Structuration Model of Construction Management Professionals’ Use of Mobile Devices

Hasan, Abid; Ahn, Seung-Bum; Baroudi, Bassam; Rameezdeen, Raufdeen

doi:10.1061/(asce)me.1943-5479.0000930

Cited by 9 publications

(4 citation statements)

References 66 publications

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“…In particular, high challenge stressors (i.e. motivating CPs within tolerance) could improve CPs' positive sentiment for enhancing their ability to thrive at work (De Silva et al, 2017;Hasan et al, 2021). These findings show that the emotion displayed in the post originates from personal experience and is the emotional derivation of real events.…”

Section: The Relationships Between Wp With Cps' Emotionsmentioning

confidence: 83%

“…Due to the difference in promotion mechanism, work-related pressure polarized the effects of divergence emotions on decision-making (Hu et al, 2014). It has been proved that the decrease of stress beyond the threshold can help the CPs to change their work attitude to relaxed and comfortable, that is, the improvement of positive emotions (Hasan et al, 2021). Moreover, WP also plays a moderating role between working-life support and positive emotion, whereas time flexibility (i.e.…”

Section: The Relationships Between Wp With Cps' Emotionsmentioning

confidence: 99%

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Untangling the relationship between work pressure and emotions in social media: a quantitative empirical study of construction industry

Liang

2022

ECAM

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PurposeThe booming social media attracts construction professionals (CPs) to express emotions caused by work pressure (WP) through online behaviors. Previous works focus on the analysis of WP and emotions but do not adequately consider how WP can be reflected through online emotions. Thus, this study aims to attempt to explore the quantitative relationship between online emotional intensity and WP.Design/methodology/approachThis study developed a linguistic-sticker (LS) model to quantitatively evaluate the sentiment intensity of posts published on social media. Moreover, the authors designed two econometric models of ordinary least squares regression and negative binomial regression to test the hypothesis.FindingsThe research found that posts with stronger negative sentiment (or positive sentiment) indicate that CPs face higher (or lower) WP. Besides, there is a negative bias between the sentiment intensity of posts and the comment quantity.Practical implicationsThe positive correlation between sentiment intensity of posts and WP has been confirmed, which indicates that construction managers should pay more attention to CPs' behavior on social media, and take a more direct way to analyze work-related online behavior (e.g. posting, commenting). The dynamic monitoring of emotion-related posts also provides a direct basis for the management team to learn about CP's pressure status and propose measures to reduce their negative emotions. Furthermore, the emotional posts published by CPs on social media provide a direct basis for team managers to obtain their psychological state.Originality/valueThe research contributes to incorporating CPs' emotions into the LS model and to providing information systems artifacts and new findings on the analysis of WP and online emotions.

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Section: The Relationships Between Wp With Cps' Emotionsmentioning

confidence: 83%

Section: The Relationships Between Wp With Cps' Emotionsmentioning

confidence: 99%

Untangling the relationship between work pressure and emotions in social media: a quantitative empirical study of construction industry

Liang

2022

ECAM

View full text Add to dashboard Cite

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“…Nevertheless, few researchers attended to this problem or proposed acceptable explanations and solutions. Specifically, as pointed out by Hasan et al (2021), extant studies have neglected the interrelations between human, organization, and technology.…”

Section: Introductionmentioning

confidence: 99%

“…The authors aim at investigating how human, organization, and technology factors influence BIM adoption in construction project organizations (CPOs). Since the human, organization, and technology factors are highly impactful for technology adoption in CPOs (Hasan et al, 2021) and they should be rigorously evaluated in a joint manner (Yusof et al, 2008), this paper propose that the fit among the three dimensions (i.e., Human-Organization-Technology fit or HOT fit) as a new perspective to investigate the BIM adoption (Xu and Lu, 2020). Specifically, it will: (1) develop a holistic HOT fit model to collectively consider human, organization, and technology in BIM adoption; (2) investigate how related factors impact the HOT fit of BIM projects; and (3) provide strategic suggestions for CPOs to better harness the power of BIM.…”

Section: Introductionmentioning

confidence: 99%

Human-Organization-Technology Fit Model for BIM Adoption in Construction Project Organizations: Impact Factor Analysis Using SNA and Comparative Case Study

Xu¹,

Lu²,

Papadonikolaki

2022

J. Manage. Eng.

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The sluggish adoption of Building Information Modeling (BIM) is attributable to various technical, managerial, personnel, procedural, and institutional issues encountered by an organization within which such adoption takes place. However, these issues are under researched from a holistic perspective. Based on a proposed human-organization-technology fit (HOT fit) model, this paper aims to study the impacting factors of HOT fit in BIM adoption within construction project organizations (CPOs). It operationalized the HOT fit of 14 BIM case projects using social network analysis (SNA) methods and investigated how the different factors impact the HOT fit and its three sub-dimensions, i.e., Human-Technology (HT) fit, Organization-Technology (OT) fit, and Human-Organization (HO) fit using comparative case study. It is found that the project size has significantly negative relations with HOT fit, HT fit, and OT fit; while hierarchy steepness has positive correlations with HT fit, OT fit, and HO fit. OT fit is also found to have a weakly negative relationship with BIM level of details (LODs). A joint factor analysis further discloses that flatter the hierarchy, the larger the project size, and the higher the BIM LOD, the more difficult to achieve a high HOT fit, HT fit, or OT fit. Thus, CPOs should use steeper hierarchical structure and take a progressive BIM adoption strategy by adopting from smaller projects and/or lower LODs. This research empirically examined how project organizational and technological factors can impact BIM adoption. The HOT fit model can help CPOs evaluate their general HOT fit status, redesign optimal HOT configuration, diagnose the problems when the HOT fit is not ideal, and make strategic directions to better harvest the benefits of BIM. Limitations and future research directions are also identified.

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A Review on the Digitalization of On-Site Production Management—Case Study in a Portuguese Construction Company

Sousa

Gonçalves

Martins

2023

Digital Innovations in Architecture, Engineering and Construction

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Structuration Model of Construction Management Professionals’ Use of Mobile Devices

Cited by 9 publications

References 66 publications

Untangling the relationship between work pressure and emotions in social media: a quantitative empirical study of construction industry

Untangling the relationship between work pressure and emotions in social media: a quantitative empirical study of construction industry

Human-Organization-Technology Fit Model for BIM Adoption in Construction Project Organizations: Impact Factor Analysis Using SNA and Comparative Case Study

A Review on the Digitalization of On-Site Production Management—Case Study in a Portuguese Construction Company

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