The aim of this study is to analyze factors determining city brand equity (CBE) on the bases
of a systematic literature review (SLR) according to a procedure developed by Tranfield …

Process mining is a relatively new discipline that focuses on gaining process-centric
knowledge from event logs collected by enterprise systems. From an academic standpoint …

Purpose When improving business processes, process analysts can use data-driven
methods, such as process mining, to identify improvement opportunities. However, despite …

Companies are usually overloaded with data that they may not know how to take advantage
of. On the other hand, artificial intelligence (AI) techniques are known to “keep learning” as …

In the last years, process mining has significantly matured and has increasingly been
applied by companies in industrial contexts. However, with the growing number of process …

Industrial Engineering, through its role as design, planning and organizational body of the
industrial production, has been crucial for the success of manufacturing companies for …

Organizations have a vital interest in continuously improving their business processes.
Process analysts can use process mining tools that provide data-driven discovery and …

Recommender systems have been widely applied in several domains to make informed
decisions by recommending items that might be of interest. Considering recommendation …

Purpose New maintenance hypotheses such as lean smart maintenance emphasized
internal integration. Since the maintenance process is not fully integrated with other …

Process mining (PM) comprises a variety of methods for discovering information about
processes from their execution logs. Some of them, such as trace clustering, trace …