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Article
Publication date: 7 December 2021

Shanshan Shang, Chenhui Du and Jilan Wu

Continuance usage of mobile applications (apps) has attracted much attention from scholars and enterprises, while the extant research mainly focuses on continuance intention. The…

610

Abstract

Purpose

Continuance usage of mobile applications (apps) has attracted much attention from scholars and enterprises, while the extant research mainly focuses on continuance intention. The inner effect mechanism of the characteristics of apps is still unclear. Under the tenet of continuance usage behaviour, through analysis of characteristics derived from online reviews, this paper aims to establish an effective model and discloses the commonalities and differences between two mainstream apps, which are entertainment and knowledge apps.

Design/methodology/approach

The authors collected reviews of TikTok and Zhihu, which are typical representatives of entertainment and knowledge apps, respectively, from 2018 to 2020. They then derive effect factors and establish the effect model using grounded theory. A deep comparison is then conducted. They analysed the similarities and differences in the general effect model, internal effect mechanism and detailed characteristics of the two types of apps.

Findings

Entertainment app and knowledge apps share the same general effect mechanism; that is, the effect chain of characteristics to perceived value then finally to continuance usage behaviour. However, obvious differences also exist in detailed and specific effects between the two apps.

Originality/value

The present research is among the first to have a deep analysis of the comparison of entertainment apps and knowledge apps under the context of continuance usage behaviour. The findings contribute to understanding continuance usage behaviours. Suggestions are proposed on how to promote apps, which may benefit app managers.

Details

The Electronic Library , vol. 40 no. 1/2
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 5 July 2022

Shanshan Shang and Chenhui Du

With the increasing popularity of online courses, their quality has become a public concern. Based on the perspective of knowledge management, this study aims to identify…

320

Abstract

Purpose

With the increasing popularity of online courses, their quality has become a public concern. Based on the perspective of knowledge management, this study aims to identify comprehensive and granular quality factors of online courses and analyze the relationships between the factors.

Design/methodology/approach

Following the principles of the grounded theory, interpretive structural modeling and cross-impact matrix multiplication applied to classification (MICMAC) analysis methods, this research uses reviews and comments garnered from Zhihu, which is the most popular online question-and-answer community in China, to conduct the analysis.

Findings

Based on the text data, 50 factors that potentially affect the quality of online courses are obtained. The analysis identifies the hierarchical relationships and dependent correlations between the factors.

Originality/value

The research uses the knowledge transformation model to classify content elements according to their degree of descriptiveness and provides practical and effective suggestions for improving the quality of online courses.

Details

Library Hi Tech, vol. 41 no. 6
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 1 October 2018

Yi Liu, Christopher Chan, Chenhui Zhao and Chao Liu

This study aims to empirically examine knowledge management practices in China with the purpose to provide a holistic view regarding the current status of knowledge management at…

2801

Abstract

Purpose

This study aims to empirically examine knowledge management practices in China with the purpose to provide a holistic view regarding the current status of knowledge management at both national and organizational levels.

Design/methodology/approach

Using a survey method, this study collected primary data from organizations across several regions in China. The data were analyzed to detect possible relationships among institutional force, organizational culture and knowledge management process in Chinese organizations. More specifically, to what extent are these relationships moderated by national culture?

Findings

While knowledge management practices in China were partly influenced by institutional forces, most of the predicted connections between organizational culture and knowledge management were supported. In addition, the dynamic nature of national culture is predominant, that pervasively influencing knowledge management processes and thus contextualization determines how knowledge is being managed in China. Indeed, the ideologies of relationships and trust are key vehicles for knowledge management in the Chinese organizations.

Practical implications

This study comprehensively reviews existing literature to form an integrative framework, which is under explored in a Chinese context. Such initiative helps scholars and practitioners to gain a full understanding of knowledge management, in general, in the Chinese business environment in particular.

Originality/value

This paper provides a detailed and empirical insight into the knowledge management practices in Chinese organizations and suggests that knowledge management in a distinctive and yet diverse cultural context should be considered with caution.

Details

Journal of Knowledge Management, vol. 23 no. 4
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 6 June 2023

Xuehui Hao, Changzheng Wang, Shuai Guo, Jie Ma, Hui Chen and Xingchuan Zhao

The poor corrosion resistance of the ferrite-pearlite steel limits its application in marine engineering because of the enhanced galvanic effect caused by continuously accumulated…

86

Abstract

Purpose

The poor corrosion resistance of the ferrite-pearlite steel limits its application in marine engineering because of the enhanced galvanic effect caused by continuously accumulated cementite. Cr as one principal alloying element is commonly used to improve the corrosion resistance of steels. This paper aims to study the effect of Cr on corrosion behaviors of ferrite-pearlite steels in an acidic environment.

Design/methodology/approach

The tested steels were immersed in a simulated solution of 10 Wt.% NaCl with pH 0.85 for 72 h to evaluate the corrosion rate. After the immersion test, the corrosion morphologies and products were tested by scanning electron microscopy, energy dispersive X-ray analysis and X-ray diffraction. Meanwhile, an electrochemical workstation was used to study the electrochemical behaviors of samples.

Findings

At the initial corrosion stage, the corrosion rate increased in the sequence of Cr0, Cr0.5 and Cr1 steels, which was because of the competitive effect between the area ratio and the driving force caused by alloyed Cr. However, Cr1 steel exhibited the best corrosion resistance after a 72-h immersion test. This was because the alloyed Cr promoted the formation of protective Fe2O3 and FeCr2O4, which suppressed the preferential dissolution of ferrite and, thus, reduced the accumulation rate of carbides, resulting in the weakened galvanic corrosion.

Originality/value

This paper reports the role that Cr plays in the galvanic corrosion of ferrite-pearlite steels, which is important for the engineering application of ferrite-pearlite steels in marine environment.

Details

Anti-Corrosion Methods and Materials, vol. 70 no. 4
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 14 February 2020

Nove E. Variant Anna and Endang Fitriyah Mannan

The purpose of this paper is to analyse the publication of big data in the library from Scopus database by looking at the writing time period of the papers, author's country, the…

1982

Abstract

Purpose

The purpose of this paper is to analyse the publication of big data in the library from Scopus database by looking at the writing time period of the papers, author's country, the most frequently occurring keywords, the article theme, the journal publisher and the group of keywords in the big data article. The methodology used in this study is a quantitative approach by extracting data from Scopus database publications with the keywords “big data” and “library” in May 2019. The collected data was analysed using Voxviewer software to show the keywords or terms. The results of the study stated that articles on big data have appeared since 2012 and are increasing in number every year. The big data authors are mostly from China and America. Keywords that often appear are based on the results of terminology visualization are including, “big data”, “libraries”, “library”, “data handling”, “data mining”, “university libraries”, “digital libraries”, “academic libraries”, “big data applications” and “data management”. It can be concluded that the number of publications related to big data in the library is still small; there are still many gaps that need to be researched on the topic. The results of the research can be used by libraries in using big data for the development of library innovation.

Design/methodology/approach

The Scopus database was accessed on 24 May 2019 by using the keyword “big data” and “library” in the search box. The authors only include papers, which title contain of big data in library. There were 74 papers, however, 1 article was dropped because of it not meeting the criteria (affiliation and abstract were not available). The papers consist of journal articles, conference papers, book chapters, editorial and review. Then the data were extracted into excel and analysed as follows (by the year, by the author/s’s country, by the theme and by the publisher). Following that the collected data were analysed using VOX viewer software to see the relationship between big data terminology and library, terminology clustering, keywords that often appear, countries that publish big data, number of big data authors, year of publication and name of journals that publish big data and library articles (Alagu and Thanuskodi, 2019).

Findings

It can be concluded that the implementation of big data in libraries is still in an early stage, it is shown from the limited number of practical implementation of big data analytics in library. Not many libraries that use big data to support innovation and services since there were lack of librarian skills of big data analytics. The library manager’s view of big data is still not necessary to do. It is suggested for academic libraries to start their adoption of big data analytics to support library services especially research data. To do so, librarians can enhance their skills and knowledge by following some training in big data analytics or research data management. The information technology infrastructure also needs to be upgraded since big data need big IT capacity. Finally, the big data management policy should be made to ensure the implementation goes well.

Originality/value

This paper discovers the adoption and implementation of big data in library, many papers talk big data in business and technology context. This is offering new idea for many libraries especially academic library about the adoption of big data to support their services. They can adopt the big data analytics technology and technique that suitable for their library.

Details

Library Hi Tech News, vol. 37 no. 4
Type: Research Article
ISSN: 0741-9058

Keywords

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Article
Publication date: 20 July 2021

Osama Bedair

Delays in projects execution due to improper structural design lead to substantial losses to the owners. Little guidelines are available in practice that deals with structural…

109

Abstract

Purpose

Delays in projects execution due to improper structural design lead to substantial losses to the owners. Little guidelines are available in practice that deals with structural design of Delayed Coker Units (DCUs). This work describes effective structural criteria for design of DCU used in hydrocarbon industry. Economical procedures are described for steel and concrete design. Design of pump houses supporting DCU is also described.

Design/methodology/approach

Numerical procedures are developed to model pipelines and mechanical equipment loadings. Soil restraints are simulated using horizontal and vertical springs along the pile embedded length. Concrete pile-caps are integrated with steel structure in the analysis model.

Findings

The proposed design approach is cost effective to use in practice. The paper offers economical footprint for design of DCUs that can be used for multiple projects.

Practical implications

The paper provides useful guidelines that can be utilized by engineers for design of coker heater and coker fractionation stacks, steel modules, coke pump house, deluge building, etc.

Originality/value

Currently, there are no guidelines in practice that deal with structural design of DCU. The present work bridges this gap and describes novel strategies that can be utilized for industrial projects.

Details

Multidiscipline Modeling in Materials and Structures, vol. 17 no. 5
Type: Research Article
ISSN: 1573-6105

Keywords

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