scholarly journals Decision Support Systems for the Forest Insect and Disease Survey and for Pest Management

1988 ◽  
Vol 64 (2) ◽  
pp. 132-135 ◽  
Author(s):  
J. M. Power
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Pest Management ◽  
Information Needs ◽  
Support Systems ◽  
Forest Pest ◽  
Forest Insect ◽  
Disease Survey ◽  
Forest Pest Management ◽  
Disease Surveys

Effective forest pest management involves decision-making supported by useful information. The concept of Decision Support Systems is being actively pursued by the Forest Insect and Disease Survey (FIDS) of the Canadian Forestry Service to meet its information needs for analysis of forest pest conditions. The FIDSINFOBASE system was developed to provide FIDS units nationwide access to survey data. Geographic Information System capabilities are being integrated for capture and analysis of infestation maps. Possibilities exist for the integration of systems, data, and models among agencies for information standardization and exchange. Key words: information systems, forest pest management, insect and disease surveys.

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.

scholarly journals Perceptions of Risk, Risk Aversion, and Barriers to Adoption of Decision Support Systems and Integrated Pest Management: An Introduction

2011 ◽  
Vol 101 (6) ◽  
pp. 640-643 ◽  
Author(s):  
David H. Gent ◽  
Erick De Wolf ◽  
Sarah J. Pethybridge
Keyword(s):  
Decision Support ◽  
Integrated Pest Management ◽  
Decision Support Systems ◽  
Pest Management ◽  
Support Systems ◽  
Disease Risk ◽  
Plant Diseases ◽  
Control Measures ◽  
Management Decisions ◽  
Perceptions Of Risk

Rational management of plant diseases, both economically and environmentally, involves assessing risks and the costs associated with both correct and incorrect tactical management decisions to determine when control measures are warranted. Decision support systems can help to inform users of plant disease risk and thus assist in accurately targeting events critical for management. However, in many instances adoption of these systems for use in routine disease management has been perceived as slow. The under-utilization of some decision support systems is likely due to both technical and perception constraints that have not been addressed adequately during development and implementation phases. Growers' perceptions of risk and their aversion to these perceived risks can be reasons for the “slow” uptake of decision support systems and, more broadly, integrated pest management (IPM). Decision theory provides some tools that may assist in quantifying and incorporating subjective and/or measured probabilities of disease occurrence or crop loss into decision support systems. Incorporation of subjective probabilities into IPM recommendations may be one means to reduce grower uncertainty and improve trust of these systems because management recommendations could be explicitly informed by growers' perceptions of risk and economic utility. Ultimately though, we suggest that an appropriate measure of the value and impact of decision support systems is grower education that enables more skillful and informed management decisions independent of consultation of the support tool outputs.

ICT based decision support systems for Integrated Pest Management (IPM)in India: A review

2016 ◽  
Vol 37 (4) ◽  
Author(s):  
Niranjan Singh ◽  
Neha Gupta
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Integrated Pest Management ◽  
Decision Support Systems ◽  
Pest Management ◽  
Pest Control ◽  
Support Systems ◽  
Plant Protection ◽  
Crop Protection ◽  
Management Information

Pests cause significant losses to crop production in India. Excessive and irrational use of chemicals for pest control not only degrades the environment but also affects the human health due to presence of pesticide residue. Integrated Pest Management (IPM) is such a technology, which combines multiple ecologically safer and economically sound pest control methods. IPM being knowledge intensive approach to crop protection emphasizes appropriate decision-making based on knowledge of interaction of the crop, pests, beneficial organisms that prey on pests and whole lot of other information. IPM practitioners or farmers require timely access to the relevant pest management information/knowledge and expertise. So the improved methods of Information and Communication Technology (ICT) such as Decision Support Systems (DSSs) greatly help the farmers in accessing the pest management information and expertise. DSSs are software tools that support decision-making activities. They collect, organize, integrate and analyze all types of information required for decision making and finally use the analysis to recommend the most appropriate action. Many DSSs have been developed for in the field of plant protection by various public and private organizations in the country which have been elaborated in this review.

Mobile Purchase Decision Support Systems for In-Store Shopping Environments

2011 ◽  
pp. 270-288
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.

scholarly journals Canadian contributions to forest insect pathology and to the use of pathogens in forest pest management

2015 ◽  
Vol 148 (S1) ◽  
pp. S210-S238 ◽  
Author(s):  
Kees van Frankenhuyzen ◽  
Christopher Lucarotti ◽  
Robert Lavallée
Keyword(s):  
Pest Management ◽  
Large Scale ◽  
Natural Occurrence ◽  
Forest Pest ◽  
Eastern Canada ◽  
Private Industry ◽  
Forest Insect ◽  
Forest Protection ◽  
Insect Pathology ◽  
Forest Pest Management

AbstractThe study of insect pathogens became established as a distinct discipline in the late 1940s. In the ~65 years that followed, forest pest management was the main theatre for the development and practice of insect pathology in Canada. Researchers from the federal government and academic institutions contributed to the growing discipline by acquiring foundational knowledge on taxonomy, mode of action, natural occurrence, and ecological role of key pathogens infecting forest pest insects, covering an array of fungi, Microsporidia, viruses, and bacteria. The ultimate goal was to develop pathogen-based alternatives to synthetic insecticides used in large-scale forest protection programmes throughout eastern Canada. That goal was achieved through the development of baculovirus-based products for control of gypsy moths (Lepidoptera: Erebidae), tussock moths (Lepidoptera: Erebidae), and various sawfly (Hymenoptera) species, which are now in the hands of private industry and poised for growing operational use. The second success was the development of products based onBacillus thuringiensisBerliner (Bacillaceae), which have almost entirely replaced synthetic insecticides in forest protection. We review those successes and other key Canadian contributions to forest insect pathology within the context of emerging digital, molecular, and other technologies, and show how they have altered today’s face of forest pest management in Canada.

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