abstract
Literature on creativity and innovation has discussed the issue of failure in the light of its benefits and limitations for enhancing human potential in all domains of life, but in business, science, engineering, and industry more specifically. In this paper, the Intelligent Fast Failure (IFF) as a useful tool of creativity and innovation for maximizing personal and institutional productivity, relevance and value is reviewed. In particular, IFF is a useful teaching and learning tool for public and private educational contexts. IFF, a term coined by Jack V. Matson in late 1980s and early 1990s, demystifies the aversion from failure, encourages calculated and well-informed risk-taking and initiative, and whenever applied, either yields results that could benefit individuals, organizations and society at large or teaches lessons for future endeavors. IFF and some of its derivatives used by various authors and institutions are explored along with some examples of its applications, and its potential and limitations in the 21st century.
Keywords: Intelligent Fast Failure, Creativity, Innovation, Teaching and learning
ژورنال:Information & Management
سال:November 2015
قیمت اصلی:35.95$
Highlights•All six theoretical models have good explanatory power of behavioral intention (BI).
•Based on variance explanation, the motivational model (MM) and the technology acceptance model (TAM) have stronger explanatory powers.
•The theory of planned behavior (TPB) and the TAM have larger effect size compared to other theories.
•Perceived usefulness (PU), attitude (ATT), cloud service quality (CSQ), perceived behavior control (PBC), result demonstration (RD), visibility (VIS), and cloud self-efficacy (CSE) are important factors of a unified model.
AbstractCloud computing is an innovative information technology that has been applied to education and has facilitated the development of cloud computing classrooms; however, student behavioral intention (BI) toward cloud computing remains unclear. Most researchers have evaluated, integrated, or compared only few theories to examine user BI. In this study, we tested, compared, and unified six well-known theories, namely service quality (SQ), self-efficacy (SE), the motivational model (MM), the technology acceptance model (TAM), the theory of reasoned action or theory of planned behavior (TRA/TPB), and innovation diffusion theory (IDT), in the context of cloud computing classrooms. This empirical study was conducted using an online survey. The data collected from the samples (n = 478) were analyzed using structural equation modeling. We independently analyzed each theory, by formulating a united model. The analysis yielded three valuable findings. First, all six theoretical models and the united model exhibited adequate explanatory power. Second, variance explanation, Chi-squared statistics, effect size, and predictive relevance results revealed the ranking importance of the theoretical models. Third, the united model provided a comprehensive understanding of the factors that significantly affect the college students’ BI toward a cloud computing classroom. The discussions and implications of this study are critical for researchers and practitioners.
KeywordsCloud computing classroom, Innovation, Behavioral intention, Self efficacy (SE),Service quality (SQ), Innovation diffusion theory (IDT)
abstract
Literature on creativity and innovation has discussed the issue of failure in the light of its benefits and limitations for enhancing human potential in all domains of life, but in business, science, engineering, and industry more specifically. In this paper, the Intelligent Fast Failure (IFF) as a useful tool of creativity and innovation for maximizing personal and institutional productivity, relevance and value is reviewed. In particular, IFF is a useful teaching and learning tool for public and private educational contexts. IFF, a term coined by Jack V. Matson in late 1980s and early 1990s, demystifies the aversion from failure, encourages calculated and well-informed risk-taking and initiative, and whenever applied, either yields results that could benefit individuals, organizations and society at large or teaches lessons for future endeavors. IFF and some of its derivatives used by various authors and institutions are explored along with some examples of its applications, and its potential and limitations in the 21st century.
Keywords: Intelligent Fast Failure, Creativity, Innovation, Teaching and learning