Traditionally the construction industry in New Zealand and in other countries has seen a low productivity and a low track record for successful sustainable innovations. This has a negative impact on private and government spending, on quality and on health and environmental aspects. This research proposal posits that the construction industry needs disruptive (discontinuous, radical) technology innovations to be able to make drastic improvements. Such innovations often come from entrepreneurial small firms from outside the industry or at the beginning of supply chains and must be procured and adopted into such chains. This PhD proposal focuses on procurement activities of such firms in the New Zealand construction industry when they conduct disruptive waste-reducing innovations. These procurement activities must be aligned with (internal and external) innovation activities for an optimal firm performance. This performance is moderated by four clusters of internal and external variables.
In the last decade, directed from the European Union, entrepreneurship and entrepreneurship education became a main topic on both, political and strategic managerial agenda’s. Despite the enormous effort and money invested, the failure rate of starting entrepreneurs seems to be stable. Next to an increase of starting entrepreneurs, more young people are faced with the trauma of an entrepreneurial failure. This paper want to explore the causes of a negative entrepreneurial outcome an the possibilities to prevent from this.
MULTIFILE
Stevenson & Landström (2002) state that Opportunity, Ability and Motives predict entrepreneurship in general. Connecting thirty previous studies we test if the market awareness, endurance, planning and preparation as entrepreneurial ability factors, staff as opportunity factor and the reason for transfer as motive predicts three short term performance (needed transfer time, satisfaction and emotional attachment after transfer). We tested our hypotheses on a representative sample of 130 Dutch business owners who succeeded in a business transferring in 2005 and 2006. Market awareness predicts a faster transfer. Surprisingly more planning and preparation is the best predictor for a long transfer time as does the absence of the selling business owner. More or less forced transfers (illness, declining performance) predict lower satisfaction were as endurance predicts a higher satisfaction. This is valuable information for buyers, business brokers, accountants and bankers. The operationalisation of transfer performance seems vital. All main predictors, even the control variables, show only effect on either the needed transfer time (effectiveness measure) or satisfaction (experience measure). This confirms earlier findings (Van Teeffelen, 2007b). Our common challenge in future is to compare internationally the succeeded, non-succeeded transfer and exits.
