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Abstract
This research aims to understand the Information exchange (IE) behavior and its impact on facilitating the decision-making process within the domain of Information System research. Even though IE is prevalently addressed in IS research, yet there is a lack of theory that explains it. Current studies usually borrow different theories to explain IE; however, these borrowed theories often describe the aspects that are associated with the IE, not actual behavior of IE. This research seeks to understand the behavior of IE to improve the decision-making process of every stakeholder by sheds the light on the usage of IE, investigates the commonly used theories that describe it, and addresses the factors that motivate IE behavior. The research then proposes a theory that explains the IE behavior among multiple stakeholders with a focus on supporting the decision-making process which would represent significant contributions to the IE research in IS.
Recommended Citation
Bazarah, Ali Mohammed and Li, Yan, "Theorizing Information Exchange among Multiple Stakeholders to Support Decision Making" (2020). AMCIS 2020 Proceedings. 17.
https://aisel.aisnet.org/amcis2020/adv_info_systems_research/adv_info_systems_research/17
Theorizing Information Exchange among Multiple Stakeholders to Support Decision Making
This research aims to understand the Information exchange (IE) behavior and its impact on facilitating the decision-making process within the domain of Information System research. Even though IE is prevalently addressed in IS research, yet there is a lack of theory that explains it. Current studies usually borrow different theories to explain IE; however, these borrowed theories often describe the aspects that are associated with the IE, not actual behavior of IE. This research seeks to understand the behavior of IE to improve the decision-making process of every stakeholder by sheds the light on the usage of IE, investigates the commonly used theories that describe it, and addresses the factors that motivate IE behavior. The research then proposes a theory that explains the IE behavior among multiple stakeholders with a focus on supporting the decision-making process which would represent significant contributions to the IE research in IS.
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