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Article
Publication date: 12 November 2024

Yingnan Shi and Chao Ma

This study aims to enhance the effectiveness of knowledge markets and overall knowledge management (KM) practices within organisations. By addressing the challenge of internal…

Abstract

Purpose

This study aims to enhance the effectiveness of knowledge markets and overall knowledge management (KM) practices within organisations. By addressing the challenge of internal knowledge stickiness, it seeks to demonstrate how machine learning and AI approaches, specifically a text-based AI method for personality assessment and regression trees for behavioural analysis, can automate and personalise knowledge market incentivisation mechanisms.

Design/methodology/approach

The research employs a novel approach by integrating machine learning methodologies to overcome the limitations of traditional statistical methods. A natural language processing (NLP)-based AI tool is used to assess employees’ personalities, and regression tree analysis is applied to predict and categorise behavioural patterns in knowledge-sharing contexts. This approach is designed to capture the complex interplay between individual personality traits and environmental factors, which traditional methods often fail to adequately address.

Findings

Cognitive style was confirmed as a key predictor of knowledge-sharing, with extrinsic motivators outweighing intrinsic ones in market-based platforms. These findings underscore the significance of diverse combinations of environmental and individual factors in promoting knowledge sharing, offering key insights that can inform the automatic design of personalised interventions for community managers of such platforms.

Originality/value

This research stands out as it is the first to empirically explore the interaction between the individual and the environment in shaping actual knowledge-sharing behaviours, using advanced methodologies. The increased automation in the process extends the practical contribution of this study, enabling a more efficient, automated assessment process, and thus making critical theoretical and practical advancements in understanding and enhancing knowledge-sharing behaviours.

Article
Publication date: 1 April 2021

Yi Qu, Zhengkui Lin and Xiaonan Zhang

The purpose of this paper is to research the price strategies of online knowledge payment product by considering network externality in the C2C sharing economy.

Abstract

Purpose

The purpose of this paper is to research the price strategies of online knowledge payment product by considering network externality in the C2C sharing economy.

Design/methodology/approach

Considering the characteristics of online knowledge goods and the social network externality of consumers, this study establishes a consumer utility function. On this basis, a multistage game pricing model of online knowledge products is established based on three kinds of network price strategies under a completely competitive market structure. It also analyzes the influence of consumer social network structure and consumer utility on online knowledge product pricing and producer profit, as well as the influence of consumer quantity and discount rate on pricing strategy.

Findings

The consumer social network and consumer utility affect the pricing of online knowledge product under different price strategies. In the growth period of the platform, adopting the price discrimination strategy, the profit of producers is significantly higher than that of other price strategies, and producers should choose effective price strategies for reasonable pricing in combination with their own sales objectives.

Originality/value

This study enriches the literature on the pricing model of online knowledge payment product and owns a practical significance to guide the knowledge producers’ marketing strategies to increase profit.

Article
Publication date: 29 November 2022

Xinyan Lv, Yisheng Liang, Jiang Zhong and Haifeng He

The silicone modifications of two-component epoxy resin coatings are commonly built on epoxy resins rather than on epoxy curing agents. The silicone-modified epoxy curing agent…

Abstract

Purpose

The silicone modifications of two-component epoxy resin coatings are commonly built on epoxy resins rather than on epoxy curing agents. The silicone-modified epoxy curing agent system is rarely reported yet. This study aims to prepare the polysiloxane (PS)-modified waterborne epoxy coatings based on aqueous curing agents technology.

Design/methodology/approach

Waterborne epoxy curing agents with different contents of terminal epoxy PS were synthesized by reacting with triethylenetetramine, followed by incorporating of epoxy resin (NPEL-128) and polyethylene glycol diglycidyl ether. The waterborne epoxy coatings were prepared with the above curing agents, and their performance was investigated through thermogravimetric analysis, scanning electron microscopy, mechanical characterization, gloss measurement, chemical resistance test and ultraviolet (UV) aging experiment.

Findings

The results showed that the epoxy coating prepared by silicon-modified curing agent has higher gloss, better chemical resistance and UV resistance than the coating from unmodified curing agent with terminal epoxy PS and commercially available waterborne epoxy curing agent (Aradur 3986), as well as the competitive mechanical properties and heat resistance. Reduced water absorption on fibrous paper was also obtained with the help of silicon-modified curing agent.

Originality/value

These findings will be valuable for resin researchers in addressing the modification issues about waterborne epoxy resin and curing agent.

Details

Pigment & Resin Technology, vol. 53 no. 4
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 5 July 2024

Xin Chen and Yingxi Liu

In Chinese libraries, short video platforms have emerged as a channel for new media marketing. Thus, this study aims to explore libraries’ communication influence on China’s…

Abstract

Purpose

In Chinese libraries, short video platforms have emerged as a channel for new media marketing. Thus, this study aims to explore libraries’ communication influence on China’s largest short video platform, that is, Douyin (the Chinese version of Tiktok), and to provide corresponding suggestions for improvement of libraries’ communication influence in the short video platform.

Design/methodology/approach

Based on the Douyin Communication Index (DCI), this paper collects the top 200 library Douyin accounts of cultural reading in China and uses statistical and content analyses to evaluate the communication influence of library Douyin accounts.

Findings

Study findings show that libraries of various types and in various regions currently have an unbalanced development trend, with public libraries accounting for the vast majority and nearly half of the libraries located in China’s eastern region. Analysis of variance shows differences in the influence of Douyin communication among library types. Correlation analysis shows that indicators with a high correlation with DCI include the number of new works, likes, shares, and comments. In marketing content, the library’s high-impact short videos have characteristics of value, interest, and emotional touch.

Originality/value

This study uses a hybrid research method to explore Chinese libraries’ communication influence using the Douyin short video platform. Compared to other parts of the world, short videos in Chinese libraries have unique characteristics. They are rooted in China’s history and reality, showcasing the unique charm of Chinese library culture and serving as a unique reference for library marketing activities around the world.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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