Simon Cleveland

Social Media Systems in the Workplace: Toward Understanding Employee Knowledge Creation via Microblogging within Shared Knowledge Domains

Adoption of social media systems (SMS), proprietary microblogging platforms in particular, for the purposes of information sharing has been increasingly on the rise among corporations. While Twitter is the preferred microblogging tool by the general public, there is scant research to address its viability as a conduit to facilitate knowledge creation among corporate users. As a result, this conceptual paper explores seven crucial Twitter features and derives to seven propositions that demonstrate how microblogging can enable knowledge creation among employees within shared knowledge domain.

Using Evolutionary Systems and Ideation Techniques to Enhance Student Cybersecurity Learning

Evolution is an established biological theory, but basic concepts can be abstracted and applied to the education domain for knowledge sharing. There is a gap in literature that explores how evolutionary processes can be applied to cybersecurity education. This paper presents an evolutionary algorithm and pairs it with an ideation technique to illustrate how certain evolutionary processes can be applied to cybersecurity education and learning.

Organizational Information Dissemination Within Collaborative Networks Using Digital Communication Tools

Knowledge transfer among employees remains a challenge for many organizations. With the increased adoption rate of corporate social media collaboration technologies, there is an urgent need to determine the factors that enhance information diffusion among employees. The current study leverages prior research on social media collaboration performed in the public domain to determine whether the dimensions of tie strength have any effect on information diffusion among corporate users of social media technologies. Analysis of 511 Lync messages related to a training topic at a mid-sized South Central corporation was performed. The preliminary results demonstrated that the dimensions of tie strength (intimacy, structural, and social) were highly correlated to the number of messages among users. Moreover, regression analysis showed that three quarters of the messages were also predicted by the dimensions of tie strength.

Microblogging in higher education: Digital Natives, knowledge creation, social engineering, and intelligence analysis of educational tweets

With the rise of Web 2.0, microblogging has become a widely accepted phenomenon for sharing information. Moreover, the Twitter platform has become the tool of choice for universities looking to increase their digital footprint. However, scant research addresses the viability of microblogging as a tool to facilitate knowledge creation practices among higher education students. This paper proposes a model to explain how students, as digital natives, leverage the features of the Twitter microblogging for the transfer of knowledge. Finally, the paper examines the dark side of Twitter as a privacy-leaking platform and issues a call to higher institutions for specific security policies to prevent nefarious use.

Knowledge flow in the open innovation model the effects of ICT capacities and open innovation practices on knowledge streams

The open innovation model (OI) allows high-tech firms to enhance internal R&D capabilities by acquiring knowledge from external sources (inward knowledge flow), as well as to maximize earnings by using external paths to market for internally generated knowledge (outward knowledge flow). To accomplish this, firms that adopt the OI model capitalize on a set of OI practices and specific technologies to facilitate the inward and outward knowledge streams. In this study, we argue that the dimensions of OI practices have a direct effect on knowledge flow. Furthermore, by leveraging the media synchronicity theory, we propose that information and communication technology (ICT) capacities moderate the effects of these dimensions. A causal model to explain the relationships between the variables is proposed.