Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level

Hong, Weiyin; Zhu, Kevin

doi:10.1016/j.im.2005.06.003

Cited by 306 publications

(195 citation statements)

References 36 publications

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“…The composite means of those three constructs show that technology readiness is the most important enabler in implementing web-based order processing technology followed by leadership, and systems integration. This finding confirms the study of Zhu et al (2003) and Hong and Zhu (2006), which indicated that the web functionalities, technology competence, and technology integration were significant facilitators in internet-based e-commerce implementation in European countries, and US and Canada.…”

Section: Motivation Enabling Factors and Difficulties/barriers In Isupporting

confidence: 91%

Adoption of web-based order-processing systems: experiences from tier-1 suppliers in the automotive supply chain

Adebanjo

Laosirihongthong

2013

Production Planning & Control

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According to Vigtil (2007), EDI is an enabler of Vendor Managed Inventory (VMI). This paper is focused on the use of VMI-based web ordering systems in Thailand, a developing economy, and based on the activities of the first tier suppliers of original equipment manufacturers (OEMs). The VMI systems used by the OEMs are based on the following process. The system will generate orders either on a monthly or weekly cycle depending on customer orders and inventory status. The generated orders are then translated into web-based purchase orders which the suppliers can access electronically. Based on the purchase orders, the suppliers are then required to print a standardized label including a barcode and attach to the products. The labels improve receipt accuracy and invoice management. The suppliers will then use the web-based system to inform the customers that the products have been shipped prior to physical arrival of the products.This type of web-based system, while commonly in use in developed economies, is not as common in developing economies such as Thailand. It is important therefore to understand how the supplier community has received and perceives such systems. From a Thai industry perspective, it is also important to understand the difficulties, if any, that implementation of such systems bring as well as understand factors that can enable effective implementation of such technologies. This issues have not been studied in a Thai automotive context and understanding the issues will be of significant benefit to other organizations in the automotive as well as other industries in Thailand that intend to deploy webbased VMI systems. Potentially, it could also hold lessons for organizations in other developing economies. Therefore, this study is based on the phenomenon of adoption of web-based ordering

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Section: Motivation Enabling Factors and Difficulties/barriers In Isupporting

confidence: 91%

Adoption of web-based order-processing systems: experiences from tier-1 suppliers in the automotive supply chain

Adebanjo

Laosirihongthong

2013

Production Planning & Control

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“…Cloud computing Eco-effectiveness Collaborative commerce (Chong et al, 2009); enterprise application (Gu et al, 2010;Henderson et al, 2012;Ramdani et al, 2013); electronic business (Alawneh et al, 2010;Eze, 2008;Oliveira and Martins, 2010); electronic commerce (Ekong et al, 2012;Ghobakhloo et al, 2011;Ghobakhloo and Tang, 2011;Hong and Zhu, 2006;Le et al, 2012;Li et al, 2010;, electronic data interchange (Kuan and Chau, 2001;Seyal et al, 2007); electronic procurement (Cui et al, 2008;Soares-Aguiar and Palma-Dos-Reis, 2008;Teo et al, 2009); enterprise resource planning (Pan and Jang, 2008); electronic supply chain management system (Lin, 2014); mobile business ;radio frequency identification (Paydar and Endut, 2013;Thiesse et al, 2011;Wang et al, 2010;. The literature on Green IT has discussed the stages of Green IT adoption.…”

Section: Eco-equitymentioning

confidence: 99%

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

Chong

Olesen

2017

AJIS

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In this research, we perform a meta-analysis to explain how organizations are deploying technologies to enforce organizational sustainability by meeting the goal of eco-effectiveness. Prior studies have studied the influences on the adoption of technologies using the TechnologyOrganisation-Environment (TOE) model that incorporate some aspects of technological, organizational or environmental factors. We collected prior research to test the factors of the TOE model to ascertain their relative impact and strength. Our meta-analysis found eight additional technological and organizational factors. We found strong support for IT infrastructure, perceived direct benefits, top management support, and competitive pressure. Moderate support for compatibility, technological readiness, perceived indirect benefits, knowledge (human resources), organizational size, attitudes towards innovation, learning culture, pressure from trade partners (industry characteristics) and regulatory support. Lastly, weak support was found for relative advantage, complexity, perceived risks and information learning culture. Only two dimensions, financial resources and environmental uncertainty failed to reach statistical significance.

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“…Ross et al [135] believe that IS staffs are the core features of a valuable human asset that frequently leads the solution to the business problems and addresses business opportunities through IT. Employee's skill has been identified crucial influencing the organizational adoption of IS within the context of innovation, particularly within the healthcare industry [46], [91], [136][137][138][139].…”

Section: Perceived Technical Competencementioning

confidence: 99%

“…This technique is mainly used for discovering the relationships among the factors or complex dependency issues among criteria for a problem under investigation [136]. The effect scale described earlier is used to register the degree of influence.…”

Section: Dematelmentioning

confidence: 99%

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

Esfahani

Ahmadi

Nilashi

et al. 2017

IJET

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Background: Hospital Information System (HIS) is implemented to provide high-quality patient care. The aim of this study is to identify significant dimensional factors that influence the hospital decision in adopting the HIS. Methods: This study designs the initial integrated model by taking the three main dimensions in adopting HIS technology. Accordingly, DEMATEL was utilized to test the strength of interdependencies among the dimensions and variables. Then ANP approach is adapted to determining how the factors are weighted and prioritized by professionals and main users working in the Iranian public hospitals, involved with the HIS system. Results: The results indicated that "Perceived Technical Competence" is a key factor in the Human dimension. The respondents also believed that "Relative Advantage," "Compatibility" and "Security Concern" of Technology dimension should be further assessed in relation to other factors. With respect to Organization dimension, "Top Management Support" and "Vendor Support" are considered more important than others. Conclusion: Applying the TOE and HOT-fit models as the pillar of our developed model with significant findings add to the growing literature on the factors associated with the adoption of HIS and also shed some light for managers of public hospitals in Iran to successfully adopt the HIS.

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Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level

Cited by 306 publications

References 36 publications

Adoption of web-based order-processing systems: experiences from tier-1 suppliers in the automotive supply chain

Adoption of web-based order-processing systems: experiences from tier-1 suppliers in the automotive supply chain

A Technology-Organization-Environment Perspective on Eco-effectiveness: A Meta-analysis

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

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