Information systems are engineering systems. Hardware is engineering item and software development is also an engineering branch. This information systems are engineering systems and industrial engineering which focuses on productivity of engineering systems has to a major role to play.
There are number of studies that point out that economy level productivity is not going up despite technological developments and investments in information systems.
To improve productivity of information systems, some attempts were done. But a focused attempt by industrial engineering profession to decrease the cost of information systems installation and operation would help the economy globally.
To improve productivity of information systems, some attempts were done. But a focused attempt by industrial engineering profession to decrease the cost of information systems installation and operation would help the economy globally.
1. Productivity Science of Information Systems
Recent Productivity Growth: Role of Information Technology and Other Innovations
Martin N Bailey
2004
https://pdfs.semanticscholar.org/5e1c/f0348cab56a45951b23c7da8093fc517a97f.pdf
2. Process Industrial Engineering of Information Systems
Programmer Productivity Improvement
Availability of Computer Resources. In a study by Thadani it was found that a decrease in response time from 2.2 seconds to .8 seconds increased programmer interaction by 60 percent, programmer output increased by 58 percent, and the code quality improved by more than a factor of two. (Thadani, 1984)
CONSTRAINTS ON PROGRAMMER PRODUCTIVITYhttps://www.andrews.edu/~vyhmeisr/papers/progprod.html
Using Task Context to Improve Programmer Productivity
Mik Kersten and Gail C. Murphy University of British Columbia 201-2366 Main Mall, Vancouver, BC V6T 1Z4 Canada
2006
Although the complexity of systems continues to increase, the ability of programmers to handle complexity does not. To address this mismatch, a model of task context, can be layered over the existing structure models in the IDE and alongside with integrated task management facilities. We have tested the model on industry programmers, finding both quantitative and qualitative evidence that the use of task context can make programmers more productive.
We report a statistically significant improvement in the productivity of 16 industry programmers who voluntarily used Mylar for their daily work.
https://www.researchgate.net/publication/200085969_Using_task_context_to_improve_programmer_productivity
Productivity Engineering
Productivity Engineering SV
Oct 25, 2017
https://medium.com/@ProdEngSV/productivity-engineering-4aff8b560d0b
3. Product Industrial Engineering of Information Systems and Products
Software value engineering
Information Technology Value Engineering Model and Cost Efficiency in IT-Based Firms
This paper aims to explore the improved business performance established on optimum costs. This structure rests on a proposed information technology (IT) value engineering model, which is an engineering process associated with IT inclusion in a business organization. Therefore, the methodology approach utilizes systems engineering to develop an engineering scheme procedure by stating the problem, creating alternate resolutions, deciding a resolution, specifying the scheme, and confirming the model. Three Indonesian Telco's firms (Telkom, Indosat, and XL) provided the model with data to experiment it. Furthermore, the results disclose the IT value engineering model has worked. The model has provided the firms with the improved performance at lower costs.
https://www.researchgate.net/publication/314025544_Information_Technology_Value_Engineering_Model_and_Cost_Efficiency_in_IT-Based_Firms
4. Industrial Engineering Economics of Information Systems
Return on Investment in Information Systems Projects
Adoption and Replacement of Information System Components and Whole Systems
Economic Analysis of a Computer System with Software Up-Gradation and Priority to Hardware Repair over Hardware Replacement Subject to Maximum Operation and Repair Times
2015
https://www.researchgate.net/publication/275715318_Economic_Analysis_of_a_Computer_System_with_Software_Up-Gradation_and_Priority_to_Hardware_Repair_over_Hardware_Replacement_Subject_to_Maximum_Operation_and_Repair_Times
IT Infrastructure Core Services - Investment Evaluation Summary
2017
https://www.tasnetworks.com.au/TasNetworks/WebParts/TasNetworks/EWP/RR19Download.ashx?d=12558&m=v
New Technology Adoption Studies
Linux Adoption in the Public Sector: An Economic Analysis
2003
https://pdfs.semanticscholar.org/4b82/3cd7ae8afdef784424bb8dd0d72591c27378.pdf
5. Industrial Engineering Optimization of Information Systems
1972
A Methodology for the Design and Optimization
of Information Processing Systems
J. F. Nunamaker
Purdue University, Report Number:
72-051
https://docs.lib.purdue.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1430&context=cstech
2007
IBM
IT optimization to meet
business goals.
Part of the CIO implications series
http://www-935.ibm.com/services/uk/cio/optimize/optit_wp_gts_itoptimization.pdf
Proposal for Optimization of Information System☆
Vojtech Demoč, Zuzana Vyhnáliková, Patrik Aláč
Procedia Economics and Finance
Volume 34, 2015, Pages 477-484
open access
The main objective of this paper was to analyze the enterprise information system in a selected organization, summarizing the benefits and identifying the deficits of the system, followed up by a proposal of system changes with the aim to compensate the identified deficits. In the last part of this paper, the proposal of the optimization of the IS and its selection is given.
https://www.sciencedirect.com/science/article/pii/S2212567115016573
6. Industrial Engineering Statistics in Information Systems
6-Sigma Projects in Information Systems
Six Sigma Information Systems: A Payroll Application
2008
iacis.org/iis/2008/S2008_1087.pdf
7. Human Effort Industrial Engineering in Information Systems
Ergonomic Studies
Ergonomics of Information Systems - EACE
Human Computer Interaction
8. Industrial Engineering Measurement of Information Systems
Cost Measurement
On Modeling and Analyzing Cost Factors in Information Systems Engineering
Mutschler B., Reichert M. (2008) On Modeling and Analyzing Cost Factors in Information Systems Engineering. In: Bellahsène Z., Léonard M. (eds) Advanced Information Systems Engineering. CAiSE 2008. Lecture Notes in Computer Science, vol 5074. Springer, Berlin, Heidelberg
Introducing enterprise information systems (EIS) is usually associated with high costs. It is therefore crucial to understand those factors that determine or influence these costs. We introduce the EcoPOST framework to investigate the complex cost structures of EIS engineering projects through qualitative cost evaluation models. The EcoPOST framework is an important tool supporting EIS engineers in gaining a better understanding of the critical factors determining the costs of EIS engineering projects.
https://link.springer.com/chapter/10.1007/978-3-540-69534-9_38
Work Measurement
Productivity Measurement
Programmer Productivity
9. Productivity Management of Information Systems
2017
The work life of developers: activities, switches and perceived productivity
Meyer, André; Barton, Laura E; Fritz, Thomas; Murphy, Gail C; Zimmermann, Thomas
Many software development organizations strive to enhance the productivity of their developers.
All too often, efforts aimed at improving developer productivity are undertaken without knowledge about how developers spend their time at work and how it influences their own perception of productivity
10. Applied Industrial Engineering in Information Systems
Application of IE Methods in new information system technologies and implementations
Updated on 19 May 2019, 28 January 2019
Good to see some twitter messages under the hashtag "ProductivityEngineering."
ReplyDelete