本研究探討生產力4.0計畫推進ERP (Enterprise Resource Planning, Gartner Group Inc. 1990)軟體在產業管理系統的關鍵地位。從ERP軟體系統一直未能在企業百分之百順利建置的角度，分析企業在系統軟體導入過程中，內外關係人影響力造成的失效率，探討以羊群行為減低失效率，提升ERP成功比率，期以降低經營管理的沉沒成本。 通常企業要成功導入ERP系統，是取決於有效的專案管理(Loh and Koh, 2004)。而BPR (business process reengineering)是導入ERP系統的關鍵作業標準，例如Oracle的AIM(application, implementation, methodology)、SAP的ASAP(accelerated SAP)、鼎新的TIM(top implementation methodology)和江氏的FIT(fine implementation tool)。在過去24年來卻已緩緩偏離了企業實作科技(operational technology, OT)的基礎，包括經驗與務實(empirical and practice)的運作程序，依靠以資訊科技(information technology, IT)的標準節點為入口導向。 設若BPR標準操作流程，於導入期間重視經驗與務實的影響力，能夠妥適引導轉移(proper piloting migration, PPM)作最佳化適配(adaptation)。則建置和使用ERP系統(system)的策略，是整合網際網路(cyber)的市場價值和實體(physical)的執行績效，達成企業生產力4.0計畫的CPS虛實整合，為運營上帶來一項資產(asset)，而非遺產(legacy)。 / The study investigates possibly raising successful installation rate by Herd Behivor for the software of Enterprise Resource Planning, ERP (Gartner Group Inc. 1990) under Industry 4.0 Project. According to the historical data that reducing available rate of stakeholder influence would drop the sunk cost of information technology management. Usually enterprises in order to get an effectiveness of ERP installation, it depends on whether using proper project management (Loh and Koh, 2004). However, BPR (business process reengineering) was acting a key factor of standard operation procedure under project management in past 24 years, such as the Oracle’s AIM (application, implementation, methodology)、SAP’s ASAP (accelerated SAP)、Digiwin’s TIM (top implementation methodology) and Chiang’s FIT (fine implementation tool) . What failed rate of ERP installation is still high around industry, due to information technology (IT) instead of operational technology (OT). Meanwhile, the BRP could switch over to emphasize the empirical experience of piloting migration (PPM) of ERP on individual business. It would guide an optimal adaptation between operational site and information platform, the strategy of using ERP system is in order to combine both benefits as the marketing value of cyber and the manufacturing productivity of physical. There is the synergy coming from Industry 4.0 Project as well as an asset for the enterprise under a systematic integration of virtual cyber and physical reality.

Made available in DSpace on 2017-07-10T18:34:03Z (GMT). No. of bitstreams: 1 Elisiane Aparecida Antoniazzi.pdf: 1469340 bytes, checksum: e33ddca5da7f42bd80bced8fddd4e830 (MD5) Previous issue date: 2013-05-06 / The aim of this research was to develop empirically a model of wage determination for traditional industry in the South region which is intensive in hand labor and classified as low magnitude in technology, regarding the period of analysis, the time frame of 1996-2010. The discussions in relation to the determination of wages have expanded in the institutional context in recent decades and social importance of (minimum) wage is expressed in its scope as the basic pay of millions of Brazilians, and considering that its variations may have several effects on the functioning of the labor market. In Brazil, the research of the causes of the wage gap is of particular relevance due to the existence of a high income inequality. Regarding the methodology, models have been developed and estimated for wage determination, through panel data, based on data from IBGE and MTE/RAIS. The results demonstrated that the most appropriate estimated model was in the log-log form, which had as explanatory variables: productivity, education and real minimum wage. Regarding the model, the coefficients showed positive signal, indicating a direct relation between endogenous and exogenous variables. In terms of explanatory variables, the one with the highest coefficient was the real minimum wage, as compared with other variables, these were consistent with economic theory, besides contributing to the estimation of this model. / O objetivo geral desta pesquisa foi desenvolver empiricamente um modelo de determinação de salários para a indústria tradicional na região Sul, a qual é intensiva em mão de obra e classificada como baixa magnitude tecnológica, tendo como período de análise o recorte temporal de 1996 a 2010. Os debates em relação à determinação dos salários se expandiram no contexto institucional nas últimas décadas e a importância social do salário (mínimo) se expressa na sua abrangência como remuneração básica de milhões de brasileiros, sendo que suas variações podem ter inúmeros efeitos sobre o funcionamento do mercado de trabalho. No Brasil, a investigação das causas do diferencial de salários tem particular relevância devido à existência da alta desigualdade de renda. Em relação à metodologia, desenvolveu-se e estimou-se alguns modelos para determinação dos salários, por meio de dados em painel, tendo como base de dados o IBGE e o MTE/RAIS. Os resultados obtidos demonstraram que o modelo estimado mais adequado estava na forma log-log, o qual tinha como variáveis explicativas: produtividade, escolaridade e salário mínimo real. Com relação ao modelo, os coeficientes apresentaram sinal positivo, indicando uma relação direta entre as variáveis endógenas e a exógena. Em termos de variáveis explicativas, a que apresentou o maior coeficiente foi a variável de salário mínimo real, já em relação às demais variáveis, estas foram consistentes com a teoria econômica, além de contribuírem para a estimação deste modelo.