External cooperation and entrepreneurial orientation in industrial clusters

ABSTRACT

The aim of this paper is to examine the relationship between external cooperation and entrepreneurial orientation (EO). This relationship is explored in cluster environment, wherein entrepreneurial organizations compete and cooperate simultaneously to pursue opportunities. The following hypothesis is tested: External cooperation is positively correlated with entrepreneurial orientation. The hypothesis is tested with a correlation analysis on a sample of 77 small-sized enterprises operating in the Malopolska region in Poland, wherein several clusters are active. Additionally, the regression analysis is conducted to examine the associations between inter-organizational cooperation and EO dimensions. The findings confirm that external cooperation is positively correlated with EO. This observation is confronted with a pro-competitive approach that is a constitutional element of the entrepreneurship concept. Moreover, the findings show that the correlation between external cooperation and a firm’s performance is stronger than between some other EO dimensions and performance. Additionally, the findings show the important role of relationships between organizations and their clients. In the paper, several remarks for development of the theory are discussed, including the need for incorporating inter-organizational cooperation into a set of entrepreneurial traits and reflecting it in entrepreneurial orientation scales. The findings confirm the importance of that direction of theory development that focuses on inter-organizational collaboration in the context of entrepreneurship.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.     

An Introduction to the Issue of Consumer Law in South America

Journal of Consumer Policy - This Special Issue has a long history. It goes back to a conference in July 2017 organized by Cláudia Lima Marques in Porto Alegre Brazil, the first of the Center...     

Irrigation water productivity in Cambodian rice systems

Knowledge of the marginal productivity of water is crucial for decisions about its allocation between uses, which is particularly important in the context of increasing competition for water. Using primary, plot‐level panel data, this article estimates the marginal productivity of water from supplementary irrigation in lowland rice systems in Cambodia, taking into account farmer and plot heterogeneity as well as self‐selection of supplementary irrigation. Our estimates indicate a range of elasticities for rice output with respect to water inputs of between 0.057 and 0.069 for wet season production, substantially lower than previous estimates based on either aggregate or trial data. We discuss the policy implications of these results, in particular with respect to the utility of demand management policies and the challenges they pose to the decentralization of water management to Farmer Water Users Groups.     

Mix between Satisfaction and Attributes Destination Choice: A Segmentation Criterion to Understand the Ski Resorts Consumers

This study examined the attributes prioritized by tourists when choosing a winter sports destination and their degree of satisfaction with the services provided by Portugal's only ski resort. Two hundred tourists completed a questionnaire with factor analysis then deployed to extract the data that served as the basis for cluster analysis. Our results report discrepancies between the attributes valued by tourists when choosing winter sports destinations and their degree of satisfaction with the ski resort's services. Moreover, the combination between attributes/motivations prevailing in destination selection and the subsequent satisfaction with the services provided may generate information of relevance to evaluating organizational competitiveness. Copyright © 2014 John Wiley & Sons, Ltd.     

Managers and Wage Policies

Do individual top managers matter for wages and wage policies? Are there general differences in “style” among managers with respect to worker compensation? To shed light on these questions, we exploit a large panel dataset from Portugal that allows us to match workers, firms, and managers, and follow the movements of the latter across different firms over time. While accounting for the effect of worker and firm heterogeneity, we estimate the role of top manager fixed effects in determining wages and wage policies. The estimates suggest that (i) top managers have a significant influence on wages and wage policies; (ii) there exists different managerial “styles”; and (iii) managers’ (observable) attributes matter for worker compensation.     

The innovation performance of MNE subsidiaries and local embeddedness: evidence from an emerging economy

We examine the innovation performance of MNE subsidiaries and their embeddedness in sources of local knowledge in a policy framework within the context of an emerging economy. Based on first-hand evidence from multiple case studies, we found that: (1) there was variability between the subsidiaries in terms of the cumulative manner and speed at which they improved their innovation performance over time, using progressively levels of accumulated capability as a proxy; (2) these differences in innovation performance improvement reflected heterogeneity between the subsidiaries in terms of the learning efforts made to acquire knowledge from local organizations; (3) the varied frequency in which the subsidiaries developed such local relationships reflects their differing responses to a common industrial policy that makes use of tax incentives to stimulate such links. The paper reveals the limitations of this conventional type of industrial policy in stimulating industrial development and the embeddedness of MNEs. It also suggests that a new direction for policy, which incorporates public–private negotiations and a focus on the firm-centred building of innovation capabilities, should be pursued in order to accelerate the innovation performance progress of latecomer firms.