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A general model based on the DuPont system of financial analysis for identification, analysis and solution of a potential crisis in a business

Kašík, Josef

Abstract

The purpose of this article is to create a general model using the data commonly available in the managerial accounting system for the signalization of a possible potential crisis. The critical level of the input variables influencing the return of equity (ROE) and return on sales (ROS) was theoretically determined based on the DuPont system of financial analysis. To determine actual amount of the input variables for the test of their critical amount in a real company, we considered their average amount based on a simple arithmetic mean. For the real analysis in a potentially threatened company, we considered one month as a time unit for the time interval in a range of 14 months. We determined the average actual amounts of the input variables using confidence intervals. Because of the relatively small sample, we used Student's t-distribution for the construction of confidence intervals of the input variables. An analytical model-based system approach based on analysis of the complex value chain was used. By the means of logical derivations and testing this analytical model-based system approach in a real company, we proved, that this model enables not only to determine the critical level of the input variables leading to a crisis in a business but also to calculate their new adjusted amount, which the business needs to reach so that a potential crisis can be solved. The presented theoretical model was successfully applied to solve a real potential crisis in a particular Czech company which supports the correctness and practical applicability of this general model. There are two main advantages of this model: 1) it can use the data commonly available in the managerial accounting system, 2) this model is generally valid, i.e., it can be used in any business producing goods or services.

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55 ‘ A Gene al Model Based on he DuPon Sys em o Financial Analysis o Iden i ica ion, Analysis and Solu ion o a Po en ial C isis in a Business JOSEF KASIK1 ( co esponding au ho ) and PETR SNAPKA2 1 Assis an P o esso , Depa men o Business Adminis a ion, Facul y o Economics, VŠB-Technical Uni e si y o Os a a, Os a a, Czech Republic, e-mail: jose [email p o ec ed] 2 P o esso , Depa men o Managemen , Facul y o Economics, VŠB-Technical Uni e si y o Os a a, Os a a, Czech Republic, e-mail: pe .snapka@ sb.cz ARTICLE INFO ABSTRACT Recei ed Ma ch 30, 2020 Re ised om Ap il 29, 2020 Accep ed July 12, 2020 A ailable online decembe 15, 2020 The pu pose o his a icle is o c ea e a gene al model using he da a commonly a ailable in he manage ial accoun ing sys em o he signaliza- ion o a possible po en ial c isis. The c i ical le el o he inpu a iables in luencing he e u n o equi y (ROE) and e u n on sales (ROS) was heo- e ically de e mined based on he DuPon sys em o inancial analysis. To de e mine ac ual amoun o he inpu a iables o he es o hei c i ical amoun in a eal company, we conside ed hei a e age amoun based on a simple a i hme ic mean. Fo he eal analysis in a po en ially h ea ened company, we conside ed one mon h as a ime uni o he ime in e al in a ange o 14 mon hs. We de e mined he a e age ac ual amoun s o he inpu a iables using con idence in e als. Because o he ela i ely small sample, we used S uden 's -dis ibu ion o he cons uc ion o con idence in e als o he inpu a iables. An analy ical model-based sys em app oach based on analysis o he complex alue chain was used. By he means o logical de i a ions and es ing his analy ical model-based sys em app oach in a eal company, we p o ed, ha his model enables no only o de e mine he c i ical le el o he inpu a iables leading o a c isis in a business bu also o calcula e hei new adjus ed amoun , which he business needs o each so ha a po en ial c isis can be sol ed. The p esen ed heo e ical model was success ully applied o sol e a eal po en ial c isis in a pa icula Czech company which suppo s he co ec ness and p ac ical applicabili y o his gene al model. The e a e wo main ad an ages o his model: 1) i can use he da a commonly a ailable in he manage ial accoun ing sys em, 2) his model is gene ally alid, i.e., i can be used in any business p oduc- ing goods o se ices. JEL classi ica ion : G01, G32, M21 DOI: 10.14254/1800-5845/2020.16-4.5 Keywo ds : Po en ial c isis, model, DuPon sys em, p o i ma gin, inpu a iables, c i ical le el ELIT Economic Labo a o y T ansi ion Resea ch Podgo ica Mon eneg in Jou nal o Economics Kasik, J., Snapka, P. (2020), “A Gene al Model Based on he DuPon Sys em o Financial Analysis o Iden i ica ion, Analysis and Solu ion o a Po en ial C isis in a Business”, Mon eneg in Jou nal o Economics, Vol. 16, No. 4, pp. 55-66. 56 INTRODUCTION Recen ly, mo e han e e , we ha e ealized he g owing impo ance o he c isis managemen . The numbe o businesses ha will ace c isis immedia ely o in he nea u u e will ce ainly inc ease d ama - ically. The ques ion does no s and i he c isis occu s bu when i occu s. The si ua ion equi es p esen - ing and discussing new app oaches and models o p edic o sol e he c isis. Analy ical ac i i y ocused on he signalling o a po en ial c isis in a business is e y signi ican o he e ec i e decisions o he s akeholde s (Pa en and Deephouse, 2007; Pos e al., 2002). I ’s a ques- ion o e ec i e decision-making ela ed o he u u e business de elopmen wi h an aim o c ea ion an e ec i e alue c ea ion p ocess (Keul, 2009; Wienga en e al., 2015). I ’s also a ques ion o decision- making ela ed o well- imed solu ion o a po en ial c isis based on analy ically ob ained signalling in o - ma ion abou possibili y o i s occu ence. This signalling in o ma ion is e en mo e signi ican i i enables occu ence o adequa e ime space o he o ma ion and ealiza ion o he ac ions enabling sol ing he po en ial c isis. This is especially ele an o po en ial c ises, which can de elop o he nex phases: wa ning signals, acu e s age and ampli ica ion, which can e en lead o a business bank up cy (Tu ne , 1976; Fink, 1986; Mi o and Pea son, 1993; Roux-Du o , 2007). Some app oaches and models o analysing po en ial c ises in a business a e desc ibed in li e a u e. Howe e , hese models usually assume ha a se o da a is app oxima ely no mally dis ibu ed. By his, some businesses, which by hei excessi e alues wi hin ex ao dina y si ua ions may all down o a c i- sis, a e excluded. In addi ion, hese models use his o ical da a, and hus a e no cong uen wi h he ac- ual possibili ies o he solu ion o capi al de elopmen in a business. The capi al de elopmen in a busi- ness is a e lec ion o e ec i eness o non-e ec i eness o he alue-c ea ing p ocess. Hence, he objec- i e o his pape is o c ea e a new o iginal app oach o he signaliza ion o a possible po en ial c isis in an en e p ise. Based on he DuPon sys em o inancial analysis, a new gene al model o iden i ica ion and sol ing po en ial c isis in a business is c ea ed and desc ibed in de ail. 1. THEORETICAL BACKGROUND The e a e wo main app oaches used o analyses o a po en ial c isis in a business. One o he ana- ly ical model-based sys em app oaches how o ob ain in o ma ion associa ed wi h he occu ence o a po en ial c isis in he en e p ise is an app oach based on analysis o he complex alue chain. Kasik and Snapka (2019) desc ibed he unc ional s uc u e o his chain. This chain s a s wi h he de e mina ion o he p oduc s based on he cus ome s’ needs and con inues o he nex sys em elemen s o he alue chain. The aim is o achie e he ou pu e ec o he las elemen (block) a he end o he alue-c ea ing chain, i.e. manu ac u e and sale o he demanded-by-cus ome s p oduc s, and ob ain he sales o he p oduc s being sold (Elsubbaugh and Rose, 2004; Ad o and Mo iceau, 2013; Robe and Laj ha, 2002). The sales, espec i ely hei pa , a e used as own capi al esou ces o he ep oduc ion o ealiza ion o he complex alue chain. In ou case o analyses, i will be a business, which uses a low p oduc ion me hod. In he case o appea ance o ailu es in luencing beha iou o pa icula elemen s o he alue chain, a possible po en ial c isis occu s in his uni o in he business as a whole. The po en ial c isis is signal- ized a he end o he alue chain. I is an insu icien le el o he olume o he p oduc ion and p ima ily o he sales o he manu ac u ed and sold p oduc s in ela ion o he p ice and demanded quan i y o he p oduc . In he gi en ime, i will exp ess i sel in an insu icien amoun o c ea ion o he inancial e- sou ces o he equi ed ep oduc ion o he alue chain in he business. I a business does no c ea e he a ge -expec ed inancial esou ces om i s manu ac u ing and selling ac i i ies, i is in dange o a po en ial c isis. The e o e, a po en ial c isis in a business mani es s wi h he insu icien p o i abili y. Tha is why he e is a need in managemen o he alue chain in a business o ha e an ea ly wa ning sys em o a po en ial c isis. Tha means o ge signalling in o ma ion o analysing and decision-making based on c i ical alues o he inpu a iables, o ming ou pu s om pa icula elemen s o he a iable chain wi h ela ion o he speci ied es ing c i e ion o he ou pu s om hese elemen s. 57 We ocused ou analyses on he businesses ha ensu e he ep oduc ion o hei alue chain by c e- a ing and using hei own capi al. I means ha hey ha e o be p o i able. They ha e o ul il he condi- ion o p o i abili y measu ed by he p o i ma gin a io. This a io is also known as e u n on sales o ROS (Fai ield and Yohn, 2001; Jansen e al., 2012). The p o i ma gin is also one o he a ios o he DuPon sys em decomposing he e u n on equi y o ROE (B ealey e al., 2012; Higgins, 2012; Palepu, 2007; Soliman, 2008). We use he decomposi ion o ROE in he ollowing o m (1): ROE = x x x x (1) whe e EAT means ea nings a e axes, EBT means ea nings be o e axes, EBIT means ea nings be o e in e es and axes, S means sales, A means asse s and E means equi y o he analysed o ganiza ional uni . We conside he e ec i e sale o he gi en p oduc o cus ome s o be a base o he ep oduc ion o he business capi al. We de e mine he c i ical limi s o he inpu a iables based on he educed e u n on equi y (ROE) indica o unde he condi ion ha ROE equals ze o, i.e. ROE = 0 . Wi hin his condi ion, alua ion o he equi y is a he ze o alue as he c i ical le el. As will be speci ied in he nex pa o he pape , he p o i ma gin o e u n on sales (ROS) will be conside ed as he educed o m o ROE. We can use he analy ic c i e ion compa ison sys em o he es o possibili y o a po en ial c isis based on he p ojec analysis while de ining he a ge alues o he alue-c ea ing chain and e alua ing he cou se o ealiza ion o his chain in ela ion o he de ined- o -i a ge s (Lee e al., 2017). Fo he compa ison o he possible esul du ing he cou se o he alue-c ea ing p ocess, i is possible o use in o ma ional knowledge de i ed om he de ined c i e ion o a po en ial c isis. I will be, as was al eady men ioned, de e mina ion and use o he c i e ion le el o he inpu a iables o ming ou pu s o he conside ed elemen s (blocks) o he analysis o he speci ied alue-c ea ing chain. Consequen ly, o ou conside a ions, i will be a p oduc alue chain ealized by a business uni . Wi hin hese analy ical compa isons, i will be speci ica ion o c i e ion-based signalling in o ma ion, namely de e mina ion o he c i ical le els o he inpu a iables o he las elemen o he analysed p oduc alue-c ea ing chain. As was al eady men ioned, he es ing c i e ion o he de e mina ion o he c i ical le els o he inpu a iables will be he p o i ma gin o ROS a io as he educed o m o he ROE a io. In case ha we a e no able o ensu e a leas c i ical le el o p o i ma gin, ealiza ion o he equi y ep oduc ion as a esul o own alue-c ea ing ac i i y canno be pe o med (Balezen is e al., 2018; Kozel e al., 2017). This compa ison p o ides in o ma ion whe he i is necessa y o no o ca y ou changes wi hin he analysed alue-c ea ing chain. I can be bo h a phase o p ojec ion o al eady ealiza ion o he analysed chain. O he wise he e is a h ea o a po en ial c isis si ua ion in his chain. A he weigh signi icance o he ealiza ion o sales om he analysed p oduc in case o he speci ied c isis, a po en ial c isis may be signalized in he whole business. While applying his sys em app oach o he de e mina ion o a po en- ial c isis, i is possible ex an e du ing he a ge p ojec ion o he alue-c ea ing chain o di ec ly in eal ope a i e ime and s uggle o he ealiza ion o co ec i e ac ions o he solu ion o a po en ial c isis in his chain. This is a e y impo an aspec o his analy ic app oach. The second analy ic model-based sys em app oach is based on analysis and e alua ion o agg ega e s a is ical da a iles ela ed o he low o capi al in he business. The da a iles a e based on he applica- ion o inancial a ios, which may be moni o ed in businesses o ob ained om he p ima y business da a associa ed wi h he low o capi al. The inancial a ios a e used wi hin di e en ypes o he inan- cial analyses, including models o he e alua ion o business capi al de elopmen , o example, bank- up cy p edic ion models. One o he analy ical me hods used o he c ea ion o hese models is, o ex- ample, he disc imina ion analysis (Al man, 1983; Boďa e al., 2016; Ka as e al., 2017). The used i- nancial a ios o he e alua ion o capi al de elopmen in he business a e ma ked as disc imina o s. By s a is ic es ing he agg ega e da a in ela ion o he delimi ed disc imina o s and applying he s a is ical- ly known p ocedu es o he de i ed disc imina ion unc ion, i is possible o ank he analysed business among businesses heading in o insol ency and bank up cy o among success ul businesses, i.e. wi h an e ec i e low o capi al. 58 2. METHODOLOGY As a basic es ing c i e ion o he e alua ion o he possibili y o a po en ial c isis occu ence, we use he e u n on equi y c i e ion in a educed o m, i.e. he p o i ma gin (ROS) a io. As was al eady men- ioned, as a c i ical limi associa ed wi h he possibili y o a po en ial c isis, we conside he c i ical limi , a which ROS will equal ze o, i.e. ROS = 0. O cou se, based on he DuPon analysis, he e is also ROE = 0. In his case, he inal ou pu om he analysed alue-c ea ing p ocess causes simple ep oduc ion. Howe e , when changing he le el o inpu a iables in he di ec ion o wo sening he cou se o he alue- c ea ing p ocess, a po en ial c isis in a business can be iden i ied and signalized. No only p o i abili y and alue c ea ion is h ea ened, bu also i he si ua ion is no sol ed p ope ly, he e is a eal isk o he business bank up cy. The alues o he indica o s p esen ed in he o mula (1) a e quan i ied o he de e mined ime. The analysed p oduc is conside ed o be an inpu om he alue-c ea ing chain. I has, howe e , a unda- men al economical meaning o he business e enues (sales) in conside ed p ac ical example. Wi h ega d o he p esen ed ini ial conside a ions, we will be in e es ed in a pa ial a io o he de- composed ROE a io, and ha is he e u n on sales a io in he ollowing o m (2). ROS = (2) I he alue o his a io will be ze o, i.e. ROS = 0, hen i is clea ha he alues o he o he a ios in he DuPon sys em canno a ec he esul ing alue o he o al ROE a io. I s alue will be a he ze o le el, i.e. ROE = 0. Tha is why o he nex conside a ions, we will go analy ically om his a io unde he c i e ion condi ion ha ROS = 0. A e ha ing inse ed he a iables in o he o mula (2), we will ge i in a o m (3). ROS = 1 - (3) whe e p is he a e age p ice, o which he analysed p oduc is being sold in mone a y uni s pe piece, i.e. [m.u./pc] o he e alua ed pe iod o ime, Q is he a e age p oduced and sold quan i y o he ana- lysed p oduc in pieces o he e alua ed pe iod o ime, i.e. [pc/ ], FC is he a e age le el o ixed ( ela- i ely ixed) cos s o he e alua ed pe iod o ime in mone a y uni s pe pe iod o ime, i.e. [m.u./ ], and is he a e age le el o he uni a iable cos s in mone a y uni s pe piece, i.e. [m.u./pc] o he e alua ed pe iod o ime. In ou example, we conside a pe iod o one mon h wi hin he whole pe iod o he de e mina ion o he a e age amoun o alues o he inpu a iables. I is necessa y o dec ease he es ing pe iod wi h ega d o he possible g ow h o equency o ailu es in he alue chain, which can ini ia e a new c isis. The c i ical le el o hese a iables will be de i ed wi hin ul ilmen o he condi ion o a po en ial c i- sis in he analysed o ganiza ional uni , i.e. o ROS = 0. They will be conside ed o be signalling in o - ma ion o a po en ial c isis in he analysed o ganiza ional uni . The i s ask will be de i a ion o he c i ical amoun o he inpu a iables de e mining he le el o ROS unde condi ion ha ROS = 0. In ela ion o he o mula (3) o he de e mina ion o he le el o ROS, i will be hus he delimi a ion o c i ical le el o ou al eady men ioned inpu a iables which we desig- na e as he c i ical le els wi h he ollowing symbolic indexing: (pc); (Qc); (FCc); ( c). I means o he con- di ion ha ROS=0. Consequen ly, we will speci y o mulas o he de e mina ion o he c i ical le el o pa icula a iables, namely: a) c i ical amoun o he inpu a iable (p), i.e. (pc) pc = + A (4) b) c i ical amoun o he inpu a iable (Q), i.e. (Qc) 59 Qc = (5) c) c i ical amoun o he inpu a iable (FC), i.e. (FCc) FCc = (pA – A) . QA (6) d) c i ical amoun o he inpu a iable ( ), i.e. ( c) c = pA - (7). I one o he abo e-men ioned inpu a iables achie es he ac ual amoun de e mined acco ding o he o mulas om (4) o (7), hen his in o ma ion signalizes a po en ial c isis. A e age alues om he da a ile o he achie ed alues o hese a iables in he analysed business uni will be applied o he de e mina ion o a c i ical amoun o he inpu a iables. Tha is why we designa e he alue o hese a iables in he o mulas om (4) o (7) by index (A) as he ac ual alues, i.e. pA, QA, FCA, and A. I also can be a le el de e mined, o example, based on s a egic analysis. F om he abo e-men ioned o mulas (4) o (7) and ela ions o pa icula inpu a iables, i is clea how he alue o he inpu a iable a ec s his c i ical amoun . To sol e a po en ial c isis in he analysed uni , he e is impo an in o ma ion abou a “sa e y gap” ( ese e) in he amoun (Sg). This in o ma ion is gi en by he di e ence o he ac ual amoun o he pa icula inpu a iable and i s c i ical le el. I means ha o sepa a e inpu a iables he sa e y gap ( ese e) is alid unde he ollowing condi- ions: − o he a iable (p), he gap (Sgp) is eal, when i is ue ha pA – pc ˃ 0, i means ha , o example, he ac ual p ice o he p oduc can decline in he ma ke in ime up o he c i ical alue o he p ice; he amoun o he ese e is hen Sgp = pA – pc; − o he a iable (Q), he gap (SgQ) is eal, when i is ue ha QA – Qc ˃ 0, i means ha , o example, he ac ual p oduc ion and sale o he espec i e p oduc can decline in he ma ke du ing a ime up o he c i ical amoun o p oduc ion; he amoun o he ese e is hen SgQ = QA – Qc; − o he a iable (FC), he gap (SgFC) is eal, when i is ue ha FCA – FCc ˂ 0, i means ha he c i ical amoun o he ixed cos s ( ela i ely ixed cos s) is highe han ac ual one. I means ha in he delim- i ed pe iod o ime ixed cos s can inc ease as a esul o si ua ion in he ma ke , o example due o he pu chase o se ices o ope a ion. The ac ual amoun o ese e is hen gi en by a di e ence in absolu e alue be ween he ac ual amoun o he ixed cos s and hei c i ical amoun , i.e |FCA – FCc| = SgFC; − o he a iable ( ), he gap (Sg ) is eal, when i is ue ha A – c ˂ 0, i means ha he c i ical amoun o he a iable cos s pe uni is highe han he ac ual amoun o he a iable cos s pe uni . Wi hin he delimi ed ime, he a iable cos s pe uni can g ow due o he si ua ion in he ma ke . The amoun o ese e is hen gi en by a di e ence in absolu e alue be ween he a iable cos s pe uni in hei ac ual le el and hei c i ical amoun , i.e. | A – c| = Sg . To de e mine ac ual amoun o he inpu a iables o he es o hei c i ical amoun , we conside ed hei a e age amoun based on a simple a i hme ic mean. Fo he analysis, we conside ed one mon h as a ime uni o he ime in e al in a ange o 14 mon hs. We de e mined he a e age ac ual amoun s o he inpu a iables using con idence in e als. Because o he ela i ely small sample, we used S uden 's -dis ibu ion o he cons uc ion o con idence in e als o he inpu a iables (Rémilla d, 2013; F eund and Wilson, 2003). The s anda d e o o he mean (δ) can be de e mined using he o mula (8). δ = . p = µ - m (8) 60 whe e s is he sample s anda d de ia ion, n is numbe o inpu da a, p is a S uden - andom a iable wi h (k) deg ees o eedom (whe eas k = n -1) a he speci ied con idence le el, m is he sample mean, µ is he es ima ed sample mean in ela ion o he s anda d e o o he mean (δ). The sample mean (m) can be de e mined wi h he help o he ollowing o mula (9): m = , (9) whe e (xi) a e alues o inpu da a o he sample and he sample s anda d de ia ion can be de e mined using he o mula (10). (10) Based on o mula (8), i is possible o de e mine a con idence in e al, namely om he o mula (11). µ = m ± . p (11) The o mula (11) can be ans o med o he ange o m (12): µ є <m - . p; m + . p˃ (12) whe e µmin = m - . p and µmax = m + . p. In ou case, hese o mulas will be used o he de e mina ion o ac ual a e age alues o he inpu a iables o he calcula ion o he c i ical le els o he a iables o he signaliza ion o a po en ial c isis. I means ha hese will be inpu da a on he basis o an a i hme ic mean (µ) in in e al (µmin) and (µmax). Fo example, an a e age p ice will be de e mined in an in e al (µ), namely in he amoun o (pAmin) and (pAmax). Fu he we will calcula e he in e als o ac ual a iables, namely o he quan i y o p oduc ion (QAmin) and (QAmax), o he ac ual le el o he ixed cos s (FCAmin) and (FCAmax) and o he ac ual le el o he uni a iable cos s ( Amin) and ( Amax). By using his analysis, we ge wo possible s a is ically-de i ed limi s o he de e mina ion o he c i - ical amoun s o inpu a iables, namely (pcmin) and (pcmax), (Qcmin) and (Qcmax), (FCcmin) and (FCcmax), and ( cmin) and ( cmax). We can use he a e age alues o he inpu a iables as ac ual alues o a speci ied pe iod o ime in case o a ela i e ma ke s abili y. I we ind ou ha he e a e signi ican changes o ailu es in he ma ke , i is necessa y o use he ac ual alues o he inpu a iables o he consequen ial analysis wi h he e alua ion o he possibili y o a po en ial c isis. 3. MODEL-BASED DETERMINATION OF THE POSSIBILITY OF SOLUTION OF THE RE- AL POTENTIAL CRISIS In his chap e we will speci y he analy ical p ocedu e o model-based de e mina ion o he possibil- i y o solu ion o he eal po en ial c isis. I means ha a leas one o he inpu a iables a ec ing he le el o ROS achie es such an ac ual le el ha i will cause a dec ease o ROS below he c i ical le el o ROS = 0. This will change he heo e ical po en ial c isis o he eal po en ial c isis wi h a possibili y o ans e up o a eal c isis in case ha he occu ed si ua ion is no sol ed. I means ha he ac ually achie ed le el o ROS will be lowe han 0, i.e. ROS < 0. 61 Occu ence o his si ua ion, as was al eady men ioned, can be caused by a change o he o iginal ac ual alue o he inpu a iables de e mining he le el o ROS o a le el, which can be desc ibed as a new ac ual le el . These inpu a iables om he poin o iew o hei le el will be hen symbolically in- dexed as pNA, QNA, FCNA, and NA. The eal po en ial c isis will occu wi h ela ion o he conside ed e alua ing c i e ion, i.e. ROS < 0. Fo example, i means o a p ice inpu a iable ha he le el o new ac ual le el pNA will decline in ela- ion o he p io ac ual le el pA ha his decline ini ia es a si ua ion when ROS < 0. The e is a new si ua- ion in a business ha he amoun o di e ence |pNA – pA| = Δcs, i.e. c isis-signi ican di e ence which leads o a si ua ion ha ROS < 0. Then we can desc ibe he le el o he inpu a iable pNA < pc as c i ical and we can symbolically index i as (pc ). In case ha he di e ence is lowe han Δcs, he e is a ese e in ela ion o he c i ical le el o his a iable (pc ). In he same way, i is possible o conside he o he inpu a iables in luencing he achie ed le el o ROS wi hin he analysed alue-c ea ing chain. 3.1 Model-based solu ion o he eal po en ial c isis Now we will speci y he p oposed possible solu ion o a eal po en ial c isis in a pa icula business uni . I means a si ua ion in he business, when new ac ual le el o any inpu a iable o a iables a ec - ing he le el o he achie ed le el o ROS leads o a si ua ion ha ROS < 0. We will p opose ia modelling a co ec i e analy ical solu ion o he eal po en ial c isis in he business o achie e ul ilmen o he c i i- cal condi ion o he po en ial c isis, i.e. ROS = 0. The achie emen o he s a us o ul ilmen o his condi ion will be de i ed by means o p ojec ion wi h a necessa y co ec ion in he le el o some o he a iables, which in luence he le el o ROS. The designed amoun o he co ec ed (adjus ed) le els o he inpu a iables could be symbolically indexed as pAD, QAD, FCAD and AD. Any changes o he le el which a e highe han he le el which is necessa y o mee he condi ion ROS = 0, i.e. he le el which is newly de ined ia co ec ion o he pa icula inpu a iable, leads o such a si ua ion ha he le el o ROS is highe han 0 (ROS ˃ 0). The co ec i e chang- es o he le el o he inpu a iables o he solu ion o a eal c isis si ua ion ( o example, a he le el o he p oduc p ice) may be conside ed in he ollowing s uc u e: a) we will ca y ou analysis o a possibili y wi h a eal p oposal o co ec i e ac ions wi hin one o he emaining inpu a iables a ec ing he le el o ROS; b) we will ca y ou analysis o a possibili y wi h a eal p oposal o co ec i e ac ions in a pa ial amoun o he emaining inpu a iables enabling a solu ion o he si ua ion, a which ROS < 0. A decision o by which me hod i is possible o sol e he eal c isis si ua ion can be made no ea lie ha a e analy ical e alua ion o a ian s wi h ega d o he possibili ies o ealiza ion o he change o inpu a iables. Now, we a e going o speci y a model-based p esen a ion o ela ions o he de e mina- ion o he co ec i e (adjus ing) amoun o he inpu a iables o he analy ical app oach men ioned abo e unde le e a). We will de i e he necessa y co ec i e amoun o he inpu a iable upon achie emen o he ac ual le el o one o he inpu a iables, namely he amoun unde hei c i ical le el. I means ha , o example, in case o a p ice as an inpu a iable unde si ua ion ha pA < pc, j. pA = pc , o i is ue pNA < pc, his means ha pNA = pc . Simila ly, i will be also in case o o he inpu a iables. We a e going o desc ibe analy ical app oach o solu ion o he si ua ion in he ollowing example. The e is a si ua ion in a business ha an amoun o inpu a iable is se in he ma ke , namely he p ice a he le el o pA < pc, i.e. a he le el o pc . We will de i e and es a possible co ec i e solu ion o he occu ed si ua ion, i.e. o he eal exis ence o he c isis condi ions in he business. The de e mina ion o he amoun o he necessa y change in he ac ual amoun o he inpu a iable o he solu ion o he c isis si ua ion ini ia ed by he dec ease o he ac ual amoun o he p ice will be de i ed o an inpu a iable which is he quan i y o he p oduc s being manu ac u ed and sold (Q) wi hin he speci ied ime. I means ha o he co ec i e change o he ac ual amoun wi hin he inpu a iable (Q), i.e. o he le el (QA), i is necessa y o de i e an amoun o hei change, namely he le el (QAD) so ha he minimum c i- 62 e ion-based condi ion was me o he le el o ROS, i.e. ROS = 0. I is he le el o QAD as a newly adjus ed amoun o he quan i y. In ela ion o he o mula (3) o he de e mina ion o ROS, we can de e mine a o mula o he de- e mina ion o he le el o he a iable QAD o he c i e ion ROS = 0 as ollows (see o mula 13) QAD = (13) The newly de e mined le el o p oduc ion and sale o he pa icula p oduc has o be u he es ed o check ha i is achie able om he poin o iew o he p oduc ion and sale. I is a ques ion o applica- ion o he es ing c i e ion Qmax ≥ QAD (14) I means, o example, ha i is possible - ia he maximum possible daily p oduc ion and sale o he p oduc Qmax - o ensu e he speci ied mon hly p oduc ion QAD in he business. I means o ensu e ul il- men o he condi ion (14). In case ha he business is no able o ensu e solu ion o he abo e-men ioned eal c isis, namely in ela ion o he p ice si ua ion, i.e. pA = pc , i is necessa y o ca y ou a es o changing he le el o he nex inpu a iable. Fi s ly, we a e going o de e mine he amoun o FCAD o he change in he le el o he ixed cos s again by he applica ion o he ela ion o he de e mina ion o he amoun o ROS unde he condi ion ROS = 0 a he le el o p ice pc . By using he o mula (3) wi h applica ion o he condi ion ha ROS = 0, he le el o he ixed cos s FCAD can be de e mined acco ding o he o mula (15) in he ollowing o m: FCAD = QA (pc – A) (15) We ha e o es he possibili y o educe he le el o he ixed cos s om he exis ing ac ual le el, i.e. FCA o FCNA o he le el o FCAD wi hin he possible a ian s o he educ ion o hese cos s ia pa icula s uc u al i ems o he cos s. In case ha he business is no able o change he le el o ixed cos s (achie ing he le el FCAD o lowe ), i is possible o conside a solu ion o he si ua ion h ough he uni a iable cos . I means o change he le el o A o he le el o AD. De e mina ion o he le el o he inpu a iable AD can be again ca ied ou by using he o mula (3) wi h he applica ion o he condi ion ha ROS = 0. The o mula o he de e mina ion o he amoun o AD will be as ollows (16): AD = pc - (16) In case o he de e mina ion o an in e al o he a e age alues o he inpu a iables, i.e. by he p esen ed s a is ical de e mina ion o he con idence in e al o he sample mean o he inpu a iables, i is possible o p oceed o solu ion o he abo e-men ioned ask a leas on he basis o he limi alues o he inpu a iables. As o a sequence o es ing he possibili y o sol e a eal c isis on he basis o sui abili y o he change o he ac ual le el o he inpu a iable o he newly adjus ed le el, i is possible o analyse he e ec i eness, ealiza ion possibili y, and isks associa ed wi h he implemen a ion o he p oposed change o he inpu a iable. I means ha easie accessibili y in ealiza ion o he change o he le el o he inpu a iable will be ensu ed o such a iables, which a e mo e e ec i ely con ollable by business. In gene al, businesses can mo e easily in luence hose inpu a iables ela ed o he cos s o p oduc ion. The le el o possibili y o he change o quan i y o p ice depends on he posi ion o he business in he ma ke . I he business has, o example, a monopoly posi ion, a possibili y o ealiza ion o hese chang- es will be easie and mo e ealis ic han in case o i s lowe compe i i eness. To selec one om he analy ically de i ed a ian s o he solu ion o he eal c isis in he business, we can use decision-making analysis based on he de e mina ion o u ili y o he a ian s, including ex- pe de e mina ion o isks o ealiza ion o a pa icula a ian . I means ha we should assess he e- 63 sul ing e ec o applica ion o he pa icula a ian . Wi hin es ing and e alua ing he u ili y and isk o he pa icula a ian , i is necessa y o p oceed sys ema ically wi hin he elemen s o he alue-c ea ing chain. Fo hese analy ical pu poses, i is possible o use a numbe o me hods, which a e also applied wi hin s a egic managemen , o example, he SWOT analysis, inancial analysis, ma ke ing s a egy me hods, op imiza ion me hods, and s a is ics me hods. 4. APPLICATION OF THE SYSTEMIC PROCEDURE OF THE ANALYSIS OF THE POTENTIAL AND REAL POTENTIAL CRISIS In his chap e , we a e going o in oduce a p ac ical applica ion o he p esen ed heo e ical consid- e a ions. B ie ly, we will p esen how o sol e a eal po en ial c isis in a pa icula business. I will be p e- sen ed on he basis o analysis and e alua ion o he p oduc chain. The pa icula solu ion will be ca ied ou wi hin a p oduc o one o he Czech companies p oducing di e en ypes o p oduc s. One o he p oduc s is also a low-p essu e boile o hea ing he single- amily houses and o wa ming wa e . Applica ion o he heo e ical p ocedu es and conside a ions will be p e- sen ed wi hin his p oduc . Inpu alues based on ac ual alues o he de e mina ion o hei a e age amoun o he inpu a iables we e ob ained om he business in o ma ion sys em. To de e mine he c i ical le els o he inpu a iables o he analysed p oduc wi h he aim o ob ain in o ma ion abou he possibili y o a po en ial c isis, we will use he ela ions om (4) o (7) speci ied in he heo e ical pa . The amoun s o he inpu a iables bo h in he ac ual amoun and in c i ical amoun a e p esen ed in he ollowing able (Table 1). We also calcula ed he pe cen age change o he inpu a iables o ge he c i ical le el om he ac ual le el. The pe cen age change is indexed as (p.c.). Table 1 . The amoun o he inpu a iables (ac ual, c i ical) and hei pe cen age change Inpu a iable Ac ual amoun (A) C i ical amoun (c ) Pe cen age change om he ac ual amoun (p.c.) p 14,717 CZK/pc. 13,148 CZK/pc. -11 % Q 2,101 pcs. 1,636 pcs. -22 % FC 11,593,847 CZK 14,899,787 CZK +28.4 % 7,630 CZK/pc. 9,199 CZK/pc. +20.6 % Sou ce: own elabo a ion Da a in he o m o a a io can be in o ma i ely used o he analy ical speci ica ion o he im- po ance o a pa icula e alua ed inpu a iable om he poin o iew o p io i y o possibili y o a po en- ial c isis o he analysed business alue-c ea ing p oduc p ocess. I is ob ious ha he lowe he pe - cen age change (p.c.), he highe he p obabili y o a po en ial c isis wi hin his inpu a iable. The e is he ollowing impo ance o he inpu a iables wi hin he analysed si ua ion: 1) he p ice o p oduc ion (p), 2) he uni a iable cos ( ), 3) he p oduc quan i y (Q), and 4) he ixed cos s (FC). The in e al-based de e mina ion o a possible le el o he a e age ac ual amoun s o he inpu a iables ia applica ion o he o mulas (9) o (12) is possible o he de e mina ion o he c i ical amoun s and consequen ial ana- ly ical solu ion. The p esen a ion o he in e al amoun o he inpu a iables is in Table 2. Table 2 . In e al amoun o he inpu a iables Inpu a iables in he ac ual amoun Minimum in e al amoun (min) Maximum in e al amoun (max) Rela ion o he max and min amoun pA 14,412 CZK/pc. 15,022 CZK/pc. 104.2 QA 1,084 pcs. 3,118 pcs. 287.6 FCA 5,260,812 CZK 17,926,882 CZK 340.7 A 7,498 CZK/pc. 7,762 CZK/pc. 103.5 Sou ce: own elabo a ion