Managing specialised knowledge in technopreneurial firms : the Australian experience

Technology-oriented young firms play an important role for innovation and commercialisation of new ideas. These firms are often founded by engineers, scientists or academics who posses great scientific/technological knowledge, but limited know-how in other aspects of managing a business including knowledge management. Successful managing and integrating their specialised knowledge is of particular importance when it comes to developing a new product or process. This article therefore focuses on the particularities of the knowledge management process in technopreneurial firms. Using a qualitative investigation from a sample of Australian SMEs, a number of key observations are derived which show the challenges of managing knowledge and how important knowledge management is as a management tool for R&D and innovation process in technology-oriented SMEs. Findings suggest that knowledge management and integration processes in these firms are very much project focused and mainly based on ad hoc and informal processes and not embedded within the overall organisational routines.

A conceptual decision-making framework for the delivery of innovative change in organisations

Research found that today’s organisations are increasingly aware of the potential barriers and perceived challenges associated with the successful delivery of change — including cultural and sub-cultural indifferences; financial constraints; restricted timelines; insufficient senior management support; fragmented key stakeholder commitment; and inadequate training. The delivery and application of Innovative Change (see glossary) within a construction industry organisation tends to require a certain level of ‘readiness’. This readiness is the combination of an organisation’s ability to part from undertakings that may be old, traditional, or inefficient; and then being able to readily adopt a procedure or initiative which is new, improved, or more efficient. Despite the construction industry’s awareness of the various threats and opportunities associated with the delivery of change, research found little attention is currently given to develop a ‘decision-making framework’ that comprises measurable elements (dynamics) that may assist in more accurately determining an organisation’s level of readiness or ability to deliver innovative change. To resolve this, an initial Background Literature Review in 2004 identified six such dynamics, those of Change, Innovation, Implementation, Culture, Leadership, and Training and Education, which were then hypothesised to be key components of a ‘Conceptual Decision-making Framework’ (CDF) for delivering innovative change within an organisation. To support this hypothesis, a second (more extensive) Literature Review was undertaken from late 2007 to mid 2009. A Delphi study was embarked on in June 2008, inviting fifteen building and construction industry members to form a panel and take part in a Delphi study. The selection criterion required panel members to have senior positions (manager and above) within a recognised field or occupation, and to have experience, understanding and / or knowledge in the process of delivering change within organisations. The final panel comprised nine representatives from private and public industry organisations and tertiary / research and development (R&D) universities. The Delphi study developed, distributed and collated two rounds of survey questionnaires over a four-month period, comprising open-ended and closed questions (referred to as factors). The first round of Delphi survey questionnaires were distributed to the panel in August 2008, asking them to rate the relevancy of the six hypothesised dynamics. In early September 2008, round-one responses were returned, analysed and documented. From this, an additional three dynamics were identified and confirmed by the panel as being highly relevant during the decision-making process when delivering innovative change within an organisation. The additional dynamics (‘Knowledge-sharing and Management’; ‘Business Process Requirements’; and ‘Life-cycle Costs’) were then added to the first six dynamics and used to populate the second (final) Delphi survey questionnaire. This was distributed to the same nine panel members in October 2008, this time asking them to rate the relevancy of all nine dynamics. In November 2008, round-two responses were returned, analysed, summarised and documented. Final results confirmed stability in responses and met Delphi study guidelines. The final contribution is twofold. Firstly, findings confirm all nine dynamics as key components of the proposed CDF for delivering innovative change within an organisation. Secondly, the future development and testing of an ‘Innovative Change Delivery Process’ (ICDP) is proposed, one that is underpinned by an ‘Innovative Change Decision-making Framework’ (ICDF), an ‘Innovative Change Delivery Analysis’ (ICDA) program, and an ‘Innovative Change Delivery Guide’ (ICDG).

Strategic dalliances as an enabler for discontinuous innovation in slow clockspeed industries: evidence from the oil and gas industry

The concept of ‘strategic dalliances’– defined as non-committal relationships that companies can ‘dip in and out of,’ or dally with, while simultaneously maintaining longer-term strategic partnerships with other firms and suppliers – has emerged as a promising strategy by which organizations can create discontinuous innovations. But does this approach work equally well for every sector? Moreover, how can these links be effectively used to foster the process of discontinuous innovation? Toward assessing the role that industry clockspeed plays in the success or failure of strategic dalliances, we provide case study evidence from Twister BV, an upstream oil and gas technology provider, and show that strategic dalliances can be an enabler for the discontinuous innovation process in slow clockspeed industries. Implications for research and practice are discussed, and conclusions from our findings are drawn.

The Long-Term Irrelevance of Trust in Outsourcing Decisions for New Technologies: Insights from an Agent-Based Model

Significant empirical data from the fields of management and business strategy suggest that it is a good idea for a company to make in-house the components and processes underpinning a new technology. Other evidence suggests exactly the opposite, saying that firms would be better off buying components and processes from outside suppliers. One possible explanation for this lack of convergence is that earlier research in this area has overlooked two important aspects of the problem: reputation and trust. To gain insight into how these variables may impact make-buy decisions throughout the innovation process, the Sporas algorithm for measuring reputation was added to an existing agent-based model of how firms interact with each other throughout the development of new technologies. The model�s results suggest that reputation and trust do not play a significant role in the long-term fortunes of an individual firm as it contends with technological change in the marketplace. Accordingly, this model serves as a cue for management researchers to investigate more thoroughly the temporal limitations and contingencies that determine how the trust between firms may affect the R&D process.

Managing specialised knowledge in technopreneurial firms : evidence from Australian SMEs

This paper analyses particularities of the knowledge management process in technopreneurial firms with particular focus on knowledge identification, acquisition, utilisation and integration. Using a qualitative investigation from a sample of Australian SMEs, a number of key observations are derived which show the challenges of managing knowledge and how important knowledge management is as a management tool for R&D and innovation process in technology-oriented SMEs. Findings suggest that knowledge management and integration processes in these firms are very much project focused and mainly based on ad hoc and informal processes and not embedded within the overall organisational routines.

Utilizing industry-led innovation capacity to enhance supply chain performance : an empirical study

A fundamental principle of the resource-based (RBV) of the firm is that the basis for a competitive advantage lies primarily in the application of bundles of valuable strategic capabilities and resources at a firm’s or supply chain’s disposal. These capabilities enact research activities and outputs produced by industry funded R&D bodies. Such industry lead innovations are seen as strategic industry resources, because effective utilization of industry innovation capacity by sectors such as the Australian beef industry are critical, if productivity levels are to increase. Academics and practitioners often maintain that dynamic supply chains and innovation capacity are the mechanisms most likely to deliver performance improvements in national industries.. Yet many industries are still failing to capitalise on these strategic resources. In this research, we draw on the resource-based view (RBV) and embryonic research into strategic supply chain capabilities. We investigate how two strategic supply chain capabilities (supply chain performance differential capability and supply chain dynamic capability) influence industry-led innovation capacity utilization and provide superior performance enhancements to the supply chain. In addition, we examine the influence of size of the supply chain operative as a control variable. Results indicate that both small and large supply chain operatives in this industry believe these strategic capabilities influence and function as second-order latent variables of this strategic supply chain resource. Additionally respondents acknowledge size does impacts both the amount of influence these strategic capabilities have and the level of performance enhancement expected by supply chain operatives from utilizing industry-led innovation capacity. Results however also indicate contradiction in this industry and in relation to existing literature when it comes to utilizing such e-resources.

Monte Carlo verification of gel dosimetry measurements for stereotactic radiotherapy

The quality assurance of stereotactic radiotherapy and radiosurgery treatments requires the use of small-field dose measurements that can be experimentally challenging. This study used Monte Carlo simulations to establish that PAGAT dosimetry gel can be used to provide accurate, high resolution, three-dimensional dose measurements of stereotactic radiotherapy fields. A small cylindrical container (4 cm height, 4.2 cm diameter) was filled with PAGAT gel, placed in the parietal region inside a CIRS head phantom, and irradiated with a 12 field stereotactic radiotherapy plan. The resulting three-dimensional dose measurement was read out using an optical CT scanner and compared with the treatment planning prediction of the dose delivered to the gel during the treatment. A BEAMnrc DOSXYZnrc simulation of this treatment was completed, to provide a standard against which the accuracy of the gel measurement could be gauged. The three dimensional dose distributions obtained from Monte Carlo and from the gel measurement were found to be in better agreement with each other than with the dose distribution provided by the treatment planning system's pencil beam calculation. Both sets of data showed close agreement with the treatment planning system's dose distribution through the centre of the irradiated volume and substantial disagreement with the treatment planning system at the penumbrae. The Monte Carlo calculations and gel measurements both indicated that the treated volume was up to 3 mm narrower, with steeper penumbrae and more variable out-of-field dose, than predicted by the treatment planning system. The Monte Carlo simulations allowed the accuracy of the PAGAT gel dosimeter to be verified in this case, allowing PAGAT gel to be utilised in the measurement of dose from stereotactic and other radiotherapy treatments, with greater confidence in the future.

Powering innovation through tax concessions : the changing research and development tax incentives

The changing R&D Tax Concession has been touted as the biggest reform to business innovation policy in over a decade. But, is it a changing tax for changing times? This paper addresses this question and further asks ‘what’s tax got to do with it?’. To answer this question, the paper argues that rather than substantive tax reform, the proposed measures simply alter the criteria and means by which companies become eligible for a Federal Government subsidy for qualifying R&D activity. It further argues that when considered as part of the broader innovation agenda, the R&D Tax Concession should be evaluated as a government spending program in the same way as any direct spending on innovation. When this is done, the tax regime is arguably only the administrative policy instrument by which the subsidy is delivered. However, it is proposed that this may not be best practice to distribute those funds fairly, efficiently, and without distortion, while at the same time maintaining adequate government control and accountability. Finally, in answering the question of ‘what’s tax got to do with it?’ the paper concludes that the answer is ‘very little’.

Use of Bayesian MUNE to show differing rate of loss of motor units in subgroups of ALS

Objectives To evaluate differences among patients with different clinical features of ALS, we used our Bayesian method of motor unit number estimation (MUNE). Methods We performed serial MUNE studies on 42 subjects who fulfilled the diagnostic criteria for ALS during the course of their illness. Subjects were classified into three subgroups according to whether they had typical ALS (with upper and lower motor neurone signs) or had predominantly upper motor neurone weakness with only minor LMN signs, or predominantly lower motor neurone weakness with only minor UMN signs. In all subjects we calculated the half life of MUs, defined as the expected time for the number of MUs to halve, in one or more of the abductor digiti minimi (ADM), abductor pollicis brevis (APB) and extensor digitorum brevis (EDB) muscles. Results The mean half life of MUs was less in subjects who had typical ALS with both upper and lower motor neurone signs than in those with predominantly upper motor neurone weakness or predominantly lower motor neurone weakness. In 18 subjects we analysed the estimated size of the MUs and demonstrated the appearance of large MUs in subjects with upper or lower motor neurone predominant weakness. We found that the appearance of large MUs was correlated with the half life of MUs. Conclusions Patients with different clinical features of ALS have different rates of loss and different sizes of MUs. Significance: These findings could indicate differences in disease pathogenesis.

Hydrothermal technologies for the production of fuels and chemicals from biomass

Biomass and non-food crop residues are seen as relatively low cost and abundant renewable sources capable of making a large contribution to the world���s future energy and chemicals supply. Signifi cant quantities of ethanol are currently produced from biomass via biochemical processes, but thermochemical conversion processes offer greater potential to utilize the entire biomass source to produce a range of products. This chapter will review thermochemical gasifi cation and pyrolysis methods with a focus on hydrothermal liquefaction processes. Hydrothermal liquefaction is the most energetically advantageous thermochemical biomass conversion process. If the target is to produce sustainable liquid fuels and chemicals and reduce the impact of global warming as a result of carbon dioxide, nitrous oxide, and methane emissions (i.e., protect the natural environment), the use of “green” solvents, biocatalysts and heterogeneous catalysts must be the main R&D initiatives. As the biocrude produced from hydrothermal liquefaction is a complex mixture which is relatively viscous, corrosive, and unstable to oxidation (due to the presence of water and oxygenated compounds), additional upgrading processes are required to produce suitable biofuels and chemicals.

Investigating the change in three dimensional deformity for idiopathic scoliosis using axially loaded MRI

Background: Adolescent idiopathic scoliosis is a complex three-dimensional deformity, involving a lateral deformity in the coronal plane and axial rotation of the vertebrae in the transverse plane. Gravitational loading plays an important biomechanical role in governing the coronal deformity, however, less is known about how they influence the axial deformity. This study investigates the change in three-dimensional deformity of a series of scoliosis patients due to compressive axial loading. Methods: Magnetic resonance imaging scans were obtained and coronal deformity (measured using the coronal Cobb angle) and axial rotations measured for a group of 18 scoliosis patients (Mean major Cobb angle was 43.4 o). Each patient was scanned in an unloaded and loaded condition while compressive loads equivalent to 50% body mass were applied using a custom developed compressive device. Findings: The mean increase in major Cobb angle due to compressive loading was 7.4 o (SD 3.5 o). The most axially rotated vertebra was observed at the apex of the structural curve and the largest average intravertebral rotations were observed toward the limits of the coronal deformity. A level-wise comparison showed no significant difference between the average loaded and unloaded vertebral axial rotations (intra-observer error = 2.56 o) or intravertebral rotations at each spinal level. Interpretation: This study suggests that the biomechanical effects of axial loading primarily influence the coronal deformity, with no significant change in vertebral axial rotation or intravertebral rotation observed between the unloaded and loaded condition. However, the magnitude of changes in vertebral rotation with compressive loading may have been too small to detect given the resolution of the current technique.

Industrialized housing in China : a coin with two sides

China today is experiencing a time when housing is needed more than ever and one approach satisfying this need is by industrialization - a streamlined process aimed at generating profits and promoting energy efficiency in the housing sectors. Although large housing programs have been completed in China, few housing projects have been built in an industrialized manner. One contributing factor is that industrialization is not omnipotent and, just as a coin has two sides, not all the outcomes of industrialization are beneficial. In this paper, a preliminary assessment is made of these two sides - the benefits and hindrances of industrialized housing in China - by literature review and survey. Case studies are used to verify the questionnaire survey results and from which the advantages and disadvantages involved are compared. The findings indicate the need for formulating policies to encourage industrialized housing in China and for well-planned R&D themes to be implemented simultaneously with industry practices in the near future.

Optimising weed control by considering disturbance

Mounting scientific evidence suggests newly imposed disturbance and/or alterations to existing disturbances facilitate invasion. Several empirical studies have explored the role of disturbance in invasion, but little work has been done to fit current understanding into a format useful for practical control efforts. We are working towards addressing this shortcoming by developing a metapopulation model couched in a decision theory framework. This approach has allowed us to investigate how incorporating the negative effects of disturbance on native vegetation into decision-making can change optimal control measures. In this paper, we present some preliminary results.