A Multi-Criteria Decision-Making Framework for Software Project Management Tool Selection

Akbar, Saeed; Ullah, Rahmat; Khan, Rizwan; Asghar, Ikram; Zubair, Muhammad; Zheng, Zhonglong

doi:10.1145/3605423.3605454

Cited by 2 publications

References 14 publications

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Determinants of Intention to Use Project Management Information System by Agile Project Teams in the Information Technology Industry in Sri Lanka: An Extension of the Classic Technology Acceptance Model

Ranasinghe,

Jayasinghe,

Peiris

2024

2024 4th International Conference on Advanced Research in Computing (ICARC)

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Effective project management is crucial for success in today's fast-paced information technology industry. Agile methodologies have gained prominence for adaptability, but managing multiple agile projects can be complex. Project management information systems offer a solution, yet their adoption remains limited, particularly in Sri Lanka. This research, guided by the technology acceptance model, aims to identify the determinants of intention to use project management information systems by agile project teams in the Sri Lankan information technology sector. The objectives are to identify the factors driving the intention to use project management information systems in agile project teams from the past literature and to shortlist and discuss the most relevant factors for the Sri Lankan context with academia and industry experts' opinions. The study highlights the crucial role of perceived usefulness, ease of use, social pressure, performance expectancy, and perceived self-efficacy in influencing the intention to use project management information systems. Despite the potential of project management information systems to enhance project management, limited interest in different project management information systems and technical expertise hinders their adoption in Sri Lanka. Addressing this issue is vital for improving project performance, collaboration, and overall effectiveness within the information technology industry. The research bridges the gap that hinders the literature about the user's intention to use project management information systems, based on the factors that determine the intention to use various information systems, ultimately supporting the successful integration of project management information systems into agile project management practices.

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Determinants of Intention to Use Project Management Information System by Agile Project Teams in the Information Technology Industry in Sri Lanka: An Extension of the Classic Technology Acceptance Model

Ranasinghe,

Jayasinghe,

Peiris

2024

2024 4th International Conference on Advanced Research in Computing (ICARC)

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The Impact of a Skill-Driven Model on Scrum Teams in Software Projects: A Catalyst for Digital Transformation

Haputhanthrige,

Asghar,

Saleem

et al. 2024

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Human skills are a critical factor in the success or failure of a digital project. Limited studies have been conducted to identify the industry demand for skills of scrum roles (product owner, scrum master, web developer) and levels (entry, associate, mid-senior). The evaluation of skills over time benefits both decision-makers and associated team members, which leads to successful project completions. The aim of this research is to improve decision making concerning the level-specific skills of selected scrum roles for digital projects. The study identifies major and minor skills, patterns, and relationships between levels, and formulates the mathematical equations as the most important inputs to the skill-driven model’s implementation and evaluation. Both qualitative and quantitative research methods were used to analyse 900 surveyed job advertisements published on LinkedIn in Europe. Descriptive analysis was used to analyse quantitative data while the deductive approach was followed with thematic analysis. There are required skill sets for each level of roles, level-specific skills, industry-demanded skills, and formulas related to the initial and individual skill ratings that are investigated. A new mechanism for evaluation is introduced based on “the time spent with skills”. As a result, the proposed model is implemented by feeding research findings into the Mendix programming platform. The skill-driven model is a decision-support solution in software project management to evaluate skills which assist in assigning the right person to the right digital project. Further investigation on different job portals can help to improve the accuracy of industry standards and reduce the lack of progression skills by overcoming limitations identified in this paper.

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A Multi-Criteria Decision-Making Framework for Software Project Management Tool Selection

Cited by 2 publications

References 14 publications

Determinants of Intention to Use Project Management Information System by Agile Project Teams in the Information Technology Industry in Sri Lanka: An Extension of the Classic Technology Acceptance Model

Determinants of Intention to Use Project Management Information System by Agile Project Teams in the Information Technology Industry in Sri Lanka: An Extension of the Classic Technology Acceptance Model

The Impact of a Skill-Driven Model on Scrum Teams in Software Projects: A Catalyst for Digital Transformation

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