IQWSonstigeZeitschriftenartikel
M. Gebhardt, S. Schwab, M. Krammer, Andreas Gegenfurtner
General and special education teachers' perceptions of teamwork in inclusive classrooms at elementary and secondary schools
Journal of Educational Research Online, vol. 7, no. 2, pp. 129-146
2015
Abstract anzeigen
In inclusive classrooms teamwork and collaboration between general teachers and special education teachers are among the most important factors for stu-dent achievement. Yet, to date, little evidence exists on how teacher collaboration is implemented and whether general and special education teachers value their collaboration equally. The current study analyzes teacher collaboration in inclusive classrooms at elementary and secondary school levels. Participants were 191 general teachers and 130 special education teachers. The results suggest that all teachers were satisfi ed with their teamwork; differences between general and special education teachers were non-significant. Elementary school teachers had more positive perceptions than secondary school teachers. These findings are discussed in terms of their theoretical significance and their practical relevance for teacher education in inclusive classrooms.
SonstigeVortrag
Paul Komberec
Realization and Implementation of an automated Forecast and Disposition System for reducing food waste in retail industry
1. Bayerisch-Tschechische Wissenschaftskonferenz "Datenanalyse", Jindřichův Hradec, Tschechische Republik
2015
SonstigeVortrag
Marion Kohlmeier
Big Data in the Supply Chain Management
1. Bayerisch-Tschechische Wissenschaftskonferenz "Datenanalyse", Jindřichův Hradec, Tschechische Republik
2015
SonstigeVortrag
Nari Arunraj
Time Series Sales Forecasting in Food Retail Industry
1. Bayerisch-Tschechische Wissenschaftskonferenz "Datenanalyse", Jindřichův Hradec, Tschechische Republik
2015
NachhaltigSonstigeZeitschriftenartikel
Nari Arunraj, Diane Ahrens
A Hybrid Seasonal Autoregressive Integrated Moving Average and Quantile Regression for Daily Food Sales Forecasting
International Journal of Production Economics, vol. 170, no. Part A, pp. 321-335
2015
DOI: 10.1016/j.ijpe.2015.09.039
Abstract anzeigen
In the retail stage of a food supply chain, food waste and stock-outs occur mainly due to inaccurate forecasting of sales which leads to incorrect ordering of products. The time series sales in food retail industry are characterized by high volatility and skewness, which vary by time. So, the interval forecasts are required by the retail companies to set appropriate inventory policy (reorder point or safety stock level). This paper attempts to develop a seasonal autoregressive integrated moving average with external variables (SARIMAX) model to forecast daily sales of a perishable food. The process of fitting a SARIMAX model in this study involves: (i) the development of Seasonal Autoregressive Integrated Moving Average (SARIMA) model and (ii) combining the SARIMA model and the demand influencing factors using linear regression. As the SARIMAX using multiple linear regression (SARIMA-MLR) model produces only mean forecast, the possibility of underestimation and overestimation is very high due to high service level, peak, and sparse sales in food retail industry. Therefore, a hybrid SARIMA and Quantile Regression (SARIMA-QR) is developed to construct high and low quantile predictions. Instead of extrapolating the quantiles from the mean point forecasts of SARIMA-MLR model based on the assumption of normality, the SARIMA-QR model directly forecasts the quantiles. The developed SARIMA-MLR and SARIMA-QR models are applied in modeling and forecasting of sales data, i.e., the daily sales of banana from a discount retail store in Lower Bavaria, Germany. The results show that the SARIMA-MLR and -QR models yield better forecasts at out-sample data when compared to seasonal naïve forecasting, traditional SARIMA, and multi-layered perceptron neural network (MLPNN) models. Unlike the SARIMA-MLR model, the SARIMA-QR model provides better prediction intervals and a deep insight into the effects of demand influencing factors for different quantiles.
MobilSonstigeZeitschriftenartikel
Marc Türnau
Assessing the impact of long-term mobility choice motivation and short-term mobility means connotation on the use intention of electric cars in rural areas
Transportation Research Part A: Policy and Practice, vol. 75, no. May, pp. 16-29
2015
DOI: 10.1016/j.tra.2015.03.006
Abstract anzeigen
In this study several hypotheses comprising a heuristic framework derived from rational-choice (RC) premises and regarding some potentially influencing variables on future use intention of different vehicle types are tested with a rural area sample. Especially the differentiation between long-term vs. short-term as well as functional/rational vs. extra-functional/emotional motivators is assessed. Results suggest a predominance of functional motivators and rational connotations over extra-functional/emotional ones. The models to check whether short-term or long-term effects dominate did not clearly confirm a predominance of long-term factors as hypothesized. In several regression models a moderating effect of rational short-term connotations on different long-term motivators was found, thus contributing notably to the prediction of future vehicle use-intention. The need for further research and theory-driven modeling is briefly discussed.
IQWSonstigeVortrag
Andreas Gegenfurtner, M. Baker, L. Guérin
Assessing transitions of learning with mixed methods
Symposium (Peer-reviewed)
European Association for Research on Learning and Instruction (EARLI) SIG 4 & SIG 17 Conference, Leuven, Belgien
2014
IQWSonstigeVortrag
Andreas Gegenfurtner, M. Vauras
Mixed methods in motivational research: Are more methods always better?
Symposium (Peer-reviewed)
14th International Conference on Motivation 2014: "Understanding and Facilitating the Passion to Learn", Helsinki, Finnland
2014
SonstigeBeitrag (Sammelband oder Tagungsband)
Marc Türnau
Ausgewählte Ergebnisse einer Befragung von Elektrofahrzeug-MieterInnen
Mobilität, Gesellschaft und Technik, Deggendorf, vol. 1
2014
SonstigeBeitrag (Sammelband oder Tagungsband)
Marc Türnau
Subjektiver Nutzen beim Gebrauch von Elektrofahrzeugen im ländlichen Raum
Liegt die Zukunft der Elektromobilität im ländlichen Raum?, Köln
2014
ISBN: 9783940685841
SonstigeVortrag
Christoph Karon
LBS Innovation Adoption Factors in Germany: An Expert Review
11. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen und Dienste, Darmstadt
2014
SonstigeZeitschriftenartikel
Christoph Karon, S. Kang, H.-D. Yang, K. Lee
Voluntary Adoption of the Upgraded Version of Package Software: Kano's Three Factor Perspective
International Journal of Software Engineering and Its Applications, vol. 8, no. 8, pp. 43-54
2014
Abstract anzeigen
Drawing upon Kano’s three factor model of customer satisfaction, this research investigates the differentiated influences of beliefs on negative and positive attitudes that lead to the intention of using the upgraded version of package software. Particularly, we are interested in MS Office that takes up the status of de facto standard in the office automation software market but has rarely attracted the attention of academia. Our focus is on how users come to move to the new upgraded version of the package software that they are almost accustomed to use through previous versions. We find that result demonstrability enhance all the three beliefs (i.e., basic, performance, and excitement factors), meanwhile trialability and social influence demonstrate the mixed-up impacts on these three beliefs. We also found that all these three factors lead to both the negative and positive attitudes unexpectedly from our hypotheses
.
Meanwhile, we found that positive aspect route starting from compatibility to relative advantage to positive attitude has dominant influence on use intention than the negative aspect does.
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