Two Make a Network: Using Graphs to Assess the Quality of Collaboration of Dyads

Chounta, Irene‐Angelica; Hecking, Tobias; Hoppe, H. Ulrich; Avouris, Nikolaos

doi:10.1007/978-3-319-10166-8_5

Cited by 11 publications

(10 citation statements)

References 20 publications

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“…Here, we use SNA as one potential way of realizing collaboration in learning as a process. SNA has been used extensively to analyze collaborative learning, especially to assess individual learner roles (Rabbany, Elatia, Takaffoli, & Zaïane, 2013), but also for assessing collaborative patterns (Chounta, Hecking, Hoppe, & Avouris, 2014) and with specific focus on temporality (Claros, Cobos, & Collazos, 2016). Most of these investigations are inductive in nature, as the conclusions are drawn from applying common SNA measures, rather than deduced from educational theories.…”

Section: Methodology: Calculating the Clap Evaluation Frameworkmentioning

confidence: 99%

Investigating Collaboration as a Process with Theory-driven Learning Analytics

Kent

Cukurova

2020

Learning Analytics

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Although collaboration is considered a key 21st-century skill, oftentimes it is only assessed through the outcome measures of individual learners. In this paper, we draw upon collaborative cognitive load theory (CCLT) to explain the process of collaboration in learning from the point of view of the collective, rather than an individual learner. Using CCLT we suggest a new method of measuring the process of collaboration regardless of its outcome measures. Our approach — Collaborative Learning as a Process (CLaP) — uses social network analysis to evaluate the balance between interactivity gains and coordination costs of learner communities. Here, we demonstrate the approach using real-world data derived from the digital tracks of two online discussion communities. We argue that our conceptual approach can enable instructors and learners to unlock the black box of collaboration in learning. It has the potential to support the development of learner skills that go beyond cognition. We conclude the paper with the results of our investigation of the value of the approach to the online module instructor.

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Section: Methodology: Calculating the Clap Evaluation Frameworkmentioning

confidence: 99%

Investigating Collaboration as a Process with Theory-driven Learning Analytics

Kent

Cukurova

2020

Learning Analytics

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“…Coordination may be defined as the perspectives of interactions among the supply chain partners to achieve the goals by accomplishing the tasks jointly (Gulati, Wohlgezogen, and Zhelyazkov 2012). It helps in minimising the potential ambiguity and future conflicts by structuring effective problem-solving processes (Chounta et al 2014). Centralised coordination may help in knowledge sharing, capacity enhancement, and information dissemination (Heimeriks and Schreiner 2002).…”

Section: Supply Chain Strategies To Reduce the Impact Of Covid-19 On Afsc (Hows)mentioning

confidence: 99%

Strategic framework for developing resilience in Agri-Food Supply Chains during COVID 19 pandemic

Kumar

2021

International Journal of Logistics Research and Applications

110

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The Agri-food Supply Chains (AFSC) dealing with perishable items have suffered a lot due to the COVID 19 pandemic. During this uncertain time, developing resiliency has become a priority for management. Therefore, the main purpose of the study is to explore the impact of COVID-19 on AFSC and the possible strategies for improving the resilience of the AFSC. Impacts on AFSC and possible strategies are explored through the literature review and experts' opinions. The importance rating of impacts of COVID-19 on AFSC is determined using the Best-Worst Method (BWM). These impacts are further correlated with the strategies for improving the resilience of AFSC using Quality Function Deployment (QFD). The findings of the study will help farmers, food processors, distributors, and retailers to maintain the uninterrupted flow of food items from farmers to end-users during the uncertain business environment. It will also contribute to formulating effective policies by the government and other stakeholders for improving the resilience of AFSCs.

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“…DEA is applied to examine the level of collaboration in the dyadic relationship as a contribution to improving the performance of supply chains (Janvier-James and Didier, 2011). The level of collaboration can also be assessed by using Graph Theory (Anbanandam et al , 2011; Chounta et al , 2014). Also, System Dynamic Modelling is applied to assess the impact of information sharing on collaboration in supply chain performance (Elkady et al , 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Collaboration quality assessment for sustainable supply chains: benchmarking

Dania¹,

Xing

Amer

2019

BIJ

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Purpose The purpose of this paper is to propose an instrument to evaluate the collaboration quality of sustainable supply chains by considering collaboration behaviour and sustainability factors. Design/methodology/approach The proposed model integrates Quality Function Deployment (QFD), Fuzzy Analytical Network Process (FANP) and Data Envelopment Analysis (DEA) to assess the efficiency score of each stakeholder involved. A case of a sugar company in Indonesia was analysed as the illustration of the application of the model. Findings The integrated QFD-FANP-DEA method enables to incorporate collaboration behaviour and sustainability factors in a single assessment model. The results of the case study showed the benchmarking results associated with the performance variance of stakeholders and the number of samples. Research limitations/implications Future research could consider other DEA approaches, extend the research by simulating a different number of scenarios and evaluating the improvement/deterioration, and expand the scope of collaboration. Practical implications Each stakeholder will be able to obtain the collaboration assessment results, and the improvements suggested by the model. Social implications Smallholders and farmers will be able to increase their benefits by using the existing resources. Originality/value This paper provides a methodological contribution by introducing new collaboration quality assessment methods that can accommodate any variance in multi-stakeholders, involve qualitative and quantitative measurements, and benefit all stakeholders.

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Two Make a Network: Using Graphs to Assess the Quality of Collaboration of Dyads

Cited by 11 publications

References 20 publications

Investigating Collaboration as a Process with Theory-driven Learning Analytics

Investigating Collaboration as a Process with Theory-driven Learning Analytics

Strategic framework for developing resilience in Agri-Food Supply Chains during COVID 19 pandemic

Collaboration quality assessment for sustainable supply chains: benchmarking

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