Building an active semantic data warehouse for precision dairy farming

ABSTRACT

Digitalization of agricultural technology has led to the emergence of precision dairy farming, which strives for the simultaneous improvement of productivity as well as animal well-being in dairy farming through advanced use of technology such as movement sensors and milking parlors to monitor, control, and improve dairy production processes. The data warehouse serves as the appropriate technology for effective and efficient data management, which is paramount to the success of precision dairy farming. This paper presents a joint effort between industry and academia on the experimental development of an active semantic data warehouse to support business intelligence and business analytics in precision dairy farming. The research follows an action research approach, deriving lessons for theory and practice from a set of actions taken in the course of the project. Among these actions are the development of a loading stage to facilitate data integration, the definition of an analysis view as well as the introduction of semantic OLAP patterns to facilitate analysis, and analysis rules to automate periodic analyses. The large volumes of generated sensor data in precision dairy farming required careful decision-making concerning the appropriate level of detail of the data stored in the data warehouse. Semantic technologies played a key role in rendering analysis accessible to end users.     

The Evolution of an Intellectual Community Through the Words of Its Founders: Recollections of Australia's Economic History Field

Analysing the dynamic evolution of a scholarly field requires an understanding of the social interactions within its community as well as the impact of the written word. Influence might diffuse through mentoring, graduate supervision, seminar discussion, and management roles. To date, our knowledge of the growth of economic history in Australia after 1945 draws heavily upon the impact of a number of key publications. We interview a broad selection of academics who worked in the field of Australian economic history, approximately 1950–90, to provide a fuller understanding of the evolution of this interdisciplinary field. Our results confirm, complement and, in some cases, challenge conventional views. © 2016 Economic History Society of Australia and New Zealand and John Wiley & Sons Australia, Ltd     

Sectoral Wage Rigidities and Labour and Product Market Institutions in the Euro Area

We estimate wage Phillips curve relationships between sectoral wage growth, unemployment and productivity in a country-industry panel of euro area countries. We find that institutional rigidities – such as labour and product market institutions and regulations – limit the adjustment of euro area wages to unemployment, in both upturns and downturns, particularly in manufacturing and, to a lesser extent, in the construction and service sectors. In addition, there are further limitations in the response of wages to changes in unemployment during economic downturns which suggests that euro area wages are also characterised by significant downward wage rigidities, especially in the manufacturing sector. These results are robust to specifications that account for factors that may affect structural unemployment (such as duration-dependent unemployment effects), as well as changes in the skill composition of employment that may affect the evolution of aggregate wages. The results also hold for panels including or excluding the public sector (where wages may be determined differently to the private sector also due to the effects of fiscal consolidation on public sector wages during the crisis). From a policy perspective, reforms in product and labour markets which reduce wage rigidities can facilitate employment growth and enhance the rebalancing process in the euro area.     

Cyclical comovements in energy-related venture capital investments

This article examines the cyclical comovements of venture capital investments in the energy sector and key macroeconomic variables. In particular, we decompose the cyclical component of two venture capital investment series (clean technology and industrial/energy) and several macroeconomic factors including oil prices. A number of important cyclical relationships are documented such as increases in crude oil prices tend to signal future venture capital investment in both energy-related sectors and these investments tend to move concurrently with movements in the overall economy     

Using PDA consistency checks to increase the precision of profits and sales measurement in panels

Personalized Digital Assistants (PDAs) and other forms of hardware needed to collect survey data electronically have become more affordable and powerful in recent years, leading to their use in a number of surveys in developing countries. Simple use of these devices can offer the prospect of more timely data entry and greater accuracy in guiding respondents through skip patterns. Further benefits are possible through the use of more complex consistency checks. We use PDAs to measure sales and profits for microenterprises, which are notoriously noisy. Consistency checks in the cross-section compare sales and profits, while those in the panel query responses which result in large changes from one period to the next. Cross-sectional checks also served as a second prompt in the case of missing profits. These checks do succeed in reducing the standard deviation and in increasing the correlation of the observations for which corrections are made. However, we find that the vast majority of large changes in enterprise sales and profits are confirmed by firm owners as genuine, highlighting the volatility of income in this sector. As a result, the overall impact of these consistency checks on the full sample is rather limited, suggesting that while such checks are useful if computerized forms of data collection are being used, the consistency checks per se are not a strong reason for using computerized data collection in collecting firm profits and sales.     

The effect of information sharing between lenders on access to credit,cost of credit,and loan performance – Evidence from a credit registry introduction

Using a rich dataset from a commercial bank in Albania, we utilize the introduction of a public credit registry by the Albanian central bank in January 2008 as a natural experiment to analyze the effect of information sharing between lenders on (1) access to credit, (2) cost of credit, and (3) loan performance. Our results suggest that information sharing by means of a credit registry does not affect access to or cost of credit, but improves loan performance. Specifically, loans granted after the introduction of the credit registry are 3% points less likely of turning problematic, representing a 35% reduction of the overall sample average arrear probability. We further find that the effect is more pronounced for repeat borrowers and in areas, where competition is weak. This indicates that information sharing among lenders improves loan performance mainly by disciplining borrowers to repay in their concern about future access to credit.     

Do Listed Banks have Higher Operating Efficiency and Output Efficiency?

This paper investigates the efficiency and productivity of listed and non‐listed banks in China by using the meta‐frontier and GMMPI methods. We find that the improvement in productivity of listed and non‐listed banks is mainly due to changes in technological efficiency. The difference between them is that the improvement of productivity of listed banks presents a typical technology‐driven feature, and changes in scale efficiency negatively affect productivity. The productivity of non‐listed banks shows scale efficiency driving features. The meta‐frontier efficiency of listed banks is significantly higher than the others. After decomposing the technology gap ratio, we find that the current production technology of the listed banks is closer to the potential production technology frontiers, and there is space for the non‐listed banks to improve their efficiency. Besides, the gaps between the true extent and the potential technological frontiers of both listed banks and non‐listed banks have converged.     

Customer participation in service recovery: a meta-analysis

Research on customer participation in service recovery is surging, yet empirical examinations provide mixed results. A meta-analysis of 30 independent samples reported in 21 studies (N?=?7872) shows that the effect sizes for the relationships between customer participation in service recovery and customer outcomes are rather weak. We also find that customer participation in service recovery has an indirect effect on satisfaction with service recovery via distributive justice and procedural justice, but not via interactional justice. Conversely, customer participation in service recovery has an indirect effect on overall satisfaction via distributive justice and interactional justice, but not via procedural justice. Finally, the effectiveness of customer participation in service recovery is stronger when customers participate in the outcome of the recovery and for customers with an Eastern cultural background, but weaker when additional compensation is offered and in online settings.     

Relative wage, child labor, and human capital

This paper analyses child labor and children's human capitalformation in response to the changes of the relative wage/productivitybetween child labor and adult labor. It implies that becausechildren's labor market participation raises the financial resourcesspent on their education, a small increase in child labor mayenhance children's human capital. It also shows that in a pooreconomy, the laws that punish or partially deter child labormay result in children working more and accumulating less humancapital.     

Pricing real growth options when the underlying assets have jump diffusion processes: the case of R&D investments

Numerous previous studies have demonstrated that research and development (R&D) investments can be evaluated by a real growth options approach. However, few studies have constructed evaluating models which consider the important R&D characteristics, including uncertainty regarding the project value, investment cost, and jump diffusion processes. The contribution of this study is not only to derive a model for evaluating R&D investments to conform to these key characteristics of R&D activities but also to build a real option pricing method that is more general than comparative important models, such as the theoretical papers of Black and Scholes (1973), Merton (1976), and Fischer (1978), and the application paper of Brach and Paxson (2001). This study also presents sensitivity analyses which illustrate the dynamic relationship between the real growth option value and the project value, investment cost, and main jump parameters. Hopefully, the results of this study can provide a useful reference for managers, and help them make better evaluations of R&D investments.