Organisational semiotics methods to assess organisational readiness for internal use of social media

The paper presents organisational semiotics (OS) as an approach for identifying organisational readiness factors for internal use of social media within information intensive organisations (IIO). The paper examines OS methods, such as organisational morphology, containment analysis and collateral analysis to reveal factors of readiness within an organisation. These models also help to identify the essential patterns of activities needed for social media use within an organisation, which can provide a basis for future analysis. The findings confirmed many of the factors, previously identified in literature, while also revealing new factors using OS methods. The factors for organisational readiness for internal use of social media include resources, organisational climate, processes, motivational readiness, benefit and organisational control factors. Organisational control factors revealed are security/privacy, policies, communication procedures, accountability and fallback.

Bayesian parameter estimation for latent Markov random fields and social networks

Undirected graphical models are widely used in statistics, physics and machine vision. However Bayesian parameter estimation for undirected models is extremely challenging, since evaluation of the posterior typically involves the calculation of an intractable normalising constant. This problem has received much attention, but very little of this has focussed on the important practical case where the data consists of noisy or incomplete observations of the underlying hidden structure. This paper specifically addresses this problem, comparing two alternative methodologies. In the first of these approaches particle Markov chain Monte Carlo (Andrieu et al., 2010) is used to efficiently explore the parameter space, combined with the exchange algorithm (Murray et al., 2006) for avoiding the calculation of the intractable normalising constant (a proof showing that this combination targets the correct distribution in found in a supplementary appendix online). This approach is compared with approximate Bayesian computation (Pritchard et al., 1999). Applications to estimating the parameters of Ising models and exponential random graphs from noisy data are presented. Each algorithm used in the paper targets an approximation to the true posterior due to the use of MCMC to simulate from the latent graphical model, in lieu of being able to do this exactly in general. The supplementary appendix also describes the nature of the resulting approximation.

Interpretation and expectation in childhood anxiety disorders: age effects and social specificity

Theory and treatment for childhood anxiety disorders typically implicates children’s negative cognitions, yet little is known about the characteristics of thinking styles of clinically anxious children. In particular, it is unclear whether differences in thinking styles between children with anxiety disorders and non-anxious children vary as a function of child age, whether particular cognitive distortions are associated with childhood anxiety disorders at different child ages, and whether cognitive content is disorder-specific. The current study addressed these questions among 120 7 - 12 year old children (53% female) who met diagnostic criteria for social anxiety disorder, other anxiety disorder, or who were not currently anxious. Contrary to expectations, threat interpretation was not inflated amongst anxious compared to non-anxious children at any age, although older (10 - 12 year old) anxious children did differ from non-anxious children on measures of perceived coping. The notion of cognitive-content specificity was not supported across the age-range. The findings challenge current treatment models of childhood anxiety, and suggest that a focus on changing anxious children’s cognitions is not warranted in mid-childhood, and in late childhood cognitive approaches may be better focussed on promoting children’s perceptions of control rather than challenging threat interpretations.

‘I can’t … I won’t?’ International students at the threshold of social interaction

This mixed-method study tracked social interaction and adaptation among 20 international postgraduates on a 1-year programme in the UK, examining assumptions that language proficiency and interactional engagement directly underpin sociocultural adaptation. Participants remained frustrated by a perceived ‘threshold’ barring successful interaction with English speakers, while reporting reluctance to take up available opportunities, independent of language proficiency and sociocultural adaptation. We challenge linear models of adaptation and call for assistance to international students in crossing the threshold to successful interaction.

State capitalism and social responsibility in China's banking industry

China’s financial system has experienced a series of major reforms in recent years. Efforts have been made towards introducing the shareholding system in state-owned commercial banks, restructuring of securities firms, re-organising equity of joint venture insurance companies, further improving the corporate governance structure, managing financial risks and ultimately establishing a system to protect investors (Xinhua, 2010). Financial product innovation, with the further opening up of financial markets and the development of the insurance and bond market, has increased liquidity as well as reduced financial risks. The U.S. subprime crisis indicated the benefit of financial innovations for the economy, but without proper control, they may lead to unexpected consequences. Kirkpatrick (2009) argues that failures and weaknesses in corporate governance arrangements and insufficient accounting standards and regulatory requirements attributed to the financial crisis. Similar to the financial crises of the last decade, the global financial crisis which sparked in 2008, surfaced a variety of significant corporate governance failures: the dysfunction of market mechanisms, the lack of transparency and accountability, misaligned compensation arrangements and the late response of government, all which encouraged management short-termism, poor risk management, as well as some fraudulent schemes. The unique characteristics of the Chinese banking system are an interesting point for studying post-crisis corporate governance reform. Considering that China modelled its governance system on the Anglo-American system, this paper examines the impact of the financial crisis on corporate governance reform in developed economies, and particularly, China’s reform of its financial sector. The paper further analyses the Chinese government’s role in bank supervision and risk management. In this regard, the paper contributes to the corporate governance literature within the Chinese context by providing insights into the contributing factors to the corporate governance failure that led to the global financial crisis. It also provides policy recommendations for China’s policy makers to seriously consider. The results suggest a need for the re-examination of corporate governance adequacy and the institutionalisation of business ethics. The paper’s next section provides a review of China’s financial system with reference to the financial crisis, followed by a critical evaluation of a capitalistic system and a review of Anglo-American and Continental European models. It then analyses the need for a new corporate governance model in China by considering the bank failures in developed economies and the potential risks and inefficiencies in a current State controlled system. The paper closes by reflecting the need for Chinese policy makers to continually develop, adapt and rewrite corporate governance practices capable of meeting the new challenge, and to pay attention to business ethics, an issue which goes beyond regulation.

Social innovation and social entrepreneurship a systematic review

Corporate social responsibility (CSR) literature suggests CSR initiatives extend beyond meeting the immediate interests of stakeholders of for-profit enterprises, offering the potential to also enhance performance. Growing disillusionment of for-profit business models has drawn attention to social entrepreneurship and social innovation to ease social issues. Adopting a systematic review of relevant research, the article provides collective insights into research linking social innovation with social entrepreneurship, demonstrating growing interest in the area over the last decade. The past 5 years have seen a surge in attention with particular focus on the role of the entrepreneur, networks, systems, institutions, and cross-sectoral partnerships. Based on the findings of the review, the authors synthesize formerly dispersed fields of research into an analytical framework, signposting a “systems of innovation” approach for future studies of social innovation and social entrepreneurship.

A survey of data mining techniques for social media analysis

Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters. The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism. These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44]. Data mining techniques are used for information retrieval, statistical modelling and machine learning. These techniques employ data pre-processing, data analysis, and data interpretation processes in the course of data analysis. This survey discusses different data mining techniques used in mining diverse aspects of the social network over decades going from the historical techniques to the up-to-date models, including our novel technique named TRCM. All the techniques covered in this survey are listed in the Table.1 including the tools employed as well as names of their authors.