Managerial learning and management development in New Zealand SMEs

Objectives: Managerial capability in New Zealand SMEs has been perceived by policy makers as a factor that has constrained SME growth and development (MED, 2008). The New Zealand Centre for SME Research (NZSMERC) has undertaken a programme of research on managerial capability in New Zealand SMEs. This paper reports findings from the Centre’s 2009 annual survey of 1500 SMEs, the BusinesSMEasure. The survey builds on a previous qualitative study and is part of a programme of research which had the following objectives: (1) to understand how SME owner-managers assess their development needs and how they meet these needs; (2) to assess the extent of participation in management development; and (3) to assess the perceived impact of management development on their business. Prior Work: Previous literature and research evidence with SME owner managers suggests a low take up of formal managerial development programmes and a reliance on incidental and informal managerial learning processes (Massey et al, 2005). NZSMERC’s previous qualitative study with 25 SME owner-managers (Battisti, et al, 2009), enabled the development of a conceptual framework and typology to explain orientation to learning and management development. Further, it allowed the identification of variables that affected attitudes to managerial learning and participation in management development. The survey has enabled the testing of some of the propositions from the qualitative stage, such as the importance of sources of managerial learning and the importance of variables that influence owner manager participation in management development. Approach: The 2009 BusinesSMEasure survey involved 4,165 firms (including 694 firms who responded in the 2007 and 743 firms who responded in 2008 survey). There were 1447 usable responses after excluding 297 ineligible and unreachable firms, which gave an overall response rate of 35%, Building on the previous qualitative study and utilising the adapted theoretical framework, we have applied non-parametric analysis to examine the significance of SME profile characteristics affecting against typologies of learning and management development. Exploratory factor analysis has been undertaken on the range of variables affecting managerial learning and development to reveal clusters of variables driving managerial learning and development. Hypotheses generated by literature and theory have been tested and regression modelling completed. Results: Survey findings suggest incidental and informal managerial learning processes were predominant modes of owner-manager learning. These types of learning were associated with practice-based and proximal sources of learning, as opposed to more distal sources. Significant variables that affected the type and sources of SME managerial learning were gender, age, learning orientation and a belief of self improvement. There was a strong link between innovation and engagement in management development. Firms with at least one type of innovation activity reported to be more engaged in management development across all three types of learning i.e. incidental, informal and formal. Theoretical developments in the literature are used to provide the basis for testing hypotheses associated with learning orientation and belief in self improvement Implications: The research undertaken by the Centre was driven by a policy imperative: to investigate the causes of an underlying trend in New Zealand SMEs which suggested that there was a lack of managerial capability in SMEs and a failure of SMEs to engage with formal management development initiatives. Having revealed the drivers of managerial development and sources of learning we develop implications for supply side management development programmes and policy interventions

Recent trends, technical concepts and components of computer-assisted orthopedic surgery systems: A comprehensive review

Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation systems and surgical tools. This paper brings a comprehensive review of recent trends and possibilities of CAOS systems. There are three types of the surgical planning systems, including: systems based on the volumetric images (computer tomography (CT), magnetic resonance imaging (MRI) or ultrasound images), further systems utilize either 2D or 3D fluoroscopic images, and the last one utilizes the kinetic information about the joints and morphological information about the target bones. This complex review is focused on three fundamental aspects of CAOS systems: their essential components, types of CAOS systems, and mechanical tools used in CAOS systems. In this review, we also outline the possibilities for using ultrasound computer-assisted orthopedic surgery (UCAOS) systems as an alternative to conventionally used CAOS systems.Web of Science1923art. no. 519

Informed consent in refractive surgery: in-person vs telemedicine approach.

Purpose:The aim of this study was to compare the quality of consent process in refractive surgery between patients who had a preoperative consent discussion with the surgeon using a telemedicine approach and those who had a face-to-face discussion. Methods:Patients treated between January and December 2017 (8,184 laser vision correction [LVC] and 3,754 refractive lens exchange [RLE] patients) that attended day 1 and 1-month postoperative visit were retrospectively reviewed. Preoperative consent preparation included a consultation with an optometrist, observation of an educational video, and written information. Patients then selected either a face-to-face appointment with their surgeon (in-clinic group) or a telemedicine appointment (remote group) for their consent discussion, according to their preference. Patient experience questionnaire and clinical data were included in a multivariate model to explore factors associated with consent quality. Results:Prior to surgery, 80.1% of LVC and 47.9% of RLE patients selected remote consent. Of all LVC patients, 97.5% of in-clinic and 98.3% of remote patients responded that they were adequately consented for surgery (P=0.04). Similar percentages in the RLE group were 97.6% for in-clinic and 97.9% for remote patients (P=0.47). In a multivariate model, the major predictor of patient's satisfaction with the consent process was postoperative satisfaction with visual acuity, responsible for 80.4% of variance explained by the model. Other significant contributors were postoperative visual phenomena and dry eyes, difficulty with night driving, close-up and distance vision, postoperative uncorrected distance visual acuity, change in corrected distance visual acuity, and satisfaction with the surgeon's approach. The type of consent (remote or in-clinic) had no impact on patient's perception of consent quality in the regression model. Conclusion:The majority of patients opted for telemedicine-assisted consent. Those who chose it were equally satisfied as those who had a face-to-face meeting with their surgeon. Dissatisfaction with surgical outcome was the major factor affecting patient's perception of consent quality, regardless of the method of their consent

Mathematical Optimization and Algorithms for Offshore Wind Farm Design: An Overview

Wind energy is a fast evolving field that has attracted a lot of attention and investments in the last dec- ades. Being an increasingly competitive market, it is very important to minimize establishment costs and increase production profits already at the design phase of new wind parks. This paper is based on many years of collaboration with Vattenfall, a leading wind energy developer and wind power operator, and aims at giving an overview of the experience of using Mathematical Optimization in the field. The paper illustrates some of the practical needs defined by energy companies, showing how optimization can help the designers to increase production and reduce costs in the design of offshore parks. In particular, the study gives an overview of the individual phases of designing an offshore windfarm,andsomeoftheoptimizationproblemsinvolved. Finally it goes in depth with three of the most important optimization tasks: turbine location, electrical cable routing and foundation optimization. The paper is concluded with a discussion of future challenges

Assessing fire frequency and structural fire behaviour of England statistics according to BS PD 7974-7

Contemporary structural fire statistics are fundamental in engineering design practice to evaluate likelihood and consequence of fire for different property types, and to investigate how different safety measures impact fire spread. British Standard PD 7974-7:2003 has recently been updated using USA fire statistics; this paper compares PD 7974-7:2003 to current England statistics (named UK statistics) using one public and one Home Office dataset. PD 7974-7:2003 overestimates fire frequency with values up to 5 times greater than the ones found in UK and USA. When fire frequency is plotted against total floor space, for different property types, power laws with positive or negative exponent and polynomial functions provide better approximations of the data than the current codes. Average area damage from PD 7974-7:2003 has been compared to fire and total damage from UK datasets where fire size is usually well confined to room of origin at 20% of fires based on the publicly available dataset. When fires exceeding specific areas of damage are considered, PD 7974-7:2003 usually overestimates fire damage and underestimates total damage, with more damage evident when sprinklers are absent compared to when they are present

Macroelement modeling of SSI effects on offshore wind turbines subject to large number of loading cycles

In this paper, the hypoplastic macroelement formulation proposed by [1] has been modified in order to extend its range of applicability to offshore structures subject to cyclic loads with very high number of cycles, with particular attention to fatigue phenomena and cyclic displacement accumulation. A series of FE analysis has been performed to model the soil–foundation interaction processes of a prototype of offshore wind turbine, for which the geometrical characteristic of the superstructure and foundation, the soil conditions and the predicted environmental (wave and wind) loads were known. The study, carried out in parametric form, has allowed to better understand the role played by the modified cyclic part of the macroelement model in reproducing the shake–down effects as observed in small–scale model tests.Peer ReviewedPostprint (published version

Development of the Supply Chain Management 2040 – Opportunities and challenges

Logistics and supply chain management have undergone significant change due to technological changes in the recent years. The classic transport, handling and storage processes with a strict functional orientation have been transformed into a global, network-oriented task-field. The future challenges are individual customer requirements, shorter delivery times and increasing cost pressure. Due to these challenges and the increasing globalization, companies are confronted with ever more complex supply chain networks. The digital transformation is intended to remedy this situation. New technologies, comprehensive real-time information availability and agile value creation networks are just examples to meet these challenges. This paper provides an overview of the expected developments in supply chain management over the next 20 years. Based on ten future megatrends, four main topics (technology, control tower, value adding and green logistics) were derived. The focus of this paper is on OEMs and Tier 1/n suppliers. Both are undergoing a major change on the customer and supplier side due to their central position within the supply chain