REGIJSKA ANALIZA GAZEL V SLOVENIJI

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Title:	REGIJSKA ANALIZA GAZEL V SLOVENIJI
Authors:	ID Ojsteršek, Blaž (Author) ID Bradač Hojnik, Barbara (Mentor) More about this mentor...
Files:	UN_Ojstersek_Blaz_2015.pdf (511,22 KB) MD5: 5E1527289B9F48FA8D709F67077EE6DC
Language:	Slovenian
Work type:	Final seminar paper
Typology:	2.11 - Undergraduate Thesis
Organization:	EPF - Faculty of Business and Economics
Abstract:	Dinamična podjetja ali gazele definiramo kot mala rastoča visoko tehnološka podjetja, katera zapolnjujejo tržne niše in z nadaljnjim prilagajanjem celotnega poslovnega procesa obvladujejo nove tržne priložnosti. Leta 1987 je ameriški ekonomist David Birch v knjigi Job Creation in America pri raziskovanju ugotovil, da v ZDA kar dve tretjini rasti ustvarijo mala podjetja, katera zaposlujejo manj kot 20 zaposlenih. V tujini in v Sloveniji gazele predstavljajo gonilno silo razvoja in rasti gospodarstva. Zato v diplomskem seminarju proučujemo hitro rastoča podjetja t.i. gazele. Empirični del je sestavljen iz treh analiz. Prva analiza primerja hitro rastoča podjetja med seboj. Primerjava je pokazala, katero podjetje je bilo najbolj rastoče v svoji regiji v letu 2012 in 2013. Iz analize lahko ugotovimo, da se podjetja po rasti med sabo razlikujejo. Prav tako lahko brez težav opazimo najhitreje rastoča podjetja. Ker na razvoj podjetji ne vpliva samo notranje okolje, v nadaljevanju sledi primerjava na ravni regij v Sloveniji. Slovenija je sestavljena iz šestih regij. Pri primerjavi nas je zanimalo predvsem to, katera izmed regij je najhitreje rastoča v letih 2012 in 2013. Med ugotovitvami je, da je najbolj spodbudno okolje v jugovzhodni regiji, osrednji in spodnje posavski regiji. Manj spodbudno okolje za podjetništvo v Sloveniji je v pomurski, podravski, zasavski in obalno-kraški regiji. V zadnjem delu analize sledi primerjava zlate, srebrne in bronaste gazele z geografskega vidika (glede na regijo in občino) in glede na povprečje v pripadajoči panogi. Iz analize lahko ugotovimo, da največje razlike nastanejo med izbrano gazelo in regijo. Razlike so manjše pri primerjavi gazel z občino in povprečjem v panogi. Iz opisanih analiz razberemo, za koliko se gazele razlikujejo od povprečja in kje so skupne točke gazel. V analizah so bili uporabljeni sledeči kazalniki (dodana vrednost na zaposlenega, čisti dobiček/izguba na zaposlenega, povprečna mesečna plača, čista donosnost sredstev in kapitala, čista dobičkovnost prihodkov iz poslovanja in čista donosnost gospodarjenja).
Keywords:	gazele, dinamična podjetja, geografska primerjava, primerjav gazel z povprečjem v panogi.
Place of publishing:	Maribor
Publisher:	[B. Ojsteršek]
Year of publishing:	2015
PID:	20.500.12556/DKUM-53876
UDC:	005.4
COBISS.SI-ID:	12094492
NUK URN:	URN:SI:UM:DK:QIHZEOPR
Publication date in DKUM:	21.10.2015
Views:	1575
Downloads:	236
Metadata:
Categories:	EPF
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Secondary language

Language:	English
Title:	REGIONAL ANALYSIS OF FAST GROWING COMPANIESIN IN SLOVENIA
Abstract:	Dynamic companies or gazelles are defined as small, technological growing companies that fill market niches and control new marketing opportunities, with further adjusting of business process. In 1987, American economist David Birch established, that two thirds of growth are managed by small companies with less than 20 employees. Gazelles are presenting economy’s driving force of growth and development in foreign countries, and in Slovenia. Therefore, we are researching fast growing companies; gazelles. Empirical part consists of three analyses. The first analysis compares fast growing companies, which indicated the fastest growing company of 2012 and 2013 in its region. From this analysis we established that the companies differ in growth. We can also verify the fastest growing companies without any problems. There are many influences, not only inward surroundings, so we made the comparison of Slovene’s regions. Slovenia consists of 6 regions, so we were mostly interested in the fastest growing one between 2012 and 2013. We can discern the most incentive regions: the southeast, centre and lower Sava valley. However, less incentive enterprise regions are: Mura region, Drava region, central Sava region and Coastal-Karst region. The last analysis is a comparison between gold, silver and bronze gazelle from geographical aspect (according to region and county) and the average of entitled branch. The highest differences are between the chosen gazelle and its region. The differences are smaller between gazelle’s comparison with the county, and branch’s average. We discern gazelle’s divergence from the average and their common points. Within analyses were used consequent indicators: added value of employee, net profit/loss of employee, average income, clear finance and capital lucrativeness, clear business income profitability and clear management lucrativeness.
Keywords:	gazelles, dynamic companies, geographical comparison of gazelles, gazelles’ comparison with the branch’s average.

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