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Descripción
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| In last decades the ¿productivity paradox¿ has been debated ¿ i.e. the empirical observation that high investment in information technology (IT) did not contribute significantly to productivity. Although several studies proved that in general IT has a significant and positive impact on firms output, the variation among different companies is enormous: Given the same large investments in IT, some firms are highly productive while others perform poorly (Brynjolfsson 1998, p. 52). One explanation is that benefits from IT investments have to be leveraged by adequate organizational changes and these adaptations are ¿time consuming, risky and costly¿ (Brynjolfsson 1998, p. 52). Transactional systems such as Enterprise Resource Planning (ERP) systems have been implemented widely while analytical software like Supply Chain Management (SCM) Add-ons are adopted less by manufacturing companies (Patterson 2004, p. 21). In fact, the SCM software market is struggling the last years: The yearly prognosticated growth rates of about 50 % for the supply chain management (SCM) software industry at the beginning of the new century have not been reached. Revenues had fallen more than 10 % in 2001 and for the future only moderate annual growth between 7 and 15 % has been expected until 2010 (Roesgen 2007). SCM software promises high benefits in terms of savings and improvements in customer service level but at the same time accounts for high total cost of ownership. Frost&Sullivan prognosticated that especially sales of Supply Chain Planning (SCP) modules will underperform within the broad market of SCM software (Frost&Sullivan 2007). This type of decision support systems, also called Advanced Planning Systems (APS), belongs to the most expensive solutions due to the sophisticated optimization algorithms and the implementation complexity. However, ¿it is reasonable to believe that the appropriateness of using APS increases when the planning complexity increases¿ (Jonsson 2007, p. 821). | |
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Internacional
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JCR del ISI
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Si |
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Título de la revista
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PHARMAZEUTISCHE INDUSTRIE |
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ISSN
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0031-711X |
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Factor de impacto JCR
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0,155 |
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Información de impacto
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Volumen
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72 |
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DOI
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Número de revista
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8 |
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Desde la página
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1312 |
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Hasta la página
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1320 |
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Mes
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SIN MES |
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Ranking
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