Technology Readiness and Likelihood to Use Self-Checkout Services Using Smartphone in Retail Grocery Stores: Empirical Evidences from Hyderabad, India

Abstract

Present study is an attempt to measure technology readiness of Indian customers towards self checkout service (SCS) through mobile app at retail stores at Hyderabad, India. Self-checkout services (SCS), a key offering of self service technology (SST), 'is the technological enablement of customers to make payments and complete a checkout, after shopping, with little or no interaction with a service employee.' Researchers also studied correlations between technology readiness, perceived usefulness, perceived ease of use, and likelihood to use SCS. For the purpose of the study TRI 2.0 developed by Parasuraman and Colby (2015) was used along with items of perceived usefulness and perceived ease of use, adapted from Davis (1989), and items of 'likelihood to use' adapted from Bitner, Ostrom and Meuter (2002). The findings of the study reveal that respondents' technology readiness was moderate with respect to mobile based SCS. Significant positive correlations were found between: technology readiness and perceived ease of use, perceived ease of use and perceived usefulness, perceived ease of use and likelihood to use, perceived usefulness and likelihood to use. Further the respondents were categorised in to five technology segments as sceptics, explorers, pioneers, avoiders and hesitators.

Continuity of Use of Food Delivery Apps: An Integrated Approach to the Health Belief Model and the Technology Readiness and Acceptance Model

“…Previous studies have also linked technology readiness to users' behavioral intentions in various technology adoption contexts such as self-service technologies [86], online stock trading systems [17], and self-checkout services using smartphones [87], among others. Regarding the relationship between these two variables, the literature reports several results.…”

“…Regarding the relationship between these two variables, the literature reports several results. Some studies found a positive direct effect (e.g., [86]), others support indirect effects through other variables such as perceived usefulness and ease of use [17], and others indicated lack of significant relationship (e.g., [87]). Blut and Wang [16] in their metaanalysis about TR constructs and its impact on technology usage found an indirect effect of technology readiness on usage intention via TAM mediators (ease of use and usefulness).…”

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“…The first influential publications using the referred instrument began in 2018. Mukerjee, Deshmukh, and Prasad (2018) used the TRI 2.0 to assess smartphone use in self-checkout services and concluded that Indian consumers were moderately ready to use new technologies. Wiese and Humbani (2019) applied the TRI 2.0, highlighting that mobile users are optimistic about using them but are still unsure about their purchasing experience.…”

A User Readiness Model of Social Media for Learning among Polytechnic Students in Nigeria

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