Leadership in higher education : The normative project of the common good in conditions of globalization, Universiti Sains Malaysia (USM), and APEX in Malaysia

In this paper, the author discusses the reform agenda undertaken by UniversitiSains Malaysia (USM) to contextualise higher education reform within culturaland social theory. It is important to understand leadership in leading reformwithin a broader and more holistic fashion that takes into account localculture, politics and history. University Sains Malaysia is embarking on what isreferred to as the APEX agenda. The APEX strategy in Malaysia is an importantapproach towards achieving world-class status university institutions. The ApexUniversities will be the nation’s centres of academic distinction. Ensuring andbuilding upon the ethical authority that APEX gives USM, the challenge of leadership in USM is to engage in the forces of globalization and modernizationwhile at the same time take cognizance of the characteristics and demands ofMalaysian culture as central still to the successful mission of USM.

The planning theory and natural law

The practical, normative dimension of planning is a plausible source of the ‘family resemblances’ noted by a number of legal theorists between Scott Shapiro’s Planning Theory and natural law jurisprudence. Foremost among these resemblances is Shapiro’s contention that the law, necessarily, has a moral aim. The moral aim thesis is at first glance surprising given Shapiro’s intention to defend exclusive legal positivism and unequivocal rejection of what he takes to be the core commitments of natural law theory. Shapiro’s claim, however, is that although the law necessarily has a moral aim, this does not entail that it is successful in satisfying that aim. In order to assess this thesis, it is helpful to compare the Planning Theory with contemporary natural law approaches. Bringing Shapiro’s Planning Theory into dialogue with contemporary natural law theories can demonstrate some of the Planning Theory’s weaknesses as an alternative explanation of the ultimate grounds of the authoritativeness of legal norms. Some of these weaknesses, moreover, are instructive beyond the specific contours of the Planning Theory insofar as they generalise to other legal positivist approaches. In section one I consider Shapiro’s treatment of the so-called ‘Possibility Puzzle’ regarding the grounding relation between authoritative norms and legal authority. Shapiro’s denial of the capacity of earlier jurisprudential theories to resolve this puzzle overlooks what is – I suggest – a plausible solution developed by John Finnis on the basis of Joseph Raz’s theory of practical reason and norms. Section two then demonstrates why Shapiro’s attempt to combine a robust construal of the social facts thesis with a commitment to the thesis that law necessarily has a moral aim is ultimately unsuccessful.

Majors in mental health nursing: issues of sustainability and commitment

PURPOSE: Major streams in mental health nursing in undergraduate nursing programs were introduced in Australia as a strategy to address current and projected workforce shortages. Of the 14 programs originally planned or implemented, only five are continuing. DESIGN AND METHODS: A qualitative exploratory study was conducted involving in-depth interviews with representatives of universities that had ceased the major streams or abandoned plans to introduce them. FINDINGS: Significant themes from interview material on abandoned programs were efficient use of resources, expertise, and problems with registration. On the programs now terminated significant themes were viability and commitment to mental health nursing. PRACTICE IMPLICATIONS: These findings suggest demonstrable and sustainable commitment to mental health nursing is a precursor to success of major streams and advancement of the mental health nursing specialty.

A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources

The penetration of intermittent renewable energy sources (IRESs) into power grids has increased in the last decade. Integration of wind farms and solar systems as the major IRESs have significantly boosted the level of uncertainty in operation of power systems. This paper proposes a comprehensive computational framework for quantification and integration of uncertainties in distributed power systems (DPSs) with IRESs. Different sources of uncertainties in DPSs such as electrical load, wind and solar power forecasts and generator outages are covered by the proposed framework. Load forecast uncertainty is assumed to follow a normal distribution. Wind and solar forecast are implemented by a list of prediction intervals (PIs) ranging from 5% to 95%. Their uncertainties are further represented as scenarios using a scenario generation method. Generator outage uncertainty is modeled as discrete scenarios. The integrated uncertainties are further incorporated into a stochastic security-constrained unit commitment (SCUC) problem and a heuristic genetic algorithm is utilized to solve this stochastic SCUC problem. To demonstrate the effectiveness of the proposed method, five deterministic and four stochastic case studies are implemented. Generation costs as well as different reserve strategies are discussed from the perspectives of system economics and reliability. Comparative results indicate that the planned generation costs and reserves are different from the realized ones. The stochastic models show better robustness than deterministic ones. Power systems run a higher level of risk during peak load hours.

Normative data for the strengths and difficulties questionnaire for young children in Australia

AIM: The aim of this study was to report normative data for the parent-reported Strengths and Difficulties Questionnaire (SDQ) from a large population cohort of young children aged 4-6 years from Victoria, Australia, to establish age- and sex-specific cut-off values for future use, and to determine the scale reliability of the SDQ for children aged 4-6 years. METHODS: Parents of children (n = 53 372) entering their first year of school in Victoria in 2010 completed a survey via a 15-page School Entrant Health Questionnaire reporting on the physical and emotional well-being of their child (including the SDQ), use of child health and other support services, and a range of socio-demographic variables. Reliability was assessed and norms generated. Appropriate cut-off values for each SDQ scale and total difficulties scale were generated for each age group separately for each sex. RESULTS: The five scales of the SDQ and total difficulties scale generally had acceptable internal reliability. Mean SDQ scale scores differed for both sex and age, although only a narrow age range is examined in this study. Cut-off values were marginally higher for girls (lower for prosocial) and generally increased with age. CONCLUSIONS: This study has utilised a large Australian population sample of children to generate age- and sex-specific cut-off values that define SDQ scores as 'normal', 'borderline' or 'abnormal' for Australian children aged 4-6 years.

The impact of franchisor support, brand commitment, brand citizenship behavior, and franchisee experience on franchisee-perceived brand image

Purpose: This study examines the impact of franchisor support, brand commitment, brand citizenship behavior, and franchisee experience on franchisee-perceived brand image (FPBI). Methodology: The hypotheses were tested using survey data from retail franchisees in Australia, structural equation modeling, and bootstrapping regression methods. Findings: The results show that both brand commitment and brand citizenship behavior mediate the effect of franchisor support on FPBI. However, the effect of franchisor support on FPBI via brand commitment is higher for franchisees with less experience compared to their more experienced counterparts. Practical implications: The study provides insights to franchise managers and B2B practitioners on factors that enhance FPBI. Originality/value: Despite the recognized importance of franchise brands, limited research examines how leveraging the franchise brand can improve franchisee performance. To address this gap, this study examines the effects of franchisor support on FPBI via brand commitment and brand citizenship behavior moderated by franchisee experience.

The role of a care-orientation in the teens in young adult psychosocial wellbeing

Abstract
The transition from adolescence to young adulthood is a watershed period in development that carries risk for poor psychosocial adjustment. It also carries potential for positive transitions into the caregiving roles and responsibilities of adult life. Research to date has predominantly focused on adolescent predictors of problematic rather than positive transitions; yet predictors of the latter hold equal (if not greater) promise for informing health promoting interventions. The purpose of this study was threefold: (1) to use Latent Profile Analysis (LPA) to define patterns of psychosocial adjustment and maladjustment in young adulthood (21-years of age); (2) to examine the unique role of adolescent prosocial behaviour (e.g., volunteering and civic engagement) in promoting adjustment and reducing maladjustment in young adulthood; and, (3) to examine whether protective developmental relationships are maintained after adjustment for other covariates including socio-economic background factors and personality characteristics. Data were drawn from the Victorian cohort of the International Youth Development Study (IYDS; N = 2407), a representative sample of students in Victoria, Australia. Students were assessed in Grade 9 (Mean age = 15-years) and followed up at age 21-years. LPA identified three psychosocial adjustment classes at age 21 defined as: (1) Adjusted (24.8 %); (2) Normative (63.9 %); and, (3) Maladjusted (11.3 %). Adolescent volunteering, belief in a moral order, family opportunities for prosocial behaviour, and commitment to school were associated with enhanced adjustment and reduced maladjustment in young adulthood. Findings highlight the potential benefit of interventions designed to enhance adolescent prosocial behaviours and care orientation in promoting healthy transitions into young adult life.

What factors influence the organizational commitment of public sector employees in China? The role of extrinsic, intrinsic and social rewards

This study investigates the relationship between extrinsic, intrinsic and social rewards, and the organizational commitment of 239 Chinese public sector employees. Hierarchical regression analysis revealed that although variables included to measure extrinsic and social rewards were strongly related to organizational commitment, variables included to measure intrinsic rewards had limited influence. These findings suggest that the antecedents of organizational commitment in the Chinese public sector are significantly different from those in the Chinese private sector and public sector organizations in the West. © 2013 © 2013 Taylor & Francis.

Organizational rewards and employee commitment: a Chinese study

Purpose: The purpose of this study is to assess how the cultural value orientations of individual employees moderate their attitudinal responses to different categories of organizational rewards. Specifically, it seeks to examine how one dimension of traditionality, respect for authority, moderates the relationship between affective organizational commitment and three variables: pay satisfaction, autonomy and satisfaction with supervision. Design/methodology/approach: Hierarchical regression analysis was utilized to analyze survey data obtained from a sample of 290 employees of a major Chinese airline company. Findings: Employees high in traditionality were found to exhibit higher levels of affective commitment when autonomy and satisfaction with supervision was low. When autonomy and satisfaction with supervision was high employees low in traditionality exhibited higher levels of emotional attachment to the organization. Research limitations/implications: The cross-sectional design is an obvious limitation of the study. Another limitation relates to the generalizability of the study findings outside the context in which the research was undertaken. Social implications: Organizations should consider taking the cultural orientations of their workforce into account when developing appropriate human resource policies aimed at heightening employee commitment. This should enhance employee well-being, which is especially important in a global economy characterized by uncertainty and rapid change. Originality/value: This is the first study to examine how employees with different cultural value orientations respond to different categories of organizational rewards, in a predominantly traditional society.

Organizational commitment in Chinese small- and medium-sized enterprises: the role of extrinsic, intrinsic and social rewards

This study investigates the relationship between organizational rewards and employee commitment in Chinese small- and medium-sized enterprises (SMEs). Hierarchical regression analysis was utilized to analyse survey data from 286 employees of 11 organizations. In line with what was hypothesized extrinsic rewards were found to be strongly related to both affective and continuance commitment, whereas satisfaction with supervision and role clarity positively influenced affective commitment. In contrast to previous empirical findings, autonomy and training provision were only found to influence continuance commitment. These findings have significant managerial implications regarding the utility of providing organizational rewards to enhance the commitment of Chinese employees. In order to promote employee commitment, SME managers could start by giving their employees greater autonomy and clarity regarding their role in the organization, as well as improving supervisor support. These are relatively inexpensive measures compared to the costly alternatives of improving extrinsic benefit packages and investing in employee training.

The impact of employee perceptions of training on organizational commitment and turnover intentions: a study of multinationals in the Chinese service sector

This study examines the impact of employee perceptions of training on organizational commitment, and the latter's relationship with turnover intentions. Structured equation modelling is conducted on survey data from 437 Chinese employees of five multinational enterprises operating in the Chinese service sector. The results of the survey are consistent with social exchange theory. They highlight the importance of training as a tool to enhance the affective organizational commitment of employees, and reduce turnover. The findings differ from that of previous studies in non-Chinese settings. No evidence was found to indicate that motivation to learn and the perceived benefits of training impact on the organizational commitment of employees. This may be explained by three factors: the involuntary nature of employee training, the limited career development opportunities on offer to local employees of multinational enterprises and the difficulty employees face in applying learnt skills given cultural differences. The implications for research and practice are discussed.

Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: a comparative study

The uncertainties of renewable energy have brought great challenges to power system commitment, dispatches and reserve requirement. This paper presents a comparative study on integration of renewable generation uncertainties into SCUC (stochastic security-constrained unit commitment) considering reserve and risk. Renewable forecast uncertainties are captured by a list of PIs (prediction intervals). A new scenario generation method is proposed to generate scenarios from these PIs. Different system uncertainties are considered as scenarios in the stochastic SCUC problem formulation. Two comparative simulations with single (E1: wind only) and multiple sources of uncertainty (E2: load, wind, solar and generation outages) are investigated. Five deterministic and four stochastic case studies are performed. Different generation costs, reserve strategies and associated risks are compared under various scenarios. Demonstrated results indicate the overall costs of E2 is lower than E1 due to penetration of solar power and the associated risk in deterministic cases of E2 is higher than E1. It implies the superimposed effect of uncertainties during uncertainty integration. The results also demonstrate that power systems run a higher level of risk during peak load hours, and that stochastic models are more robust than deterministic ones.

Incorporating wind power forecast uncertainties into stochastic unit commitment using neural network-based prediction intervals

Penetration of renewable energy resources, such as wind and solar power, into power systems significantly increases the uncertainties on system operation, stability, and reliability in smart grids. In this paper, the nonparametric neural network-based prediction intervals (PIs) are implemented for forecast uncertainty quantification. Instead of a single level PI, wind power forecast uncertainties are represented in a list of PIs. These PIs are then decomposed into quantiles of wind power. A new scenario generation method is proposed to handle wind power forecast uncertainties. For each hour, an empirical cumulative distribution function (ECDF) is fitted to these quantile points. The Monte Carlo simulation method is used to generate scenarios from the ECDF. Then the wind power scenarios are incorporated into a stochastic security-constrained unit commitment (SCUC) model. The heuristic genetic algorithm is utilized to solve the stochastic SCUC problem. Five deterministic and four stochastic case studies incorporated with interval forecasts of wind power are implemented. The results of these cases are presented and discussed together. Generation costs, and the scheduled and real-time economic dispatch reserves of different unit commitment strategies are compared. The experimental results show that the stochastic model is more robust than deterministic ones and, thus, decreases the risk in system operations of smart grids.