Czynniki sukcesu zarządzania projektami usług IT

Zaleski, Szymon; Michalski, Rafał

doi:10.33141/po.2020.08.04

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…Likewise, the competencies and knowledge showed the same consistency with the research presented in [84]. In our preliminary study [55] we extracted six factors. Naturally, we found a number of similarities.…”

Section: Discussionsupporting

confidence: 66%

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Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis

Zaleski

Michalski

2021

Sustainability

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Management of successful IT projects in a sustainable manner is influenced by numerous factors. Organizational awareness of the necessity of engaging all project stakeholders is an important issue that helps in meeting project sustainable development goals. While there are many studies on the success factors of IT software projects, there is still little coherent research on the success factors of IT service projects. The purpose of this article is to contribute in filling this gap by attempting to identify success factors of the IT services project involving both traditional and agile approaches and considering sustainable development, specifically in terms of the stakeholders’ role in project management. We conducted questionnaire-based research involving 155 IT service project managers. The results of the study were subjected to exploratory factor analysis. As a result, we presented and thoroughly formally examined the factorial model of success components in the IT service industry. We distinguished four factors: (1) agile techniques and change management, (2) organization and people, (3) stakeholders and risk analysis, and (4) work environment. The results were compared with analogous studies found in the literature. The research showed that both traditional and agile management approaches coexist, meet sustainable development goals, and are significant for the successful management in IT service projects where all stakeholders play an important role.

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Section: Discussionsupporting

confidence: 66%

“…During the preparation phase the questionnaire tool was tested and reviewed in a preliminary study [55]. Fifteen IT project managers answered all questions of the survey.…”

Section: Questionnaire Developmentmentioning

confidence: 99%

Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis

Zaleski

Michalski

2021

Sustainability

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“…Involving employees in the decision-making process means that they automatically take more responsibility for the activities undertaken within the project and increase the sense of belonging to the team (Schermuly et al, 2013). However, the research of Zaleski & Michalski (2020) showed that there exist negative correlation between agile PMM and team (employees) engagement, which seems to contradict the benefits of empowerment theory. In this way, the choice of project management methodology may indirectly translate into how managers manage and motivate employees.…”

Section: The Relationship Between the Project Management Methodologie...mentioning

confidence: 95%

Untitled

2023

SPSUTOM

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This study aims to investigate the effects of working capital management on firm profitability of listed manufacturing companies in Malaysia. Design/methodology/approach: This study uses account payables, inventory turnover, account receivables, cash conversion cycle, firm size, growth, leverage and current ratio as accounting information variables. Secondary data was collected for all variables over a ten-year period, i.e. 2009 to 2018 and was obtained from the annual report published via Bursa Malaysia (Malaysian Stock Exchange) official website. Data was analyzed by using IBM SPSS Statistics Subscription software. Descriptive statistics, correlation analysis and multiple regression analysis were utilized in this study. Findings: The results revealed that inventory turnover in days, account receivables and firm size have a positive significant relationship with manufacturing firms' profitability, while account payables and cash conversion cycle have a positive insignificant relationship. Research limitations/implications:The sample size is too small for any generalization. A mixed method approach in the future could contribute to a holistic finding. Practical implications: Since these variables contained significant influence on firm profitability, it is recommended that listed manufacturing companies should prepare a complete and timely manner of accounting information based on the regulation context in Malaysia. Social implications: It provides an empirical evidence on the importance of working capital management amongst the manufacturing concerns in Malaysia and its impact on its business sustainability. Originality/value: This study contributes to the limited research on working capital management involving manufacturing companies in Malaysia.

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“…The first version of the survey was evaluated by subject matter experts in survey creation and project management to ensure correctness, structure, and logical consistency. In a preliminary study [30], the questionnaire was tested, and improvements were made according to the feedback from 15 IT project managers. The changes included reordering sections, adding a new section on success perception, extending a risk management question, and correcting minor grammatical and stylistic errors in 18 questions.…”

Section: Questionnaire Developmentmentioning

confidence: 99%

Success Factors in Management of IT Service Projects: Regression, Confirmatory Factor Analysis, and Structural Equation Models

Michalski,

Zaleski

2024

Information

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Although there have been some studies on the success factors for IT software projects, there is still a lack of coherent research on the success factors for IT service projects. Therefore, this study aimed to identify and understand the factors and their relationships that contribute to the success of IT service projects. For this purpose, multivariate regressions and structural equation models (SEMs) were developed and analyzed. The regression models included six project management success criteria used as dependent variables (quality of the delivered product, scope realization and requirements, timeliness of delivery, delivery within budget, customer satisfaction, and provider satisfaction) and four independent variables (agile techniques and change management, organization and people, stakeholders and risk analysis, work environment), which had been identified through exploratory factor analysis. The results showed that not all success factors were relevant to all success criteria, and there were differences in their importance. An additional series of exploratory and confirmatory factor analyses along with appropriate statistical measures were employed to evaluate the quality of these four factors. The SEM approach was based on five latent constructs with a total of twenty components. The study suggests that investing in improving people’s knowledge and skills, using agile methodologies, creating a supportive work environment, and involving stakeholders in regular risk analysis are important for project management success. The results also suggest that the success factors for IT service projects depend on both traditional and agile approaches. The study extensively compared its findings with similar research and discussed common issues and differences in both the model structures and methodologies applied. The investigation utilized mathematical methods and techniques that are not commonly applied in the field of project management success modeling. The comprehensive methodology that was applied may be helpful to other researchers who are interested in this topic.

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Czynniki sukcesu zarządzania projektami usług IT

Cited by 5 publications

References 16 publications

Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis

Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis

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Success Factors in Management of IT Service Projects: Regression, Confirmatory Factor Analysis, and Structural Equation Models

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