Analysis of Formal and Informal Information Needs in Decision Support Systems Design

1984 ◽  
pp. 47-56
Author(s):  
Juzar Motiwalla ◽  
Leong Siew Meng
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Information Needs ◽  
Support Systems ◽  
Systems Design ◽  
Informal Information

Mobile Purchase Decision Support Systems for In-Store Shopping Environments

Data Mining ◽  
2013 ◽  
pp. 1339-1357
Author(s):  
Tobias Kowatsch ◽  
Wolfgang Maass
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Information Needs ◽  
Product Information ◽  
Support Systems ◽  
Purchase Decision ◽  
Innovation Diffusion Theory ◽  
Shopping Environments ◽  
New Business ◽  
Communication Needs

Purchase decision-making is influenced by product information available in online or in-store shopping environments. In online shopping environments, the use of decision support systems increases the value of product information as information becomes adaptive and thus more relevant to consumers’ information needs. Correspondingly, mobile purchase decision support systems (MP-DSSs) may also increase the value of product information in in-store shopping environments. In this chapter, we investigate the use of a MP-DSS that is bound to a physical product. Based on Theory of Planned Behaviour, Innovation Diffusion Theory, and Technology Acceptance Model, we propose and evaluate a model to better understand MP-DSSs. Results indicate that perceived usefulness influences product purchases and predicts usage intentions and store preferences of consumers. We therefore discuss new business models for retail stores in which MP-DSSs satisfy both the information needs of consumers and the communication needs of retailers.

Evolution of the Role of Measurement Systems in Industrial Decision Support

2016 ◽  
pp. 560-580 ◽  
Author(s):  
Miroslaw Staron ◽  
Wilhelm Meding ◽  
Kent Niesel ◽  
Ola Söder
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support Systems ◽  
Information Needs ◽  
Support Systems ◽  
Measurement Data ◽  
Automated Measurement ◽  
Measurement Systems ◽  
Distributed Decision

Measurement data can be used for decision support in multiple ways – from one-time, manual data collection/presentation (reporting) through flexible business intelligence solutions to online, automated measurement systems. In centralized organizations, the measurement data is often collected through reporting, but the trends in modern organizations with empowered teams, globalized development, and needs to monitor continuously longer supply chains requires shift in the design and use of measurement systems. In this chapter, we present a study of evolving measurement systems at three companies with global businesses – Ericsson, Volvo Cars, and Axis Communications. The results of the study include the identification of the timeline of the evolution, distinct generations of measurement systems and information needs in the different phases of the evolution. The experiences show how to evolve centralized decision support systems to support global and distributed decision support.

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