Rethinking the corporate tax base. Evidence of the relationships between cash flow and net income

This study examines how the operating cash flow net of cash from investing activities (CFINV) is correlated with the net income for a sample of 189 Italian listed firms from 2011 to 2015. Research findings revealed three main results. First, firms that have a positive amount of CFINV greater than the amount of net income are unprofitable and levered. Second, CFINV is positively affected by firm profitability, efficiency and leverage. Third, the corporate tax burden is positively affected by firm profitability and efficiency, but negatively influenced by leverage. A similar association between corporate tax burden and CFINV was also found. The relations we present aim to provide additional evidence for the debate about the use of a cash-flow tax base as an alternative solution to the traditional income tax base

The Effects of Nutrition Package Claims, Nutrition Facts Panels, and Motivation to Process Nutrition Information on Consumer Product Evaluations

In a laboratory experiment using a between-subjects design, the authors examine the effects on nutrition and product evaluations of nutrition claims made (e.g., 99% fat free; low in calories ) on a product package, product nutrition value levels, and enduring motivation to process nutrition information. Enduring motivation is shown to moderate the effects of product nutrition value on consumer evaluations. Also, nutrition claims interact with product nutrition value in affecting consumer perceptions of manufacturer credibility. Given the availability of nutrient levels in the Nutrition Facts panel on the back of the mock package, nutrition claims on the front of the package generally did not affect positively consumers\u27 overall product and purchase intention evaluations. The authors discuss some implications of these findings, suggestions for further research, and study limitations

Strategic Compensation: Does Business Strategy Influence Compensation in High-Technology Firms?

This study examined whether a firm\u27s business strategy influences the firm\u27s compensation systems in high-technology firms. For the firm strategy variable, we used innovation strategy, which is one of the most critical business strategies in the high-technology industry. Our analysis showed that a firm\u27s emphasis on innovation is positively related to the firm\u27s employee pay level, both short-term pay and long-term pay. Moreover, a firm\u27s emphasis on innovation has significant influence on several other aspects of employee compensation management. Innovation is positively associated with the difference in pay level between R&D employees and other employees, time orientation of employee compensation (the relative emphasis on long-term pay to short-term pay), and the length of the stock option vesting period. The influence of innovation is significant after controlling for industry membership

Harnessing data flow and modelling potentials for sustainable development

Tackling some of the global challenges relating to health, poverty, business and the environment is known to be heavily dependent on the flow and utilisation of data. However, while enhancements in data generation, storage, modelling, dissemination and the related integration of global economies and societies are fast transforming the way we live and interact, the resulting dynamic, globalised and information society remains digitally divided. On the African continent, in particular, the division has resulted into a gap between knowledge generation and its transformation into tangible products and services which Kirsop and Chan (2005) attribute to a broken information flow. This paper proposes some fundamental approaches for a sustainable transformation of data into knowledge for the purpose of improving the peoples' quality of life. Its main strategy is based on a generic data sharing model providing access to data utilising and generating entities in a multi disciplinary environment. It highlights the great potentials in using unsupervised and supervised modelling in tackling the typically predictive-in-nature challenges we face. Using both simulated and real data, the paper demonstrates how some of the key parameters may be generated and embedded in models to enhance their predictive power and reliability. Its main outcomes include a proposed implementation framework setting the scene for the creation of decision support systems capable of addressing the key issues in society. It is expected that a sustainable data flow will forge synergies between the private sector, academic and research institutions within and between countries. It is also expected that the paper's findings will help in the design and development of knowledge extraction from data in the wake of cloud computing and, hence, contribute towards the improvement in the peoples' overall quality of life. To void running high implementation costs, selected open source tools are recommended for developing and sustaining the system. Key words: Cloud Computing, Data Mining, Digital Divide, Globalisation, Grid Computing, Information Society, KTP, Predictive Modelling and STI

Decision support tools for selecting organisational improvement initiatives: a review

Decision support tools are used in many organisations to support organisational decision making activities. However, very limited studies have been found focussing on the decision support tools for selecting organisational improvement initiatives. Improvement initiatives are approaches, management systems, tools and/or techniques that can be used for managing and improving organisations, such as Lean, ISO9001 and Improvement Team. Four existing decision support tools were reviewed and compared. All four decision support tools consist of decision matrix, rating and ranking to assist in selecting appropriate improvement initiative. Finally, several potential future studies have been proposed

Consolidation of water management and efficiency parameters for development of green building rating system

Water generation and distribution involve activities that leads to energy consumptions in various ways. This leads to GHG emission which make it important for various sustainable development assessment. Hence it is important to develop some consolidated parameters to cover water in building life cycle assessment (LCA). Development of rating system involves the utilisation of some parameters and points allocation. These parameters and points allocation varies between countries and their rating systems. This study aim at reviewing water management and efficiency category and the extent of parameters and points allocation across some rating systems. The purpose of the review is to develop a consolidated parameters that will universally cover building life cycle assessment. Eleven rating scheme’s categories, parameters and points allocation were reviewed. Specifically, water generation, distribution and usage was further elaborated for this study. The parameters were reviewed from the context of their, adaptability, preference, prevalence, relevance and measurability of parameter to suit the universal concept of sustainable building assessment. The review shows that the variations of the parameters and points distribution are based on social, economic and environmental need of the country. The highest parameters and points allocation signifies the need of efficient water generation, distribution and usage and lack of enough fresh water for daily activities. The lowest consideration is due to advancement in sustainable water generation, distribution and usage. The study consolidated the parameters in to nine parameters covering the strategies for reducing unnecessary water usage and other sourcing consequences. They also cover the approximate accounting of GHG emission from water consumption and its reduction. The study can be used by researcher, organisations and countries developing rating schemes. As the study harmonised parameters covered the entire sustainable building and greenhouse gas assessment in term of water generation, distribution and usage

The knowledge domain of chain and network science

This editorial paper aims to provide a framework to categorise and evaluate the domain of Chain and Network Science (CNS), and to provide an envelope for the research and management agenda. The authors strongly feel that although considerable progress has been made over the past couple of years in the development of the CNS domain, a number of important and exciting challenges are still waiting to be tackled. This paper provides a definition of the object of study of CNS, its central problem area, the organisation and governance of chain and network co-operation, and the relationships between chain organisation and technology development, market dynamics, and the economy and society at large. It indicates relevant sources of knowledge among the various academic disciplines. It touches upon CNS problem solving by identifying areas for knowledge development and CNS tool construction

Is slower early growth beneficial for long-term cardiovascular health?

Background - Accelerated neonatal growth increases the later propensity to cardiovascular disease (CVD) in animals, whereas slower growth is thought to have a beneficial effect. To test this hypothesis in humans, we measured flow-mediated endothelium-dependent dilation (FMD) in a population subject to slower early growth and in healthy controls.Methods and Results - High-resolution vascular ultrasound was used to measure the change in brachial artery diameter in response to reactive hyperemia in adolescents age 13 to 16 years who were either part of a cohort born preterm and followed up prospectively (n = 216) or controls born at term ( n = 61). Greater weight gain or linear growth in the first 2 weeks postnatally was associated with lower FMD at adolescence ( regression coefficient, - 0.026-mm change in mean arterial diameter per 100-g increase in weight; 95% CI, - 0.040 to - 0.012 mm; P = 0.0003) independent of birthweight and potential confounding factors. Mean FMD in the half of the preterm population with the lowest rates of early growth was higher than in both the half with the greatest growth ( P = 0.001) and subjects born at term ( P = 0.03).Conclusions - FMD was 4% lower in adolescents with the highest compared with the lowest rate of weight gain in the first 2 weeks after birth, a substantial negative effect similar to that for insulin-dependent diabetes mellitus or smoking in adults. Our findings are consistent with the adverse effects of accelerated neonatal growth on long-term cardiovascular health and suggest that postnatal growth patterns could explain the previously reported association between birthweight and later CVD