For academia, we contribute to a more nuanced conceptualization of the IT artifact (i.e., system) through a feature-oriented lens and a preference-based approach. We contribute to both academia and practice.
![safemonk safenet safemonk safenet](https://www.itvoice.in/wp-content/uploads/2013/09/itvoice-SafeNet-logo.jpg)
We apply our findings to the privacy-aware design of mass-market IS and evaluate their implications on user adoption. The results include a “Framework for Conjoint Analysis Studies in IS” and methodological guidance for applying CA. We aim at supporting the design of mass-market IS by establishing a reliable understanding of consumer’s preferences for multiple factors combing functional, non-functional and economic aspects. CA has gained popularity in IS research, however little guidance is provided for its application in the domain. More specifically, conjoint analysis (CA), from market research, can add user preference measurements for designing high-utility IS. We argue that IS needs to embrace market research techniques to understand and empirically assess user preferences and perceptions in order to integrate the "voice of the customer" in a mass-market scenario. Although these approaches contribute to theoretical understanding of the adoption and use of IS in mass-markets, they are criticized for not being able to drive actionable insights on IS design as they consider the IT artifact as a black-box (i.e., they do not sufficiently address the system internal characteristics). IS research has suggested several theories and models to explain user adoption and intentions to use, among them the IS Success Model and the Technology Acceptance Model (TAM). Understanding user requirements and the factors that drive user adoption are crucial for successful design of such systems.
#Safemonk safenet software#
With cloud and mobile computing, a new category of software products emerges as mass-market information systems (IS) that addresses distributed and heterogeneous end-users. Consequently, SaaS providers will be able to develop user-centered services that minimize their privacy concerns and maximize their benefits.
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For SaaS providers, this study will enhance their understanding on the most salient privacy issues raised by individual users and how to address them by increasing the key benefits driving adoption. For researchers, this study will provide an empirically-verified framework focused on privacy issues and key benefits specific to SaaS at individual level which, to the best of our knowledge, has not been developed.
![safemonk safenet safemonk safenet](https://cdn.ttgtmedia.com/visuals/LeMagIT/hero_article/Dropbox-Extension.png)
We expect this study to have both academic and practical implications. The purpose of this study is to understand the specific privacy concerns that inhibit SaaS adoption and analyze the key benefits that are weighted against such privacy concerns by individual users in their decision process of using SaaS. Among them, privacy has emerged as the key inhibitor of SaaS adoption and use among individual users. However, the challenges that come with SaaS are equally highlighted and deserve careful attention from researchers. Software-as-a-Service, a new model of accessing software presents individual users with tremendous opportunities to work and live conveniently and efficiently.