Using hierarchical task decompositions as a grammar to map actions in context: Application to forecasting systems in supply chain planning

Asimakopoulos, S and Dix, A and Fildes, R A (2011) Using hierarchical task decompositions as a grammar to map actions in context: Application to forecasting systems in supply chain planning. International Journal of Human-Computer Studies, 69 (4). pp. 234-250. ISSN 1071-5819

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Abstract

In this paper, we consider the value of using Hierarchical Task Analysis (HTA) as a grammar to map actions in context. The grammar approach aims to develop a richer picture of user actions in a task accommodating aspects of the socio-organizational context. This paper reflects on user tasks as emerged from interviews with real users in supply chain industries where Forecasting Support Systems (FSS) are used to predict future product sales. In this paper, we use HTA to describe what the expert literature has identified as the stages in producing sales forecasts. In order to evaluate this against reported scenarios and observations of actual use, we apply an approach that uses a parallel to the grammar of everyday language to represent user activities. In addition to specifying the particular socio-organizational aspects of FSS use, we show how the grammar approach contributes to effective analysis of unstructured, qualitative data. The methodology we adopt also eases our attempt to understand user tasks and validate the constructed HTA model in a given context. The methodological implications and future research directions for task analysis models are discussed.

Item Type: Journal Article
Journal or Publication Title: International Journal of Human-Computer Studies
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1709
Subjects:
Departments: Lancaster University Management School > Management Science
ID Code: 45810
Deposited By: ep_importer_pure
Deposited On: 11 Jul 2011 18:38
Refereed?: Yes
Published?: Published
Last Modified: 01 Jan 2020 07:34
URI: https://eprints.lancs.ac.uk/id/eprint/45810

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