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Understanding the milieu in which successful change decisions have been made in the past can help to prepare the way for future successful change efforts. The circumstances surrounding successful innovations or “conditions” presented are not intended to be a definitive list. Drawing from related research, we can identify clearly the primary conditions which greatly enhance the success of a specific innovation. The conditions can serve as a useful analytical tool for the educational leader who would like to see a specific innovation implemented in a school or district. Too often we have seen innovations introduced with little forethought, and too often, for the wrong reasons. The conditions can be utilized as significant predictors of future success.

The collective interaction of disaffected pupils is often described as a counter‐school subculture or as an informal organization within the school. This paper reports the findings of an Australian ethnography which indicate that such pupils are able not only to assert their own autonomy and to circumvent the institutional axis in which they operate, but are also able to influence what is perceived to be the formal structure of the school.

Consumer adoption of online shopping continues to increase each year. At the same time, online retailers face intense competition and few are profitable. This suggests that businesses and researchers still have much to learn regarding key antecedents of online shopping adoption and success. Based on extensive past research that has focused on the importance of various online shopping antecedents, this work seeks to provide an integrative, comprehensive nomological network.

The authors employ a mixed-methods approach to develop a comprehensive model of consumers online shopping behavior. To that end, in addition to a literature review, qualitative data are collected to identify a broad array of possible antecedents. Then, using a longitudinal survey, the model of consumer shopping intentions and behaviors is validated among 9,992 consumers.

The authors identified antecedents to online shopping related to culture, demographics, economics, technology and personal psychology. Our quantitative analysis showed that the main drivers of online shopping were congruence, impulse buying behavior, value consciousness, risk, local shopping, shopping enjoyment, and browsing enjoyment.

The validated model provides a rich explanation of the phenomenon of online shopping that integrates and extends prior work by incorporating new antecedents.