Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level
By Weiyin Hong, Kevin Zhu. Information Manager (The), 2006
420 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/514903a5559cff1ab52d20039ac208f49bc2c2c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tiago Oliveira
- Morteza Ghobakhloo
- Farzana Parveen Tajudeen
- Noor Ismawati Jaafar
- Ainin Sulaiman
- Maria F. O. Martins
- Chinyao Low
- Daniel Arias-Aranda
Citations in the corpus
- Determinants of the Adoption of Enterprise Resource Planning within the Technology-Organization-Environment Framework: Taiwan's Communications Industry (2008, unknown): “Moreover, sufficient financial resources help companies to acquire the necessary IT resources and achieve successful e-business implementation [16, 29, 45, 47].”
- Business-to-business adoption of eCommerce in China (2007, background): “In addition, developing countries often have different cultures and business philosophies, which limit the applicability and transferability of the eCommerce models designed by Western countries [25,35,53,54].”
- Understanding the determinants of cloud computing adoption (2011, background): “Relative advantage Tan et al. (2008), To and Ngai (2006), Wang et al. (2010) Complexity Tan et al. (2008), Wang et al. (2010) Compatibility Hong and Zhu (2006), Tan et al. (2008), To and Ngai (2006), Oliveira and Martins (2010), Wang et al. (2010) Organisation context Top management support Lee and…”
- Firms patterns of e-business adoption: evidence for the European Union-27. (2009, methodology): “Several authors (Hong and Zhu 2006, Iacovou et al. 1995, Kuan and Chau 2001, Lin and Lin 2008, Oliveira and Martins 2008, Pan and Jang 2008, Premkumar and Ramamurthy 1995, Thong 1999, Zhu et al. 2003, Zhu et al. 2006) used the TOE framework, developed by Tornatsky and Fleisher (1990), to analyse IT…”
- Understanding the impact of social media usage among organizations (2017, background): “Several prior studies found that more compatible technology is more likely to be adopted [42,43,17].”
- Understanding the Factors Affecting the Organizational Adoption of Big Data (2018, background): “Many studies have also found that firm size is an important factor affecting IT adoption (e.g., [10, 16, 36]) and this was therefore expected to also affect the perceived importance of big data.”
- Adoption of E-Commerce Applications in SMEs (2011, background): “…lack of internal trust, lack of enterprise-wide information sharing, intolerance towards failure, and incapability of dealing with rapid change Hong and Zhu (2006) Conceptual model drawn on technology diffusion theory Field survey using phone interview (n ¼ 1,036) US firms from various…”
- Understanding e-business adoption across industries in European countries (2010, background): “To provide a more balanced view of firms’ adoption and assimilation of e-business into the core business activities, the extent of e-business migration from traditional platform to the internet should also be examined, as suggested by Hong and Zhu (2006). Third, we did not include the government reg”
- A bibliometric review of the innovation adoption literature (2018, unknown): “In this respect, some refer to Tornatzky and Fleisher’s [100] Technology-Organization-Environment framework [145, 146].”
- The influence of board characteristics on sustainability reporting Empirical evidence from Sri Lankan firms (2014, methodology): “, 1995) and standard error of b coefficients of predictor variables in the full model was below 2 (Hong and Zhou, 2006). Additionally, a linear regression analysis was also performed to examine collinearity among variables as proposed by Menard (2002). VIF values of explanatory variables were below ”
- An empirical examination of factors influencing the intention to use mobile payment (2010, background): “Thus, the first individuals to adopt a new technology do so not only because they become aware of the innovation somehow sooner than their peers, but also because they require less time to move from a knowledge phase to a decision phase (Hong & Zhu, 2006).”