Self-service Technology Preference During Hotel Service Delivery: A Comparison of Hoteliers and Customers

2019 ◽  
pp. 267-279
Author(s):  
Chun Liu ◽  
Kam Hung
Keyword(s):  
Service Delivery ◽  
Hotel Service ◽  
Self Service ◽  
Self Service Technology

scholarly journals Self-service versus human interaction in private consumption: The moderating role of brand personality

2022 ◽  
Author(s):  
Seojin Stacey Lee ◽  
Kiwan Park ◽  
Yaeri Kim
Keyword(s):  
Service Delivery ◽  
Private Consumption ◽  
Brand Personality ◽  
Consumer Attitudes ◽  
Human Interaction ◽  
Face To Face ◽  
Banking Service ◽  
Hotel Service ◽  
Self Service ◽  
Self Service Technology

We explored how consumer attitudes toward service delivery types (self-service technology vs. face-to-face) differ in a private consumption context depending on the brand personality (underdog brand vs. top- dog brand). Using banking service (Study 1) and hotel service (Study 2) scenarios, we empirically investigated the interaction effects between service delivery types and brand personalities on consumer attitudes. The results indicate that for humanized underdog brands consumers showed a more positive attitude toward self-service technologies than toward face-to-face services. However, for the top-dog brands there were no significant moderation effects. Thus, when managers in the marketing field are planning to regulate new directions for their service policy, they need to be very cautious by considering both consumption context and brand personality. We have theoretically and practically expanded the existing literature on service delivery by focusing on private consumption services.

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.

scholarly journals A Review of the Effects of Self-Service Technologies on Firm Performance in Kenya

2021 ◽  
Vol 1 (2) ◽  
pp. 48-56
Author(s):  
Zedekia Juma Adhaya ◽  
Stephen Ochieng Odock
Keyword(s):  
Firm Performance ◽  
Service Delivery ◽  
Rural Areas ◽  
Business Environment ◽  
Empirical Literature ◽  
Research Gaps ◽  
Internal Customers ◽  
Self Service ◽  
Self Service Technology ◽  
The Impact

Self-service technology (SST) continues to create tremendous impact on the business environment globally. A technology that allows consumers to take on the traditional place of service agents in the provision of services. Business organizations are taking advantage of the advancement in technology to improve service delivery and performance. The advancement in technology particularly with respect to nanotechnology, genome sequencing and artificial intelligence are among the drivers of the 4th Industrial Revolution. Consequently, information technology advancement is changing the marketing landscape of goods and services such that service industry, notably hospitality and transport have increased the prevalence of SSTs, as critical drivers of an organization’s industrial strength level. By a firm adopting technology-based strategy, this means higher clients’ satisfaction, cost minimization, and faster accurate service delivery with higher consistency among other benefits. This paper therefore, assesses the impact of SSTs and emphasizes on actual adoption and usage of self-service as proposed by technology acceptance model. The study reviews theoretical and empirical literature on the subject of SSTs and firm performance, identifies the research gaps and puts forward a suitable conceptual framework that can investigate the link between SST and firm performance. This paper uses secondary data to establish research gaps and the determinant of the success of adoption of SST by a firm. From a total of 54 articles reviewed, almost all studies on SSTs are based on the service sector focusing least on the internal customers in Kenya. A few studies related directly to the performance of the firms to the adoption of SSTs. Agricultural and manufacturing sectors particularly in the rural areas are unexploited directly. This is due to infrastructural imbalances in the urban and rural areas. The outcome of this review would enlighten; administrators of firms in Kenya and the entire East African region on the importance of ICT infrastructure, the information resources and the strategies for optimizing electronic services to attain competitive advantage. It widens the frontiers of knowledge for the academic community in production and operation management and enhances the understanding of the customer SST interactions in different industries. It creates further valuable implications on the industrial sectors, principally to the managers who use the information in drafting service related strategies and hence become a yardstick to evaluate the present service initiatives appropriately. It allows the managers to have a basis to determine whether the massive investment in adoption of technology is justifiable. Finally, this paper contributes to the existing knowledge in self-service technology and customer satisfaction and serves as source of reference to future researchers and academicians in this field.

A study on consumer adoption of technology-facilitated services

2014 ◽  
Vol 28 (6) ◽  
pp. 471-483 ◽  
Author(s):  
Indranil Roy Chowdhury ◽  
Sanjay Patro ◽  
Pingali Venugopal ◽  
D. Israel
Keyword(s):  
Service Delivery ◽  
Conceptual Model ◽  
Service Provider ◽  
Service Encounter ◽  
Interpersonal Interactions ◽  
Consumer Adoption ◽  
Content Type ◽  
Factors Affecting ◽  
Self Service ◽  
Self Service Technology

Purpose – The aim of this paper is to study the factors affecting the customer’s “Intention to Adopt TFS” (I-TFS), and a conceptual model has been proposed, while most previous studies have focused on the study of self-service technology (SST). Interactions between customer and service provider during delivery of a service is termed as “service-encounter”. The technology that enables service delivery without customer having a face-to-face service-encounter is known as “self-service technology” (SST). Froehle and Roth described five different ways in which technology can be used in service-encounter. One of the ways, known as technology-facilitated service (TFS), requires the simultaneous existence of three entities – customer, technology and service provider – during a service-encounter. Unlike SST, in TFS customer, technology and service provider must co-exist for the completion of the service. Design/methodology/approach – The factors affecting I-TFS can be divided in two categories: human – technology interaction (H-TI) and human–human interaction (H-HI). Although, existing literature has dealt with factors related to H-T I, e.g. “ease-of-use” and “perceived-usefulness”, the author tries to draw attention to H-H I variables, e.g. “facilitating-conditions”, which are potentially significant but have remained fairly untouched. For the study, participants were drawn from a target market where a TFS was operational. A scientifically developed survey was used to collect data from 222 participants. Structural equation modelling (SEM) was used to analyze the conceptual model. Findings – The results strongly suggest that while H-T I factors are important, H-H I factors are equally critical during service delivery. H-H I factors become especially more relevant than H-T I in developing countries. Research limitations/implications – The study strongly suggests that attitude towards the human element, i.e. service provider/front-line employee is an important factor that impacts the customer’s I-TFS. In the context of emerging economies where organisations provide innovative technology services to suit the needs of the respective populations human representatives are a must to support the service. We conducted this research within one TFS context. Additional studies with more diverse TFS with other consumer groups should be conducted to provide additional support and increase the generalisation of both the research framework and findings. Practical implications – The findings of the study are useful to all those firms that are considering the implementation of other TFS such as tele-medicine or distance education programmes. By investigating the main causal variables that have an impact of adoption of TFS, we provide an actionable set of factors to help firms understand and influence TFS adoption behaviour. Originality/value – Research on factors affecting adoption of services has traditionally focused either on interpersonal interactions between customers and service providers (H-HI) or non-interpersonal interactions of customer with technology (H-TI). However, very few have studied dimensions of H-HI and H-TI together to understand their impact on customer’s adoption of a service. Considering the need for more research, this study examines the relationships between H-HI, H-TI and their simultaneous impact on consumer adoption of services.

CONSUMER ACCEPTANCE OF SELF-SERVICE TECHNOLOGY IN FASHION RETAIL STORES

2019 ◽  
Vol 2019 ◽  
pp. 440-440
Author(s):  
Jee-Sun Park ◽  
◽  
Sejin Ha ◽  
So Won Jeong
Keyword(s):  
Consumer Acceptance ◽  
Retail Stores ◽  
Fashion Retail ◽  
Self Service ◽  
Self Service Technology
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