3) scaling up innovations, (4) (5) power dependency lock-in effects (6) security responsibility domains.

Язык: Английский

Процитировано

23

Customer experience quality with social robots: Does trust matter? DOI Creative Commons
Sanjit Kumar Roy, Gaganpreet Singh, Saalem Sadeque

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 198, С. 123032 - 123032

Опубликована: Ноя. 21, 2023

Although service providers increasingly adopt social robots, much remains to be learned about what influences customers' experiences with robots. To address this issue, study investigates the relationships among customer equity drivers (i.e., value equity, brand and relationship equity), trust in providers. Specifically, we hypothesize that influence robots We also propose experience quality context of mediate these relationships. The used a two-stage hybrid partial least squares structural equation modelling (PLS-SEM)-artificial neural network (ANN) analysis examine proposed Findings show while all providers, only Results suggest mediates between quality. In addition, find consumers' helps generate Theoretical managerial implications are discussed.

Язык: Английский

Процитировано

20

Can service robots recover themselves? The effect of service recovery agents and robot service failure types on customer response DOI
Yun Liu, Xingyuan Wang

International Journal of Hospitality Management, Год журнала: 2024, Номер 124, С. 103951 - 103951

Опубликована: Окт. 17, 2024

Язык: Английский

Процитировано

8

AI-driven self-service for enhanced customer experience outcomes in the banking sector DOI Creative Commons
Nkululeko PraiseGod Zungu, Hayford Amegbe, Charles Hanu

и другие.

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

1