… Recently, firms have been able to access to huge data generated through their operations
undertaken in electronic platforms. It is also worthwhile to recognize the role of IT penetration …

… and management of business processes. While there is much discussion around how big
data analytics can impact a firm’s incremental and radical process innovation capabilities, we …

… These include big data, external data of the organisation and internal data of the … In such
circumstances, we posit that business process performance and business decisions serve as …

… An alternative dynamic process data analytics approach called dynamic-inner PCA (DiPCA) …
In our opinion, DiPCA is similar to SFA, in that both methods maximize the dynamic contents …

… depending on the context, big data analytics resources differ in … method on the quantitative
data, we show that there are four different patterns of elements surrounding big data analytics …

… Data was collected from manufacturing firms those have adopted sustainable practices. A …
business process, and customer integration have a significant influence on big data analytics …

… Business process optimization can save significant funds and reduce lead times resulting
in enhanced customer satisfaction levels. It also plays an instrumental role in conserving …

… business report. The objective should be to understand CI in each business process and the
appropriate Big Data approach for … Third, not many company officials disclose their sensitive …

… The DCV, in addition to the acknowledgment of inimitability and synchronization of resources,
processes, and capabilities, emphasizes the dynamicity of resources, business operations…

… With the advent of Big Data Analytics (BDA) alongside the maturity of specific improvement
approaches such as Lean Six Sigma (LSS) and Green Manufacturing (GM), the integration of …