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Editorial for the Indigenous use of Information and Communication Technologies Section
Get PDFEditorial for the Indigenous use of Information and Communication Technologies Sectio
Social Architecture: An Emergency Management Case Study
Get PDFEmergency management agencies are progressively using social media for the sourcing and distribution of disaster information. Emergency management agencies are often unsure as to how to best identify and assess social media concerns (e.g. information security, trust) which must be addressed to develop a social media-enabled disaster information management environment. This paper adopts the Social Architecture Viewpoint Assessment (SAVA) framework for identifying and assessing social media concerns from four different viewpoints: IT, Value, Resource and Management. This paper demonstrates the use of the SAVA framework in the context of an in-depth empirical case study of an Australian emergency management agency. The results of this study indicate that the SAVA framework is useful for emergency information management managers in identifying and assessing social media concerns
IT and Fast Growth Small-to-Medium Enterprise Performance: An Empirical Study in Australia
Get PDFInformation technology (IT) is regarded as a facilitator for both small and large firms to speed up transactions between firms and their suppliers and customers, achieve real-time communication, lower transaction costs, and enhance speed and flexibility. However, understanding whether and how IT helps small-to-medium enterprises (SMEs) to create business value still remains unclear. Drawing upon resource-based view theory, source-positional advantage-performance framework, we develop and test a theoretical model to explore the interrelationships between IT resources (IT expertise, IT infrastructure), IT capability (IT integration), IT-enabled inter-firm partnership processes (activity integration, coordination, partnership enhancement), and organizational performance in the fast growth SME context. We propose that IT business value depends on how firms employ IT resources to develop IT capability which facilitates inter-firm partnership processes along value chains. Structural equation modeling is employed to test our theoretical conceptualization of 310 Australian fast-growth SMEs across different industrial sectors. Results show that IT contributes to fast growth SME performance through the development of IT capability and enhancement of inter-firm partnership activities. This research highlights the role of IT in business value creation and the ways in which IT is used by fast growth SMEs to foster core business competencies
Improving the Decision Value of Hierarchical Text Clustering Using Term Overlap Detection
Get PDFHumans are used to expressing themselves with written language and language provides a medium with which we can describe our experiences in detail incorporating individuality. Even though documents provide a rich source of information, it becomes very difficult to identify, extract, summarize and search when vast amounts of documents are collected especially over time. Document clustering is a technique that has been widely used to group documents based on similarity of content represented by the words used. Once key groups are identified further drill down into sub-groupings is facilitated by the use of hierarchical clustering. Clustering and hierarchical clustering are very useful when applied to numerical and categorical data and cluster accuracy and purity measures exist to evaluate the outcomes of a clustering exercise. Although the same measures have been applied to text clustering, text clusters are based on words or terms which can be repeated across documents associated with different topics. Therefore text data cannot be considered as a direct ‘coding’ of a particular experience or situation in contrast to numerical and categorical data and term overlap is a very common characteristic in text clustering. In this paper we propose a new technique and methodology for term overlap capture from text documents, highlighting the different situations such overlap could signify and discuss why such understanding is important for obtaining value from text clustering. Experiments were conducted using a widely used text document collection where the proposed methodology allowed exploring the term diversity for a given document collection and obtain clusters with minimum term overlap
A New User Model based Interactive Product Retrieval Process for improved eBuying
Get PDFWhen searching for items online there are three common problems that e-buyers may encounter; null retrieval, retrieving unmanageable number of items, and retrieving unsatisfactory items. In the past information retrieval systems or recommender systems were used as solutions. With information retrieval systems, too rigorous filtering based on the user query to reduce unmanageable number of items result in either null retrieval or filtering out the items users prefer. Recommender systems on the other hand do not provide sufficient opportunity for users to communicate their needs. As a solution, this paper introduces a novel method combining a user model with an interactive product retrieval process. The new layered user model has the potential of being applied across multiple product and service domains and is able to adapt to changing user preferences. The new product retrieval algorithm is integrated with the user model and is able to successfully address null retrieval, retrieving unmanageable number of items, and retrieving unsatisfactory items. The process is demonstrated using a bench mark dataset and a case study. Finally the Product retrieval process is evaluated using a set of guidelines to illustrate its suitability to current eBuying environments
A Post Publication Review of “IS Project Risks as Emergent Phenomena: Towards a Model of Risk Escalation and its Management”
No full textA short post publication review of a recent AJIS paper
Demystifying online personas of Vietnamese young adults on Facebook: A Q-methodology approach
Get PDFAs online social networking sites (SNS) are becoming a part of many people’s daily life, they have become a topic of interest that attracts the attention of both academics and practitioners. The users’ behaviours on those sites are complex and have important implications. Individuals can use a wide range of SNS’s functionalities, for example, to socialise and promote their online identities or find friends of common interests. Reckless online behaviours on SNS have been shown to result in breaches of privacy and other risks such as cyber-bullying, cyber-stalking, and job loss. As a result, there are many concerns over these problems that prevent SNS from reaching their full potential. Given the vast number of user’s concerns, identified by prior studies, there is a need to explore a typology of users that classifies online personas. This typology would reveal more about the users’ needs and help improve their experience on SNS. To achieve that goal, we collected data from fourteen Vietnamese young adults of different backgrounds who use Facebook, which was then analysed with Q factor analysis. The findings suggested three distinctive online personas that include the Outgoing Connector, the Reserved Trustor, and the Threats Perceiver. Implications for marketing tactics and design of better users’ experiences on social networking sites were discussed, and the proposed typology could serve as a starting point for future research to further explore the different types of social media’s users
ICT-Enabled Time-Critical Clinical Practices: Examining the Affordances of an Information Processing Solution
Get PDFIn this paper, we present a case study of a decision-support system deployment at The Alfred Hospital, in Melbourne, Australia. This work outlines Information and Communications Technology (ICT) affordances and their actualisations in time-critical clinical practices to enable better information processing. From our study findings, we present a stage-wise model describing the role played by ICT in the context of the Trauma Centre practices. This addresses a knowledge gap surrounding the role and impact of ICT in the delivery of quality improvements to processes and culture in time-critical environments, amid increasing expenditure on ICT globally. Our model has implications for research and practice, such that we observe for the first time how information standards, synergy and renewal are developed between the system and its users in order to reduce error rates in the healthcare context. Through the study findings, we demonstrate that healthcare quality can be further refined as ICT allows for knowledge dissemination and informs existing practices
A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness
Get PDFBusiness intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results to inform BIA strategy formulation. Feedback from participating organizations indicates that BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment
A Review and Comparative Analysis of Security Risks and Safety Measures of Mobile Health Apps
Get PDFIn line with a patient-centred model of healthcare, Mobile Health applications (mhealth apps) provide convenient and equitable access to health and well-being resources and programs that can enable consumers to monitor their health related problems, understand specific medical conditions and attain personal fitness goals. This increase in access and control comes with an increase in risk and responsibility to identify and manage the associated risks, such as the privacy and security of consumers’ personal and health information. Based on a review of the literature, this paper identifies a set of risk and safety features for evaluating mHealth apps and uses those features to conduct a comparative analysis of the 20 most popular mHealth apps. The comparative analysis reveals that current mHealth apps do pose a risk to consumers. To address the safety and privacy concerns, recommendations to consumers and app developers are offered together with consideration of mHealth app future trends