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Exploring data conditions to improve business performance

Published in Journal of the Operational Research Society, 2009

Past researches drew from the industrial organization perspective have examined the role of the data to generate competitive advantage. Their analysis show data is a valuable resource that can leverage business partnerships, vertical integration, or diversification. The emergence of data science has created new opportunities to understand better clients’ needs and to manage more efficiently the organizations’ processes. Nevertheless, if data analytics represent an enormous potential, many organizations are still looking the conditions to obtain value from them. Our study contributes to this topical subject analysing the relationship between different combinations of data conditions and the company performance that we measure through the Customer management and Provider operations efficiency.Our results show that the consistency, completeness, and protection of the data along with a data-driven company profile are different possible solutions to a better Customer management and Provider operations efficiency. Our conclusions allow practitioners to uncover the strength of the data in the hopes of solving many of their business performance concerns.

Recommended citation: Grimaldi, D., Fernández, V., Carrasco-Farré, C. (2019). "Exploring data conditions to improve business performance." Journal of the Operational Research Society. 1(1). https://www.tandfonline.com/doi/full/10.1080/01605682.2019.1590136

Posts

Future Blog Post

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Blog Post number 4

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Blog Post number 3

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

less than 1 minute read

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portfolio

publications

Open government data: An assessment of the Spanish municipal situation

Published in Social Science Computer Review, 2015

There is a growing quantity of data being generated in all aspects of our lives. Individuals and organizations produce and collect a broad range of different types of data in order to perform their tasks. Governments are particularly significant in this respect, not only because of the quantity and centrality of the data they collect, but also because most government data are public data by law and, therefore, could be made openly available for public use. Despite a growing consensus that Open Government in general and Open Data in particular are good both for governments and for society at large, there is no clear way to enable empirical analysis and quantitative measurements of Open Government Data initiatives. Our research uses a holistic approach proposed by the Organization for Economic Cooperation and Development (OECD) that includes all stages in the deployment of an Open Government Data initiative, namely strategy, implementation, organization, communication, interaction, and Impact. The analysis shows that Spanish municipalities can be divided into three groups: municipalities that are performing reasonably well (A), municipalities that are doing something but not as much as the first group (B), and municipalities that are doing very little or almost nothing (C). The research also draws two basic similarities between groups A and B and two types of differences between them. Another conclusion is that the different dimensions explain partly (more than the 72% of the variance) the difference between actual and expected performances supporting indirectly the OECD’s framing and the probable existence of a pathway toward successful Open Government Data projects.

Recommended citation: Carrasco-Farré, C., Sobrepere, X. (2016). "Open government data: An assessment of the Spanish municipal situation." Social Science Computer Review. 33(5).

The open kimono: Toward a general framework for open data initiatives in cities

Published in California Management Review, 2016

The article presents a framework for exploring the drivers, structure, and dynamics of open data initiatives in the city context. Drawing on a case study of the city of Barcelona complemented with other cases, it develops a stepwise framework that can serve as a practical guide for both urban and private leaders to implement open data strategies. Following this model can enable managers to minimize risk and effectively harness the power of open data.

Recommended citation: Berrone, P., Ricart, J.E., Carrasco-Farré, C. (2016). "The open kimono: Toward a general framework for open data initiatives in cities." California Management Review. 59(1).

Exploring data conditions to improve business performance

Published in Journal of the Operational Research Society, 2019

Past researches drew from the industrial organization perspective have examined the role of the data to generate competitive advantage. Their analysis show data is a valuable resource that can leverage business partnerships, vertical integration, or diversification. The emergence of data science has created new opportunities to understand better clients’ needs and to manage more efficiently the organizations’ processes. Nevertheless, if data analytics represent an enormous potential, many organizations are still looking the conditions to obtain value from them. Our study contributes to this topical subject analysing the relationship between different combinations of data conditions and the company performance that we measure through the Customer management and Provider operations efficiency.Our results show that the consistency, completeness, and protection of the data along with a data-driven company profile are different possible solutions to a better Customer management and Provider operations efficiency. Our conclusions allow practitioners to uncover the strength of the data in the hopes of solving many of their business performance concerns.

Recommended citation: Grimaldi, D., Fernández, V., Carrasco-Farré, C. (2019). "Exploring data conditions to improve business performance." Journal of the Operational Research Society. 75(5).

Heuristic for the localization of new shops based on business and social criteria

Published in Technological Forecasting and Social Change, 2019

The last financial crisis and the globalisation of the retail industry resulted to a massive close of local shops which leads to an important proportion of unoccupied space in the city. The desertification of the urban economic environment is not only a business issue discouraging the potential investments but also a social problem of security or quality of urban life. Our paper consists on developing a heuristic that prioritises the opening of new shops amongst the void locations based on a business and social criteria. Our results corroborate the convergence of the social, business and technology sciences. They provide a method and a tool for the city managers to monitor and manage the opening of new shops. Included in the policy of the smart city, they allow to decrease the risks of uniformity, ‘mono-business activity’ and gentrification of the neighbourhood.

Recommended citation: Grimaldi, D., Fernández, V., Carrasco-Farré, C. (2019). "Heuristic for the localization of new shops based on business and social criteria." Technological Forecasting and Social Change. 142.

Grassroots resistance to digital platforms and relational business model design to overcome it: A conceptual framework

Published in Strategy Science, 2020

Although extant research has studied incumbent resistance to digital platforms, it provides little understanding about when grassroots collective action by other ecosystem stakeholders against the digital platform is likely. In this paper, we identify the scope conditions detailing when local stakeholders can initiate grassroots collective action against the digital platform, a unique context characterized by fast growth, distributed innovation, role flexibility, and direct local connectivity, and propose viable solutions. Our conceptual framework suggests that grassroots collective action against the digital platform is most likely when the digital platform operates with localized scarce assets or localized precarious labor and when actors express their grievances through formalized channels. We combine business model design and stakeholder management perspectives to develop design-based solutions that involve a multisided business model structure, an inclusive stakeholder value proposition, and an ecosystem-centered governance. We call the combination of such design efforts relational business model design. To the incipient theory of digital platforms, we contribute a stakeholder-centered view of platform business models operating within local ecosystems, bridging research on collective action and stakeholder management with strategic management of platforms.

Recommended citation: Ricart, J.E., Snihur, Y., Carrasco-Farré, C., Berrone, P. (2020). "Grassroots resistance to digital platforms and relational business model design to overcome it: A conceptual framework." Strategy Science. 5(3).

talks

teaching

Emerging Technologies

Undergraduate course - B.A. Business Management, La Salle University, 2021

Evaluation: 4.9/5