Afraid to care; unable to care: A critical ethnography within a long-term care home

This paper describes the findings of a critical ethnographic research study conducted in an urban long-term care home. While our intention was to learn more about the culture of care, specifically as it relates to mental health care provision, the participants in the study consistently spoke with us about (what we have labeled as) a culture of compliance. In a context where new long-term care legislation is being implemented along with new, standardized resident assessment instruments, gaining a deeper understanding of the (un)intended consequences of government's efforts to ensure a high quality of care is of paramount importance. This research demonstrates how policy-driven structural mechanisms can (re)produce conditions that result in frontline staff being afraid and unable to care, and thus contributes to a better understanding of the lived experience of frontline long-term care staff who find that their caregiving responsibilities are displaced by caregiving accountabilities.     

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Qualitative research on leadership: A critical but appreciative review

This article reviews a large number of articles that derive from qualitative research on leadership that were published prior to 2004 in peer-reviewed journals. The article then goes on to examine critically but appreciatively the ways in which qualitative research on leadership is and is not distinctive. This review shows that while qualitative research has made some important contributions to certain areas of leadership, such as the role of leaders in the change process, it is sometimes not as distinctive, when compared to quantitative research, as might be supposed. The piece also examines studies that combine quantitative with qualitative research. The different ways in which the two approaches are combined is a particular emphasis in this examination. In addition, the article explores the issue of whether the corpus of research that has been accumulated by qualitative researchers can be combined with that of quantitative researchers. A central ingredient of the discussion of qualitative research is the tendency for many researchers not to build sufficiently on the studies of leadership conducted by others. It is argued that giving greater attention to this issue will allow the contributions of qualitative research on leadership to become clearer.     

Why the Home Region Matters: Location and Regional Multinationals

Much of the literature in international business analysing the multinational enterprise uses the country as the relevant environmental parameter. This paper presents both theoretical and empirical evidence to demonstrate that country‐level analysis now needs to be augmented by analysis at the ‘regional’ level of the broad triad markets of Europe, North America and the Asia Pacific. The great majority of the world's 500 largest firms concentrate their activities within their home region of the triad. This study uses variance component analysis and finds that this home region effect outperforms the country effect. Together, the regional and industry effects explain most of the geographic expansion of multinational enterprises (MNEs), whereas country, firm and year effects are very minor. The new data and variance component analysis on the activities of large MNEs reported here suggest that new thinking is required about the importance of large regions of the triad as the relevant unit of analysis for business strategy to supplement the conventional focus on the country.     

Does the Stock Market Gender Stereotype Corporate Boards? Evidence from the Market's Reaction to Directors' Trades

Attitudes towards male and female managers within organizations are well documented, but how the stock market perceives their relative capabilities is less studied. Recent evidence documents a negative short‐run market reaction to the appointment of female chief executive officers and suggests that female executives are less informed than their male counterparts about future corporate performance. These results appear to dispute the stock market value of having women on corporate boards. However, such short‐run market reactions may retain a ‘gender bias’, reflecting the prevalence of negative stereotypes, where the market reacts to ‘beliefs’ rather than ‘performance’. This study tests for such bias by examining the stock market reaction to directors' trades in their own companies' shares, by measuring both the short‐run and longer‐term returns after the directors' trades. Allowing for firm and trade effects, some evidence is found that, in the longer term, markets recognize that female executives' trades are informative about future corporate performance, although initially markets underestimate these effects. This has important implications for research that has attempted to assess the value of board diversity by examining only short‐run stock market responses.     

Strategy,core competencies and human resource development

HRD's traditional approach to competency focuses on superior individual performance. The concept of a core competency in the strategic literature, as reviewed here, considers it as an organizational capability that provides sustained competitive advantage. That model is examined and implications for HRD practice noted.     

The strategic role of Human Resource Development in managing core competencies

The Resource-Based View (R-BV) of strategy emphasizes the importance of core competencies as the critical basis for sustainable competitive advantage. Yet, discussions of strategy typically ignore the role of the Human Resource Development (HRD) function in core competency development and management. The literature on strategic HRD is reviewed to locate the R-BV as a basis for redefining HRD's role in organizational strategy. Three strategic roles for the HRD function in core competency management are proposed and discussed: participating in strategic planning, developing core competencies, and protecting them. Specific tasks for each role are proposed. The final section identifies needs for further research as well as the practical implications from this discussion.     

Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects

Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism. Though recent years have seen a tremendous improvement in instrument performance and the computational tools used, significant challenges remain, and there are many opportunities for statisticians to make important contributions. In the most widely used "bottom-up" approach to proteomics, complex mixtures of proteins are first subjected to enzymatic cleavage, the resulting peptide products are separated based on chemical or physical properties and analyzed using a mass spectrometer. The two fundamental challenges in the analysis of bottom-up MS-based proteomics are: (1) Identifying the proteins that are present in a sample, and (2) Quantifying the abundance levels of the identified proteins. Both of these challenges require knowledge of the biological and technological context that gives rise to observed data, as well as the application of sound statistical principles for estimation and inference. We present an overview of bottom-up proteomics and outline the key statistical issues that arise in protein identification and quantification.     

Preserving data utility via BART

When preparing data for public release, information organizations face the challenge of preserving the quality of data while protecting the confidentiality of both data subjects and sensitive data attributes. Without knowing what type of analyses will be conducted by data users, it is often hard to alter data without sacrificing data utility. In this paper, we propose a new approach to mitigate this difficulty, which entails using Bayesian additive regression trees (BART), in connection with existing methods for statistical disclosure limitation, to help preserve data utility while meeting confidentiality requirements. We illustrate the performance of our method through both simulation and a data example. The method works well when the targeted relationship underlying the original data is not weak, and the performance appears to be robust to the intensity of alteration.