PurposeThe aim of this paper is to analyze the role of social capital on innovation through the analysis of the selective nature of network alliances in the tourism sector which is subject to a complex competition – cooperation context.Design/methodology/approachThe paper approximates social capital via active and purposeful engagement in network alliances and estimates several probit models in order to test for the effect of social capital on innovation activity using cross‐section tourism data for Greece.FindingsOverall results indicate that a firm's knowledge base is conducive to innovation activity. Nevertheless, the explanatory power of knowledge base variables weakens once the underlying social capital generation mechanisms are taken into consideration. The selective nature of network links is also evidenced.Research limitations/implicationsThe use of cross‐section data might be viewed as a limitation. Nevertheless, the robust methodological approach and the very satisfactory fit of the estimated econometric model allow for the findings to be a contribution in the field and a reliable comparison basis for future evidence.Practical implicationsThe study provides us with useful insights as regards the selective nature of network alliances and their effect upon the innovative activity of tourism firms. Also, the importance of such findings to managerial decision‐making processes is evident as firms are themselves responsible for participating in successful, high impact, network alliances.Originality/valueInnovation in tourism is a critical aspect of the sector's growth potential. Yet, research in tourism innovation and the factors that are conducive to innovation is rather limited. In that sense the paper makes a contribution to the existing body of knowledge.
Firms are acknowledged to be important actors involved in the deployment of resources available to a tourism destination. In turn, successful tourism firms can contribute to building the competitive advantage of tourism destinations through affecting a destination's tourism product or service. The present study analyses business performance in urban tourism using networks and entrepreneurial perceptions over a city's asset base as a framework of competitive performance. Business performance is measured in terms of productive efficiency—that is, technical and scale efficiency. Results indicate that networks and entrepreneurial perceptions of a city's asset base constitute important determinants of the successful operation of tourism businesses.
PurposeTo analyze the role of price fairness perceptions as a construct underlying individuals' transactions.Design/methodology/approachThe paper formulates and empirically tests the hypothesis that price fairness perceptions endogenously determine consumers' expenditures decisions. Economic transactions are viewed as an allocation choice problem with fairness perceptions being an endogenous variable determining problem outcome. A treatment effects model is utilized, allowing for the analysis of the effects that price fairness perceptions exercise upon both the consumers' decision to realize a transaction as well as upon their consequent level of spending.FindingsConsumers do patronize stores and one important variable determining their level of spending is their perceptions of fairness underlying the transaction with a specific provider.Research limitations/implicationsThe small usable questionnaire sample may be considered as a limitation. However, the very satisfactory fit of the estimated model allows for the results to be a comparison basis with future findings.Practical implicationsAnalysis of price fairness perceptions provides new insights regarding consumer behavior, enhancing the analytical validity of typical household demand models.Originality/valueAnalysis allows for price fairness perceptions to enter a consumer's expenditures equation usually expressed in terms of socio‐economic indicators.
If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -To contribute to the largely unexplored issue of directly assessing the effect of service quality factors on store performance. Design/methodology/approach -Service quality is decomposed into tangible elements, such as store size and personnel. A binary probit model is utilized in order to analyze the effect of various service quality factors on the probability that a store performs above average compared with its competitors. Findings -Results indicate that the store size, product variety, location and belonging to chain, variables exert the largest positive effect upon the probability that a store experiences above-average performance.Research limitations/implications -The present study suffers the limitation of a rather small usable questionnaires sample, albeit that the very satisfactory fit of the estimated econometric model allows for the findings to be a reliable comparison basis with future findings. Practical implications -The approach proposed here can be widely used for empirical investigation in order to provide findings that may be compared across services sectors, trading places/countries and time. On the other hand, the importance of such findings to managerial decision-making processes is evident. Originality/value -The paper introduces a framework for empirically investigating the direct effect of service quality elements on store performance.
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