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The industrialized housing system (IHS) is regarded as an effective building philosophy based on off-site construction techniques to achieve rapid and cost-effective housing development. The purpose of this paper is to develop a multi-criteria decision-making support system (DMSS) model for the evaluation of housing systems to select the relevant decision factors and to identify the types and characteristics of suitable IHSs for application in a mass housing development.

A multi-criteria DMSS model with the analytical hierarchy process was designed. Based on the literature review and also the response of the ten experts’ interviews, 30 decision factors were identified for evaluation. In addition, 5 IHSs were considered as a case study for testing the model. Then, 30 professionals participated in a questionnaire survey conducted to evaluate the priority vector importance level of the decision factors and housing systems.

The result of the decision-making process showed that the top three decision factors are customer needs, supply chain and the construction industry. In addition, both precast concrete beam and slab blocks, as well as agro stone panels are identified as suitable housing systems. The systems have the characteristics of being lightweight, easy to produce and erect, and cost-effective, and they use local input resources and semi-skilled labor. The findings also revealed the potential and practicality of the model among multiple alternatives across multiple decision factors.

The study has faced the limitations of available professionals and experts who have rich experience in the application of IHSs. In addition, there were few types of alternative IHSs and limited practice of IHSs implementation in large-scale housing construction. These challenges caused limitations to the relevant data collection. In order to address these challenges, all the available experts from the different sectors of the construction industry with the experience of IHSs construction are invited to participate and the available alternative IHSs in the market are selected for evaluation.

The rational evaluation method used to determine the important decision factors and the general characteristics of the suitable housing systems can help housing developers and decision makers in developing countries to make informed and effective decisions.

The findings of the study help to address the challenge of lack of sufficient housing supply to the overwhelming housing demand that exists and identify the most important decision factors and suitable housing systems that can be applied for the rapid and decent large-scale housing developments at an affordable price.

This paper bridges the knowledge gaps that exist regarding the identification and evaluation of IHSs in Ethiopia. This study can help practitioners, housing developers, and decision makers to make informed and effective decisions regarding the evaluation and selection of IHSs.

This paper aims to explore buying decision factors and approaches of companies operating in manufacturing industry in Croatia.

The data collected by company survey were analysed using exploratory and confirmatory factor analyses, cluster analysis and cross-tabulation analysis.

Results show that manufacturers are influenced by six distinctive factors when making purchasing decisions. These are supplier’s flexibility, supplier’s reliability, interdepartmental communication, top management support, routine purchases and buyer’s price sensitivity. Manufacturers can be classified in four different groups according to their buying decision-making patterns.

This paper provides a set of factors and approaches which might help selling companies and sales representatives understand the purchasing practices of buying company better, and develop adaptive selling approaches accordingly.

Based on a literature review and field research, an instrument of organizational buying behaviour was developed and tested in the Croatian manufacturing industry. The factors of organizational buying behaviour patterns were identified, and the typology of buying decision approaches applicable for manufacturing industry was developed.

Industry uptake of digital modeling is improving. Recent evidence suggests building information modeling (BIM) is the commercial reality of today’s construction education, and the way of the future that has truly begun. Amongst the significance of this is BIM’s potential to revolutionize the industry. The purpose of this paper is to use the learning experiences of undergraduate students in two construction management subjects involving quantity measurement and cost estimation to explore students’ motivation toward BIM education. In particular, the study investigates decision factors underlying students’ selection of software for information management in a modeling environment.

A total of 674 undergraduate students from the same institution were surveyed, out of which 153 responses were retrieved. The data provide insights into decisions taken by students while metamorphosing traditional processes into BIM-driven outcomes, in the form of commercial estimates of a real life project reported through a bill of quantities. Some 29 decision factors were analyzed. These include prior training, flair for creativity, ease of use, economic reasons, learning outcomes, on-going technical support and support infrastructure. Reductionist methods involving factor analysis and Cronbach’s α reliability estimate procedures were used to investigate the most important decision factors from amongst the decision factors analyzed.

Results show all the 29 decision factors are statistically significant. Access to on-going support, the mandatory requirement to use a particular tool to complete an assessment task and the requirement to use the tool for job duties are the most significant decision factors. Vendors’ persuasion and the capability of the tool to achieve better outcomes than others are least significant. Statistical correlations between the decision factors were obtained. They all suggest near-absolute correlations.

The practical implications of these findings are vital. They help to unravel factors that promote students’ interest in BIM education, and contribute toward the development of software selection models that are relevant to professionals and incipient businesses.

Future studies on decision analysis can be built on the findings also. In particular, the decision factors help in developing creative cognitive solutions to BIM adoption issues. They also help on the challenge posed by the constraints of knowledge diffusion within and across project teams, and in designing tools that meet the requirements of non-design disciplines who also play vital roles in the BIM project environment.

This study aims to investigate the manufacturing reshoring decision-making content from an Eclectic Paradigm perspective.

Data were collected through a six-step systematic literature review on factors influencing manufacturing reshoring decision-making. The review is based on 100 peer-reviewed journal papers discussing reshoring decision-making contents published from 2009 to 2022.

In total, 80 decision factors were extracted and then categorized into resource-seeking (8%), market-seeking (11%), efficiency-seeking (41%) and strategic asset-seeking (16%) advantages. Additionally, 24% of these were identified as hybrid, which means that they were classified into multiple categories. Some decision factors were further identified as reshoring influencing factors (i.e. drivers, enablers and barriers).

Scholars need to consider what other theories can be used or developed to identify and evaluate the decision factors (determinants) of manufacturing reshoring as well as how currently adopted theory can be further advanced to create clearer and comprehensive theoretical frameworks.

This research underscores the importance of developing clearer and more comprehensive theoretical frameworks. For practitioners, understanding the multifaceted nature of decision factors could enhance strategic decision-making regarding reshoring initiatives.

To the best of the authors’ knowledge, this is the first study to investigate the value and practicality of the Eclectic Paradigm in categorizing factors in manufacturing reshoring decision-making content and presents in-depth theoretical classifications. In addition, it bridges the gap between decision factors and influencing factors in the decision-making content research realm.

Scholarly communication in the U.S. has been closely examined in the past two decades by librarians because of the acceleration in costs of serial, scholarly communication. Specific disciplines of research have increased at unprecedented rates, namely the areas of scientific, technical, and medical (STM) publishing.

This chapter presents an understanding of the nature, peculiarities and factors that influence decision-making by executives and managers across the various sub-regions of Africa. Focusing on factors such as culture, faith, ethics, information paucity and institutions, the chapter examines the prevailing nature of decision-making in West Africa, East Africa, Northern Africa and Southern Africa. Interestingly, decision-making in these regions is characterised by unique features and peculiarities. The Ubuntu African philosophy was used to illustrate the traditional African lifestyle and decision-making practice. Drawing from both traditional and contemporary decision-making approaches, it identifies similarities as well as differences in the approach employed by decision-makers across the various sub-regions of Africa. To clearly articulate the similarities and differences, interviews and surveys were used to gather data from managers operating in these regions. Factor analysis enabled the description of underlying factors that drive decision-making within each region. The chapter further illustrates a framework for decision-making practice in Africa, which shows the dynamics and important features of decision-making among executives in Africa. The author describes decision- making as an essential competence for managers and posits that being cognisant of the factors that influence decision-making significantly improves organisational performance. In conclusion, it recommends suitable strategies that enhance the quality of decision-making for both managers and educators.

Referring to “behavioural finance” and “normative model” theories, this study explores the relative significance of behavioural heuristic biases in the investment decisions of real estate investment trusts (REITs) when compared with the conventional normative decision factors, with an ultimate aim to identify the significant behavioural factors that should be avoided to ensure rational asset acquisitions and market efficiency.

A triangulation approach was adopted. Qualitative multiple case studies were conducted, with four cases selected from Australian and New Zealand REITs across the industry, to identify what normative and behavioural finance factors are involved in investment decisions. This formed the basis for the subsequent expert review survey to explore how significant the behavioural factors were manifested in the judgement when compared with the normative factors.

Three out of four theoretical behavioural factors manifested themselves in the investment decisions: investor sentiment, anchoring factors and overconfidence. The overall impact of these three behavioural factors was that they were as significant as normative factors in investment decisions. The heuristic availability of information was found to have no significant effect on experienced REIT fund managers.

The findings were based on four multiple cases and an expert review survey of six frontline fund managers, which form a baseline upon which further research can be conducted to widen the scope of research to cover all REITs in Australasia so that the results can become more robust to benefit the entire market in the region.

As behavioural factors are significant in the decision-making process, REIT fund managers should raise awareness to avoid the significant behavioural factors identified, in particular investor sentiment, which was found to be the most significant one.

This study confirms the relative significance of behavioural factors in property investment decisions within the context of Australasian REITs and alerts fund managers to the ways they should follow to ensure rational investments and market efficiency. It also extends the scale of existing studies to cover not only Australia but also New Zealand for the benefit of the entire Australasian market.

This paper aims to examine key determinants that influence the decision to outsource facilities management (FM) services. FM is said to be acquiring increasing popularity all over the globe, with several sourcing strategies springing up for FM services provision.

Based on questionnaire survey approach, this paper uses purposive sampling to administer 84 questionnaires to selected bank executives operating in the 21 licensed commercial banks in Nigeria, soliciting their responses about what constitute key determinants of outsourcing decision in the context of FM services provision. In all, 41 responses were received, giving a response rate of 49 per cent.

Supported by empirical evidence, this study established 14 factors as key determinants of outsourcing decision for FM services provision. The top three rated factors were “to improve company’s focus”, “to make cost transparent” and “to improve stakeholders’ satisfaction”, while “to restrict own investment in staff”, “to retire personnel” and “to play along with trend in privatisation” were the least rated. There was no significant difference in the rankings of the factors by respondents, while most of the highly rated factors exhibited strong correlation with other factors.

Due to limited dimension of sample size, more robust techniques such as factor analysis and structural equation modelling could not be used.

This paper provides an enhanced understanding of outsourcing decision and basis for further research into decision support models for outsourcing in the context of FM services provision.

The extensive normative literature on capital budgeting decision models tends to ignore many factors that influence choice processes. This paper identifies task factors, context factors, and decision maker factors which influence perceived risk in capital budgeting decisions. Central issues explored in the paper are (a) whether some context and decision maker factors can be included in a capital budgeting decision support system's knowledge system, and (b) whether a decision support system can adapt its choice models and interface to different decision situations based on knowledge about task factors, context factors, and decision maker factors.