VODKA: Variant objects discovering knowledge acquisition

Tseng, Shian‐Shyong; Lin, Shun-Chieh

doi:10.1016/j.eswa.2007.12.055

Cited by 9 publications

(2 citation statements)

References 55 publications

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“…Recent studies also showed that RGT is particularly applicable for the study of the cognitive and emotional experience of digital consumers ( Kawaf and Istanbulluoglu, 2019 ). It is worth mentioning that some novel methods similar to RGT (such as Dynamic EMCUD and VODKA) have recently been developed to obtain dynamic knowledge that is constantly updated and evolving with environmental changes ( Lin et al, 2008 ; Tseng and Lin, 2009 ). Other methods, like ZMET, were used to resolve important problems in marketing practice by integrating RGT in the method ( Coulter et al, 2001 ).…”

Section: Methodsmentioning

confidence: 99%

The Triggering Mechanism of Short Video Customer Inspiration – Qualitative Analysis Based on the Repertory Grid Technique

et al. 2021

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It is believed that stimulating the inspiration of short video consumers might be an effective way to attract and maintain the attention of consumers so that they are willing to respond positively to short video ads. Therefore, in order to explore the source of customer inspiration in short video and its cognitive psychological process, the text and grid data collected from an interview among 25 short video users have been qualitatively analyzed by Kelly Grid Technology in order to construct the formation path model of short video customer inspiration, and find out its source, triggering mechanism, and influencing factors. It is found that the inspiring informational content characteristics include richness, reliability, vividness, and fluency of emotional content characteristics, fun, novelty, and narrative. However, the characteristics of commercial content in short video ads hinder the inspiration of consumers. The study also reveals that an internal mechanism of inspiration stimulation is built on some cognitive processes (i.e., presence, processing fluency, perceived innovation, perceived convenience) generated by informational content, and emotional responses by emotional content (i.e., curiosity, surprise, enjoyment, etc.). In addition, it is shown that personal involvement enhances the relationship between the inspiring content characteristics and consumer inspiration. As a result, customer inspiration and engagement in short video ads are highly enriched. Findings provide implications for short video platforms and online marketers.

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Section: Methodsmentioning

confidence: 99%

The Triggering Mechanism of Short Video Customer Inspiration – Qualitative Analysis Based on the Repertory Grid Technique

et al. 2021

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“…For experts to sense the occurrence of new variants and revise the original rule base, to collect sufficient relevant information becomes increasingly important in the knowledge acquisition field. Tseng and Lin (2009) proposed the method variant objects discovering knowledge acquisition that includes three stages i.e., log collecting stage, knowledge learning stage, and knowledge polishing stage to facilitate the acquisition of new inference rules for a classification knowledge based system. Yao et al (2007) examined the basic issues of knowledge retrieval system and a conceptual framework of such systems is proposed.…”

Section: Review Of Literaturementioning

confidence: 99%

Development of a tribological failure knowledge model

Panda

Mishra

2010

IJKEDM

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Many of the component failures occurring in service can be delayed by better incorporation of tribological principles into engineering design and maintenance. However, the concept of tribology has not yet penetrated successfully into the industry in general and there is an urgent need for the practical tribology design criteria and transference of tribological knowledge to the engineering designer and maintenance engineer. Knowledge based system offers great potential for effecting tribological knowledge transfer and promoting improved design practice and maintenance strategy. In this present work, the development and implementation of a tribological failure knowledge model (KM) for steam power plant equipment is reported. This failure KM assists the maintenance engineer and design engineer for evolution of an effective maintenance strategy and better, reliable, safe and productive design. The KM has been implemented using Protégé 3.0 Beta, JDK 1.4 and Java Swing Package. The model is applied to steam turbine failure in a power plant application.

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Decision Support for IPv6 Migration Planning

Tseng

Lin

et al. 2016

Advances in Intelligent Information Hiding and Multimedia Signal Processing

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VODKA: Variant objects discovering knowledge acquisition

Cited by 9 publications

References 55 publications

The Triggering Mechanism of Short Video Customer Inspiration – Qualitative Analysis Based on the Repertory Grid Technique

The Triggering Mechanism of Short Video Customer Inspiration – Qualitative Analysis Based on the Repertory Grid Technique

Development of a tribological failure knowledge model

Decision Support for IPv6 Migration Planning

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