Author
Alfred Taudes
Other affiliations: University of Münster, University of Vienna
Bio: Alfred Taudes is an academic researcher from Vienna University of Economics and Business. The author has contributed to research in topics: New product development & Incentive. The author has an hindex of 15, co-authored 103 publications receiving 1299 citations. Previous affiliations of Alfred Taudes include University of Münster & University of Vienna.
Papers published on a yearly basis
Papers
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TL;DR: This paper argues that traditional quantitative approaches to a cost-benefit analysis give only a partial picture of decision situations in IT investment situations, and compares different valuation techniques for this task and discusses their respective advantages and drawbacks.
Abstract: In recent years, the use of option pricing models to support IT investment decisions has been proposed in the MIS literature. In this paper, we discuss the practical advantages of such techniques for the selection of a software platform. First, we argue that traditional quantitative approaches to a cost-benefit analysis give only a partial picture of such decision situations: due to the long planning horizon required because of the time-consuming and resource-intensive implementation process, it is not possible to exactly predict which applications will, in fact, run on the system over time. Thus, the investor is faced with the problem of valuing "implementation opportunities." We then compare different valuation techniques for this task and discuss their respective advantages and drawbacks. The practical advantages of employing such models are demonstrated by describing a real-life case study where option pricing models were used for deciding whether to continue employing SAP R/2 or to switch to SAP R/3.
338 citations
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TL;DR: Methods for evaluating sequential exchange options in order to obtain estimates for the value of software growth options--that is, IS functions that are embedded in an IT platform and that can be employed once the particular base system is installed and their use is economically justified are examined.
Abstract: Today's business environment is characterized by global competition and buyers' markets. Under such conditions, flexible response to changes in the environment is a key success factor for any firm. Consequently, there is increasing pressure for information systems to be readily adaptable to changing business processes. This paper investigates ways of introducing this aspect of IS extendability into quantitative IT investment decision models via the application of real options models. In particular, it examines methods for evaluating sequential exchange options in order to obtain estimates for the value of software growth options--that is, IS functions that are embedded in an IT platform and that can be employed once the particular base system is installed and their use is economically justified. On the basis of these models, we look at the determinants of the value of software growth options and draw general conclusions with regard to decision making in the field of IT investment.
161 citations
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TL;DR: In this article, a two-stage approach for dynamically deriving behaviorally persistent segments and subsequent target marketing selection using retail-purchase histories from loyalty-program members is proposed.
105 citations
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TL;DR: In this article, an integrated stochastic model of purchase timing and brand selection is developed, which incorporates the influence of marketing mix variables, seasonality and trend, and also allows for various individual choice mechanisms.
Abstract: In this paper we develop an integrated stochastic model of purchase timing and brand selection which incorporates the influence of marketing mix variables, seasonality and trend, and also allows for various individual choice mechanisms. Our approach rests on the assumptions of a zero-order choice process, a Poisson timing process and purchase rates following a multivariate Gamma Distribution over the population, the scale parameters of which vary according to marketing activities and time. The resulting model is a Multivariate Polya Process, and the distribution of brand choice probabilities turns out to be a Generalized Dirichlet Distribution. Thus, most currently used zero-order models can be considered to be special cases of this approach. Furthermore, we derive a number of market diagnostics which provide insights into market structure and demonstrate the model's use for marketing strategy simulation. Based on extensive testing of the underlying hypotheses we finally validate the model using empirical data and show that it fits the market in question.
78 citations
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TL;DR: In this article, a decision-support system for dynamic retail pricing and promotion planning is described, which incorporates price, reference price effects, seasonality, article availability information, features, and discounts.
Abstract: The main objective of this report is to describe a decision-support system for dynamic retail pricing and promotion planning. Our weekly demand model incorporates price, reference price effects, seasonality, article availability information, features, and discounts. Building on previous research, we quantify demand interdependencies and integrate the resulting profit-lifting effects into the optimal pricing model. The methodology was developed and implemented at bauMax, an Austrian do-it-yourself retailer. Along with the practical requirements, an objective function was employed that can be used as a vehicle for implementing a retailer's strategy. Eight pricing rounds with thousands of different stock-keeping units have each served as a testing ground for our approach. Based on various benchmarking methods, a positive impact on profit was reported. The currently implemented marketing decision-support system increased gross profit on average by 8.1 and sales by 2.1%.
67 citations
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01 Jan 1995
TL;DR: In this article, Nonaka and Takeuchi argue that Japanese firms are successful precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies, and they reveal how Japanese companies translate tacit to explicit knowledge.
Abstract: How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.
7,448 citations
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TL;DR: In this paper, the effectiveness of a sales promotion can be examined by decomposing the sales "bump" during the promotion period into sales increase due to brand switching, purchase time acceleration, and stockp...
Abstract: The effectiveness of a sales promotion can be examined by decomposing the sales “bump” during the promotion period into sales increase due to brand switching, purchase time acceleration, and stockp...
1,089 citations
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TL;DR: A literature review of quality function deployment (QFD) based on a reference bank of about 650 QFD publications established through searching various sources to serve the needs of researchers and practitioners for easy references of QFD studies and applications, and hence promote QFD’s future development.
1,005 citations
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TL;DR: In this article, the authors classify the literature on the application of big data business analytics (BDBA) on logistics and supply chain management (LSCM) based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations).
938 citations