arbiter
JournalsPricingAccount

Finding a balance between business and ethics: an empirical study of ERP-based DSS attributes

Ahmad M. Kabil & Andrew P. Ciganek

International Journal of Internet and Enterprise Management2023https://doi.org/10.1504/ijiem.2023.134461article
ABDC C
Weight
0.26

What the paper says

Numerous scandals due to unethical decisions occur despite the growing use of decision support systems (DSS). Several scholars recommend incorporating ethical attributes along with business requirements in DSS design. However, little guidance exists to indicate which ethical attributes to include and the importance ethical attributes should be given in comparison to business requirements. This study addresses this deficiency by identifying ethical requirements to integrate in DSS design drawn from the business ethics literature. This study conducted a large-scale empirical survey with information technology decision-makers to examine the relative importance of DSS fit with ethical and business requirements as well as the appropriate balance of those requirements on perceived DSS performance. The results show that decision makers perceive better DSS performance when the ethical and business requirements align with its organisation's beliefs than from ethical or business requirements alone.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijiem.2023.134461

Or copy a formatted citation

@article{ahmad2023,
  title        = {{Finding a balance between business and ethics: an empirical study of ERP-based DSS attributes}},
  author       = {Ahmad M. Kabil & Andrew P. Ciganek},
  journal      = {International Journal of Internet and Enterprise Management},
  year         = {2023},
  doi          = {https://doi.org/https://doi.org/10.1504/ijiem.2023.134461},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Finding a balance between business and ethics: an empirical study of ERP-based DSS attributes

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.