Linking key antecedents of hotel information management system adoption to innovative work behavior through attitudinal engagement

Abstract

PurposeThe paper aims to examine the relationship between the key antecedents of hotel information management system (HIMS) adoption and innovative work behavior (IWB) with attitudinal engagement as a mediator.Design/methodology/approachSurvey data were obtained from 297 full-time employees in five-star hotels in Uganda. With the help of Analysis of Moment Structures (AMOS), seven hypotheses were tested and analyzed using structural equation modeling (SEM).FindingsBoth perceived usefulness and perceived ease of use are significant determinants of IWB. The study also confirms attitudinal engagement as a significant predictor of IWB. Importantly, attitudinal engagement was found to be a partial mediator in both the perceived usefulness and the perceived ease–IWB relationships.Practical implicationsThe study’s findings will guide managers in formulating policies that promote employee display of vigor, absorption and dedication to work. Hospitality and tourism firms can now keep their workers abreast with the latest technology at work so as to help them exhibit engagement tendencies as well as generating new ideas for the organization.Originality/valueThe proposed framework provides a fresh theoretical explanation for IWB in hotels with perceived technology beliefs and attitudinal engagement as major drivers, hence contributing to the current state of knowledge. The study demonstrates that engagement acts as a link for the transfer of part of the contributions of both perceived usefulness (PUHIMS) and perceived ease of use of HIMS (PEUHIMS) into IWB.

Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model

“…This study also investigated and demonstrated engagement as a mediator between performance expectancy and the CUI (H10a) and between effort expectancy and the CUI (H10b); past researchers [23,24] also indicated similar results, but in general technology domains like m-BI and gaming apps. Finally, the effects of performance expectancy and effort expectancy on the CUI mediated by satisfaction (i.e., H11a and H11b) were also advocated by the current study and past analyses performed by Zhou et al [27], Rahi et al [53], and Iqbal et al [74].…”

“…In the field of HIMS, Omuudu et al [ 24 ] reported engagement as a significant mediator in the relationship between perceived usefulness and ease of use to innovative work behavior. Peters et al [ 20 ] confirmed the indirect effect of m-BI characteristics, including usefulness, accessibility, flexibility, and interface attractiveness, on the usage frequency via engagement.…”

“…In contrast, such research in the context of video-based teleconsultations run on mobile apps or web portals remains untested. Thirdly, earlier research on hotel information management systems (HIMS), mobile-business intelligence (m-BI), and gaming apps presents engagement as a mechanism through which stimuli can sustain usage intentions [ 23 , 24 ]. However, such a strong mediation effect remains unexamined in the telemedicine context.…”

Precedence analysis of customer engagement dimensions for tourism destinations: an evidence-based modeling using RIDIT-GRA approach

“…However, the latter case generally happens during travel, when tourists concentrate on the destination's offering and compare it with what is being promoted when they search for the destination. Therefore, tourism managers should focus on effective promotion of the destination and providing credible information about the destination's offerings (Omuudu et al , 2022), as it creates a huge impression in tourists' minds. Because if the tourists find a huge gap between the promised and delivered service, they might get involved in the negative promotion of the destination, considering it inauthentic.…”

An integrative model of facial recognition check-in technology adoption intention: the perspective of hotel guests in Singapore

“…The existing hospitality literature supported the positive links between perceived ease of use, perceived usefulness, attitudes and behavioral intention in the context of new technologies (Go et al, 2020;Huang et al, 2019;Kim, 2016;Kim et al, 2008;Kim and Qu, 2014;Morosan, 2012a;Omuudu et al, 2022). Despite the wide-ranging validation of TAM in the hospitality industry, the theoretical model should be expanded across technological settings to grasp a more solid insight into new technology adoption, which can lead to a successful practical implementation (King and He, 2006).…”