Energy performance of medium-sized healthcare buildings in Victoria, Australia- a case study

This paper investigates the energy performance of three medium-sized healthcare buildings in Victoria, Australia, that operate only during the daytime. The aim is to provide preliminary understanding of energy consumption in this particular typology in Australia in relation to the available benchmarks. This paper also identifies the differences of energy consumption between different functional areas within medium health facilities. Building features and operational characteristics contributing to the variations in healthcare energy performance are discussed. The total annual energy consumption data ranging from 167-306 kWh/m(2) or 42-72 kWh/m(3) were compared against international data from various climatic zones. Some of the drivers of energy consumption were determined and potentials for energy and water conservation were identified. Comparison with international standards shows a possibility to achieve lower energy consumption in Victorian healthcare buildings.

Organizational Fit: Key Issues and New Directions

An ambitious survey of the field, by an international group of scholars, that looks toward the future of person-organization fit. Explores how people form their impressions of fit and the impact these have on their behavior, and how companies can maximize fit. Includes multiple perspectives on the topic of how people fit into organizations, discussing issues across the field and incorporating insights from related disciplines. Actively encourages scholars to take part in organizational fit research, drawing on workshops and symposia held specially for this book to explore some of the creative directions that the field is taking into the future. © 2013 John Wiley & Sons, Ltd.

A study and a directory of energy consumption data sets of buildings

Energy consumption data are required to perform analysis, modelling, evaluation, and optimisation of energy usage in buildings. While a variety of energy consumption data sets have been examined and reported in the literature, there is a lack of a comprehensive categorisation and analysis of the available data sets. In this study, an overview of energy consumption data of buildings is provided. Three common strategies for generating energy consumption data, i.e., measurement, survey, and simulation, are described. A number of important characteristics pertaining to each strategy and the resulting data sets are discussed. In addition, a directory of energy consumption data sets of buildings is developed. The data sets are collected from either published papers or energy related organisations. The main contributions of this study include establishing a resource pertaining to energy consumption data sets and providing information related to the characteristics and availability of the respective data sets; therefore facilitating and promoting research activities in energy consumption data analysis.

The impact of employee perceptions of organizational corporate social responsibility practices on job performance and organizational citizenship behavior: evidence from the Chinese private sector

This paper examines the impact of employee perceptions of organizational corporate social responsibility (CSR) practices on their job performance and organizational citizenship behavior (OCB). Hierarchical regression analysis on two-wave data from 184 supervisor/subordinate dyads from three organizations located in Zhejiang Province, South-East China, revealed that employee perceptions of CSR toward social and non-social stakeholders strongly influenced their OCB. However, employee perceptions of CSR toward employees, customers and government influenced neither their job performance nor OCB.

Organizational climate change and its influence on employee engagement

 This study provides insight into how organizational climate can change and influence employee engagement using a structural, longitudinal, case study design. Quantitative and qualitative data were collected in two companies in the Philippines undergoing substantial change. An existing validated model of work practices and outcomes was used as a framework in collecting and analyzing the data. Results showed that both companies significantly changed aspects of their organizations associated with the quality of technology and facilities. However, only Company B showed significant changes in aspects associated with the involvement, development, and recognition of staff. With regard to the outcome of employee engagement, results showed that Company A did not report a significant change in employee engagement while Company B did report a significant change. Coding of qualitative comments supported the quantitative results. The findings support the argument that if organizations wish to improve employee engagement, a core requirement for organizational development is to improve the extent to which employees are involved, developed, and recognized within their organization.

Examining the perception of tenants in sustainable office buildings

Purpose – The purpose of this paper is to address two major challenges faced by sustainable building owners: first, address the gap between an occupant’s expectations of sustainable building outcomes and what the building actually provides and second, overcome the lack of user knowledge about sustainability design and operation for a particular with regards to performance. Design/methodology/approach – This study used a focus group approach to investigate the gap between: user expectations and sustainable building performance. The study surveyed occupants of sustainable office buildings in Melbourne, Australia. Findings – There is no significant relationship between users’ expectations and users’ experience of sustainable building performance and users’ knowledge about sustainability and the building they were worked in. Research limitations/implications – The research was limited to sustainable office buildings. New office buildings seeking to incorporate sustainability which need to focus on the needs of tenants in order to maximise value. Practical implications – There is an urgent need to ensure sustainable office buildings meet the needs of present and future occupiers without compromising short and long-term occupier satisfaction levels with regards to sustainability and operation of the building. Social implications – Increasing the level of sustainability in office buildings has been a major trend over the past decade however the tenants need to be consulted in the post-occupancy phase. Originality/value – Little attention has been given in the property management literature to sustainable office buildings and value drivers. This is an original and innovative study, partly due to the recent developments in sustainable buildings.

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.

Mentoring functions and turnover intention: the mediating role of perceived organizational support

Despite an increasing number of studies investigating the effects of mentoring on employee work outcomes, limited attention has been placed on the relationship between mentoring functions and turnover intentions. In this study, we examined the relationship between mentoring functions and turnover intentions, and the mediating role of perceived organizational support (POS) on this relationship. Using data collected from 176 employees in three Chinese banks, we found that POS partially mediated the relationship between mentoring functions and employees' turnover intentions.