The purpose of the paper is to present a cornucopia of approaches and ways of defining, measuring and using the concept of Economic Value Added (EVA). EVA is a financial performance measure that emphasizes the maximization of shareholder value, as opposed to mere maximization of net profit. The...

Die Dissertation untersucht und evaluiert die Auswirkung von der Social CRM Technologienutzung auf die Social CRM Leistung aus einer Unternehmensperspektive. Das Thema ist für die Forschung und Praxis von hoher Relevanz: Zum einen kämpfen Unternehmen noch immer damit, die Vorteile ihrer...

Investigating how to develop information technology (IT) infrastructure that can effectively facilitate knowledge management (KM) activities has been an important research area. To contribute to the theoretical and practical developments in this research area, this study empirically examined the...

This study empirically examines the influence of firm performance on CEO turnover using data of all listed companies on the Korea Stock Exchange, except those in the financial industry, over the period 2000-2012. We control for endogeneity of firm performance by employing the Two-Stage Residuals...

Measuring workers' productivity is important for public policy and private-sector decision-making. Due to a lack of reliable methods to determine workers' productivity, firms often use specific performance measures, such as how different incentives affect employees' behavior. The public sector...

Logistics can be seen as a key competitive factor in the automotive industry due to the rising number of model variants and options. With the increasing importance of logistics (Gunasekaran et al. in Int J Prod Econ 87(3):333–347, 2004), the evaluation of logistics effectiveness and efficiency...

Croatian companies need a new approach that will provide them with sufficient competitive strength, based on business excellence. Focusing only on financial indicators and measures is insufficient. Therefore new concepts should be introduced, especially by large companies that are traditionally...

Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes classifier -- Classification and regression trees -- Logistic regression -- Neural nets --...

Preface -- The evolution of digital analytics and the internet -- Search engines & the internet -- Social media history -- Digital analytics industry players -- Basic web analytics and web intelligence -- Advanced web analytics and web intelligence -- Understanding and working with third-party...