Michael Babula, Max Tookey, Glenn Muschert and Mark Neal
The purpose of this paper is to answer the question, “Can particular types of altruism influence people to make unethical decisions?” The purpose of seeking to answer this…
Abstract
Purpose
The purpose of this paper is to answer the question, “Can particular types of altruism influence people to make unethical decisions?” The purpose of seeking to answer this question is to better understand those cases in personal, public and commercial life whereby a decision-maker is influenced by what is widely perceived to be a positive thing – altruism – to make unethical choices.
Design/methodology/approach
An experiment was designed to test the influence of different categories of altruism on decision-making about whether to find another guilty for a regulatory transgression. This involved the establishment and running of a student panel at a UK university, which was given the task of determining the guilt or otherwise of two students accused of plagiarism – one from a poor background; one from a rich background. Through a survey of both the decision-makers and their judgments, and by analyzing the data using t-tests and Mann–Whitney tests, the associations between different categories of altruism and the decisions made could be ascertained.
Findings
A total of 70.7% of the participants voted “not-guilty” for the poor student, whereas 68.3% voted “guilty” for the wealthy student. This indicated that self-interested, namely, egoistic altruism complemented by social and self-esteem needs gratification was significantly associated with violating foundational ethical principles.
Originality/value
This is the first study to be done that attempts to evaluate the relationships between different categories of altruism and ethical decision-making. The findings here challenge aggregating all forms of empathy together when exploring the antecedents of unethical behavior.
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Gabriella Cagliesi, Denise Donna Hawkes and Max Tookey
The purpose of this paper is to adopt the principles of labour economics, behavioural economics and social influence to identify constraints and enablers that influence people’s…
Abstract
Purpose
The purpose of this paper is to adopt the principles of labour economics, behavioural economics and social influence to identify constraints and enablers that influence people’s choices in relation to the labour market decisions.
Design/methodology/approach
A sequential empirical methodology has been adopted, where data from the British Household Panel Survey (2009) has been collected to explain various statuses of labour market activity, with a focus on workless-ness, across the categories of unemployment, being a student, disability, retirement and being a carer – differentiating for gender and age. The paper develops and substantiates the hypothesis theoretically and gives some indications using a multi-disciplinary approach.
Findings
The authors found that labour market opportunities, choices and achievements are affected by the interrelations and interactions of an individual’s demographic and psychological characteristics (such as age, gender, heuristics, perceptions, beliefs, attitude’s goals and ambitions) along with external factors (such as geographical, socio- cultural and economic conditions).
Originality/value
This study makes a unique contribution to labour economics as the authors abandon the traditional welfare approach and use a more general framework of capabilities and refined functioning to interpret how different types of constraints – ranging from socio-economic conditions and environmental background to specific features of individual processes of choices and decision making – affect preferences and functioning’s. The study also identifies how “under-employment” complements the use of BE/social influence in explaining labour market inactivity, and highlights how the findings of this study have important implications for policy.
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Dat Tien Doan, Ali GhaffarianHoseini, Nicola Naismith, Amirhosein Ghaffarianhoseini, Tongrui Zhang and John Tookey
Green building information modelling (BIM) has been highlighted as an essential topic owing to its potential benefits. However, both Green Star and BIM are still in their earlier…
Abstract
Purpose
Green building information modelling (BIM) has been highlighted as an essential topic owing to its potential benefits. However, both Green Star and BIM are still in their earlier stages in New Zealand. This paper aims to examine and evaluate the benefits, barriers/challenges and solutions for the integration of Green Star and BIM in New Zealand.
Design/methodology/approach
In this paper, a total of 77 responses collected from construction professionals in New Zealand using questionnaires were analysed through descriptive and statistical tests.
Findings
Building performance modelling used for Green Star assessment can be implemented using BIM; this was highlighted as the most significant benefit of the integration. Whereas, the most significant barrier preventing the integration of Green Star and BIM was the fact they are two completely separate processes. Regarding the solutions for the integration, showcasing BIM-Green Star benchmark projects was considered as the most effective solution amongst a range of eight provided.
Originality/value
The research provided insights into Green Star–BIM integration in New Zealand. By evaluating the significance of the benefits, barriers/challenges and solutions for the integration, this research could be used as a guideline for Green Star and BIM development by New Zealand Green Building Council (NZGBC), the Government and construction practitioners in New Zealand. Specifically, the results here could be valuable inputs for Green Star manuals and the New Zealand BIM handbook.
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Until recently, little research has been directed at the measurement of the impact of governmental support on the firm. The major focus of this article is on the methodological…
Abstract
Until recently, little research has been directed at the measurement of the impact of governmental support on the firm. The major focus of this article is on the methodological and measurement issues that appear to have a confounding effect and may account for broad equivocality of the findings in many of the studies. An evaluation paradigm is developed and applied to the research reviewed. The article concludes with a synthesis of the issues and provides specific directions for future research.
Okechukwu Bruno-Kizito Nwadigo, Nicola Naismith, Ali GhaffarianHoseini, Amirhosein GhaffarianHoseini and John Tookey
Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to…
Abstract
Purpose
Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.
Design/methodology/approach
The authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.
Findings
The content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.
Originality/value
This research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.
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The latest information from the magazine chemist is extremely valuable. He has dealt with milk‐adulteration and how it is done. His advice, if followed, might, however, speedily…
Abstract
The latest information from the magazine chemist is extremely valuable. He has dealt with milk‐adulteration and how it is done. His advice, if followed, might, however, speedily bring the manipulating dealer before a magistrate, since the learned writer's recipe is to take a milk having a specific gravity of 1030, and skim it until the gravity is raised to 1036; then add 20 per cent. of water, so that the gravity may be reduced to 1030, and the thing is done. The advice to serve as “fresh from the cow,” preferably in a well‐battered milk‐measure, might perhaps have been added to this analytical gem.
Hossam Wefki, Mona Salah, Emad Elbeltagi, Asser Elsheikh and Rana Khallaf
Given the growing interest in modern construction techniques and the emergence of innovative technologies, construction site layout planning research has progressively been…
Abstract
Purpose
Given the growing interest in modern construction techniques and the emergence of innovative technologies, construction site layout planning research has progressively been investigating approaches to adopt innovative concepts and incorporate renewed approaches to improve widespread efficiency. This research develops a decision-making tool that optimizes construction site layout plans. The developed model targets two main objectives: minimizing material transportation costs and maximizing safety by optimally placing facilities on construction sites.
Design/methodology/approach
A novel approach is devised based on the integration of Building Information Modeling and Generative Design (BIM-GD). This engine is used to optimize the multi-objective site layout problems to identify layout alternatives in the early project stages. Parametric modeling uses Dynamo to construct the model and explore constraints initially. Finally, the GD environment is utilized to create different design alternatives, and then the decision-making procedure selects the most appropriate design alternative. Additionally, a case study is applied to validate the effectiveness of the developed model.
Findings
The results indicate the effectiveness of the proposed GD tool and its potential for more complex applications. The GD engine examined optimal layout plans, balancing different objectives and adhering to appointed geometric constraints. A case study was conducted to assess the model's effectiveness and showcase its suitability. Construction Site Layout Planning (CSLP) is an essential step in design that can influence considerable aspects, such as material transportation expenses and different safety standards on the site. Employing visual programming for parametric modeling within Dynamo-Revit creates an expedient and user-friendly platform for planning engineers who may require more programming expertise to create and program algorithmic models visually. Utilizing GD in CSLP has proven to be a powerful tool with consequential prospects for improving applications and executing more models.
Practical implications
The findings from this framework are intended to help construction practitioners select the most appropriate site layout during early project stages while incorporating different safety criteria inside construction sites to alleviate actual safety risks.
Originality/value
A new approach is proposed that utilizes an integrated BIM-GD engine to optimize multi-objective site layout problems. This approach targets two main objectives: minimizing material transportation costs and maximizing safety by optimally placing facilities in construction sites.
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Alireza Ahmadian F.F., Taha H. Rashidi, Ali Akbarnezhad and S. Travis Waller
Enhancing sustainability of the supply process of construction materials is challenging and requires accounting for a variety of environmental and social impacts on top of the…
Abstract
Purpose
Enhancing sustainability of the supply process of construction materials is challenging and requires accounting for a variety of environmental and social impacts on top of the traditional, mostly economic, impacts associated with a particular decision involved in the management of the supply chain. The economic, environmental, and social impacts associated with various components of a typical supply chain are highly sensitive to project and market specific conditions. The purpose of this paper is to provide decision makers with a methodology to account for the systematic trade-offs between economic, environmental, and social impacts of supply decisions.
Design/methodology/approach
This paper proposes a novel framework for sustainability assessment of construction material supply chain decisions by taking advantage of the information made available by customized building information models (BIM) and a number of different databases required for assessment of life cycle impacts.
Findings
The framework addresses the hierarchy of decisions in the material supply process, which consists of four levels including material type, source of supply, supply chain structure, and mode of transport. The application is illustrated using a case study.
Practical implications
The proposed framework provides users with a decision-making method to select the most sustainable material alternative available for a building component and, thus, may be of great value to different parties involved in design and construction of a building. The multi-dimensional approach in selection process based on various economic, environmental, and social indicators as well as the life cycle perspective implemented through the proposed methodology advocates the life cycle thinking and the triple bottom line approach in sustainability. The familiarity of the new generation of engineers, architects, and contractors with this approach and its applications is essential to achieve sustainability in construction.
Originality/value
A decision-making model for supply of materials is proposed by integrating the BIM-enabled life cycle assessment into supply chain and project constraints management. The integration is achieved through addition of a series of attributes to typical BIM. The framework is supplemented by a multi-attribute decision-making module based on the technique for order preference by similarity to ideal solution to account for the trade-offs between different economic and environmental impacts associated with the supply decisions.
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Edison Jolly Cyril and Harish Kumar Singla
The paper aims to investigate the effect of firm age and size on profitability and productivity of construction firms in India. It also attempts to understand the indirect effect…
Abstract
Purpose
The paper aims to investigate the effect of firm age and size on profitability and productivity of construction firms in India. It also attempts to understand the indirect effect of firm age and size on profitability mediated through firm's productivity.
Design/methodology/approach
Data of 64 construction firms, for a period of 12 years (2006–2017), were collected. In order to measure the direct and indirect effect of size and age on profitability and productivity, a structural equation model was developed. In the structural models, productivity is a latent variable measured through proxies of material productivity (MP), labor productivity (LP) and equipment productivity (EP). The profitability is measured using three financial ratios: return on asset (ROA), return on capital employed (ROCE) and return on net worth (RONW). Then the direct and indirect effect of age and size is measured on ROA, ROCE, RONW and productivity.
Findings
The findings of the study suggest that age has a direct negative effect on profitability; however, it has an indirect positive effect on profitability, which is mediated by firm's productivity. This positive indirect effect compensates the direct negative effect and leads to an overall positive effect of firm age on profitability. However, firm size shows no effect on profitability and productivity.
Originality/value
To the best of authors’ knowledge, the study is the first attempt to measure the indirect effect of age and size on profitability, mediated through productivity. The study also examines the interrelationship among firms’ profitability and productivity and bridges an important research gap. The study proposes an integrated theoretical framework with a clear view of the interrelationships among age, size, profitability and productivity for construction firms in India, which can be further tested and validated for generalization.
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Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing…
Abstract
Purpose
Nowadays, designing environmentally compatible buildings with acceptable performance in terms of cost, materials, and energy efficiency is considered crucial for developing sustainable cities. This research aims to identify and rank the most influential factors in the application of Building Information Modeling (BIM) systems in the smartification of green and sustainable buildings.
Design/methodology/approach
The present research is applied and descriptive. In this study, we identified the most influential factors in the application of Building Information Modeling (BIM) systems through library studies and expert opinions. Data were collected using a questionnaire, and a combination of the one-sample t-test method with a 95% confidence level and the fuzzy VIKOR method was employed for analysis.
Findings
The results show that the most influential factors in the application of Building Information Modeling (BIM) systems in the Smartification of green and sustainable buildings, in order, are: “Energy saving and consumption reduction,” “Increased productivity and efficiency,” “Life-cycle assessment (LCA),” “Eco-friendly design,” “Integration with IoT and other technologies.”
Originality/value
In this study, while addressing the intersection of BIM technology, green building principles, and smart building objectives to optimize the performance of buildings during their life cycle, the most influential factors in the use of this system were ranked based on the criteria of “impact level,” “importance level,” and “availability of necessary tools” for implementation in Kerman. Moreover, solutions for more effectively utilizing this system in the smartification of green and intelligent buildings were proposed.