Improving employee outcomes in the public sector

Purpose – The purpose of this paper is to examine the efficacy of the demand-control-support model, augmented with employee perceptions of organisational justice and degree of met expectations.

Design/methodology/approach – Data were collected from 128 public sector employees working in a large state police force operating under many of the elements of new public management. Hierarchical multiple regression analyses were conducted using four indicators of occupational strain: employee wellbeing, job satisfaction, organisational commitment and intent to quit.

Findings – The results of this study suggest that the demand-control-support model has great utility in identifying those aspects of the work environment associated with employee strain. Job control and social support at work in particular were the most consistent predictors. In contrast, the expectation and justice variables failed to make significant contributions to the model in all but one analysis providing no support for the “injustice as stressor” perspective.

Research limitations/implications – Although a cross-sectional design was utilized, these results highlight the value of applying the parsimonious demand-control-support model to a wider set of outcomes, especially in a public sector environment.

Practical implications – The results emphasize the importance of the relatively neglected “softer” work characteristics support and control. In order to combat the ill-effects of organisational reforms and prompt a shift towards the public value approach, managers operating under elements of new public management should ensure that adequate social support at work is available and that employee control is commensurate with their demands.

Originality/value – This study examined an augmented demand-control-support model and identified that whilst perceptions of justice can influence employee attitudes and wellbeing, the demand, control, and support variables remain the most influential factors with regard to public sector employee attitudes and wellbeing.

What decision rules might pink-footed geese use to depart on migration? An individual-based model

Decisions taken during migration can have a large effect on the fitness of birds. Migration must be accurately timed with food availability to allow efficient fueling but is also constrained by the optimal arrival date at the breeding site. The decision of when to leave a site can be driven by energetics (sufficient body stores to fuel flight), time-related cues (internal clock under photoperiodic control), or external cues (temperature, food resources). An individual based model (IBM) that allows a mechanistic description of a range of departure decision rules was applied to the spring migration of pink-footed geese (Anser brachyrhynchus) from wintering grounds in Denmark to breeding grounds on Svalbard via 2 Norwegian staging sites. By comparing predicted with observed departure dates, we tested 7 decision rules. The most accurate predictions were obtained from a decision rule based on a combination of cues including the amount of body stores, date, and plant phenology. Decision rules changed over the course of migration with the external cue decreasing in importance and the time-related cue increasing in importance for sites closer to breeding grounds. These results are in accordance with descriptions of goose migration, following the “green-wave”: Geese track the onset of plant growth as it moves northward in spring, with an uncoupling toward the end of the migration if time is running out. We demonstrate the potential of IBMs to study the possible mechanisms underlying stopover ecology in migratory birds and to serve as tools to predict consequences of environmental change.

Rapid water quality characterization for chlorine demand and THM formation in drinking waters

The quality of drinking water generally deteriorates when it is delivered through a distribution system due to the decay of disinfectant, which subsequently allows the re-growth of microorganisms in the distribution system in addition to the formation of trihalomethane (THM). Therefore, a model which describes the changes that occur in the water quality in the distribution system is needed to determine whether to enhance the treatment processes or to improve the distribution system so that microbiological criteria are met. In this paper the chlorine decay kinetics and THM formation in treated water is modeled considering the reaction of chlorine with fast and slow reacting organic and nitrogenous compounds which are present in that water. The treated water was also passed through three types of resins to fractionate very hydrophobic acids (VHA), slightly hydrophobic acids (SHA), hydrophilic charged (CHA) and hydrophilic neutral (NEU) compounds which are present in the water. Chlorine decay tests were conducted on the effluents emerging from the resins to evaluate the chlorine demand and THM formation potential of those organic fractions. The model shows that the CHA presented in the waters has a very high THM formation potential (around 62% of the THM produced). VHA, NEU and CHA contributed to chlorine demand in the water.

Evaluating the drinking water quality through an efficient chlorine decay model

The performance of a treatment plant in reducing chlorine consuming substances as well as total trihalomethane formation (TTHM) could be evaluated rapidly using an accurate chlorine decay model as used in this study. The model could estimate the concentrations of fast and slow reacting agents (FRA and SRA–including organic and inorganic substances) and fast and slow reacting nitrogenous compounds (FRN and SRN) that are present in test waters. By estimating those concentrations in source and treated waters one could evaluate the performance of the treatment plant as well as provide options such as better catchment management for source water protection or treatment upgrades (e.g. enhanced coagulation) to remove chlorine consuming compounds which also have the potential to form THMs.

Clarifying the Effort-Reward Imbalance Model : the role of personality

The thesis aimed to identify the sources of stress experienced by a sample of Australian police officers. It was guided by the Effort-Reward Imbalance Model, augmented with Type A personality components. The findings support the research model and suggest that interventions to reduce stress should focus on reward and recognition.

Knowledge transfer : a model framework for construction knowledge integration

Managing information and knowledge in the construction industry is an important focus for research. The goal is to expedite better integration of construction knowledge amongst the stakeholders. Better use of this knowledge could allow the building industry to achieve quality outputs making best use of resources – the linked goals of time, cost and quality. Information networks and knowledge transfer are central to this and are recognized as integral to an industry strategy to improve productivity. However, poor delivery of information to those at the construction site and lack of effective methods of transferring knowledge between parties involved in construction become major challenges. Based on a critical review of literature and an interview survey, this paper identifies the information networks adopted in the Malaysian construction industry and models these using four knowledge transfer components classified as ‘control’, ‘innovation’, ‘best practice’ and ‘audit’ element. Knowledge integration practices - attitude, communication, skills, commitment and monitoring; and factors related to information barriers including accessibility, service delivery, information updates and publication, were identified as critical features for the success of knowledge integration in the Malaysian construction industry. A framework for knowledge transfer is proposed to promote better practices in the Malaysian construction industry.

Environmental sustainability orientation and financial resources of small manufacturing firms in the Philippines

Purpose - This study challenges the conventional view that resources determine the extent of environmental sustainability orientation (ESO) of small firms in a developing Southeast Asian country context. First, this study attempts to develop a measurement model of ESO of small firms in the manufacturing sector in the Philippines. Second, the study explores the impact of the financial resources on the ESO of firms.

Design/methodology/approach - The study uses survey data from 166 small manufacturing firms in three Philippine cities. Multiple regression modelling is used to estimate the relationships between firm resources and ESO.

Findings - The results indicate that ESO is a multi-dimensional construct with three facets: awareness of, actions for, and appreciation of environmental sustainability. The empirical evidence does not support the conventional firm resources – ESO proposition.

Research limitations/implications - A proactive ESO is not necessarily beyond the reach of resource-constrained small firms. The generalisability of the findings however is limited to small manufacturing firms in the Philippines.

Practical implications - This study informs owner-managers of small firms that a proactive ESO does not largely depend on financial resources. Government policies and programs to encourage small firms to become sustainable should not only focus on financial forms of assistance.

Originality/value -  To date, this is the only Philippine-based study and one of the scarce small firm-focused studies that examine the proposition that small firms are unable to pursue a proactive ESO due to resource-constraints.

Constructability : a model framework for knowledge transfer development, a three country comparison

Constructability is an important approach that allows the building industry to achieve quality outputs making best use of resources – the linked goals of time, cost and quality. Information supply and knowledge transfer are central to this and are recognized as integral to an industry strategy to improve productivity. However, poor delivery of information to those at the construction site and lack of effective methods of transferring knowledge between parties involved in construction become major challenges. This paper reviews the building production practices and information networks adopted by three countries to achieve better constructability practices. The elements of ‘control’, ‘innovation’, ‘best practice’ and ‘audit’, identified as key to improving knowledge transfer, are modelled for the construction sectors of Singapore, Australia and Malaysia. A framework for knowledge transfer is proposed to promote better practices in the construction industry.

Critical uncertainty factors for efficient allocation of demand risk in privately financed public infrastructure projects in Australia

Risk allocation in privately financed public infrastructure projects, which are mainly referred as public-private partnership (PPP) projects, is a challenging job due to the nature of incomplete contracting. Among the various risks that may eventually materialise, demand risk is one of the major challenges that PPPs face. Choosing a risk allocation strategy could be viewed as the process of deciding the proportion of risk management responsibility between public and private partners based on a series of characteristics of risk management service transaction in question. These characteristics are more or less related to the various uncertainty factors. In this study, various uncertainty factors have been examined in order to achieve efficient allocation of demand risk and minimise risk management-related costs in a long-term view. Critical uncertainty factors have been identified through an industry-wide survey in Australia. Future research directions are also set out.

Personality and the effort-reward imbalance model of stress : individual differences in reward sensitivity

The Effort-Reward Imbalance (ERI) model comprises both situational components (i.e. effort and reward) and a person-specific component (overcommitment). The aims of this study were to investigate the role of theoretically and historically linked personality variables (i.e. overcommitment and Type A personality) within the ERI model and to expand and extend the ERI model by investigating the contribution of individual reward components to both psychological (i.e. psychological distress) and attitudinal (i.e. affective commitment) employee strain indicators. A total of 897 police officers from a large Australian police agency participated in the study. The results provided no evidence of an interaction effect of effort or reward with overcommitment. The Type A variables did, however, make significant contributions and were involved in a number of interactions, suggesting that the person-specific component of the ERI model could be extended with the Type A personality profile. The findings also suggest that the esteem component of reward has the greatest relevance to employee outcomes, although tangible aspects of reward are more likely to act as a buffer of perceived work demand.

T-OSN : a trust evaluation model in online social networks

Now days, the online social networks (OSN) have gained considerable popularity. More and more people use OSN to share their interests and make friends, also the OSN helps users overcome the geographical barriers. With the development of OSN, there is an important problem users have to face that is trust evaluation. Before user makes friends with a stranger, the user need to consider the following issues: Can a stranger be trusted? How much the stranger can be trusted? How to measure the trust of a stranger? In this paper, we take two factors, Degree and Contact Interval into consideration, which produce a new trust evaluation model (T-OSN). T-OSN is aimed to solve how to evaluate the trust value of an OSN user, also which is more efficient, more reliable and easy to implement. Base on our research, this model can be used in wide range, such as online social network (OSN) trust evaluation, mobile network message forwarding, ad hoc wireless networking, routing message on Internet and peer-to-peer file sharing network. The T-OSN model has following obvious advantages compare to other trust evaluate methods. First of all, it is not base on features of traditional social network, such as, distance and shortest path. We choose the special features of OSN to build up the model, that is including numbers of friends(Degree) and contact frequency(Contact Interval). These species features makes our model more suitable to evaluate OSN users trust value. Second, the formulations of our model are quite simple but effective. That means, to calculate the result by using our formulations will not cost too much resources. Last but not least, our model is easy to implement for an OSN website, because of the features that we used in our model, such as numbers of friends and contact frequency are easy to obtain. To sum up, our model is using a few resources to obtain a valuable trust value that can help OSN users to solve an important security problem, we believe that will be big step - or development of OSN.

An agile IT security model for project risk assessment

There are two fundamental challenges in effectively performing security risk assessment in today's IT projects.The first is the project manager's need to know what IT security risks face the project before the project begins. At this stage IT security staff are unable to answer this question without first knowing the system requirements for the project which are yet to be defined. Second organisations that deal with a large project throughput each year find the current IT security risk assessment process to be tedious and expensive, especially when the same process has to be repeated for each individual project. This also makes it difficult for an organisation to prioritise which projects require more investment in IT security in order to fit within budget constraints. This paper presents a conceptual model that is based on an agile approach to alleviate these challenges. We do this by first analysing two online database resources of vulnerabilities by comparing them to each other, and then compare them to the agile criteria of the conceptual model which we define. The conceptual model is then presented and an example is given of how it can be applied to an actual project. We then briefly discuss what further work needs to be done to implement the conceptual model and validate it against an existing IT project.

Extending technology acceptance model to the E-recruitment context in Iran

Using a sample of 332 job applicants in Iran, this study integrates Technology Acceptance Model (TAM) and signaling theory to explain factors influencing applicants' behavioral intentions to apply for jobs online. Of the two main constructs of TAM, perceived usefulness was found to have a significant impact on applicants' behavioral intentions, while perceived ease of use was not. Based on the signaling theory, impression of the organizational website appeared to create interests in organization as a potential employer; hence, prompt applicants to apply for jobs. These results extend our understanding of the online recruitment in different context and provide further insights with regard to possible effects of website features on applicants' attractions toward organizations operating in Iran.