CSR: the co-evolution of grocery multiples in the UK (2005-2010)

Purpose – The purpose of this paper is to investigate if CSR is balanced between firm and wider society interests. Design/methodology/approach – A qualitative interpretive hermeneutic approach is used to analyse a variety of publically published secondary sources on the CSR of Tesco, Sainsburys, Morrisons and Co-operative in the UK grocery multiple sector (2005-2010). Findings – CSR strategic outcomes currently favour the firm more than society interests. A multilayered framework in the form of Social Responsibility of the Corporation (SRC) is designed and offered in support of balancing the business-society relationship more evenly. Research limitations/implications – This study is limited to firms originating from within the UK grocery multiple sector. Asda could not be included in the study as it does not publish CSR reports annually in the UK after becoming part of Walmart group. Practical implications – A framework for multi-level standardised definition of CSR in the form of SRC is offered. The inclusion of employees and members of the public on CSR/SRC boards is recommended to foster wider collaboration. The SRC framework promotes standardisation at global level while respecting diversity and firm heterogeneity at firm level. The findings may further contribute to GRI; UN Global Compact; WEF dialogues. Social implications – Recommendations are made to extend CSR board diversity for improved dialogue with communities. The SRC framework may be applied at global; national; industry and firm level. The framework can be applied internationally or locally. Future studies may offer quantitative attributes for balancing CSR/SRC. Originality/value – A globally unique and universally applicable framework for evaluating CSR activities is proposed. Future studies may extend the authors' framework to other industries, national environments or globally in the pursuit of balance between firm and society. Furthermore, firms may also adopt the framework to support CSR activities.

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

Algorithms for computer-aided diagnosis of dementia based on structural MRI have demonstrated high performance in the literature, but are difficult to compare as different data sets and methodology were used for evaluation. In addition, it is unclear how the algorithms would perform on previously unseen data, and thus, how they would perform in clinical practice when there is no real opportunity to adapt the algorithm to the data at hand. To address these comparability, generalizability and clinical applicability issues, we organized a grand challenge that aimed to objectively compare algorithms based on a clinically representative multi-center data set. Using clinical practice as the starting point, the goal was to reproduce the clinical diagnosis. Therefore, we evaluated algorithms for multi-class classification of three diagnostic groups: patients with probable Alzheimer's disease, patients with mild cognitive impairment and healthy controls. The diagnosis based on clinical criteria was used as reference standard, as it was the best available reference despite its known limitations. For evaluation, a previously unseen test set was used consisting of 354 T1-weighted MRI scans with the diagnoses blinded. Fifteen research teams participated with a total of 29 algorithms. The algorithms were trained on a small training set (n = 30) and optionally on data from other sources (e.g., the Alzheimer's Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of aging). The best performing algorithm yielded an accuracy of 63.0% and an area under the receiver-operating-characteristic curve (AUC) of 78.8%. In general, the best performances were achieved using feature extraction based on voxel-based morphometry or a combination of features that included volume, cortical thickness, shape and intensity. The challenge is open for new submissions via the web-based framework: http://caddementia.grand-challenge.org.

Situation assessment through multi-modal sensing of dynamic environments to support cognitive robot control

Awareness of emerging situations in a dynamic operational environment of a robotic assistive device is an essential capability of such a cognitive system, based on its effective and efficient assessment of the prevailing situation. This allows the system to interact with the environment in a sensible (semi)autonomous / pro-active manner without the need for frequent interventions from a supervisor. In this paper, we report a novel generic Situation Assessment Architecture for robotic systems directly assisting humans as developed in the CORBYS project. This paper presents the overall architecture for situation assessment and its application in proof-of-concept Demonstrators as developed and validated within the CORBYS project. These include a robotic human follower and a mobile gait rehabilitation robotic system. We present an overview of the structure and functionality of the Situation Assessment Architecture for robotic systems with results and observations as collected from initial validation on the two CORBYS Demonstrators.

Managing the complexity of information flow for construction small and medium-sized enterprises (CSMEs) using system dynamics and collaborative technologies

With the increase in e-commerce and the digitisation of design data and information,the construction sector has become reliant upon IT infrastructure and systems. The design and production process is more complex, more interconnected, and reliant upon greater information mobility, with seamless exchange of data and information in real time. Construction small and medium-sized enterprises (CSMEs), in particular,the speciality contractors, can effectively utilise cost-effective collaboration-enabling technologies, such as cloud computing, to help in the effective transfer of information and data to improve productivity. The system dynamics (SD) approach offers a perspective and tools to enable a better understanding of the dynamics of complex systems. This research focuses upon system dynamics methodology as a modelling and analysis tool in order to understand and identify the key drivers in the absorption of cloud computing for CSMEs. The aim of this paper is to determine how the use of system dynamics (SD) can improve the management of information flow through collaborative technologies leading to improved productivity. The data supporting the use of system dynamics was obtained through a pilot study consisting of questionnaires and interviews from five CSMEs in the UK house-building sector.

Spirit of corporate social responsibility transforming from corporatism to socialized capitalism

This paper offers a critique of current corporate social responsibility (CSR) practices in context of global trends. The legitimate modelling of CSR has yet to engage firm and political decision making with wider Society stakeholders. There is urgent need to transform towards socialized capitalism in which separate CSR board may focus on social and environmental concerns and offer more collaborative solutions to global/local CSR issues. This is underpinned with a need for returning to original moral purpose of CSR that has become eroded by narrower short term rational justifications.

Fashionline: CSR case of a U.K. fashion retailer

This paper presents findings from a corporate social responsibility (CSR) case-study of a UK fashion retailer informed through 22 multi-level internal and 5 external semi-structured interviews. Our research explores the relationship between various stakeholders and their perceptions of CSR issues. Sixteen themes emerge. We find disparity in CSR perceptions at different levels of organization and in views of consumers. Our recommendations are that the UK fashion retailer needs to – better understand normative purpose of CSR and in doing so balance social and environmental factors more equally; engage more widely at an early stage with broader stakeholders (global supply chain; consumers, employees, local populations, regulators, industry players); and better communicate (at different levels internally) along with integrate (external policy makers and with industry) design and implementation of CSR strategies. The authors conclude a gap remains for better CSR frameworks for the UK fashion retailer.