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The purpose of this paper is to develop and empirically assess a comprehensive operations and supply chain management (SCM) model. The theorized model incorporates supply chain market orientation, Just-in-Time (JIT) and Total Quality Management (TQM) as antecedents and agile production (AP) and green SCM (GSCM) practices as consequences.

Data from a sample of 136 US manufacturing managers were collected via an on-line survey firm. A partial least squares structural equation modeling is used to assess the efficacy of the theorized model.

Generally, market orientation supports the implementation of JIT and TQM, JIT and TQM support implementation of SCM, SCM supports implementation of AP and green supply chain management practices (GSCMP) and AP and GSCMP positively impact organizational performance.

The model tested reflects the synergy created though the implementation of management improvement programs that support the six strategic imperatives of customer focus, efficiency, effectiveness, integration with supply chain partners, responsiveness, and environmental sustainability and the effects of those programs on the marketing and financial performance of manufacturing organizations.

The theorized model and results provide practicing managers with a blueprint for the systematic implementation of the improvement programs.

A comprehensive operations and SCM model is proposed and empirically assessed. The results of this investigation support the proposition that market orientation, JIT, TQM, SCM, AP and GSCMPs combine to positively affect organizational performance. The central role of the SCM construct is emphasized.

The purpose of this paper is to find optimal solutions for conceptual design automation, which can be integrated with Building Information Modelling (BIM) support for construction automation. Problems relating ostensibly to failures in computational support for the conceptual design stage are well-documented in extant literature. These failures are multifarious and significant, with several deficiencies being acknowledged in the Architecture, Engineering, and Construction (AEC) industry. Whilst acknowledging this, extant literature has highlighted the importance of computational design in the AEC industry; and failures in this area include the need to strengthen the congruent links and support mechanisms in order to exploit the opportunities presented by new computational design methods. Given this, it is postulated that the application of generative design could enhance the design experience by assisting designers with the iterative generation of alternatives and parameterisation (change management) processes. Moreover, as BIM applications are increasingly providing comprehensive support for modelling and management, then additional synergies could be examined for further exploitation.

This paper focusses on the potential for developing an interactive BIM environment that purposefully adopts generative design as a method of computational design for the early design stages. This research facilitates the automation of the conceptual architectural design process, using BIM as the central conduit for enhancing the integration of the whole building design process (including design interfaces). This approach is designed to improve designers’ cognition and collaboration during the conceptual architectural design process.

This paper evaluates the existing methods and decision support mechanisms, and it introduces the potential of combining different concepts into a single environment (generative design/BIM).

This research is novel, in that it critically appraises virtual generative workspaces using BIM as the central conduit. The outcome and intervention of this research forms a theoretical basis for the development of a “proof of concept” prototype, which actively engages generative design into a single dynamic BIM environment to support the early conceptual design process.

This study addresses the global landscape of offsite construction, highlighting its variable adoption patterns and the challenge posed by the prevalent use of suboptimal decision-making methods. In response, the decision-making model seeks to equip decision-makers with tools for well-informed decisions on concrete construction systems, tailored to the unique characteristics of each project, in contrast to the persisting reliance on expert knowledge, checklists or similar tools.

The study extracts decision-making criteria through literature reviews, pilot studies and surveys amongst Australian construction professionals. A comprehensive comparison of four concrete systems against each identified criterion is conducted, followed by the application of an integrated decision model (Entropy-TOPSIS) to rank the systems, considering all criteria simultaneously. Real-world case studies validate the practical applicability of the model.

An analysis of 15 criteria demonstrated the multifaceted nature of selecting concrete construction systems, emphasising evolving industry priorities like time efficiency, environmental considerations and logistical constraints. The enduring appeal of in-situ concrete in complex projects underscores the significance of traditional methods. The integration of the Entropy-TOPSIS model proved to be a robust decision-making tool, enabling professionals to simultaneously consider all criteria and make well-informed, customised decisions.

The study’s originality lies in its comprehensive approach, considering diverse criteria and presenting a flexible decision-making model suitable for the dynamic demands of the construction industry.

Individuals with special needs encounter multidimensional experiences in identification, assessment, labeling/categorization, placement, and instruction/intervention. These experiences call for multidimensional strategies that require different educational practitioners and professionals. These individuals must bring with them different ideas on how to remediate problems experienced by children and youth with special needs. Sometimes, in dealing with these issues, we forget that collaboration, consultation, and cooperation (the 3Cs) are keys. To advance these 3Cs, the Comprehensive Support Model (CSM) must be at work. Based on the CSM, students, families, school personnel, communities, and government agencies must work together to maximize the fullest potential of all students, including those with special needs.

The purpose of this paper is to identify key project delivery method selection factors to assist water industry decision-makers in selecting the most appropriate delivery method for their water treatment plant projects.

The selection factors were identified by compiling and validating key project delivery selection factors across various industries through an extensive literature review and two industry expert workshops. This resulted in the development of a web-based decision-support tool to facilitate project delivery method selection within the water industry.

The research effort led to the identification of 13 key project delivery method selection factors (seven primary factors and six secondary factors) for water treatment plant projects. These factors were utilized to develop EXPRSS-TP, a pioneering web-based project delivery method decision-support tool for the water industry.

A project delivery method selection process is typically an informal process that may range from days to weeks at a time. Based on this work, the assessment can now be completed in about one hour and provides decision-makers with the most favorable delivery method for their project. And with the new tool that encompasses the new knowledge, not only is the decision reached at an accelerated pace, EXPRSS-TP also documents the entire selection process, allowing for a written and retained record of this key decision and its procedure.

This paper contributes to the exisiting body of knowledge by identifying key project delivery selection factors across numerous industries, assessing and combining them, and finally incorporating them into one comprehensive process. EXPRSS-TP improves the traditional project delivery method selection process and provides evidence-based project delivery method selection recommendations.

The spread and level of loneliness is today considered a public health issue. Attempts to promote or reduce the level of loneliness have been made, one of which is social prescribing (SP), developed and extensively used. Complex interventions such as SP are advised to be connected to theory.

For this purpose, the Person-Environment-Occupation-Participation model (PEOP) will be reviewed and used as an example, both as a way of organize occupational knowledge and as a model for practice.

Occupational therapy underpinned by transactional system theory such as the PEOP model seems to give comprehensive and relevant support in the SP process. Particularly, this model can guide practitioners through crucial phases when assessing needs, matching interests and goals with relevant occupations, as well as understanding of important components embedded in the program.

This opinion piece offers insights in why and how specific components connected to SP needs to be understood by theory and applied by personnel to facilitate a meaningful and sustainable occupational performance for the individuals.

The purpose of this paper is to analyse current challenges and to articulate the preconditions for data-driven, fact-based product portfolio management (PPM) based on commercial and technical product structures, critical business processes, corporate business IT and company data assets. Here, data assets were classified from a PPM perspective in terms of (product/customer/supplier) master data, transaction data and Internet of Things data. The study also addresses the supporting role of corporate-level data governance.

The study combines a literature review and qualitative analysis of empirical data collected from eight international companies of varying size.

Companies’ current inability to analyse products effectively based on existing data is surprising. The present findings identify a number of preconditions for data-driven, fact-based PPM, including mutual understanding of company products (to establish a consistent commercial and technical product structure), product classification as strategic, supportive or non-strategic (to link commercial and technical product structures with product strategy) and a holistic, corporate-level data model for adjusting the company’s business IT (to support product portfolio visualisation).

The findings provide a logical and empirical basis for fact-based, product-level analysis of product profitability and analysis of the product portfolio over the product life cycle, supporting a data-driven approach to the optimisation of commercial and technical product structure, business IT systems and company product strategy. As a virtual representation of reality, the company data model facilitates product visualisation. The findings are of great practical value, as they demonstrate the significance of corporate-level data assets, data governance and business-critical data for managing a company’s products and portfolio.

The study contributes to the existing literature by specifying the preconditions for data-driven, fact-based PPM as a basis for product-level analysis and decision making, emphasising the role of company data assets and clarifying the links between business processes, information systems and data assets for PPM.

The purpose of this paper is to develop a model to analyse what personality traits impact entrepreneurial cognitive and social strategic decision-making skills, originating from the effectuation framework.

A total of 128 participants from an entrepreneurial pre-launch programme were assessed by experienced incubator and business coaches. Personality was measured by a Big Five test. Based on a confirmatory factor analysis, the relationships were analysed between personality and three core dimensions of the effectuation framework: the bird-in-hand principle, the crazy quilt principle and the pilot in the plane principle.

Specific patterns (moderation effects) as opposed to levels of personality traits proved to be relevant. The bird-in-hand and the crazy quilt principles are related to the moderating effect between sensitivity to feedback, sociability and ambition. The pilot in the plane principle was related to the whole pattern of entrepreneurial key qualities embedded in the extraversion domain. Furthermore, relationships of personality with key issues in the effectuation framework were found, examples being reflecting on a high diversity of means or on own talents, conducting a thorough risk analysis and engaging in inspirational networking. The final model revealed a direct positive influence of the capacity to conduct a thorough risk analysis on the overall capacity to apply the effectuation principles.

A limitation of this study is the exclusion of the lemonade principle from the final model. This being based on unsatisfying model fit indices. Another limitation is the cross-sectional design, as well as the chosen research context: the pre-launch entrepreneurial programme.

The research results shed a light on the impact that personality plays in adoption of effectual decision making.

The effectuation framework is widely used by individual entrepreneurs, SMEs and start-ups, to design innovative business models or implement an up-scaling strategy.

Little is known about the underlying mechanisms of the effectuation framework. Moreover, evidence-based insights are offered to entrepreneurs that intent to mobilise effectual behaviours.

The chapter discusses the objectives and assumptions of the Time4Help project in Poland, where solutions were developed for the target group of women aged 45–65. The authors described parts of the model solution and the process of testing it which, due to the COVID-19 pandemic, was performed remotely. The conclusions from the testing stage were used to prepare the final version of the Time4Help model.

There have been major efforts to develop the technology for integrated construction environments and the mechanisms needed to improve the collaboration between construction professionals. Evidently, the development and usage of such an environment is a complicated task. The two issues that can be among the main contributors to this are: the development of the technology and its effective implementation. These two issues are addressed separately in this paper. The paper first explains the approaches of sharing project information, followed by a review of a recent project in this area, the result of which is a distributed integrated construction environment based on the industry foundation class (IFC), capable of supporting a number of construction applications. This environment is capable of supporting a construction team to work collaboratively over the internet. It then discusses the difficulties facing the successful implementation of such environments in construction organisations. This is addressed within the context of two management models for effective implementation of IT: the resource‐based model and the Nolan model.