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Explaining the willingness of consumers to bring their own reusable coffee cups under the condition of monetary incentivesJournal of Retailing and Consumer Services
Jun-Jie Hew, Lai-Ying Leong, G. Tan, Voon‐Hsien Lee, K. Ooi (2018)
Mobile social tourism shopping: A dual-stage analysis of a multi-mediation modelTourism Management
D. Stoyanov (2021)
The role of vending channels in marketing: A systematic review and taxonomy of studiesJournal of Consumer Affairs
Young Kim, Jung-sook Park, Hyeon-Mo Jeon (2021)
Experiential Value, Satisfaction, Brand Love, and Brand Loyalty toward Robot Barista Coffee Shop: The Moderating Effect of GenerationSustainability
Fatema Kawaf, S. Tagg (2012)
Online shopping environments in fashion shopping: an S-O-R based reviewThe Marketing Review, 12
Sourabh Arora, Rashmi Parida, S. Sahney (2020)
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Hung-Che Wu, S. Chen, Ya-Yuan Chang (2022)
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Clare D'souza (2022)
Game meats: Consumption values, theory of planned behaviour, and the moderating role of food neophobia/neophiliac behaviourJournal of Retailing and Consumer Services
D. Stoyanov (2021)
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Lishan Xie, Canmian Liu, Dongmei Li (2022)
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Brave new world: service robots in the frontlineJournal of Service Management
Yan Zhou, Siyu Wang (2017)
Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction
W. Lee, Joonho Moon, Myungkeun Song (2018)
Attributes of the coffee shop business related to customer satisfactionJournal of Foodservice Business Research, 21
N. Richter, Sandra Schubring, S. Hauff, C. Ringle, M. Sarstedt (2020)
When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCAInd. Manag. Data Syst., 120
Yuqing Liu, J. Henseler, Yide Liu (2022)
What makes tourists adopt smart hospitality? An inquiry beyond the technology acceptance modelDigital Business
Antonio Solano, N. Duro, R. Dormido, P. González (2017)
Smart vending machines in the era of internet of thingsFuture Gener. Comput. Syst., 76
H. Hwang, G. Cho, H. Choo (2023b)
GSCA Pro version 1.2.1
Takeshi Morita, Naho Kashiwagi, Ayanori Yorozu, Hideo Suzuki, Takahira Yamaguchi (2019)
Evaluation of a Multi-robot Cafe Based on Service Quality DimensionsThe Review of Socionetwork Strategies, 14
(2023)
In 2022, Tao Bin has 4,942 machines, increased 805% but average sales per machine decreased
S. Noble, Martin Mende (2023)
The future of artificial intelligence and robotics in the retail and service sector: Sketching the field of consumer-robot-experiencesJournal of the Academy of Marketing Science
K. Berezina, O. Ciftci, C. Cobanoglu (2019)
Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality
D. Stoyanov (2022)
Is the whole greater than the sum of its parts? A vending retail studyInternational Journal of Retail & Distribution Management
S. Benoit, Birgit Altrichter, Dhruv Grewal, C. Ahlbom (2024)
Autonomous stores: How levels of in-store automation affect store patronageJournal of Retailing
Jinsoo Hwang, J. Choe, H. Kim, J. Kim (2021)
Human baristas and robot baristas: How does brand experience affect brand satisfaction, brand attitude, brand attachment, and brand loyalty?International Journal of Hospitality Management, 99
J. Henseler, C. Ringle, M. Sarstedt (2015)
A new criterion for assessing discriminant validity in variance-based structural equation modelingJournal of the Academy of Marketing Science, 43
I. Gil‐Saura, M. Ruiz-Molina, Antonio Marín-García, Géraldine Michel (2023)
Sustainability-oriented commerce innovation: How does it influence consumer satisfaction?International Journal of Retail & Distribution Management
Stefan Wolpert, Angela Roth (2020)
Development of a classification framework for technology based retail services: a retailers’ perspectiveThe International Review of Retail, Distribution and Consumer Research, 30
Seon Kim, Se-Ran Yoo, Hyeon-Mo Jeon (2021)
The role of experiential value, novelty, and satisfaction in robot barista coffee shop in South Korea: COVID-19 crisis and beyondService Business, 16
S. Hauff, M. Guerci, J. Dul, Henk Rhee (2019)
Exploring necessary conditions in HRM research: Fundamental issues and methodological implicationsHuman Resource Management Journal
Heesup Han, H. Nguyen, HakJun Song, Bee‐Lia Chua, Sanghyeop Lee, Wansoo Kim (2018)
Drivers of brand loyalty in the chain coffee shop industryInternational Journal of Hospitality Management
J. Dul (2015)
Necessary Condition Analysis (NCA)Organizational Research Methods, 19
Jinsoo Hwang, J. Choe, H. Kim, J. Kim (2021)
The antecedents and consequences of memorable brand experience: Human baristas versus robot baristasJournal of Hospitality and Tourism Management, 48
Po-Tsang Chen, H. Hu (2010)
How determinant attributes of service quality influence customer-perceived value: an empirical investigation of the Australian coffee outlet industry.International Journal of Contemporary Hospitality Management, 22
(2023)
The future of physical stores: creating reasons for customers to visit
Mark Yim, C. Yoo (2020)
Are Digital Menus Really Better than Traditional Menus? The Mediating Role of Consumption Visions and Menu EnjoymentJournal of Interactive Marketing, 50
Hyunju Shin, Bo Dai (2019)
Customer Reactions to Voluntary Use of Automated Service Interactions: An Abstract
Heungsun Hwang, M. Sarstedt, Gyeongcheol Cho, Hosung Choo, C. Ringle (2023)
A primer on integrated generalized structured component analysisEuropean Business Review
Kimitoshi Yamazaki, Yoshiaki Watanabe, Kimitoshi Nagahama, K. Okada, M. Inaba (2010)
Recognition and manipulation integration for a daily assistive robot working on kitchen environments2010 IEEE International Conference on Robotics and Biomimetics
Edward Wang, Jia-Rong Yu (2016)
Effect of product attribute beliefs of ready-to-drink coffee beverages on consumer-perceived value and repurchase intentionBritish Food Journal, 118
J. Dul (2023)
NCA: necessary condition analysis
This research examined the influence of the service attribute components of a smart automated coffee vending machine on the enjoyment and choice behaviour of customers from the perspective of the Stimulus-Organism-Response paradigm.Design/methodology/approachTo gain an improved understanding of the influential factors that can yield the desired study outcomes, this research employed sufficiency logic and necessity logic to provide insights and practical implications for research.FindingsWhile this study identified “special benefits” as a sufficient factor to induce both enjoyment and choice behaviour, “interactive experience” and “ease of use” were found to be the fundamental factors for achieving these two desirable outcomes.Originality/valueThis research extends beyond the conventional approach of symmetric analysis by incorporating necessary condition analysis to explore the essential conditions necessary for enjoyment and choice behaviours during automated-vending-machine consumption. The smart feature, highlighted by the ‘interactive experience,’ is revealed as one of the necessary factors in fostering enjoyment and influencing consumer choice of beverages from smart automated vending machines.
International Journal of Retail & Distribution Management – Emerald Publishing
Published: Oct 16, 2024
Keywords: Human-machine; Smart vending machine; SOR; Service experience; NCA
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