Touring destination and intention to consume indigenous food

Fam, Kim‐Shyan; Annuar, Sharifah Nurafizah Syed; Tan, Kim-Lim; Lai, Franklin Hazley; Ingko, Ida Anak

doi:10.1108/bfj-08-2019-0635

Cited by 19 publications

(19 citation statements)

References 47 publications

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“…Four items were deleted due to low factor loading, resulting in an increase of its composite reliabilities and AVE above the recommended threshold. Studies such as Tan et al (2019) and Fam et al (2019) has also seen a similar number of items being deleted for not meeting the required threshold. The composite reliabilities of the constructs ranged from 0.775 to 0.918, which are higher than the cut-off value of 0.70 (Hair et al , 2017).…”

Section: Resultsmentioning

confidence: 99%

Effect of work engagement on meaningful work and psychological capital: perspectives from social workers in New Zealand

Tan

Lew

Sim

2020

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PurposeThis paper investigates the effect and the predictive capacity of work engagement on personal and job resources, in the form of psychological capital (PsyCap) and meaningful work in the non-profit organisations (NPO)s settings.Design/methodology/approachData were collected from 303 social workers working in New Zealand's NPOs. The hypotheses were tested using the partial least squares structural equation modelling (PLS-SEM).FindingsResults of this study reveal that work engagement is positively related to both PsyCap and meaningful work. It shows that work engagement is instrumental in enhancing one's PsyCap at the same time improving one's perception of work. The model demonstrates good predictive power.Originality/valueThis study advances our understanding of the relationship of outcomes to resources as postulated in the JD-R theory. This is the first few studies to examine the effect of work engagement on PsyCap and meaningful work, as well as the mediating effect of PsyCap on the relationship between work engagement and meaningful work. At the same time, it provides conceptual clarity on the role of specific job resource and personal resource, demonstrating that resources do not operate in isolation but can build more resources. This study also contributes to the field of human resource management using a predictive PLS-SEM technique.

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Section: Resultsmentioning

confidence: 99%

Effect of work engagement on meaningful work and psychological capital: perspectives from social workers in New Zealand

Tan

Lew

Sim

2020

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“…Meanwhile, other food research focusing on sensory perceptions also described consumption behavior using SEM (Fam et al, 2019;Haase et al, 2018;Harris et al, 2019;Hoque et al, 2018;Rankin et al, 2018). These papers used consumer sensory as an unobserved variable.…”

Section: Related Literature and Hypothesesmentioning

confidence: 99%

How sauce color affects consumer emotional response and purchase intention: a structural equation modeling approach for sensory analysis

Ketkaew

Wongthahan

Sae‐Eaw

2021

BFJ

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PurposeHere the authors investigate the effects of a visual color cue (brown color) on saltiness expectations, emotional responses and purchase intention of commercial soy sauce products.Design/methodology/approachThe study enrolled 100 participates, and three sauce colors (light brown, medium brown and dark brown) were used as treatments in this experimental design research. The data analysis was done by a structural equation modeling (SEM) approach with repeated measures.FindingsThe findings indicated that, for the medium and dark brown sauces, the final model revealed a positive effect of sauce color intensity on saltiness expectation, a positive impact of saltiness expectation on emotion and a positive impact of emotion on purchase intention with statistically indifferent factor loadings. Hence, both the medium and dark brown colors soy sauces were the preferred choices for consumers. However, for the light brown color, the test result was unsatisfactory.Originality/valueSeveral empirical studies have identified visual cues as useful for sodium reduction. However, from a marketing perspective, a causal relationship between the color intensity and a customer's purchase intention has not been explored in soy sauce products using an experimental design concept and SEM.

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“…Food and beverage expenditures are estimated to account for roughly a quarter of total tourism spending worldwide. As food and tourism are inextricably linked, gastronomic tourism, in which the local cuisine serves as the primary attraction for travelers, has gained popularity in recent years [1]. Local foods can contribute to the development of a local brand, which encourages tourism growth in several countries [2].…”

Section: Introductionmentioning

confidence: 99%

Indigenous Food Recognition Model Based on Various Convolutional Neural Network Architectures for Gastronomic Tourism Business Analytics

et al. 2021

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In gastronomic tourism, food is viewed as the central tourist attraction. Specifically, indigenous food is known to represent the expression of local culture and identity. To promote gastronomic tourism, it is critical to have a model for the food business analytics system. This research undertakes an empirical evaluation of recent transfer learning models for deep learning feature extraction for a food recognition model. The VIREO-Food172 Dataset and a newly established Sabah Food Dataset are used to evaluate the food recognition model. Afterwards, the model is implemented into a web application system as an attempt to automate food recognition. In this model, a fully connected layer with 11 and 10 Softmax neurons is used as the classifier for food categories in both datasets. Six pre-trained Convolutional Neural Network (CNN) models are evaluated as the feature extractors to extract essential features from food images. From the evaluation, the research found that the EfficientNet feature extractor-based and CNN classifier achieved the highest classification accuracy of 94.01% on the Sabah Food Dataset and 86.57% on VIREO-Food172 Dataset. EFFNet as a feature representation outperformed Xception in terms of overall performance. However, Xception can be considered despite some accuracy performance drawback if computational speed and memory space usage are more important than performance.

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Touring destination and intention to consume indigenous food

Cited by 19 publications

References 47 publications

Effect of work engagement on meaningful work and psychological capital: perspectives from social workers in New Zealand

Effect of work engagement on meaningful work and psychological capital: perspectives from social workers in New Zealand

How sauce color affects consumer emotional response and purchase intention: a structural equation modeling approach for sensory analysis

Indigenous Food Recognition Model Based on Various Convolutional Neural Network Architectures for Gastronomic Tourism Business Analytics

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