This paper summarizes the three major transformation paths of the existing production service digitization, marketing model digitization, and industrial digitization. Secondly, it conducts an empirical analysis on the digital transformation of high-tech enterprises. Theories such as Marxism and new institutional economics related to the digital transformation of enterprises are sorted out. Library(nlrx) # Windows default NetLogo installation path (adjust to your needs!): netlogopath <- file.path( "C:/Program Files/NetLogo 6.0.3") modelpath <- file.path(netlogopath, "app/models/Sample Models/Biology/Wolf Sheep ogo") outpath <- file.path( "C:/out") # Unix default NetLogo installation path (adjust to your needs!): netlogopath <- file.path( "/home/NetLogo 6.0.3") modelpath <- file.path(netlogopath, "app/models/Sample Models/Biology/Wolf Sheep ogo") outpath <- file.path( "/home/out") # Setup nl object nl <- nl( nlversion = "6.0.This paper firstly conducts a theoretical analysis on the digital transformation of enterprises. In summary, the nlrx package uses a similar structure as NetLogos Behavior Space but offers more flexibility and additional tools for running reproducible complex model analyses directly from R. By storing all relevant information on simulation experiments, including the output of the model simulations in one class object, experiments can be easily stored and shared. nlrx provides useful helper functions to generate parameter input matrices from parameter range definitions that cover a wide range of parameter exploration approaches. These class objects hold all the information that is needed to run these experiments remotely from R, such as path to NetLogo installation folder, path to the model file and the experiment specifications itself. Instead of defining experiments within NetLogo Behavior Space, experiments are defined in R using the class objects of the nlrx package. The nlrx package utilizes the commandline functionality of Behavior Space to execute NetLogo simulations directly from R. However, in many cases it is useful to store such specifications along with the model output and analyses results in order to enable fully reproducible model analyses. Furthermore, Behavior Space experiment specifications are stored within the NetLogo file and are not easily accessible from R. One limitation of Behavior Space is, that it only supports full-factorial parameter designs, which may not be appropriate for complex model analyses. This experiment tool can be executed via command line in combination with an XML file that contains the experiment specifications, such as runtime, variables, output measurements, stop conditions, and more. NetLogo comes with the built-in experiment tool Behavior Space that allows to setup and execute model simulations with different settings and parameter variations and to collect model output. More details on NetLogo itself are available online: NetLogo online documentation NetLogo is developed and maintained at the Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. NetLogo focusses on implementation of agent-based and spatially explicit simulation models, although system dynamics models are supported as well. NetLogo is a free, open-source and cross-platform modelling environment for simulating natural and social phenomena. The nlrx package provides tools to setup and execute NetLogo simulations from R.
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