Direct and Indirect Exporting and Productivity: Evidence from Firm‐Level Data

This paper examines the separate productive impacts of direct and indirect exporting to further our understanding of the mechanisms underlying learning‐by‐exporting effects by utilizing a method that allows us to check the robustness of the results to the selection on unobservables. We found that the productivity effects of exporting are mainly associated with direct exporting, indicating that knowledge spillover, and thus, productive impact of exporting grows with increased interaction with international firms and consumers. Indirect exporters are unlikely to be able to efficiently exploit the productive capacity of foreign technology and knowledge. Copyright © 2013 John Wiley & Sons, Ltd.     

An importance–performance analysis of sustainability factors for long-term strategy planning in Slovenian hotels

This paper explores the potential role of economic, environmental and social reporting in long-term strategy planning in the hospitality industry. The context of study is Slovenia. Following the development of a set of “sustainability” indicators, hospitality managers were asked to rate the importance of each indicator to sustainable operations and the performance of their firms in implementing management actions. Seven hotel performance factors were established across the triple bottom line. Using importance–performance analysis (IPA), key issues are identified as requiring the attention of stakeholders to support the sustainable development of Slovenia's hospitality industry. For managers, the 10 most important indicators include those related to economic performance, customer relationship and cost saving environmental activities: performance here, and in marketing, was perceived as poor. In contrast, actions taken to increase environmental awareness, and improve relationships with employees are seen by managers as less important, and even as possible overkills. Community relationships are seen as of low importance and where the industry performs relatively poorly. A major recommendation is that Slovenian hotel managers should focus on improving their economic performance: neglecting this could threaten hotels’ long-term survival. IPA analysis is shown as applicable to strategy making for sustainable development in hospitality industry contexts worldwide.     

Changing institutional logics: shifting to a new service model in the Finnish public sector

ABSTRACT

This paper describes the implementation of corporatized shared services (CSS) in Finnish municipalities and the shift of operating logics. The diffusion of the new logics gradually proceeded to two levels: the individual level and the collective level. At the individual level, identity and cognitive skills were important to the diffusion of the new logics. At the collective level, shared services encouraged managers and employees to share not only practical experiences, but also collective identity.     

Supply chain risk: empirical research in the automotive industry

Supply chain risk management (SCRM) has become a popular topic over the past decade. It is not a surprise that the automotive industry has been a motivating arena for research within this field; however, the few existing empirical studies reveal that SCRM practices within this industry are still in their infancy. Because the identification of risks can be viewed as the trigger for SCRM, attempts to develop a risk profile for this industry that could serve as a guide to start the SCRM process are needed. This research identifies the main risks along the automotive supply chain by investigating their manifestation in three supply chains in Brazil and offers an initial risk profile for the Brazilian automotive industry. Although the importance of SCRM has been recognised by all analysed companies, the research findings underline the lack of preparedness regarding either identifying risk or considering risk-mitigation strategies and risk assessment. In this context, this study identifies the main risk in which a supply chain can be exposed, through the analysis of real-life manifested risks along different supply chains, as a way to help the supply chain start a SCRM process.     

Size and Foreign Ownership Effects on Productivity and Efficiency: An Analysis of Turkish Motor Vehicle and Parts Plants

The levels and interactions of foreign connections and size may be important determinants of plant productivity and efficiency, particularly in a developing country such as Turkey. We explore the productive contributions of foreign ownership (FDI), emphasizing its linkages with plant size and input composition, for plants in the Turkish motor vehicle and parts industry. We evaluate the implications of FDI for overall productivity, input-specific contributions, and returns to scale, using OLS, stochastic production frontier, and quantile (size-specific) regression estimates of a translog production function model. We find significantly higher productivity of plants with foreign ownership, driven by a higher marginal product of labor, particularly for smaller plants. This effect augments the productive contributions of technical progress, capital intensity, and increasing returns to scale. FDI is also associated with a greater productive contribution of imported capital investment.     

Feasible fraud and auditing probabilities for insurance companies and policyholders

Insurance claims fraud is counted among the major concerns in the insurance industry, the reason being that excess payments due to fraudulent claims account for a large percentage of the total payments each year. We formulate optimization problems from the insurance company as well as the policyholder perspective based on a costly state verification approach. In this setting??while the policyholder observes his losses privately??the insurance company can decide to verify the truthfulness of incoming claims at some cost. We show simulation results illustrating the agreement range which is characterized by all valid fraud and auditing probability combinations both stakeholders are willing to accept. Furthermore, we present the impact of different valid probability combinations on the insurance company??s and the policyholder??s objective quantities and analyze the sensitivity of the agreement range with respect to a relevant input parameter. This contribution summarizes the major findings of a working paper written by Müller et?al. (Working Papers on Risk Management and Insurance (IVW-HSG), No. 92, 2011).     

Bottom-up or direct? Forecasting German GDP in a data-rich environment

In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.