| Abstract | U radu je opisana evolucija menadžmenta od radnih početaka, preko prvog proučavanja
menadžmenta u drugoj industrijskoj revoluciji pa do neoklasičnog pristupa koji se prilagođava
sve do danas. Henry Ford je bio pionir u mnogočemu, pa tako i u menadžmentu čemu svjedoče
neke od njegovih politika koje su ostale uvriježene u industriji poput 40 satnog radnog tjedna,
U neoklasičnom pristupu veći fokus se stavlja na radnikovo raspoloženje, motivacije, potrebe i
osjećaje. Dok su Weber, Fayol i Taylor bili imena koja su obilježila klasični pristup, Maslow,
Herzberg i McGregor su dali svoje teorije u neoklasičnom pristupu. Strateški menadžment je
još jedna evolucija menadžmenta koji najveći fokus stavlja na, kako i ime govori, strategiji,
kako kratkoročnoj tako i dugoročnoj. Napravljen je uvod u umjetnu inteligenciju, a kasnije je
prikazana njena primjena u riboprerađivačkoj industriji. Navedena su dva problema, sortiranja
srdela i inćuna i predviđanja izlova ribe u uzgajivačkoj industriji, koji su već, ili mogu biti,
uspješno riješeni umjetnom inteligencijom i strojnim učenjem. |
| Abstract (english) | The paper describes the evolution of management from work beginnings, from the first study
of management in the second industrial revolution to the neoclassical approach that has been
adapting to this day. Henry Ford was a pioneer in many ways, including in management, as
evidenced by some of his policies that remained mainstream in industry such as 40 hours of
work week, in A neoclassical approach, greater focus is placed on the worker's mood,
motivations, needs, and feelings. While Weber, Fayol, and Taylor were the names that marked
the classic approach, Maslow, Herzberg, and McGregor gave their theories in a neoclassical
approach. Strategic management is another evolution of management that places the greatest
focus on, as the name suggests, strategy, both in the short and long term. An introduction to
artificial intelligence was made, and later its application in the fish processing industry was
presented. Two problems are listed, sorting sardines and anchovies and predicting the amount
of fish that needs to be caught in the farming industry, which have already, or may be,
successfully solved by artificial intelligence and machine learning |
