{"title":"中小企业信息通信技术评价模型与绩效","authors":"A. Bayaga, E. Adu","doi":"10.2478/v10241-012-0023-5","DOIUrl":null,"url":null,"abstract":"Abstract Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in MSEs. Multiple regression, Repeated-Measures Analysis of Variance (RM-ANOVA) and Repeated-Measures Multivariate Analysis of Variance (RM-MANOVA) were performed. The findings of the distribution revealed that only one variable made a significant percentage contribution to the level of ICT operation in MSEs, the Payback method (β = 0.410, p < .000). It may thus be inferred that the Payback method is the prominent variable, explaining the variation in level of evaluation models affecting ICT adoption within MSEs. Conclusively, in answering the two questions (1) degree of variability explained and (2) predictors, the results revealed that the variable contributed approximately 88.4% of the variations in evaluation models affecting ICT adoption within MSEs. The analysis of variance also revealed that the regression coefficients were real and did not occur by chance","PeriodicalId":30599,"journal":{"name":"Journal for Perspectives of Economic Political and Social Integration","volume":"20 1","pages":"24 - 9"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2478/v10241-012-0023-5","citationCount":"0","resultStr":"{\"title\":\"ICT evaluation models and performance of medium and small enterprises\",\"authors\":\"A. Bayaga, E. Adu\",\"doi\":\"10.2478/v10241-012-0023-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in MSEs. Multiple regression, Repeated-Measures Analysis of Variance (RM-ANOVA) and Repeated-Measures Multivariate Analysis of Variance (RM-MANOVA) were performed. The findings of the distribution revealed that only one variable made a significant percentage contribution to the level of ICT operation in MSEs, the Payback method (β = 0.410, p < .000). It may thus be inferred that the Payback method is the prominent variable, explaining the variation in level of evaluation models affecting ICT adoption within MSEs. Conclusively, in answering the two questions (1) degree of variability explained and (2) predictors, the results revealed that the variable contributed approximately 88.4% of the variations in evaluation models affecting ICT adoption within MSEs. The analysis of variance also revealed that the regression coefficients were real and did not occur by chance\",\"PeriodicalId\":30599,\"journal\":{\"name\":\"Journal for Perspectives of Economic Political and Social Integration\",\"volume\":\"20 1\",\"pages\":\"24 - 9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2478/v10241-012-0023-5\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal for Perspectives of Economic Political and Social Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/v10241-012-0023-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Perspectives of Economic Political and Social Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/v10241-012-0023-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
摘要在前人研究(1)信息通信技术(ICT)对中小企业(mse)的影响和(2)运营风险管理(ORM)的基础上,本研究的重点是探讨(1)信息通信技术(ICT)运营风险管理(ORM)与(2)中小企业绩效之间的关系。为了实现这一重点,本研究探讨了理解ICT ORM在中小企业中的价值的评估模型。进行多元回归、重复测量方差分析(RM-ANOVA)和重复测量多变量方差分析(RM-MANOVA)。分布结果显示,只有一个变量对中小微企业的ICT运营水平做出了显著的百分比贡献,即回报方法(β = 0.410, p < .000)。因此,可以推断,回报方法是突出的变量,解释了影响中小企业内部ICT采用的评估模型水平的变化。最后,在回答两个问题(1)可变性程度的解释和(2)预测因子时,结果显示,在影响中小企业内部ICT采用的评估模型中,该变量贡献了约88.4%的变化。方差分析也表明回归系数是真实的,不是偶然出现的
ICT evaluation models and performance of medium and small enterprises
Abstract Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in MSEs. Multiple regression, Repeated-Measures Analysis of Variance (RM-ANOVA) and Repeated-Measures Multivariate Analysis of Variance (RM-MANOVA) were performed. The findings of the distribution revealed that only one variable made a significant percentage contribution to the level of ICT operation in MSEs, the Payback method (β = 0.410, p < .000). It may thus be inferred that the Payback method is the prominent variable, explaining the variation in level of evaluation models affecting ICT adoption within MSEs. Conclusively, in answering the two questions (1) degree of variability explained and (2) predictors, the results revealed that the variable contributed approximately 88.4% of the variations in evaluation models affecting ICT adoption within MSEs. The analysis of variance also revealed that the regression coefficients were real and did not occur by chance