Abstract
Technology brings green sustainable management practices to the workplace. It is important to ascertain the factors that enable or inhibit employees’ perceptions towards technology adoption. Corporate sustainability and sustainable management practices partially depend on employees for the successful implementation of technological changes in the workplace. This study aims at applying the technology acceptance model (TAM) from an employees’ user-perspective. It addresses those factors that form employee readiness for e-business and enable their intention to use e-business technologies such as decision support systems (DSS). It focuses on technology intensive firms while combining Davis’ technology acceptance model and Lai and Ong’s employee readiness for e-business (EREB) model. A survey questionnaire was used to collect the data for this cross-sectional study from 331 employees of 28 well-established small and medium-sized e-businesses located in the United Kingdom. The outcomes show that the four dimensions of EREB explain the 58.2% of variance in perceived ease of use and the 50.2% of variance in perceived usefulness. Together, perceived usefulness and perceived ease of use explain the 51.8% of variance in intention to use while fully mediating the relationship between higher order EREB construct and intention to use DSS.
Highlights
Decision support systems (DSS) form part of the Internet of Things (IoT)
In order to check whether the relation between employee readiness for e-business (EREB) and intention to use is partially or fully mediated by perceived ease of use (PEU) and perceived usefulness (PU), higher order construct of EREB was created by using a two-step approach recommended by Becker, Klein and Wetzels [117] in cases where the different constructs have different numbers of items in order to assure relatively lesser bias in results
As per the method devised by Preacher and Hayes [118], there is no mediation if the variance accounted for (VAF) value is less than 20%; full mediation if the VAF value is 80% or above and partial mediation when the values of VAF lies between 20% and 80%
Summary
Decision support systems (DSS) form part of the Internet of Things (IoT). IoT refers to a wide range of platforms, devices and technologies which are linked together on the world wide web (WWW); including varying communication patterns in different networks [1]. DSS are essentially a part of IoT. It was forecasted that IoT devices will be the largest category of connected devices in 2018 with 16 billion units [3]. The Internet is the infrastructure for IoT and WWW is the application that permits access to this infrastructure. DSS is one of the things in the IoT that operates through internal networks, analyzes data to generate reports, and communicates through the intranet as well as the Internet. IoT has numerous field applications, from tracking energy consumption to connecting software applications that optimize the traffic routes, enhancing fuel efficiency by reducing traffic jams [4] and extending assistance in biological studies [5]
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