Search results

Over the past decade, governments around the world have implemented open government data (OGD) policies to make their data publicly available, with collaboration and citizen engagement being one of the main goals. However, even though a lot of data is published, only a few citizens are aware of its existence and usefulness. The purpose of this paper is to identify the requirements for an application that raises awareness of Open Government Data (OGD) to citizens.

This study followed a design research science approach to collect citizens’ requirements for the design of such an application through interviews with 10 citizens and evaluated through user testing with 25 citizens.

This study identified and validated 11 requirements that can be implemented to raise citizens’ awareness of OGD. The most useful are listing OGD reuses with information about data used and receiving notification when a new OGD reuse is released. Furthermore, the evaluation results provided evidence of the effectiveness of using an application to improve OGD awareness to citizens.

This research provides requirements that can be used by developers to implement a usable tool to raise citizen awareness or by researchers to evaluate applications whose objective is to raise citizen awareness. Finally, it provides a mobile application that can used by developers to showcase their OGD reuses or by researchers to aware citizens of OGD through real-world examples.

The study seeks to investigate the quality of metadata associated with the open government data (OGD) portals of the six Gulf Cooperation Council (GCC) constituents – Bahrain (BH), Kuwait (KW), Oman (OM), Qatar (QA), Kingdom of Saudi Arabia (KSA) and United Arab Emirates (UAE).

A quantitative framework, supported by extant literature, is adopted to assess the metadata quality of the six OGD portals of the GCC constituents.

Among the six GCC countries, QA has the most advanced OGD metadata quality followed by KSA, UAE, OM, BH and KW. Furthermore, the OGD metadata quality (MQ) of UAE and OM stand at the same pedestal whereas BH and KW OGD portals are lagging behind.

While the OGD quality has been investigated in extant literature, the MQ of the OGD portals for the GCC countries has not been investigated so far – the present study seeks to plug this gap.

Corporate failure remains a critical financial concern, with implications for both firms and financial institutions; this paper aims to review the literature that proposes corporate failure prediction models for the twenty-first century.

This paper gathers information from 106 published articles that contain corporate failure prediction models. The focus of the analysis is on the elements needed to design corporate failure prediction models (definition of failure, sample approach, prediction methods, variables and evaluation metrics and performance). The in-depth review creates a synthesis of current trends, from the view of those elements.

Both consensus and divergences emerge regarding the design of corporate failure prediction models. On the one hand, authors agree about the use of bankruptcy as a definition of failure and that at least two evaluation metrics are needed to examine model performance for each class, individually and in general. On the other hand, they disagree about data collection procedures. Although several explanatory variables have been considered, all of them serve as complements for the primarily used financial information. Finally, the selection of prediction methods depends entirely on the research objective. These discrepancies suggest fundamental advances in discovery and establish valuable ideas for further research.

This paper reveals some caveats and provides extensive, comprehensible guidelines for corporate failure prediction, which researchers can leverage as they continue to investigate this critical financial subject. It also suggests fruitful directions to develop further experiments.