In fiscal year 2017, around 24.7 percent of Australian businesses with 20 to 199 employees stated that a lack of skilled personnel hindered their innovation processes. Small to medium-sized enterprises made up the largest share of businesses in the country in the same time period.

In fiscal year 2017, around 21.6 percent of Australian businesses with four employees or less stated that a lack of skilled personnel hindered their innovation processes. Small enterprises made up the largest share of businesses in the country in the same time period.

A longitudinal study of firms that are in the process of being established (nascent firms) and firms that have recently been established (young firms). The datasets comprise 1412 qualifying cases (obtained from a screening sample of 30,430 randomly selected households in Year 1). The data were collected in 4 annual waves each with over 500 variables per record, plus a fifth, follow-up wave focusing on outcomes. Wave 1 completed in May 2008; Wave 2 completed in July 2009; Wave 3 was completed in July 2010 and Wave 4 in July 2011. Wave 5 (outcomes follow-up) was completed in late 2013. The comprehensive data were collected by computer-aided telephone interviews (CATI) (approximately 45 minutes for each interview) and have been converted into SPSS and data base formats. There is extensive documentation on the dataset in the related codebook. The data set and documentation are available at http://eprints.qut.edu.au/49327/.

This data has been created by the Regional Australia Institute for the [In]Sight competitive index released in 2012. Modelled on the World Economic Forums Global Competitiveness Report [In]Sight was developed in collaboration with Deloitte Access Economics and combines data from sources including the Australian Bureau of Statistics and the Social Health Atlas of Australia.

The relationship between innovation and competitiveness becomes increasingly relevant in developed economies in which markets need to be at the forefront of cutting edge products and processes in order to retain their competitive advantage.

In the context of non-metropolitan regions of Australia innovation is indicative of businesses willing to try new approaches to improving productivity and engaging with the enterprise environment the digital agenda and investing in education and training. A reluctance or inability to innovate significantly reduces the competitiveness of a region.

New Zealand Visitor Arrivals: Spending: Australia data was reported at 2,548.000 NZD mn in 2018. This records a decrease from the previous number of 2,562.000 NZD mn for 2017. New Zealand Visitor Arrivals: Spending: Australia data is updated yearly, averaging 2,046.000 NZD mn from Sep 1998 (Median) to 2018, with 21 observations. The data reached an all-time high of 2,562.000 NZD mn in 2017 and a record low of 837.000 NZD mn in 1998. New Zealand Visitor Arrivals: Spending: Australia data remains active status in CEIC and is reported by Ministry of Business, Innovation and Employment. The data is categorized under Global Database’s New Zealand – Table NZ.Q013: Visitor Arrivals: Ministry of Business Innovation & Employment: By Spending Purpose and Country.

This data has been created by the Regional Australia Institute for the [In]Sight competitive index released in 2012. Modelled on the World Economic Forums Global Competitiveness Report [In]Sight was developed in collaboration with Deloitte Access Economics and combines data from sources including the Australian Bureau of Statistics and the Social Health Atlas of Australia. The relationship between innovation and competitiveness becomes increasingly relevant in developed economies in which markets need to be at the forefront of cutting edge products and processes in order to retain their competitive advantage. In the context of non-metropolitan regions of Australia innovation is indicative of businesses willing to try new approaches to improving productivity and engaging with the enterprise environment the digital agenda and investing in education and training. A reluctance or inability to innovate significantly reduces the competitiveness of a region.

This statistic shows the share of business sales income generated by innovative new goods or services in the wholesale trade industry in Australia in 2014/2015. That year, about 25.2 percent of companies in the wholesale trade sector in Australia generated between 5 and 10 percent of their sales income from new innovative goods or services.

Fujifilm Business Innovation New Zealand is a Public Company that generates the majority of its income from the Cloud Storage Services industry.

New Zealand MBIE Forecast: Total Visitor: Australia data was reported at 1,820,000.000 Person in 2024. This records an increase from the previous number of 1,778,000.000 Person for 2023. New Zealand MBIE Forecast: Total Visitor: Australia data is updated yearly, averaging 1,497,500.000 Person from Dec 2011 (Median) to 2024, with 14 observations. The data reached an all-time high of 1,820,000.000 Person in 2024 and a record low of 1,156,000.000 Person in 2012. New Zealand MBIE Forecast: Total Visitor: Australia data remains active status in CEIC and is reported by Ministry of Business, Innovation and Employment. The data is categorized under Global Database’s New Zealand – Table NZ.Q021: Tourism Statistics: Forecast: Ministry of Business, Innovation and Employment.

This dataset provides information about employment size by industry sector for 2011 in Victoria. The data is aggregated to Statistical Area Level 2 (SA2) from the 2011 Australian Statistical Geography Standard (ASGS).

The Industry Atlas of Victoria is a graphic snapshot of the State's economy - in Melbourne and regional Victoria. Highly informative maps have been derived from the 2006 Census, supplemented by up-to-date Australian Bureau of Statistics (ABS) data, to provide insight into the number and distribution of businesses, industries and the workforce. The Atlas provides fascinating information and valuable input into future industry policy development and infrastructure planning.

This dataset provides information about business turnover by size and industry sector for 2010 in Victoria. The data is aggregated to Statistical Area Level 2 (SA2) from the 2011 Australian Statistical Geography Standard (ASGS).

The Industry Atlas of Victoria is a graphic snapshot of the State's economy - in Melbourne and regional Victoria. Highly informative maps have been derived from the 2006 Census, supplemented by up-to-date Australian Bureau of Statistics (ABS) data, to provide insight into the number and distribution of businesses, industries and the workforce. The Atlas provides fascinating information and valuable input into future industry policy development and infrastructure planning.

New Zealand MBIE Forecast: Avg Length of Stay: Australia data was reported at 9.000 Day in 2024. This stayed constant from the previous number of 9.000 Day for 2023. New Zealand MBIE Forecast: Avg Length of Stay: Australia data is updated yearly, averaging 10.000 Day from Dec 2011 (Median) to 2024, with 14 observations. The data reached an all-time high of 11.000 Day in 2015 and a record low of 9.000 Day in 2024. New Zealand MBIE Forecast: Avg Length of Stay: Australia data remains active status in CEIC and is reported by Ministry of Business, Innovation and Employment. The data is categorized under Global Database’s New Zealand – Table NZ.Q021: Tourism Statistics: Forecast: Ministry of Business, Innovation and Employment.

The Professional Services subdivision's performance is largely linked to overall economic conditions, often determining business confidence and capital expenditure. Over the past few years, greater business profit and rising capital expenditure by the public sector have supported subdivision demand. However, construction projects that were delayed or cancelled because of surging construction expenses and labour scarcity adversely impacted several industries, including architectural services and engineering consulting. This factor has dampened overall subdivision performance, contributing to revenue only growing by an annualised 1.0% through the end of 2024-25 to $324.5 billion. This trend includes a 1.6% rise in the current year, as the rise of AI, particularly generative AI (genAI) and sustainability trends, enables higher value-added service offerings. The professional services subsector is shifting towards tech-oriented strategies. Service providers are incorporating advanced tech solutions like AI-assisted data analysis and genAI into operations. This technological integration improves efficiency and service delivery and facilitates innovation. GenAI has also enabled higher precision in services like design, consulting and accounting, redefining service delivery. High-value, tech-oriented services command premium pricing and have contributed to revenue growth. However, these come with inherent challenges. Requiring specialised skills leads to increased operational costs, including training expenses and investments in technology. The increased remuneration needed to attract and retain talent has escalated costs and exerted pressure on profit margins over the past few years. The Professional Services subdivision is forecast to grow over the next few years, driven by sustainability trends and enhanced regulations. As the focus on renewable energies intensifies, demand for engineering consultants equipped with specialist knowledge is set to accelerate. The need for mandatory climate disclosures and ESG compliance also presents growth potential for accounting and advisory firms. Technology is another determining factor that will dictate service offerings' operations, quality and variety. As demand for tech-oriented solutions intensifies, service providers will be more inclined to invest in tech-related expertise, adding value to their service offerings and enhancing their competitive edge in the market. These forces are why subdivision revenue is forecast to expand at an annualised 2.4% through the end of 2029-30, to $365.5 billion.

A survey conducted in January 2022 revealed that around 38 percent of manufacturers in Australia expect adopting emerging technologies in their business will increase productivity. Over 30 percent of manufacturers also expect to witness increases in revenue or profit, as a result of emerging technology investments.

Versions:V2 - now with V3 of Submission doc.V2 - now with V4 of Submission doc.V2 - now with V4a of Submission doc. (close to final, due tomorrow).V2 - final submission now added here and at: https://www.aph.gov.au/Parliamentary_Business/Committees/Joint/National_Broadband_Network/Businesscase/SubmissionsV3 - added Heatmap of %NBN houses, %gigabit houses, % customer satisfaction, %FTTN abandoners at End of Life (as html and pdf image). 20.4.18V4/5 - added Heatmap V3, with 20% invest in FTTN upgrade, and 40% gigabit take-up vs CSAT, FTTN abandon, %giga. 27.4.18v6: In Dec 2018, the inquiry requested an update to the submission by 8 Feb 2019. An update (including Observable graphs - linked below - called 2019 update) was created based on the 2019-22 NBN Strategic Plan and transcripts of Inquiry in 2018. A copy of the heat map attached here was also provided and explained.- added update for Corporate Plan 2020-23 (Observable link)CORRECTION: A calc error in V5a (as submitted) has been corrected in V5b (linked below). The CAPEX calculation omitted a check for CAPEX falling below $0. When NBN profits went negative, CAPEX as a % of profits also went negative. When subtracting CAPEX from cash, this effectively added back CAPEX. This only occurred in significantly negative outcomes of value of NBN, but was large in magnitude. So $63B losses became $20B losses. Positive NBN values appear unaffected. 24.4.18BACKGROUNDThis record documents a submission to Australian Joint Parliamentary Inquiry into the Business Case of NBN (the National Broadband Network). Inquiry home is at: https://www.aph.gov.au/Parliamentary_Business/Committees/Joint/National_Broadband_Network/Businesscase.Submissions are due 29 March, 2018.Since only 4 weeks was provided to produce a submission, the model created is a rapid-prototype, and has not been exhaustively tested. No current errors are known. Where found, errors are documented in the top of the model page.OUTPUTSAttached is a draft submission (V2), explaining an online model created to calculate the value of NBN over 20 years (post build; 2021 - 2041).An image of the starting point of the analysis, the estimated cash profit of NBN at 2021 is provided (NBN Financial 2016-2021), shows an estimated cash profit (EBITDA) of around $2.5B in 2021. Projected to 20 years, (ceteris paribus), this means NBN raises $50B cash, paying off $20B debt, and leaving surplus value (Cash at Yr 20) of $30B, as a Base Case.A pdf print of the model page (V5a - no explanations) is attached to show the levers available and default lever positions, showing NBN value at $31B. Cells within the Notebook, can be selected and opened to see the calculations within, like a spreadsheet. A user may change cells (assumptions or formulae) or levers (the sliders) to change both the value calculation, and the graph of cashflow. A user may adjust, for example, the life of FTTN from current 10yrs to 20yrs. Some assumptions are hard-coded into formulae.Two images (png) show analysis levers (sliders) which impact calculations. See Model Variables below.Further documentation is available, especially in V5 of the model, including: Disclaimer (what model doesn't contain), aim of the model. Now added jpg, so Figshare can preview picture.EVOLVING ANALYSISSee links below for the online version of the evolving model, from V1 to V5, and precursor models: NBN Business Case Financials (2021) and NBN Assets/Earnings Overview 2014-2021.METHODOLOGYThe Model is built using an online javascript tool, similar to a Jupyter Notebook (see examples at: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks), called an Observable Notebook (https://beta.observablehq.com/collection/introduction).Currently an Observable Notebook can only be viewed at its online home, and not in a standalone format, though this is planned in the future. Thus links to the online homepage of the model is attached below, but not the files to the model itself.The model calculates the value of NBN as the un-discounted cashflows over 20 years. A DCF (discounted cashflow) is also calculated (with variable interest rates).MODEL VARIABLESThe levers in the model include:

time to repay NBN’s debt, impact of more NBN customers switching away to mobile services, cost and time to replace FTTN with either FTTC or FTTP (including at different times), financial impact of not replacing FTTN, and FTTN users leaving NBN as FTTN gets to the end of its useful life financial impact of household and business takeup of gigabit services, and financial impact of changes in NBN customer satisfaction. Other sliders include; * interest rate for discounted cash flow calculations* number of years of analysis (up to 40)MODEL OUTPUT; the value of NBNThe Base Case model; values NBN at $31B. Variations in the lever settings can adjust NBN from -$23B to $171B. I hope the Model helps clarify some of the ways that the NBN value can be greater or lesser.Aim of the model (from V5; link below): This page projects forward NBN Financials after the Build Phase of the NBN, with seven user selectable options: users switching away from NBN to mobile onlytakeup of gigabit services on FTTC, HFC and FTTP,upgrading FTTN to FTTC or FTTP (and choosing either/or both),paying for FTTN upgrade by using a portion of cash generated each yearpaying off NBN debt by using a portion of cash generated each yearconsequences of FTTN reaching end of life, and a % of users switching off, andimpact of customer satisfaction; when good as returning customers, more gigabit use, and when poor, falling revenue and more leaving customers. The main outputs of the model, are:NBN yearly sales and (EBITDA)profit ($Billion), (either with or without an FTTN upgrade) andend of analysis period (up to 40 yrs) and by year, amount of cash on hand ($Billion).value of NBN (and discounted future cashflows for period of analysis). See note on NPV discounting in Disclaimer.total GDP impact of NBN ie Revenue plus expenses plus profit.

New Zealand MBIE Forecast: Spend per Day: Australia data was reported at 200.000 NZD in 2024. This stayed constant from the previous number of 200.000 NZD for 2023. New Zealand MBIE Forecast: Spend per Day: Australia data is updated yearly, averaging 200.000 NZD from Dec 2011 (Median) to 2024, with 14 observations. The data reached an all-time high of 209.000 NZD in 2018 and a record low of 135.000 NZD in 2012. New Zealand MBIE Forecast: Spend per Day: Australia data remains active status in CEIC and is reported by Ministry of Business, Innovation and Employment. The data is categorized under Global Database’s New Zealand – Table NZ.Q021: Tourism Statistics: Forecast: Ministry of Business, Innovation and Employment.

According to a survey conducted between July and August 2024, with 25 percent of respondents, the leading job function being performed by artificial intelligence (AI) for startups in Australia was content creation and writing. Around 30 percent of respondents said they were not using AI for any job functions.

Startups in Australia Thanks to its dynamic ecosystem that encourages entrepreneurship and innovation, Australia is quickly becoming a hotspot for startups. The country's supportive business environment, access to venture capital, and pool of skilled talent contribute to the growth of diverse startups across various sectors. According to a survey conducted in July and August 2024, software development and artificial intelligence were considered the top two industries for Australian startups. Initiatives from the Australian government, such as grants and tax incentives, also support the development of the business environment.
AI usage in Australian businesses In Australia, attitudes toward artificial intelligence appear largely positive, with a sizable portion of respondents thinking that AI has the potential to solve more problems than it creates. Artificial intelligence is believed to improve many aspects of business operations and is essential for promoting efficiency and innovation. According to a survey conducted in Australia in 2023, some companies engaged in online sales mostly use AI for tasks such as generating web content and offering product recommendations to customers. Artificial intelligence algorithms can also help to forecast market trends, examine customer behavior, and tailor solutions to changing needs. Despite some companies stating that they do not already use AI in their e-commerce operations, a large share of organizations said they are open to implementing the technology in the future.

This dataset provides information about the number of persons employed by each industry for 2011 in Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian …Show full descriptionThis dataset provides information about the number of persons employed by each industry for 2011 in Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). Place of Work (POWP) data provides information on where employed people over 15 years of age worked in the week prior to Census Night. Copyright attribution: Government of Victoria - Department of State Development Business and Innovation, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This dataset provides the population by gender for 2011 in Mainland Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). Show full descriptionThis dataset provides the population by gender for 2011 in Mainland Australia. The data is aggregated to Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). The Industry Atlas of Victoria is a graphic snapshot of the State's economy - in Melbourne and regional Victoria. Highly informative maps have been derived from the 2006 Census, supplemented by up-to-date Australian Bureau of Statistics (ABS) data, to provide insight into the number and distribution of businesses, industries and the workforce. The Atlas provides fascinating information and valuable input into future industry policy development and infrastructure planning. Copyright attribution: Government of Victoria - Department of State Development Business and Innovation, (2014): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

"Woolworths Group (Australia): Retailer Profile with IT Spending", a Technology Profile report by GlobalData, is one among the many offerings in Digital Industry product line up, which provides an executive-level overview of the information & communications technology budget of the profiled company. The report also presents a summary of business operations, company positioning, key performance indicators, and brings special focus on digital innovation and transformation strategies of the company adopted by the enterprises. Read More