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This study aims to identify and categorise common on-site problems from a supply chain management (SCM) perspective and to trace the origin of these problems in the construction project process, the supply chain or in the intersection between these processes. This allows for identification of how on-site problems affect SCM in construction projects and how they can be mitigated.

A literature review in combination with semi-structured interviews was used to identify on-site problems. This enabled triangulation and strengthened both construct validity and internal validity.

On-site problems can be categorised in one of the four following categories: material flows, internal communication, external communication or complexity. The first category has its origin in the supply chain, the second in the construction project process, the third in the supply chain-construction process intersection on site and the fourth in the construction project as a whole. The findings conclude that on-site problems often originate from construction companies’ lack of supply chain orientation.

It is suggested that supply chain planning (SCP) can facilitate on-site problem mitigation in construction project management. This extends the body of knowledge of SCP in construction project management and supports the development of effective on-site construction project management.

The results show that SCP can aid construction project management in handling on-site problems earlier in the project process.

The main value lies in extending the body of knowledge in construction project management research by applying an SCM perspective and by introducing SCP to support more effective construction project management.

To examine the development of a viable framework for the enhancement of construction site management practices through an integration of knowledge management (KM) processes ‐ underpinned by case study findings from construction organizations that have implemented knowledge management. A multiple case study approach (that incorporates qualitative comparators with observations made within five construction sites) was adopted. The main aims were to investigate the key problems of site management practices, to observe existing practice in managing knowledge on the construction site, and to present opportunities for improvement. The case study findings revealed that services obstruction, poor site communication and information, incomplete design, local residents, and cooperation and motivation issues are major problems inhibiting construction site performance. They also identified that the site management team used conventional approaches (meeting and observation) to resolve management and technical problems onthe construction site. The site management teams should be prepared to deal with on‐site problems and risks in a systematic and efficient way.KM can help to prevent the site management team from repeating past errors; by capturing best practices, lessons learned,and especially, the solutions to problems that arise on site, similar situations in the future can be dealt with efficiently and effectively.There is little written on how to improve site management practices through knowledge management.This paper focuses on a KM deployment at site management level and demonstrates that site management teams still do not have any systematic methods for the creation, capture, storage, sharing and reuse of knowledge.

Describes a problem‐oriented policing program in Jersey City that seeks to identify, analyze, and target drug, disorder, and violent crime problems in public housing. Describes the problem scanning and identification processes that were used to detect hot spot locations within six public housing sites in the study. Begins the research with a premise that public housing sites differ from one site to the next and that, even within some public housing sites, some common area places will have problems, while others will not. Research findings support this premise. Concludes that there is a distribution of crime problems both across and within public housing sites challenging the hot spot label universalistically applied to public housing sites. The problem identification process has implications for the way problem‐solving teams approach policing public housing sites.

The purpose of this paper is to perform a systematic review on the application of different multi-criteria decision-making (MCDM) methods in solving the site selection problem across multiple problem domains. The domains are energy generation, logistics, public services and retail facilities. This study aims to answer the following research questions: Which evaluating criteria were used for each site selection problem domain? Which MCDM methods were frequently applied in a particular site selection problem domain?

The goals of the systematic review were to identify the evaluating criteria as well as the MCDM method used for each problem domain. A total of 81 recent papers (2014–2018) including 32 papers published in conference proceedings and 49 journal articles from various databases including IEEE Xplore, PubMed, Springer, Taylor and Francis as well as ScienceDirect were evaluated.

This study has shown that site selection for energy generation facilities is the most active site selection problem domain, and that the analytic hierarchy process (AHP) method is the most commonly used MCDM method for site selection. For energy generation, the criteria which were most used were geographical elements, land use, cost and environmental impact. For logistics, frequently used criteria were geographical elements and distance, while for public services population density, supply and demand, geographical layout and cost were the criteria most used. Criteria useful for retail facilities were the size (space) of the store, demographics of the site, the site characteristics and rental of the site (cost).

This study is limited to reviewing papers which were published in the years 2014–2018 only, and only covers the domains of energy generation, logistics, public services and retail facilities.

MCDM is a viable tool to be used for solving the site selection problem across the domains of energy generation, logistics, public services and retail facilities. The usage of MCDM continues to be relevant as a complement to machine learning, even as data originating from embedded IoT devices in built environments becomes increasingly Big Data like.

Previous systematic review studies for MDCM and built environments have either focused on studying the MCDM techniques itself, or have focused on the application of MCDM for site selection in a single problem domain. In this study, a critical review of MCDM techniques used for site selection as well as the critical criteria used during the MCDM process of site selection was performed on four different built environment domains.

This paper aims to deal with integrated planning and scheduling problem in multi-site manufacturing environment and provides a comprehensive review of literature. Classification schemes and various aspects of planning and scheduling problem in multi-site manufacturing are highlighted.

A structured review methodology is adopted to classify the relevant literature. Taxonomy for classification of the problem is presented, followed by review of modelling approaches, solution strategies and challenges faced in multi-site integrated planning and scheduling problem.

The paper is concluded with interesting research findings and a short view on directions related to modelling approach, solution strategy and technique for further developments in the area of multi-site integrated planning and scheduling.

The findings of this study would be helpful for future researchers and practitioners to provide a knowledge base and to further work in this area.

This study attempts to consolidate the diverse literature available and highlight the various aspects of planning and scheduling in multi-site manufacturing.

The purpose of this paper is to develop a methodological usability evaluation approach for e‐commerce websites in developing countries.

A multi‐faceted usability evaluation of three Jordanian e‐commerce websites was used, where three usability methods (user testing, heuristic evaluation and web analytics) were applied to the sites.

A four‐step approach was developed to facilitate the evaluation of e‐commerce sites, mindful of the advantages and disadvantages of the methods used in identifying specific usability problems.

The approach was developed and tested using Jordanian users, experts and e‐commerce sites. The study compared the ability of the methods to detect problems that were present, however, usability issues not present on any of the sites could not be considered when creating the approach.

The approach helps e‐commerce retailers evaluate the usability of their websites and understand which usability method(s) best matches their need.

This research proposes a new approach for evaluating the usability of e‐commerce sites. A novel aspect is the use of web analytics (Google Analytics software) as a component in the usability evaluation in conjunction with heuristics and user testing.

The purpose of this study is to solve five key brownfield valuation problems.

This aim is achieved by using doctoral research on integrating the scientific process into the appraisal process. The first objective is demonstrating why four of the problems require solutions prior to solving the first problem, a valuation procedure for formerly used sites. A second objective is to use empirical data from appraisals to reveal why existing methodology is not reliable – because it does not solve the four problems.

The resulting findings are that a developmental model that incorporates the Triad approach to quantifying environmental uncertainty, initially used in the USA, simulates a process used by buyers to establish the price paid for brownfields with contaminated land.

The practical implication that results from this research is that valuers need to emulate the buyer's process when valuing this property type. Prescriptive procedures for valuation requiring the use of scientific methods, as used in the Triad process, need to be set forth to quantify the atypical uncertainties in valuing this property type. The results of this research should be of significant interest to all stakeholders that are involved in brownfield redevelopment, so that they can insure that their needs will be met by improved feasibility analysis.

This research is unique in that it is the first empirical test of the reliability of the valuation of brownfields that need to undergo a time‐consuming and often expensive soil remediation process.

To deal with the present situation and recover after the COVID-19 pandemic, construction firms are required to recognise the trends in construction supply chain management (CSCM) for the upcoming years and determine the appropriate practices towards the trends for the improvement of construction activities in terms of strategy, tactic and operations. This paper aims to recognise key trends in CSCM and uses these trends as strategic criteria for the evaluation and prioritisation of lean construction (LC) tools at different project phases including design and architectural engineering, planning and control, on-site construction and safety management.

The integrated analytic hierarchy process–Delphi method is used to collect and analyse the data from construction experts to evaluate the importance levels of the CSCM trends and recommend the appropriate tools for LC practices to improve project performances.

Seven key CSCM trends are identified: lean supply chain management (SCM), supply chain (SC) integration, SC standardisation, SC problem-solving, SC information-sharing, SC flexibility and SC sustainability. Based on these trends, a set of prioritised lean tools are suggested for LC practices, in which “virtual design construction” (VDC) and “last planner system” are considered as the central tools. These two LC practices can be integrated with other effective tools to support the strategic, tactical and operational targets in construction supply chain (CSC) projects.

This study gives the managerial implications by developing an application framework of LC practices for CSC projects. The framework promotes “VDC” as a strategic tool for the phase of design and architectural engineering and considers “last planner system” as the central LC practice for the phase of project planning and control. The framework also focuses on the improvement of efficiency in construction operations by taking into account the aspects of on-site collaboration, problem-solving, improvement and safety.

Up to date, there is still a lack of researches in classifying and prioritising the significant LC tools for each project phase to deal with CSC issues in both breadth and depth. Thus, this study is performed to provide construction managers with the awareness of CSCM trends on which they can focus to have strategic criteria for selecting LC practices to improve CSC performances.

It is recognised by valuers that the effects of coal mining on land in Great Britain can have a significant impact oon the value of a particular site when it is being considered for potential surface development purposes. In this respect a great many buildings are erected successfully each year within mining areas after the effects of mining have been taken into account. If, however, the adverse effects of mining are not recognised and during the site development stage a problem suddenly appears, it is obvious that this may lead to considerable increases in cost and/or delay to the proposed development for which the land was originally purchased. Obviously with sufficient prior appreciation and investigation of the mining position such situations could be avoided. It is with this in mind that the following paper aims to indicate in broad outline, but in such detail relevant to the valuer, some of the major influences of coal mining which require to be recognised and equated in monetary terms when assessing potential site values for development purposes in mining areas.

Digital inclusivity is about making web sites available to users regardless of a user’s device or disability. This study seeks to find out how accessible and mobile ready state library web sites are and if there is a relationship between web site accessibility and mobile readiness.

I examined web site accessibility through automated code evaluation and manual code inspection of the web site homepage. I evaluated mobile readiness by comparing how homepages displayed on a desktop computer vs. a smart phone.

Most state library web sites had accessibility problems, including missing alternative text for images (82%), inaccessible forms (54%), and poor contrast between text and background (56%). Only 36% of the sites were mobile ready. A Spearman rho analysis of accessibility and mobile readiness found that the more accessible a site is, the more likely it is mobile ready (and vice versa).

While this study identified accessibility and mobile readiness issues, it does not address why these problems exist. In addition, the unit of analysis was limited to the web site homepage. The study’s results emphasize the need to combine manual code inspection with automated analysis, particularly for images’ alternative text.

The study suggests that state libraries need to take greater care in meeting accessibility standards, particularly easily followed standards such as providing appropriate alternative text for images.

Despite the importance of state libraries in organizing and funding local libraries, there has been little research to date on state library web sites.