Open Data Business Research Articles

Understanding open data business models from innovation and knowledge management perspectives

PurposeThis paper aims to analyse the open data business models (ODBMs) as a source of knowledge and innovation to generate economic and social value. A framework for understanding ODBMs is presented. First, the knowledge structure of the ODBMs literature is identified. Second, a conceptual model for analysing the ODBMs is proposed. And finally, the future trends in ODBMs research are discussed.Design/methodology/approachIn this paper, co-word analysis is performed to identify the topics related with ODBMs.FindingsThe ODBMs structure of knowledge is articulated in five themes: business model, smart city, business ecosystem, decision-making and innovation. Based on these results, a five-step model for analysing ODBMs is proposed. Finally, a discussion of the future trends of ODBMs focussed on a knowledge management perspective, open data ecosystems and business intelligence is presented.Originality/valueThe paper presents a picture of what, where, for whom and for what ODBMs have been studied and develops a new model to explain the value creation process of ODBMs. Taking a step further, applying the principles and models of knowledge management and business intelligence to ODBMs is also recommended in order to transfer and transform open data into valuable knowledge that can be used for developing apps. In that context, the importance of encouraging collaboration between different agents in the so-called open data ecosystem is presented.

Views on Open Data Business from Software Development Companies

The interest towards the concept of open data has increased during the last ten years, as governments and municipalities have decided to open their data repositories. This has led to a new generation of mobile apps, which utilize this data to improve the feature richness and the overall user experience for the customers. In this study, we interviewed representatives of five software organization and discussed their views towards opening data -private and public-and also using the open data in practice. Based on our observations, the companies see very limited scope for the use of open data as a business asset: the main applications seem to gravitate towards function as an additional feature for an existing product, not a source of new innovations or business ventures. The results also illustrate on how little benefit the organizations consider to gain from opening their private data, and what alternatives there are for sharing data in a profitable manner. Additionally, as based on the observations, a strategy classification on the different data sharing methods is formulated and presented

Open data business model: innowacyjne aspekty projektowania modeli biznesu

Problem badawczy opisany w artykule obejmuje identyfikację kluczowych determinant kierunków rozwoju problematyki kształtowania innowacyjnych modeli biznesu opartych na założeniach Open Data. Celem badawczym artykułu jest odpowiedzenie na pytanie, jakie są kluczowe determinanty konceptualizacji i operacjonalizacji procesu projektowania modeli biznesu na podstawie założeń koncepcji Open Data. Metodyka badania obejmuje identyfikację atrybutów jakościowych wybranych modeli biznesu opartych na założeniach Open Data wraz ze wskazaniem kluczowych aspektów projektowania tych modeli biznesu. Rezultatem przeprowadzonych studiów literaturowych, badań i prac konceptualnych jest wskazanie nowoczesnych trendów w zakresie projektowania modeli biznesu opartych na założeniach Big Data. Kluczowe wnioski wskazują, że analiza wybranych modeli biznesu działających z wykorzystaniem OGT (Open Government Data) potwierdza, iż pojawił się dzięki nim nurt nowych innowacyjnych modeli biznesu wspieranych przez rządy bądź bazujących na ich strategii udostępniania dużych zbiorów danych. Rozwijany jest przy tym strumień prywatnych inicjatyw wspierających strategię upowszechniania dużych zbiorów danych.

Exploring the economic value of open government data

Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on Open Data Business Models (ODBMs) are predominantly in the practice community. This shortcoming has resulted in a growing list of ODBMs which, on closer examination, are not clearly delineated and lack clear value orientation. This has made the understanding of value creation and exploitation mechanisms in existing open data businesses difficult and challenging to transfer. Following the Design Science Research (DSR) tradition, we developed a 6-Value (6-V) business model framework as a design artifact to facilitate the explication and detailed analysis of existing ODBMs in practice. Based on the results from the analysis, we identify business model patterns and emerging core value disciplines for open data businesses. Our results not only help streamline existing ODBMs and help in linking them to the overall business strategy, but could also guide governments in developing the required capabilities to support and sustain the business models.

Open Innovation, Open Data and New Business Models

Abstract Open government data are the result of as well as the preconditions for open government. Data made publically accessible are an important basis for creating added value for society as a whole. Open data business models support entrepreneurs rein using and combining available open data sources to provide value-added services. Three cases show how open data business models can be realized. 1. Introduction Societies, as well as the business world,are undergoing a digital transformation. Means of information and communication technologies (ICT) are triggering significant and fundamental changes. ICT have had have multiple, diverse effects since their emergenceand continue to do so . From an economic and business perspective, several industries undergone major have transformations over the past four decades; the banking and finance or travel industries are key examples. Many industries are struggling and are searching for new strategies and business models to cope with the effects of digitalization.