Aspects of project learning in construction: a socio-technical model

2014 ◽  
Vol 14 (2) ◽  
pp. 229-244 ◽  
Author(s):  
Ali Mohammed Alashwal ◽  
Hamzah Abdul-Rahman
Keyword(s):  
Latent Variable ◽  
Construction Projects ◽  
Team Building ◽  
Principal Component ◽  
Measurement Model ◽  
Survey Method ◽  
Path Modeling ◽  
Content Type ◽  
Measurement Models ◽  
Project Learning

Purpose – The purpose of this paper is to determine the measurement constructs of learning within construction projects' milieu. The literature indicated some mechanisms of learning in projects under four aspects, namely knowledge sharing, knowledge creation, team action to learn, and learning support. The empirical study attempts to verify whether intra-project learning can be measured through these aspects. Design/methodology/approach – The study used a survey method to collect the data from 36 mega-sized building projects in Malaysia. In total, 203 questionnaires were collected from professionals working in the sites of these projects. The data were analysed using principal component analysis (PCA) to determine the constructs of intra-project learning. Partial least squares-path modeling was used then to confirm the results of PCA and determine the contribution of each construct to intra-project learning. Findings – The results affirmed two constructs of intra-project learning, named, social and technical and each consisted of four indicators of learning. Originality/value – The paper emphasized the socio-technical perspective of learning and contributed to developing a hierarchical measurement model of learning in construction project. A project manager can propose new initiatives in response to the new perspective of learning for team building and continuous development. Lastly, the paper provides a comprehensive presentation of how to estimate the hierarchical measurement models of project learning as a latent variable.

A hybrid approach for investigating impacts of leadership dynamics on project performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lan Luo ◽  
Limao Zhang ◽  
Xian Zheng ◽  
Guangdong Wu
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Team Building ◽  
Hybrid Approach ◽  
Project Performance ◽  
The State ◽  
Organizational Strategy ◽  
Content Type ◽  
Complex Construction ◽  
Over Time

PurposeThis paper proposes a novel hybrid simulation approach that incorporates the structural equation model (SEM) and system dynamics (SD) to investigate the impacts of leadership dynamics on project performance under different scenarios.Design/methodology/approachSEM is used to identify and validate a correlation between leadership variables and project performance statically. On this basis, the SD model is constructed to depict a system model connecting the leadership and project performance. Different scenarios are simulated to dynamically model the variation in leadership on the evolution of project performance.FindingsResults indicate that (1) leadership can be divided into personal ability, relationship atmosphere and organizational strategy in complex construction projects; (2) personal ability, relationship atmosphere and organizational strategy positively correlate with project performance over time; and (3) L1 (stress management ability), L7 (team building) and L17 (institution support) are the leading factors influencing project performance and should be paid more attention under limited resources.Originality/valueThis research contributes to (1) the state of the knowledge by proposing a hybrid methodology that can systematically model the impacts of leadership dynamics on project performance over time and (2) the state of the practice by gaining a better understanding of the strategy of resource distribution for enhancing project performance in complex construction projects.

Appraisal of stakeholders' willingness to adopt construction 4.0 technologies for construction projects

2020 ◽  
Vol 10 (4) ◽  
pp. 547-565 ◽  
Author(s):  
Temidayo Oluwasola Osunsanmi ◽  
Clinton Ohis Aigbavboa ◽  
Ayodeji Emmanuel Oke ◽  
Muredini Liphadzi
Keyword(s):  
South Africa ◽  
Construction Industry ◽  
Construction Projects ◽  
Survey Design ◽  
Principal Component ◽  
Sampling Technique ◽  
Design Management ◽  
Content Type ◽  
Willingness To Adopt ◽  
Structured Questionnaire

PurposeConstruction 4.0 technology has the capabilities for improving the design, management, operations and decision making of construction projects. Therefore, this study aimed at examining the willingness of construction professionals towards adopting construction 4.0 technologies.Design/methodology/approachThe study adopts a survey design, and construction professionals in South Africa are assessed using a convenience sampling technique through a structured questionnaire. The questionnaire was analysed with SPSS while statistical test like; mean score, t-test and principal component analysis was used to present the data.FindingsThe findings, from the analysis, revealed that the construction professionals are willing to adopt construction 4.0 technologies for construction project. However, the possibility of fully integrating the technologies into the construction industry is low. This is because the major technologies such as; Internet of things, robotics, human-computer interaction and cyber-physical systems that encourage smart construction site are rated as not important by the construction professionals.Practical implicationsIt is believed that the findings emanating from this study will serve as an indicator for investors that are interested in procuring construction 4.0 technologies for the construction industry.Originality/valueThis paper presents a framework for the application of construction 4.0 technologies for the construction industry. It also contributes to the development of digitalising construction industry in South Africa.

Influence of COVID-19 pandemic on local construction firms’ viability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olubimbola Oladimeji
Keyword(s):  
Construction Projects ◽  
Close Contact ◽  
Principal Component ◽  
Factor Loading ◽  
Content Type ◽  
Construction Firms ◽  
Factors Influencing ◽  
Local Construction ◽  
Prompt Attention

Purpose This paper aims to assess COVID-19 (C-19) pandemic influence in the 37 factors identified from extant literature as factors influencing the viability of local construction firms (LCFs). Design/methodology/approach A sample size of 65 staff of 31 LCFs that were awarded construction projects contracts in institutions in Nigeria was purposefully selected and accessed based on relevant predetermined criteria. Respondents’ views on factors determining the viability of LCFs were obtained. Factors known to be influenced by C-19 are 25 of the 37 factors rated on a five-point Likert scale of importance by the respondents. Mean scores were used to rank the factors and principal component analysis was used to obtain key component factors (CFs) influenced by the C-19 pandemic. Findings Six of the first ten “extremely important” and “very important” factors are known to be influenced by C-19 pandemic. A total of 8 CFs having 20 variables with factor loadings of more than 0.5 each were known to be influenced by C-19. The C-19 pandemic influenced LCFs’ cash flow and management of construction labour, plant and equipment amidst variables that had above 0.8 factor loading. Research limitations/implications A limitation of this study is the inability to conduct close contact interview during this period to obtain personal views on the influence of C-19 on LCFs. However, this does not reduce the quality of findings of this study, as there are valid literature basis hinging this study findings. Practical implications The paper recommends that all stakeholders pay prompt attention to the factors adversely affected by the C-19 pandemic to improve or at the least sustain the viability of LCFs. Originality/value This paper fulfils a present pertinent need of assessing the influence of the C-19 pandemic on various factors influencing the viability of construction firms.

The influence of smartphones on academic performance

2016 ◽  
Vol 34 (3) ◽  
pp. 480-499 ◽  
Author(s):  
Yong Jeong Yi ◽  
Soeun You ◽  
Beom Jun Bae
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Measurement Model ◽  
Mobile Technologies ◽  
Path Modeling ◽  
Cross Sectional Survey ◽  
Performance Impact ◽  
Cross Sectional ◽  
Content Type ◽  
Smartphone Use

Purpose The purpose of this paper is to investigate the factors that influence college students’ smartphone use for academic purposes by identifying the task-technology fit (TTF) of smartphones. A research model is proposed to explain how TTF of smartphones affects college students’ perceived academic performance and smartphone use. Design/methodology/approach Online surveys were administered to college students at a South Korean university that has offered online academic services for more than five years, and 1,923 valid responses were analyzed. The study used partial least squares path modeling to evaluate the measurement model, and the bootstrapping technique to test the significance of the hypotheses. Findings The findings highlight that the TTF of smartphones has a direct influence on students’ perceptions of performance impact and an indirect influence on smartphone use through a precursor of utilization, such as attitude toward smartphone use, social norms and facilitating conditions. Research limitations/implications Despite a reasonably large sample, a single cross-sectional survey has a likelihood of selection bias in the sample. Practical implications This study applies the TTF model to smartphone use among college students and suggests an effective way to motivate them to use mobile technologies for their academic activities. Originality/value The present study develops an empirical model to assess the adoption of smartphones and its effect on college students’ academic performance. Above all, the study identifies a causal relationship among TTF, precursor of utilization, smartphone use and a perceived impact on academic performance based on the development and validation of the TTF constructs of smartphones.

Innovations in concepts and measurement for the study of peace and conflict

2020 ◽  
Vol 57 (6) ◽  
pp. 669-678
Author(s):  
Christopher J Fariss ◽  
James Lo
Keyword(s):  
Latent Variable ◽  
Measurement Model ◽  
Theoretical Concept ◽  
Special Issue ◽  
Variable Model ◽  
Conflict Processes ◽  
Substantive Content ◽  
Measurement Models ◽  
Introductory Article ◽  
Peace And Conflict

The observation, measurement, and analysis of violent and contentious processes are essential parts of the scientific study of peace and conflict. However, concepts such as the level of repression, the number of individuals killed during a civil war, or the perception of members of an out-group, are often by definition difficult to observe directly. This is because governments, non-state groups, NGOs, international organizations, monitoring organizations, and other actors are not incentivized to make information about their actions systematically observable to analysts. In this context, latent variable models can play a valuable role by aggregating various behavioral indicators and signals together to help measure latent concepts of interest that would not otherwise be directly observable. Each of the articles in this special issue uses some form of a latent variable model or related measurement model to bring together observable pieces of information and estimate a set of values for the underlying theoretical concept of interest. Each of the articles pays special attention to the processes that make the observation of peace and conflict processes so challenging. As we highlight throughout this introductory article, the unifying framework we present in this special issue is validation. Though the substantive content of each of the articles in this special issue varies, they represent the diversity of substantive interests that span the study of peace and conflict, broadly conceived. Overall, we hope that the special issue becomes a standard reference for scholars interested in developing and validating new measurement models for the study of peace and conflict.

A synergy measurement model to support the pre-deal decision making in mergers and acquisitions

2014 ◽  
Vol 52 (6) ◽  
pp. 1194-1216 ◽  
Author(s):  
Stefano Garzella ◽  
Raffaele Fiorentino
Keyword(s):  
Decision Making ◽  
Mergers And Acquisitions ◽  
Planning Process ◽  
Relevant Literature ◽  
Measurement Model ◽  
Content Type ◽  
Factors Affecting ◽  
Measurement Models ◽  
Strategic Factors ◽  
Measurement Practices

Purpose – The purpose of this paper is to develop an effective synergy measurement model to support the decision-making process in mergers and acquisitions (M&A). Design/methodology/approach – Relevant literature is reviewed and critically assessed. An interpretive methodology is used to analyse empirical data from a questionnaire survey and interviews of M&A experts. A framework is provided with the objective to support the process of synergy measurement and the success of pre-deal planning. Findings – The authors find several mismatches in synergy measurement practices. The strategic factors, which are considered very relevant to generating reliable forecasts, are surprisingly not adequately quantified. On the contrary, a synergy measurement model may integrate the assessment of these factors: the type of synergy, the size of synergy, the timing of synergy and the likelihood of achievement. Practical implications – The paper offers interesting implications for firms, advisors and consultants, pointing out that synergy measurement issues are related to the analysis of strategic factors affecting synergy. These findings suggest that the pre-planning process should integrate people and tools from different backgrounds, from strategy to accounting, to effectively measure the synergy value. The authors also suggest the development of new tools in response to the needs of practitioners for best practices in M&A. Originality/value – This paper highlights that the effective use of synergy measurement models are critical to improve the success of M&A due diligence.

Determining the relationship between conflict factors and performance of international construction projects

2014 ◽  
Vol 21 (4) ◽  
pp. 369-382 ◽  
Author(s):  
Eyad Zouher Al-Sibaie ◽  
Ali Mohammed Alashwal ◽  
Hamzah Abdul-Rahman ◽  
Umi Kalsum Zolkafli
Keyword(s):  
Internal Control ◽  
Construction Projects ◽  
Project Performance ◽  
Project Managers ◽  
Path Modeling ◽  
Content Type ◽  
Team Members ◽  
International Construction ◽  
Two Factors ◽  
And Performance

Purpose – Conflict was recognized as a major cause of inefficiency and limited performance of construction projects. Factors pertaining to conflict in construction are vast; however, there have been less recognition of these factors in international construction projects. The purpose of this paper is to provide in-depth understanding of conflict in this context and analyze how it influences project performance. Design/methodology/approach – A questionnaire survey was used to collect data from 161 professionals working in Malaysian companies, which are undertaking construction projects overseas. Findings – Analyzing the data using factor analysis revealed six new factors of conflict: external, internal, control-related, knowledge-related, mismanagement, and social conflicts. Further analysis of the data using partial least squares-path modeling (PLS-PM) affirmed a significant relationship between project performance and two factors of conflict only: internal and social. The results also showed that conflict contributes to about 27 percent of the variance in project performance. Originality/value – This paper provided a clear picture for project managers and team members about specific aspects of conflict and how to mitigate them to attain better performance of international construction projects.

scholarly journals Hybrid Measurement Models for Technology-Enhanced Assessments Through mIRT-bayes

2017 ◽  
Vol 6 (3) ◽  
pp. 168 ◽  
Author(s):  
Kathleen Scalise
Keyword(s):  
Bayesian Networks ◽  
Latent Variable ◽  
Latent Variable Models ◽  
Measurement Model ◽  
Testing Time ◽  
Measurement Models ◽  
The Stability ◽  
Stability And Accuracy ◽  
Network Approaches ◽  
Latent Variable Methods

Technology-enhanced assessments (TEAs) are rapidly emerging in educational measurement. In contexts such as simulation and gaming, a common challenge is handling complex streams of information, for which new statistical innovations are needed that can provide high quality proficiency estimates for the psychometrics of complex TEAs. Often in educational assessments with formal measurement models, latent variable models such as item response theory (IRT) are used to generate proficiency estimates from evidence elicited. Such robust techniques have become a foundation of educational assessment, when models fit. Another less common approach to compile evidence is through Bayesian networks, which represent a set of random variables and their conditional dependencies via a directed acyclic graph. Network approaches can be much more flexibly designed for complex assessment tasks and are often preferred by task developers, for technology-enhanced settings. However, the Bayesian network-based statistical models often are difficult to validate and to gauge the stability and accuracy, since the models make assumptions regarding conditional dependencies that are difficult to test. Here a new measurement model family, mIRT-bayes, is proposed to gain advantages of both latent  variable models and network techniques combined through hybridization. Specifically, the technique described here embeds small Bayesian networks within an overarching multidimensional IRT model (mIRT), preserving the flexibility for task design while retaining the robust statistical properties of latent variable methods. Applied to simulation-based data from Harvard's Virtual Performance Assessments (VPA), the results of the new model show acceptable fit for the overarching mIRT model, along with reduction of the standard error of measurement through the embedded Bayesian networks, compared to use of mIRT alone. Overall for respondents, a finer grain-size of inference is made possible without additiona  testing time or scoring resources, showing potentially promise for this family of new hybrid models.

Consumer attitude towards green products: revisiting the profile of green consumers using segmentation approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooja Mehta ◽  
Harpreet Singh Chahal
Keyword(s):  
Cluster Analysis ◽  
Principal Component ◽  
Developed Countries ◽  
Survey Method ◽  
Consumer Attitude ◽  
Green Products ◽  
Consumer Market ◽  
Environmentally Conscious ◽  
Content Type ◽  
Green Consumers

PurposeOver the last few decades, there has been a substantial increase in environmentally conscious consumers' willingness to switch their preferences from mainstream products to green products. Hence, it becomes essential for academicians and marketers to understand the notion, attributes and a comprehensive profile of green consumers. Since consumer attitude towards green products is not widely studied in developing countries, the present study aims at exploring the profile of green consumers in India (Punjab State) based on the same in the Indian context.Design/methodology/approachThe study used the survey method, and a sample of 400 respondents was selected from the Punjab State of India. Initially, principal component analysis was employed to reduce the dimensions. Following this, cluster analysis was applied to segment consumer market in distinctive segments. Results of cluster analysis were validated with discriminant analysis and finally, differences amongst the segments of green and non-green consumers were examined to build on the profile of green consumers.FindingsThe study segmented the consumer market based on consumer attitude towards green products. Results of the study revealed four distinct segments. “Dynamic Green”, the largest cluster, presents truly green consumers who exhibit a positive attitude towards green products. Finally, the study highlighted the attitudinal profile of green and non-green consumers and differences amongst the segments were explained.Research limitations/implicationsSimilar study should be conducted in other developing/developed countries. Furthermore, cross-cultural studies can be undertaken to contrast consumer attitude towards green products. The study may also be extended to probe the connection between consumers' attitude and actual behaviour towards green products.Originality/valueThe study examined the role of consumer attitude towards green products in identifying the distinct segment of green consumers and determining different configurations of consumer characteristics to build on the profile of green consumers.

Rating hotel quality for corporate business travel departments

2016 ◽  
Vol 28 (12) ◽  
pp. 2842-2863 ◽  
Author(s):  
Andrea Guizzardi ◽  
Alice Monti ◽  
Ercolino Ranieri
Keyword(s):  
Latent Variable ◽  
Quality Measurement ◽  
Weighted Average ◽  
Measurement Model ◽  
Urban Context ◽  
Business Travel ◽  
Content Type ◽  
Business Travelers ◽  
Fine Grained ◽  
Corporate Travel

Purpose The present study aims to suggest a new approach to hotel quality rating, specifically designed for the business travel segment, where the evaluation of surveyed consumers (business travelers) does not necessarily reflect the priority of customers (corporate travel departments [CTDs]). Design/methodology/approach Preliminarily, the authors defined key areas (domains), exploring what was done by quality certifiers recognized worldwide. Then, each domain quality was considered as a latent variable measured by a set of observable attributes (sub-domains) surveyed by a professional assessor. A continuous, fine-grained, composite indicator (CI) for quality was finally obtained by a weighted average of the domain (latent) quality measures. Weights were endogenously determined by data envelopment analysis. Findings The suggested CI shows both the existence of large quality disparities within the same star rating and a relevant bias in the internet reviews. A “soundproofed” room, a front desk open 24 h with sufficient staff and an adequate urban context are necessary features of any business hotel. Research limitations/implications Data came from a professional assessor’s database; therefore, the authors could only consider a three-domains measurement model. The database is mainly composed of three- and four-star hotels in Italy; nonetheless, these accommodations are the most widespread in the Italian corporation hotel programs, preserving the practical utility of the results. Originality/value This study provides a transparent (replicable) evaluation protocol that is of potential use in the most popular models for quality measurement; any assessor can use it to underline its impartiality to CTD and assessed hotels.

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