Defining the domain of corporate social responsibility (CSR) in tourism organisations : a preliminary view from stakeholders in Thailand's accommodation sector

This paper aims to define the domain of Corporate Social Responsibility (CSR) for hotel and accommodation organizations in Thailand. It seeks to integrate the diverse components of CSR as defined within the general business/management, tourism and stakeholder literatures. A review of existing literature, codes of practice and standards, identify three broad CSR components – economic issues, social/ethical issues and environmental – although each of the standards varied in terms of the definition and emphasis applied. The components were ‘aggregated’ within each of the broad management and tourism literature, these two sets of groupings were then aggregated into one overarching set of CSR issues. Semi-structured interviews were then undertaken with 38 key informants from hotel and resort businesses in Thailand to identify their views toward the applicability of these over-arching components to hotel and accommodation organisations.

The results of the aggregation of standards suggest that CRS approaches within general business tend to be more socially/ethically orientated whereas within the tourism area approaches tend to be more environmentally orientated. Key respondents’ views were generally consistent with the three broad issues of the integrated CSR domain, although some issues were identified as more salient to hotel and accommodation organisations than others. The paper suggests that there is a need to develop CSR measures and indicators applicable and reflective of the different environmental, legal, cultural and local setting.

A pseudosymmetric cell adhesion regulatory domain in the β7 tail of the integrin α4β7 that interacts with focal adhesion kinase and src

The β7 integrins α4β7 and Eβ7 play key roles in forming the gut-associated lymphoid tissue, and contribute to chronic inflammation. The α4β7 integrin-mediated adhesion of activated lymphocytes is largely due to a transient increase in avidity from ligand-induced clustering of α4β7 at the cell-surface. Here, we report that L and D enantiomers of a cell-permeable peptide YDRREY encompassing residues 735-740 of the cytoplasmic tail of the β7 subunit inhibit the adhesion of T cells to β7 integrin ligands. The YDRREY peptide abrogated mucosal addressin cell adhesion molecule-1-induced clustering of α4β7 on the surface of activated T cells. A mutated form of the YDRREY peptide carrying either single or double conservative mutations at Tyr⁷³⁵Phe and Tyr⁷⁴⁰Phe was unable to inhibit T cell adhesion, suggesting that both tandem tyrosines are critical for activity. The YDRREY peptide was bound and phosphorylated by focal adhesion kinase and src, which may serve to sequester cytoskeletal proteins to the cytoplasmic domain of 4β7. The quasi-palindromic sequence YDRREY within the β7 cytoplasmic tail constitutes a cell adhesion regulatory domain that modulates the interaction of β7-expressing leukocytes with their endothelial and epithelial ligands. Cell-permeable peptidomimetics based on this motif have utility as anti-inflammatory reagents for the treatment of chronic inflammatory disease.

Swapping roles or swapping desks? When experienced practitioners become students on placement

The social work education literature on the preparation of students for their first practice learning placement, and the support needs of such students once in placement, tend to include implicit assumptions that the students being placed are novice practitioners, with little experience of working in social welfare agencies. Although there are some students for whom these assumptions are undoubtedly correct, another common phenomenon is that practice experience often leads to practitioners enrolling in professional degrees to qualify as a social worker. As credit for prior work experience in social welfare settings has only recently become possible for Australian social work students, we routinely work with aggrieved students who believe they should be exempted from placements, some of whom subsequently find the transition from experienced practitioner to student on placement somewhat difficult. This paper reports on a study which sought to explore the specific needs of experienced practitioners who become social work students on practice learning placements, with the aim of developing procedural recommendations for the placement and support of such students in the future. One of our findings was that several of the students continued to identify as practitioners, albeit in a different agency or programme from their normal place of employment, rather than take on the student identity. The implications of this for the development of practice learning opportunities for students who are experienced practitioners will be discussed.

Stability and convergence analysis of transform-domain LMS adaptive filters with second-order autoregressive process

In this paper, the stability and convergence properties of the class of transform-domain least mean square (LMS) adaptive filters with second-order autoregressive (AR) process are investigated. It is well known that this class of adaptive filters improve convergence property of the standard LMS adaptive filters by applying the fixed data-independent orthogonal transforms and power normalization. However, the convergence performance of this class of adaptive filters can be quite different for various input processes, and it has not been fully explored. In this paper, we first discuss the mean-square stability and steady-state performance of this class of adaptive filters. We then analyze the effects of the transforms and power normalization performed in the various adaptive filters for both first-order and second-order AR processes. We derive the input asymptotic eigenvalue distributions and make comparisons on their convergence performance. Finally, computer simulations on AR process as well as moving-average (MA) process and autoregressive-moving-average (ARMA) process are demonstrated for the support of the analytical results.

On performance of transform domain adaptive filters with Markov-2 inputs

In this paper, the analysis for the performance of the discrete Fourier transform LMS adaptive filter (DFT-LMS) and the discrete cosine transform LMS adaptive filter (DCT-LMS) for the Markov-2 inputs is presented. To improve the convergence property of the least mean squares (LMS) adaptive filter, the DFT-LMS and DCT-LMS preprocess the inputs with the fixed orthogonal transforms and power normalization. We derive the asymptotic results for the eigenvalues and eigenvalue distributions of the preprocessed input autocorrelation matrices with DFT-LMS and DCT-LMS for Markov-2 inputs. These results explicitly show the superior decorrelation property of DCT-LMS over that of DFT-LMS, and also provide the upper bounds for the eigenvalue spreads of the finite-length DFT-LMS and DCT-LMS adaptive filters. Simulation results are demonstrated to support the analytic results.

New methods for objective evaluation of fabric pilling by frequency domain image processing

Fabric pilling is a serious problem for the apparel industry. Resistance to pilling is normally tested by simulated accelerated wear and manual assessment of degree of pilling based on a visual comparison of the sample to a set of test images. A number of automated systems based on image analysis have been developed. The authors propose new methods of image analysis based on the two-dimensional wavelet transform to objectively measure the pilling intensity in sample images. Initial work employed the detail coefficients of the two-dimensional discrete wavelet transform (2DDWT) as a measure of the pilling intensity of woven/knitted fabrics.

This method is shown to be robust to image translation and brightness variation. Using the approximation coefficients of the 2DDWT, the method is extended to non-woven pilling image sets. Wavelet texture analysis (WTA) combined with principal components analysis are shown to produce a richer texture description of pilling for analysis and classification. Finally, employing the two-dimensional dual-tree complex wavelet transform as the basis for the WTA feature vector is shown to produce good automated classification on a range of standard pilling image sets.

Knowledge creation in an application domain : a hermeneutic study

In this paper we discuss a special case of knowledge creation (pattern mining) that was studied using a hermeneutic circle. Hermeneutics assists the oscillation between tacit and explicit knowledge through the process of knowledge qualification, combination, socialization, externalization, internalization and introspection. Our investigation of the knowledge creation process lead to the enrichment of the knowledge creation framework proposed by Wickramasinghe and Lichtenstein, allowing us to reflect on activities and aspects of knowledge elicitation across an application domain and involving practitioners who do not communicate directly.