Policy Determinants of School Outcomes under Model Uncertainty: Evidence from South Africa

In this paper, we assess the determinants of secondary school outcomes in South Africa. We use Bayesian model averaging techniques to account for uncertainty in the set of underlying factors that are chosen among a very large pool of explanatory variables in order to identify the subset of explanatory variables most strongly associated with the dependent variable. Our analysis indicates that the socio‐economic background of pupils, demographic characteristics such as population groups (Black and White), as well as geographical locations account for a significant variation in pupils’ achievement levels. We also find that the most robust policy determinants of pupils’ test scores are the availability of a library at school, the use of IT in the classroom as well as school climate.     

Synthesizing R&D planning and business strategy: some preliminary findings

The need for firms to compete in the longer run by offering superior products at competitive prices requires better integration of R&D, and technology in general, into business strategy development. A survey based on personal interviews of 40 respondents from “Fortune 500” U. S. industrial firms reveals that their shift in emphasis toward new product/process R&D is providing the impetus for placing R&D in a strategic context. However, R&D has not been fully integrated into the strategic planning process of many organizations. The results of the survey reveal that certain communication channels can be more fully utilized to meld R&D planning into business strategy. Specific suggestions to facilitate information exchange, dissemination of planning data, and integration of various R&D plans into a cohesive technology strategy are given.     

Exploring a Measurement of Analytics Capabilities

Changes in the volume and velocity of data have led many organizations to consider assessing and improving analytics capabilities. The purpose of this research is to describe a methodology developed to assess organizations’ analytics capabilities and explore the empirical value of data collected using this methodology. The measurement for analytics capabilities was developed by IBM during 2009–11 marketing efforts. To assess the data’s empirical value, we investigate whether measurements of analytics capabilities are internally consistent, associated with decisions to invest in analytics software and hardware, and able to explain firm profitability. In analyzing consistency, we find a natural sequence in the development of analytics capabilities. Exploring decisions to invest in analytics, we discover that firms with higher levels of capabilities are more likely to invest, as are firms that are larger and located in more profitable industries. However, we find no relationship between analytics capabilities and firm profitability.     

Synthesizing R&D planning and business strategy: some preliminary findings

The need for firms to compete in the longer run by offering superior products at competitive prices requires better integration of R&D, and technology in general, into business strategy development. A survey based on personal interviews of 40 respondents from "Fortune 500" U. S. industrial firms reveals that their shift in emphasis toward new product/process R&D is providing the impetus for placing R&D in a strategic context. However, R&D has not been fully integrated into the strategic planning process of many organizations. The results of the survey reveal that certain communication channels can be more fully utilized to meld R&D planning into business strategy. Specific suggestions to facilitate information exchange, dissemination of planning data, and integration of various R&D plans into a cohesive technology strategy are given.     

What’s behind organic certification of extra-virgin olive oil? A response from Italian consumers

Organic certification represents a growing business in international food market. In this article, an analysis of the factors influencing the purchase of organic extra-virgin olive oil is done for Italian consumers. A k-means cluster analysis was used to identify market segments. Results showed that it is possible to classify the Italian market into three clusters, respectively, indicating high, intermediate, and low willingness to pay a premium price (WTP) for organic certification of extra-virgin olive oil. Safety, nutritional, and health aspects appear to influence WTP. Factors concerning environmental sustainability and the supports to Italian food system are considered important, but do not play a fundamental role in increasing the consumer’s WTP.     

Alternative methods for waste paper disposal

The purpose of this paper is to develop an analytic model which can be applied to the disposal of various components of municipal waste. Utilizing data from the City of Philadelphia, this paper examines the generators of used newsprint; the interactions between incineration, landfill, and the beneficial extraction of the caloric content of paper for steam generation: and the feasibility of recycling. The social cost issue is considered in light of present City disposal practices Finally, an attempt is made to derive optimal collection and disposal policies for FY 1976 as functions of various model parameters. The paper concludes that the construction of a steam generation plant is a viable alternative to present disposal practices for a range of processing costs.     

Absorptive capacity and R&;D tax policy: Are in-house and external contract R&;D substitutes or complements?

Firms fund research and development (R&;D) to generate commercializable innovations and to increase their ability to understand and absorb knowledge from elsewhere. This dual role and opposed incentive structure of internal R&;D create a significant question for both theory and R&;D policy: Is internal R&;D a complement or substitute for external R&;D? We develop a model and novel technique for empirically estimating R&;D substitution elasticities. We focus on bio-pharmaceutical and software industries in California and Massachusetts, where tax credit rates changed differently over time for the two types of R&;D, creating a natural experiment. The effective tax prices for the two R&;D types differ from type to type, firm to firm, state to state, and year to year. This allows us to examine changes in the composition of firms’ R&;D budgets between in-house R&;D and external basic research when the relative tax prices of each category of research change. We find evidence of a substitute relationship both for a sample comprising exclusively small firms as well as for a more general distribution of firm sizes.     

Insights on CFOs’ Perceptions about Impairment Testing Under IAS 36

We survey CFOs of Italian listed companies and examine their views on the complexities involved in implementing IAS 36 requirements and the perceived usefulness of national guidelines aiming at assisting preparers in this respect. We find that IAS 36 is perceived as an atypical standard among IFRS, it demands subjective interpretation, its requirements can be made adaptable to managerial needs and do not limit creative accounting. Further, respondents do not see a strong link between IAS 36 disclosure requirements and market variables, except for stock returns. Moreover, the impairment testing process became more difficult during the recent financial crisis and guidelines issued by the Italian authorities do not appear to assist in implementing the recoverable amount estimation process or compliance with mandatory disclosure. The respondents explicitly call for a revision in IAS 36 and/or issuance of separate guidance. These findings inter alia respond directly to the IASB’s current quest on financial statements preparers’ concerns about the application of the IAS 36 requirements.