Determinants of big data adoption and success

Nabeel Al-Qirim, Ali Tarhini, Kamel Rouibah

نتاج البحث: Conference contribution

10 اقتباسات (Scopus)

ملخص

This research investigates the large hype surrounding big data (BD) and Analytics (BDA) in both academia and the business world. Initial insights pointed to large and complex amalgamations of different fields, techniques and tools. Above all, BD as a research field and as a business tool found to be under developing and is fraught with many challenges. The intention here in this research is to develop an adoption model of BD that could detect key success predictors. The research finds a great interest and optimism about BD value that fueled this current buzz behind this novel phenomenon. Like any disruptive innovation, its assimilation in organizations oppressed with many challenges at various contextual levels. BD would provide different advantages to organizations that would seriously consider all its perspectives alongside its lifecycle in the pre-adoption or adoption or implementation phases. The research attempts to delineate the different facets of BD as a technology and as a management tool highlighting different contributions, implications and recommendations. This is of great interest to researchers, professional and policy makers.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
ناشرAssociation for Computing Machinery
الصفحات88-92
عدد الصفحات5
رقم المعيار الدولي للكتب (الإلكتروني)9781450352840
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أغسطس 10 2017
الحدث2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 - Jeju Island, Korea, Republic of
المدة: أغسطس ١٠ ٢٠١٧أغسطس ١٣ ٢٠١٧

سلسلة المنشورات

الاسمACM International Conference Proceeding Series
مستوى الصوتPart F132084

Other

Other2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
الدولة/الإقليمKorea, Republic of
المدينةJeju Island
المدة٨/١٠/١٧٨/١٣/١٧

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1712???
  • ???subjectarea.asjc.1700.1709???
  • ???subjectarea.asjc.1700.1707???
  • ???subjectarea.asjc.1700.1705???

بصمة

أدرس بدقة موضوعات البحث “Determinants of big data adoption and success'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا