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Article
Publication date: 7 October 2019

A direct topological reanalysis algorithm based on updating matrix triangular factorization

Ren Yang, Qi Song and Pu Chen

The purpose of this paper is to establish and implement a direct topological reanalysis algorithm for general successive structural modifications, based on the updating…

Open Access
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Abstract

Purpose

The purpose of this paper is to establish and implement a direct topological reanalysis algorithm for general successive structural modifications, based on the updating matrix triangular factorization (UMTF) method for non-topological modification proposed by Song et al. [Computers and Structures, 143(2014):60-72].

Design/methodology/approach

In this method, topological modifications are viewed as a union of symbolic and numerical change of structural matrices. The numerical part is dealt with UMTF by directly updating the matrix triangular factors. For symbolic change, an integral structure which consists of all potential nodes/elements is introduced to avoid side effects on the efficiency during successive modifications. Necessary pre- and post processing are also developed for memory-economic matrix manipulation.

Findings

The new reanalysis algorithm is applicable to successive general structural modifications for arbitrary modification amplitudes and locations. It explicitly updates the factor matrices of the modified structure and thus guarantees the accuracy as full direct analysis while greatly enhancing the efficiency.

Practical implications

Examples including evolutionary structural optimization and sequential construction analysis show the capability and efficiency of the algorithm.

Originality/value

This innovative paper makes direct topological reanalysis be applicable for successive structural modifications in many different areas.

Details

Engineering Computations, vol. 36 no. 8
Type: Research Article
DOI: https://doi.org/10.1108/EC-09-2018-0432
ISSN: 0264-4401

Keywords

  • Topological reanalysis
  • Updating matrix triangular factorization
  • Sparse direct solution
  • Graph partition

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Book part
Publication date: 18 July 2016

How Information Spreads in Online Social Networks

Christopher J. Quinn, Matthew J. Quinn, Alan D. Olinsky and John T. Quinn

Online social networks are increasingly important venues for businesses to promote their products and image. However, information propagation in online social networks is…

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Abstract

Online social networks are increasingly important venues for businesses to promote their products and image. However, information propagation in online social networks is significantly more complicated compared to traditional transmission media such as newspaper, radio, and television. In this chapter, we will discuss research on modeling and forecasting diffusion of virally marketed content in social networks. Important aspects include the content and its presentation, the network topology, and transmission dynamics. Theoretical models, algorithms, and case studies of viral marketing will be explored.

Details

Advances in Business and Management Forecasting
Type: Book
DOI: https://doi.org/10.1108/S1477-407020160000011012
ISBN: 978-1-78635-534-8

Keywords

  • Diffusion
  • social networks
  • graph models
  • centrality
  • communities
  • influence

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Article
Publication date: 27 August 2020

Investigating medical professionals' continuance intention of the cloud-based e-learning system: an extension of expectation–confirmation model with flow theory

Yung-Ming Cheng

The purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to…

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Abstract

Purpose

The purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.

Design/methodology/approach

Sample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.

Findings

Synthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.

Originality/value

Particularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
DOI: https://doi.org/10.1108/JEIM-12-2019-0401
ISSN: 1741-0398

Keywords

  • Cloud-based e-learning system
  • Continuance intention
  • Expectation–confirmation model
  • Flow theory
  • Human–organization–technology fit framework
  • Structural equation modeling

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Book part
Publication date: 30 May 2006

Keynesian Macrodynamics and the Phillips Curve: An Estimated Model for the U.S. Economy

Pu Chen, Carl Chiarella, Peter Flaschel and Willi Semmler

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Details

Quantitative and Empirical Analysis of Nonlinear Dynamic Macromodels
Type: Book
DOI: https://doi.org/10.1016/S0573-8555(05)77008-5
ISBN: 978-0-44452-122-4

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Article
Publication date: 4 March 2014

Exploring the intention to use mobile learning: the moderating role of personal innovativeness

Yung-Ming Cheng

The main purpose of this study was to combine the extended technology acceptance model (TAM) with the innovation diffusion theory (IDT) to examine how learners' beliefs…

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Abstract

Purpose

The main purpose of this study was to combine the extended technology acceptance model (TAM) with the innovation diffusion theory (IDT) to examine how learners' beliefs affected their usage intention of mobile learning (m-learning) and explore whether the relationships between learners' beliefs and their usage intention of m-learning changed under different levels of personal innovativeness regarding the new information technology (IT).

Design/methodology/approach

Sample data for this study were collected from Taiwanese mobile phone users, a total of 750 questionnaires were distributed, and 486 usable questionnaires were analyzed in this study, with a usable response rate of 64.80 per cent. Collected data were analyzed using structural equation modeling, multiple group analysis, and hierarchical moderated regression analysis.

Findings

Perceived usefulness (PU), perceived ease of use (PEOU), perceived enjoyment (PE), and compatibility can play essential roles in affecting learners' intention to use m-learning. Personal innovativeness can moderate the effects of PU, PEOU, and compatibility on intention to use m-learning except the effect of PE on intention to use m-learning.

Originality/value

Based on the views of the extended TAM with the IDT, this study incorporates intrinsic motivator (i.e. PE) along with conventional extrinsic motivators (i.e. PU and PEOU) into its analysis of m-learning acceptance for a more robust analysis and exhibits explicit results indicating that the effects of learners' beliefs on their usage intention of m-learning depend largely on their innovative predisposition regarding the new IT.

Details

Journal of Systems and Information Technology, vol. 16 no. 1
Type: Research Article
DOI: https://doi.org/10.1108/JSIT-05-2013-0012
ISSN: 1328-7265

Keywords

  • Intention to use
  • Personal innovativeness
  • Extended technology acceptance model
  • Innovation diffusion theory
  • Mobile learning

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Article
Publication date: 21 November 2016

Measurement of internal user satisfaction and acceptance of the e-justice system in Turkey

Ozlem Oktal, Ozlem Alpu and Berna Yazici

The purpose of this paper is to develop an evaluation model for National Judiciary Informatics System (NJIS), which is an e-justice system forming part of e-government…

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Abstract

Purpose

The purpose of this paper is to develop an evaluation model for National Judiciary Informatics System (NJIS), which is an e-justice system forming part of e-government, based on the models and the theories of information systems (ISs).

Design/methodology/approach

The survey was conducted on 8,840 internal users working for judicial services in Turkey. The success of the NJIS as an e-justice system is evaluated using structural equation modeling (SEM).

Findings

The results show that while the most important factor is the latent variable information quality in the SEM created to analyze the satisfaction of internal users using the NJIS, other factors include perceived usefulness (PU), system quality, and service quality, respectively. It is found that design quality has affected directly and positively the perceived ease of use (PEoU) while PEoU has affected the PU in the same manner.

Research limitations/implications

This study was solely concerned with internal users. Therefore, a more comparative study in which other users such as lawyers and ordinary citizens can be incorporated is suggested. Related to internal user satisfaction of the e-justice system, it is explored whether or not internal users are satisfied with their information processing needs, the system’s efficiency, the number of process steps, technical office services, and the system in general.

Originality/value

The research presents a new developed evaluation model of e-justice system from an internal user perspective. Most evaluation models focus on system-centered evaluation or organizational structure while user-centered evaluation concerning judicial ISs has not been explored yet.

Details

Aslib Journal of Information Management, vol. 68 no. 6
Type: Research Article
DOI: https://doi.org/10.1108/AJIM-04-2016-0048
ISSN: 2050-3806

Keywords

  • Structural equation modelling
  • Technology acceptance model
  • Information system
  • User satisfaction
  • User acceptance
  • e-Justice system

Content available
Article
Publication date: 10 June 2019

The influence of acceptance and adoption drivers on smart home usage

Marco Hubert, Markus Blut, Christian Brock, Ruby Wenjiao Zhang, Vincent Koch and René Riedl

This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a…

Open Access
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Abstract

Purpose

This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context.

Design/methodology/approach

The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling.

Findings

Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application.

Research limitations/implications

Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes.

Originality/value

This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.

Details

European Journal of Marketing, vol. 53 no. 6
Type: Research Article
DOI: https://doi.org/10.1108/EJM-12-2016-0794
ISSN: 0309-0566

Keywords

  • Technology acceptance model
  • Perceived risk
  • Innovation diffusion theory
  • Smart home application

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Article
Publication date: 9 April 2020

Impact of self-service technologies in retail banking on cross-buying and word-of-mouth

Kaushik Mukerjee

The purpose of this research is to study the influence of self-service technologies (SST) on cross-buying and word-of-mouth. This study tests the direct impact of…

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Abstract

Purpose

The purpose of this research is to study the influence of self-service technologies (SST) on cross-buying and word-of-mouth. This study tests the direct impact of perceived usefulness and perceived ease of use on cross-buying and word-of-mouth. Further, this study also tests the mediating role of e-service quality for the aforementioned relationships. The study has been undertaken in the context of retail banking in an emerging market, India.

Design/methodology/approach

A cross-sectional survey research design was used to collect data from 235 customers of retail banks in India. The data were analysed using IBM AMOS 23.0 taking structural equation modelling (SEM) approach to test the hypothesised relationships.

Findings

The findings of the study suggest that both perceived usefulness and perceived ease of use influence cross-buying and word-of-mouth. E-service quality partially mediates the relationship between perceived usefulness on cross-buying and word-of-mouth. E-service quality partially mediates the relationship between perceived ease of use and cross-buying but does not mediate the relationship between perceived ease of use and word-of-mouth.

Practical implications

This study shows that managers need to focus on perceived usefulness and perceived ease of use in order to ensure cross-buying and promote word-of-mouth recommendations by customers. Also, managers will be able to enhance cross-buying and promote word-of-mouth recommendations if e-service quality delivered by the bank is perceived to be good by customers.

Originality/value

This study contributes to the literature on SST and offers empirical evidence to show that perceived usefulness and perceived ease of use can influence cross-buying as well as word-of-mouth. Previous studies have shown that SST usage can foster loyalty, and the present study offers new evidence on the outcomes of behavioural loyalty. The study has been undertaken through responses taken from retail bank customers in an emerging market. This study also contributes to the literature on SST by testing the mediating effect of e-service quality for the above-mentioned relationships.

Details

International Journal of Retail & Distribution Management, vol. 48 no. 5
Type: Research Article
DOI: https://doi.org/10.1108/IJRDM-08-2019-0261
ISSN: 0959-0552

Keywords

  • Perceived usefulness
  • Perceived ease of use
  • Word-of-mouth
  • Cross buying
  • e-service quality
  • Banking
  • India

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Article
Publication date: 2 September 2019

Preparation and characterization of polyurethane–silica hybrid films

Junrui Zhang, Guojun Jiang, Tianhao Huang, Jun Xie and Da Shi

The paper aims to provide a facile approach to the synthesis of polyurethane–silica nanocomposites by introducing self-made aqueous silica sols with different particle…

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Abstract

Purpose

The paper aims to provide a facile approach to the synthesis of polyurethane–silica nanocomposites by introducing self-made aqueous silica sols with different particle sizes into polyurethane materials. This paper investigates the effects of the silica nanoparticles on the polyester polyol, as well as the physical properties and transmittance of the hybrid polyurethane coatings.

Design/methodology/approach

Colloidal silica particles of different sizes were obtained using a sol–gel process and were then embedded into polyester polyol by in-situ polymerization. These polyester polyol–silica resins were synthesized using an azeotrope process, using xylene to remove the water generated in the system and present in the dispersion medium for the colloidal silica. The polyester polyol–silica resins were further cured using isocyanate trimers to form polyurethane–silica hybrid films.

Findings

The paper observed that the viscosity of the polyester polyol–silica nanocomposite resins increased and their appearance changed from transparent to ivory white as the particle size of the added silica was increased. It was found that increasing the hydroxyl content of the silica improved the film transmittance in the visible light region. However, the transmittance decreased sharply once the diameter of the silica particles reached 100 nm.

Research limitations/implications

Because of the limitation of experimental conditions, some performances have not been tested. Therefore, researchers are encouraged to conduct further tests.

Practical implications

The paper provides a method of preparing hybrid polyurethane film by using silica; the results indicate that the introduction of nano-silica can improve the wear resistance and glass transition temperature of polyurethane coatings.

Originality/value

The results obtained in this study will be extremely useful to enhance the understanding of organic–inorganic hybrid materials.

Details

Pigment & Resin Technology, vol. 48 no. 5
Type: Research Article
DOI: https://doi.org/10.1108/PRT-03-2019-0029
ISSN: 0369-9420

Keywords

  • Nanocomposite
  • Hybrid films
  • Polyester polyol
  • Transparent

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Article
Publication date: 23 October 2019

Knowledge recommendation for workplace learning: a system design and evaluation perspective

Shuang Geng, Lijing Tan, Ben Niu, Yuanyue Feng and Li Chen

Although digitalization in the workplace is burgeoning, tools are needed to facilitate personalized learning in informal learning settings. Existing knowledge…

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Abstract

Purpose

Although digitalization in the workplace is burgeoning, tools are needed to facilitate personalized learning in informal learning settings. Existing knowledge recommendation techniques do not account for dynamic and task-oriented user preferences. The purpose of this paper is to propose a new design of a knowledge recommender system (RS) to fill this research gap and provide guidance for practitioners on how to enhance the effectiveness of workplace learning.

Design/methodology/approach

This study employs the design science research approach. A novel hybrid knowledge recommendation technique is proposed. An experiment was carried out in a case company to demonstrate the effectiveness of the proposed system design. Quantitative data were collected to investigate the influence of personalized knowledge service on users’ learning attitude.

Findings

The proposed personalized knowledge RS obtained satisfactory user feedback. The results also show that providing personalized knowledge service can positively influence users’ perceived usefulness of learning.

Practical implications

This research highlights the importance of providing digital support for workplace learners. The proposed new knowledge recommendation technique would be useful for practitioners and developers to harness information technology to facilitate workplace learning and effect organization learning strategies.

Originality/value

This study expands the scope of research on RS and workplace learning. This research also draws scholarly attention to the effective utilization of digital techniques, such as a RS, to support user decision making in the workplace.

Details

Internet Research, vol. 30 no. 1
Type: Research Article
DOI: https://doi.org/10.1108/INTR-07-2018-0336
ISSN: 1066-2243

Keywords

  • Workplace learning
  • System evaluation
  • Knowledge recommendation
  • Learning attitude

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