Identifying Significant Factors Influencing Consumer Trust in an Online Travel Site

2006 ◽  
Vol 8 (3) ◽  
pp. 197-214 ◽  
Author(s):  
Changfeng Chen
Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.


Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.


2019 ◽  
Vol 11 (21) ◽  
pp. 6082 ◽  
Author(s):  
Judith Rosenow ◽  
Hartmut Fricke

Contrails are one of the driving contributors to global warming, induced by aviation. The quantification of the impact of contrails on global warming is nontrivial and requires further in-depth investigation. In detail, condensation trails might even change the algebraic sign between a cooling and a warming effect in an order of magnitude, which is comparable to the impact of aviation-emitted carbon dioxides and nitrogen oxides. This implies the necessity to granularly consider the environmental impact of condensation trails in single-trajectory optimization tools. The intent of this study is the elaboration of all significant factors influencing on the net effect of single condensation trails. Possible simplifications will be proposed for a consideration in single-trajectory optimization tools. Finally, the effects of the most important impact factors, such as latitude, time of the year, and time of the day, wind shear, and atmospheric turbulence as well as their consideration in a multi-criteria trajectory optimization tool are exemplified. The results can be used for an arbitrary trajectory optimization tool with environmental optimization intents.


2017 ◽  
Vol 8 (2) ◽  
pp. 174-189 ◽  
Author(s):  
Xueyan Yang ◽  
Xiaoni Zhang ◽  
Samuel Goh ◽  
Chad Anderson

Purpose The purpose of this paper is to understand e-loyalty in the travel industry. Specifically, this paper aims to examine the curvilinear relationship between predictors and e-loyalty. Design/methodology/approach An empirical study was conducted using an online survey with one of the largest travel companies in China. Structural equation modeling was used to test the models, and pair-wise nested F-tests were used to compare the models. Findings Results show that the curvilinear model has greater explanatory power of loyalty than traditional linear models. The results of pair-wise nested F-tests show that the loyalty model exhibits statistically significant R2 improvement compared to the linear model. However, the R2 improvement in the integrated model is not statistically different from that in the linear model. Confirmation and satisfaction are found to be salient factors influencing loyalty. Research limitations/implications This study makes important contributions to the online community literature by understanding the drivers of loyalty in the travel industry. However, there are limitations. First, this study addressed member loyalty of an online travel community with data collected from one company. Thus, generalizability is limited. Online communities and firms may have different characteristics, resulting in different factors influencing consumer loyalty. The authors plan in the future to collect data from other online travel companies and examine their model with different samples so as to check the generalizability of the current findings. Second, the authors collected a snapshot view on loyalty. Both researchers and managers note that small changes in loyalty and retention can yield disproportionately large changes in profitability (Reichheld et al., 2000). Consumer loyalty may change over time, so to maintain and increase profits, it is important to monitor such change. In the future, the authors plan to conduct a longitudinal study of community members to evaluate their loyalty over time. Practical implications As China seeks to gain additional market share in the global tourism market, travel companies should make use of websites as a marketing tool to attract and retain customers. These actions enable a travel company to enhance its competitiveness. More and more people use the internet for tour deals, bookings and finding tour-related information. Effective use of websites can affect the competitiveness of ecommerce companies. E-vendors could assess and adopt the dimensions recommended in this paper to help better understand areas for improvement. It is common today for consumers to buy travel products online instead of going through a travel agent. Considering the importance of reciprocity in formulating consumer satisfaction and loyalty in the virtual environment, companies should monitor reciprocal behavior on the virtual community. With advancement in technologies, consumer behaviors have changed and more consumers prefer social interactions in the virtual world. Companies can analyze posts in the virtual environment to assess reciprocity and may design a mechanism to foster reciprocal behaviors. By leveraging reciprocity, firms can better connect satisfaction with loyalty. More than 70 per cent of executives surveyed by McKinsey (2012) said that they regularly generate value through their Web communities. In addition, to pay attention to consumer to consumer reciprocity in the virtual world, companies should listen to what customers say in their online community, as this attention is an indication of reciprocity between consumers and companies. The ideas and opinions expressed in the online community tell the company customers’ perception of the value of its products and customers’ needs. Such attention to the voices in the online community will help companies to better tailor products/services to meet customers’ needs. Furthermore, the voices expressed in the virtual community are also effective in developing and maintaining new internet marketing opportunities such as email marketing, giveaways, search engine optimization, pay per click and shopping comparison marketing. Companies interested in retaining and attracting customers should leverage their established virtual communities and pay close attention to online posts and evaluate members’ satisfaction. Such effort will provide tangible benefits. As shown in Ye et al.’s study, traveler reviews produce a significant impact on online sales (Ye et al., 2011), with a 10 per cent increase in traveler review ratings, boosting online bookings by more than 5 per cent. This finding suggests that businesses should link online user-generated reviews to business performance in tourism. Finding incentives for users to share might be one way to improve interactivity and further create stickiness on the part of the website. Originality/value This paper is one of the first studies to address the need to move beyond linear models of e-loyalty and to additionally examine potential curvilinear and interactive effects. This study also identifies key variables such as reciprocity and satisfaction as determinants of e-loyalty in the Chinese online travel and tourism industry.


1984 ◽  
Vol 23 (4) ◽  
pp. 598-603 ◽  
Author(s):  
Toshiro KAWAI ◽  
Kou KANEKO ◽  
Seiichi KOBAYASHI ◽  
Sachiko KUBONO ◽  
Eriko KATSUKAWA ◽  
...  

2013 ◽  
Vol 45 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Lu Jin ◽  
Michael K. Wohlgenant ◽  
Charles D. Safley

Socioeconomic factors influencing consumer demand for nursery products and landscape projects were investigated using consumer survey data collected from North Carolina in 2008. Tobit models were estimated for censored dependent variables, budget expenditure shares on nursery products, and landscape spending. The most significant factors influencing the share of income spent on nursery products were age and household income. The elderly and baby boomers tend to spend less on bedding plants, perennials, and outdoor hardscapes than Generations X and Y. The income elasticities suggest that the amount spent on outdoor living projects is sensitive to changes in household income, whereas spending in vegetable plants and chemicals is less responsive to income.


2021 ◽  
Vol 8 (8) ◽  
pp. 704-711
Author(s):  
Ica Cahyanti ◽  
Amrin Fauzi ◽  
Endang Sulistya Rini

Purchase decision is a stage that a buyer makes to choice and purchase products and then consume them. Many factors influencing on the purchase decision including e-trust and marketing public relations. Consumer trust (e-trust) is one of the factors in e-commerce that plays an important role to maintain business relationship, especially e-commerce businesses that require consumers to pay before receiving an order. Another factor that influences online purchasing decision is marketing public relations. The present study is a survey using an associative quantitative approach aimed at determining the effect of E-trust, publicity, sponsorship and special events on purchasing decision of products offered by Lotte Mart Grosir Medan. The population included all Lotte Mart Grosir Medan consumers who have used the Lotte Mart Grosir online purchasing application during 2019 as of 2174. The sampling method used an accidental sampling resulting in 96 samples. The data collection method used a questionnaire. The collected data were then analyzed by using a multiple linear regression. The results of research and data analysis show that the factors of E-trust, publicity, sponsorship and special events have a positive and significant effect on purchasing decision. E-trust partially has a positive and significant effect on purchasing decision. Publicity partially has a positive and significant effect on purchasing decision. Sponsorship partially has a positive and significant effect on purchasing decision. Special events partially has a significant influence on purchasing decision. It is suggested to the Lotte Mart Grosir Medan to simply the website application to customer or prospective customer can easily apply the website to know products and to make transactions. Keywords: E-trust, Marketing Public Relations, Online Purchasing Decision.


2019 ◽  
Vol 18 (4) ◽  
pp. 362-394
Author(s):  
Aye Alemu ◽  
Wenqing Zhang

Abstract This study uses an augmented dynamic gravity model to identify the main contributing factors influencing bilateral trade between China and 46 African countries in general and to test whether Sino-Africa bilateral trade is more than resource focused in particular. Natural resource was captured by “oil exports” and “ores & metal exports,” and the empirical analysis verifies only “oil” not “ores & metals” to significantly influence the growing Sino-Africa bilateral trade. Thus, the empirical result partially supports the widely held view that natural resources are critical to bilateral trade between China and African countries. However, it is not true that Chinese engagement in Africa is exclusively due to natural resources as always portrayed. Apart from the oil factor, some other significant factors for the growing bilateral trade are identified. The study indicates there is a huge opportunity and potential for rapid expansion of Sino-Africa bilateral trade that is mutually beneficial.


2013 ◽  
Vol 28 (2) ◽  
pp. 253-256 ◽  
Author(s):  
Hideaki TANAKA ◽  
Masahide IBUNE ◽  
Shinichirou KAWAKITA ◽  
Masami YOKOGAWA ◽  
Katsumi INOUE ◽  
...  

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