دانلود رایگان مقاله انگلیسی یکپارچگی کلان داده ها با فرآیندهای کسب و کار - امرالد 2017

Abstract

Purpose The purpose of this study is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process innovation (BPI) with big data. It focuses on synthesising research published in the period 2006– 16 to establish both what we know and do not know about this topic, identifying areas for future research. Design/methodology/approach The research is based on a review of 49 published papers on big data, BPM, BPR and BPI in the top journals in the field 2006–16. Findings In this article, we have identified the most influential works based on citations and PageRank methods. Through network analysis we identify four major clusters that provide potential opportunities for future investigation. Practical implications It is important for practitioners to be aware of the benefits of big data, BPM, BPR and BPI integration. This paper provides valuable insights for practitioners. Originality/value This paper is based on a comprehensive literature review, which gives big data researchers the opportunity to understand business processes in depth. In addition, highlighting many gaps in the current literature and developing an agenda for future research, will save time and effort for readers looking to research topics within big data and business processes.

5. Discussion and conclusions

In this study, we present an overview of the distribution of publications on big data and business processes by conducting a bibliometric and network analysis review of articles written during the period 2006–16. To extract relevant studies, we searched for papers in the WoS database using predefined keywords. We screened papers by analysing their titles and abstracts and removed those that violated the inclusion criteria. To provide an overview of big data and business process status, we identified a primary set of 49 articles. The results of our study identify the key contributing authors, countries, affiliations and keywords across a broad spectrum of disciplines.

We can see from the bibliometric results that a large majority of the 49 primary studies were carried out in United States of America (approximately 50%), while only 2–4% were done in Switzerland and Austria. We therefore recommend that these countries should put more research effort into improving their business processes by recognising the potential of big data. Our findings also note that relatively low number of publications have appeared in this field. From Figure 1 we can see a rapid increase in publication numbers in the field of big data and business processes since 2012. This clearly demonstrates a growing interest in this area, which is unsurprising for a relatively new concept.