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.
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.
PurposeThis study examines the economic crisis caused by coronavirus on the global tourism industry in general and the Indian tourism industry in particular. This paper highlights the strategies that tourism companies should implement in times of crisis to reduce the negative impact. It also discovers the business opportunities which can be offered amid this deadly pandemic.Design/methodology/approachThe study is based on a systematic literature review. The literature has been explored by utilizing the keywords “economic crises,” “coronavirus,” “Indian tourism industry,” “Global tourism industry” on the three most popular databases namely Scopus, Web of Science and Google Scholar. In this study, statistics, current events, published research papers and a synthesis of news transmitted by various media sources were used to assess the economic crisis caused by coronavirus.FindingsThe obtained findings demonstrate that coronavirus severely affected the economy of the world and India. The pandemic has hit the economies that are dependent on tourism the worst. These countries are expected to bear the brunt of the crisis's consequences for longer than other economies. This coronavirus outbreak indicates that the tourism industry was unprepared to deal with such a pandemic, which affected and crippled the economy.Research limitations/implicationsThis study demonstrates economic crisis, management strategies and business opportunities during any crisis, chaos and disaster, in addition to its academic contribution to the existing body of the literature. Policymakers and industry practitioners might be offered suggestions based on the findings of current study to design futuristic strategies for better economic crisis management. The data given in this study is timely because taking an exact idea of tourism losses through the data is difficult, as the data changes as quickly as the virus spreads.Originality/valueThis paper forms its originality by concentrating on the aspects of economic crisis, strategies to mitigate the negative impact of coronavirus on the tourism economy and detailing the business opportunities which these crises can offer. This paper provides an evaluation of the current status of the tourism economy of the world and India as well.
Solo travel is no longer a niche market. It alone contributes a massive amount of the total travel market and has shown an enormous growth in recent years. But the existing body of literature on solo women travelling and its outcomes is quite negligible. Consequent upon the fact, this study significantly contributes in the increment of existing literature. A conceptual model is proposed based on the secondary data sources and presents a discussion on the impact of solo travel experiences on women’s well-being. For this purpose, a range of research papers, articles, blogs and other relevant social media contents have been reviewed to draw conclusive results for the study. In the findings, self-transformation and positive changes in well-being came out as resultant factors of solo travelling in many cases. Major reasons for solo travelling found during the study were—to overcome stress and depression, to bring positive change in present state of life, escape, happiness, empowerment, self-growth and self-realisation. This paper significantly adds to further researches on women solo travelling trends by providing insights into independent form of travel and draws attention towards its importance for women’s health.
The present study intends to unwrap the influence of social media electronic word of mouth (eWOM) on revisit intention post-COVID-19 applying the theory of planned behavior (TPB). Two additional constructs, viz., eWOM and destination image, have been undertaken in the present study to enhance the robustness of the TPB model. An online questionnaire was employed to collect data, and the research relied upon 301 correct and useable responses. The survey's population includes potential tourists who intend to revisit India post-COVID-19. SPSS 20 and AMOS 22.0 were used to analyze the data. The posited model was validated using confirmatory factor analysis (CFA) and structural equation modeling (SEM). The findings indicate that all of the constructs under study, namely "electronic word of mouth (eWOM), destination image (DI), attitude (ATT), subjective norm (SN), and perceived behavioral control (PBC)," significantly and positively influence "tourists' revisit intention (RI)" post-COVID-19. These constructs explained approximately 71% (R2 = 0.709) of the variance in the revisit intention post-COVID-19. A number of theoretical and practical implications can be delineated to make recommendations to the ministry of tourism, tour and travel agencies, central and state government-owned tourism departments, marketers and promoters of travel destinations. The distinctiveness of the present study lies in the fact that it measures the influence of eWOM on revisit intention post-COVID-19 in the Indian context by incorporating destination image with the TPB model.
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