[toggle title=”عنوان انگلیسی”]
Towards business intelligence systems success: Effects of maturity and culture on analytical decision making
[/toggle]
[toggle title=”فهرست مطالب”]
چکیده
مقدمه
ابعاد موفقیت سیستم های هوشمند کسب و کار
مفهوم سازی مدل پژوهش
بلوغ سیستم های اطلاعاتی کسب و کار
بلوغ سیستم های هوشمندکسب و کار و کیفیت اطلاعات
استفاده از اطلاعات فراهم شده توسط BIS در فرآیندهای کسب و کار
فرهنگ تصمیم گیری تحلیلی و تاثیر آن بر استفاده از اطلاعات
طرح و روش پژوهش
ابزار پژوهش
جمع آوری داده ها
تدوین مدل اندازه گیری
تحلیل داده ها
نتایج
[/toggle]
[toggle title=”ترجمه چکیده”]
ادبیات سیستم های اطلاعاتی (IS) مدت زیادی است که بر تاثیر مثبت اطلاعات ارائه شده توسط سیستم های هوشمند کسب و کار (BIS) در تصمیم گیری، تأکید دارد به خصوص هنگامی که سازمان ها در محیطی به شدت رقابتی کار می کنند. ارزیابی اثربخشی BIS در درک ما از ارزش و اثر بخشی عملیات و سرمایه گذاری مدیریت، حیاتی است. با این حال، در حالی که موفقیت سیستم های اطلاعاتی به خوبی مورد تحقیق قرار گرفته است، درک ما از چگونگی ارتباط بین ابعاد BIS با یکدیگر و اینکه چگونه آنها بر استفاده از BIS تاثیر می گذارند، محدود است. در پاسخ، ما مطالعه ای مبتنی بر بررسی کمی به منظور بررسی روابط بین بلوغ، کیفیت اطلاعات، فرهنگ تصمیم گیری تحلیلی، و استفاده از اطلاعات برای تصمیم گیری به عنوان عناصر مهم موفقیت BIS خواهیم داشت. تجزیه و تحلیل آماری داده های جمع آوری شده از 181 سازمان متوسط و بزرگ با استفاده از آمار توصیفی و مدل سازی معادله ساختاری ترکیب شده است
[/toggle]
[toggle title=”ترجمه مقدمه”]
بدیهی است به طور کلی مهم ترین پرسش پژوهشی در زمینه فن آوری اطلاعات (IT) / سیستم های اطلاعاتی (IS)، اندازه گیری ارزش کسب و کار آنها [54]، موفقیت آنها و شناسایی عوامل کلیدی موفقیت آنهاست [23]. در زمینه پشتیبانی از تصمیم گیری، سیستم های هوشمند کسب و کار (BIS) راه حلهای تکنولوژیکی هستند که یکپارچه سازی داده ها و قابلیت های تحلیلی رابرای ذینفعان در سطوح مختلف سازمانی ارائه می کنند، و اطلاعات ارزشمندی را برای تصمیم گیری فراهم میآورند [76]. در مقایسه با سیستم های عملیاتی، ارزیابی موفقیت BIS معمولا مشکل تراست زیرا BIS ها، سیستم های سازمانی گسترده ای هستندکه در آنها بیشتر سود، بلند مدت و غیرمستقیم بوده و اندازه گیری آن دشوار است
[/toggle]
[toggle title=”مقدمه انگلیسی”]
Evidently the most important research questions in the field of information technology (IT)/information systems (IS) in general involve measuring their business value [54], their success and identifying critical success factors [23]. In a decision-support context, business intelligence systems (BIS) have emerged as a technological solution offering data integration and analytical capabilities to provide stakeholders at various organizational levels with valuable information for their decision-making [76]. In contrast with operational systems, assessing the success of BIS is usually problematic since BIS are as rule enterprise-wide systems where most benefits are long-term, indirect and difficult to measure [69]. The term business intelligence (BI) can refer to various computerized methods and processes of turning data into information and then into knowledge [51], which is eventually used to enhance organizational decision-making [82]. We distinguish the terms BI and BIS and comprehend BIS (or the business intelligence environment[28]) as quality information in well-designed data stores, coupled with business-friendly software tools that provide knowledge workers timely access, effective analysis and intuitive presentation of the right information, enabling them to take the right actions or make the right decisions. We further understand BI as the ability of an organization or business to reason, plan, predict, solve problems, think abstractly, comprehend, innovate and learn in ways that increase organizational knowledge, inform decision processes, enable effective actions, and help to establish and achieve business goals[80]. Accordingly, processes, technologies, tools, applications, data, databases, dashboards, scorecards and OLAP are all claimed to play a role in enabling the abilities that define BI [80]; however, they are only the means to BI — not the intelligence itself. Much research has been done in the area of assessing IS success [8] with the McLean & DeLone multidimensional IS Success Model [22] and [23] being one of the most often used, cited and even criticized works. Categories such as desired characteristics of the IS which produces the information (i.e. system quality), the information product for desired characteristics (i.e. IQ), and the recipients’ consumption of the information products (i.e. information use) have been referred to as common IS success dimensions [22]. The model emphasizes the understanding of the connections between the different dimensions of IS success. While value (“net benefits” in the McLean & DeLone success model) is the final success variable, use of the system is fundamental for certain “net benefits” to occur. While considerable evidence demonstrates the importance of BI and BIS for organizations, Wixom and Watson suggest the benefits of BIS have not been adequately researched and thus need further attention [84]. Ranjan [65] qualitatively explored the business justifications and requirements for incorporating BI in organizations. Elbashir et al. [27] researched the performance effects of BIS use at the business process and organizational levels. Asserting that the implementation of a BIS is a complex undertaking requiring considerable resources, Yeoh et al. [85] proposed a CSF framework consisting of factors and associated contextual elements crucial for BIS implementation. However, no study has provided an in-depth analysis of BIS success. Consequently, our study’s main objective is to provide a comprehensive understanding of the interrelationships between BIS success dimensions, focusing on the variables affecting BIS use. Different types of IS require specific success models [60] and users prefer different success measures depending on the type of system being evaluated, therefore we adapted the general IS success model to reflect the specifics of BIS. We pay special attention to: a) information quality (IQ); b) the use of information in business processes; and c) the factors affecting the level of use of information, provided by BIS, in business processes and thus the creation of business value. Although IQ is believed to be one of the most important characteristics that determine the degree to which available information is used in organizations, research offers mixed support for the relationship between IQ and its use [60]. IQ generally deals with two main aspects, namely the content of information and its accessibility [29] with different means of BIS impact on the two and with different sets of quality problems that potentially impact information use. Although some of these differences are implicitly recognized in previous IS studies [83], some of the IQ access characteristics have been attributed to antecedents of system quality and the relevance is often not explicitly considered as an IQ dimension. Based on the classification about IS effectiveness provided by Seddon et al. [70], the proposed adaption of the McLean & DeLone IS success model is derived from the managers’/owners’ aspect, aiming to provide value for the organization and it focuses on a type of IT or IT application, in this case on a BIS. This study thus brings novel insights regarding the success of BIS and consequently identifies critical success factors of BIS implementation projects through considering specifics of BIS and the inclusion of different segments of IQ and an analytical decision-making culture in the model. We believe that this work contributes to understanding of the interrelationships between BIS success dimensions. From the aspect of IT development and BIS development, it can be expected that evaluation of such a model and interrelationships between its dimensions enables the understanding of problems and key success factors in implementation. The structure of the paper is as follows. In the next section, the general IS success model is adapted to reflect the specifics of BIS that justify a separate study on BIS. The research model is then conceptualized. The second part of the paper presents the research design, methodology, and results. Finally, the results are discussed, including the implications for BIS theory and practice, while further possible research directions are outlined.
[/toggle]
[toggle title=”منبع”]
Journal : Decision Support Systems, Volume 54, Issue 1, December 2012, Pages 729–739
Publisher : Science Direct (Elsevier)
[/toggle]
[aio_button align=”none” animation=”none” color=”red” size=”small” icon=”none” text=”انجام مقاله علمی پژوهشی و ISI در این زمینه” target=”_blank” relationship=”dofollow” url=”http://payannameha.ir/?p=796″]
[aio_button align=”none” animation=”none” color=”orange” size=”small” icon=”none” text=”دریافت سایر مقالات در این زمینه” target=”_blank” relationship=”dofollow” url=”http://payannameha.ir/?page_id=297″]
[aio_button align=”none” animation=”none” color=”blue” size=”small” icon=”none” text=”انجام پایان نامه در این حوزه” relationship=”dofollow” url=”http://payannameha.ir/?page_id=3206″]
[aio_button align=”none” animation=”none” color=”pink” size=”small” icon=”none” text=”انجام پروپوزال در این حوزه” target=”_blank” relationship=”dofollow” url=”http://payannameha.ir/?page_id=3206″]
فایل مقاله : 11 صفحه PDF
فایل ترجمه : 31 صفحه WORD
سال انتشار : 2012
جهت خرید فایل مقاله و ترجمه فارسی آن بر روی دکمه زیر کلیک نمایید: