Co esponding au ho : Abd aman Alma Ye bola qyzy
Copy igh © 2025 Au ho (s) e ain he copy igh o his a icle. This a icle is published unde he e ms o he C ea i e Commons A ibu ion Liscense 4.0.
Mechanisms o Ho el Repu a ion Managemen Th ough Online Re iew Pla o ms
Abd aman Alma Ye bola qyzy *
Bachelo o Tou ism Managemen , Zhejiang Uni e si y o Technology, Hangzhou, China.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 955-962
Publica ion his o y: Recei ed on 01 July 2025; e ised on 09 Augus 2025; accep ed on 11 Augus 2025
A icle DOI: h ps://doi.o g/10.30574/wja .2025.27.2.2871
Abs ac
The a icle discusses a mul idimensional model o managing ho el epu a ions ia online e iew pla o ms, ocusing on
da a collec ion, analysis, and esponsi e ac ions. The ele ance o his s udy lies in he digi al ans o ma ion o he
hospi ali y sec o , whe e use -gene a ed con en on pla o ms such as T ipAd iso , Booking.com, Google, and o he
agg ega o s has become a key ac o in gues decision-making, he eby educing in o ma ion asymme y be ween ho els
and consume s. The pu pose o his wo k is o sys ema ize and jus i y s a egic mechanisms o managing digi al
epu a ion in e ms o hei impac on inancial and ope a ional indica o s. The no el y lies in combining me hodologies:
econome ic analysis o he e ec s o a e age a ings on p o i abili y (inc ease in Re PAR and ADR wi h a one-poin ise
in he a ing), a sys ema ic e iew o mul ichannel ools o collec ing e iews (e-mail, push no i ica ions, QR codes),
con en analysis, and ex mining o ope a ional de ec s, as well as he s udy o changes in anking algo i hms on
pla o ms like Booking.com, T ipad iso , and Google Re iews. An in eg a ed model is p oposed ha combines inancial,
ma ke ing, and ope a ional componen s o epu a ion managemen . The main conclusions show ha online epu a ion
is a ull- ledged inancial asse ; an e ec i e managemen a chi ec u e includes h ee complemen a y blocks:
mul ichannel eedback collec ion, cen alized analy ical moni o ing, and p io i ized esponsi e ac ions wi hin ixed ime
windows. A combina ion o eac i e measu es o de ec elimina ion and p oac i e ools o c ea ing posi i e
expe iences (loyal y p og ams, segmen ed communica ion, con en ma ke ing) ensu es sus ainable p ice p emiums
and shi s a ic o di ec channels wi hou he isk o losing ma ke sha e. The a icle will be o in e es o esea che s
in he ield o hospi ali y, as well as o ho el manage s, e enue managemen p o essionals, and ma ke ing p o essionals.
Keywo ds: Repu a ion Managemen ; Re iew Pla o ms; Ho el Indus y; Digi al Ma ke ing; Re PAR
1. In oduc ion
One undamen al change b ough abou by he digi aliza ion o he hospi ali y indus y is he p ocess by which
accommoda ions a e selec ed. Decisions a e now based on publicly sha ed opinions ac oss T ipAd iso , Booking.com,
Google agg ega o s, and se e al o he hi d-pa y and ou h-pa y agg ega o s. In e ec , in o ma ion asymme y
be ween consume s and ho els is d as ically educed. Wi h sma phones gaining inc easing pene a ion and mobile
access o p ice compa ison being ubiqui ously a ailable, use -gene a ed con en has su passed adi ional ad e ising
and s a a ings as he p ima y indica o o ac ual se ice quali y.
Empi ical da a con i m his end: acco ding o a sample om se e al majo ma ke s, 81% o a ele s always o
equen ly ead e iews be o e booking a oom, and in 72% o cases, consume s a e willing o pay a highe p ice o a
ho el wi h a be e a ing, e en i he al e na i e o e s a discoun o a well-known b and [1]. Thus, e iews no only
a ec pla o m a ic bu also in luence demand elas ici y, shi ing he ocus om p ice o pe cei ed quali y.
The inancial impac is also quan i iable: econome ic analysis o T ipAd iso da a and mon hly e enue o ho els in
Texas showed ha a one-poin inc ease in he o e all a ing leads o a 2.2–3.0% inc ease in e enue h ough signaling
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and epu a ion channels [2]. Fo p ope ies wi h a high sha e o online sales, such an imp o emen ansla es in o a
compa able inc ease in a e age daily a e (ADR) and occupancy a e, main aining ad an ages e en amid an o e all
inc ease in cus ome s' p ice sensi i i y.
This makes he digi al epu a ion managemen unc ion a s andalone s a egic ac i i y whose objec i e is no only o
swing back he quali y in o posi i i y bu also o p eemp ha us which allows ho els o keep hei p ice p emiums
wi hou OTA’s a ic loss, minimize p omo ion cos s h ough o ganic anking, build up a loyal gues base, and use
e iew analy ics as inpu o con inuous se ice imp o emen . This means ha epu a ion managemen asks span he
inancial, ma ke ing, and ope a ional aspec s o he business, consolida ing hem in o a single sys em ha can ansla e
b and pe cep ion in o angible economic esul s.
2. Ma e ials and Me hodology
The esea ch ma e ials comp ise 23 sou ces, encompassing s a is ical da a, econome ic models, indus y epo s, and
publicly a ailable pla o m documen a ion, which enabled a comp ehensi e assessmen o he mechanisms o o ming
and managing ho el epu a ions. The heo e ical ounda ion was based on wo ks demons a ing he impac o use
a ings on gues beha io and inancial indica o s: Ho el Tech Repo s a is ics showed ha 81% o a ele s always o
equen ly ead e iews be o e booking, and 72% a e willing o pay a p emium o a high a ing [1], econome ic
analysis by Say uddin and Chen e ealed ha a one-poin inc ease in T ipAd iso a ings aises e enue in Texas ho els
by 2.2–3.0% [2], and e iews by Re iewP o, Hospi ali y T ends, and CoS a con i med he linea ela ionship be ween
a ings and key pe o mance indica o s (ADR, occupancy, Re PAR) [3–5]. S udies by Ca ie , Rez ani, and Rojas,
Sánchez-Pé ez e al. showed he in luence o epu a ion on he edis ibu ion o a ic be ween OTAs and di ec
channels. A he same ime, spa ial-p ice analysis in Manha an e ealed he ole o a ing di e en ia ion in p icing [6–
9]. Indus y benchma ks on eedback collec ion channels — including MailChimp o email, Ai ship o push
no i ica ions, and QR Code Ki o QR igge s — helped assess he e ec i eness o mul ichannel engagemen wi h gues s
[10–12]. Shiji’s epo p o ided consolida ed me ics om 53 sou ces and manage s' esponse imes o e iews [13].
Fo an in-dep h unde s anding o ope a ional de ec s, con en analysis and ex mining me hods we e employed. Huang
e al. conduc ed a nine-yea ex analysis, iden i ying six ca ego ies o ailu es [15], while Hu e al. applied s uc u al
hema ic analysis o cus ome complain s [16]. Case s udies on loyal y p og ams and hei impac on gues ad ocacy
we e based on Zhang’s publica ion [17]. Changes in pla o m algo i hms — including hose o Booking.com [18–19],
T ipAd iso [20], and Google Re iews [21–22] — we e analyzed h ough o icial eleases and p ac ical s udies. Ma ke
o ecas s helped accoun o u u e g ow h in he cus ome expe ience so wa e ma ke [23].
Me hodologically, he esea ch combines se e al app oaches: compa a i e analysis o anking and e iew mode a ion
mechanisms based on pla o m documen a ion and empi ical da a [18–22]; econome ic analysis o he impac o
a e age a ings on e enue and demand elas ici y using panel da a om T ipAd iso and he Re iewP o agg ega o [2–
3]; a sys ema ic e iew o benchma ks on eedback collec ion channels — e-mail, push no i ica ions, QR codes — o
assess co e age and con e sion o e iew eques s [10–12]; con en analysis and ex mining o e iews using s uc u al
hema ic models o iden i y ypical ope a ional de ec s and assess hei equency [15–16]; case s udies on loyal y
p og ams o unde s and he d i e s o posi i e use con en [17]; and syn hesis o quan i a i e da a on he cus ome
expe ience so wa e ma ke o p edic he impac o epu a ion managemen in es men s on ho el inancial
pe o mance [23].
3. Resul s and Discussion
Online epu a ion has e ol ed om a seconda y sa is ac ion indica o in o a ull- ledged inancial asse , inco po a ed
in o e enue‑managemen algo i hms alongside classic demand and seasonali y a iables. Thanks o publicly a ailable
e iews, gues s can p omp ly assess he p ice– alue a io; consequen ly, any change in he a e age a ing is
immedia ely e lec ed in an accommoda ion p ope y’s p icing capabili ies.
The economic magni ude o his e ec has been documen ed in se e al empi ical s udies: an analysis o he global
Re iewP o index ound ha a one‑poin inc ease ou o one hund ed enables a ho el o aise i s a e age a e by 0.89%,
boos occupancy by 0.54%, and hus g ow Re PAR by 1.42% wi hou losing ma ke sha e [3]. When using a i e-poin
scale, he e ec is e en mo e p onounced: a one-poin inc ease on T a eloci y was associa ed wi h he abili y o aise
a es by 11.2% while main aining he same oom load [4]. Addi ional obse a ions by CoS a con i med a linea
ela ionship be ween a one‑pe cen inc ease in he composi e a ing and g ow h in key e enue me ics, embedding
epu a ion me ics in o he p icing models o majo chains [5].
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Beyond he di ec impac on ADR and occupancy, a high a ing educes gues acquisi ion cos s by encou aging a shi in
bookings om commission-based OTAs o low-cos di ec channels. Resea ch by Kalib i Labs ound ha ho els wi h
highe a ings secu e a la ge sha e o a ic ia b and.com, and Ne Re PAR a e commission deduc ions is highe
han ha o compe i o s wi h compa able ca ego ies bu in e io epu a ions [6]. This is pa icula ly signi ican gi en
ha in he upscale segmen , he o al cos o acquisi ion anges be ween 15–20% o e enue pe oom, and any shi o
sales o di ec channels ees up ma gin o se ice in es men s [7].
Repu a ion also se es as a key ool o p oduc di e en ia ion. In sa u a ed u ban clus e s, whe e he physical
a ibu es o ooms a e s anda dized, i is online a ings ha allow a ho el o dis inguish i sel om i s nea es
compe i o s on p ice: an analysis o Manha an showed ha segmen a ion by quali y and loca ion emains undamen al,
bu de ia ions in epu a ion addi ionally explain p ice s a i ica ion and eac ions o neighbo ing p ope ies’ a es [8].
Simila conclusions a ise om compa a i e analyses o e ical and ho izon al di e en ia ion: ho els ha main ain
a ings abo e he local a e age consis en ly ealize a a e p emium ega dless o agglome a ion densi y [9]. Thus, digi al
epu a ion becomes an in angible esou ce ha no only enhances p o i abili y bu also p ese es he uniqueness o
o e ings when physical a ibu es a e di icul o di e en ia e.
S a egic epu a ion managemen begins wi h expanding he p ima y eedback da ase , since sample s a is ical powe
di ec ly de e mines he eliabili y o subsequen analysis. Pos ‑s ay emails emain he baseline channel: he a e age
unique open a e o a la ge Mailchimp sample is 35.6%, while only 2.6% o ecipien s click h ough such emails, which
al eady se s he uppe limi o po en ial e iew olume i o he ouchpoin s a e no used, as shown in Figu e 1 [10].
Figu e 1 C oss‑Indus y Email Engagemen Me ics [10]
Mobile push no i ica ions lowe his ba ie : acco ding o Ai ship’s indus y benchma k, di ec opens o push messages
mo e han double e‑mail clicks, and ecipien s who ecei e a leas one no i ica ion wi hin he i s 90 days demons a e
h ee old engagemen e en ion compa ed o a con ol g oup, making push mechanics an e ec i e igge o quickly
solici ing s ay a ings [11]. Addi ionally, o line channels such as QR codes d as ically inc ease each: eplacing pape
ca ds wi h QR o ms in he ield led o a 300% inc ease in su eys in a ne wo k ope a o ’s es au an s, demons a ing
how c i ical i is o minimize ic ion when collec ing gues eedback di ec ly a he exi o he lobby o es au an [12].
The combina ion o e‑mail, push, and QR igge s educes esponden mo i a ion bias and enables as e de ec ion o
nega i e eedback be o e i becomes public.
A e da a collec ion, he key ask is cen alized moni o ing. Mode n agg ega o s, such as Re iewP o, consolida e
e iews om 53 sou ces, p ocessing ens o millions o ex commen s and p oducing a single Global Re iew Index,
which simpli ies benchma king agains compe i i e se s e en o mul i‑p ope y chains [13]. A he same ime, he mos
signi ican decline in booking sha e occu ed on Booking.com, whe eas Google and C ip showed no able g ow h, as
illus a ed in Figu e 2.
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Figu e 2 Online T a el Channel Sha e [13]
In a global sample o 9,500 ho els in he Q2 2023 epo , manage s esponded o 61.6% o e iews; posi i e messages
ecei ed esponses in 63.5% o cases wi h an a e age lag o 3.6 days, whe eas nega i e ones we e add essed in 53.7%
o cases wi h a delay o 4.3 days, indica ing ha nega i e eedback emains a iskie a ea wi h a eac ion delay nea ly
one day longe [13]. In eg a ing such agg ega ed me ics in o BI dashboa ds o PMS o CRM sys ems enables he eal-
ime linkage o speci ic gues commen s o ope a ional uni s and he au oma ic c ea ion o asks o he on o ice o
enginee ing se ice, he eby closing he PDCA loop wi hou manual ou ing. The cus ome expe ience managemen
so wa e ma ke was alued a USD 14.07 billion in 2024 and is o ecas o each USD 45.71 billion by 2032, wi h a CAGR
o 17.50% om 2026 o 2032, as shown in Figu e 3 [23].
Figu e 3 Cus ome Expe ience Managemen So wa e Ma ke Size [23]
The hi d mechanism — p omp and subs an i e esponse. Co nell’s s udy demons a ed ha publishing manage ial
eplies co ela es posi i ely wi h OTA sales up o a esponse‑ a e h eshold o app oxima ely 40%; beyond his poin ,
addi ional eplies yield diminishing—and occasionally nega i e—ma ginal e u ns, unde sco ing he impo ance o a
selec i e app oach: p io i y should be gi en o nega i e and cons uc i e eedback a he han o e e y complimen in
sequence [14]. Re iewP o’s p ac ical benchma ks con i m his s a egy: an excessi e lag o mo e han ou days in
eplying o nega i e e iews is accompanied by a no iceable decline in he oom‑ alue index, whe eas esponses wi hin
he i s 24–48 hou s can o se up o 30% o po en ial a ing loss—pa icula ly on Booking.com and Google, whose
algo i hms a e sensi i e o esponse speed [13]. Acco dingly, an e ec i e epu a ion‑managemen a chi ec u e
comp ises h ee complemen a y blocks: mul ichannel eedback collec ion, end‑ o‑end analy ical moni o ing, and
con ex ually p io i ized esponses wi hin a de ined empo al window, which oge he ensu e sus ained a ing e en ion
and gene a e a p ice p emium in a ully anspa en ma ke .
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Analysis o ecu ing complain s ans o ms dispa a e nega i e signals in o a measu able—and hus mone izable—map
o pe sis en ope a ional de ec s. Tex mining o a nine-yea co pus o aling 73,622 wo ds iden i ied 26 ypical ailu es,
which clus e in o six ca ego ies [15]. Simila esul s on a b oade sample con i m ha complain dis ibu ions emain
s able ac oss ma ke s, enabling he s anda diza ion o egula o y h esholds beyond which each ca ego y is
au oma ically assigned p io i y s a us be o e any ac ual a ing decline occu s [16].
When a ho el delibe a ely ec i ies i s wo mos equen sou ces o dissa is ac ion, ans o ma ional e ec s eme ge
wi hin he i s qua e : men ion equency declines, and he whole Re PAR eco e y pe iod ollowing a public
epu a ional shock sho ens. Howe e , p ocess co ec ion alone is insu icien i no accompanied by a publicly
documen ed se ice‑ eco e y e o .
A he nex s age, he key le e shi s om p e en ing nega i i y o building ad ocacy and posi i i y h ough loyal y
p og ams. The pe cei ed alue o a p og am explains dispe sion in a ec i e commi men — ha is, he emo ional bond
ha mo i a es gues s o ecommend he p ope y and lea e ex ended, posi i e e iews olun a ily. Rewa d ype exe s
a sub le ye signi ican e ec : highly engaged cus ome s espond mo e a o ably o in angible s a us p e e ences,
whe eas low-engagemen segmen s a e mo e esponsi e o ins an ma e ial bonuses. De ia ion om his ewa d ma ix
educes sa is ac ion gains by a ac o o 1.5 [17].
This yields a symme ic model: sys ema ic co ec i e ac ions educe he baseline low o nega i i y. A he same ime, a
well‑designed loyal y p og am expands he uppe ail o he a ing dis ibu ion, c ea ing a s able epu a ional bu e
ha enhances p icing powe and dec eases dependence on cos ly acquisi ion channels.
Ranking algo i hms o majo e iew pla o ms a e p op ie a y; howe e , published upda es and empi ical s udies allow
o he econs uc ion o hei key emphases, he eby linking ac ical ho el ac ions o how pla o ms con e gues ex
in o economic ou comes. Following i s Janua y 2025 upda e, Booking.com adop ed a ecency‑weigh ed calcula ion:
a ings pos ed wi hin he i s yea a e s ay ecei e maximal weigh , whe eas h ee‑yea ‑old e iews exe negligible
in luence on he inal sco e. The pla o m’s da a indica e ha , a e a a ge ed gues -expe ience campaign, a median
sco e imp o emen is achie ed wi hin 2.5 mon hs [18]. I s in e nal mode a ion il e publishes only e iews om
e i ied gues s, au oma ically emo es ha e speech, and ejec s con en con aining pe sonal da a, he eby main aining
a cou eous co pus and mi iga ing he isk o ab up onal spikes ha could dis up a ing dynamics [19]. This complex
mechanism means ha he cos o e en a small wa e o nega i e e iews exceeds p e ious le els. Each new complain
ins an ly ecalcula es he a e age sco e, o cing managemen o ocus on qua e ly a he han annual imp o emen
cycles.
T ipAd iso employs simila bu mo e mul i ac o ial ules. I s o icial desc ip ion o he Popula i y Index emphasizes
ha anking posi ions de i e om a combina ion o e iew quali y, quan i y, and eshness; he sys em compu es a
con idence in e al o a p ope y’s cu en expe ience, so small ho els mus apidly accumula e a s a is ically
signi ican sample o exi he ini ial g ey egion [20]. An addi ional laye — e med hema ic consensus—de ec s which
aspec s ( ypically cleanliness, loca ion, and cos ) a e mos consis en ly men ioned, and ampli ies he weigh o a ings
suppo ed by s able ex ual hemes. The p ac ical implica ion is clea : i a ho el esol es an issue ha ecu s
sys ema ically in e iews, he e ec will mani es no only in sco es bu also in lis ankings, whe e demand is
dis ibu ed exponen ially.
Google Re iews a e in eg a ed in o he local‑sea ch g aph, making hei logic closely ied o SEO signals. Field es s show
ha a i e‑s a a ing inc eases click‑ h ough a es in he Local Pack by 25%, and 56% o use s p e e businesses wi h
a high a e age a ing when choosing among nea by op ions [21]. Mo eo e , sea ch esul s hemsel es s ic ly il e
p o iles: que ies ma ked as 'bes ' o ' op' display only p o iles a ed 4.0 o abo e, so e e y en h nega i e e iew ha
lowe s a sco e below his h eshold ins an ly emo es he p ope y om high- a ic map posi ions [22]. The mos
ele an algo i hm so s e iews by use ulness—p io i izing de ailed pos s wi h pho og aphs—and, since 2024, he
Gemini AI–based module has emo ed 40% mo e spam han he p e ious yea , u he enhancing he alue o
o ganically ob ained men ions. Collec i ely, he olume, equency, and sen imen o commen s se e as igge s o
local anking, making a s eady low o ex ual, con ex ‑ ich e iews a echnical equi emen o isibili y a he han
me ely a epu a ional goal.
Thus, he h ee pla o ms con e ge on he p inciple ha signal eshness and au hen ici y ou weigh a s a ic a chi e o
p aise, al hough hey emphasize di e en ace s: Booking.com ins an ly ecalcula es he o e all sco e; T ipAd iso
ewa ds consis en ocus on key se ice aspec s; and Google con e s sen imen in o map posi ion and high-in en que y
il e ing. Repu a ion managemen mus accoun o hese di e ences by main aining a egula s eam o e i ied
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e iews, add essing ecu ing hema ic de ec s, and encou aging gues s o lea e in o ma i e, isually suppo ed
messages ha simul aneously imp o e a ings, us indices, and SEO isibili y.
An e ec i e epu a ion-managemen s a egy begins e en be o e a gues 's a i al. Pe sonalized ese a ion
con i ma ions— ea u ing concise in o ma ion on ho el ameni ies and a con enien di ec ‑con ac channel—se
expec a ions and allow p e e ences o be cla i ied in ad ance. Du ing he s ay, he on o ice should p oac i ely o e
assis ance. On depa u e day, a disc ee eques o eedback should be sen . Such a cycle ans o ms communica ion
om eac i e o p e en i e, as po en ial issues a e iden i ied and add essed be o e hey become public.
P ac ical implemen a ion equi es delinea ed oles. This ole assigns one pe son he esponsibili y o moni o ing
e iews, acking esponse imes, and e e ing complex cases o he app op ia e eam. Cha bo s handle echnical daily
asks. They alk o people all day and nigh , p o iding s anda d in o ma ion, and also no e any signs o unhappiness. By
spli ing human wo k in his way, s a can pay mo e a en ion only when eelings and cus om ouches ma e mos .
Selec communica ion channels ailo ed o he audience. In e na ional a ele s use T ipAd iso and Booking.com mo e
equen ly, while locals end o p e e Google and map se ices. The you h segmen esponds mo e ac i ely o push
no i ica ions in mobile applica ions, whe eas amily a ele s ind elec onic mail mo e con enien . Flexible
segmen a ion enhances he ele ance o ou each, he eby inc easing he esponse a e.
Use con en ma ke ing as social p oo . Publishing imp o emen s o ies, ideo ou s o eno a ed a eas, and use ‑
gene a ed pho o epos s builds us by demons a ing anspa ency and openness o c i ique. The key o success is
ensu ing ha published con en accu a ely e lec s gues s’ ac ual expe iences; o he wise, disc epancies be ween
expec a ions and eali y can apidly lead o nega i e a ing adjus men s.
E e y s a egy aces e hical isks. A i icially in la ing e iews p oduces only empo a y a ing inc eases, as pla o ms
inc easingly deploy anomaly‑de ec ion algo i hms ha may hide o emo e suspicious p o iles—and he epu a ional
damage om exposu e is almos impossible o epai . When eplying o commen s, i is c ucial o e ain om disclosing
gues s’ da a, in compliance wi h con iden iali y equi emen s. A mul ilingual audience obliges he main enance o high
s anda ds o s yle and ansla ion accu acy in each majo language.
The conclusions can be dis illed in o se e al p inciples. Response speed emains he p ima y ac o d i ing us ;
he e o e, au oma ing moni o ing and in elligen ly p io i izing complain s enables concen a ion o e o on c i ical
issues. Hones y in all communica ions educes long- e m isks, and in eg a ing e iews in o quali y managemen
sys ems helps close he cycle o con inuous imp o emen . A se ice‑o ien ed cul u e, suppo ed by s a aining and
ai incen i es, ans o ms digi al ools om an ex e nal ma ke equi emen in o an in insic elemen o co po a e DNA,
he eby secu ing a sus ainable compe i i e ad an age.
4. Conclusion
The conduc ed esea ch con i ms he pi o al ole o a managed online epu a ion in c ea ing a compe i i e ad an age
o hospi ali y en e p ises. Use -gene a ed con en on e iew pla o ms cons i u es a ull- ledged inancial asse capable
o in luencing p o i abili y h ough dynamic p icing and demand elas ici y. Empi ical da a analysis e ealed ha e en
mino inc eases in a e age a ings esul in angible gains in Re PAR and ADR. A he same ime, a apid esponse o
e iews s eng hens us and educes he isk o ma ke -sha e loss.
An e ec i e epu a ion‑managemen a chi ec u e is based on h ee complemen a y mechanisms: mul ichannel e iew
collec ion, cen alized analy ical moni o ing, and p io i ized esponses wi hin s ic ly de ined ime windows. The
in eg a ion o e-mail, push no i ica ions, and QR igge s inc eases he olume o collec ed da a. Agg ega o s consolida e
e iews om dozens o sou ces, and PMS o CRM BI dashboa ds enable he au oma ic linking o nega i e signals o
ope a ional uni s, hus closing he PDCA loop wi hou manual in e en ion.
S a egic epu a ion managemen mus encompass no only eac i e measu es o elimina e ope a ional de ec s bu also
p oac i e ools o gene a ing posi i e expe iences: loyal y p og ams, segmen ed communica ion, and con en
ma ke ing u n gues s in o b and ad oca es and expand he uppe ail o he a ing dis ibu ion. Clea ole delinea ion
be ween he Gues Expe ience Manage and echnical solu ions, such as cha bo s, ensu es a balance be ween
pe sonaliza ion and au oma ion. Meanwhile, lexible channel segmen a ion maximizes ou each ele ance o di e en
a ge audiences.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 27(02), 955-962
961
Equally impo an is he e hical dimension o e iew managemen : a i icial e iew in la ion and une hical p ac ices can
esul in long‑ e m epu a ional ha m; he e o e, upholding anspa ency, pe sonal da a p o ec ion, and ansla ion
accu acy emains a undamen al p inciple. Implemen ing au oma ed p io i iza ion algo i hms and analysis o ecu ing
complain s ensu es sys ema ic se ice imp o emen and educes eco e y ime ollowing epu a ional shocks.
Thus, digi al epu a ion managemen in he hospi ali y indus y eme ges no as an ancilla y unc ion bu as an in eg al
s a egic elemen ha uni es he inancial, ma ke ing, and ope a ional con ou s o he business, capable o ans o ming
use pe cep ion in o measu able economic ou comes.
Compliance wi h e hical s anda ds
Acknowledgmen s
The au ho hanks all colleagues and e iewe s o hei aluable commen s and ecommenda ions, which con ibu ed
o he imp o emen o his wo k.
Disclosu e o con lic o in e es
The au ho decla es no inancial o non‑ inancial in e es s ha could ha e in luenced he esul s o in e p e a ion o
his esea ch
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