مقاله انگلیسی پنجاه سال تحقیق در زمینه مدیریت اطلاعات
ترجمه نشده

مقاله انگلیسی پنجاه سال تحقیق در زمینه مدیریت اطلاعات

عنوان فارسی مقاله: پنجاه سال تحقیق در زمینه مدیریت اطلاعات: تجزیه و تحلیل ساختار مفهومی با استفاده از مدل سازی موضوع ساختاری
عنوان انگلیسی مقاله: Fifty years of information management research: A conceptual structure analysis using structural topic modeling
مجله/کنفرانس: مجله بین المللی مدیریت اطلاعات - International Journal of Information Management
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: مدیریت دانش
کلمات کلیدی فارسی: مدیریت اطلاعات ، مدل های موضوعی ساختاری ، مدل سازی موضوعات ، مدل های تولیدی ، تجزیه و تحلیل متن
کلمات کلیدی انگلیسی: Information management, Structural topic models, Topic modeling, Generative models, Text analytics
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journals List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.ijinfomgt.2021.102316
دانشگاه: University of Bradford, UK
صفحات مقاله انگلیسی: 27
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2021
ایمپکت فاکتور: 8.210 در سال 2020
شاخص H_index: 99 در سال 2021
شاخص SJR: 2.881 در سال 2020
شناسه ISSN: 0268-4012
شاخص Quartile (چارک): Q1 در سال 2020
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E15400
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
نوع رفرنس دهی: vancouver
فهرست مطالب (انگلیسی)

Highlights

Abstract

Keywords

1. Introduction

2. Methods and data

3. Results

4. Discussion

5. Conclusion

CRediT authorship contribution statement

References

بخشی از مقاله (انگلیسی)

Abstract

Information management is the management of organizational processes, technologies, and people which collectively create, acquire, integrate, organize, process, store, disseminate, access, and dispose of the information. Information management is a vast, multi-disciplinary domain that syndicates various subdomains and perfectly intermingles with other domains. This study aims to provide a comprehensive overview of the information management domain from 1970 to 2019. Drawing upon the methodology from statistical text analysis research, this study summarizes the evolution of knowledge in this domain by examining the publication trends as per authors, institutions, countries, etc. Further, this study proposes a probabilistic generative model based on structural topic modeling to understand and extract the latent themes from the research articles related to information management. Furthermore, this study graphically visualizes the variations in the topic prevalences over the period of 1970 to 2019. The results highlight that the most common themes are data management, knowledge management, environmental management, project management, service management, and mobile and web management. The findings also identify themes such as knowledge management, environmental management, project management, and social communication as academic hotspots for future research.

 

1. Introduction

The early research on information management (hereafter, IM) reports that it embraces a variety of organizational activities starting from acquiring and integrating the information from various sources to organizing, structuring, and processing the information and finally, disseminating the information to the right person at the right time in an optimal way (Adelman & Kemp, 1970; Beimesch, 1982; Blazewicz, 1983; Brussaard, 1983, 1988; Carter, 1983; Espejo, 1983; Hoard, 1989; King & Maryanski, 1983; Lavallee, 1983; Narimatsu, 1983; Pollak, 1983; Roberts & Clarke, 1989). A few researchers also report that the IM domain is originated from database management, record management, and data processing management (Trauth, 1989). Unsurprisingly, perhaps, most of the early studies in the late-1970s and early-1980s focused on technical aspects of IM focusing on hardware and software development. During that period, the term information resources management (IRM) was associated with the management of information as well as information technologies, which are used for acquiring, storing, processing, and utilizing the information (Cheng, 1987; McClure & Hill, 1982; McClure, 1981; Otten, 1984; Roberts & Wilson, 1987). Subsequently, IM became an intuitively appealing domain to study, research and practice where the information was no more just a ‘processed data’ but it was regarded as an ‘organizational resource’ requiring effective management as other resources like man, machine, material, and money (Tranfield, 1986; Wilson, 1986). While the IRM concept was predominantly about the management of data to meet an organizational need, it could not cover the broad perspective and objective of information management, which were all about helping people and organizations to access, organize, process and utilize information efficiently and effectively.