Knowledge Profile in PAJAIS: A Review of Literature and Future Research Directions

It is our pleasure and honor to be the Editor-in-Chief of the Pacific Asia Journal of the Association for Information Systems (PAJAIS). After cultivating over a decade, PAJAIS has become an important platform for researchers to share their high-quality papers. The mission of PAJAIS is to be a leading IS journal. Although the journal intends to have close ties with the communities in Asia Pacific regions, it is an open platform that welcomes submissions on any IS-related topics from authors around the world. In order to provide readers with a better understanding of the profile of PAJAIS, this editorial is the first in the series to summarize what has been published. Our founding editor, Prof. Ting-Peng Liang, and I started this series with a discussion of the publications in PAJAIS

Information Processing view of Electricity Demand Response Systems: A Comparative Study Between India and Australia

Background: In recent years, demand response (DR) has gained increased attention from utilities, regulators, and market aggregators to meet the growing demands of electricity. The key aspect of a successful DR program is the effective processing of data and information to gain critical insights. This study aims to identify information processing needs and capacity that interact to improve energy DR effectiveness. To this end, organizational information processing theory (OIPT) is employed to understand the role of Information Systems (IS) resources in achieving desired DR program performance. This study also investigates how information processing for DR systems differ between developing (India) and developed (Australia) countries. Method: This work adopts a case study methodology to propose a theoretical framework using OIPT for information processing in DR systems. The study further employs a comparative case data analyses between Australian and Indian DR initiatives. Results: Our cross case analysis identifies variables of value creation in designing DR programs - pricing structure for demand side participation, renewable integration at supply side, reforms in the regulatory instruments, and emergent technology. This research posits that the degree of information processing capacity mediates the influence of information processing needs on energy DR effectiveness. Further, we develop five propositions on the interaction between task based information processing needs and capacity, and their influence on DR effectiveness. Conclusions: The study generates insights on the role of IS resources that can help stakeholders in the electricity value chain to take informed and intelligent decisions for improved performance of DR programs

Information Systems Impact on Nurse Call Response – Role of Velocity and Uncertainty

The nurse call system is the lifeline for a patient in a hospital room. Nurse call systems help patients initiate calls from their room in a hospital, and the response to these calls is a crucial factor in providing timely quality care and improving patient satisfaction. Two questions arise in relation to response time. Are there differences in the response to patient calls in different hospital units? Does an IT-enabled escalation of calls to ensure care quality improve the call response efficiency and effectiveness? In this study, we explore these two research questions. We argue that differences in call response time are influenced by two operational attributes of care units: velocity and uncertainty. These attributes will determine how nursing staff view both the need and urgency associated with calls and respond to them. Internet discussion forums at allnurses.com (secondary data analysis) are used to answer the first question. The analysis validates a 2 × 2 framework, which maps four different hospital units on velocity and uncertainty dimensions. A quantitative approach is then used to address the second question by analyzing the response time differences to patient calls by different hospital units when an IT-based escalation protocol is used. Data from 1,131 patient rooms provides evidence of response time differences in different units, each with a varying degree of velocity and uncertainty. We then discuss the implications of this research for future studies on patient satisfaction using a single metric such as nurse call response time. Available at: https://journal.ecrc.nsysu.edu.tw/index.php/pajais/article/view/33