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The distant data centre-centric Internet of Things (IoT) systems face the latency issue especially in the real-time-based applications, such as augmented reality, traffic analytics and ambient assisted living. Recently, Fog computing models have been introduced to overcome the latency issue by using the proximity-based computational resources, such as the computers co-located with the cellular base station, grid router devices or computers in local business. However, the increasing users of Fog computing servers cause bottleneck issues and consequently the latency issue arises again. This paper aims to introduce the utilisation of Mist computing (Mist) model, which exploits the computational and networking resources from the devices at the very edge of the IoT networks.

This paper proposes a service-oriented mobile-embedded Platform as a Service (mePaaS) framework that allows the mobile device to provide a flexible platform for proximal users to offload their computational or networking program to mePaaS-based Mist computing node.

The prototype has been tested and performance has been evaluated on the real-world devices. The evaluation results have shown the promising nature of mePaaS.

The proposed framework supports resource-aware autonomous service configuration that can manage the availability of the functions provided by the Mist node based on the dynamically changing hardware resource availability. In addition, the framework also supports task distribution among a group of Mist nodes.

The purpose of this paper is to explore the ability of “adaptable buildings” to respond to future potential built environment changes in sustainable way.

A detailed literature review and a case study were undertaken to identify the life cycle changes of typical buildings over a period of more than 100 years. In total, 12 semi-structured interviews were conducted among construction industry professionals to identify how adaptable buildings enhance sustainability within the built environment. Case study data were analysed through a Morphological Analysis, and the interview data were analysed through discourse analysis.

Out of the many adaptable features, the results revealed “change of use” as the dominant trend within the buildings of the selected urban cluster. More than 60 per cent of buildings have changed their original use during their life cycle. Around 10 per cent of them have changed their use frequently (every six year) during the last 20 years thereby signalling an increase in the rate of change. The positive contribution of adaptable buildings in achieving sustainability in terms of economic, social and environmental considerations, were confirmed through the analysis of semi-structured interviews.

This paper reports a longitudinal study spanning over 100 years, exploring the extent of building adaptation within a selected cluster of Liverpool city centre, UK. The study further confirms the need to incorporate adaptability as a key criterion when designing buildings. The increased rate at which “change of use” has occurred further reinforces the need. Lack of a track record of designing for reuse makes this an interesting challenge for the construction industry, hence likely to have significant implications for policy/strategy formulation.

The development of corporate social responsibility (CSR) in the construction sector is slow, thereby leaving many opportunities for further development. To enable operators in the construction sector to effectively capitalise on the opportunities to promote the development of CSR in the sector, this study employs the practice viewpoint to take the stock of CSR activities in the sector. The purpose of this paper is to reveal the state of CSR practice in the construction sector. The study also draws from the development of CSR in the manufacturing, mining and banking sectors to inform the state of CSR practice in the construction sector.

This study carries out a systematic literature review of 56 journal publications that were published between the year 2000 and 2016. The deductive coding of the publications was done to identify four themes of CSR research that constitute the practice view of the state of CSR in the construction sector.

The implementation of CSR is the major emphasis in the state of CSR practice in the construction sector. The implementation of CSR is wrapped in the perception of operators about CSR potentials, dimensions of CSR implemented, strategies for implementation and the effects of the implemented CSR practices on performance. The sector characteristics and organisational structure are attributes for comparing the CSR practices between the construction sector and the manufacturing, mining and banking sectors.

This study provides a researchers’ view of the state of CSR in the construction sector. Additionally, the study draws from the development of CSR in the manufacturing, mining and banking sectors to inform the state of CSR practice in the construction sector.

The purpose of this paper is to attempt to integrate manufacturing system analysis to obtain system‐wide optimized solutions and to increase the level of comprehensiveness of the manufacturing system modelling and to develop method of characterization of manufacturing systems based on its structure.

Elements constituting the manufacturing plant and the interactions between them have been identified through a literature survey and have been represented by graph‐based model. The matrix models and the variable permanent function models are developed for carrying out decomposition, characterization and the total analysis.

Structural patterns and combination sets of subsystems interacting in various ways have been recognized as capabilities of manufacturing system in different performance dimensions. The permanent function of the manufacturing system matrix has been proposed as a systematic technique for structural analysis of manufacturing system. Also, the terms of permanent multinomial characterize the manufacturing systems uniquely and are highly useful for computational storage, retrieval, communication as well as analysis of the structural information of manufacturing system.

The structure‐based characterization technique developed has the potential of aiding the ongoing research activities in the field of benchmarking, and business process reengineering. The graph theory‐based methodology will serve as a framework to develop composite performance measures building on the performance measures of the individual elements of the manufacturing system graph in various dimensions.

Through the use of proposed methodology, a manufacturing manager will be able to make better informed decisions towards organizational efforts of improving the productivity and speed. For aiding several decisions, different “what‐if” scenarios may be generated with several structural modifications.

This graph theory‐based methodology is a novel mechanism to seamlessly integrate manufacturing system giving way to system wide optimization. The paper is an attempt to address the need for comprehensive and integrated analysis of the manufacturing system.

Digital technology has changed how people interact with information and each other. Being able to access and share information ensures healthcare practitioners can keep abreast of new and ever changing information and improve services. The purpose of this paper is to present an information management-knowledge transfer (IM-KT) framework which emerged from a study looking at digital literacy in the occupational therapy profession.

The research was undertaken in three stages. First an in-depth literature review was undertaken, which enabled the creation of an initial conceptual framework which in turn, informed the second stage of the research: the development of a survey about the use of digital technologies. Occupational therapy students, academics and practitioners across five different countries completed the survey, after which refinements to the framework were made. The IM-KT framework presented in this paper emerged as a result of the third stage of the study, which was completed using the Delphi technique where 18 experts were consulted over four rounds of qualitative questionnaires.

The IM-KT framework assists individuals and groups to better understand how information management and knowledge transfer occurs. The framework highlights the central role of information literacy and digital literacy and the influence of context on knowledge transfer activities.

The IM-KT framework delineates clearly between information and knowledge and demonstrates the essential role of information literacy and digital literacy in the knowledge era. This framework was developed for the occupational therapy profession and may be applicable to other professions striving to keep up to date with best evidence.

The development of new communication technology such as 5G is now a solid choice for Industry 4.0. 5G in the fifth generation replaces the presently used mobile telecommunications networks. In every sector of modern life, this technology is designed to resolve the issue of the enormous rise in daily gadgets. 5G allows rapid data transfer and significantly improves the Internet of Things (IoT), which contains billions of devices. The purpose of this paper is to study the potential applications of 5G for Industry 4.0.

Relevant research publications from Scopus, Web of Science and Google Scholar were identified to accomplish the objectives of this paper. 5G for Industry 4.0 enables crucial communications such as wireless management of machines and robotics to unleash Industry 4.0’s full potential, including the considerable proliferation of IoT devices in 5G. This technology enhances quality control, increasing inspections that rely on real-time analysis for rapid and early detection.

In Industry 4.0, 5G technology provides high speed and flexibility connectivity which helps to enhance the entire manufacturing system. This paper briefs about 5G and different network technologies used in 5G. Advancements, associated features and specialties, and significant enablers of 5G for Industry 4.0 are discussed. Finally, the paper identifies and discusses eighteen 5G applications for Industry 4.0. 5 G-enabled robots are used in manufacturing to carry out extensive work to enhance connectivity.

5G is the next-generation communication technology, allowing numerous examples of inventive usage, including Industry 4.0. In line with its long-term vision of digitisation, 5G benefit the whole value chain, including consumers and businesses.

The purpose of this paper is twofold: first, to present a set of critical factors for total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review; and, second, to identify the relationships among them by comparing the identified TQM and SCM practices in order to explore the concept of supply chain quality management (SCQM).

To meet the goals of this work, a review of published quality research papers was carried out. For this, the authors identified papers on TQM and SCM practices and observed how these practices improve the business performance of organizations. Further, on the basis of identified practices, a conceptual model of SCQM was developed.

The results presented a set of six critical factors each for TQM and SCM practices. Further, it was found that management support and commitment, customer focus, information and supplier partnership are the most common practices found in both TQM and SCM practices. The integration of TQM and SCM (SCQM) throughout the supply chain has the strongest impact on the organizational performance.

The study used data from various research papers of reputed journals which considered the study of India’s manufacturing industry as well as other countries, which may not provide a clear picture. However, this can be overcome by applying the findings of this paper to collect data from Indian manufacturing industry in future studies.

Indian manufacturing industry can improve its competitive image through the synergy of TQM and SCM. The result of this paper will help in providing a greater understanding of identified TQM and SCM practices that will lead to the successful implementation of TQM and SCM strategies to enhance business performance in terms of the improved levels of customer service.

Much of the attention is given on TQM and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know, there is no study undertaken to integrate TQM and SCM practices in India for the manufacturing class. Therefore, this study compares TQM and SCM practices and considers their integration and can be thus treated as filling a gap in the extant literature. Therefore, the findings of this review paper will contribute in future research.

The study aims at finding out major barriers for synergistic adoption of TQM-SCM in the medium- and large-scale manufacturing organizations in India. All these barriers create hurdles for the organizations as well as supply chain partners in improving their business performance. The study is a blend of theoretical and practical frameworks, which will focus on key barriers leading to interrupt the successful synergistic implementation of TQM-SCM in manufacturing organization.

Firstly, survey of 116 Indian organizations has been carried out to identify barriers that hinder successful implementation of TQM-SCM. Afterward, VIKOR approach was proposed to rank the major barriers of TQM-SCM implementation in Indian manufacturing organizations.

Identification of barriers to synergistic implementation of TQM-SCM in the manufacturing industry of India, ranking of these barriers in terms of their severity.

The adoption of TQM-SCM on synergistic basis is still in its early stages in India. To the authors’ knowledge, this is the first study that is designed to prioritize barriers responsible for hindering successful synergistic implementation of (TQM-SCM) in Indian manufacturing industry. Further, the results of the study will be helpful for managers in order to prepare action plans to overcome the hurdles to TQM-SCM implementation.