A Structural Equation Model for the Evaluation of the Switching Costs of Information Communication Technology in SMEs

Most evaluation methods for purchasing newer and enticing information and communication technology (ICT) in organisations are based on financial models, or are premised on the presumption that the new ICT is not replacing an existing ICT. However, the availability and constant proliferation of more powerful and functional ICT in most organisations today means that the models may need to recognise already existing ICTs in use. There is therefore a need for such a tool that can assist decision makers, particularly in Small to Medium Enterprises (SMEs). Using the Information Systems Success Model as the base model, the study developed a conceptual framework using financial and non-financial models. Data collected from 222 SME owners using an online survey was analysed using Structural Equation Modelling (SEM). The key findings suggest that the psychological views of SME owners and the performance of the existing ICTs are important in the evaluation of existing ICTs. The study found that some features of the existing ICTs and SME surroundings do not matter, but the contentment of the SME owner with the existing ICTs does. This study is expected to assist SME owners with the creation of a handy tool to evaluate existing ICTs before considering newer enticing ICTs. The study recommends that SME owners should not base their decisions to continue using the existing ICTs on their personal experiences only. Future research, however, should consider other factors which may be relevant in the evaluation of existing ICTs.

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Knowledge Management System Success

Knowledge Management ◽

10.4018/978-1-59904-933-5.ch061 ◽

2011 ◽

pp. 729-747

Author(s):

Shih-Chen Liu ◽

Lorne Olfman ◽

Terry Ryan

Keyword(s):

Knowledge Management ◽

Theoretical Model ◽

Management System ◽

Structural Equation ◽

Equation Model ◽

Knowledge Management System ◽

Future Research ◽

Information Systems Success ◽

System Success ◽

Using Data

This article presents the empirical testing of a theoretical model of knowledge management system success. The Jennex and Olfman model of knowledge management system success was developed to reflect the DeLone and McLean model of information systems success in the knowledge management context. A structural equation model representing the Jennex and Olfman theoretical model is developed. Using data from a prior study aimed at knowledge management system use and individual learning, this model is tested. The overall fit of the model to the data is fair, although some interpretation of the estimated model parameters is problematic. The results of the model test provide limited support for the Jennex and Olfman theoretical model, but indicate the value of continued investigation and refinement of it. Suggestions for future research are provided.

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Towards adoption of information and communication technology in higher education - a structural equation model approach

International Journal of Learning Technology ◽

10.1504/ijlt.2021.115469 ◽

2021 ◽

Vol 16 (1) ◽

pp. 37

Author(s):

Rafiu Mope Isiaka ◽

Ronke Seyi Babatunde ◽

Kennedy Arebamen Eiriemiokhale ◽

Damilola David Popoola

Keyword(s):

Higher Education ◽

Structural Equation Model ◽

Information And Communication Technology ◽

Communication Technology ◽

Structural Equation ◽

Equation Model ◽

Information And Communication ◽

Model Approach ◽

Technology In Higher Education

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Towards a better understanding of intellectual capital in Mexican SMEs

Journal of Intellectual Capital ◽

10.1108/jic-08-2013-0092 ◽

2014 ◽

Vol 15 (2) ◽

pp. 316-332 ◽

Cited By ~ 19

Author(s):

Alain Daou ◽

Egide Karuranga ◽

Zhan Su

Keyword(s):

Intellectual Capital ◽

Structural Equation ◽

Online Survey ◽

Small And Medium Enterprises ◽

Equation Model ◽

Content Type ◽

Knowledge Based ◽

Knowledge Based Economy ◽

External Capital ◽

Medium Enterprises

Purpose – The purpose of this paper is to understand the characteristics of intellectual capital (IC) in Mexican small and medium enterprises (SMEs). Due to the shift from traditional factors of production to knowledge-based economy, an understanding of the role of IC has become crucial for SMEs to develop a competitive advantage. Design/methodology/approach – This study takes an in depth look at the three components of IC: human, organizational, and external capital. In order to do so, a quantitative study on 445 SMEs was conducted based on data collected through an online survey. A structural equation model is proposed that is a fit with the reality of Mexican SMEs. Regional differences are highlighted by means of multigroup analysis. Findings – The results suggest that the features of human and organizational capital are consistent with previous studies on SMEs in emerging economies. However, external capital shows some distinctive characteristics unique to Mexican context. Practical implications – Implications for managers and policymakers are discussed, whereby an adaptation of programs and policies are required to fit the Mexican context at the national and regional levels. Originality/value – To the best of the authors knowledge, this is the first study that observes the components of IC in Mexican SMEs.

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Entrepreneurship Orientation, Eco-innovation, Information and Communication Technology (ICT) Learning Adoption Capability: A case Study of Food SME’s in Central Java, Indonesia

E3S Web of Conferences ◽

10.1051/e3sconf/202122600046 ◽

2021 ◽

Vol 226 ◽

pp. 00046

Author(s):

Vincent Didiek Wiet Aryanto ◽

Kunio Kondo ◽

Yohan Wismantoro ◽

Pulung Nurtantyo Andono

Keyword(s):

Information And Communication Technology ◽

Communication Technology ◽

Structural Equation ◽

Small And Medium Enterprises ◽

Time Frame ◽

Food Industries ◽

Marketing Performance ◽

Central Java ◽

Information And Communication ◽

Medium Enterprises

This study aimed to investigate the entrepreneurship orientation among the Central Java’s food small and medium enterprises (SMEs) and its impact on their marketing performance, the business method through eco-innovation. This study also employed eco-innovation and Information and Communication Technology (ICT) learning adoption capability. The respondents of this study were withdrawn purposely from food industries located in Central Java. The location of the study was in Surakarta, Salatiga, Semarang and Kudus. The time frame of the study was from January 2019 to July 2019. The software of SEM version 23 (Structural Equation Modelling) was utilized to test the hypotheses. The findings revealed that all the hypotheses (entrepreneurship orientation, ecoinnovation and ICT learning adoption capability) have significant impact on marketing performance.

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Roadmaps for Future ICT Use in the Health Sector

Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care ◽

10.4018/978-1-4666-3990-4.ch035 ◽

2013 ◽

pp. 672-690 ◽

Cited By ~ 2

Author(s):

Maria Borges Tiago ◽

Flavio Tiago

Keyword(s):

Structural Equation ◽

Health Sector ◽

Integrated Approach ◽

Equation Model ◽

Future Research ◽

Framework Analysis ◽

Digital Era ◽

Information And Communication ◽

Is Integration ◽

And Performance

This chapter acts as both a review and an empirical framework analysis piece. It argues that technological acceptance and adoption by healthcare firms still suffers from oversimplification of its development, and specially, it measurement processes. There is a common thought both in business and academia that the technology adoption process is a key component of success and allows firms to achieve and sustain competitive advantages. In a digital era, these advantages arise from the potential of information and communication technology to improve firms’ daily activities. This research tries to reinforce the assessment of ICT impacts on healthcare firm performance, presenting a set of induced and intangible benefits besides the traditional financial benefits, as well as measuring IS integration impact. To do so, a structural equation model is applied to a large database sample covering firms from 17 European countries. The results reinforce the importance of induced and structural benefits in firms’ overall performance. It also found a positive relationship between IS integrated systems and performance. These results can be a starting point for a rethinking of the measurement models used in healthcare firms, and reinforce the argument stating that an IS integrated approach can provide better outcomes. Nevertheless, some questions remain unanswered regarding the impacts of ICT acceptance process on overall benefits, and therefore, future research will focus on this domain.

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Healthy 3.0

Data Analytics in Medicine ◽

10.4018/978-1-7998-1204-3.ch060 ◽

2020 ◽

pp. 1193-1221

Author(s):

Maria Teresa Borges Tiago ◽

Flávio Tiago ◽

Francisco Emanuel Batista Amaral ◽

Sandra Silva

Keyword(s):

Information And Communication Technologies ◽

Structural Equation ◽

Healthcare Providers ◽

Communication Technologies ◽

Equation Model ◽

Future Research ◽

Financial Benefits ◽

Starting Point ◽

Information And Communication ◽

Ict Tools

Over the past few years, healthcare practice has evolved to include new forms of information and communication technologies, and healthcare providers have begun to leverage IT solutions and the internet to reach consumers in transformative ways. There is a common thought both in business and academia that the technology adoption process is a key component of success and allows firms to achieve and sustain competitive advantages. Therefore, this research attempts to reinforce the assessment of ICT impacts on healthcare, analyzing it from two different perspectives: 1) firm performance, which is measured as a combination of induced and intangible benefits beyond the traditional financial benefits; and 2) healthcare providers' acceptance and adoption of ICT tools. To assess the first perspective, a structural equation model was applied to a large database sample covering firms from 17 European countries. The results reinforce the importance of induced and structural benefits in firms' overall performance. The second perspective was analyzed only for the Portuguese healthcare providers sample. These results can be a starting point for rethinking the healthcare models emphasizing the perspectives of Healthy 2.0 and considering that patients' technological pattern evolution will lead to Healthy 3.0 in the short term. Nevertheless, some questions remain unanswered regarding the impacts of the ICT acceptance process on overall benefits; therefore, future research will focus on this domain.

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Healthy 3.0

Reshaping Medical Practice and Care with Health Information Systems - Advances in Healthcare Information Systems and Administration ◽

10.4018/978-1-4666-9870-3.ch010 ◽

2016 ◽

pp. 287-322 ◽

Cited By ~ 4

Author(s):

Maria Teresa Borges Tiago ◽

Flávio Tiago ◽

Francisco Emanuel Batista Amaral ◽

Sandra Silva

Keyword(s):

Information And Communication Technologies ◽

Structural Equation ◽

Healthcare Providers ◽

Communication Technologies ◽

Equation Model ◽

Future Research ◽

Financial Benefits ◽

Starting Point ◽

Information And Communication ◽

Ict Tools

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Innovation, Entrepreneurship, and Sustainability for ICT Students Towards the Post-COVID-19 Era

Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era - Advances in Business Strategy and Competitive Advantage ◽

10.4018/978-1-7998-6776-0.ch006 ◽

2021 ◽

pp. 110-131

Author(s):

James K. Ngugi ◽

Leila Goosen

Keyword(s):

Structural Equation ◽

Course Design ◽

Equation Model ◽

Future Research ◽

Self Regulated Learning ◽

Knowledge Sharing Behavior ◽

Information And Communication ◽

Future Research Directions ◽

Design Characteristics ◽

Sharing Behavior

The purpose of the study reported on in this chapter was to develop a structural equation model (SEM) of the drivers of innovation for information and communication technology (ICT) students. Against a background of research on entrepreneurship and sustainability towards the post-COVID-19 era, factors had previously been identified, which promoted innovation among employees. A literature review, however, also revealed issues, controversies, problems, and challenges related to the effects of knowledge sharing behavior (KSB), self-regulated learning (SRL), and course design characteristics (CDCs) on developing innovative behavior (IB) among ICT students at universities. Solutions and recommendations are provided for managers involved at universities on leveraging attributes of KSB, SRL and CDCs to sustainably trigger innovation and entrepreneurship among ICT students towards the post-COVID-19 era. Future research directions are also considered. In conclusion, a discussion of the overall coverage of the chapter and concluding remarks are provided.

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Social Network Analysis as a Valuable Tool for Understanding Tourists’ Multi-Attraction Travel Behavioral Intention to Revisit and Recommend

Sustainability ◽

10.3390/su11092497 ◽

2019 ◽

Vol 11 (9) ◽

pp. 2497 ◽

Cited By ~ 5

Author(s):

Deukhee Park ◽

Gyehee Lee ◽

Woo Gon Kim ◽

Taegoo Terry Kim

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Travel Behavior ◽

Structural Equation ◽

Online Survey ◽

Equation Model ◽

Destination Image ◽

Future Research ◽

Tourist Satisfaction

In order to better understand tourists’ multi-attraction travel behavior, the present study developed a research model by combining the social network analysis technique with the structural equation model. The object of this study was to examine the structural relationships among destination image, tourists’ multi-attraction travel behavior patterns, tourists’ satisfaction, and their behavioral intentions. The data were gathered via an online survey using the China panel system. A total of 468 respondents who visited multiple attractions while in Seoul, Korea, were used for actual analysis. The results showed that all hypotheses are supported. Specifically, destination image was an important antecedent to multi-attraction travel behavior indicated by density and degree indices. In addition, the present study confirmed that density and degree centrality, the indicators of tourists’ multi-attraction travel behavior, were positively related to tourist satisfaction. The current study represented theoretical and practical implications and suggested avenues for future research.

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