求翻译 求助 翻译得通顺的会追加50-100不等 这是论文的某一段 专业名词比较多 谢谢帮忙了
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求翻译 求助 翻译得通顺的会追加50-100不等 这是论文的某一段 专业名词比较多 谢谢帮忙了
In response to the progresses in IS applications, DeLone and
McLean proposed an updated version in 2003. Service quality
was added to the success model, and the individual impact and
organizational impact were combined into a single variable
named ‘‘net benefits’’. To catch up with the advancements of its
applications, IS not only needs to provide users with information
products but also to meet users’ flexible information require-
ments. Service quality is thus added to the updated model to
measure the service-level success since system quality focuses
more on technology-levelmeasure. Since it is difficult to describe
the multi-dimensional aspects of IS use—mandatory or voluntary use,
informed or un-informed use, effective or
ineffective use, DeLone and McLean further suggested that
‘‘intention to use’’ may be adopted as an alternative measure for
IS use in some contexts. Certain net benefits can occur as results
of IS use or intention to use and user satisfaction.
The impact that information has on organizational perfor-
mance is difficult to isolate amidst many other factors, both
internal and external to the firm. Some researchers have
attempted to look at the value of technology investments
through quantifiable financial measures such as investment and
ROI, market share, cost, productivity analysis, productivity
paradox, and profitability.
Other studies have investigated relationships between
information systems and qualitative measures, such as
organizational structure, change, efficiency, responsiveness,
coordination, flexibility, increased quality of decision-making,
and increased quality of work life [11,24–27]. Other
researchers have attempted to measure organizational impact
by looking at the result of the IS function, such as measuring the
quality of customer service and assessing the amount of
resulting competitive advantage [26–31].
Net benefits are the most important success measures as they
capture the balance of positive and negative impacts of the ERP
system on organizations. Positive net benefits may encourage
the use intention of ERP system and increase user satisfaction,
while negative net benefits can decrease the intention to use and
IS user satisfaction (Fig. 2).
3. Background and hypothesis development
The ‘‘ERP system experience cycle’’ framework [32] which
is based on Soh andMarkus’ [86] model is adopted to delineate
the ERP adoption process in this study. The framework models
an organization’s experience with ERP systemfrom adoption to
success as moving through four phases characterized by key
players, typical activities, characteristic problems, appropriate
performance metrics, and a range of possible outcomes. This
paper is focused on exploring the project and shakedown phases
of the framework, more commonly known as implementation
phases.
In response to the progresses in IS applications, DeLone and
McLean proposed an updated version in 2003. Service quality
was added to the success model, and the individual impact and
organizational impact were combined into a single variable
named ‘‘net benefits’’. To catch up with the advancements of its
applications, IS not only needs to provide users with information
products but also to meet users’ flexible information require-
ments. Service quality is thus added to the updated model to
measure the service-level success since system quality focuses
more on technology-levelmeasure. Since it is difficult to describe
the multi-dimensional aspects of IS use—mandatory or voluntary use,
informed or un-informed use, effective or
ineffective use, DeLone and McLean further suggested that
‘‘intention to use’’ may be adopted as an alternative measure for
IS use in some contexts. Certain net benefits can occur as results
of IS use or intention to use and user satisfaction.
The impact that information has on organizational perfor-
mance is difficult to isolate amidst many other factors, both
internal and external to the firm. Some researchers have
attempted to look at the value of technology investments
through quantifiable financial measures such as investment and
ROI, market share, cost, productivity analysis, productivity
paradox, and profitability.
Other studies have investigated relationships between
information systems and qualitative measures, such as
organizational structure, change, efficiency, responsiveness,
coordination, flexibility, increased quality of decision-making,
and increased quality of work life [11,24–27]. Other
researchers have attempted to measure organizational impact
by looking at the result of the IS function, such as measuring the
quality of customer service and assessing the amount of
resulting competitive advantage [26–31].
Net benefits are the most important success measures as they
capture the balance of positive and negative impacts of the ERP
system on organizations. Positive net benefits may encourage
the use intention of ERP system and increase user satisfaction,
while negative net benefits can decrease the intention to use and
IS user satisfaction (Fig. 2).
3. Background and hypothesis development
The ‘‘ERP system experience cycle’’ framework [32] which
is based on Soh andMarkus’ [86] model is adopted to delineate
the ERP adoption process in this study. The framework models
an organization’s experience with ERP systemfrom adoption to
success as moving through four phases characterized by key
players, typical activities, characteristic problems, appropriate
performance metrics, and a range of possible outcomes. This
paper is focused on exploring the project and shakedown phases
of the framework, more commonly known as implementation
phases.
好长时间没翻译了,我来试试吧
不过有些专业术语可能翻译的不准确,楼主参考一下吧
基于IS应用进程,DeLone和McLean于2003年 提出了更新版.他们在成功模式中增加了服务质量的内容,并将个人影响和组织影响合并为一个可变名称‘‘净效益’’.为了紧跟其应用的发展,IS不仅需要为用户提供信息产品,更需要满足客户多变的信息需求.由于系统质量更多的专注于技术层面的衡量,因此新的模型中增加了服务质量,用来衡量服务层面的成功性.因为IS使用的多维度不同方面(强制性使用或自愿使用,通知或未通知使用以及有效或无效使用等)很难来描述,DeLone和McLean进一步提出,可采用‘‘使用意图’’作为特殊环境下衡量IS使用的一个备选途径.某些净效益会以IS使用的结果或使用意图以及用户满意度的形式出现.
对公司的内外部来说,信息对组织绩效的影响很难与影响公司组织绩效的其它因素孤立开来.一些研究者已经尝试通过可量化金融方法,如投资及ROI、市场占有率、成本、生产力分析、生产力反合性以及利润率等,来审视技术投资的价值.另外一些研究对信息系统和量化方法(如组织结构、变革、效率、责任性、协作性、灵活性、决策制定质量的提高以及工作生活质量的提高 [11,24–27])之间的关系进行了调研.还有一些研究者尝试通过审视IS职能的效果,如衡量客户服务的质量以及评估结果性竞争优势[26–31],来衡量组织影响. 由于净效益能够捕捉ERP系统对组织的正负面影响的平衡点,因此它是最重要的成功性衡量指标.净正效益能够刺激ERP系统的使用意愿并提高用户满意度,净负效益则会降低使用意愿,降低用户满意度. (Fig. 2).
3. 背景及预期发展
本文采用了基于Soh and Markus’模型 [86]的‘‘ERP系统经验周期’’架构[32]来描述ERP应用过程.该架构模拟了一个组织从应用ERP到成功实行该系统的经历,从四个特征阶段,即主要参与者、典型行为、特征问题、适当绩效体系以及一系列可能产出,进行了相关讲述.本文着重于项目的开发和调整阶段,也就是通常所说的执行阶段
不过有些专业术语可能翻译的不准确,楼主参考一下吧
基于IS应用进程,DeLone和McLean于2003年 提出了更新版.他们在成功模式中增加了服务质量的内容,并将个人影响和组织影响合并为一个可变名称‘‘净效益’’.为了紧跟其应用的发展,IS不仅需要为用户提供信息产品,更需要满足客户多变的信息需求.由于系统质量更多的专注于技术层面的衡量,因此新的模型中增加了服务质量,用来衡量服务层面的成功性.因为IS使用的多维度不同方面(强制性使用或自愿使用,通知或未通知使用以及有效或无效使用等)很难来描述,DeLone和McLean进一步提出,可采用‘‘使用意图’’作为特殊环境下衡量IS使用的一个备选途径.某些净效益会以IS使用的结果或使用意图以及用户满意度的形式出现.
对公司的内外部来说,信息对组织绩效的影响很难与影响公司组织绩效的其它因素孤立开来.一些研究者已经尝试通过可量化金融方法,如投资及ROI、市场占有率、成本、生产力分析、生产力反合性以及利润率等,来审视技术投资的价值.另外一些研究对信息系统和量化方法(如组织结构、变革、效率、责任性、协作性、灵活性、决策制定质量的提高以及工作生活质量的提高 [11,24–27])之间的关系进行了调研.还有一些研究者尝试通过审视IS职能的效果,如衡量客户服务的质量以及评估结果性竞争优势[26–31],来衡量组织影响. 由于净效益能够捕捉ERP系统对组织的正负面影响的平衡点,因此它是最重要的成功性衡量指标.净正效益能够刺激ERP系统的使用意愿并提高用户满意度,净负效益则会降低使用意愿,降低用户满意度. (Fig. 2).
3. 背景及预期发展
本文采用了基于Soh and Markus’模型 [86]的‘‘ERP系统经验周期’’架构[32]来描述ERP应用过程.该架构模拟了一个组织从应用ERP到成功实行该系统的经历,从四个特征阶段,即主要参与者、典型行为、特征问题、适当绩效体系以及一系列可能产出,进行了相关讲述.本文着重于项目的开发和调整阶段,也就是通常所说的执行阶段
求翻译 求助 翻译得通顺的会追加50-100不等 这是论文的某一段 专业名词比较多 谢谢帮忙了
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