Capital Budgeting Practices for R&D: A Survey and Analysis of Business Week's R&D Scoreboard

This paper discusses results of a survey of U.S. Corporations regarding the extent of the utilization of standard capital budgeting measures of investment worth to evaluate R&D projects. This study analyzes responses by three types of R&D activity: Basic, Applied and Development research. The results indicate that discounted cash flow methods are widely utilized in the evaluation of Development projects, and the analysis of Development projects is as sophisticated as the evaluation of non-R&D projects. The use of discounted cash flow analysis techniques for Applied projects is considerably less widespread than for Development projects. However, the utilization of Net Present Value and Internal Rate of Return increases with firm size. Basic research projects are much less likely to be subjected to a formal economic analysis and are generally thought of as being “strategic” investments. This research also indicates that post-audits of Applied and Development projects are based on economic measures, whereas Basic research projects focus on physical or operational goals. Lastly, this research indicates that most R&D projects are terminated because R&D priorities have changed rather than because they are not technically feasible.     

Public sector Pay: From experiment to permanent change

Human resource management in the public sector is a rapidly changing scene, and nowhere more so than in the area of pay. How are we managing the conflicting demands of reducing costs and getting the best performance out of people?     

Analysis of the complexity of writing used in accounting textbooks over the past 100 years

The Accounting Education Change Commission (AECC) and the large international accounting firms have all emphasized that accountants must be able to work with unstructured problems to be successful in today's business environment. Measures of this ability are essential if accounting educators are to assist students in improving their abilities to work with unstructured problems. However, there appears to be no measure that has been widely accepted as being the ‘best’ measure. This study considers whether two linguistic performance measures might be usable by accounting educators for this purpose. We use data obtained from a student assessment centre to consider two measures of linguistic performance, idea density and grammatical complexity. We incorporate five criteria in deciding whether these measures could be usable: (1) whether the measures are related to students' performance when solving unstructured problems; (2) whether the measures distinguish between the ability to work with unstructured compared to structured problems; (3) ease of obtaining necessary information from students; (4) ease of scoring, and (5) robustness of the findings after considering other variables that may have an effect. Our results indicate that subjects' linguistic performance as measured by idea density meets these five criteria. However, grammatical complexity is not related to performance for either type of problem. These results were found even after controlling for the effects of other variables such as grade point average (GPA), experience, and personality variables. Because the measures can be obtained from virtually any written work produced by students, the information to be scored is relatively easy to obtain. Scoring is also relatively straightforward.     

Hunting High and Low for Vertical FDI

Recently the horizontal and vertical models of foreign direct investment (FDI) have been synthesized into the knowledge‐capital (KK) model. Empirical tests, however, find that the horizontal model cannot be rejected in favor of the KK model. I suggest this is because the empirical specifications are too restrictive for vertical FDI to manifest itself. Using an alternative specification, I find evidence of vertical FDI. In particular, when I use the stock of FDI I can reject the horizontal model in favor of the knowledge‐capital model and identify countries for which FDI is dominated by vertical investment.     

Literature-related discovery (LRD): Lessons learned, and future research directions

Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The open discovery systems (ODS) component of LRD starts with a problem to be solved, and generates solutions to that problem through potential discovery. We have been using ODS LRD to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications. The five immediately preceding papers in this Special Issue describe the application of ODS LRD to Raynaud's Phenomenon (RP), cataracts, Parkinson's Disease (PD), Multiple Sclerosis (MS), and Water Purification (WP). We describe the lessons learned from each application, and how the techniques can be improved further.Generation of much potential discovery using ODS LRD is possible when the conceptual roadblocks to discovery are removed. Some of these roadblocks include use of numerical filters that are unrelated to generating discovery, and excessive reliance on literatures directly related to the problem literature of interest. The issue of how to handle large amounts of potential discovery has not been addressed in the literature, since most ODS LRD researchers have tried to find a relatively few potential discovery items. We present a development strategy that capitalizes on the large amounts of potential discovery we have identified.     

Trade Costs,Trade Balances and Current Accounts: An Application of Gravity to Multilateral Trade

In this paper we test the well-known hypothesis of Obstfeld and Rogoff (NBER Macroeconomics Annual 7777:339–390, 2000) that trade costs are the key to explaining the so-called Feldstein–Horioka puzzle. Our approach has a number of novel features. First, we focus on the interrelationship between trade costs, the trade account and the Feldstein–Horioka puzzle. Second, we use the gravity model to estimate the effect of trade costs on bilateral trade and, third, we show how bilateral trade can be used to draw inferences about desired trade balances and desired intertemporal trade. Our econometric results provide strong support for the Obstfeld and Rogoff hypothesis and we are also able to reconcile our results with the so-called home bias puzzle.

Exploring the nexus between tourism,remittances and growth in Kenya

Recently there has been a surge in remittances inflow to Kenya while tourism receipts appears to be declining, albeit gradually. In light of these developments, the paper explores the plausible effects of tourism and remittances on per worker output. We use the annual data over 1978–2010 periods and the ARDL bounds approach within the augmented (Solow in Q J Econ 70:65–94, 1956) framework. The regression results show that tourism has a marginal net negative effect in the short-run however positive effect in the long-run. Remittances, on the other hand, have a net positive effect in short-run and negative effect in the long-run. The key results from the Toda–Yamamoto Granger non-causality (Toda and Yamamoto in J Econom 66:225–250, 1995) results show a unidirectional causation from remittances to output per worker; and from output per worker to tourism. A unidirectional ‘combined effect’ of all variables causing output and remittances, respectively are evident as well. Conclusively, tourism is one of the leading drivers of Kenyan economy. To boost gains from tourism, the sector needs to align policies to the Kenya 2030 strategic framework with significant focus on expanding markets, boosting investment, and growth. Remittances market need to be further developed strategically with the view to improving Kenyan migrant led growth initiatives with plausible links to tourism development.     

Gender pairing and bargaining—Beware the same sex!

We study the influence of gender and gender pairing on economic decision making in an experimental two-person bargaining game where the other party’s gender is known to both actors. We find that (1) gender per se has no significant effect on behavior, whereas (2) gender pairing systematically affects behavior. In particular, we observe much more competition and retaliation and, thus, lower efficiency when the bargaining partners have the same gender than when they have the opposite gender. These findings are consistent with predictions from evolutionary psychology. Implications of our results for real-world organizations are discussed.     

A macroeconomic model of direct investment in foreign affiliates of Japanese firms

This paper analyses the operations of the Japanese multinational corporations in the world economy by constructing and estimating a Japanese foreign direct investment system. This system models the determinants of manufacturing foreign direct investment (FDI), the trade between Japan and her overseas affiliates as well as the sales of the manufacturing subsidiaries and those of the trading subsidiaries. The error-correction modelling techniques are adopted for estimation in order to capture both the short- and long-run adjustment processes. Finally, simulations are conducted on the model to analyse the effects of changes in the world economy.     

Performance Implications of Online Entry Timing by Store-Based Retailers: A Longitudinal Investigation

This paper utilizes Time Series Cross-Sectional (TSCS) Regression techniques to investigate long-term performance effects of the timing of online sales adoption by incumbent bricks-and-mortar retailers. Its findings support the resource-based theory of competitive advantage by showing that firm-specific resource endowments (bricks-and-mortar experience, catalog experience and firm size) determine the success of the order of online entry strategy. The study contributes to the development of strategic theory in the areas of multi-channel retailing and electronic commerce and assists managers in formulating more informed strategic objectives for achieving multi-channel competitive advantage.