Data governance is an emerging subject in the information system (IS) field. In recent years, the volume of data used within organisations has increased dramatically, playing a critical role in business operations. Th...
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Data governance is an emerging subject in the information system (IS) field. In recent years, the volume of data used within organisations has increased dramatically, playing a critical role in business operations. This paper explores the current literature on data governance and is intended to provide a comprehensive analysis of the activities involved in data governance. Six major academic databases in the IS domain were searched using key terms to identify and analyse material reflecting the current state of knowledge. A systematic procedure was developed to identify 31 papers that explicitly mention data governance activities. open coding techniques were applied to conduct content analysis, resulting in 110 data governance activities across five decision domains of the data governance framework. These data governance activities are understood as: 'action' plus 'area of governance' plus 'decision domain' e.g. (define data policies for data quality). Our analysis shows a high volume of data governance activities associated with the 'defining' action of the areas of governance across the decision domains with a lack of reported on the 'implementing' and 'monitoring' actions.
In this paper, we present a framework that combines automatic and manual approaches to discover themes in disaster-related tweets. As case study, we decided to focus on tweets related to typhoon Haiyan, which caused b...
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ISBN:
(纸本)9781450334730
In this paper, we present a framework that combines automatic and manual approaches to discover themes in disaster-related tweets. As case study, we decided to focus on tweets related to typhoon Haiyan, which caused billions of dollars in damages. We collected tweets from November 2013 to March 2014 and used the local typhoon name "Yolanda" as the filter. Data association was used to expand the tweet set and k-means clustering was then applied. Clusters with high number of instances were subjected to open coding for labeling. The Silhouette indices ranged from 0.27 to 0.50. Analyses reveal that the use of automated Natural Language Processing (NLP) approach has the potential to deal with huge volumes of tweets by clustering frequently occurring words and phrases. This complements the manual approach to surface themes from a more manageable set of tweet pool, allowing for a more nuanced analysis of tweets from a human expert. As application, the themes identified during open coding were used as labels to train a classifier system. Future work could explore on using topic models and focusing on specific content or issues, such as natural calamities and citizen's participation in addressing these.
The success of Enterprise Resource Planning (ERP) implementation depends, to a large extent, on end-users' acceptance of ERP systems, which in turn affects the intensity and nature of system use. To understand the...
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The success of Enterprise Resource Planning (ERP) implementation depends, to a large extent, on end-users' acceptance of ERP systems, which in turn affects the intensity and nature of system use. To understand the phenomenon underlying end-users' acceptance of ERP systems, the authors conducted a grounded theory research in a large institution that implemented an ERP system. Through systematic coding and content analysis, the authors inductively derived a theoretical model to explain end-users' acceptance of ERP systems. Three categories-beliefs about the system, changes in job scope, and social influence - emerged from the data as direct antecedents of user acceptance. The data also suggest that "beliefs about the system" mediates the influence of "training and support" and "personal characteristics" on user acceptance, whereas "personal characteristics" moderate the influence of "changes in job scope" on user acceptance. The theoretical model that emerged from this qualitative study extends existing models of user acceptance by providing a more complete understanding of end-users' acceptance of ERP systems.
Theme identification is one of the most fundamental tasks in qualitative research. It also is one of the most mysterious. Explicit descriptions of theme discovery are rarely found in articles and reports, and when the...
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The aim of this research was to investigate the nature of sexual offenders' affective empathy. Thirty-one men participating in a residential treatment program for child abusers constructed “victim apology letters...
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An optimization technique known as inline substitution is analyzed. The optimization consists of replacing a procedure invocation by a modified copy of the procedure body. The general problem of using inline substitut...
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