Managing academic performance by optimal resource allocation

Grigoriev, Alexander; Mondrus, Olga

doi:10.1007/s11192-022-04342-5

Cited by 2 publications

(1 citation statement)

References 48 publications

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“…Effective collaboration [115]. Talent's individual performance [135], developer retention [136]. Teamwork effectiveness [116].…”

Section: Social and Human Factormentioning

confidence: 99%

Characterizing Social and Human Factors in Software Development Team Productivity: A System Dynamics Approach

Restrepo-Tamayo,

Gasca-Hurtado,

Valencia-Calvo

2024

IEEE Access

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Software development projects demand high levels of interaction between work team members. This way, management and decision-making must be supported by analyzing the complex dynamics generated through individual interactions to complete the projects. This complexity can be addressed using system dynamics. This modeling approach studies how the structures and relationships between variables in a system interact to generate behaviors over time. It is used to understand and analyze complex systems and make informed decisions. The first step in modeling is articulating the problem. This step defines the key variables that will be included in the model. Still, the lack of a standardized procedure to select, measure, and propose causal relationships is evident. Subjectivity is often appealed to, but this could lead to inaccurate models and biased results. The challenge intensifies when it comes to qualitative variables. This study introduces a formal methodology to characterize such variables, addressing a gap in the existing literature. The use of systematic mapping and a survey-based study is proposed. The methodology is applied to characterize three social and human factors that influence the productivity of software development teams: communication, leadership, and teamwork. The results captured primary experimental research's proven definitions, measurement mechanisms, and causal relationships. This formalized approach not only fills a significant gap in system dynamics but also lays a foundation for expanding its scope to encompass additional variables. As such, it represents a substantial methodological contribution to the field.

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“…Effective collaboration [115]. Talent's individual performance [135], developer retention [136]. Teamwork effectiveness [116].…”

Section: Social and Human Factormentioning

confidence: 99%

Characterizing Social and Human Factors in Software Development Team Productivity: A System Dynamics Approach

Restrepo-Tamayo,

Gasca-Hurtado,

Valencia-Calvo

2024

IEEE Access

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Gauging the Power of Perseverance and Extent of Unrealized Potential in One Intellectual Domain

Howard

2023

The American Journal of Psychology

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Human potential and its limits are of broad interest. One issue is whether high-level intellectual performance depends mainly on persistence and extensive practice, or whether genes set widely varying maximum performance levels. Another issue is whether, if genes do limit performance level, how much genetic potential still goes undeveloped in a given domain's participants who progress some way and then stop. International chess is a good test domain because it has objective performance measures, little gatekeeper influence, and abundant longitudinal, population-level data. Performance of 27,362 players entering the international chess domain between 1985 and 1999 was investigated in 6 studies. By June 2022, only about 3% had met the high achievement criterion of grandmaster status, taking a median 9.26 years and 472 internationally rated games to gain the title, far more games than the median all-participant career total of 130. About 67% of those playing over 1,500 games became grandmasters, and almost all grandmasters had achieved the title by 1,500 games. Then, for non-grandmaster participants playing at least 100 but less than 1,500 games, a mathematical model, which predicts future grandmaster performance reasonably well, estimated their unrealized potential. The model projected their learning curves out to over 1,500 games and predicted their peak rating if they actually had played over 1,500 games. By model predictions, perhaps only 10–15% might have achieved the title by persisting. These results show that persistence is important but not all-important because genes may limit maximum performance level. Players also may gauge accurately their ultimate performance prospects.

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Managing academic performance by optimal resource allocation

Cited by 2 publications

References 48 publications

Characterizing Social and Human Factors in Software Development Team Productivity: A System Dynamics Approach

Characterizing Social and Human Factors in Software Development Team Productivity: A System Dynamics Approach

Gauging the Power of Perseverance and Extent of Unrealized Potential in One Intellectual Domain

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