Governance Role of Auditors and Legal Environment: Evidence from Corporate Disclosure Transparency

In a sample of firms originating from 20 countries, we examine whether and how auditor size (our proxy for audit quality) associates with corporate disclosure transparency. While prior studies examine the relation between auditor size and several aspects of financial reporting quality (e.g. discretionary accruals, restatements, etc.), there is limited evidence on how auditor size relates to disclosure transparency. There is also mixed evidence on how auditor size relates to reporting quality in different legal environments. We find that auditor size is positively associated with disclosure transparency around the world and that the association is stronger in code law regimes than in common law regimes. The latter finding supports the view that audits play a greater governing role in weaker legal environments.     

Application of Sample Selection Model to Double-Bounded Dichotomous Choice Contingent Valuation Studies

Modeling households' behavior with the data from a contingentvaluation (CV) survey is often complicated by samplenon-response, which can cause non-response bias and sampleselection bias, leading to inconsistent parameter estimates and adistorted mean willingness-to-pay estimate. This paper reportsthe results of empirical tests for both biases using householdsurvey data in which the double-bounded dichotomous choice CVquestion involved the benefit of a tap water quality improvementpolicy in Korea. No non-response bias, but sample selection bias,is detected in the sample. To correct for sample selection bias,a sample selection model is employed. The authors also discusshow failure to correct for bias may distort aggregate benefitestimates.     

Website evaluation criteria among US college student consumers with different shopping orientations and Internet channel usage

The purpose of this study was to compare the website evaluation criteria among college student consumers in the US with different shopping orientations and Internet channel usage (i.e. online information searchers, online purchasers). The sample for this research was 414 college students, non‐married and aged 18–22 who have experience in visiting websites selling apparel products. Five apparel website evaluation criteria were identified by factor analysis (i.e. product information, customer service, privacy/security, navigation, auditory experience/comparison shopping). Based on shopping orientation factors, cluster analysis revealed three shopping orientation clusters (i.e. Hesitant In‐home Shoppers, Practical Clothing Shoppers, Involved Clothing Shoppers). Factorial manova showed that website evaluation criteria were significantly different among college student consumers with different shopping orientations and between online information searchers and online purchasers. Implications and limitations of the study are discussed.     

“Engineering Economics Jeopardy!” Mobile App for University Students

This article presents the “Engineering Economics Jeopardy!” mobile app development process and college students’ satisfaction assessment of the developed app. The app includes a general tools E-book, calculator, reference tables, conceptual questions, and calculation problems in an engaging fashion. The E-book is a summary of the key concepts of engineering economics. The calculator provides functions to solve basic engineering economics problems with formulas. The tables allow the users to compute discrete compound interest factors. Through this Jeopardy! game, users can compete with two virtual opponents that have artificial intelligence to answer conceptual questions and calculation problems. Different sets of problems range from the simple questions on the time value of money to more complex concepts, such as sensitivity analysis, Monte Carlo simulation, and supply–demand equilibrium. This app is intended to give students more opportunity to learn and practice concepts of engineering economics whenever and wherever they want using their mobile devices. Accomplishments of this work include the following:

• “Engineering Economics Jeopardy!” mobile app has been developed and distributed.

• Five thousand people have downloaded the app so far.

• The effectiveness of the developed app has been researched with 116 college students who were enrolled in engineering economics courses across two semesters.

     

Cloud Computing: Architectural and Policy Implications

Cloud computing has emerged as perhaps the hottest development in information technology. Despite all of the attention it has garnered, existing analyses focus almost exclusively on the issues surrounding data privacy without exploring cloud computing’s architectural and policy implications. This Article offers an initial exploratory analysis in that direction. It begins by introducing key cloud computing concepts, such as service oriented architectures, thin clients, and virtualization, and discusses the leading delivery models and deployment strategies being pursued by cloud computing providers. It then analyzes the economics of cloud computing in terms of reducing costs, transforming capital expenditures into operating expenditures, aggregating demand, increasing reliability, and reducing latency. It then discusses the architectural implications of cloud computing for access networking (focusing on bandwidth, reliability, quality of service, and ubiquity) and data center interconnectivity (focusing on bandwidth, reliability, security and privacy, control over routing policies, standardization, and metering and payment). It closes by offering a few observations on the impact of cloud computing on the industry structure for data centers, server-related technologies, router-based technologies, and access networks, as well as its implications for regulation.     

An analysis of prediction error for new prime-time television programmes: a comparative study between the USA and Korea

This study investigates possible factors in prediction error for audience share for new prime-time television programmes in the USA and Korea. While previous studies have focused on the factors affecting the size of a programme's actual audience, little attention has been paid to the accuracy of audience share prediction. A total of 193 new prime-time TV programmes from 1994 to 1997 for the USA and from 1998 to 2001 for Korea were examined. Advertising industry forecasters' predicted audience share, and actual share data were accumulated from Broadcasting & Cable and Weekly Nielsen Reports. Findings show that the ‘Programme Type’, ‘Returning Lead-Ins’ and ‘Returning Lead-Outs’ worked as significant factors for estimating error in audience share in the USA, and ‘Programme Type’ and ‘Programme Length’ played major roles in forecasting error in Korea. The degrees of relationship with forecasting error are consistent with previous studies' findings. Similarities and dissimilarities in prediction error in both countries were found and are discussed in this study.     

Is the Internet a primary source for consumer information search?: Group comparison for channel choices

A recent report estimates that 79% of American Internet consumers have searched online for health information [Fox, S., 2005. Health Information Online. Pew Internet & American Life Project, Washington, DC]. Currently, little information exists about consumers’ usage of the Internet as a channel of health information. As more consumers are relying on the Internet as a medical and health information search medium, relevant implicative research that provides insights into consumers’ online information searching behavior should be conducted. The present research attempted to reveal factors that drive consumers to adopt the Internet as their main channel of health information. Specifically, multiple facets, such as consumers’ psychological factors (i.e., personal characteristics) and perceived quality dimensions, were explored. Two Internet user groups were selected by their primary channel when searching for health information. Structural equation modeling was utilized to compare the two groups and identified significant differences of personal characteristics and perceived quality.     

Moderating effect of personal innovativeness on mobile-RFID services: Based on Warshaw's purchase intention model

As telecommunication market becomes more competitive and the customers' expectations regarding services or products increases, understanding customer or market needs is at the center of successful telecommunication business.In this study, we attempt to explore the intention of using mobile services based on the Warshaw's purchase intention model. We also focus on a personal innovativeness in the domain of IT (PIIT) because we assumed that as characteristics of telecommunication services become increasingly sophisticated, personal innovativeness could be a key factor of telecommunication services usage. In this study, we examine whether PIIT has the moderating effect on purchasing mobile-RFID services.The result shows that both purchasability and perceived need collectively explain purchase intention of mobile-RFID services, as well as PIIT serves to moderate the relationship between perceived need and purchase intention of mobile-RFID services. The study findings also indicate that IT knowledge, responsiveness to IT news and ability to use mobile phone of customers are positively related with PIIT.     

Branding Potentials of Keyword Search Ads: The Effects of Ad Rankings on Brand Recognition and Evaluations

From the long-term branding perspective, this study examined the effects of ad rankings in search engine result pages on memory and evaluations, particularly for unknown brands. Subjects’ topic knowledge (TK) and persuasion knowledge (PK) about keyword search ads were examined as moderators. Holding click-through rates constant, the results of an experiment, in general, suggest that top-ranked keyword search ads for the unknown brand may generate greater recognition and more favorable brand evaluations along the primed attribute than ones ranked lower than well-known brands. Online users’ TK and PK about keyword search ads are working together to enhance or attenuate such ranking effects on brand recognition and evaluations. Theoretical and practical implications of these findings are discussed.