Mass Collaboration Project Recommendation Within Open-Innovation Design Networks

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Zachary Ball ◽  
Kemper Lewis
Keyword(s):  
Team Development ◽  
Collaboration Engineering ◽  
Mass Collaboration ◽  
Individual Project ◽  
Potential Applicability ◽  
Hybrid Recommender ◽  
Number Of Individuals ◽  
Engineering Projects ◽  
Collaboration Project

Mass collaboration within the design engineering process supports the inclusion of unique perspectives when working on complex problems. Increasing the number of individuals providing input and support into these perplexing challenges can increase innovation, decrease product development times, and provide solutions that truly encompass the needs of the market. One of the greatest challenges within mass collaboration engineering projects is the organization of individuals within these large design efforts. Understanding which projects would most effectively benefit from additional designers or contributors is paramount to supporting mass collaboration design networks. Within such networks, there exists a large number of contributors as well as a large pool of potential projects. Matching individuals with the projects that they can provide the greatest benefit to or building a team of individuals for newly developed projects requires the consideration of previous performance and an understanding of individual competencies and design abilities. This work presents a framework which recommends individual project placement based on individual abilities and the project requirements. With this work, a pool of individuals and potential projects are simulated, and the application of a hybrid recommender system is explored. To complement the simulation, an additional case study with empirical data is performed to study the potential applicability of the proposed framework. Overall, it was found that recommended team compositions greatly outperform the baseline team development, most notably as greater consideration is placed on collaborative recommendations.

Project Recommendation for Mass Collaboration Design Networks

2018 ◽  
Author(s):  
Zachary Ball ◽  
Kemper Lewis
Keyword(s):  
Team Development ◽  
Engineering Process ◽  
Collaboration Engineering ◽  
Mass Collaboration ◽  
Large Pool ◽  
Individual Project ◽  
Hybrid Recommender System ◽  
Hybrid Recommender ◽  
Number Of Individuals ◽  
Engineering Projects

Mass collaboration within the design engineering process supports the inclusion of unique perspectives when working on complex problems. Increasing the number of individuals providing input and support into these perplexing challenges can increase innovation, decrease product development times and provide solutions that truly encompass the needs of the market. One of the greatest challenges within mass collaboration engineering projects is the organization of individuals within these large design efforts. Understanding which projects would most effectively benefit from additional designers or contributors is paramount to supporting mass collaboration design networks. Within such networks, there exists a large number of contributors, as well as, a large pool of potential challenges. Matching individuals with the challenges that they can provide the greatest benefit to, or building a team of individuals for newly developed challenges requires the consideration of previous performance and an understanding of individual competencies and design abilities. This work presents a framework which recommends individual project placement based on individual abilities and the project requirements. With this work a pool of individuals and potential projects are simulated and the application of a hybrid recommender system is explored. Overall it was found that recommended team compositions greatly outperform the baseline team development, most notably as greater consideration is placed on collaborative recommendations.

scholarly journals Estimation of Damage Induced by Single-Hole Rock Blasting: A Review on Analytical, Numerical, and Experimental Solutions

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 29
Author(s):  
Mahdi Shadabfar ◽  
Cagri Gokdemir ◽  
Mingliang Zhou ◽  
Hadi Kordestani ◽  
Edmond V. Muho
Keyword(s):  
Structural Reliability ◽  
Numerical Models ◽  
Experimental Models ◽  
Rock Blasting ◽  
Discussion Section ◽  
Reliability Models ◽  
Fine Grain ◽  
Experimental Approaches ◽  
Engineering Projects

This paper presents a review of the existing models for the estimation of explosion-induced crushed and cracked zones. The control of these zones is of utmost importance in the rock explosion design, since it aims at optimizing the fragmentation and, as a result, minimizing the fine grain production and recovery cycle. Moreover, this optimization can reduce the damage beyond the set border and align the excavation plan with the geometric design. The models are categorized into three groups based on the approach, i.e., analytical, numerical, and experimental approaches, and for each group, the relevant studies are classified and presented in a comprehensive manner. More specifically, in the analytical methods, the assumptions and results are described and discussed in order to provide a useful reference to judge the applicability of each model. Considering the numerical models, all commonly-used algorithms along with the simulation details and the influential parameters are reported and discussed. Finally, considering the experimental models, the emphasis is given here on presenting the most practical and widely employed laboratory models. The empirical equations derived from the models and their applications are examined in detail. In the Discussion section, the most common methods are selected and used to estimate the damage size of 13 case study problems. The results are then utilized to compare the accuracy and applicability of each selected method. Furthermore, the probabilistic analysis of the explosion-induced failure is reviewed using several structural reliability models. The selection, classification, and discussion of the models presented in this paper can be used as a reference in real engineering projects.

Successful collaboration between smart city consortium and Hong Kong Government in Covid-19 dashboard: the case of leadership in practice

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Daniel Jung Yue Chun ◽  
Wahid Abdul Nabsiah ◽  
Cheng Ling Tan
Keyword(s):  
Hong Kong ◽  
Smart City ◽  
Third Party ◽  
City Development ◽  
Structured Interviews ◽  
Content Type ◽  
Non Profit ◽  
Mass Collaboration ◽  
The Government

Purpose This paper aims to discover why such a public partnership project had been successful with a non-profit third-party alliance such as a smart city consortium (SCC) promoting smart city development. Design/methodology/approach This descriptive case study is primarily based on analysing data collected from various texts, public statements, media interviews and three semi-structured interviews with key members involved in the Covid-19 dashboard project. Findings The data and analysis reviews that both interpersonal and interorganisational trust, dedication and proactiveness of the leaders at SCC were major contributing factors to why SCC was able to partner with the Hong Kong Government in the Covid-19 dashboard in the first place and that the success was also a direct outcome of effective mass collaborative knowledge management activities. Research limitations/implications The research in leadership attributes and activities in the non-profit alliance has been few and this collaborative partnership between the alliance and the government is an example of the importance of further research in smart city leadership. Practical implications In deploying projects for mass collaboration and knowledge sharing in smart city development (which is multi-disciplinary in nature). there are still many new and evolving organisational practices and leadership matters that many business leaders and city managers can learn from. Social implications Smart city development projects involve the notion of sharing data in an open environment enabled by software and mediating tools. Successful projects such as this Hong Kong Covid-19 dashboard which serves a diverse audience can further promote the importance of an open data policy regime for the benefit of the public. Originality/value This case study covers a highly original and unique case study with the leaders at the SCC and representatives from the Hong Kong Government.

A Case Study of the Effects of Design Project Length on Team Collaboration and Leadership in Senior Mechanical Engineering Projects

2017 ◽  
Author(s):  
James Righter ◽  
Andy Blanton ◽  
Hallie Stidham ◽  
Doug Chickarello ◽  
Joshua D. Summers
Keyword(s):  
Exploratory Research ◽  
Design Teams ◽  
Team Collaboration ◽  
Project Completion ◽  
Communication Structures ◽  
Senior Design ◽  
Design Projects ◽  
The Impact ◽  
Engineering Projects

This paper describes exploratory research regarding leadership and communication within undergraduate engineering design teams. The case study was performed on student design projects of one and two semester duration to begin to assess the impact of project length on leadership and communication within the design teams. Data was collected using a survey that was given to the participants in three capstone design projects in Clemson University’s senior design course. The survey was administered within one month of course and project completion. While there were differences in the communication and leadership patterns between the teams, there were other possible influences beyond the project length such as team size and organization, organizational and geographic distribution, and the nature of the product. As a result, further research is proposed to study leadership and communication structures within undergraduate teams and multi-team systems (MTS).

scholarly journals Incremental and radical open service innovation

2018 ◽  
Vol 32 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Per Myhren ◽  
Lars Witell ◽  
Anders Gustafsson ◽  
Heiko Gebauer
Keyword(s):  
Service Innovation ◽  
Group Development ◽  
Case Analysis ◽  
Team Development ◽  
Service Development ◽  
New Service Development ◽  
Content Type ◽  
Open Service ◽  
Cross Case Analysis

Purpose Open service innovation is an emergent new service development practice, where knowledge on how to organize development work is scarce. The purpose of the present research is to identify and describe relevant archetypes of open service innovation. The study views an archetype as an organizing template that includes the competence of participants, organizing co-creation among participants and ties between participants. In particular, the study’s interest lies in how open service innovation archetypes are used for incremental and radical service innovation. Design/methodology/approach For the research, a nested case study was performed, in which an industrial firm with nine open service innovation groups was identified. Forty-five interviews were conducted with participants. For each case, first a within-case analysis was performed, and how to perform open service innovation in practice was described. Then, a cross-case analysis identifying similarities and differences between the open service innovation groups was performed. On the basis of the cross-case analysis, three archetypes for open service innovation were identified. Findings The nested case study identified three archetypes for open service innovation: internal group development, satellite team development and rocket team development. This study shows that different archetypes are used for incremental and radical service innovation and that a firm can have multiple open service innovation groups using different archetypes. Practical implications This study provides suggestions on how firms can organize for open service innovation. The identified archetypes can guide managers to set up, develop or be part of open service innovation groups. Originality/value This paper uses open service innovation as a mid-range theory to extend existing research on new service development in networks or service ecosystems. In particular, it shows how open service innovation can be organized to develop both incremental and radical service innovations.

Causal ascription of rework in building and civil engineering projects

2014 ◽  
Vol 21 (1) ◽  
pp. 111-126 ◽  
Author(s):  
Palaneeswaran Ekambaram ◽  
Peter E.D. Love ◽  
Mohan M. Kumaraswamy ◽  
Thomas S.T. Ng
Keyword(s):  
Construction Projects ◽  
Civil Engineering ◽  
Small Data ◽  
Data Set ◽  
Content Type ◽  
Management Measures ◽  
Significant Difference ◽  
Quantitative Impact ◽  
Engineering Projects

Purpose – Rework is an endemic problem in construction projects and has been identified as being a significant factor contributing cost and schedule overruns. Causal ascription is necessary to obtain knowledge about the underlying nature of rework so that appropriate prevention mechanisms can be put in place. The paper aims to discuss these issues. Design/methodology/approach – Using a supervised questionnaire survey and case-study interviews, data from 112 building and engineering projects about the sources and causes of rework in projects were obtained. A multivariate exploration was conducted to examine the underlying relationships between rework variables. Findings – The analysis revealed that there was a significant difference between rework causes for building and civil engineering projects. The set of associations explored in the analyses will be useful to develop a generic causal model to examine the quantitative impact of rework on project performance so that appropriate prevention strategies can be identified and developed. Research limitations/implications – The limitations include: small data set (112 projects), which include 75 from building and 37 from civil engineering projects. Practical implications – Meaningful insights into the rework occurrences in construction projects will pave pathways for rational mitigation and effective management measures. Originality/value – To date there has been limited empirical research that has sought to determine the causal ascription of rework, particularly in Hong Kong.

scholarly journals Actually existing smart citizens: expertise and (non)participation in the making of the smart city

2018 ◽  
Author(s):  
Taylor Shelton ◽  
Thomas Lodato
Keyword(s):  
Smart City ◽  
Policy Making ◽  
Urban Governance ◽  
Smart Cities ◽  
Top Down ◽  
The World ◽  
Number Of Individuals

In response to the mounting criticism of emerging ‘smart cities’ strategies around the world, a number of individuals and institutions have attempted to pivot from discussions of smart cities towards a focus on ‘smart citizens’. While the smart citizen is most often seen as a kind of foil for those more stereotypically top-down, neoliberal, and repressive visions of the smart city that have been widely critiqued within the literature, this paper argues for an attention to the ‘actually existing smart citizen’, which plays a much messier and more ambivalent role in practice. This paper proposes the dual figures of ‘the general citizen’ and ‘the absent citizen’ as a heuristic for thinking about how the lines of inclusion and exclusion are drawn for citizens, both discursively and materially, in the actual making of the smart city. These figures are meant to highlight how the universal and unspecified figure of ‘the citizen’ is discursively deployed to justify smart city policies, while at the same time, actual citizens remain largely excluded from such decision and policy-making processes. Using a case study of Atlanta, Georgia and its ongoing smart cities initiatives, we argue that while the participation of citizens is crucial to any truly democratic mode of urban governance, the emerging discourse around the promise of smart citizenship fails to capture the realities of how citizens are actually discussed and enrolled in the making of these policies.

Living with ADHD

2016 ◽  
pp. 302-321
Author(s):  
Osnat O. Fellus ◽  
Daniel P. Fellus
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Western World ◽  
Hyperactivity Disorder ◽  
Short Overview ◽  
Teachers And Parents ◽  
Number Of Individuals

Attention Deficit Hyperactivity Disorder (ADHD) is a condition that is diagnosed in a constantly growing number of individuals in the Western world. This chapter provides a short overview of the shift in the conceptualization of ADHD drawing on the five Diagnostic and Statistical Manuals (DSMs). The authors argue that focusing on the concept of timing and understanding time in ADHD may allow teachers and parents to look beyond using pharmaceutics as the first course of treatment. The chapter concludes with a case study that showcases the experience of timing domains in ADHD.

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