Iterative subspace analysis based on feature line distance

Nearest feature line-based subspace analysis is first proposed in this paper. Compared with conventional methods, the newly proposed one brings better generalization performance and incremental analysis. The projection point and feature line distance are expressed as a function of a subspace, which is obtained by minimizing the mean square feature line distance. Moreover, by adopting stochastic approximation rule to minimize the objective function in a gradient manner, the new method can be performed in an incremental mode, which makes it working well upon future data. Experimental results on the FERET face database and the UCI satellite image database demonstrate the effectiveness.

Managing the human resource in Indian SMEs:The role of indigenous realities

This paper discusses how issues of people management are addressed in Indian small and medium enterprises (SMEs). It also highlights the indigenous approaches to human resource management (HRM) that have surfaced in the Indian SME context. The research formulation has been built on the mapping of people-management practices in two SME case studies, one of which is also a family-based organization. The analysis shows that indigenous realities in HRM in Indian SMEs relate mainly to the provision of financial, emotional and social support to the workforce; employee involvement (EI) practices; recruitment; skill development; managing employee relations; and managing vis-à-vis labor law framework. The paper argues that in the sphere of people management in SMEs, the willingness to innovate and formalize the HR systems is constrained by a kind of bounded rationality, i.e., the owners of SMEs mostly believe that they are already doing what is humanly possible in this regard. The analysis has an important message for concerned practitioners—in order to realize their full potential and to progress towards fulfilling their vision; SMEs eventually have to intertwine indigenization and formalization for their people management approaches.

Analysis of constructivist, network-based discourses:concepts, prospects, and illustrations

The authors propose a new approach to discourse analysis which is based on meta data from social networking behavior of learners who are submerged in a socially constructivist e-learning environment. It is shown that traditional data modeling techniques can be combined with social network analysis - an approach that promises to yield new insights into the largely uncharted domain of network-based discourse analysis. The chapter is treated as a non-technical introduction and is illustrated with real examples, visual representations, and empirical findings. Within the setting of a constructivist statistics course, the chapter provides an illustration of what network-based discourse analysis is about (mainly from a methodological point of view), how it is implemented in practice, and why it is relevant for researchers and educators.

Forecasting and risk analysis applied to management planning and control

The aim of this research was to improve the quantitative support to project planning and control principally through the use of more accurate forecasting for which new techniques were developed. This study arose from the observation that in most cases construction project forecasts were based on a methodology (c.1980) which relied on the DHSS cumulative cubic cost model and network based risk analysis (PERT). The former of these, in particular, imposes severe limitations which this study overcomes. Three areas of study were identified, namely growth curve forecasting, risk analysis and the interface of these quantitative techniques with project management. These fields have been used as a basis for the research programme. In order to give a sound basis for the research, industrial support was sought. This resulted in both the acquisition of cost profiles for a large number of projects and the opportunity to validate practical implementation. The outcome of this research project was deemed successful both in theory and practice. The new forecasting theory was shown to give major reductions in projection errors. The integration of the new predictive and risk analysis technologies with management principles, allowed the development of a viable software management aid which fills an acknowledged gap in current technology.

Calculating the balance between water resources and water demands:an approach using risk analysis

Predicting future need for water resources has traditionally been, at best, a crude mixture of art and science. This has prevented the evaluation of water need from being carried out in either a consistent or comprehensive manner. This inconsistent and somewhat arbitrary approach to water resources planning led to well publicised premature developments in the 1970's and 1980's but privatisation of the Water Industry, including creation of the Office of Water Services and the National Rivers Authority in 1989, turned the tide of resource planning to the point where funding of schemes and their justification by the Regulators could no longer be assumed. Furthermore, considerable areas of uncertainty were beginning to enter the debate and complicate the assessment It was also no longer appropriate to consider that contingencies would continue to lie solely on the demand side of the equation. An inability to calculate the balance between supply and demand may mean an inability to meet standards of service or, arguably worse, an excessive provision of water resources and excessive costs to customers. United Kingdom Water Industry Research limited (UKWlR) Headroom project in 1998 provided a simple methodology for the calculation of planning margins. This methodology, although well received, was not, however, accepted by the Regulators as a tool sufficient to promote resource development. This thesis begins by considering the history of water resource planning in the UK, moving on to discuss events following privatisation of the water industry post·1985. The mid section of the research forms the bulk of original work and provides a scoping exercise which reveals a catalogue of uncertainties prevalent within the supply-demand balance. Each of these uncertainties is considered in terms of materiality, scope, and whether it can be quantified within a risk analysis package. Many of the areas of uncertainty identified would merit further research. A workable, yet robust, methodology for evaluating the balance between water resources and water demands by using a spreadsheet based risk analysis package is presented. The technique involves statistical sampling and simulation such that samples are taken from input distributions on both the supply and demand side of the equation and the imbalance between supply and demand is calculated in the form of an output distribution. The percentiles of the output distribution represent different standards of service to the customer. The model allows dependencies between distributions to be considered, for improved uncertainties to be assessed and for the impact of uncertain solutions to any imbalance to be calculated directly. The method is considered a Significant leap forward in the field of water resource planning.

Building a competitive advantage through sustainable operations strategy

This paper addresses an important gap in sustainability and technology management studies: the strategies for sustainable operations. Based on analysis of cases from automotive, textile, chemical, and food processing industries, the authors discuss the responses companies take to environmental and social pressures when aiming at increasing profitability. Our findings show that adaptations of traditional operations strategy frameworks can be useful when developing and assessing sustainability strategy for operations. Lastly, we also offer definitions for ‘sustainable operations strategy’ and ‘sustainable technology’ as those are not yet established in the literature. We consider the contribution of this article to be linked to the development and evaluation of sustainable operations strategies, which will invariably include the choice and use of technologies.

Logics of marginalisation in health and social care reform:integration, choice, and provider-blind provision

The period 2010–2013 was a time of far-reaching structural reforms of the National Health Service in England. Of particular interest in this paper is the way in which radical critiques of the reform process were marginalised by pragmatic concerns about how to maintain the market-competition thrust of the reforms while avoiding potential fragmentation. We draw on the Essex school of political discourse theory and develop a ‘nodal’ analytical framework to argue that widespread and repeated appeals to a narrative of choice-based integrated care served to take the fragmentation ‘sting’ out of radical critiques of the pro-competition reform process. This served to marginalise alternative visions of health and social care, and to pre-empt the contestation of a key norm in the provision of health care that is closely associated with the notions of ‘any willing provider’ and ‘any qualified provider’: provider-blind provision.

Early design verification of complex assembly variability using a hybrid - model based and physical testing - methodology

Design verification in the digital domain, using model-based principles, is a key research objective to address the industrial requirement for reduced physical testing and prototyping. For complex assemblies, the verification of design and the associated production methods is currently fragmented, prolonged and sub-optimal, as it uses digital and physical verification stages that are deployed in a sequential manner using multiple systems. This paper describes a novel, hybrid design verification methodology that integrates model-based variability analysis with measurement data of assemblies, in order to reduce simulation uncertainty and allow early design verification from the perspective of satisfying key assembly criteria.

Robust tensor analysis with L1-norm

Tensor analysis plays an important role in modern image and vision computing problems. Most of the existing tensor analysis approaches are based on the Frobenius norm, which makes them sensitive to outliers. In this paper, we propose L1-norm-based tensor analysis (TPCA-L1), which is robust to outliers. Experimental results upon face and other datasets demonstrate the advantages of the proposed approach. © 2006 IEEE.

Quantitative analysis of solid-state processes studied with isothermal microcalorimetry

Quantitative analysis of solid-state processes from isothermal microcalorimetric data is straightforward if data for the total process have been recorded and problematic (in the more likely case) when they have not. Data are usually plotted as a function of fraction reacted (α); for calorimetric data, this requires knowledge of the total heat change (Q) upon completion of the process. Determination of Q is difficult in cases where the process is fast (initial data missing) or slow (final data missing). Here we introduce several mathematical methods that allow the direct calculation of Q by selection of data points when only partial data are present, based on analysis with the Pérez-Maqueda model. All methods in addition allow direct determination of the reaction mechanism descriptors m and n and from this the rate constant, k. The validity of the methods is tested with the use of simulated calorimetric data, and we introduce a graphical method for generating solid-state power-time data. The methods are then applied to the crystallization of indomethacin from a glass. All methods correctly recovered the total reaction enthalpy (16.6 J) and suggested that the crystallization followed an Avrami model. The rate constants for crystallization were determined to be 3.98 × 10-6, 4.13 × 10-6, and 3.98 × 10 -6 s-1 with methods 1, 2, and 3, respectively. © 2010 American Chemical Society.

Non-normally distributed data and non-parametric statistics

Different types of numerical data can be collected in a scientific investigation and the choice of statistical analysis will often depend on the distribution of the data. A basic distinction between variables is whether they are ‘parametric’ or ‘non-parametric’. When a variable is parametric, the data come from a symmetrically shaped distribution known as the ‘Gaussian’ or ‘normal distribution’ whereas non-parametric variables may have a distribution which deviates markedly in shape from normal. This article describes several aspects of the problem of non-normality including: (1) how to test for two common types of deviation from a normal distribution, viz., ‘skew’ and ‘kurtosis’, (2) how to fit the normal distribution to a sample of data, (3) the transformation of non-normally distributed data and scores, and (4) commonly used ‘non-parametric’ statistics which can be used in a variety of circumstances.

The evolving role of information specialists:change agents in process redesign

The research investigates the past, present and potential future role of Information Specialists (ISps) in process oriented companies. It tests the proposition that ISps in companies that have undertaken formal process reengineering exercises are likely to become more proactive and more business oriented (as opposed to technically oriented) than they had previously been when their organisations were organised along traditional, functional lines. A review of existing literature in the area of Business Process Reengineering and Information Management reveals a lack of consensus amongst researchers concerning the appropriate role for ISps during and after BPR. Opinion is divided as to whether IS professionals should reactively support BPR or whether IT/IS developments should be driving these initiatives. A questionnaire based ‘Descriptive Survey’ with 60 respondents is used as a first stage of primary data gathering. This is followed by follow-up interviews with 20 of the participating organisations to gather further information on their experiences. The final stage of data collection consists of further in-depth interview with four case study companies to provide an even richer picture of their experiences. The results of the questionnaire are analysed and displayed in the form of simple means, frequencies and bar graphs. The ‘NU-DIST’ computer based discourse analysis package was tried in relation to summarising the interview findings, but this proved cumbersome and a visual collation method is preferred. Overall, the researcher contends that the supposition outlined above is proven, and she concludes the research by suggesting the implications of these findings. In particular she offers a ‘Framework for Understanding and Action’ which is deemed to be relevant to both practitioners and future researchers.

Expatriate managers adjustment and its impact on subordinates reactions: a cross cultural leadership study of Kenya and Ethiopia

Research on culture, leadership and adjustment shows that societal culture influences leadership in such a way that it can impact on expatriate managers' effectiveness and adjustment in a new culture. In previous research, cultural background, personality, motives or behaviour of expatriate managers and their followers' reactions to them have been investigated in Europe, America and Asia. However, little attention has been paid on research on expatriate managers in African cultures especially in Eastern Africa. The present study represents an attempt to address the gap by examining how societal culture, leadership and adjustment success are interrelated for expatriate managers in Kenya and Ethiopia. Questionnaire data were obtained from a) local middle managers (N=160) for studying societal culture and leadership in Kenya and Ethiopia, b) expatriate managers in non-governmental organizations - NGOs (N=28) for studying expatriate managers' personality, motives and adjustment success and c) their immediate subordinates (N=125) for studying the expatriate managers' behaviours and their subordinates' reactions to them. Additionally, expatriate managers were interviewed and responses were coded for implicit motives, experiences and adjustment. SPSS was used to analyse data from questionnaires to obtain cultural and leadership dimensions, leader behaviour and subordinate reactions. The NVIVO computer based disclosure analysis package was used to analyse interview data. Findings indicate that societal culture influences leadership behaviours and leadership perceptions while the expatriate managers' motives, behaviours, personality and the cross cultural training they received prior to their assignment impact on the expatriates' adjustment success and on subordinates' reactions to them. The cultural fit between expatriate managers' home country (19 countries) and the target country (Kenya or Ethiopia) had no significant association with adjustment success but was positively related to expatriate behaviour and negatively associated with subordinates reactions. However, some particular societal practices - obviously adopted by expatriates and transferred to their target country - did predict subordinates' commitment, motivation and job satisfaction. Furthermore, expatriates' responsibility motivation was positively related to their adjustment success. Regarding leadership behaviours and effectiveness, expatriate' supportive behaviours predicted subordinates' job satisfaction most strongly. Expatriate managers expressing their management philosophies and experience shed light on the various aspects of adjustment and management of NGOs. In addition, review of Kenyan and Ethiopian cultures and the NGO context in these countries offers valuable information for expatriate managers. This study's general imphcation for Cross Cultural Management and lnternational Human Resources Management is that the combination of culture general and culture specific knowledge and reflections on Eastern Africa countries can inform senior management and international HR staff about the critical issue of what to include in training, coaching, and actual experience in a particular host country in order to ensure effective leadership. Furthennore, this knowledge is expected to influence expatriate managers' behaviour modification to enhance positive subordinate reactions. Questions about how to prepare expatriate managers and subordinates to work more competently and sensitively across cultures are addressed. Further theoretical implications, limitations of the study and directions for future research are also addressed.

Dimensions of perception and recognition of danger

Despite abundant literature on human behaviour in the face of danger, much remains to be discovered. Some descriptive models of behaviour in the face of danger are reviewed in order to identify areas where documentation is lacking. It is argued that little is known about recognition and assessment of danger and yet, these are important aspects of cognitive processes. Speculative arguments about hazard assessment are reviewed and tested against the results of previous studies. Once hypotheses are formulated, the reason for retaining the reportory grid as the main research instrument are outlined, and the choice of data analysis techniques is described. Whilst all samples used repertory grids, the rating scales were different between samples; therefore, an analysis is performed of the way in which rating scales were used in the various samples and of some reasons why the scales were used differently. Then, individual grids are looked into and compared between respondents within each sample; consensus grids are also discussed. the major results from all samples are then contrasted and compared. It was hypothesized that hazard assessment would encompass three main dimensions, i.e. 'controllability', 'severity of consequences' and 'likelihood of occurrence', which would emerge in that order. the results suggest that these dimensions are but facets of two broader dimensions labelled 'scope of human intervention' and 'dangerousness'. It seems that these two dimensions encompass a number of more specific dimensions some of which can be further fragmented. Thus, hazard assessment appears to be a more complex process about which much remains to be discovered. Some of the ways in which further discovery might proceed are discussed.

Shaping strategic action through the rhetorical construction and exploitation of ambiguity

This paper extends existing understandings of how actors' constructions of ambiguity shape the emergent process of strategic action. We theoretically elaborate the role of rhetoric in exploiting strategic ambiguity, based on analysis of a longitudinal case study of an internationalization strategy within a business school. Our data show that actors use rhetoric to construct three types of strategic ambiguity: protective ambiguity that appeals to common values in order to protect particular interests, invitational ambiguity that appeals to common values in order to invite participation in particular actions, and adaptive ambiguity that enables the temporary adoption of specific values in order to appeal to a particular audience at one point in time. These rhetorical constructions of ambiguity follow a processual pattern that shapes the emergent process of strategic action. Our findings show that (1) the strategic actions that emerge are shaped by the way actors construct and exploit ambiguity, (2) the ambiguity intrinsic to the action is analytically distinct from ambiguity that is constructed and exploited by actors, and (3) ambiguity construction shifts over time to accommodate the emerging pattern of actions.