Uticaj usaglašenosti modela kvaliteta i poslovnog modela na performanse malih i srednjih preduzeća
ǂThe ǂImpact of alignment between quality model and business model on the performance of small and medium enterprises
Докторанд
Petrović, TijanaМентор
Tadić, DanijelaЧланови комисије
Nestić, SnežanaMisita, Mirjana
Mimović, Predrag
Aleksić, Aleksandar
Метаподаци
Приказ свих података о дисертацијиСажетак
Unapređenje poslovanja preduzeća i ostvarivanje održive konkurentske prednosti na
tržištu predstavlja zadatak svakog menadžmenta. Modeli kvaliteta i poslovni modeli
predstavljaju osnov za identifikaciju slabosti, pružajući preporuke za bolje
poslovanje. U akademskom kontekstu, modeli kvaliteta i poslovni modeli
predstavljaju različite pravce istraživanja koja se bave unapređenjem poslovanja
preduzeća. Usaglašenost ovih modela može rezultirati značajnim koristima i
poboljšanjem poslovnih performansi. Ovakav pristup omogućava stvaranje sinergije
između kvaliteta proizvoda i poslovnih strategija, čime se postiže efikasnost,
konkurentska prednost i održivost preduzeća na tržištu.
U okviru ove doktorske disertacije razvijeno je tri modela. Prvi model za ocenu
kvaliteta i rangiranje preduzeća je zasnovan na EFQM (eng. European Foundation for
Quality Management) modelu poslovne izvrsnosti proširenom sa više-atributivnim
metodama odlučivanja (eng. Multi-Attribute Decision Making-MADAM) koje su... proširene
sa teorijom fazi skupova (eng. Fuzzy Sets Theory-FST). Kriterijumi kvaliteta koji su
preuzeti iz EFQM modela su otežani primenom fazi analitičkog hijerarhijskog
procesa (eng. Fuzzy Analytic Hierarchy Process-FAHP) i fazi metode najbolji-najlošiji
(eng. Fuzzy Best Worst-FBWM) respektivno pri čemu je analizirana osetljivost
rešenja. Na osnovu dobijenih težina kriterijuma rangiranje preduzeća je sprovedeno
primenom fazi metode višeciljne optimizacije zasnovane na analizi odnosa (eng
Fuzzy Multi-Objective Optimization on the basis of Ratio Analysis-FMOORA). Drugi
razvijeni model, model za klasifikaciju komponenti poslovnih modela (KPM) koji je
predložen u okviru ove doktorske disertacije obuhvata sistematizaciju i
klasifikaciju KPM-a u grupe KPM-a primenom metode optimizacije, grananja i
ograničavanja (eng. Branch and Bound – B&B). U okviru trećeg modela je izvršeno
ispitivanje uticaja usaglašenosti modela kvaliteta i poslovnog modela na ključne
indikatore performansi kvaliteta malih i srednjih preduzeća (MSP) primenom
korelacione i regresione analize. Model je zasnovan na rezultatima dobijenim iz
prethodna dva modela i indikatorima perfomansi kvaliteta ključnim za proizvodna
preduzeća iz sektora MSP. Određivanje optimalnog nivoa poboljšanja nivoa
kvaliteta i nivoa prepoznavanja KPM je zasnovan na primeni veštačkih neuronskih
mreža (eng. Artificial Neural Networks- ANN).
Predloženi modeli su testirani i verifikovani na podacima dobijenim od preduzeća
koja posluju na teritoriji Republike Srbije i po svojim karakteristikama pripadaju
sektoru MSP.
Improving business and achieving sustainable competitive advantages in the market
represents the task of every management. Quality models and business models provide the
basis for identifying weaknesses and offering recommendations for better business practices.
In an academic context, quality models and business models represent different directions of
research that deal with improving the business of enterprises. The alignment of these models
can result in significant benefits and improvements in business performance. This approach
allows the creation of synergy between product quality and business strategies, thereby
achieving efficiency, competitive advantage, and the sustainability of enterprises in the
market.
Within this doctoral dissertation, three models have been developed. The first model for
evaluating the quality and ranking of companies is based on the EFQM (European Foundation
for Quality Management) model for business excellence expanded with multi-attribute
decision-ma...king (MADAM) methods, extended with the theory of fuzzy sets (FST). Quality
criteria taken from the EFQM model are weighted using Fuzzy Analytic Hierarchy Process
(FAHP) and Fuzzy Best-Worst (FBWM) methods, respectively, with an analysis of solution
sensitivity. Based on the obtained criteria weights, the ranking of companies is conducted
using Fuzzy Multi-Objective Optimization on the basis of Ratio Analysis (FMOORA). The
second developed model, the model for classifying components of business models (BMCs)
proposed within this doctoral dissertation, includes the systematization and classification of
BMCs into groups using optimization method, branch and bound (Branch and Bound –
B&B). Within the third model, an examination of the impact of the alignment of the quality
model and the business model on key performance indicators of quality for small and
medium-sized enterprises (SMEs) is conducted using correlation and regression analysis. The
model is based on the results obtained from the previous two models and performance
indicators of quality relevant to production companies in the SME sector. Determining the
optimal level of quality improvement and the level of BMCs recognition is based on the
application of artificial neural networks (ANN).
The proposed models have been tested and verified on data obtained from enterprises
operating on the territory of the Republic of Serbia and belonging to the SME sector.