How Technology Shapes the Actor-Network of Convergence Services: A Case of Mobile Banking

The continuous advancement of mobile technologies offers an opportunity for mobile carriers and banks to offer mobile banking services. However, such convergence of services from mobile carriers and banks raises many complex issues, particularly because it requires alliances among the actors who have different and sometimes conflicting interests. Using the mobile banking sector in Korea, this paper examines how the alliances between mobile carriers, banks, and other related parties are formed, and analyzes how technology affects competition and collaboration among them when a new convergence service is created by two, previously unrelated industries, in this case, by banks and mobile carriers. In so doing, we use the actor– network theory (ANT). As ANT helps analyze how actors form alliances and enroll other actors including nonhuman actors (i.e., technology) to secure their interests through the use of the technology, there is a fit between ANT and the emergence of new, converged services. This paper shows that it is technology that shapes the actor–network of convergence services, and that competition between banks and mobile carriers in mobile banking is about how to inscribe their interests in a given technology and thereby who can translate customers into their own network

Exploring the characteristics of mobile data service users in Australia

Mobile data services are increasingly important as revenues from voice calling are decreasing for mobile carriers, and there are many predictions that the use of mobile data services will increase in Australia. However, there is little research on the current use of mobile data services. This study explores the characteristics of mobile data service users. We conducted a survey with over 6,000 respondents. The findings show that as in the early stage of the Internet diffusion, age is the most important demographic variable which influences the pattern of mobile data service use. In addition to age, gender and household income have a role in describing each group’s consumption of mobile data services more precisely. We conclude the paper by presenting limitations of the study and outlining some possible future research

Change Point Test for the Conditional Mean of Time Series of Counts Based on Support Vector Regression

This study considers support vector regression (SVR) and twin SVR (TSVR) for the time series of counts, wherein the hyper parameters are tuned using the particle swarm optimization (PSO) method. For prediction, we employ the framework of integer-valued generalized autoregressive conditional heteroskedasticity (INGARCH) models. As an application, we consider change point problems, using the cumulative sum (CUSUM) test based on the residuals obtained from the PSO-SVR and PSO-TSVR methods. We conduct Monte Carlo simulation experiments to illustrate the methods’ validity with various linear and nonlinear INGARCH models. Subsequently, a real data analysis, with the return times of extreme events constructed based on the daily log-returns of Goldman Sachs stock prices, is conducted to exhibit its scope of application

The political economy of standards setting by newcomers: China's WAPI and South Korea's WIPI

In 2004, China attempted to set its national standard for mobile security (wireless LAN authentication and privacy infrastructure (WAPI)) which was to be used for wireless LAN. In 2005, Korea implemented a national standard for the mobile Internet platform (wireless Internet platform for interoperability (WIPI)). This paper examines and compares the two cases in terms of the role of government, characteristics of each standard and the process of standards setting. Despite some similarities of 'aiming for a de jure national standard', 'government-initiated' and 'anticipatory', the outcomes of the two efforts are different. WIPI was ratified in Korea, while WAPI was indefinitely postponed as the national standard and failed to be ratified as an international standard. It is contended here that the different outcomes are attributed to differences in the openness of the standards and of institutional processes of standardization, combined with the government role and the timing of market entry. In the cause of national security, China adhered to the original goal of WAPI; in the WIPI case, compromises were made to satisfy to some extent the various demands from many stakeholders despite the original goal being undermined. The findings from this comparison reinforce findings by previous studies on open standard and open standardization processes. This paper makes a unique contribution in that it first examines the international standards-setting attempts by newcomers, China and Korea, in the race for international standards. They used to be standard adopters but now want to become standard setters. Given the narrowing gap of technological capabilities at the global level and the huge size of markets in countries like China, these standards challenges from newcomers are not one-off episodes, but will happen repeatedly in the future. Further research is required in this area.WAPI WIPI International standards China Korea Standards war

One-class classification-based monitoring for the mean and variance of time series

© 2022 John Wiley & Sons Ltd.This study develops a statistical process control (SPC) chart that simultaneously monitors the mean and variance of general location-scale time series models. Integrating the one-class classification (OCC) technique (the support vector data description (SVDD) particularly), we formulate a nonlinear boundary to enclose in-control observations for detecting structural anomalies. The control limits obtained from SVDD can capture a more sophisticated structural change and are also controllable. We particularly propose a control chart formulated using location-scale residuals. This further enhances our ability to detect shifts in the mean, variance, and various model parameters. The proposed OCC control chart is compared with some traditional charts and is validated by conducting simulations under various circumstances. Moreover, we consolidate applicability in a real data analysis by demonstrating its functionality with the S&P 500 index.N