The Experts below are selected from a list of 40398 Experts worldwide ranked by ideXlab platform
Nachiappan Nagappan - One of the best experts on this subject based on the ideXlab platform.
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characterizing software engineering work with personas based on Knowledge Worker actions
Empirical Software Engineering and Measurement, 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
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ESEM - Characterizing software engineering work with personas based on Knowledge Worker actions
2017 ACM IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
Denae Ford - One of the best experts on this subject based on the ideXlab platform.
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characterizing software engineering work with personas based on Knowledge Worker actions
Empirical Software Engineering and Measurement, 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
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ESEM - Characterizing software engineering work with personas based on Knowledge Worker actions
2017 ACM IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
Christian Bird - One of the best experts on this subject based on the ideXlab platform.
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characterizing software engineering work with personas based on Knowledge Worker actions
Empirical Software Engineering and Measurement, 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
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ESEM - Characterizing software engineering work with personas based on Knowledge Worker actions
2017 ACM IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
Thomas Zimmermann - One of the best experts on this subject based on the ideXlab platform.
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characterizing software engineering work with personas based on Knowledge Worker actions
Empirical Software Engineering and Measurement, 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
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ESEM - Characterizing software engineering work with personas based on Knowledge Worker actions
2017 ACM IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2017Co-Authors: Denae Ford, Christian Bird, Thomas Zimmermann, Nachiappan NagappanAbstract:Mistaking versatility for universal skills, some companies tend to categorize all software engineers the same not knowing a difference exists. For example, a company may select one of many software engineers to complete a task, later finding that the engineer's skills and style do not match those needed to successfully complete that task. This can result in delayed task completion and demonstrates that a one-size fits all concept should not apply to how software engineers work. In order to gain a comprehensive understanding of different software engineers and their working styles we interviewed 21 participants and surveyed 868 software engineers at a large software company and asked them about their work in terms of Knowledge Worker actions. We identify how tasks, collaboration styles, and perspectives of autonomy can significantly effect different approaches to software engineering work. To characterize differences, we describe empirically informed personas on how they work. Our defined software engineering personas include those with focused debugging abilities, engineers with an active interest in learning, experienced advisors who serve as experts in their role, and more. Our study and results serve as a resource for building products, services, and tools around these software engineering personas.
Shehnaz Tehseen - One of the best experts on this subject based on the ideXlab platform.
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Knowledge management organizational commitment and Knowledge Worker performance
Business Process Management Journal, 2019Co-Authors: Shahid Razzaq, Muhammad Shujahat, Saddam Hussain, Faisal Nawaz, Murad Ali, Minhong Wang, Shehnaz TehseenAbstract:Knowledge management in the public sector is relatively an ignored avenue of research and practice that has recently been given attention. Knowledge management initiatives in the public sector are now not limited to the developed countries anymore. The public sectors of various developing countries including Pakistan have developed Knowledge management functions to address the problems of low organizational commitment (higher turnover rates) and Knowledge-Workers’ performance. Consequently, the purpose of this paper is to examine the mediation role of organizational commitment in the relationship between Knowledge management practices and Knowledge-Worker performance.,The data were gathered from 341 Knowledge Workers of the public sector health department of Punjab Province, Pakistan, where Knowledge management unit initiative has been taken. It was then analyzed using the structural equation modeling.,Organizational commitment partially mediates the relationship between Knowledge management practices and Knowledge-work performance.,The public sector policy makers are strongly advised to implement Knowledge management units and practices in order to enhance Knowledge-work performance as well as organizational commitment.,First, the model on the mediating role of organizational commitment has never been examined before. Second, the data collection from the public Health Department of Pakistan, a developing country, is relatively rare because the public sector Knowledge management studies have mostly been conducted in developed countries. Finally, this study extends the literature on Knowledge management in the public sector that is the developing theme in Knowledge management discipline while adding Knowledge management as a toolkit to enhance Knowledge-Workers’, organizational commitment and Knowledge-work performance.
