Extracting Best-Practice Using Mixed-Methods | Zendy

Erik Poppe | Zendy; Anastasiia Pika | Zendy; Moe Thandar Wynn | Zendy; Rebekah Eden | Zendy; Robert Andrews | Zendy; Arthur H. M. ter Hofstede | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Extracting Best-Practice Using Mixed-Methods

Author(s) -

Erik Poppe,

Anastasiia Pika,

Moe Thandar Wynn,

Rebekah Eden,

Robert Andrews,

Arthur H. M. ter Hofstede

Publication year - 2021

Publication title -

business and information systems engineering

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.022

H-Index - 44

eISSN - 2363-7005

pISSN - 1867-0202

DOI - 10.1007/s12599-021-00698-9

Subject(s) - best practice , process (computing) , relevance (law) , context (archaeology) , computer science , set (abstract data type) , quality (philosophy) , data science , compensation (psychology) , domain (mathematical analysis) , data mining , knowledge management , management science , process management , engineering , psychology , paleontology , mathematical analysis , philosophy , mathematics , management , epistemology , political science , psychoanalysis , law , economics , biology , programming language , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research