Adoption of Digitalization Tools for Accounting Purposes by SMEs in Tubah Sub Division

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Generally,digitalizationsimplyisabouttransforminganalogueknowledgeandinformationtodigitalstorageform,withtheaimofeasingaccess,usageand exchanges.AccordingtoKane etal. (2015),maturedcompaniesmakeusedofsophisticateddigitaltoolscloud,while lessmaturedcompaniesarealwaysstrugglingwiththe problemsofnonstandardizeddigitaltechnologies,hence experiencinghighchallengesrelatingtoeffectiveness.It thereforeimpliesthattheextentofdigitalizationandthe typeoftoolsadoptedshouldbebasedonthelevelofmaturityoftheenterprise.

AsperWeber(2011),accountingactivityfallsin twogroupings–manualaccountingandcomputerized accountingsystems.Ashighlightedby(Osmond,2011), recentdevelopmentsinaccountingwithsoftwarewhich involvetheuseofcomputershavebeendesignedbuilding fromthetraditionalaccountingsystemwhichwasmanual, makinguseofcalculatorsandbooks.Forsure,theconcept ofaccountinghasevolvedfromtheartofbookkeepingto involveawholeconceptconcerningcommunicatingfinancialinformationaboutabusiness(Boundless,2015;Borhan andNafees,2018).Duetothis,theadoptionofdigitalizationtoolsforaccountingpurposesisgettingmoreand moreimportantasthereportingneedsforfinancialinformationbothinternallyandexternallyisincreasing.There isnodoubtthateveninsoleproprietorships,properrecord keepingisatthecenterofbusinesssuccess,forasexplained byMcbride(2000),computerbasedsystemscangenerate atshortnoticeasneededalltypesofreportsrelatingto thefunctioningoftheaccountingandfinanceservicesof anorganization.

InCameroon,theperiodbefore2010maybeassumed thetimewhenthedigitalizationoftheSMEsectorsnotably thesmallenterprisesthataremostlysoleproprietorships wasstilllowkeyed.Withtheannouncementoftheemergence2035vision,itmaybeassumedthattheperiod commencingintheyear2010canbeviewedasthedigitalizationembracementperiodbyallsectorsintheeconomy includingSMEs.Withthesetwofundamentalassumptions,thisstudyattemptstoestablishifthereareanyeffects onSMEsassociatedwithadoptionofdigitalizationtools foraccountingpurposes,drawingevidencefromTubah SubDivision.

ThereisnothoughtthatinTubahSubDivisionarea asiscommoninotherareasinCameroon,SMEsseemto belackingbehindasconcernsdigitalization.Thisforsure hashadsignificantnegativeconsequencesnotablypoor inventoryandfinancialmanagementresultinginpoorperformanceoftheenterprises.UnderstandingthatinTubah SubDivision,SMEsintermsofsizeandfinancialworth arestillbasicallysmallenterprises,majorityofwhichfall onsoleproprietorshipformofbusiness,thisstudyseeks toexamineeffectbasicaccountingsoftware,invoicing softwareandbusinessbankaccountonaccountingpurposesofSMEs.Asamotivation,thisstudyarguesthat,

ifSMEsadoptdigitalization,itsmanagementofinventory andfinanceswillbebetter-offandthusthestudyfocuses oninvestigatingthesituationatSMESthathavealready adoptedsomeidentifieddigitaltoolstoeaseaccounting purposes.

Onthebasisoftheliteraturereviewed,thestudy guessesthatthoughadoptionofdigitalizationtoolsfor accountingpurposesmighthavebeennotedtohavea positiveeffectonbusinessperformanceinotherareas, thesituationalcharacteristicsandspecificitiesofTubah maymakeownership/useofBasicAccountingSoftware, InvoicingSoftwareandBusinessBankAccounttohaveno significanteffectonaccountingpurposesandhenceperformanceofSMEs.Thisstudythusseekstoexaminethis guessinthecontextofTubahSubDivision.

METHODOLOGY

Inthisstudy,thesurveyresearchdesignmethodologicalapproachwasemployed.Giventhecharacteristicsof Tubah,multi-stagingwasused,withstageoneconcerned withstratificationwhichresultedin4stratanamelyBambili,Bambui,KedjomKekuandKedjomKetingoh.These werethemainbusinessoperationalhubsinTubahSub Division.ThesecondstageinvolveddeterminingthenumberofSMEtobestudiedineachcommunity.Usingobservationaltechniquesandresidentbasedinformants,60 SMEsthathadoperatedforatleast5yearswereidentified andtheseformedthestudysample.Thus,30SMEswere sampledinBambili,20inBambui,5inKedjomKekuand 5inKedjomKetingoh.Usingquestionnaires,observations andinterviews,primarydatawascollectedrelatingtothe operationaluseofBasicAccountingSoftware,Invoicing SoftwareandBusinessBankAccountfororganizational accountingpurposesatthesampledSMEs.Qualitative datacollectedwasanalyzedusingchartswhileregressionanalysiswasemployedforquantitativedata.The modelspecificationemployedforanalysisofquantitative datautilizedAccountingPurposesasadependentvariableagainstindependentvariablesuseofBasicAccounting Software,InvoicingSoftwareandBusinessBankAccount. Themodelspecificationinitslinearformwasexpressed thus:

Y

Where: β0 = istheintercept, βi = parameterestimators;

Y = AccountingPurposesobservedintermsofinformationprovisionforvariedusesbystakeholders;

X1 = BasicAccountingSoftwarecapturedintermsofthe factthatithelpssimplifytheestablishmentofchartsof accounts,reconciliationaswellfollowingupofissuesas providedforbythefinancelaw;

46 DademKemgouEdouardGuilaireetal.
= β0 + β1 X1 + β2 X2 + β3 X3 + U

X2 = InvoicingSoftwarecapturedintermsofitscontributiontoreducinglatenessinpayments,monitoring commitmentsrelatingtobilling,easingbillingandpaymentaswellasinvoicecustomization;

X3 = BusinessBankAccountviewedintermsofitscontributiontoeasingbusinessaccounting,bankreconciliation aswellaspossibilityofmakingtheapprovalofbusiness loanspossible.

RESULTS

Datawascollectedonthekeydemographicvariables assumedtobelikelyinfluentialasregardsadoptionofdigitalizationtoolsbySMEsinTubah.Thesevariableswere levelofeducationofthebusinessowner/andormanager andthedurationviewedintermsofnumberofyearsthe businesshasexisted.ThecollecteddatacanbeseenaspresentedinTable 1:

Table1. KeyDemographicdataofthestudiedunits. S/N Variables Attributes Count percent%

1 Levelof Education

O/L 10 17% A/L 34 57%

BSc 13 22% Masters 3 5%

Total 60 100%

4 Longevity (Duration ofbusiness) 5years 17 28% 6–10years 29 48% above10years 14 23%

Total 60 100%

Source:Author

AsobservedfromTable 1,(10)17%oftherespondents wereholdersofO/L,(34)57%A/Lholders,(13)22%BSc holdersand(3)5%MastersDegreeholders.Byimplication, theeducationalleveloftherespondentswassufficientfor themtoknowtheimportanceofthedigitalizationadoptionnotablyoperatingabusinesswithBasicAccounting Software,InvoicingSoftwareandBusinessBankAccount. Further,relatingthenumberofyearsthebusinesshadbeen operational,(17)28%ofthebusinesseshadbeenoperationalfor5years,(29)48%6to10yearsand(14)23% hadbeenoperationalforover10years.Evidently,theages ofthebusinessesstudiedprovidesajustifiableground forthesubjectmatterstudiedasthesebusinesseswith theirexperienceandchallengesfacedmighthaveseenthe importanceofdigitalaccountingtools.

Totestthestatedhypothesisthatownership/useof BasicAccountingSoftware,InvoicingSoftwareandBusinessBankAccounthavenosignificanteffectonAccountingPurposesandhenceperformanceofSMEsinTubahSub Division,thegoodnessoffitstatisticswasdone.

Basedonthegoodnessoffitresultsgotten,theanalysis ofvariancewasdoneandresultscanbeseenbelow.

Table2. Goodnessoffitstatistics. SumofAdjusted ObservationsweightsDFRR2 R2 MSERMSEDW 60.00060.000536.000536.0000.9740.9490.1230.3512.462

Source:Author

Table3. Analysisofvariance. SumofMeanProb SourceDFsquaressquaresF > F Model357.26319.088348.1340.0001 Error563.070.055 CorrectedTotal5960.333 ComputedagainstmodelY = Mean(Y)

Source:Author

Table4. Modelparameters. LowerUpper Standardboundbound SourceValueBetaErrortP > |t| (95.0%)(95.0%) (Constant)0.1220.0721.6860.0970.0230.266 X1 0.4670.4920.0964.8780.0000.2750.659 X2 0.2610.2570.1032.5240.0140.0540.467 X3 0.2270.2470.0733.10.0030.080.373

Source:Author

DependentVariable:AccountingPurposes

Predictors:BasicAccountingSoftware;InvoicingSoftwareand BusinessBankAccount

Thelevelatwhichtheindependentvariables(Basic AccountingSoftware;InvoicingSoftwareandBusiness BankAccount)variationsexplainAccountingPurposes (thedependentvariable)isbasedontheRsquarevalue ofindicateshowthevariationoftheindependentvaries onthedependentvariable.Thiscoefficientshowsarelative moderatedegreeofexplanationofthedependentvariable bytheindependentvariables.Thus,accountingsoftware, invoicingsoftware,businessbankaccounthasapositive effectonaccountingpurposesthusthenullhypothesisis rejected.

Further,adjustedR2 showsthedegreeofvariationin accountingpurposesthatcanbeexplainedbyvariationsin digitalizationtools.AssumingfromtheadjustedR2,94.6% ofvariationsintheaccountingpurposesisaccountedforor explainedbyvariationsdigitalizationtoolsimplyingthat othernondigitalizationrelatedvariablesaccountfor6.4% ofvariations.

BuildingontheFvalue,itwouldsuggesta0.01%risk ofrejectingthenullhypothesisthatdigitalizationtoolsdo nothaveasignificanteffectontheaccountingpurposesat SMEsinTubahSubDivision.Thusitmaybeconcluded thattheownership/useofaccountingsoftware;invoicing softwareandbusinessbankaccountresultsinsufficient informationthathelpinpredictingpurposesasconcerns accountingissuesinthestudiedenterprises.Hencethe hypothesisisretained.

AdoptionofDigitalizationToolsforAccountingPurposesbySMEsinTubahSubDivision 47

Again,asignificantpositiveeffectisobservedat 95%confidenceinterval,withtheindependentvariable accountingsoftwareeffectingonaccountingpurposes holdingothervariablesconstant.Inferringthetstatisticof 4.87willimplya0.001%riskinassumingthataccounting softwarehaveasignificanteffectonaccountingpurposes whichislowerthanthelevelofsignificanceof5%.Thusit maybeconcludedthataccountingsoftwarehasasignificantpositiveeffectontheaccountingpurposesinSMEsin TubahSubDivision.Similarly,invoicingsoftwareandbusinessbankaccountalsohavesignificantpositiveeffectson accountingpurposesatSMEsinTubahSubDivision.From theaforementioned,thegeneralequationoftheregression modelcanthusbewrittenas

• Foreachunitincreaseininvoicingsoftware,accountingpurposesincreasesby26.1%.Inferringfromthe significanceofthetstatisticof2.52wewillbetaking a1.4%riskinassumingthatinvoicingsoftwarehave asignificanteffectontheaccountingpurposeswhich islowerthanthelevelofsignificanceof5%.Wethereforeconcludethatinvoicingsoftwarehasapositive andSignificanteffectontheaccountingpurposes

• Foreachunitincreaseinbusinessbankaccount, accountingpurposesincreasesby22.7%.Inferring fromthesignificanceofthetstatisticof3.1wewill betakinga0.3%riskinassumingthatbusinessbank accounthasasignificanteffectontheaccountingpurposeswhichislowerthanthelevelofsignificance of5%.Wethereforeconcludethatbusinessbank accounthasapositiveandSignificanteffectonthe accountingpurposes

CONCLUSIONANDRECOMMENDATIONS

SummaryofMajorFindings

Themainobjectiveofthisstudywastoexaminehowthe adoptionofdigitalisationtoolsinfluenceaccountingpurposesofSMEsinTubahSubDivision,thestudysetoutTo examineeffectofbasicaccountingsoftwareonaccounting purposesbySMEsinTubahSubDivision.Toinvestigate theeffectofinvoicingsoftwareonaccountingpurposes bySMEsinTubahSubDivision.Toexploretheeffectof businessbankaccountonaccountingpurposesofSMEs inTubahSubDivision.TheresearcheradministeredquestionnaireswhichweredistributedtoSMEsinTubahSub Division.Threedigitalisationtoolswerestudiedsuchas basicaccountingsoftware,invoicingsoftwareandbusiness bankaccount.Fromthequestionnairesadministered,the respondentshadfouroptions.Theabovementionobjective wasachievedwiththeuseofclusterbarcharts,percentages,andregressionanalysis.

UsingdatafromselectedSMEsandapplyingthe regressionmethodofanalysis,thefollowingresultswere obtained:

• Therelationshipbetweendigitalisationtoolsand accountingpurposesisverystrongasindicatedby thetestofhypothesiswhichgivesaP-Valueof0.0001.

• Fromtheresultsshownonthemodelparameters tablesforeachunitincreaseinsoftwareonaccounting,accountingpurposeswillincreaseby46.7%.

Inferringfromthesignificanceofthetstatisticof 4.87wewillbetakinga0.001%riskinassumingthat softwareonaccountinghaveasignificanteffecton accountingpurposeswhichislowerthanthelevelof significanceof5%.Wethereforeconcludethatsoftwareonaccountinghasapositiveandsignificant effectontheaccountingpurposes

Conclusion

Itisobviousthatdigitalizationofaccountinginformationhascometostaytosolveaccountingproblemsand improveperformanceofbusinesses.However,fromthe resultsofthisstudyshowsthatbothdigitalizationhasa significanteffectontheaccountingsystemofSMEs.Soit canpositivelycontributetotheimprovementofaccountingsystem.

Recommendations

Onthebasisofthefindingsofthisstudy,theresearcher recommendsthat;

SMEEsshouldtrytoimproveontheirinformation technologysinceitiscapableofcontributingpositivelytotheaccountinginformationsystem.

Thelevelofusageofdigitalizationtoolscanreduce tosomeextentsoastocutcostofoperation

Humanresourcestilldateremainthemostvital resourceinSMEs,replacingthemwithroboticscould havedevastatingeffectontheSMEs.SMEsshould thereforeavoidusingartificialintelligencetoperform allitsaccountingactivities.

SuggestedAreaforFurtherStudy

Thisstudyadoptedasurveyresearchdesigntoonlystudy someselectedSMEsinTubahSubDivisionofwhichonly thedatacollectedfromtheseSMEswereusedtomake generalization.Thiscouldaffecttheoutcomeofthestudy.

Itisthereforesuggestedthatfuturestudiesofthisnature shouldadoptadifferentresearchdesignapproachtohave awiderscopestudytoreduceorcancelpossibilityofbias intheresearchoutcome.

48 DademKemgouEdouardGuilaireetal.
Y = 0.122 + 0.467X1 + 0.261X2 + 0.227X3

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Mcbride,P.(2000), http://www.erc.msh.org/mainpage.cfm.[Online] Availableat: http://www.erc.msh.org/mainpage.cfm [Accessed25 June2021].

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AdoptionofDigitalizationToolsforAccountingPurposesbySMEsinTubahSubDivision 49

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