Predicting Online Travel Adoption Intention of an Indian Consumer: A SEM-Neural Network Approach

Koundinya, Chakravarthi

doi:10.4236/tel.2019.92026

Cited by 7 publications

(5 citation statements)

References 90 publications

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“…Although the findings related to trust is consistent with previous studies (Gefen et al. , 2003; Koundinya, 2019), the most interesting and novel finding of this study, different from previous studies, is that trust was found the most important and the strongest factor to influence consumer’s intention than attitude and subjective norms. The reason for this could be that during COVID-19, trust was the major concern while ordering food and beverage items.…”

Section: Discussionsupporting

confidence: 80%

Behavioral intention to order food and beverage items using e-commerce during COVID-19: an integration of theory of planned behavior (TPB) with trust

Hamid

Azhar

Sujood

2022

BFJ

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PurposeThis paper aims to examine consumers’ behavioral intention (BI) to order food and beverage items using e-commerce during COVID-19 by incorporating trust (TRU) with the theory of planned behavior (TPB).Design/methodology/approachData were collected via an online questionnaire, and the study used a total of 306 accurate and usable responses. The population of the study includes Indian consumers. Data were analyzed using SPSS 25 and AMOS 22.0. The proposed hypotheses were statistically tested.FindingsThe empirical results show that attitude (ATT), subjective norms (SN) and trust significantly and positively influence behavioral intention, while perceived behavioral control (PBC) is insignificant. This study reveals that the proposed model explained approximately 51% of the variance in the behavioral intention.Research limitations/implicationsSeveral theoretical and practical implications are drawn on the basis of the findings of the current study that can be used to make recommendations to e-commerce companies and help them understand the behavioral intention of consumers during COVID-19. Since the research is primarily focused on India, it is difficult to extrapolate the findings to other countries.Originality/valueTo the best of researchers’ knowledge, no single study was carried out in the Indian context that tested the influence of trust on the behavioral intention of ordering food and beverage items using e-commerce during COVID-19. Hence, the present study attempts to understand the factors influencing purchase intention in e-commerce and analyzes the relationship between these factors in the backdrop of COVID-19.

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Section: Discussionsupporting

confidence: 80%

Behavioral intention to order food and beverage items using e-commerce during COVID-19: an integration of theory of planned behavior (TPB) with trust

Hamid

Azhar

Sujood

2022

BFJ

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“…Further, we found that the behavioral intention to use digital public services is directly and favorably affected by perceived trust. This result supports Hypothesis H8, which is consistent with earlier research (e.g., Alzoubi et al 2019;Bélanger and Carter 2008;Chatzoglou et al 2015;Gu et al 2009;Koundinya 2019;Kumar and Sachan 2017;Voutinioti 2013;Zahid and Din 2019;Zeebaree et al 2022).…”

Section: Discussionsupporting

confidence: 92%

Making Digital Government More Inclusive: An Integrated Perspective

Al-Mamary,

Alshallaqi

2023

Social Sciences

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This study aims to identify the key factors that can contribute to making digital government more inclusive. This study developed a research model based on integrating the theory of e-government adoption and innovation resistance theory. The empirical testing was carried out in Saudi Arabia, which is widely considered one of the most progressive nations in the Middle East in terms of digital government transformation. In total, 412 people participated in this study. This study used structural equation modeling to validate the integrated model. Based on this study’s findings, this study identified the primary factors that can help make digital governments more inclusive. The most crucial elements are perceived compatibility, perceived awareness, availability of resources, perceived information quality, perceived trust, perceived functional benefits, and perceived service response. The results of this research inform government officials and policymakers in their move toward the goal of inclusive and easily accessible digital government services.

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“…Subjective norms indicate social influence which encourages or discourages people to perform a particular behavior (Rivis et al, 2009;Bae and Chang, 2020). It is explained as traveler's perception of social normative pressures created by friends, family, peers and others' beliefs (Taylor and Todd, 1995;Koundinya, 2019) and social influence is the perception held by travelers of what others who are important to them, think their traveling behavior should be like (Fishbein and Ajzen, 1975;Koundinya, 2019). Subjective norm is a predictor of behavioral intention in the TPB, which influences behavior.…”

Section: Subjective Normsmentioning

confidence: 99%

Behavioral intention of traveling in the period of COVID-19: an application of the theory of planned behavior (TPB) and perceived risk

Sujood

Hamid

Bano

2021

IJTC

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Purpose This paper aims to examine travelers` behavioral intention of traveling in the period of coronavirus by employing the theory of planned behavior. The framework incorporates attitude, subjective norms, perceived behavioral control and a very crucial construct, i.e. perceived risk, as per the current critical scenario of COVID-19. Design/methodology/approach Data was collected using a survey instrument on the internet by posting the questionnaire link over social network web pages of online traveling websites. The data was analyzed using structural equations modeling with AMOS 22.0 and SPSS software, and the proposed hypotheses were statistically tested. The sample under consideration constitutes 417 responses. Findings Empirical findings suggest that attitude, perceived behavioral control and perceived risk are significant for predicting behavioral intention while subjective norms do not. And these variables explained about 35 percent of the variance in behavioral intention of traveling in the period of coronavirus. Research limitations/implications This study can benefit travelers, tourism and hospitality industry, governments, aviation industry and other relevant organizations as this paper offers the latest updates and essential information regarding traveler`s intention of traveling in the period of coronavirus. The study mainly focuses on India, so the generalizations of results to other countries are unwanted. Originality/value The primary value of this paper is that it tested the theory of planned behavior by incorporating perceived risk in the context of COVID-19. To the best of authors’ knowledge, in Indian context, there is no study which has tested the TPB by adding perceived risk in explaining the Indian citizens’ behavioral intention of traveling in the period of Coronavirus.

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Predicting Online Travel Adoption Intention of an Indian Consumer: A SEM-Neural Network Approach

Cited by 7 publications

References 90 publications

Behavioral intention to order food and beverage items using e-commerce during COVID-19: an integration of theory of planned behavior (TPB) with trust

Behavioral intention to order food and beverage items using e-commerce during COVID-19: an integration of theory of planned behavior (TPB) with trust

Making Digital Government More Inclusive: An Integrated Perspective

Behavioral intention of traveling in the period of COVID-19: an application of the theory of planned behavior (TPB) and perceived risk

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