Factors That Influence Productivity: A Checklist

Wagner, Stefan; Murphy-Hill, Emerson

doi:10.1007/978-1-4842-4221-6_8

Cited by 18 publications

(17 citation statements)

References 15 publications

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“…However, the slow adoption of m-learning has been considered a technical issue rather than an educational problem [9]. Therefore, there is a need to identify key technical factors that could help motivate students to use mobile learning systems in their education [11].…”

Section: Problem Statementmentioning

confidence: 99%

For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool

et al. 2021

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Mobile devices have become an important tool in higher education. Although mobile devices have several benefits for students, the use of these devices is still very limited among students. This low percentage of usage could be attributed to several reasons, both technical and non-technical. Therefore, there is a need to conduct more research in order to understand the necessary factors that would lead to enhanced student usage, thus achieving sustainable mobile learning. In order to achieve that, our study proposes a model by employing the unified theory of acceptance and use of technology (UTAUT) to investigate the necessary factors that influence intention to use mobile learning among university students. To evaluate the proposed model, structural equation modelling (SEM) was employed to analyze data collected from 612 students. The results indicated that factors, such as device connectivity, device compatibility, device memory, device performance, network coverage, and network speed have a significant and positive influence on students’ intention to use mobile learning. This research provides important recommendations for university decision makers and developers on understanding the necessary factors for adopting mobile learning and reflect the students’ requirements.

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Section: Problem Statementmentioning

confidence: 99%

For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool

et al. 2021

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“…In our work, we identify factors that affect software development team productivity such as team culture factors, including communication, camaraderie, and team cohesion [6], [7]. We hypothesize these factors are at particular risk of being disrupted by this unexpected shift to WFH.…”

Section: Introductionmentioning

confidence: 99%

"How Was Your Weekend?" Software Development Teams Working From Home During COVID-19

Miller

Rodeghero

Storey

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

102

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The mass shift to working at home during the COVID-19 pandemic radically changed the way many software development teams collaborate and communicate. To investigate how team culture and team productivity may also have been affected, we conducted two surveys at a large software company. The first, an exploratory survey during the early months of the pandemic with 2,265 developer responses, revealed that many developers faced challenges reaching milestones and that their team productivity had changed. We also found through qualitative analysis that important team culture factors such as communication and social connection had been affected. For example, the simple phrase "How was your weekend?" had become a subtle way to show peer support.In our second survey, we conducted a quantitative analysis of the team cultural factors that emerged from our first survey to understand the prevalence of the reported changes. From 608 developer responses, we found that 74% of these respondents missed social interactions with colleagues and 51% reported a decrease in their communication ease with colleagues. We used data from the second survey to build a regression model to identify important team culture factors for modeling team productivity. We found that the ability to brainstorm with colleagues, difficulty communicating with colleagues, and satisfaction with interactions from social activities are important factors that are associated with how developers report their software development team's productivity. Our findings inform how managers and leaders in large software companies can support sustained team productivity during times of crisis and beyond.

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“…Regarding productivity, software engineering research showed remarkable interest in how to improve levels of productivity; contributing factors and their effects in software processes (Palvalin 2017, Wagner andMurphy-Hill 2019). In general, not specific to Covid-19 pandemic, productivity is perceived as a concept that is difficult to express by both researchers and experts (Sadowski et al 2019) for software development.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research explored factors effecting productivity of software professionals where several drivers of productivity are listed for knowledge workers such as physical environment, virtual environment, social environment and individual work practices (Palvalin 2017) and specifically for software professionals as well (Wagner and Murphy-Hill 2019). One of the factors is identified as uninterrupted time for the task (DeMarco and Lister 2013).…”

Section: Introductionmentioning

confidence: 99%

Home-Based Working During Covid-19 Pandemic: Experience of Turkish Software Professionals

Tokdemir

2021

Afyon Kocatepe University Journal of Sciences and Engineering

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This study explores the home-based working experience of software professionals during Covid-19 pandemic. Through an online survey, it examines the challenges of home based working in relation to characteristics of such work settings. Furthermore, it investigates the relation between home-based working characteristics and self-reported productivity via bivariate analysis. The results of this study show that it was mostly easy to adopt to the home-based new work setting while most of the software practitioners stated that they worked longer hours during the pandemic period. Housework and kids were reported as the two primary interruptions in home based setting. Additionally, afternoons and mornings were mentioned as the most productive work intervals for software professionals. Covid-19 Salgını Sırasında Evden Çalışma: Türk Yazılım Profesyonellerinin Deneyimleri Anahtar kelimelerYazılım uzmanları; Covid-19 pandemisi;Evden çalışma; Algılanan verimlilik ÖzBu çalışma, Covid-19 salgını sırasında yazılım profesyonellerinin evden çalışma deneyimlerini araştırmaktadır. Bir anket aracılığıyla, bu tür çalışma ortamlarının özellikleriyle ilişkili olarak evden çalışmanın zorlukları incelenmiştir. Ayrıca, iki değişkenli analiz yoluyla, ev tabanlı çalışma özellikleri ile üretkenlik arasındaki ilişki araştırılmıştır. Bu çalışmanın sonuçları, yazılım profesyonellerinin pandemi döneminde daha uzun saatler çalıştıklarını ve evden çalışma ortamına adapte olmanın çoğunlukla kolay olduğunu göstermektedir. Evden çalışma ortamlarında ev işleri ve çocukların en önemli kesinti nedeni olduğu bildirilmiştir. Ayrıca yazılım profesyonelleri için öğleden sonraları ve sabahların en verimli çalışma aralıkları olduğu belirtilmiştir.

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Factors That Influence Productivity: A Checklist

Cited by 18 publications

References 15 publications

For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool

For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool

"How Was Your Weekend?" Software Development Teams Working From Home During COVID-19

Home-Based Working During Covid-19 Pandemic: Experience of Turkish Software Professionals

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