Managing Differentiation‐Integration Duality in Supply Chain Integration*

Existing research focuses on the positive returns to operational performance of firms’ supply chain integration (SCI) with suppliers, buyers, and customers. We draw on differentiation‐integration duality and contingency theory to suggest that manufacturing firms should seek to achieve both integration through supply chain coordination activities and differentiation through modularity‐based manufacturing practices (MBMP). Using a sample of 261 manufacturing firms, we identify an inverse U‐shaped relationship between SCI and operational performance. Furthermore, we find support for the importance of differentiation‐integration duality as a fit between high levels of SCI and high levels of MBMP results in enhanced operational performance. We find support for a contingency perspective as fit is especially critical at higher levels of environmental uncertainty. Implications for theory, practice, and further research are suggested.     

Perspectives of South African caregivers in receipt of Child Support Grants: Implications for family strengthening interventions

Cash transfers have delivered measurable benefits for poor and vulnerable children in low‐ and middle‐income countries. However, on its own, a cash transfer is insufficient to promote holistic child well‐being. In the quest for appropriate complementary family support services, known as ‘cash plus’ programing, this qualitative study sought to explore the perspectives of a group of South African caregivers, all of whom were in receipt of a Child Support Grant (CSG), in relation to their own caregiving and family functioning. Critical areas of support to families were identified to further scale up the already positive impacts of the CSG, such as mental health services, social supports for caregivers, decreasing levels of poverty and growing caregiving knowledge and skills. Key conclusions are that improving the quality and integration of public services and developing culturally appropriate and evidence‐based family strengthening programmes are critical to complement and boost the positive impacts of the CSG.     

Transforming child and family services in urban communities in South Africa: lessons from the South

Post‐apartheid, South African agencies have been required to shift their services in fundamental ways, including offering services in previously un‐resourced areas, honouring the rights of children and families, ensuring that users, staff and governing bodies are representative of the population and providing developmental social welfare services in place of child protection‐oriented interventions only. A study of urban South African child welfare agencies provides insight into the complex task of managing and leading change. In view of overloaded change agenda and resource constraints, managers focused on effecting incremental change and prioritized the most ‘rewarding’ change efforts. Transforming practice towards a developmental approach was less successful. Structural interventions were also not prioritized. Child welfare agencies internationally face demands to transform in response to the effects of local change and globalization. The study's insights might resonate with agencies working for change in other societal contexts.     

Posterior analysis of the compound Rayleigh distribution under balanced loss functions for censored data

This paper develops Bayesian analysis in the context of progressively Type II censored data from the compound Rayleigh distribution. The maximum likelihood and Bayes estimates along with associated posterior risks are derived for reliability performances under balanced loss functions by assuming continuous priors for parameters of the distribution. A practical example is used to illustrate the estimation methods. A simulation study has been carried out to compare the performance of estimates. The study indicates that Bayesian estimation should be preferred over maximum likelihood estimation. In Bayesian estimation, the balance general entropy loss function can be effectively employed for optimal decision-making.     

Evaluating the iterative development of VR/AR human factors tools for manual work

This paper outlines the approach taken to iteratively evaluate a set of VR/AR (virtual reality / augmented reality) applications for five different manual-work applications - terrestrial spacecraft assembly, assembly-line design, remote maintenance of trains, maintenance of nuclear reactors, and large-machine assembly process design - and examines the evaluation data for evidence of the effectiveness of the evaluation framework as well as the benefits to the development process of feedback from iterative evaluation. ManuVAR is an EU-funded research project that is working to develop an innovative technology platform and a framework to support high-value, high-knowledge manual work throughout the product lifecycle. The results of this study demonstrate the iterative improvements reached throughout the design cycles, observable through the trending of the quantitative results from three successive trials of the applications and the investigation of the qualitative interview findings. The paper discusses the limitations of evaluation in complex, multi-disciplinary development projects and finds evidence of the effectiveness of the use of the particular set of complementary evaluation methods incorporating a common inquiry structure used for the evaluation - particularly in facilitating triangulation of the data.     

Deducing a taxonomy of perceived managerial and leadership effectiveness: a comparative study of effective and ineffective managerial behaviour across three EU countries

This qualitative multiple case derived etic study focuses on perceived managerial and leadership effectiveness. It explores what employees in various organizations, organizational sectors and culturally diverse nations perceive as effective and ineffective managerial behaviour. Empirical findings from six emic replication studies carried out previously within three European Union countries were subjected to cross-case, cross-sector, and cross-nation comparative analysis. High degrees of sameness and similarity were found. Further analysis led to the emergence of a behavioural taxonomy comprised of 10 positive (effective) and 9 negative (ineffective) behavioural criteria. We find that managers and non-managerial staff in British and Romanian public-sector hospitals, and in British and German private-sector companies, perceive effective and ineffective managerial behaviour in much the same way. Our findings challenge past literature which argues that managers need to adopt different managerial behaviours to be effective in different organizational sectors and countries.     

‘Localising’ humanitarian action: reflections on delivering women's rights-based and feminist services in an ongoing crisis

ABSTRACT

This article shares the experiences of Women Now for Development, a women's organisation working with Syrian women in Syria and neighbouring countries. The key questions under consideration are whether important policy commitments to empower local actors are bearing fruit in practice and identify some of the challenges that still frustrate working with women and girls in humanitarian settings. This article aims to consider whether localisation is more than a current ‘buzz-word’.     

The Impact of Leadership Characteristics on Corporate Performance

We identify three attributes of a firm that exert significant positive impact on stock return performance of companies. Specifically, quality of management, financial soundness and quality of products/services indicators are critical for successful financial performance. We then discuss the leadership characteristics that are necessary to positively affect these attributes. We believe this information provides insights into the type of leadership characteristics that result in improved financial performance. This revised version was published online in July 2006 with corrections to the Cover Date.     

Estimation of parameters of Misclassified Size Biased Discrete Lindley Distribution

In this paper, a two-parameter discrete distribution named Misclassified Size Biased Discrete Lindley distribution is defined under the situation of misclassification where some of the observations corresponding to x = c + 1 are reported as x = c with misclassification errorα. Different estimation methods like maximum likelihood estimation, moment estimation, and Bayes Estimation are considered to estimate the parameters of Misclassified Size Biased Discrete Lindley distribution. These methods are compared by using mean square error through simulation study with varying sample sizes. Further general form of factorial moment is also obtained for Misclassified Size Biased Discrete Lindley distribution. Real life data set is used to fit Misclassified Size Biased Discrete Lindley distribution.