Search results

This paper presents the results of a study comparing the ability of neural network models and multiple discriminant analysis (MDA) models to predict bond rating changes and to exam if segmentation by investment grade improves classification. Data was collected on more than 900 bonds that had their Standard and Poor's Corporation rating changed during the period 1997 to 2002. This was matched this dataset with corresponding firms which had the same initial bond rating but which did not change. The correspondence was based on the firms being in the same industry, having the same rating at the time of the change (the time frame was one month) and the same approximate asset size (within 20%). This relatively stringent set of criteria reduced the data set to 282 pairs of companies. A neural network model and a multiple discriminant analysis were used to predict both a bond change and the general direction of a movement from a particular bond rating to another bond rating. The predictive variables were financial ratios and rates of change for these ratios. In almost all cases, particularly for the larger sample studies, the neural network models were better predictors than the multiple discriminant models. The paper reviews, in detail, performance of the respective models, strengths and limitations of the models – particularly with respect to underlying assumptions- and future research directions.

This chapter aimed to uncover the gaps in the existing construction supply chain management (CSCM) models. Organisational culture and the fourth industrial revolution (4IR) components are the two gaps that were identified through reviewing existing CSCM models. The 4IR is driven by three components which are smart management, virtualisation and cyber-physical system. It was proposed in this chapter that the practice of CSCM should be in tandem with the components of 4IR. This chapter recommended that for the effective practice of the construction supply chain (CSC) in the 4IR era, construction stakeholders should adopt an innovative and collaborative organisational culture. The organisational culture adopted by a construction firm performs a crucial role in encouraging construction stakeholders in adopting 4IR components for CSCM. Each of the 4IR components is driven by technologies like autonomous robots, building information modelling (BIM), radio frequency identification (RFID), the internet of things (IoT) and others. Among all the technologies, it was discovered that RFID and BIM had gained prominence in most CSC literature. The chapter recommended that blockchain, digital twins and the cyber-physical system are the next trending technology for CSCM.

This chapter presented the model for the effective practice of construction supply chain management (CSCM) in the fourth industrial revolution (4IR) era. The model was developed after discovering that the failure of adopting the 4IR component has hindered the synchronisation of construction supply chain (CSC) activities. While some stakeholders are willing to manage their CSC under the 4IR era, most have no clue how to go about it. Most stakeholders are familiar with an existing practice built around collaboration, integration, supply chain structure and trust. This chapter bridges the gap by introducing organisational culture and 4IR components for modelling the CSCM in the 4IR era. The model was backed and grounded with a robust theoretical framework. The theories include social identity theory, change theory and resource-based view theory. It was discovered that the organisational culture adopted by construction stakeholders determines their willingness to embrace the 4IR component for the management of CSC. The 4IR components were divided into smart management, virtualisation and cyber-physical systems. The chapter recommended that the practice of SCM in the Nigerian construction industry should be modelled around the six constructs that were used in developing the model for this study.

This chapter examines the determinants of accountability practices disclosure on the websites of Malaysian local authorities, from the institutional isomorphism perspective.

A content analysis was employed to examine the websites of all local authorities in Malaysia. A modified accountability disclosure index was used to examine the extent of accountability practices disclosure on websites. Multiple regression analysis was conducted to examine the significant impact of institutional factors on the accountability practices disclosure.

The results suggest that, on average, Malaysian local authorities have disclosed 42 items (or 42%) of the accountability practices disclosure on the websites. The implementation of innovation activities, political competition and press visibility has statistically influenced the extent of accountability practices disclosure of Malaysian local authorities on the websites on the premise of coercive isomorphism.

This chapter highlights the institutional factors that influence the extent of online accountability practices disclosure of local authorities in developing countries. The findings therefore enable local authorities to explore the best possible approaches to effectively discharge accountability and to promote greater transparency through the dissemination of information on the website.

This chapter contributes to the public sector accounting literature by introducing new institutional factors that influence the disclosure practice of local authorities in Malaysia i.e. the establishment of the Integrity Unit and implementation of innovation activities under the public sector reform agenda.

The chapter introduces the reader to select language of human sexuality and the definitions and characteristics of some key terms related to lesbian, gay, bisexual, transgender, and questioning/queer (LGBTQ+), identifies different theoretical perspectives of human sexuality and sexual orientation, and discusses select LGBTQ+ theories and concepts in a historical context that library and information science (LIS) professionals should consider while performing their roles related to information creation–organization–management–dissemination–research processes. It helps better understand the scope of what is LGBTQ+ information and traces its interdisciplinary connections to reflect on its place within the LIS professions. The chapter discusses these implications with the expectation of the LIS professional to take concrete actions in changing the conditions that lack fairness, equality/equity, justice, and/or human rights for LGBTQ+ people via the use of information. Important considerations in this regard include the need for an integrative interdisciplinary LGBTQ+ information model, growth of a diversified LGBTQ+ knowledge base and experiences, holistic LGBTQ+ information representations, LGBTQ+ activism, and participatory engagement and inclusion of LGBTQ+ users.