Disaster management: an ethical review and approach
In: International journal of emergency management: IJEM, Band 9, Heft 2, S. 113
ISSN: 1741-5071
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In: International journal of emergency management: IJEM, Band 9, Heft 2, S. 113
ISSN: 1741-5071
In: International journal of emergency management: IJEM, Band 12, Heft 2, S. 152
ISSN: 1741-5071
In: Journal of enterprise information management: an international journal, Band 29, Heft 4, S. 482-504
ISSN: 1758-7409
Purpose– The purpose of this paper is to advocate for and provide guidance for the development of a code of ethical conduct surrounding online privacy policies, including those concerning data mining. The hope is that this research generates thoughtful discussion on the issue of how to make data mining more effective for the business stakeholder while at the same time making it a process done in an ethical way that remains effective for the consumer. The recognition of the privacy rights of data mining subjects is paramount within this discussion.Design/methodology/approach– The authors derive foundational principles for ethical data mining. First, philosophical literature on moral principles is used as the theoretical foundation. Then, using existing frameworks, including legislation and regulations from a range of jurisdictions, a compilation of foundational principles was derived. This compilation was then evaluated and honed through the integration of stakeholder perspective and the assimilation of moral and philosophical precepts. Evaluating a sample of privacy policies hints that current practice does not meet the proposed principles, indicating a need for changes in the way data mining is performed.Findings– A comprehensive framework for the development a contemporary code of conduct and proposed ethical practices for online data mining was constructed.Research limitations/implications– This paper provides a configuration upon which a code of ethical conduct for performing data mining, tailored to meet the particular needs of any organization, can be designed.Practical implications– The implications of data mining, and a code of ethical conduct regulating it, are far-reaching. Implementation of such principles serve to improve consumer and stakeholder confidence, ensure the enduring compliance of data providers and the integrity of its collectors, and foster confidence in the security of data mining.Originality/value– Existing legal mandates alone are insufficient to properly regulate data mining, therefore supplemental reference to ethical considerations and stakeholder interest is required. The adoption of a functional code of general application is essential to address the increasing proliferation of apprehension regarding online privacy.
In: Group & organization management: an international journal, Band 44, Heft 1, S. 3-37
ISSN: 1552-3993
We investigate the relationship between personal and professional familiarly, team effectiveness, and viability, and how these relationships are mediated by information elaboration in global virtual teams. We further assess whether virtuality moderates the relationships between both types of familiarity and information elaboration. Based on data collected from 63 global virtual supply chain teams, our results suggest that professional familiarity is positively associated with team information elaboration, which in turn relates positively to both manager-rated team effectiveness and team leader–rated viability. Furthermore, team virtuality enhances the influence of personal familiarity on information elaboration, but dampens the relationship between professional familiarity and information elaboration. Our results suggest that professional familiarity is a more salient antecedent of information elaboration in global virtual teams. We discuss the implications of our results for both theory and practice.