Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
This research paper determines how service supply chains can create value with big data, by building cross-departmental processes. Based on the study’s results, the critical alignment capabilities for successful big data value creation are: IT-process alignment; IT-performance alignment; performance-process alignment; human-IT alignment; and human-process alignment. Additionally, overarching and underlying strategic and organizational alignment capabilities also impacted this value creation. The human impact on employees of big data-led process creation shouldn’t be underestimated.
Originality/value
The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
The arrival of the big data era brings not only opportunities but also challenges to statistics teaching. It is of great significance to explore the statistics teaching mode under the big data environment. Closely following the frontier of Statistics teaching research in the big data environment, this paper combs the literature on statistics teaching research in the big data environment. Through analysis, it is found that the statistics teaching should give consideration to "systematicness" and "pertinence" closely with the pace of the era, constantly cultivate big data thinking, and make good use of statistics, a "sharp tool" for mining data value, so as to better serve social development in the big data environment.
Big Data Value Engineering for Business Model Innovation
