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Today,
everything is connected to the Internet. Internet of Things (IoT), as one of
the disruptive technologies, is rising quickly.
The Internet of Things (IoT) is a hot area needs a significant research attention.
According to Gartner, “the Internet of Things Installed Base Will Grow to 26
Billion Units by 2020 “. Also, the
IoT will create incremental revenue beyond $300 billion, in 2020(Gartner, Inc.
online 20/12/2017: https://www.gartner.com/newsroom/id/2636073)

The
Internet of Things (IoT) has a high rate
of technology change that affects a whole world
(Dutton et al., 2014). The Internet of Things has
many applications in business, that the firms will face a huge effect on the future of the progress of the IoT (Bui
et al., 2014). Bsquare’s Annual IoT Maturity Study reported nearly two-thirds (73%) of all business plans to increase
their IoT investments, in spite of almost every respondent
acknowledging that IoT utilizations are complex (Bsquare, 2017).

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Many
organizations have already identified huge
opportunities offered by the IoT. According to Bonnet et al. (2014), 96
% of questioned companies stated that they are going to adopt the IoT, and 68%
stated that they are already investing in the IoT. The digital transformation
of industry permitted by the IoT adoption allows new ways for businesses to
connect and to create value (Mourtzis et al., 2016)

 

By
looking through the literature, the researcher found many previous studies
focused on the technical side of using IoT, Such as IoT focused on architectural
elements, attribute-based, and wireless sensor network (Ray, 2016; Singh et al.,
2017; Gubbi et al., 2013).  Despite the
dramatic change by IoT influenced individual, organization, and society, but
the effect of IoT not only on the technical side but also affecting on End User.
A few studies discussed adoption of IoT to understand the user perceptions toward
using new IT technology. However, a little attention has been given to the
behavioral, organizational and business issues that are essential for a better
understanding of the adoption of the IoT and user perceptions about a new
technology.

 

Adoption
of a new technology still interested field in IS. Technology adoption defined
as “the stage in which a technology is
selected for use by an individual or an organization”(Carr, 1999). Many
theories and models in IS field used to assess the users’ perception of the adoption. One of them the Technology
Acceptance Model (TAM) developed by Davis. However, the TAM model proved more
powerful and able to explain the variation in the acceptance of technology
better than other models (Jaafreh, 2011).  A Few studies have examined the acceptance of
IoT by users (Gao & Bai, 2014).  Ma
(2011) recommended that further study and research is vital to expanding a better understanding of what the
IoT adoption would mean from the multidimensional
viewpoint.

 

TAM model assumed that two constructs are mainly decided
to predict and explaining user behavior toward using
a new system. However, the researcher sees
not only these two constructs but also
national cultures variables have a critical
drive in shaping user behavior because of the act depend on beliefs and
norms of the user. A Few studies discussed that such as Jaafreh
(2012). Also, a lack of exact measurement of variables suggests further work needed to
increase our understanding of the adoption
of IS.

 

 

Accordingly,
the purpose of this research is to
develop a framework of the adoption of
IoT based on extending TAM to include national cultures as dimension added for the adoption of IoT by the end user, to explore
whether national culture influences users’ perception toward actual usage and the
role national
cultures in influencing the acceptance of IoT.

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