What is the impact of research funding on research productivity?

A research protocol for our prospective study of research funding. How much research funding improves research productivity is a question that has relevance for all funding agencies and governments around the world. Previous studies have used observational data that compares productivity between winners of different amounts of funding, but researchers who win lots of funding are usually very different from those who win little or no funding. This difference creates potentially serious confounding which biases any estimate of the effect of funding based on observational data that simply compares research output for those who did and did not win funding. This means we do not currently know the return on investment for our research dollars, of which billions are invested around the world every year. By using a study design that incorporates randomisation this will be the world’s first unbiased study of the impact of researcher funding.

Investigating marketing managers' perspectives on social media in Chile

Social media has reached global proportions, yet little is known about firms’ engagement with these Web 2.0 technologies in emerging markets within Latin America. The study investigates Chilean marketing managers’ perspectives on social media platforms, the benefits or barriers to their firm’s marketing practices and the impact they have on the immediate marketing environment based on in-depth interviews. Applying Okazaki and Taylor’s (2013) social media framework the findings provide an understanding of social media’s role for Chilean firms in customer engagement, brand image enhancement, return on investment, and meeting consumer needs through time and place. Additional themes emerged on the use of social media through Smartphones and their value for future marketing activities.

The impact of stock option incentives on investment and firm value

This paper analyzes the relations among firm-level stock option portfolio incentives, investment, and firm value based on a sample of Finnish firms during the time period 1987 – 2000. Utilizing exact and complete information regarding stock option portfolio characteristics, we find some evidence that firm investment is increasing in the incentives to increase stock price (delta) and risk (vega). Furthermore, we find strong evidence of a positive relation between both incentive effects and firm value (Tobin’s Q). In contrast, when we allow for stock option incentives, investment, and firm value to be simultaneously determined, we find no evidence that investment is increasing in incentives. However, even after controlling for endogeneity, we find that both incentive effects arising from stock option compensation display a positive and significant effect on firm value. Finally, in contradiction to earlier findings, we observe that neither Tobin’s Q nor investment drives incentives.

The effects of brood stock size on the economy of catfish (Clarias anguillaris) fry production using the hormone induced natural breeding technique

89 ripe female brooders of the catfish, Clarias anguillaris (Body wt. Range 150g-1, 200g) were induced to spawn by hormone (Ovaprim) induced natural spawning technique over a period of 10 weeks. Matching ripe males were used for pairing the females at the ratio of two males to a female. Six ranges of brood stock body weights were considered as follows; <200g; 200g-399g; 400g-599g; 600-799g; 800g-999g; > 1000g and the number of fry produced by each female brooder was scored/recorded against the corresponding body weight range. The number of fry per unit quantity of hormone and the cost of production a fry based on the current price of Ovaprim (hormon) were determined so as to ascertain most economic size range. The best and most economic size range was between 400g-599g body weight with about 20,000 fry per ml of hormone and N0.028 per fry, while the females above 1000g gave the poorest results of 9,519 fry per ml of hormone and N0.059 per fry. For optimum production of Clarias anguillaris fry and maximum return on investment female brooders of body weights ranging between 400g-599g are recommended for hormone induced natural breeding exercises

The effects of brood stock size on the economy of catfish (Clarias anguillaris) fry production using the hormone induced natural breeding technique

89 ripe female brooders of the catfish, Clarias anguillaris (Body wt. Range 150g-1, 200g) were induced to spawn by hormone (Ovaprim) induced natural spawning technique over a period of 10 weeks. Matching ripe males were used for pairing the females at the ratio of two males to a female. Six ranges of brood stock body weights were considered as follows; <200g; 200g-399g; 400g-599g; 600-799g; 800g-999g; > 1000g and the number of fry produced by each female brooder was scored/recorded against the corresponding body weight range. The number of fry per unit quantity of hormone and the cost of production a fry based on the current price of Ovaprim (hormon) were determined so as to ascertain most economic size range. The best and most economic size range was between 400g-599g body weight with about 20,000 fry per ml of hormone and N0.028 per fry, while the females above 1000g gave the poorest results of 9,519 fry per ml of hormone and N0.059 per fry. For optimum production of Clarias anguillaris fry and maximum return on investment female brooders of body weights ranging between 400g-599g are recommended for hormone induced natural breeding exercises

The rate of return on equity across industrial sectors on the British stock market, 1825-70

This article assesses the contribution of the various industrial sectors to the growth of the British equity market in the 1825–70 period. It also provides estimates of the rates of return on these industrial sectors in this period. The article then proceeds to examine whether differences in rates of return across the various sectors can be explained by risk or other financial factors. One of the main findings is that the relatively high rates of return in the banking, insurance, and miscellaneous sectors appear to be in some measure explained by the presence of extended liability and uncalled capital.

A comparative analysis of fault injection methods via enhanced on-chip debug infrastructures

On-chip debug (OCD) features are frequently available in modern microprocessors. Their contribution to shorten the time-to-market justifies the industry investment in this area, where a number of competing or complementary proposals are available or under development, e.g. NEXUS, CJTAG, IJTAG. The controllability and observability features provided by OCD infrastructures provide a valuable toolbox that can be used well beyond the debugging arena, improving the return on investment rate by diluting its cost across a wider spectrum of application areas. This paper discusses the use of OCD features for validating fault tolerant architectures, and in particular the efficiency of various fault injection methods provided by enhanced OCD infrastructures. The reference data for our comparative study was captured on a workbench comprising the 32-bit Freescale MPC-565 microprocessor, an iSYSTEM IC3000 debugger (iTracePro version) and the Winidea 2005 debugging package. All enhanced OCD infrastructures were implemented in VHDL and the results were obtained by simulation within the same fault injection environment. The focus of this paper is on the comparative analysis of the experimental results obtained for various OCD configurations and debugging scenarios.

Return on assets in the Tobacco Industry analysis of the four main Tobacco Manufacturers

This paper studies operating profitability drivers in the Four Main Tobacco Manufacturers for the period 2004-2014. The operating profitability is analyzed as return on assets (ROA) based on the DuPont Extended Model breakdown in degree of operational risk, gross sales margin and assets turnover. The sources of ROA are market share and price strategies appraised through the drivers: firm-size, global value and strategic choices. Using consolidated data, results suggest that firm-size and global value holds a positive relationship with ROA. Also innovation through less harmful tobacco products can lead to better ROA despite no correlation between R&D and ROA.

Educational Technology Decision-Making: A Case Study on Technology Acquisition for 746,000 Ontario Students

Very little research has examined K–12 educational technology decision-making in Canada. This collective case study explores the technology procurement process in Ontario’s publicly funded school districts to determine if it is informed by the relevant research, grounded in best practices, and enhances student learning. Using a qualitative approach, 10 senior leaders (i.e., chief information officers, superintendents, etc.) were interviewed. A combination of open-ended and closed-ended questions were used to reveal the most important factors driving technology acquisition, research support, governance procedures, data use, and assessment and return on investment (ROI) measures utilized by school districts in their implementation of educational technology. After participants were interviewed, the data were transcribed, member checked, and then submitted to “Computer-assisted NCT analysis” (Friese, 2014) using ATLAS.ti. The findings show that senior leaders are making acquisitions that are not aligned with current scholarship and not with student learning as the focus. It was also determined that districts struggle to use data-driven decision-making to support the governance of educational technology spending. Finally, the results showed that districts do not have effective assessment measures in place to determine the efficacy or ROI of a purchased technology. Although data are limited to the responses of 10 senior leaders, findings represent the technology leadership for approximately 746,000 Ontario students. The study is meant to serve as an informative resource for senior leaders and presents strategic and research-validated approaches to technology procurement. Further, the study has the potential to refine technology decision-making, policies, and practices in K–12 education.

An econometric model of the determinants of private investment and a CGE model of the impact of democracy on investment and economic growth in Fiji

Purpose – The purpose of this paper is to construct an econometric model of the determinants of private investment with a particular focus on the impact of democracy on investment.

Design/methodology/approach – The first step was to econometrically derive the long-run elasticities; then to modify the Fiji computable general equilibrium (CGE) model to incorporate the investment function. Also the econometrically derived long run elasticities in the CGE model were used.

Findings – It was found that democracy has a positive and statistically significant impact on private investment in Fiji. The paper's simulation of Fiji becoming a fully democratic country on investment and other macroeconomic fundamentals, based on a CGE model, reveals that real gross domestic product and real national welfare increase by around 0.01 and 0.05 per cent, respectively; government savings and revenue performance improves; there is a trade balance surplus; and both private consumption and disposable income increase by around 0.05 and 0.12 per cent, respectively.

Originality/value – This is the first study that uses a CGE model to examine the impact of democracy, via investment, on other macroeconomic fundaments. No other study is known to have modelled democracy in a CGE framework.