The Contingent Role of Innovation between IT Management Sophistication and Strategic Alignment

Abstract

ICT Challenge for eBusiness in SMEs

Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy

“…With synthesizing enabling factors and multiple examples of big data-driven innovations, there is also growing tension regarding the challenges associated with the exploitation of big data. These challenges stretch from the degree of an organization's data literacy to the extent of privacy and security regarding the usage of data (Bose, 2009;Leelien Ken, 2009;Smith & Shao, 2007). Challenges also apply in terms of stimulating the participation of other stakeholders in adopting and leveraging big-data-driven innovation (Hemerly, 2013).…”

The Impact of Employees’ Perceptions of Strategic Alignment on Sustainability: An Empirical Investigation of Korean Firms

“…The expansion of the eco-friendly product market indicates an increase in demand, while the increased threat of substitute products may reflect a decrease in demand. In addition, market uncertainty affects the organization's ability to align strategically [104][105][106]. Organizations with low market uncertainty show diagnostic information sharing between the organization and members or among members, whereas those with high uncertainty tend to show reciprocal information sharing [107].…”

Study on E-Commerce Adoption in SMEs Under the Institutional Perspective

“…Governmental support was also not regarded as a driving factor for e-commerce adoption in USA (Chong et al, 2009). It was also found insignificant in differing groups of firms between Internet adopters and non-adopters in Singapore (Teo et al, 2009), in affecting the success level of e-commerce among SMEs in IT industry of Taiwan (Huang, 2009), and in the probability of e-commerce adoption of SMEs in Brunei (AlGhamdi et al, 2012). Therefore, we propose: Hypothesis 1: Government support contributes significantly (and is positively related) to (a) initial adoption of e-commerce and (b) institutionalization in SMEs.…”

“…(3) They are also industrial knowledge characteristics (perception of e-commerce, skilled labor force, technicians, IT-oriented managers) that required for the development of e-commerce strategy, and (4) industrial knowledge sharing supporting infrastructure (all initiatives, actions, and plans available that develop knowledge and positive culture for e-commerce). Ismail & Kamat (2008); Zhu et al (2006); Huang (2009) the latent variables and its measure than error variance. Based on the output of confirmatory factor analysis (CFA) from Smart-PLS 2.0 M3, all items have loadings above 0.70.…”