Development of Methods for the Strategic Management of Web Projects

Федушко, Соломія; Peráček, Tomáš; Syerov, Yuriy; Trach, Olha

doi:10.3390/su13020742

Cited by 22 publications

(13 citation statements)

References 18 publications

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“…On the other, reputation "persuasiveness" could be useful for coping with the typical free-riding and social-loafing dynamics of social virtual systems. Therefore, a wise use of identifiability features within virtual environments may help in effectively managing online interaction (e.g., Web Projects) [62] and to contrast some dysfunctional dynamics appearing in public information [63].…”

Section: Discussionmentioning

confidence: 99%

Reviewing Stranger on the Internet: The Role of Identifiability through “Reputation” in Online Decision Making

et al. 2021

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The stranger on the Internet effect has been studied in relation to self-disclosure. Nonetheless, quantitative evidence about how people mentally represent and perceive strangers online is still missing. Given the dynamic development of web technologies, quantifying how much strangers can be considered suitable for pro-social acts such as self-disclosure appears fundamental for a whole series of phenomena ranging from privacy protection to fake news spreading. Using a modified and online version of the Ultimatum Game (UG), we quantified the mental representation of the stranger on the Internet effect and tested if people modify their behaviors according to the interactors’ identifiability (i.e., reputation). A total of 444 adolescents took part in a 2 × 2 design experiment where reputation was set active or not for the two traditional UG tasks. We discovered that, when matched with strangers, people donate the same amount of money as if the other has a good reputation. Moreover, reputation significantly affected the donation size, the acceptance rate and the feedback decision making as well.

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Section: Discussionmentioning

confidence: 99%

Reviewing Stranger on the Internet: The Role of Identifiability through “Reputation” in Online Decision Making

et al. 2021

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“…This has resulted in the creation of an online extension of the physical world where friends and rivals can speak directly; street gangs have expanded their traditional means of communication (Goldman et al 2014) to adapt to this new reality. The impact of the shift from the physical to the virtual world, especially within the context of social media, can impact the psychological and social dynamics of communication, often requiring a real-world response (see, e.g., Fedushko et al 2021).…”

Section: Gang Violence On Social Mediamentioning

confidence: 99%

Social Media and the Variable Impact of Violence Reduction Interventions: Re-Examining Focused Deterrence in Philadelphia

Densley

Roman

2021

Social Sciences

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Focused deterrence is a gang violence reduction strategy that relies on a unique mix of strong enforcement messages from law enforcement and judicial officials coupled with the promise of additional services. At the heart of the intervention is a coordinated effort to communicate the costs and consequences of gun violence to identified gang members during face-to-face meetings and additional community messaging. In Philadelphia, focused deterrence was implemented between 2013 and 2016, and although an impact evaluation showed a significant decrease in shootings in targeted areas relative to matched comparison neighborhoods, the effect on targeted gangs was not universal, with some exhibiting no change or an increase in gun-related activity. Here, we employ data on group-level social media usage and content to examine the correlations with gun violence. We find that several factors, including the nature of social media activity by the gang (e.g., extent of activity and who is engaging), are associated with increases in the average rate of gang-attributable shootings during the evaluation period, while content-specific variables (e.g., direct threats towards rivals and law enforcement) were not associated with increases in shootings. Implications for violence reduction policy, including the implementation of focused deterrence, are discussed.

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“…There are few studies found in the literature that used Neuro-Fuzzy COCOMO, NN for cost estimation [36,37] and cost estimation for web projects [38,39]. Fig.…”

Section: Mmre ¼mentioning

confidence: 99%

An Artificial Neural Network-Based Model for Effective Software Development Effort Estimation

Rashid¹,

Kanwal²,

Nisar³

et al. 2023

Computer Systems Science and Engineering

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In project management, effective cost estimation is one of the most crucial activities to efficiently manage resources by predicting the required cost to fulfill a given task. However, finding the best estimation results in software development is challenging. Thus, accurate estimation of software development efforts is always a concern for many companies. In this paper, we proposed a novel software development effort estimation model based both on constructive cost model II (COCOMO II) and the artificial neural network (ANN). An artificial neural network enhances the COCOMO model, and the value of the baseline effort constant A is calibrated to use it in the proposed model equation. Three state-of-the-art publicly available datasets are used for experiments. The backpropagation feedforward procedure used a training set by iteratively processing and training a neural network. The proposed model is tested on the test set. The estimated effort is compared with the actual effort value. Experimental results show that the effort estimated by the proposed model is very close to the real effort, thus enhanced the reliability and improving the software effort estimation accuracy.

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Development of Methods for the Strategic Management of Web Projects

Cited by 22 publications

References 18 publications

Reviewing Stranger on the Internet: The Role of Identifiability through “Reputation” in Online Decision Making

Reviewing Stranger on the Internet: The Role of Identifiability through “Reputation” in Online Decision Making

Social Media and the Variable Impact of Violence Reduction Interventions: Re-Examining Focused Deterrence in Philadelphia

An Artificial Neural Network-Based Model for Effective Software Development Effort Estimation

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