The World Is Not Enough! Small Open Economies and Regional Dependence

In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables.     

What Drives Oil Prices? Emerging Versus Developed Economies

We explore the role of demand from emerging and developed economies as drivers of the real price of oil. Using a FAVAR model that identifies shocks from different regions of the world, we find that demand from emerging economies (most notably from Asian countries) is more than twice as important as demand from developed countries in accounting for the fluctuations in the real oil price and in oil production. Furthermore, geographical regions respond differently to adverse oil market shocks that drive up oil prices, with Europe and North America being more negatively affected than countries in Asia and South America. Copyright © 2014 John Wiley & Sons, Ltd.     

Antecedents to customer satisfaction with financial services: The moderating effects of the Need to Evaluate

In this study, we examine how the personality trait Need to Evaluate (NES) moderates the effects benevolence, image and service quality have on customer satisfaction. We initially establish a theoretically derived baseline model of causes to customer satisfaction, and then argue how these effects should be moderated by NES. Based on a survey of retail banking customers, the hypothesised effects are tested by means of two-group analysis, and we find that the effects differ dependent of the NES levels of the consumers. The results are then discussed and their implications briefly offered.     

The Effect of Founding Family Influence on Firm Value and Corporate Governance

We examined a sample of 120 Norwegian, founding family controlled and non‐founding family controlled firms, to address two important research questions: (1) is founding family control associated with higher firm value; and (2) are there unique corporate governance conditions under which a founding family controlled firm can be more valuable? We find a positive association between founding family control and firm value for four alternative definitions of founding family control. We find that the association between founding family CEOs and firm value is stronger among younger firms, firms with smaller boards, and firms with a single class of shares. However, the impact of founding family directors on firm value is not affected by corporate governance conditions such as firm age, board independence, and number of share classes. We also find that the relation between founding family ownership and firm value is greater among older firms, firms with larger boards, and particularly when these firms have multiple classes of shares. Our results imply that founding family controlled firms are more valuable and governed differently than firms without such influence. Furthermore, our results also suggest that founding family CEOs can enhance firm performance when family influence does not create shareholder entrenchment or when their cash flow rights are more aligned with their control rights.     

Risk communication and worried publics in an imminent rockslide and tsunami situation

In this paper determinants of adequate worry were studied in the case of an impending rockslide and tsunami in the fjords around Åknes on the west coast of Norway. Approximately 3000 people live in this danger zone. A rockslide may cause up to 54 million cubic metres (1.9 billion cubic feet) of rock to slide into the fjord below, causing a major tsunami. In relation to risk communication, the study sought insights into the determinants of adequate worry in this certain, but time-indeterminate, natural disaster. A questionnaire designed to measure the public’s ‘otte’, a parochial Norwegian expression translated as a nagging worry about the rockslide, was mailed to all 875 inhabitants aged 18?years and older in the four small communities along the fjord; 382 responded (43.6%). The results indicated that members of the public who had trust in the experts and engaged in dialogue with them tended to worry more than others. Those who reported concerns about issues unrelated to the disaster tended to worry less about a possible rockslide. Analyses also revealed that those who lived in a community with extraordinary assets worried the most. Compliance with the evacuation procedures and trust in the experts were positively correlated with the level of worry. In order to address the needs of the public, this study suggests that not only are facts and figures about risk important but also issues that address the worries of the public. Implications for risk communication are discussed.     

Differential Effects of the Primary Forms of Cross Functional Integration on Product Development Cycle Time

In markets characterized by high rates of technological and market change product life cycles tend to be shorter, resulting in the increased importance of competing on the basis of product development cycle time. For firms operating in these dynamic market environments, competing on the basis of cycle time may not only be a source of competitive advantage, but in some industries may actually be essential for survival.
In this investigation the relative importance of five forms of cross functional integration and R&D integration of information or knowledge from past projects were explored in terms of their effects on product development cycle time. The five forms of cross functional integration included R&D/marketing integration, R&D/customer integration, R&D/manufacturing integration, R&D/supplier integration, and strategic partnerships. A sample of 65 U.S. and Scandinavian high technology firms (or strategic business units) were studied. The sample included firms from the computer, telecommunications, instruments, specialty chemicals, biotechnology, and software industries.
The results demonstrated that R&D integration of knowledge from past projects explained the largest degree of variation in product development cycle time. R&D/marketing integration and R&D/customer integration explained the next largest degree of variation in cycle time reduction. Cross cultural generalizability tests demonstrated that the results were generalizable across the U.S. and Scandinavian samples of firms. In addition, the results were found to be generalizable across industry or product category for five of the six forms of integration.     

Density Forecasts With Midas Models

We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed‐data sampling (MIDAS) regressions. First, Monte Carlo simulations show that predictive densities for the various MIDAS models derived from the block wild bootstrap approach are more accurate in terms of coverage rates than predictive densities derived from either a residual‐based bootstrap approach or by drawing errors from a normal distribution. This result holds whether the data‐generating errors are normally independently distributed, serially correlated, heteroskedastic or a mixture of normal distributions. Second, we evaluate density forecasts for quarterly US real output growth in an empirical exercise, exploiting information from typical monthly and weekly series. We show that the block wild bootstrapping approach, applied to the various MIDAS regressions, produces predictive densities for US real output growth that are well calibrated. Moreover, relative accuracy, measured in terms of the logarithmic score, improves for the various MIDAS specifications as more information becomes available. Copyright © 2016 John Wiley & Sons, Ltd.     

Management Practices Influencing New Product Success and Failure in the United States and Scandinavia: A Cross-Cultural Comparative Study

This comparative cross-cultural study of United States (U.S.) and Scandinavian telecommunications products found both similarities and differences in the successful new product development (NPD) management practices within the U.S. and Scandinavia. Proficiencies in conducting development, marketing, and customer service activities were identified as important to NPD success in both Scandinavia and the U.S. However, differences between the U.S. and Scandinavia were found with regard to the importance of research and development/marketing integration and project manager competency, with these aspects being more important to NPD success in the U.S. Additional differences between Scandinavia and the U.S. were found in the successful NPD strategies for entering familiar versus unfamiliar markets, with the Scandinavian systems being more oriented toward product design strategies. The overall results characterized U.S. NPD management systems as product-market oriented, task focused, and project management driven. By comparison, the Scandinavian NPD management systems were characterized as product-service oriented, driven by enduring interpersonal relationships and socially oriented to helping others. These characterizations were found to be consistent with dissimilarities in the national cultures of the U.S. and Scandinavia, suggesting that some core NPD management principles may be generally important to success, whereas others may be culturally dependent. The importance of recognizing these differences is pointed out in a discussion of their implications for NPD theory and practice in today's global economy. © 1999 Elsevier Science Inc.     

Estimating the output gap in real time: A factor model approach

By using a dynamic factor model, we can substantially improve the reliability of real-time output gap estimates for the U.S. economy. First, we use a factor model to extract a series for the common component in GDP from a large panel of monthly real-time macroeconomic variables. This series is immune to revisions to the extent that revisions are due to unbiased measurement errors or idiosyncratic news. Second, our model is able to handle the unbalanced arrival of the data. This yields favorable nowcasting properties and thus starting conditions for the filtering of data into a trend and deviations from a trend. Combined with the method of augmenting data with forecasts prior to filtering, this greatly reduces the end-of-sample imprecision in the gap estimate. The increased precision has economic importance for real-time policy decisions and improves real-time inflation forecasts.