The Relationship Between Adolescents’ Perceived Parental Involvement,Self-Efficacy Beliefs,and Subjective Well-Being: A Multiple Mediator Model

The aim of this study was to examine the mediation roles of academic self-efficacy, social self-efficacy, and emotional self-efficacy on the relationships between parental involvement (i.e., paternal involvement and maternal involvement) and subjective well-being (i.e., positive affect, negative affect, and life satisfaction) in Malaysian adolescents. Participants were 802 Malaysian high school students from 14 public schools, with an age range of 15–17 years. Results of a multiple mediator model indicated that academic self-efficacy and social self-efficacy were unique mediators in the relationships between parental involvement (both paternal involvement and maternal involvement) and adolescent positive affect. Besides, academic self-efficacy was found to be the only unique mediator in the relationships between parental involvement and adolescent life satisfaction. Emotional self-efficacy did not uniquely mediate the relationships between parental involvement and adolescent positive affect and life satisfaction. None of the proposed mediators uniquely mediated the relationships between parental involvement and adolescent negative affect. This study suggests that paternal involvement is just as crucial to adolescent positive development as maternal involvement. In addition, this study also extends our insight into the specific roles of academic, social, and emotional self-efficacy in the relationship between parental involvement and the components of subjective well-being among adolescents.     

Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels

Urban road tunnels provide an increasingly cost‐effective engineering solution, especially in compact cities like Singapore. For some urban road tunnels, tunnel characteristics such as tunnel configurations, geometries, provisions of tunnel electrical and mechanical systems, traffic volumes, etc. may vary from one section to another. These urban road tunnels that have characterized nonuniform parameters are referred to as nonhomogeneous urban road tunnels. In this study, a novel quantitative risk assessment (QRA) model is proposed for nonhomogeneous urban road tunnels because the existing QRA models for road tunnels are inapplicable to assess the risks in these road tunnels. This model uses a tunnel segmentation principle whereby a nonhomogeneous urban road tunnel is divided into various homogenous sections. Individual risk for road tunnel sections as well as the integrated risk indices for the entire road tunnel is defined. The article then proceeds to develop a new QRA model for each of the homogeneous sections. Compared to the existing QRA models for road tunnels, this section‐based model incorporates one additional top event—toxic gases due to traffic congestion—and employs the Poisson regression method to estimate the vehicle accident frequencies of tunnel sections. This article further illustrates an aggregated QRA model for nonhomogeneous urban tunnels by integrating the section‐based QRA models. Finally, a case study in Singapore is carried out.     

Strategic Maneuvers for Outsourcing Flexibility: An Empirical Assessment

Tan and Sia (2006) conceptualize outsourcing flexibility within a set of four dimensions: robustness, modifiability, new capability, and ease of exit, and propose a portfolio of preemptive, protective, exploitive, and corrective maneuvers to manage flexibility in outsourcing. In this article, we build upon their proposed framework by anchoring the strategic maneuvers through a multitheoretic lens and empirically validate the research propositions. A survey of 171 outsourcing projects in Singapore was conducted. The findings bear evidence that the four proposed dimensions of outsourcing flexibility are conceptually distinct and that different strategic maneuvers contribute differently to the various flexibility dimensions. The empirical findings also affirm the importance of structuring flexibility for outsourcing success, with some flexibility dimensions manifesting different intensity in enabling outsourcing success for IT outsourcing versus business process outsourcing. We conclude by proposing a more holistic approach for effective flexibility management in outsourcing and highlighting research gaps that may need deeper theorizing and empirical extension.     

The satisfaction of non-family employees with High Involvement HR practices: evidence from family SMEs

Most family businesses employ more non-family employees than family employees, making them a crucial resource for family small-to-medium enterprises (SMEs). Thus, family SMEs must pay particular attention to developmental needs of such employees. However, there is limited empirical knowledge concerning how Family SMEs can manage and develop their non-family employees. Drawing on organizational justice theory, this study set out to investigate how and why non-family employees are satisfied with the High Involvement HR practices (HIHRPs) adopted by family SMEs. Empirical evidence was drawn from the experiences of 16 non-family employees from six SME family-owned enterprises. Findings suggest that a balance between formal and informal HIHRPs is need among family SMEs for non-family employees to be satisfied with them. Moreover, satisfaction with both formal and informal HIHRPs can encourage non-family employees’ engagement with the enterprise and the development of their skills and capabilities. Findings also suggest that the satisfaction with HIHRPs varies with respect to the organizational positioning of non-family employees. Our findings make a valuable and timely contribution to the human resource development and SME literatures in general.     

Trends in International and Internal Teacher Mobility in Three Pacific Island Countries

High‐skilled migration has increasingly been the subject of migration research over the past decade, but the focus has tended to be on health and IT professionals. In this paper, we address the mobility of schoolteachers in a region that has so far received little attention, the Pacific Islands. It is timely to examine trends in teacher mobility in the Pacific, given the shortages that are occurring elsewhere. In particular, the tailoring of immigration policies to attract highly skilled workers in areas of shortage could impact on the Pacific. The focus of the paper is on emigration and we argue that of three countries studied, only Fiji is negatively affected by teacher mobility. The Cook Islands and Vanuatu are currently experiencing low levels of international teacher emigration. Levels of internal mobility are also investigated in an attempt to see if remote areas and outer islands are experiencing teacher shortages. The preference for working near one’s land or on one’s home island is a strong drawcard in bringing people back home to teach. A problem arises, however, when not enough people are trained from a region/island and the incentives to encourage others to go and work there are less than effective.     

Which Skilled Temporary Migrants Become Permanent Residents and Why?1

While most countries of destination of temporary migrants expect them to return home, it is likely that some temporary migration will become permanent if the migrants decide that they would like to remain longer or indefinitely for various reasons. This paper examines the factors associated with temporary migrants’ decision to become or not become permanent residents and the reasons for their decision, using survey data on skilled temporary migrants in Australia. It also looks at whether temporary migration facilitates or substitutes for permanent migration and discusses the likely effectiveness of temporary migration programs that assume temporary migrants will return home.     

Approaches to sample size calculation for clinical trials in rare diseases

We discuss 3 alternative approaches to sample size calculation: traditional sample size calculation based on power to show a statistically significant effect, sample size calculation based on assurance, and sample size based on a decision‐theoretic approach. These approaches are compared head‐to‐head for clinical trial situations in rare diseases. Specifically, we consider 3 case studies of rare diseases (Lyell disease, adult‐onset Still disease, and cystic fibrosis) with the aim to plan the sample size for an upcoming clinical trial. We outline in detail the reasonable choice of parameters for these approaches for each of the 3 case studies and calculate sample sizes. We stress that the influence of the input parameters needs to be investigated in all approaches and recommend investigating different sample size approaches before deciding finally on the trial size. Highly influencing for the sample size are choice of treatment effect parameter in all approaches and the parameter for the additional cost of the new treatment in the decision‐theoretic approach. These should therefore be discussed extensively.     

A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables*

The existing literature on the impact of information technology (IT) does not include rigorous theory building or empirical studies. This research seems to be the first comprehensive investigation towards the development of an empirically validated comprehensive model for understanding the potential impact of IT on organizational strategic variables. More specifically, organizational and industrial variables that appeared to be affected by IT are identified, measured, and operationalized in the form of a comprehensive model. This study is based on structured interviews with a carefully selected sample of 31 strategic managers who had experience using IT for strategic decisions. In addition, the variables included in the model are well grounded in the information systems literature. The variables are then empirically validated and their reliabilities critically tested. A comprehensive model is derived from these validated variables. The model is a first step towards measuring the overall potential impact of IT on an organization. The model can also be used to gauge IT's potential impact on individual strategic variables. A set of hypotheses is also presented for future research. The hypotheses primarily relate to the impact of IT on organizational strategic performance. The model provides an empirically validated foundation for testing of such hypotheses.