80
been applied to explore privacy challenges between organizations and
consumers, as too have justice theories e.g. procedural and distributive
justice. However, few studies have combined these theoretical concepts to
provide a balanced view of these tensions in the cloud computing landscape. Integrating concepts from these theories, we construct a framework
that can help to explain and position a CSP’s privacy orientation. Four key
privacy orientations emerge in our framework, namely: Risk Managers,
Integrators, Citizens and Warriors. We discuss the implications of each
privacy orientation for CSPs. Our framework will enable future research to
further understand, explore and compare the impact and effectiveness of
each privacy orientation.
Keywords Cloud computing • Data privacy • Data protection •
Control theories • Justice theories • Procedural justice •
Distributive justice
5.1
IntroductIon
The high cost of maintaining internal IT systems that are scalable, robust,
and fast enough to keep pace with the speed of business, has ushered in
the era of cloud computing services. Global cloud market revenues are
predicted to increase from U$180b in 2015 to U$390b in 2020, attaining
17% annual average growth (Forbes 2017). All indicators for the growth
of cloud computing, such as data traffic, the number of data centers or the
amount of cloud service providers (CSPs) are also predicted to grow exponentially (Cisco 2018a). Whether applied to enterprise management systems, email systems or mobile computing, cloud computing both increases
efficiency and reduces information technology costs by allowing ondemand access to a shared pool of computing resources that can be rapidly
provisioned and released with minimal management effort (Mell and
Grance 2011). However, although cloud computing’s benefits are tremendous, security and privacy concerns continue to be the primary obstacles to wide adoption (CSA 2009).
Cloud computing presents particularly challenging issues for privacy as
it involves the dispersal of data across servers in geographically dispersed
locations that often cross national and legislative boundaries, together
V. LYONS
been applied to explore privacy challenges between organizations and
consumers, as too have justice theories e.g. procedural and distributive
justice. However, few studies have combined these theoretical concepts to
provide a balanced view of these tensions in the cloud computing landscape. Integrating concepts from these theories, we construct a framework
that can help to explain and position a CSP’s privacy orientation. Four key
privacy orientations emerge in our framework, namely: Risk Managers,
Integrators, Citizens and Warriors. We discuss the implications of each
privacy orientation for CSPs. Our framework will enable future research to
further understand, explore and compare the impact and effectiveness of
each privacy orientation.
Keywords Cloud computing • Data privacy • Data protection •
Control theories • Justice theories • Procedural justice •
Distributive justice
5.1
IntroductIon
The high cost of maintaining internal IT systems that are scalable, robust,
and fast enough to keep pace with the speed of business, has ushered in
the era of cloud computing services. Global cloud market revenues are
predicted to increase from U$180b in 2015 to U$390b in 2020, attaining
17% annual average growth (Forbes 2017). All indicators for the growth
of cloud computing, such as data traffic, the number of data centers or the
amount of cloud service providers (CSPs) are also predicted to grow exponentially (Cisco 2018a). Whether applied to enterprise management systems, email systems or mobile computing, cloud computing both increases
efficiency and reduces information technology costs by allowing ondemand access to a shared pool of computing resources that can be rapidly
provisioned and released with minimal management effort (Mell and
Grance 2011). However, although cloud computing’s benefits are tremendous, security and privacy concerns continue to be the primary obstacles to wide adoption (CSA 2009).
Cloud computing presents particularly challenging issues for privacy as
it involves the dispersal of data across servers in geographically dispersed
locations that often cross national and legislative boundaries, together
V. LYONS