Consumer acceptance of self-service technologies in fashion retail stores

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jee-Sun Park ◽  
Sejin Ha ◽  
So Won Jeong
Keyword(s):  
Structural Equation ◽  
Individual Characteristics ◽  
Consumer Acceptance ◽  
Equation Modeling ◽  
Web Based ◽  
Content Type ◽  
Willingness To Adopt ◽  
Fashion Retail ◽  
Self Service ◽  
Self Service Technology

PurposeThe purpose of this study was to update the fashion retail literature with an investigation of consumers' perceptions of in-store self-service technology (SST) and their willingness to adopt SST for fashion purchases. Specifically, this study examined the relationships between technology readiness (TR), individual characteristics and the perceived pragmatic and hedonic qualities of SST.Design/methodology/approachA web-based survey was distributed to Korean consumers who had experience with in-store technologies. A two-step analysis including confirmatory factor analysis and structural equation modeling was applied.FindingsBoth pragmatic and hedonic perceptions had significant impacts on acceptance of SST for fashion shopping. As for the roles of TR, innovativeness and optimism inherent in TR enhanced consumer perceptions of SST, while discomfort and insecurity did not.Originality/valueThis study extends the knowledge of consumer acceptance of SSTs in fashion retail by highlighting the need to consider hedonic qualities and examining the different roles of each TR dimension for a full understanding of SST acceptance.

Understanding the differences of public and private self-service technology

2014 ◽  
Vol 28 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Joel E. Collier ◽  
Daniel L. Sherrell ◽  
Emin Babakus ◽  
Alisha Blakeney Horky
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Public And Private ◽  
Content Type ◽  
Private And Public ◽  
Self Service ◽  
Self Service Technology ◽  
Individual Self ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the potential differences between types of self-service technology. Specifically, the paper explores how the dynamics of public and private self-service technology influence customers' decision to use the technology. Design/methodology/approach – Existing customers of private and public self-service technology were surveyed from the same industry. Using structural equation modeling, the authors examine how relevant self-service constructs influence evaluations and attitudes of customers across both settings. Findings – The analysis reveals that customers' control and convenience perceptions differ across public and private self-service technology. Additionally, customers placed a heavier emphasis on the hedonic or utilitarian evaluation of a service experience based on the type of self-service technology. Practical implications – For managers of self-service applications, understanding the unique differences of public and private self-service technology can aid in the implementation and adoption of the technology. By properly understanding the differences of the self-service types, managers can provide a beneficial experience to the customer. Originality/value – By identifying and describing two distinct categories of SSTs, this study allows managers and researchers to better understand how and why individuals choose to utilize individual self-service technologies. Through understanding the unique dynamics of a public and a private SST experience, retailers can determine the appropriate strategy for customer adoption based on the utilitarian or hedonic functions of the technology.

Modeling the contingent role of technological optimism on customer satisfaction with self-service technologies

2020 ◽  
Vol 33 (3) ◽  
pp. 559-578
Author(s):  
Abdul Kadir Othman ◽  
Muhammad Iskandar Hamzah ◽  
Lailatul Faizah Abu Hassan
Keyword(s):  
Customer Satisfaction ◽  
User Satisfaction ◽  
Structural Equation ◽  
Theoretical Development ◽  
Equation Modeling ◽  
Content Type ◽  
Five Dimensions ◽  
Customer Group ◽  
Self Service ◽  
Self Service Technology

PurposeBased on the E-Service Quality (E-SQ) model, this study investigates the effects of self-service technology (SST) quality attributes, specifically automated teller machines (ATMs), on customer satisfaction. The interaction effects of technological optimism on the abovementioned link are also examined. SST usage is conceptualized as a multidimensional construct that consists of five dimensions (reliability, security, convenience, functionality and responsiveness).Design/methodology/approachThe data were collected through a survey of a sample of Malaysian participants who used cash-recycling ATMs. The proposed theoretical model was tested using partial least squares (PLS) structural equation modeling (SEM).FindingsThe results suggest that reliability, convenience, and functionality are critical factors that affect customer satisfaction in using ATMs. Technological optimism was found to weaken the relationship between reliability and customer satisfaction.Practical implicationsConsidering the relative novelty of cash-recycling ATMs in the market, banks should ensure a smooth, error-free and accessible functioning of the system. Special attention has to be given to tech-savvy consumers whose higher level of optimism, with an increase of perceptions of reliability, may suppress their heighten sense of fulfillment. This customer group could be offered interactive digital engagement through mobile applications and social networking channels.Originality/valueThe E-SQ model is a helpful tool to understand the reasons underlying user satisfaction with cash-recycling ATMs. The results also contribute to the theoretical development of the E-SQ model through the integration of technological optimism as a contingent factor.

scholarly journals Understanding the Attitudes and Purpose for the Usage of Self-service Technologies (SSTs) at the Airports

2019 ◽  
Vol 8 (3) ◽  
pp. 7034-7039
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Web Based ◽  
Endogenous Variables ◽  
Managerial Implications ◽  
Self Service ◽  
Self Service Technology

This study tried to understand the intention of technology adoption for web-based self-service technology (SST) pertaining to the airline sector in India. A survey-based approach was employed to acquire 458 responses. These responses were obtained from passengers who were using the airline’s service. The passengers were from three international airports that are located in Chennai, Hyderabad, and Bangalore. The partial least square structural equation modeling technique was employed to investigate the hypothesis. To recognize the influences on web-based SST(endogenous variables), along with the concept of adoption purpose as per the air passengers’ perceptions, the initial qualitative study joined the resultant literature examination in correspondence with the interview with focus groups. The following are the exogenous factors applied in the study; apparent usefulness: apparent ease of usage, trustworthiness, perceived risk, supposed behavioral regulator, subjective standard, word-of-mouth reports, apparent playfulness, and approach and adaptation purpose. Results specify factors that suggestively affect the intention to employ SSTs. Theoretical as well as managerial implications are deliberated on.

Investigating onsite restaurant interactive self-service technology (ORISST) use: customer expectations and intentions

2020 ◽  
Vol 32 (10) ◽  
pp. 3335-3360
Author(s):  
Yang Xu ◽  
EunHa Jeong ◽  
Ahmed E. Baiomy ◽  
Xiaolong Shao
Keyword(s):  
Structural Equation ◽  
Moderated Mediation ◽  
Likelihood Method ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Proposed Model ◽  
Self Service ◽  
Self Service Technology ◽  
Quick Service

Purpose This study aims to investigate consumers’ intention to use onsite restaurant interactive self-service technology (ORISST) using a modified value attitude-behavior model. To extend the understanding of how consumers’ dining value focus could influence their intention to use ORISST, this study examines the conditional indirect effects of restaurant type (quick-service vs fine-dining) within the proposed model. Design/methodology/approach An online survey was developed and distributed to randomly selected respondents in the USA. A total of 588 (quick-service: 295; fine-dining: 293) responses were used for the data analysis. Structural equation modeling with a robust maximum likelihood method was used to examine the proposed model. To investigate the moderated effects of restaurant type, a latent moderated mediation model was used. Findings The results showed that consumers’ value perceptions toward technology use in restaurants influenced their intention to use ORISST via both hedonic and utilitarian expectations. Latent moderated mediation analyzes revealed that the mediation effect of hedonic expectation between perceived value and the intention was stronger in fine-dining than in quick-service restaurants. Originality/value This study extends the understanding of consumer intentions to use interactive self-service technology in restaurants by building on a model that is customer-oriented instead of tech-specific. Furthermore, the conditional effects of restaurant type are investigated using the latent moderated structural equation method. The findings of this study provide guidelines for managers of quick-service and fine-dining restaurants to better incorporate ORISST in their restaurants, to boost customer experiences and to increase operational efficiency.

Investigating factors affecting the acceptance of self-service technology in libraries

2015 ◽  
Vol 33 (1) ◽  
pp. 114-133 ◽  
Author(s):  
Chun-Hua Hsiao ◽  
Kai-Yu Tang
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Survey Methodology ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Individual Factors ◽  
Research Model ◽  
Content Type ◽  
Self Service ◽  
Self Service Technology

Purpose – The self-service technology (SST) launched outside libraries has received great attention in Taiwan. This automatic book stop (ABS), FastBook, has raised some interesting issues regarding users’ behavior in the library context. The purpose of this paper is: first, to assess critical variables that contribute to users’ acceptance of SST in the library context; second, to propose an integrated SST acceptance model in terms of technological and individual factors; and third, to further examine the gender differences among all the theoretical relationships proposed in this research model. Design/methodology/approach – Based on a sound theoretical foundation, the authors proposed a research model to investigate users’ intention to adopt FastBook, including both technological and individual factors. The survey methodology and structural equation modeling were used in this study. Findings – The proposed model successfully accounted for about 92 percent of the total variance explained in attitude and 45 percent in behavioral intention (BI). Individuals’ attitudes toward FastBook had a significant impact on their usage intention. All three technological characteristics (perceived ease of use, usefulness, and reachability) and one individual trait (self-efficacy) were confirmed as critical determinants of attitude. Note that the effect of self-efficacy on attitude was much stronger for male than for female users. Originality/value – The SST launched outside libraries has received great popularity and extended the library service to readers in Taiwan. This research connected actual users’ experience and the SST literature to provide a conceptual understanding of FastBook adopting process.

How can hotel smartphone apps enhance hotel guest experiences? An integrated model of experiential value

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hyeongmin Kim ◽  
Chang Huh ◽  
Chanho Song ◽  
Myong Jae Lee
Keyword(s):  
Structural Equation ◽  
Integrated Model ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Communication Tool ◽  
Time Saving ◽  
Web Based ◽  
Content Type ◽  
Affective Evaluation ◽  
Experiential Value

Purpose The purpose of this study was to investigate relationships among the experiential value of hotel apps, the cognitive and affective evaluation of hotel apps users, hotel apps users’ satisfaction and their endorsement for the hotel apps. Specifically, this study examined the relationships that enhance hotel guests’ experiences through hotel apps. Design/methodology/approach The measurement items were developed through extensive literature review. This study used a web-based survey to test an integrated model of the experiential value. With a total of 320 usable samples, partial least squares structural equation modeling was carried out to identify key “driver” constructs and validate the proposed model. Findings A significant relationship was found in the playfulness of hotel apps and hotel guests’ cognitive and affective evaluations of the hotel apps, which positively influence hotel guests’ satisfaction and their endorsement for the hotel apps. Hotel apps should create fun and entertainment features in the hotel apps so that the users of hotel apps can be enjoyable during their usage. In addition, providing hotel apps users with time saving and easy use of the hotel apps can affect their satisfaction and endorsement for the hotel apps. Originality/value This study confirmed the positive links among hotel apps users’ experiential value, their cognitive and affective evaluation of the hotel apps, their satisfaction of using the hotel apps and their endorsement for the hotel apps. This study also revealed that hotel apps can be hotels’ effective communication tool that enhances existing and potential customers’ overall experiences.

Enhancing the value co-creation process: artificial intelligence and mobile banking service platforms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elizabeth H. Manser Payne ◽  
James Peltier ◽  
Victor A. Barger
Keyword(s):  
Artificial Intelligence ◽  
Service Delivery ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Content Type ◽  
Creation Process ◽  
Age Cohorts ◽  
Value Propositions ◽  
Self Service ◽  
Self Service Technology

Purpose The purpose of this study is to investigate the relationships that influence the value co-creation process and lead to consumer comfort with artificial intelligence (AI) and mobile banking (AIMB) service platforms. Design/methodology/approach A conceptual model was developed to investigate the value-in-use perceptions of AI-based mobile banking applications via five antecedents: baseline perceptions of current bank service delivery; service delivery configuration benefits; general data security; safety perceptions of specific mobile banking services; and perceptions of AI service delivery. Data were collected from 218 respondents and analyzed using structural equation modeling. Findings This study highlights the role and importance of the sequential relationships that impact the assessment of AIMB. The findings suggest that service delivery and the customer’s role in value co-creation change as AI is introduced into a digital self-service technology channel. Furthermore, AIMB offers transaction-oriented (utilitarian) value propositions more so than relationship-oriented (hedonic) value propositions. Research limitations/implications The sample consisted on digital natives. Additional age cohorts are needed. Practical implications As financial institutions redirect their business models toward digital self-service technology channels, the need for customers to feel comfortable while interacting with an AI agent will be critical for enhancing the customer experience and firm performance. Originality/value The authors extend the service-dominant logic (SDL) literature by showing that value co-creation is a function of both firms’ technologies and consumers’ value-in-use, a finding that appears to be unique in the literature. The authors advance the digital transformation literature by evaluating AIMB as an interactive process that requires an understanding of key technology constructs, including perceptions of baseline service relationships, desired service configurations, security and safety issues and whether AI is useful for value co-creation. To the best of the authors’ knowledge, this is the first SDL framework that investigates interactive and structural relationships to explain value-in-use perceptions of AIMB.

Sport content and virtual reality technology acceptance

2019 ◽  
Vol 10 (1) ◽  
pp. 83-103
Author(s):  
Reinhard E. Kunz ◽  
James P. Santomier
Keyword(s):  
Virtual Reality ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Influencing Factors ◽  
Structural Equation ◽  
Consumer Acceptance ◽  
Equation Modeling ◽  
Content Type ◽  
Content Quality ◽  
Use Of Technology

PurposeNotwithstanding the dynamics of digital transformation and its relevance for revenue generation in the entertainment industry, empirical research that focused on consumer behavior at the intersection of sport content and media technology acceptance is limited. Virtual reality (VR) is a re-emerging and nowadays commercially available technology that impacts sport consumed through media. The purpose of this paper is to investigate the consumer acceptance of VR technology and highlight the effects of content quality and flow experience as influencing factors of behavioral intention.Design/methodology/approachBased on a literature review, the authors constructed and empirically tested a model that extends the unified theory of acceptance and use of technology (UTAUT2) by considering additional antecedent factors. Participants (N=570) in the empirical study viewed sport content via VR technology (Sport VR) and completed a survey before and after viewing. The authors conducted factor analysis and structural equation modeling.FindingsThree UTAUT2 influencing factors, i.e., performance expectancy, social influence and hedonic motivation, showed significant effects. Furthermore, flow and content quality had positive indirect effects. Thus, the quality of sport content and the state of flow that users experience when immersed in a VR environment are relevant factors that determine the performance expectations of consumers and their Sport VR usage intention.Originality/valueThis empirical study contributes to knowledge on consumer acceptance of a hedonic technology in a sport media context. Moreover, two factors extended the established UTAUT2 model.

Personality determinants of need for interaction with a retail employee and its impact on self-service technology (SST) usage intentions

2017 ◽  
Vol 11 (3) ◽  
pp. 214-231 ◽  
Author(s):  
Hyun-Joo Lee
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Thinking Style ◽  
Content Type ◽  
Positive Effects ◽  
Negative Effect ◽  
Experiential Thinking ◽  
Low Levels ◽  
Self Service

Purpose The purpose of this study was, first, to link interpersonal-hedonic values, intuitive-experiential thinking style, external locus of control (LOC) and sociability to the need for interaction with a retail employee; and, second, to empirically test the moderating effect of the time convenience of self-service technologies (SSTs) on the proposed relationships in the model. Design/methodology/approach This study was conducted in a retail setting in which an automated checkout process occurred with the use of self-checkout systems. A self-administered, online survey approach was utilized targeting consumer panel members. Data were analyzed using structural equation modeling. Findings Interpersonal-hedonic values, external LOC and sociability emerged as reliable antecedents of the need for interaction with a retail employee, whereas the intuitive-experiential thinking style did not. This study also showed the inverse relationship between the need for interaction with a retail employee and the intentions to use SSTs. In relation to the moderating role of the time convenience of SSTs, the positive effects of interpersonal-hedonic values, intuitive-experiential thinking style, external LOC and sociability on the need for interaction with a retail employee were shown lesser for consumers with low levels of the time convenience of SSTs. The negative effect of the need for interaction with a retail employee on the intentions to use SSTs was shown to be greater for consumers with low levels of the time convenience of SSTs. Originality/value The present study adds to a growing body of literature on SSTs by exploring the causal and hierarchical effects of personality traits that determine the intentions to use SSTs.

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