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Multivariate exploratory data analysis for large databases : An application to modelling firms' innovation using CIS data

Bou-Llusar, Juan Carlos; Satorra, Albert - In: Business research quarterly : BRQ 22 (2019) 4, pp. 275-293

This paper argues that, when using a large database, organizational researchers would benefit from the use of specific multivariate exploratory data analysis (MEDA) before performing statistical modelling. Issues such as the representativeness of the database across domains (countries or...

Persistent link: https://www.econbiz.de/10012120176

Management innovation in the hotel industry

Nieves, Julia; Segarra-Ciprés, Mercedes - In: Tourism management : research, policies, practice 46 (2015), pp. 51-58

Persistent link: https://www.econbiz.de/10010485577

The impact of hard and soft quality management and proactive behaviour in determining innovation performance

Escrig-Tena, Ana B.; Segarra-Ciprés, Mercedes; … - In: International journal of production economics 200 (2018), pp. 1-14

Persistent link: https://www.econbiz.de/10011869983

Incremental and radical product innovation capabilities in a quality management context : exploring the moderating effects of control mechanisms

Escrig-Tena, Ana B.; Segarra-Ciprés, Mercedes; … - In: International journal of production economics 232 (2021), pp. 1-10

Persistent link: https://www.econbiz.de/10012495539

The link between quality management and innovation performance : a content analysis of survey-based research

Segarra-Ciprés, Mercedes; Escrig-Tena, Ana B.; … - In: Total quality management & business excellence 31 (2020) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10012256573

Multivariate exploratory data analysis for large databases: An application to modelling firms' innovation using CIS data

Bou-Llusar, Juan Carlos; Satorra, Albert - In: BRQ Business Research Quarterly 22 (2019) 4, pp. 275-293

Persistent link: https://www.econbiz.de/10013327684