|
1
|
Abdel-Gayed AH, Hassan TH, Abdou AH, Abdelmoaty MA, Saleh MI, Salem AE. Travelers' Subjective Well-Being as an Environmental Practice: Do Airport Buildings' Eco-Design, Brand Engagement, and Brand Experience Matter? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20020938. [PMID: 36673693 PMCID: PMC9859295 DOI: 10.3390/ijerph20020938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/26/2022] [Accepted: 12/31/2022] [Indexed: 05/06/2023]
Abstract
The physical environment of airports plays a crucial role in improving travelers' perceptions and well-being. Adopting a green physical environment may elicit customers' cognitive and emotional responses and provide a convenient consumption environment. Brand experience and engagement are other important consumer-firm interactions that influence the attributes of the passengers' well-being. The current study sought to assess the impact of the eco-design of buildings, brand experience and engagement on the well-being of travelers at an international airport in Saudi Arabia. Additionally, the current study investigated the possible effects of eco-design on airport experience and engagement. The results of the structural equation modeling analysis revealed that the eco-design of airport buildings was independently associated with passengers' well-being and brand engagement, but not with brand experience. Additionally, well-being was significantly predicted by brand engagement and experience. Airport managers are advised to adopt an internal eco-design to help promote passengers' connection with the brand and improve their well-being, which would eventually be reflected in their behavioral attributes and decision-making.
Collapse
Affiliation(s)
- Aly H. Abdel-Gayed
- Social Studies Department, College of Arts, King Faisal University, Al Ahsa 400, Saudi Arabia
| | - Thowayeb H. Hassan
- Social Studies Department, College of Arts, King Faisal University, Al Ahsa 400, Saudi Arabia
- Tourism Studies Department, Faculty of Tourism and Hotel Management, Helwan University, Cairo 12612, Egypt
- Correspondence:
| | - Ahmed Hassan Abdou
- Social Studies Department, College of Arts, King Faisal University, Al Ahsa 400, Saudi Arabia
- Hotel Studies Department, Faculty of Tourism and Hotels, Mansoura University, Mansoura 35516, Egypt
| | | | - Mahmoud I. Saleh
- Tourism Studies Department, Faculty of Tourism and Hotel Management, Helwan University, Cairo 12612, Egypt
- Marketing Department, Graduate School of Management, Saint Petersburg State University, 199004 Saint Petersburg, Russia
| | - Amany E. Salem
- Social Studies Department, College of Arts, King Faisal University, Al Ahsa 400, Saudi Arabia
- Tourism Studies Department, Faculty of Tourism and Hotel Management, Helwan University, Cairo 12612, Egypt
| |
Collapse
|
|
2
|
Byrne A, Bonfiglio E, Rigby C, Edelstyn N. A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research. Brain Inform 2022; 9:27. [PMCID: PMC9663791 DOI: 10.1186/s40708-022-00175-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 09/15/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Introduction
The present paper discusses the findings of a systematic review of EEG measures in neuromarketing, identifying which EEG measures are the most robust predictor of customer preference in neuromarketing. The review investigated which TF effect (e.g., theta-band power), and ERP component (e.g., N400) was most consistently reflective of self-reported preference. Machine-learning prediction also investigated, along with the use of EEG when combined with physiological measures such as eye-tracking.
Methods
Search terms ‘neuromarketing’ and ‘consumer neuroscience’ identified papers that used EEG measures. Publications were excluded if they were primarily written in a language other than English or were not published as journal articles (e.g., book chapters). 174 papers were included in the present review.
Results
Frontal alpha asymmetry (FAA) was the most reliable TF signal of preference and was able to differentiate positive from negative consumer responses. Similarly, the late positive potential (LPP) was the most reliable ERP component, reflecting conscious emotional evaluation of products and advertising. However, there was limited consistency across papers, with each measure showing mixed results when related to preference and purchase behaviour.
Conclusions and implications
FAA and the LPP were the most consistent markers of emotional responses to marketing stimuli, consumer preference and purchase intention. Predictive accuracy of FAA and the LPP was greatly improved through the use of machine-learning prediction, especially when combined with eye-tracking or facial expression analyses.
Collapse
|