An Agent Environment for Contextualizing Folksonomies in a Triadic Context

Author(s):  
Hong-Gee Kim ◽  
Suk-Hyung Hwang ◽  
Yu-Kyung Kang ◽  
Hak-Lae Kim ◽  
Hae-Sool Yang
Keyword(s):  
2000 ◽  
Vol 23 (1) ◽  
pp. 53-76
Author(s):  
Ann Galloway

Abstract This study investigated a range of formal, conversational and functional aspects of fathers’ and mothers’ speech to children aged 2;6-3;8 in two dyadic contexts (book reading and puzzle play), and one triadic context (family mealtime). Speech situation influenced the type of speech produced, and parents’ speech changed in a similar direction across contexts. Nevertheless, there were some differences found between parents across tasks. There was little difference between parents in respect of formal characteristics of speech, but differences were evidenced at the pragmatic level.


2017 ◽  
Vol 7 (3) ◽  
pp. 339-354 ◽  
Author(s):  
Walter Odongo ◽  
Manoj Kumar Dora ◽  
Adrienn Molnar ◽  
Duncan Ongeng ◽  
Xavier Gellynck

Purpose The purpose of this paper is to examine the role of power on supply chain performance (SCP) in the context of small and medium sized agribusiness enterprises (SMEs). Contrary to most of previous studies, which collect and analyze data from one side of a relationship dyad using a focal firm approach, a matched triad approach was employed in data collection and analysis. Design/methodology/approach Empirical data was collected from 150 agribusiness supply chain members from the maize supply chain in Uganda. Analysis was done using multi-group analysis and structural equations modeling. Findings Results highlight the differences in the perception of power use and how it influences SCP. The differences in perception suggest the existence of power asymmetry amongst supply chain members. This work contributes to the ongoing debate concerning the use of triad as a unit of analysis as opposed to a firm or a dyad. Research limitations/implications This study only focused on one commodity chain in one country, which can limit the broad application of the findings. Originality/value The novelty of this work lies in fact that the authors assess perception of power amongst supply chain members in a triadic context, a perspective that has not been adequately tested in agribusiness supply chain management studies before.


2019 ◽  
Vol 30 (2) ◽  
pp. 595-619 ◽  
Author(s):  
Graham Heaslip ◽  
Gyöngyi Kovács

Purpose The purpose of this paper is to explore service triads in humanitarian logistics (HL). The study uses agency theory to understand the dynamics between principal(s) and agent(s) and how contractual arrangements influence the service buyer–service provider alignment in humanitarian service triads. Design/methodology/approach This is a case study on a specific humanitarian service triad, with qualitative data being collected in a field study, utilising participant observation and in-context interview techniques for rich data collection. Findings The findings highlight the importance of both contractual and relational contracts between the service buyer, service provider and end customer – here donor (government), United Nations agency and implementing partner (IP). The alignment of the three parties in the service triad is more easily achieved through hybrid contracts rather than legal arrangements focussing on outcomes only. Research limitations/implications Results stem from a specific case study that constitutes a typical humanitarian service triad. An increased understanding of managing services and their service providers in the triadic context of outsourced service delivery adds to the body of knowledge in supply management. Originality/value This is the first examination of governance structures in contractual arrangements in a humanitarian service triad. The research fills the gap in humanitarian literature regarding the interaction of practitioners in HL, specifically, a service buyer organisation (a donor – government), a service provider (a UN agency) and the end customer (an IP). The research is field based and is grounded in empirical observations thus adding to the literature and offering insights to practice.


2018 ◽  
Vol 37 (1-2) ◽  
pp. 75-87
Author(s):  
Pedro Atã ◽  
João Queiroz

According to Peirce’s pragmatic semiotics, meaning (semiosis) is not an infused concept, but a power to engender interpretants. Semiosis is a triadic, context-sensitive (situated), interpreter-dependent (dialogic), materially extended (embodied and distributed) dynamic process. Although meaning is context-sensitive and materially extended, its locus is not well-captured by the notion of an environment. Inspired by biological concepts, we suggest the locus of meaning to be a niche. Here, we develop a semiotic account of musical meaning that emphasizes the location of musical signs in semiotic niches.


1999 ◽  
Vol 19 (56) ◽  
pp. 233-254 ◽  
Author(s):  
Hélène Tremblay-Leveau ◽  
Sophie Leclerc ◽  
Jacqueline Nadel

2000 ◽  
Vol 9 (4) ◽  
pp. 433-457 ◽  
Author(s):  
Alison L. Miller ◽  
Brenda L. Volling ◽  
Nancy L. McElwain

2015 ◽  
Vol 7 (3) ◽  
pp. 17-35 ◽  
Author(s):  
Sid Ali Selmane ◽  
Omar Boussaid ◽  
Fadila Bentayeb

This paper describes a new personalization process for decisional queries through a new approach based on triadic association rules mining. This process exploits the decision query log files of end users and follows these five steps: (1) generation of a triadic context from the multidimensional query logs of OLAP1 query analysis server; (2) mapping the triadic context into the dyadic one; (3) computation of (conventional) dyadic association rules; (4) generation of triadic association rules through a factorization process of dyadic ones and convey a richer semantics. The aim of the personalization approach which is based on triadic rules is to recommend new decision queries to OLAP end users sharing some common properties. This paper aims at helping this class of users by recommending them personalized OLAP queries that they might use in their future OLAP sessions. To validate the approach, the authors developed a software prototype called P-TRIAR (Personalization based on TRIadic Association Rules) which extracts two types of triadic association rules from decision query log files. The first type of triadic rules will serve to the recommending queries by taking the collaborative aspect of OLAP users into account. The second type of triadic rules will enrich user queries. Preliminary experiments were conducted on both real and synthetic datasets to assess the quality of the recommendations in term of precision and recall measures, as well as the performance of their on-line computation.


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