Communication maturity model for organizations realizing EU projects

Muszyńska, Karolina

doi:10.1016/j.procs.2018.07.230

Cited by 12 publications

(10 citation statements)

References 13 publications

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“… Experts C16 Infrastructure In communication planning, the existing technology infrastructure should be available to facilitate the dissemination in project organizations. Appropriate infrastructure should be defined based on the level of project team dispersion ( Pheng, 2018 ; Muszyńska, 2018 ). ( Pheng, 2018 ), ( Pullin, 2010 ), and experts C17 Updating the plan As the plan is being implemented, effectiveness of the tactics should be continually evaluated and any appropriate revisions should be made ( Pheng, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

“…Communications management is a path to individual and organizational learning, as well as to building trust and shared work values ( Senge, 2006 ). Communications management is one of the most significant and complicated elements of project management, which is affected by a variety of factors including: cultural differences, trust, communication support tools, IT infrastructure, geographic distance, time interval, stakeholders, monitoring, measurement and analysis, planning, continuous improvement, models and policies, and curriculum ( Muszyńska, 2018 ). An effective communications management plan creates a culture of collaboration in a converging project team ( Livesey, 2016 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…If Di _ Rj < 0 and Di þ Rj ¼ S (S is a small number), i is a dependent factor and affected by other factors. (Pheng, 2018;Muszy nska, 2018).…”

Section: Infrastructurementioning

confidence: 99%

“…So far, many studies have been conducted on project success in which communications management is basically on top of the list. Though communication planning in project teams is one of the basic tasks of project managers, there are few studies on the accurate measurement of the communication process and its elements ( Dziekoński, 2017 ; Muszyńska, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran)

Shakeri

Khalilzadeh

2020

Heliyon

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One of the main factors in the success of projects is communications management and proper and timely distribution of information among all internal and external project stakeholders. Despite of emphasizing on the importance of project communications in the literature, there are few studies identifying factors influencing project communications. This research aims to address this shortcoming by identifying and determining sequences and relationships factors affecting project communications and their clustering. The informed communication strategy allows managers to structure the information flow in a better and more controlled manner and to avoid the costs caused by lack of effective and timely communication. The present study is conducted to help clarify the views of the organization's managers and project managers on project communications, and to identify factors affecting it and how they effectively communicate to successfully accomplish the projects. First a number of factors influencing project communications are identified on the basis of previous studies and interviews with experts and project managers working in oil, gas and power plant construction megaprojects in Iran. Then, these factors are analyzed by using the combination of fuzzy DEMATEL and Interpretive Structural Modeling (ISM) techniques. The relationships and sequence between the indicators are determined so that it can be effective in project communications planning and project success through providing an insight for senior managers and project managers.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

“…If Di _ Rj < 0 and Di þ Rj ¼ S (S is a small number), i is a dependent factor and affected by other factors. (Pheng, 2018;Muszy nska, 2018).…”

Section: Infrastructurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran)

Shakeri

Khalilzadeh

2020

Heliyon

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“…The space for socialization can be understood as any real everyday situation that activates mechanisms for the construction or transmission of knowledge. Knowledge sharing is influenced by organizational climate and management styles [41,[54][55][56][57][58].…”

Section: Variables Observed In the Modelmentioning

confidence: 99%

Analysis of Operational Communication Through Structural Equation Modeling

et al. 2020

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In this study a model was developed for analyzing communication on the shop floor using a Structural Equation Modeling with Partial Least Squares estimation (Partial Least Square, PLS). The model included as an exogenous variable (independent) Knowledge Management (KM), and four endogenous variables (dependent): Written Communication (WC), Oral Communication (OC), Man interaction with Information and Communication Technologies (M-ICT), and Operational Communication (OpC). The data for the exploratory study were collected in a land-based oil production region in the Northeast of Brazil. The data analysis was performed using the SmartPLS ® software. The structural model supported six of the nine hypotheses proposed, presenting statistical significance and predictive relevance. The evaluation of Pearson's determination coefficients (R 2) demonstrated a satisfactory degree of adjustment and adherence in explaining the variance of endogenous variables. The effect size (f 2) of the variance explained by the exogenous variable in the four endogenous variables was classified as "very strong", as shown: in WC f 2 = 0.802; OC f 2 = 0.825; M-ICT f 2 = 2,534; and OpC f 2 = 2.003. The model presented predictive validity, KM showed effect (q 2) classified as "very high" in the M-ICT and OpC. The effect (q 2) of KM on WC and OC presented predictive relevance between medium and high, with q 2 = 0.337 and q 2 = 0.267, respectively. The causal relationships between the observed variables and the percentage of participation of each indicator in its construct are contributions to the management of information about production.

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