Construction and empirical research on acceptance model of service robots applied in hotel industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lina Zhong ◽  
Xiaoya Zhang ◽  
Jia Rong ◽  
Hing Kai Chan ◽  
Jinyu Xiao ◽  
...  

PurposeRobots, as the crystallization of new artificial intelligence, are being applied in various fields, especially the hotel industry. They are seizing the opportunities, using technology to improve the overall quality and comprehensive competitiveness. However, they also cause many problems due to practical limitations. The purpose of this paper is to study customers' recognition and acceptance of hotel service robots to guide the successful promotion of this technology.Design/methodology/approachThis paper proposed a comprehensive model based on the theory of planned behavior, the technology acceptance model and then the perceived value-based acceptance model. Exploratory factor analysis, confirmatory factor analysis, grouped regression analysis and path analysis was adopted to validate the impacts of each variable to obtain the final reliable model using data collected from hotel guests using a self-designed questionnaire.FindingsThe empirical research based on the theoretical model shows that the constructed conceptual model can thoroughly explain the influencing factors of hotel robot acceptance, enrich the acceptance theory and provide academic support for the use and popularization of hotel service robots. Among all variables, attitude, usefulness and perceived value are the factors that have the greatest impact on acceptance. They have significant differences in the effects of adjustment variables such as gender, educational level, whether hotel robots have been used, and whether other robot services have been experienced on different paths in the model.Practical implicationsThis paper explored the customer acceptance of service robots in hotels, helped to understand the process of decision-making on service robot selection and contributed to the theoretical extension of the hospitality industry. The work guides hotel management to promote better-personalized products and services of robot technology in the hospitality industries.Originality/valueThe acceptance study on hotel service robots provides insight into the hotel industry to understand customers' attitudes and acceptance of emerging technology.

2014 ◽  
Vol 5 (1) ◽  
pp. 78-94 ◽  
Author(s):  
Wenyue Wendy Zhu ◽  
Cristian Morosan

Purpose – Interactive mobile technologies (IMT) offered to hotel guests during their stay represent an interesting development in consumer technologies in the hotel industry. Such technologies are designed to facilitate transactions and enhance the quality of guest experience. This research explains how hotel guests develop attitudes and intentions to use IMT in hotels. The paper aims to discuss these issues. Design/methodology/approach – Using data from students enrolled in a large hospitality program located in the Southwestern USA, the study validates a variant of the technology acceptance model, extended with constructs such as cognitive absorption and security that capture better the context of IMT in hotels. Findings – The conceptual model explained a large part of variability in intentions to use IMT. Among several predictors, cognitive absorption was the stronger predictor of attitudes. The analysis also revealed the dimensions of cognitive absorption as a second-order factor in the context of mobile commerce in the hotel industry. Research limitations/implications – This research offers a number of notable theoretical contributions. First, it provides an unique perspective on adoption of immersive technologies that enhance the experiential value of the hotel stay. Second, it revisits and validates the multidimensional construct of cognitive absorption. Finally, it ascertains the roles of cognitive absorption, playfulness, and security in the adoption of IMT. Practical implications – This research provides specific suggestions to integrate IMT in hotels based on system characteristics and users’ perceptions. Originality/value – To date, the research examining the immersive aspects of technology is scant. This research provides a novel platform for the systematic examination of the adoption of immersive technologies as they mediate the experiences in hotel service settings.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.


2020 ◽  
Vol 32 (8) ◽  
pp. 2613-2633 ◽  
Author(s):  
Hyejo Hailey Shin ◽  
Miyoung Jeong

Purpose The hotel industry has witnessed an increasing number of service automation through service robots such as robot concierges. However, few studies have documented how to identify how hotel guests perceive a robot concierge for their service encounter. Therefore, the purpose of this study is to examine the effects of robot concierges on hotel guests’ attitudes and adoption intentions of robot concierges. Design/methodology/approach This study investigated the effects of robot concierges’ morphology and their level of interactivity with guests at different levels of hotel service on guests’ attitudes and their intentions to adopt robot concierges. To achieve the study’s objectives, this study conducted a 3 × 2 × 3 between-subjects factorial design experiment. Moreover, the survey asked questions about subjects’ preferences of their service encounters (e.g. human employees, robot concierges and/or no preference) and reasons for their selected preference. Findings The results demonstrated that the robot’s morphology significantly influenced guests’ attitudes toward robot concierges. In particular, the caricatured robot was the most preferred morphology of robot concierges. The findings showed that even if guests had favorable attitudes toward robot concierges, they preferred human employees to robot concierges because of humans’ sincere and genuine interactions. Originality/value This study contributes to the literature by investigating the causal impacts of the morphology of robot concierges, level of interactivity and level of hotel service on guests’ attitudes toward robot concierges. The thematic analysis of service encounter preference provides an overview of the factors that guests expect for their service encounters in a hotel setting.


2019 ◽  
Vol 33 (2) ◽  
pp. 285-308 ◽  
Author(s):  
Yonathan Dri Handarkho ◽  
Yulius Harjoseputro

Purpose The purpose of this paper is to develop a theoretical model based on Push–Pull–Mooring (PPM) framework consisting of direct, indirect and moderating effects, derived from technology acceptance model, unified theory of acceptance and use of technology and other extended theory, to address the main factor influencing an individual in adopting mobile payment (MP) in physical stores. The research, therefore, utilized individual switching behavior as an underpinning to explain MP adoption in an offline context. Design/methodology/approach The theoretical model was tested by collecting data from 459 respondents in Indonesia through online self-administered questionnaires. Findings The finding indicated consumer innovativeness has the most influential direct effect on MP adoption, followed by deal proneness, perceived convenience and perceived herd behavior. Meanwhile, perceived enjoyment and subjective norms were found to have an indirect effect on the adaptation of MP through mediator convenience. Furthermore, age, gender, occupation and income did not have any moderating effect for all the direct influence of MP adoption. Originality/value Previous literature only focused on direct intention. However, this study observed the adoption of MP in a physical store by involving the switching behavior. It specifically puts concern and objective as the factors that influence user intention to switch from their old payment system to the MP system in bricks and mortar store using PPM framework.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro Lo Presti ◽  
Assunta De Rosa ◽  
Enrico Viceconte

Purpose Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator. Design/methodology/approach A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping. Findings The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed. Originality/value Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Bastan ◽  
Masoumeh Zarei ◽  
Reza Tavakkoli-Moghaddam ◽  
Hamed Shakouri G.

Purpose The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have always highlighted the use of modern technological methods of construction to improve quality and productivity and reduce time and cost. One of these technologies is the so-called building information modeling (BIM), which has been very difficult to adopt and implement in Iran. The purpose of this study is to propose a systemic and holistic model to analyze the dynamics of adoption and implementation of BIM in this country. The purpose of this paper is to understand the dynamics of BIM acceptance to identify the most effective policy to maximize it in the Iranian manufacturing industry. Design/methodology/approach A two-stage methodology has been developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system methodology to extract a dynamic model from the conceptual one. This dynamic model can simulate different policies and may be used to evaluate their respective effectiveness. Findings In this study, using the GT method, we obtained 510 primary codes, 118 secondary codes, 50 concepts and 17 categories. After determining the relationships between categories through axial coding, we reached a conceptual model based on selective coding. Mention some of the variables of the conceptual model. Awareness, security, perceived usefulness and perceived ease of use are some of the most important variables of this model. In the next part, this conceptual model was run using system dynamics and, thus, turned into a causal model in which all the effective variables on BIM technology and their relationships with each other are specified. The stock and flow diagram of the problem and its related equations were presented. To improve the model and solve the problem, we examined the four policies as four future scenarios on the model: continuing the status quo, development of specialist workforce training, bolstering governmental support and increasing awareness via advertisement within. The simulation results showed that government support is the most effective policy for maximizing BIM acceptance in Iran. Practical implications In addition to enumerating all the factors affecting BIM technology, this paper proposes a systemic model that provides an accurate and comprehensive view of the acceptance of this technology. In this regard, by introducing feedback loops, as well as reinforcing and balancing factors versus factors causing stasis, the model offers a much deeper insight into mechanisms associated with BIM development and its barriers. Therefore, this study provides a very useful perspective and basis for policy-makers and all stakeholders to accept and implement BIM technology. The findings of this study can lead to more accurate policy-making, removal of acceptance barriers, promotion of incentives, and consequently more effective acceptance of BIM technology. Originality/value In this study, a new mixed research method was used. The innovation of our study lies in its simultaneous use of GT method to construct an accurate and holistic model and applying the system dynamics methodology to build a holistic and systemic model of the BIM acceptance problem. This research also provides a suitable standard and tool for studying BIM technology in developing countries.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siti Nurdiyana Atikah Sulaiman ◽  
Mohammad Nabil Almunawar

Purpose The purpose of this paper is to investigate factors that influence customers’ adoption of biometric-based point-of-sale in Brunei. Design/methodology/approach This paper extends technology acceptance model constructs with trust and some other variables as the framework to investigate their influence on the attitude toward the usage of a biometric point-of-sale terminal for payments in Brunei. Nine variables may influence user’s perception toward usage. The nine variables are needed, perceived ease of use, perceived usefulness, experience, innovativeness, privacy, security, trust and attitude toward usage. Multiple regression analysis was conducted to test hypotheses related to these nine variables. Findings It is found that the innovativeness of an individual and similar experience corresponds toward trust, which is positively related to attitude toward usage. Perceived usefulness and trust have significantly influenced the intention of individuals to use biometrics as an authentication method for payment. Research limitations/implications The nature of this research is to gather the public’s opinion and perception as much as it is deemed possible to get a bigger and clearer picture of the study. As the target respondence is citizens and residents of Brunei without any specification or exclusion, a large response would be needed to have a more reliable and accurate result. However, only 205 respondents can be gathered in this study. Had there been a longer time frame, it would be best to gather a lot more responses. Originality/value This paper explores the adoption of biometric authentication in large-scale point-of-terminals. It identifies factors that influence adoption. The results of this study could assist future researchers in which direction to take to further explore biometric as an authentication method for payment. In addition to this, it could also provide banks and financial technology in Brunei a clearer picture of the Brunei market and Bruneians perspective on the biometric system.


2015 ◽  
Vol 6 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Hart O. Awa ◽  
Ojiabo Ukoha Ojiabo ◽  
Bartholomew Chinweuba Emecheta

Purpose – This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs. Design/methodology/approach – The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system. Findings – The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption. Research limitations/implications – Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically. Originality/value – The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.


2015 ◽  
pp. 1684-1697
Author(s):  
Serdar Yarlıkaş ◽  
İbrahim Arpacı ◽  
Gülgün Afacan

This chapter identifies user satisfaction levels of eGovernment services. Technology Acceptance Model (TAM) deals with the prediction of the acceptability of an information system. TAM posits that perceived usefulness and perceived ease of use determine an individual's adoption of a system with intention to use serving as a mediator of actual system usage. In this chapter, a modified version of the TAM is proposed to predict the acceptability of eGovernment services and to identify the modifications, which must be brought to the system in order to make it acceptable to users. In the chapter, one of the most used eGovernment projects, e-school, is investigated according to TAM. An Internet-based survey questionnaire was applied to identify factors that influence users' satisfaction from one of the eGovernment services in Turkey. The sample was 30 teachers, who are working in public and private schools. A factor analysis was conducted on the questionnaire items, and a regression analysis, dependent on the factor analysis, was performed to determine and evaluate the effects of the factors on user satisfaction. The authors found that five main factors have significant affect on the satisfaction of users related to the e-School system. These factors are utilitarian ease of use, system usefulness, system content, system usability, and ease of use. The authors contributed to existing literature by adding a new construct, which refers to utilitarian ease of use.


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