Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet

The fair use flat rate is a promising tariff concept for the mobile telecommunication industry. Similar to classical flat rates it allows unlimited usage at a fixed monthly fee. Contrary to classical flat rates it limits the access speed once a certain usage threshold is exceeded. Due to the current global roll-out of the LTE (Long Term Evolution) technology and the related economic changes for telecommunication providers, the application of fair use flat rates needs a reassessment. We therefore propose a simulation model to evaluate different pricing strategies and their contribution margin impact. The key input element of the model is provided by so-called discrete choice experiments that allow the estimation of customer preferences.     

Status Quo and Potential of XBRL for Business and Information Systems Engineering

The paper examines the current state of research as regards the eXtensible Business Reporting Language (XBRL) by using the literature review methodology. The results show that an empirical-quantitative research design is used most of the time. The contributions vary in substance in terms of research on XBRL and research with XBRL. Research with XBRL focuses on the development of conceptual XBRL extensions. Work on XBRL considers, for example, the changes in reporting as a result of XBRL as well as the acceptance and enforcement of financial reporting standards. The results point to open issues and are relevant for research and practice.     

Measuring the cost of liquidity in agricultural futures markets: Conventional and Bayesian approaches

Estimating the cost of liquidity in agricultural futures markets is challenging because bid‐ask spreads are usually not observed. Based on an ability to reflect simulated data from Roll's spread model, we assess the effectiveness of conventional and Bayesian bid‐ask spread estimators under different market conditions. Conventional serial covariance and absolute price change spread estimators appear to be biased. Hasbrouck's Bayesian estimator generates small costs of liquidity whose values depend on the correlation and noise in the data. The absolute value Bayesian estimator is precise and works well under conditions of high levels of noise and correlation usually found in agricultural futures markets. Using data from live cattle (LC) and lean hog (LH) contracts, we find similar patterns of performance that produce economically meaningful cost of liquidity differences.     

The impact of the internet on students’ enhancement of cultural aspects in design projects: a case study on interior design graduation projects,University of Dammam,Saudi Arabia

The paper explores the impact of the internet on students and their enhancement of their Identity and culture in the world of globalization. It is based on two stages; a theoretical background in the literature that provides criteria for examining the issue of the study. Then, the analytical study is done to the collected data. The paper incorporates two methods of data collection; a questionnaire survey to measure the instructors’ perception of how students should reflect the identity and local culture in their projects in the internet era, and statistical analysis of students’ implementation of cultural knowledge and identity features in their graduation projects in the new millennium before the usage of internet in the design education in the interval of 2001–2007 and after the usage of internet the interval between 2008 and 2015. Consequently, the paper is designed to generate both statistical quantitative and qualitative data. Despite the apparent impact of Globalization and internet based education on abandoning individual identity, yet it might lead to opening new horizons in front of dealing with cultural identity and heritage with a contemporary vision that integrates with nowadays architecture and at the same time refer to the unique identity.