This paper was retracted by IOP Publishing on 12 December 2018. This paper was published due to a technical error and was not intended to be included in this journal. Retraction published: 8 February ...2019
This paper was retracted by IOP Publishing on 12 December 2018. This paper was published due to a technical error and was not intended to be included in this journal. Retraction published: 8 February ...2019
Fake websites have become increasingly pervasive, generating billions of dollars in fraudulent revenue at the expense of unsuspecting Internet users. The design and appearance of these websites makes ...it difficult for users to manually identify them as fake. Automated detection systems have emerged as a mechanism for combating fake websites, however most are fairly simplistic in terms of their fraud cues and detection methods employed. Consequently, existing systems are susceptible to the myriad of obfuscation tactics used by fraudsters, resulting in highly ineffective fake website detection performance. In light of these deficiencies, we propose the development of a new class of fake website detection systems that are based on statistical learning theory (SLT). Using a design science approach, a prototype system was developed to demonstrate the potential utility of this class of systems. We conducted a series of experiments, comparing the proposed system against several existing fake website detection systems on a test bed encompassing 900 websites. The results indicate that systems grounded in SLT can more accurately detect various categories of fake websites by utilizing richer sets of fraud cues in combination with problem-specific knowledge. Given the hefty cost exacted by fake websites, the results have important implications for e-commerce and online security.
PurposeFour years after the release of a responsive design website that provides a dynamic screen layout across three access devices (computer, tablet and smartphone), a repeat study was conducted to ...determine changes in the way that library website functions are and are not accessed.Design/methodology/approachA survey, similar to the original study, was used to determine the rate of access of 20 website functions by three access devices (computer, tablet and smartphone) and a “did not use” (DNU) category. A two-proportion Z-test was used to determine significant differences in the rate of access for each website function and the “did not use” (DNU) category by each access device from 2014 to 2018.FindingsThe computer is still the primary tool used to access website functions, but its rate of use is declining, while access via the smartphone is increasing, including research and for learning functions traditionally accessed only by computer. Access by tablet, with poor website function access rates in 2014, declined in use, with some rates approaching zero. Increases in the DNU category for website functions occurred, but reasons why were not determined. The increases raised questions about the relevance of some of the website functions and if other actions are needed to increase use.Originality/valueRepeating the 2014 study provided insights into the changing landscape of device preferences for accessing library website functions. The number of significant changes identified demonstrates the importance of recurring studies to determine how online access to library website functions evolves over time.
Malicious software (malware) is a challenging cybersecurity threat, as it is often bundled with legitimate software and downloaded by naïve users. A significant source of malware downloads is via ...crack websites that are used to circumvent copyright protection mechanisms. Crack websites often change URLs and IPs to avoid automatic detection; however, in many cases, they preserve specific visual designs that signal the website's function to potential users (such as particular colors, text fonts, shapes, and sizes.). Website design features are numerous, have high dimensionality and complicated interactions, making categorization challenging. This study shows that straightforward machine learning models for categorizing Crack and Malicious websites can considerably benefit from using design features. We report on two experiments based on unbalanced datasets and show that classification by using design features can reach a categorization accuracy of over 90% with an F1-score over 77% in some instances. Finally, we discuss the results in the context of developing intelligent security mechanisms.
Purpose
This study aims to examine determinants of perceived website quality and associations among consequences of perceived website quality. Adopting the framework of loyalty development, causal ...links are investigated among the website quality, customers’ perceived service quality, their satisfaction, return intention and loyalty in the context of the lodging industry.
Design/methodology/approach
An online field survey is conducted with internet bookers. A confirmatory factor analysis and a parameter estimate analysis using structural equation modeling are adopted to analyze the data.
Findings
The progression of the phases of loyalty proceeds in a linear fashion on a lodging website. Mediation effects of customer satisfaction and return intention are detected. Moderation effects of gender were also detected in the relationships among website service quality and consequences of website service quality.
Research limitations/implications
Caution is advised in generalizing findings of this study due to convenience sampling, although findings of the study do confirm results of previously conducted studies.
Practical implications
This study provides practical tips for website development for hospitality management to understand the e-loyalty formation process so that appropriate marketing strategies can be established to accommodate the type and degree of individual customer’s loyalty as well as gender-specific expectations from prospective customers.
Originality/value
This study demonstrates that customer loyalty formation in both physical and online environments has identical processes in the context of the lodging industry. The male group, compared to the female group, appears to be more sensitive in perceiving the effects of functionality of a lodging website, tends to develop customer satisfaction when perceiving website service quality and inclines to develop customer loyalty when having return intention.
Corporations spend millions of dollars a year creating and maintaining corporate websites, yet many of these sites fail to reach the organization's goals Freemantle D. The psychology of crm. Int J ...Cust Relatsh Manag 2002;
http://www.superboss.co.uk/articles2main.htm. Recent research suggests that these failures reflect poor website design, yet this research lacks the specificity necessary to provide practical recommendations for improving site performance Rosen EE, Purinton E. Website design: viewing the web as a cognitive landscape. J Bus Res 2004; 57:787–94. This study fills that gap by providing specific recommendations regarding website design elements that generate positive managerial outcomes. First, the study tests a wide range of design elements to determine those that provide human elements and computer elements. Next, these elements are linked through intermediaries using the uses and gratifications theory, technology acceptance model, and the concept of flow to explain purchase intentions and intentions to revisit the site.
Nowadays, patients are seeking physician information more frequently via the internet. Physician-rating websites (PRWs) have been recognized as the most convenient way to gain insight and detailed ...information about specific physicians before receiving consultation. However, little is known about how the information provided on PRWs may affect patients' decisions to seek medical advice.
This study aimed to examine whether the physicians' online efforts and their reputation have a relationship with patients' choice of physician on PRWs.
A model, based on social exchange theory, was developed to analyze the factors associated with the number of online patients. A 3-wave data collection exercise, covering 4037 physicians on China's Good Doctor website, was conducted during the months of February, April, and June 2017. Increases in consultation in a 60-day period were used as the dependent variable, whereas 2 series of data were analyzed using linear regression modeling. The fixed-effect model was used to analyze the 3-wave data.
The adjusted R
value in the linear regression models were 0.28 and 0.27, whereas in the fixed-effect model, it was .30. Both the linear regression and fixed-effect models yielded a good fit. A positive effect of physicians' effort on the aggregated number of online patients was identified in all models (R
=0.30 and R
=0.37 in 2 regression models; R
=0.23 in fixed effect model; P<.001). The proxies of physicians' reputations indicated different results, with total number of page views of physicians' homepages (R
=0.43 and R
=0.46; R
=0.16; P<.001) and number of votes received (R
=0.33 and R
=0.27; R
=0.43; P<.001) being seen as positive. Virtual gifts were not significant in all models, whereas thank-you messages were only significant in the fixed-effect model (R
=0.11; P=.02). The effort made by physicians online is positively associated with their aggregated number of patients consulted, whereas the effect of a physician's reputation remains uncertain. The control effect of a physician's title and hospital's level was not significant in all linear regressions.
Both the effort and reputation of physicians online contribute to the increased number of online patients' consultation; however, the influence of a physician's reputation varies. This may imply that physicians' online effort and reputation are critical in attracting patients and that strategic manipulation of physician profiles is worthy of study. Practical insights are also discussed.
Overweight patients report weight discrimination in health care settings and subsequent avoidance of routine preventive health care. The purpose of this study was to examine implicit and explicit ...attitudes about weight among a large group of medical doctors (MDs) to determine the pervasiveness of negative attitudes about weight among MDs. Test-takers voluntarily accessed a public Web site, known as Project Implicit®, and opted to complete the Weight Implicit Association Test (IAT) (N = 359,261). A sub-sample identified their highest level of education as MD (N = 2,284). Among the MDs, 55% were female, 78% reported their race as white, and 62% had a normal range BMI. This large sample of test-takers showed strong implicit anti-fat bias (Cohen's d = 1.0). MDs, on average, also showed strong implicit anti-fat bias (Cohen's d = 0.93). All test-takers and the MD sub-sample reported a strong preference for thin people rather than fat people or a strong explicit anti-fat bias. We conclude that strong implicit and explicit anti-fat bias is as pervasive among MDs as it is among the general public. An important area for future research is to investigate the association between providers' implicit and explicit attitudes about weight, patient reports of weight discrimination in health care, and quality of care delivered to overweight patients.
In the digital age, charitable organizations increasingly rely on websites as crucial platforms for fundraising, outreach, and communication. Integrating human traits to digital interfaces as a mean ...to improve the user’s attitude and experience is a well-researched topic with various case studies. This study investigates the impact of images featuring genuine human faces and perceived social scenarios on user engagement metrics within the context of charitable websites, focusing on trust perception, social media sharing behavior, and donation willingness. A controlled A/B/C test was conducted, presenting participants with three versions of a charitable website: one displaying a stack of books (Version A), another showcasing a stock image of children in school (Version B), and the third featuring a genuine photo of Romanian children engaged in learning activities (Version C). Data was collected from 150 respondents (50 for each version), and quantitative analysis was performed to evaluate the effectiveness of each background image in influencing user behavior. Results shown that authentic photographs evoke more trust and willingness to donate to a cause among Romanian respondents. The conclusions of this paper can be used to further improve the results of online crowdfunding efforts of charitable organizations.
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