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A Bibliometric Analysis of Research on Big Data and Its Potential to Value Creation and Capture | ||
Interdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies) | ||
دوره 16، شماره 1، فروردین 2023، صفحه 1-24 اصل مقاله (1.51 M) | ||
نوع مقاله: Review article | ||
شناسه دیجیتال (DOI): 10.22059/ijms.2021.319211.674442 | ||
نویسندگان | ||
Saba Abdian1؛ Masuomeh Hosseinzadeh Shahri* 2؛ Ameneh Khadivar2 | ||
1Jheronimus Academy of Data Science (JADS), The Joint Graduate School of Tilburg University and Eindhoven University of Technology, 5211 DA, ‘s-Hertogenbosch, the Netherlands Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran | ||
2Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran | ||
چکیده | ||
The emergence of big data is a radical shift in the business context, leading to a change in value creation and capture. This phenomenon is a newborn concept in the business and management literature confirmed by the growing number of publications over recent years. This paper presents an updating comprehensive bibliometric analysis to describe and assess the scientific landscape of value creation and capture based on leveraging big data in the literature. Bibliometrix and VOSviewer were selected as software tools for descriptive and network bibliometric analysis based on the Web of Science Core Collection database from 2011 until 2020. By implementing bibliometric analysis such as analysis of citations and co-occurrence of keywords, we have recognized the most prominent and influential authors, papers, journals, countries, and four potential clusters of current trends in studies. These four trends of value creation and capture from big data studies are: 1) strengthening the basic knowledge of value creation in the big data era, 2) data-driven business model and value capturing, 3) dynamic capabilities and centrality of knowledge, and 4) digital transformation of the service industry. Finally, by identifying the existing research gaps, future research directions in each cluster are demonstrated. | ||
کلیدواژهها | ||
value creation؛ value capture؛ business model؛ big data؛ bibliometric analysis | ||
عنوان مقاله [English] | ||
تجزیه و تحلیل بیبلیومتریک داده های بزرگ و پتانسیل آن برای ایجاد و اخذ ارزش | ||
نویسندگان [English] | ||
صبا عبدیان1؛ معصومه حسین زاده شهری2؛ آمنه خدیور2 | ||
1آکادمی علوم داده جدز، دانشکده تحصیلات تکمیلی مشترک دانشگاه تیلبورگ و دانشگاه فنی آیندهوون، دن بوش، هلند دانشکده علوم اجتماعی و اقتصاد، دانشگاه الزهرا، تهران، ایران | ||
2دانشکده علوم اجتماعی و اقتصاد، دانشگاه الزهرا، تهران، ایران | ||
چکیده [English] | ||
ظهور کلانداده یک جهش اساسی در حیطه کسب و کار است که منجر به تغییرات بنیادی در ایجاد و اخذ ارزش می شود. این پدیده، یک مفهوم جدید در ادبیات کسب و کار و مدیریت است که در طی سالهای اخیر مورد توجه تعداد زیادی از مقالات قرار گرفته است. هدف از این پژوهش ارائه تحلیل جامع بیبلیومتریک برای توصیف و ارزیابی چشم انداز علمی ایجاد و اخذ ارزش بر مبنای بهره برداری از داده های کلان در ادبیات حاضر است. در این پژوهش، نرم افزارهای VOSviewer و Bibliometrix به عنوان ابزار تحلیلی توصیفی و شبکه ای بر مبنای پایگاه داده Web of Science در طی سال های 2011 تا 2020 مورد استفاده قرار گرفته اند. تحلیل استنادها و همزمانی کلمات کلیدی جهت شناسایی نویسندگان برجسته و تأثیرگذار، مقالات، مجلات، کشورها و چهار خوشه بالقوه از روند مطالعات فعلی صورت گرفت. این چهار خوشه عبارتند از: 1) تقویت دانش بنیادی ایجاد ارزش، 2) مدل کسب و کار مبتنی بر داده و اخذ ارزش، 3) قابلیت های پویا و محوریت دانش و 4) تحلیل تأثیر تحول دیجیتال بر صنعت خدمات. سرانجام با شناسایی شکاف های تحقیقاتی موجود، محورهای تحقیقاتی آتی در هر خوشه نشان داده شده است. | ||
کلیدواژهها [English] | ||
ایجاد ارزش, اخذ ارزش, مدل کسب و کار, کلان داده, تحلیل بیبلیومتریک | ||
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