EVALUATION OF CONSUMERS’ USE OF SMART ROBOTIC VACUUM CLEANERS UNDER EXTENDED EXPECTATIONCONFIRMATION MODEL.

VREDNOVANJE PROVEDENO MEĐU POTROŠAČIMA PAMETNIH ROBOTSKIH USISAVAČA U OKVIRU PROŠIRENOGA MODELA POTVRDE OČEKIVANJA.

Purpose – The present research study extends the Expectation-Confirmation Model (ECM) by focusing on satisfaction, continuance intention, and recommendation intention among smart robotic vacuum cleaner users. The impacts of battery life concern and perceived privacy factors on satisfaction and continuance intention of the smart robotic vacuum cleaner were investigated by adding the variables of battery life concern, perceived privacy, and recommendation intention in the ECM. Design/methodology/approach – The participants of this study consisted of smart robotic vacuum cleaner users in Turkey. The snowball sampling method, as one of the non-random sampling methods, was used to reach the participants; data was collected using an online survey created with Google Forms, asking the participants to share the survey link with people around them who have smart robotic vacuum cleaners. A total of 218 smart robotic vacuum cleaner users participated in the study between March 1 and May 1, 2023.Findings and implications – Structural equation modeling (SEM) was used as the data analysis technique in the study. While the ECM was confirmed as a result of the SEM analysis, an important finding was that consumers with battery life concerns intend to continue using the smart robotic vacuum cleaner despite a negative relationship between battery life concern and satisfaction. While the effect of perceived privacy on continuance intention was not significant, satisfaction was found to have a significant effect on continuance intention. Given that rtificial intelligence-related businesses face fierce competition, organizations that wish to prosper in this environment must excel in a variety of areas, ranging from product design to marketing and from sales policies to post-sales assistance. Considering the findings, determining the factors that affect the satisfaction and intention to continue using robot vacuum cleaners will be a guide for smart robot vacuum cleaner manufacturers and marketers. At the same time, the fact that the issue has been investigated within the framework of a model will also make significant contributions to the literature. Limitations – Different factors influence smart robotic vacuum cleaner users’ satisfaction and desire to continue using them, but only battery-life concerns and perceived privacy variables were incorporated into the ECM model in this research study. Another limitation is connected to the research sample. Because the snowball sampling method was employed to obtain data for the research, its findings cannot be generalized as they cover only smart robotic vacuum cleaner users who participated in the survey. Originality/value – The ECM employed in the study was expanded by including the variables of battery-life concern, perceived privacy, and recommendation intention. A general lack of information among potential consumers regarding artificial intelligence and smart robotic vacuum cleaners, which is highly fascinating and a source of curiosity, as well as the lack of research on this issue in the literature, underscore the significance of this research study. By integrating and expanding the ECM for application to consumers using smart robotic vacuum cleaners, this study adds a fresh viewpoint to the literature. [ABSTRACT FROM AUTHOR]

Svrha – Istraživanje proširuje Expectation-Confirmation Model (ECM) (hrv. model očekivanje – potvrda) usredotočujući se na zadovoljstvo korisnika pametnog robotskog usisavača, namjeru nastavka korištenja i namjeru preporuke. Istraživano je kako zabrinutost oko trajanja baterije i čimbenika percipirane privatnosti utječe na zadovoljstvo i namjeru da se i dalje koristi ovaj uređaj dodavanjem u ECM model varijabli zabrinutost oko trajanja baterije, percipirana privatnost i namjera preporuke. Metodološki pristup – Sudionici istraživanja bili su korisnici pametnog robotskog usisavača u Turskoj. Kako bi se došlo do ispitanika, korištena je metoda snježne grude, jedna od metoda uzorkovanja koja nije zasnovana na vjerojatnosti, a podaci su prikupljeni korištenjem online anketnog upitnika izrađenog pomoću Google Forms alata. Sudionici su zamoljeni da podijele poveznicu ankete s ljudima koji imaju pametni robotski usisavač. U istraživanju je sudjelovalo 218 korisnika, a trajalo je od 1. ožujka do 1. svibnja 2023.Rezultati i implikacije – Korišten je SEM kao metoda analize podataka. Iako je ECM model potvrđen kao rezultat SEM analize, važno je otkriće da potrošači zabrinuti za trajanje baterije namjeravaju nastaviti koristiti pametni robotski usisivač unatoč činjenici da postoji negativan odnos između zabrinutosti oko trajanja baterije i zadovoljstva. Iako učinak percipirane privatnosti na namjeru nastavka korištenja nije bio značajan, utvrđeno je da zadovoljstvo ima značajan učinak na namjeru nastavka korištenja. Poduzeća koja koriste umjetnu inteligenciju suočavaju se s oštrom konkurencijom, a ako žele napredovati u ovom okruženju, trebaju se isticati u raznim područjima, od dizajna proizvoda, marketinga i prodajne politike pa do poslijeprodajne usluge. Uzimajući u obzir rezultate, određivanje čimbenika koji utječu na zadovoljstvo i namjeru daljnjeg korištenja robotskih usisavača bit će vodilja proizvođačima i trgovcima pametnog robotskog usisavača. Istodobno, činjenica da je predmet istražen u okviru ECM modela također će pružiti značajan doprinos literaturi. Ograničenja – Iako različiti čimbenici utječu na zadovoljstvo korisnika pametnog robotskog usisavača i želju za nastavkom korištenja, u ovom su istraživanju u ECM model uključeni samo zabrinutost oko trajanja baterije i varijable percipirane privatnosti. Sljedeće ograničenje istraživanja povezano je s uzorkom. Budući da je za dobivanje podataka korištena metoda snježne grude, rezultati se ne mogu generalizirati, a obuhvaćaju samo korisnike pametnog robotskog usisavača koji su sudjelovali u istraživanju.Doprinos – ECM model potvrde očekivanja proširen je uključivanjem varijabli zabrinutost oko trajanja baterije, percipirana privatnost i namjera preporuke. Neinformiranost potencijalnih potrošača o umjetnoj inteligenciji i pametnim robotskim usisavačima, što je vrlo fascinantno i izvor znatiželje, kao i nedostatak istraživanja ove problematike u literaturi, upućuje na značaj istraživanja. Integracijom i proširenjem ECM modela u kontekstu potrošača pametnih robotskih usisavača pružen je novi uvid u literaturu. [ABSTRACT FROM AUTHOR]

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