Developing a quality prioritization procedure for IPTV service

This study developed a procedure to determine the quality priorities of the internet protocol television (IPTV) service. First, a set of key elements of IPTV service quality was developed based on a literature review and a focus group interview. Second, analytic hierarchy process and the Kano model were applied to identify the requirements of experts and customers, respectively. The experts measured the importance and difficulty of management, whereas the customers measured the satisfaction level and importance of each quality element. Third, quality priorities were calculated through the entropy principle and scenario-based analysis. The proposed procedure is illustrated with a case study of a telecommunications company in Korea.     

Understanding repeat playing behavior in casual games using a Bayesian data augmentation approach

With an estimated market size of nearly $18 billion in 2016, casual games (games played over social networks or mobile devices) have become increasingly popular. Because most casual games are free to install, understanding repeat playing behavior is important for game developers as it directly drives advertising revenue. Game developers are keenly interested in benchmarking their game versus the market average, and understanding how genre and various game mechanics drive repeat playing behavior. Such cross-sectional analysis, however, is difficult to conduct because individual-level data on competitors’ games are not publicly available, and that the casual gaming industry is highly fragmented with each firm making only a handful of games.I develop a Bayesian approach, based on a parsimonious Hidden Markov Model at the individual level in conjunction with data augmentation, to study repeat playing behavior using only publicly available data. After applying the proposed approach to a sample of 379 casual games, I find that the average daily attrition rate across game is around 36.5%, with an average “play” rate of 47.9%, resulting in an average ARPU (average revenue per user) across games of around 20.5 cents. Certain genres are linked to higher attrition rates and play rates. In addition, giving out a “daily bonus” or limiting the amount of time that gamers can play each day are associated with a 17.7% and 16.4% higher ARPU, respectively.     

Analyst Herding and Stock Price Crash Risk: Evidence from China

We examine the proposition that firms with disproportionately more analysts herding in their coverage, as measured by a larger herding index value, have higher crash risk. Our findings are consistent with the main proposition. The results suggest that information production, rather than monitoring, is the primary mechanism behind the positive relation between herding and crash risk. Our conclusion is robust to different measures of crash risk, crash risk windows, herding measures, subsamples, and instrumental estimation. In addition, using post‐earnings announcement drift, we report that analyst herding slows down bad news transmission in the market. Our findings extend the literature by documenting that analyst herding plays a role in enhancing crash risk. Analyst herding has economic consequences on the covered firms. We offer support for the concern in the literature regarding analyst herding and market fluctuations.     

FDI Location and the Relevance of Spatial Linkages: Evidence from Provincial and Industry FDI in China

In this study both aggregate and industry‐level foreign direct investment (FDI) data are employed to investigate the spatial dependence of FDI hosts. The analysis contributes to the existing literature by focusing on the heterogeneous spatial correlation of FDI in different industries. Using more comprehensive FDI data across multiple industries and multiple provinces in China from 1999 to 2007, the results show a significant spatial correlation among provinces. Aggregate FDI tends to be regional trade platform oriented indicating neighboring provinces become competitors for FDI. In contrast, results based on industry‐level provincial FDI show stronger support for vertical or complex vertical FDI.     

Enhancing television advertising: same-language subtitles can improve brand recall,verbal memory,and behavioral intent

This research explores how same-language subtitles—on-screen text that matches the spoken language—can enhance advertising effectiveness for television commercials on normal viewing audiences outside of foreign-language or deaf-viewer contexts. A preliminary eye-tracker study shows that same-language subtitles capture disproportionate visual attention, and a first study highlights that same-language commercial subtitles can increase brand recall and memory of other verbal ad information. Three further studies using 12 additional ads reinforce the positive effects of subtitles and show how same-language subtitle effectiveness varies with changes in visual and verbal ad complexity. In addition to showing how subtitles can increase behavioral intent, results also highlight how varying subtitle content affects memory gains and illustrate how subtitles can lead to negative effects in the uncommon situation that brand information is missing from the audio. As the efficacy of television advertising becomes increasingly debated, same-language subtitling is a simple way to boost advertising effectiveness.     

Open data in Nepal: a webometric network analysis

This study examines the current open data trends in Nepal based on the webometric analysis method by using search engines to trawl through websites and obtain data. The results indicate that various national and international nonprofit organizations, public sector organizations, educational institutions , and a few commercial organizations were the initial actors fostering open data in Nepal. Therefore, these organizations were analyzed in terms of their networking patterns and the extent to which they are exposed internationally in cyberspace by using Webometric Analyst 2.0. Inter-linkage analysis, co-mention analysis, and link impact analyses were conducted to explore the networking behavior in the World Wide Web. The results revealed that international organizations (IOs) were strongly interlinked. Nongovernmental organizations (NGOs), government organizations (GOs), and IOs were interlinked, but weakly. In terms of the co-mention network analysis, IOs with IOs were more significant than NGOs with NGOs, GOs, or business organizations because IOs had been working actively for many years, their web presence was high, and they worked in other fields, including open data. A link impact analysis was also conducted using its indicators of seed sites linked to external websites in terms of the estimated number of top-level domains and country-code top-level domains.     

Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation,habit, self-efficacy and trust

Despite the rapid growth of Internet banking (IB), customers in developing countries still hesitate to adopt this technology and its use in the Middle East remains low. This study aims to identify and examine the factors that predict behavioural intention and adoption of IB in Jordan. Four factors – hedonic motivation, habit, self-efficacy and trust – are proposed in a conceptual model. Data was collected by means of a survey with bank customers in Jordan. Structural equation modelling (SEM) was used to analyse the data. The results strongly supported the conceptual model. Further, hedonic motivation, habit, self-efficacy and trust were all confirmed to have a significant influence on behavioural intention. Trust was found to be strongly predicted by both hedonic motivation and self-efficacy. This study provides both academics and practitioners with an insight into the factors that can be used to encourage customer adoption of IB specifically in a Middle East context.