
This study investigates factors associated with the adoption of corporate restructuring by hospitals in Massachusetts, where restructuring occurred much more rapidly than it did nationally. Drawing on studies of management innovation in hospitals, this article hypothesizes that early adopters will differ from those that adopt later on the basis of individual and organizational factors, and that institutional forces will explain later adoption. The findings show no differences between early and later adopters but do show that after an intense period of restructuring, hospitals became less likely to adopt the innovation. The article concludes with a discussion of the impact of reimbursement laws on the adoption pattern and the implications for the diffusion of management innovation, particularly under health care reform.
Models, Statistical, Data Collection, Organizational Innovation, United States, Massachusetts, Health Care Reform, Models, Organizational, Hospital Restructuring, Health Services Research, Hospitals, Voluntary, American Hospital Association
Models, Statistical, Data Collection, Organizational Innovation, United States, Massachusetts, Health Care Reform, Models, Organizational, Hospital Restructuring, Health Services Research, Hospitals, Voluntary, American Hospital Association
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
