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Heliyon
October 2024
Logistics and Supply Chain Management, School of Management, Mae Fah Luang University, Chiang Rai, Thailand.
This study examines passenger adoption of self-service check-in kiosks based on the technology acceptance model (TAM) and its extension. This study investigated the relationships between three independent variables (technology self-efficacy, need for human interaction, and perceived enjoyment) and two TAM's cognitive variables (perceived usefulness and ease of use). The analysis of these relationships is novel in aviation self-service technology research.
View Article and Find Full Text PDFBMJ Open
July 2024
Department of Primary Care and Public Health, Imperial College London, London, UK
Objective: This study utilizes a design-led simulation-optimization process (DLSO) to refine a hybrid registration model for a free-standing outpatient clinic. The goal is to assess the viability of employing DLSO for innovation support and highlight key factors influencing resource requirements.
Background: Manual registration in healthcare causes delays, impacting patient services and resource allocation.
Heliyon
December 2019
Faculty of Hotel and Tourism Management, Universiti Teknologi MARA, Malaysia.
Purpose: The purpose of this paper is to examine the factors influencing passenger adoption and behaviour of self-service technology (SST) in airports. This study adopted the Theory Acceptance Model (TAM) and extended the model by including the need for human interaction (NI) construct in the study framework.
Design/methodology/approach: The research framework is based on the theoretical concepts of SST usage from the inter-disciplinary field.
Health Mark Q
June 2017
b Department of Marketing , Rouen Business School, Mont-Saint-Aignan Cedex , France.
From retail health clinics and online appointment scheduling to (mobile) kiosks that enable patient check-in and automate the collection of copays and open balances, convenience has become an important topic in the health care sector over the last few years. While service convenience has also gained much interest in academia, one common limitation is that authors have adopted a "goods-centered" perspective focusing primarily on retail settings. Results of this exploratory study reveal that health care service convenience encompasses seven different dimensions: decision, access, scheduling, registration and check-in, transaction, care delivery, and postconsultation convenience.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!