Business analytics capability, organisational value and competitive advantage
Business analytics makes the assumption that given a sufficient set of analytics capabilities exist within an organisation, the existence of these capabilities will result in the generation of organisational value and/or competitive advantage. Taken further, do enhanced capability levels lead to enhanced impact for organisations? Capability in this study is grounded in the four pillars of governance, culture, technology and people from the Cosic, Shanks and Maynard capability framework.
Optimizing management of emergency gas leaks
Managing the response to reported gas leaks is of significant importance to both utilities and regulators. This paper uses a business analytics approach to investigate strategies for managing gas leak response while balancing the objectives of both utilities and regulators. The paper highlights the analytic methods and the related “soft skills” that must be managed in the business analytics context to ensure an outcome that is acceptable for all stakeholders.
Alignment of business and social media strategies: insights from a text mining analysis
Organisations use social media technologies for various customer engagement and external-facing activities. This research examines the extent to which the business and social media strategies of organisations are aligned.
Topic modelling for analyzing open-ended survey responses
Open-ended responses are widely used in market research studies. Processing such responses requires labour-intensive human coding. This paper focuses on unsupervised topic models and tests their ability to automate the analysis of open-ended responses.
Business analytics and firm performance: role of structured financial statement data
Although business analytics has received its fair share of attention, extant research has paid insufficient attention to establishing and communicating a general understanding of the relationship between analytics and performance. To reduce the identified knowledge gap, this study proposes a comprehensive, theoretical framework to explain the key types of business analytics, their relationships, and how use of business analytics impacts operational and financial performance.