دانلود رایگان مقاله انگلیسی تاثیر فرآیندهای مدیریت دانش در سیستم های اطلاعاتی - الزویر 2018

عنوان فارسی
تاثیر فرآیندهای مدیریت دانش در سیستم های اطلاعاتی: بررسی سیستماتیک
عنوان انگلیسی
The impact of knowledge management processes on information systems: A systematic review
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
15
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات مروری
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E10111
رشته های مرتبط با این مقاله
مدیریت، مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
مدیریت سیستم های اطلاعات
مجله
مجله بین المللی مدیریت اطلاعات - International Journal of Information Management
دانشگاه
Faculty of Computer Systems & Software Engineering - Universiti Malaysia Pahang - Malaysia
کلمات کلیدی
فرآیندهای مدیریت دانش، سیستم های اطلاعاتی، بررسی سیستماتیک
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.ijinfomgt.2018.08.001
چکیده

ABSTRACT


Knowledge Management (KM) processes play a significant role in the implementation of various Information Systems (IS). Several review studies were carried out to afford a better understanding of the current research trend of KM processes. However, this issue still needs to be examined from other perspectives. It is observed that previous research neglects the examination of KM processes studies with regard to ISs. The current study systematically reviews and sheds the light on KM processes studies related to ISs aiming to provide a comprehensive analysis of 41 research articles published in peer-reviewed journals from 2001 to 2018. The main findings of this study indicate that knowledge sharing is the most frequent KM process studied, followed by knowledge acquisition and knowledge application. Besides, questionnaire surveys were found to be the primarily relied research methods for data collection in the context of KM processes. In addition, 78% of the analyzed studies registered positive research outcomes. In terms of IS type, most of the analyzed studies focused on investigating the impact of KM processes on E-business systems, knowledge management systems, and IS outsourcing, respectively. Additionally, in terms of data collection, the majority of the analyzed studies were primarily focused on the participants who are IS executives/managers. Furthermore, most of the analyzed studies that achieved positive outcomes were carried out in China. To that end, this review study attempts to demonstrate and detail the recent increase in the interest and the advancement made in KM processes research considering ISs studies, which form an essential reference for scholars in KM field.

نتیجه گیری

Conclusion


Previous KM processes review studies afforded a valuable insight into the research trend of KM. Nevertheless, these review studies neglected the analysis of KM processes with regard to their effect on ISs. In this study, we carried out a systematic literature review for KM processes studies related to ISs, attempting to provide a comprehensive analysis of the existing studies and to discuss the implications of analysis results. The present review study revealed 8 new findings. First, knowledge sharing is the most frequent KM process studied, followed by knowledge acquisition and knowledge application, respectively. Second, knowledge sharing was found to positively affecting the adoption, acceptance, and implementation of E-business systems, Knowledge Management Systems, IS outsourcing, ERP systems, blogs, wikis, cloud-based VLE, E-Government services, cloud computing, social web, Google applications, social software, software process improvement, CRM, social media, enterprise crowdsourcing systems, and Collaborative Commerce. Additionally, knowledge acquisition was significantly influencing the adoption, acceptance, and implementation of E-business systems, IS outsourcing, CRM, teachers’ network community, and collaborative commerce. Moreover, knowledge application was positively affecting the adoption, acceptance, and implementation of E-business systems, CRM, and Collaborative Commerce. Third, questionnaire surveys were found to be the primarily relied research methods for data collection in the context of KM processes.


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