It Won't Fit! For Innovative Products,Sometimes That's for the Best

The degree of overlap (i.e., fit) between product development organizations' resources and the product development projects pursued has powerful performance implications. Drawing on organizational learning theory and the resource‐based view, this research conceptualizes and empirically tests the interrelationships between the levels of fit, innovativeness, speed to market, and financial new product performance. After reviewing the research literature relevant to resource fit and new product performance, the level of innovativeness is posited to be an important moderating and mediating factor, which is validated by analysis of data gathered from 279 product developing firms. Technological fit has a negative direct effect on both technological and market innovativeness, while the use of existing marketing resources (i.e., a high degree of marketing fit) positively impacts technological innovativeness. This suggests, consistent with findings from market orientation research, that a deep, long‐held customer understanding can promote technological innovativeness. The moderating hypotheses proposed are also well supported: First, a high degree of marketing fit has a more positive impact on performance for market innovative products (e.g., products which address a new target market or use a nontraditional channel for the firm). Drawing on a deep customer understanding is more critical to performance for market innovative products. Conversely, the benefits of marketing fit are limited where market innovativeness is lacking. Interestingly, the counterpart moderating role of technological innovativeness on technological fit's performance effect is not significant; the level of technological innovativeness does not significantly impact the performance impact of technological fit. There are also significant moderating effects across dimensions. Our results show that the financial benefit of using existing marketing resources is lessened for technologically innovative products. Technological innovations necessitate drastic adaptation of marketing resources (i.e., channel and brand); firms drawing only on existing marketing resources for a technologically innovative new product will incur reduced profit. Similarly, the positive implications of using existing technological resources are limited for products which are highly market innovative. Generally, resource fit is seen to have an (oft‐overlooked) dark side in product development, though several of our findings suggest that marketing resources are more flexible than are technological resources.     

Budget Forecast Deviations in Municipal Governments: Determinants and Implications

This paper analyses the determinants of municipalities’ budget forecast quality, showing opportunistic behaviour influenced by the electoral cycle. Incumbents overestimate revenue to spend more and underestimate expenditure in the quest for popularity and electoral support. Our results suggest that the budget forecast procedure should be made transparent and externally audited or monitored.     

Internationalisation speed and technological patterns: A panel data study on Spanish SMEs

The last ten years has seen a proliferation of works attempting to explain why some firms internationalise rapidly, rather than following a sequential process. Many of these works have focused on the role of technology as the driving force behind the phenomenon. Following this argument, this work studies the effect that different technological patterns have on firms' internationalisation speed. In order to observe this effect, a sample of 945 SMEs was used over a 17-year period (1990–2006). By undertaking a micro-level analysis, we explain the possible effect of sectoral technological intensity on internationalisation speed, observing significant differences between technology-intensive and non-intensive sectors, and identify which technological parameters have a greater effect on the acceleration of internationalisation in each of these sectors.     

The effect of output specification on the optimal policy design for electric utilities

We show that the manner in which the production process is seen when analyzing data on electricity production has an impact on the policy conclusions. In particular, we show that the different specifications of output found in the literature can generate quite diverse views regarding regulation and optimal industry structure, even when using the same data to estimate a cost function. To illustrate this we use information gathered from the Spanish Electric Industry and analyze electricity activities following three approaches: the traditional aggregate activity view, the multistage model and the multioutput-multistage approach. We estimate the degree of economies of scale S and derive marginal costs for all models, plus economies of vertical integration (EVI) for the last two ones. Then we compare these results and verify that the aggregate analysis can mislead policymaking.     

Analyzing the Market for Imported Cheese in Mexico

Rapid growth of U.S. dairy exports to Mexico began even before the 1994 North American Free Trade Agreement (NAFTA) and has been fueled by rapid population increases coupled with an expanding Mexican economy. This study uses a nonlinear approximate almost ideal demand system (NLAIDS) to estimate own and cross-price elasticities in the Mexican cheese import market to better understand market behavior and to assess the comparative position of the UnitedStates relative to other cheese market participants. Results of this study imply that attributes of cheese play a strong role in the composition of Mexican cheese import market.     

Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables

Given that the use of Likert scales is increasingly common in the field of social research it is necessary to determine which methodology is the most suitable for analysing the data obtained; although, given the categorization of these scales, the results should be treated as ordinal data it is often the case that they are analysed using techniques designed for cardinal measures. One of the most widely used techniques for studying the construct validity of data is factor analysis, whether exploratory or confirmatory, and this method uses correlation matrices (generally Pearson) to obtain factor solutions. In this context, and by means of simulation studies, we aim to illustrate the advantages of using polychoric rather than Pearson correlations, taking into account that the latter require quantitative variables measured in intervals, and that the relationship between these variables has to be monotonic. The results show that the solutions obtained using polychoric correlations provide a more accurate reproduction of the measurement model used to generate the data.     

Linear SAM models for inequality changes analysis: an application to the Extremadurian economy

Social accounting matrices are adequate databases for the economic modelling. These matrices emphasize the role of households in the economy, and so, they usually disaggregate the household sector into several groups. This disaggregation allows social accounting matrices to be used for diverse income distribution analysis. The objective of this work is to use the linear SAM models to study how inequality is modified by several exogenous injections of income. The set of multipliers and indicators presented is applied to the economy of Extremadura – a region situated in the southwest of Spain. In particular, together with the accounting multipliers, two redistributed income matrices are presented to show how changes in final demand and in income transfers cause opposite effects in inequality. For contrasting these results, Gini and Theil indices are also used. Finally, a major reduction in both would result from an appropriate re-allocation of transfers.     

How former business owners fare in the labor market? Job assignment and earnings

This study uses detailed longitudinal matched employer–employee data to examine the impact of entrepreneurial experience on job assignments, careers, and wages. The results suggest that there are significant differences in career mobility between former business owners and workers who were always wage employees. Former business owners enter firms at higher job levels and progress faster up the hierarchy than wage employees without entrepreneurial experience. The majority of the former business owners find jobs in small firms. The return to business ownership experience is lower than the return to wage employee experience, thus suggesting that the labor market imposes a penalty for business ownership experience.     

International transatlantic trade liberalization: zooming in on regional impacts

The current study analyses the impact on a Portuguese small island regional economy of the Transatlantic Trade and Investment Partnership (T-TIP) between the EU and the USA. A dynamic Computational General Equilibrium (CGE) model detailing six household categories, 45 sectors, and four trading partners is used. Previous studies used aggregate variables and, largely, were based on the structure of the national economy. For a small, integrated economy, foreign trade statistics comprise an underestimation, given that most of the trade occurs through national logistics centres. Taking into account the national integration effects, gross domestic value was estimated to be higher than in other studies. Using equivalent variation, the estimated welfare impact is positive for all six household categories. Value-added suffers mixed impacts depending on the sector. It is negative for fisheries, ambiguous for agriculture and positive for tourism and transportation. The contribution of the current study is to highlight the importance of looking beneath the trade block and national conclusions particularly when regional economic policy is relevant as is the case in Europe. Better knowledge of welfare, regional and sector impacts allows for improved development and mitigation policies.     

Habit Formation, Catching Up with the Joneses, and Economic Growth

Our objective is to investigate how alternative assumptions about preferences affect the process of economic growth. To do this, we analyze a neoclassical growth model under three alternative preference specifications: (i) time separable, (ii) catching up with the Joneses, and (iii) habit formation. Departing from the time separable specification leads to important differences in the dynamic structure, the adjustment path followed by key economic variables, the correlation patterns implied by the time series generated by the model, and the speed of convergence to the new steady state. In the catching up with the Joneses economy the differences arise from a consumption externality, while in the habit formation economy the difference arises from the fact that agents not only smooth consumption but also its rate of change.