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W e explore how Internet browsing behavior varies between mobile phones and personal computers. Smaller screen sizes on mobile phones increase the cost to the user of browsing for information. In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important. Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects. We show that (1) ranking effects are higher on mobile phones suggesting higher search costs: links that appear at the top of the screen are especially likely to be clicked on mobile phones and (2) the benefit of browsing for geographically close matches is higher on mobile phones: stores located in close proximity to a user's home are much more likely to be clicked on mobile phones. Thus, the mobile Internet is somewhat less "Internet-like": search costs are higher and distance matters more. We speculate on how these changes may affect the future direction of Internet commerce.

In 2013, the global mobile app market was estimated at over US$50 billion and is expected to grow to $150 billion in the next two years. In this paper, we build a structural econometric model to quantify the vibrant platform competition between mobile (smartphone and tablet) apps on the Apple iOS and Google Android platforms and estimate consumer preferences toward different mobile app characteristics. We find that app demand increases with the in-app purchase option wherein a user can complete transactions within the app. On the contrary, app demand decreases with the in-app advertisement option where consumers are shown ads while they are engaging with the app. The direct effects on app revenue from the inclusion of an in-app purchase option and an in-app advertisement option are equivalent to offering a 28% price discount and increasing the price by 8%, respectively. We also find that a price discount strategy results in a greater increase of app demand in Google Play compared with Apple App Store, and app developers can maximize their revenue by providing a 50% discount on their paid apps. Using the estimated demand function, we find that mobile apps have enhanced consumer surplus by approximately $33.6 billion annually in the United States, and we discuss various implications for mobile marketing analytics, app pricing, and app design strategies. This paper was accepted by Alok Gupta, special issue on business analytics.

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Attitude objects have been shown to play an important role in attitude functions, with attitudes toward some objects or products serving primarily a single function. These findings imply that products constrain the effects of other variables (e.g., personality differences) on attitude functions. Our experiments investigated whether differences in the functions of high and low self‐monitors' product attitudes will emerge for some product categories but not for others. In Experiment 1, high and low self‐monitors described their attitudes toward products previously identified as serving predominantly utilitarian, social identity, or multiple functions. Coding of attitude descriptions revealed that, for social identity products, high self‐monitors explained their attitudes in more social terms and in less utilitarian terms than did low self‐monitors. However, for utilitarian and for multiple function products, high and low self‐monitors did not differ in their (strongly utilitarian) explanations of their attitudes. In Experiments 2 and 3, high and low self‐monitors wrote advertisements for various products. When advertising multiple function products, high self‐monitors preferred to use social arguments, whereas low self‐monitors preferred to use utilitarian arguments. However, both high and low self‐monitors preferred utilitarian arguments for advertising utilitarian products and social arguments for social identity products. The conditions under which self‐monitoring had its greatest impact on attitude functions are discussed in terms of differences between the task of attitude description (Experiment 1) and persuasive message selection (Experiments 2 and 3).

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The Korean Society of Nephrology (KSN) launched a nationwide official survey program about dialysis therapy in 1985. Nowadays, the accumulated data for 30 years by this “Insan Prof. Min Memorial end-stage renal disease (ESRD) Registry” program have been providing the essential information for dialysis clinical practice, academic nephrology research, and health management policy. We reviewed 30 years of data to identify important changes and implications for the future improvement of dialysis therapy in Korea.Hemodialysis patients, especially diabetics and elderly patients have increased in number very rapidly during recent years in Korea. The Korean prevalence rate of ESRD patients was about 70% of the United States and about 50% of Japan according to the international comparisons in the annual data report of United States Renal Data System. The blood pressure control, anemia control, and dialysis adequacy have continuously improved year by year. The importance of calcium and phosphorus control has also been increasing because of the increase in long-term dialysis patients. In addition, chronic dialysis complications should be closely monitored and dialysis modifications, such as hemodiafiltration therapy, might be considered. Because of the increase of private clinics and nursing hospitals in dialysis practice, the role of dialysis specialists and continuing education are thought to be essential. For strict cost-effective dialysis control of increasing elderly, diabetic, and long-term dialysis patients, the KSN ESRD patient registration should be run by the KSN and health ministry in cooperation, in which the dialysis fee reimbursement should be accompanied.

Drawing on the rational addiction framework, this study explores the digital vulnerabilities driven by dependence on mobile social apps (e.g., social network sites and social games). Rational addicts anticipate the future consequences of their current behaviors and attempt to maximize utility from their intertemporal consumption choices. Conversely, myopic addicts tend toward immediate gratification and fail to fully recognize the future consequences of their current consumption. In lieu of conducting self-report surveys or aggregate-level demand estimation, this research examines addictive behaviors on the basis of consumption quantity at an individual level. To empirically validate rational addiction in the context of social app consumption, we collect and analyze 13-month, individual-level panel data on the weekly app usage of thousands of smartphone users. Results indicate that the average social app user conducts herself in a forward-looking manner and rationally adjusts consumption over time to derive optimal utility. The subgroup analysis, however, indicates that substantial variations in addictiveness and forward-looking propensities exist across demographically diverse groups. For example, addictive behaviors toward social network sites are more myopic in nature among older, less-educated, high-income groups. Additionally, the type of social app moderates the effects of demographic characteristics on the nature of addictive behaviors. We provide implications that policymakers can use to effectively manage mobile addiction problems, with the recommendations focusing on asymmetric social policies (e.g., information- and capacity-enhancing measures).