A study of the impact of technological innovations on the social sustainability of facilities management employees in South Africa

This research investigates the impact of technological innovations (TIs) on the social sustainability of facilities management (FM) employees in South Africa. The rationale for the study is that no empirical evidence shows how the adoption of TIs impacts the social sustainability of FM employees. The study adopts the sequential mixed-methodology approach. The quantitative phase makes use of a questionnaire survey which formed the foundation for the qualitative interview phase. The relative importance index (RII) is used to analyse different questions, such as (1) the factors influencing the adoption of TIs in FM organisations (2) the impact of the TIs on FM practice, (3) the localisation of the employee social sustainability factors and (4) the determination of the impact of TIs on the social sustainability of FM employees. An Interpretive Structural Model (ISM) approach is used to determine which social sustainability factor(s) should be prioritised while promoting the social sustainability of the FM employees. The findings of this study show that cloud-based TIs, ICT-based TIs and sensor-based TIs are the most popular in FM organisations in South Africa. Furthermore, the impact of TIs on the core business factors in FM organisations have a mean score of between 3.00 to 3.19 depending on the factor of interest. The RII analysis led to the development of the initial FM employee social sustainability framework which identified “job security”, “remuneration” and “professional status” as the three most important FM employee social sustainability factors. However, the ISM analysis which considered hierarchy, driving power and dependence of the factors identified “organisation policy” as main factor in level five that drives other employee social sustainability factors. Furthermore, “overwork”, “autonomy”, “interpersonal relationship”, “work and home-life balance” and “retirement development plan” were the root factors in level four that must be prioritised by facilities managers to promote employee social sustainability. The study contributes to knowledge by identifying the most popular TIs that are adopted by FM organisations in South Africa, and determining the interrelationship, hierarchical importance and dependences of the various employees’ social sustainability factors in FM organisations. Through the development of the framework for FM employee social sustainability, facilities managers have the knowledge of the factors to prioritise when they need to promote the social sustainability of their employees. The study recommends that FM organisation policies on TI adoption must align with the overall socio-economic wellbeing program to contribute to social sustainability in South Africa

Context-aware information delivery for mobile construction workers

The potential of mobile Information Technology (IT) applications to support the information needs of mobile construction workers has long been understood. However, existing mobile IT applications in the construction industry have underlined limitations, including their inability to respond to the changing user context, lack of semantic awareness and poor integration with the desktop-based infrastructure. This research argues that awareness of the user context (such as user role, preferences, task-at-hand, location, etc.) can enhance mobile IT applications in the construction industry by providing a mechanism to deliver highly specific information to mobile workers by intelligent interpretation of their context. Against this this background, the aim of this research was to investigate the applicability of context-aware information delivery (CAID) technologies in the construction industry. The research methodology adopted consisted of various methods. A literature review on context-aware and enabling technologies was undertaken and a conceptual framework developed, which addressed the key issues of context-capture, contextinference and context-integration. To illustrate the application of CAID in realistic construction situations, five futuristic deployment scenarios were developed which were analysed with several industry and technology experts. From the analysis, a common set of user needs was drawn up. These needs were subsequently translated into the system design goals, which acted as a key input to the design and evaluation of a prototype system, which was implemented on a Pocket-PC platform. The main achievements of this research include development of a CAID framework for mobile construction workers, demonstration of CAID concepts in realistic construction scenarios, analysis of the Construction industry needs for CAID and implementation and validation of the prototype to demonstrate the CAID concepts. The research concludes that CAID has the potential to significantly improve support for mobile construction workers and identifies the requirements for its effective deployment in the construction project delivery process. However, the industry needs to address various identified barriers to enable the realisation of the full potential of CAID

Technical debt-aware and evolutionary adaptation for service composition in SaaS clouds

The advantages of composing and delivering software applications in the Cloud-Based Software as a Service (SaaS) model are offering cost-effective solutions with minimal resource management. However, several functionally-equivalent web services with diverse Quality of Service (QoS) values have emerged in the SaaS cloud, and the tenant-specific requirements tend to lead the difficulties to select the suitable web services for composing the software application. Moreover, given the changing workload from the tenants, it is not uncommon for a service composition running in the multi-tenant SaaS cloud to encounter under-utilisation and over-utilisation on the component services that affects the service revenue and violates the service level agreement respectively. All those bring challenging decision-making tasks: (i) when to recompose the composite service? (ii) how to select new component services for the composition that maximise the service utility over time? at the same time, low operation cost of the service composition is desirable in the SaaS cloud. In this context, this thesis contributes an economic-driven service composition framework to address the above challenges. The framework takes advantage of the principal of technical debt- a well-known software engineering concept, evolutionary algorithm and time-series forecasting method to predictively handle the service provider constraints and SaaS dynamics for creating added values in the service composition. We emulate the SaaS environment setting for conducting several experiments using an e-commerce system, realistic datasets and workload trace. Further, we evaluate the framework by comparing it with other state-of-the-art approaches based on diverse quality metrics

C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things

Semantic Web technologies are increasingly used in the Internet of Things due to their intrinsic propensity to foster interoperability among heterogenous devices and services. However, some of the IoT application domains have strict requirements in terms of timeliness of the exchanged messages, latency and support for constrained devices. An example of these domains is represented by the emerging area of the Internet of Musical Things. In this paper we propose C Minor, a CoAP-based semantic publish/subscribe broker specifically designed to meet the requirements of Internet of Musical Things applications, but relevant for any IoT scenario. We assess its validity through a practical use case

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

This book explores the critical role of acquisition, application, enhancement, and management of knowledge and human competence in the context of the largely digital and data/information dominated modern world. Whilst humanity owes much of its achievements to the distinct capability to learn from observation, analyse data, gain insights, and perceive beyond original realities, the systematic treatment of knowledge as a core capability and driver of success has largely remained the forte of pedagogy. In an increasingly intertwined global community faced with existential challenges and risks, the significance of knowledge creation, innovation, and systematic understanding and treatment of human competence is likely to be humanity's greatest weapon against adversity. This book was conceived to inform the decision makers and practitioners about the best practice pertinent to many disciplines and sectors. The chapters fall into three broad categories to guide the readers to gain insight from generic fundamentals to discipline-specific case studies and of the latest practice in knowledge and competence management

The Evolution of Smart Buildings: An Industrial Perspective of the Development of Smart Buildings in the 2010s

Over the course of the 2010s, specialist research bodies have failed to provide a holistic view of the changes in the prominent reason (as driven by industry) for creating a smart building. Over the 2010s, research tended to focus on remaining deeply involved in only single issues or value drivers. Through an analysis of the author’s peer reviewed and published works (book chapters, articles, essays and podcasts), supplemented with additional contextual academic literature, a model for how the key drivers for creating a smart building have evolved in industry during the 2010s is presented. The critical research commentary within this thesis, tracks the incremental advances of technology and their application to the built environment via academic movements, industrial shifts, or the author’s personal contributions. This thesis has found that it is demonstrable, through the chronology and publication dates of the included research papers, that as the financial cost and complexity of sensors and cloud computing reduced, smart buildings became increasingly prevalent. Initially, sustainability was the primary focus with the use of HVAC analytics and advanced metering in the early 2010s. The middle of the decade saw an economic transformation of the commercial office sector and the driver for creating a smart building was concerned with delivering flexible yet quantifiably used space. Driven by society’s emphasis on health, wellbeing and productivity, smart buildings pivoted their focus towards the end of the 2010s. Smart building technologies were required to demonstrate the impacts of architecture on the human. This research has evidenced that smart buildings use data to improve performance in sustainability, in space usage or for humancentric outcomes

Modeling Crowd Feedback in the Mobile App Market

Mobile application (app) stores, such as Google Play and the Apple App Store, have recently emerged as a new model of online distribution platform. These stores have expanded in size in the past five years to host millions of apps, offering end-users of mobile software virtually unlimited options to choose from. In such a competitive market, no app is too big to fail. In fact, recent evidence has shown that most apps lose their users within the first 90 days after initial release. Therefore, app developers have to remain up-to-date with their end-users’ needs in order to survive. Staying close to the user not only minimizes the risk of failure, but also serves as a key factor in achieving market competitiveness as well as managing and sustaining innovation. However, establishing effective communication channels with app users can be a very challenging and demanding process. Specifically, users\u27 needs are often tacit, embedded in the complex interplay between the user, system, and market components of the mobile app ecosystem. Furthermore, such needs are scattered over multiple channels of feedback, such as app store reviews and social media platforms. To address these challenges, in this dissertation, we incorporate methods of requirements modeling, data mining, domain engineering, and market analysis to develop a novel set of algorithms and tools for automatically classifying, synthesizing, and modeling the crowd\u27s feedback in the mobile app market. Our analysis includes a set of empirical investigations and case studies, utilizing multiple large-scale datasets of mobile user data, in order to devise, calibrate, and validate our algorithms and tools. The main objective is to introduce a new form of crowd-driven software models that can be used by app developers to effectively identify and prioritize their end-users\u27 concerns, develop apps to meet these concerns, and uncover optimized pathways of survival in the mobile app ecosystem

BIM-Based Life Cycle Sustainability Assessment for Buildings

In recent years, the progress of digitization in the architecture and construction sectors has produced enormous advances in the automation of analysis and evaluation processes. This is the case with environmental analysis systems, such as the life cycle analysis. Methodology practitioners have found a fundamental ally in the building information modeling platforms, which allow tasks that conventionally consume large amounts of energy and time to be carried out more automatically and efficiently. In this publication, the reader will find some of the latest advances in this area

Context-aware information delivery for mobile construction workers

The potential of mobile Information Technology (IT) applications to support the information needs of mobile construction workers has long been understood. However, existing mobile IT applications in the construction industry have underlined limitations, including their inability to respond to the changing user context, lack of semantic awareness and poor integration with the desktop-based infrastructure. This research argues that awareness of the user context (such as user role, preferences, task-at-hand, location, etc.) can enhance mobile IT applications in the construction industry by providing a mechanism to deliver highly specific information to mobile workers by intelligent interpretation of their context. Against this this background, the aim of this research was to investigate the applicability of context-aware information delivery (CAID) technologies in the construction industry. The research methodology adopted consisted of various methods. A literature review on context-aware and enabling technologies was undertaken and a conceptual framework developed, which addressed the key issues of context-capture, contextinference and context-integration. To illustrate the application of CAID in realistic construction situations, five futuristic deployment scenarios were developed which were analysed with several industry and technology experts. From the analysis, a common set of user needs was drawn up. These needs were subsequently translated into the system design goals, which acted as a key input to the design and evaluation of a prototype system, which was implemented on a Pocket-PC platform. The main achievements of this research include development of a CAID framework for mobile construction workers, demonstration of CAID concepts in realistic construction scenarios, analysis of the Construction industry needs for CAID and implementation and validation of the prototype to demonstrate the CAID concepts. The research concludes that CAID has the potential to significantly improve support for mobile construction workers and identifies the requirements for its effective deployment in the construction project delivery process. However, the industry needs to address various identified barriers to enable the realisation of the full potential of CAID.EThOS - Electronic Theses Online ServiceGBUnited Kingdo