Page 13 - IIM(V)Issue_10 Feb_V4
P. 13

RESEARCH @ IIMV






           Meta-analytic bivariate analysis was used to test the relationships
           in the proposed model. Further, by performing moderation analysis,
           this meta-analysis resolves inconsistencies in the findings reported in
           the  domain’s  literature.  Performance  expectancy,  effort  expectancy,
           social  influence,  facilitating  conditions,  and  perceived  risk  determine
           perceived value, while perceived value has a significant positive impact

           on usage behaviour which in turn triggers satisfaction, trust, and
           loyalty. Moderation analysis indicates that these effects can vary in the
           OFD literature depending on various contextual and methodological
           moderators.  This  review,  being  the  pioneer  meta-analysis  in  OFD
           domain,  advances  the  domain’s  literature.  Practically,  the  findings
           provide several implications for enhancing consumers’ perceived value
           and customer responses to OFD services.

           Click here to read the paper.

           Revolutionizing retail: The transformative power of service

           robots on shopping dynamics
           Nivin Vinoi, Amit Shankar, Reeti Agarwal, Rsha Alghafes
           Journal of Retailing and Consumer Services  (ABDC-A)

           The retail sector is witnessing a significant transition as Retail Service
           Robots (RSRs) become more widely deployed. This paper investigates
           the factors influencing customer acceptance of RSRs based on their
           interaction  experiences  with these  robots.  While  existing  literature
           predominantly  examines  human-robot  interaction  (HRI)  from  a

           technological perspective, there is a lack of focus on the social
           dimensions of interacting with physical robots. Through  this study
           we are trying to fill this gap by looking into the factors that influence
           customer  acceptance  and  rejection  of  RSRs.  A  qualitative  study
           addressed this gap, gathering data from 38 participants through open-
           ended essays. We identified 15 dimensions clustered into two primary
           themes: reasons for and against RSRs customer acceptance. Reasons

           for  consumer  acceptance  of  RSRs  include  conversational  agility,
           performance expectancy, immersion, perceived anthropomorphism,
           interactivity, authenticity, intimacy, and homophily. Conversely, reasons
           against consumer acceptance encompass vulnerability, technological
           complexity, exhaustion, stiff kinesics, technology readiness, social
           anxiety, and  privacy  concerns.  The  implication  of our  study  extends
           RSRs  literature  by  exploring  crucial  factors  for  RSRs  adoption.  This
           study also provides actionable insights for retail managers and service
           robot developers to build a favourable environment for RSRs adoption.

           Click here to read the paper.



       11 VOL.6/ ISSUE 1, SEP-DEC 2024
   8   9   10   11   12   13   14   15   16   17   18