Showing 1 - 10 of 22
Purpose: In an era of increasing financial vulnerability, people are not saving enough to either fund their future pension benefits or having precautionary savings. The authors propose that pension knowledge makes people increase their probability of having voluntary pension and banking...
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Prior literature on customer engagement has emphasized the benefits of customer engagement to the firm and mostly ignored the customers' perspective. In contrast, we argue that sustainability of data-driven customer engagement require a dynamic and iterative value generation process involving 1)...
Persistent link: https://www.econbiz.de/10012965672
Social networks and methods for their analysis have attracted considerable interest in various research areas. One type of social networks that has been the subject of extensive analysis, especially in the corporate governance literature, is networks between company directors and firms, between...
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Many argue that digital innovation and innovation in services will be driven by Information and Knowledge Management technologies. This paper investigates a case study on sustainability innovation and more specifically, carbon footprint innovation through Environmental Information Management in...
Persistent link: https://www.econbiz.de/10014187831
Financial markets are very important components of the world economy and at the same time, their structure has changed substantially over the last thirty years primarily due to the use of information and communication technologies. Market monitoring and surveillance is an important process to...
Persistent link: https://www.econbiz.de/10014041940
Spanish Abstract: El propósito de la investigación fue analizar el nivel de innovación de las empresas Latinoaméricanas en el año 2013. La base de datos recolectada para los análisis cuenta con 368 observaciones. Esta muestra se distribuyen en 6 países -30 observaciones de Argentina, 100...
Persistent link: https://www.econbiz.de/10014131891
This paper analyzes recursive and rolling neural network models to forecast one-step-ahead sign variations in gold price. Different combinations of techniques and sample sizes are studied for feed forward and ward neural networks. The results shows the rolling ward networks exceed the recursive...
Persistent link: https://www.econbiz.de/10013121966