327 research outputs found

    An Investigation of Significant Factors Influencing Western Australian Wool Producers to Produce Wool: A Structural Equation Modelling Approach

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    Why Australian wool producers remained in the business despite the hardship they have experienced for much of the 1990s from low prices of wool? This question was raised frequently by research scientists and policymakers of the wool industry. A recent exploratory study gives a notion that Australian wool production could be a 'lifestyle' choice and/or a choice other than economic reasons. To validate this notion this paper investigates the factors that drive and motivate the Western Australian wool producers, as identified in the exploratory study, by applying a Structural Equation Modelling approach. An innovative mixed research method is adopted in this study. Telephone survey is conducted among a random selection of 290 wool producers in WA. The results suggest that despite some expectations lifestyle factor is not significant in influencing WA wool producers to produce wool. Income, input factor and personal motivation are significant predictors of wool production by WA wool producers. Implications of the results are discussed.Livestock Production/Industries, C21, L2, L7, Q10,

    Antecedents of Continuance Intention of RFID Technology in Western Australian Farms

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    In literature, adoption and continuance of an innovation have been considered as discrete events and discussed in separate models. This study argues that these are interrelated and continuous processes. The objective of this study is to investigate the adoption and continuance behaviour of a technological innovation in a single framework taking Radio Frequency Identification (RFID) as the context. Applying the quantitative research approach, this study finds that external environment, the technology itself, and the organization factors influence RFID adoption whereas the continuance of RFID technology is dependent on confirmation and satisfaction from using the technology. Moreover, confirmation is the immediate next stage of adoption where the adopters justify their adoption decision and take required actions and/or adjustments. Data were analysed using Partial Least Square (PLS)- based Structured Equation Modelling (SEM) tool. The discussion and implications on the findings are discussed in detail

    Information and Communication Technology Usage by SMEs in a Developing Country: An Environmental Perspective

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    The paper addresses organisational usage of Information and Communication Technology (ICT) from a developing country perspective. Applying three dimensions of environmental pressures—coercive pressures, normative pressures and mimetic pressures—with the two fundamental antecedents of Technology Acceptance Model (TAM)—perceived usefulness and ease of use—this study attempts to look at the effects of external forces on the adoption and use of ICT by SMEs in Bangladesh. PLS based path modelling with a cross-sectional dataset of 557 SMEs in Bangladesh reveals a significant association of normative pressures, coercive pressures, perceived usefulness and perceived ease of use with SMEs intention to use ICT. The path analysis further demonstrates a strong and significant effect of intention on actual ICT usage behaviour. The study concludes with implications of the results

    A Multi-Disciplinary Approach For Determining Adoption Of Agricultural Price Risk Management Strategies

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    Australian wool producers have been slow to adopt price risk management strategies to stabilise the income from their wool sales. The highly volatile auction system accounts for 85% of raw wool sales while the remainder is sold by forward contract, futures and other hedging methods. Qualitative analysis was used to find behavioural factors associated with the adoption of price risk management strategies (specifically futures and forward contracts) for selling raw wool. Consideration was given to Diffusion of Innovations and the Theory of Planned Behaviour as theoretical frameworks in order to answer the research question: Are there any non-traditional behavioural factors that need to be incorporated into existing frameworks to determine adoption of price risk management strategies for selling raw wool? In contrast to these prominent theories, data from four focus groups conducted with wool producers in regional Western Australia showed that trust, habit and social cohesion were the major behavioural determinants that governed the adoption of price risk management strategies. The significance of this paper lies in its multi-disciplinary approach to understanding the dimensions of farm-level decision making.Qualitative analysis, trust, habit, social cohesion, forward contracts, wool., Agricultural Finance, Risk and Uncertainty,

    Farmer-To-Farmer Advice: What's the Best Way to Sell Raw Wool in Australia?

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    Some 85% of all raw wool produced in Australia is sold on the open-cry auction system (Bolt 2004). Current debate among wool growers highlighted the need to explore other methods available and, of these, determine what are the most preferred. Four focus groups were conducted in regional Western Australia to ascertain primary producers' opinions on the options available for selling their raw wool. Focus group p articipants were given a series of scenarios to brainstorm, these focused on offering advice to a new neighbour who had n ever grown wool. Results of the research showed that auctioning wool via the services of a broker is by far the preferred selling method. Forward contracting and internet-based selling were options that were unfamiliar but worthy of trial while futures and op tions trading, value-added selling and selling direct to mills were the least favoured methods. Further to this it was found that producers are willing to try selling methods that shorten the wool supply chain and they also favour relationship-based systems.Livestock Production/Industries, Marketing,

    Inter-firm Relationships and Performance Factors in the Australian Beef Supply Chain: Implications for the Stakeholders

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    Recent study by Meat & Livestock Australia revealed that cost competitiveness and market development issues in supply chain are the major factors for a long term decline of the Australian Beef industry. This study, based on the explanation of transaction cost theory argues that competitive performance of an industry depends on improving cost efficiency across the whole of supply chain, the underlying value chain, and the relationship among the stakeholders in the industry. With a main objective to investigate the underlying factors of developing competent inter-firm relationship that influence the supply chain performance and competitiveness, this study presents details of a survey carried out and tests the hypothesis that inter-organizational relationships in supply chain and its antecedents have impact on the performance of Australian beef industry and thus have impact on the competitiveness of the industry. Data were collected through a telephone survey of 315 firms in the beef industry from the states of Western Australia and Queensland. The sample respondents were categorized as input suppliers, beef-cattle producers, processors, retailers/exporters, and wholesalers. The data were analysed using the partial least square based structural equation modelling. PLS analysis reveals that ‘Transaction Climate’ is the strongest determinants of developing a competent relationship, while negotiation power, presence of industry competitors, and the degree of vertical coordination significantly influence the relationship strength. Findings also demonstrate that relationship strength is the most prevalent source of performance and competitiveness, while SC performance highly positively influences the Competitiveness of beef industry. Thus this study identifies significant antecedents and consequences of Supply Chain Performance in Australian beef industry, which are strategic and extremely important information for beef producers, processors, retailers, and other stakeholders for appropriate planning and benchmarking.Beef Supply Chain, Agribusiness Management, Supply Chain Management, Agribusiness,
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