Australian Computer Society: ACS Digital Library
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Editorial for the Special Section on Research on consumer evaluation of mobile applications: Does interactivity matter?
 
A Conceptual Tool to Eliminate Filter Bubbles in Social Networks
Reliance on social media as a source of information has lead to several challenges, including the limitation of sources to viewers’ preferences and desires, also known as filter bubbles. The formation of filter bubbles is a known risk to democracy. It can bring negative consequences like polarisation of the society, users’ tendency to extremist viewpoints and the proliferation of fake news. Previous studies have focused on specific aspects and paid less attention to a holistic approach for eliminating the notion. The current study, however, aims to propose a model for an integrated tool that assists users in avoiding filter bubbles in social networks. To this end, a systematic literature review has been undertaken, and initially, 571 papers in six top-ranked scientific databases have been identified. After excluding irrelevant studies and performing an in-depth analysis of the remaining papers, a classification of research studies is proposed. This classification is then used to introduce an overall architecture for an integrated tool that synthesises all previous studies and offers new features for avoiding filter bubbles. The study explains the components and features of the proposed architecture and concludes with a list of implications for the recommended tool
Special Section of Invited Papers from the 30th Australasian Conference on Information Systems
This article introduces the papers which were invited for this special section
Understanding the Perception of Information System Niche: Conceptualization, Measurement, and Validation
The number of niche technologies is growing, and they are getting noticed. However, the usage dynamics of such systems have not been explored. This study introduces the “niche” information systems (IS) construct to differentiate between mainstream and niche technologies and to illustrate how such differences potentially influence a person’s IS usage behavior. We posit that niche-ness is perceptual, and a measurement to gauge an individual’s niche perception in the domain of systems usage is desired. Resting on Optimal Distinctiveness theory, the study develops a novel conceptualization and operationalization of niche technology perceptions, focusing on social networking systems. Our main contribution includes the examination of the typology of the perceived niche, which results in the development and validation of an eight-item instrument for perceived technology niche through three studies. In addition, by placing the construct in a nomological network in a fourth study, we demonstrate that the perceived technology niche construct is related to IS continuance intention
Digital Support for Indigenous Research Methodologies
Research undertaken by outsiders into issues of concern to Aboriginal communities frequently ignores community culture and the knowledge embedded within Aboriginal communities. Methodologies are adopted which perpetuate the colonialist mindset of non-indigenous Australians leading to failed solutions to Aboriginal problems. This paper describes an Aboriginal-led community-based research project, exploring the role of Aboriginal Australians in caring for, and transforming, their own communities. It focuses on the roles that Information Systems can play when providing an accessible platform for Aboriginal voices. The authors conducted an in-depth case study of one Aboriginal Community Controlled Organisation (ACCO), the Illawarra Koori Men’s Support Group (IKMSG). The research consisted of a social network analysis (SNA) of the inter-organisational links of the IKMSG; interviews and focus groups with members of the IKMSG and the co-design of their first website. The prominence of the IKMSG in the SNA maps suggests that its work in the community is highly respected and that the model produced by this research can act as a guide for success in other ACCOs. The findings have been used to develop a theoretical model of Aboriginal community engagement and intervention. This model can enable authentic outcomes to projects which address Aboriginal concerns and support the conduct of community-led research in Aboriginal communities
Determinants of Digital Divide using Demand-Supply Framework : Evidence from India
In last two decades, India has seen high economic growth. Concomitantly, there has been increase in availability and use of information and communication technologies (ICTs). However, ICT penetration in India is much less when compared to global averages. There exists a substantive level of inequality in ICT access and use. Empirical studies on extent and nature of digital divide in India are few, especially those with explicit theoretical demand-supply framework, using consistent and reliable pan India data. This paper is an attempt to address these research gaps. It examines the digital divide in India across socio-economic classes and different political-geographic regions. The reduced form demand equations for two ICT instruments – Internet and mobile phone - are estimated separately for households aggregated at subnational level. A multi-variate econometric model identifies both demand and supply side factors shaping differential access by households. Findings indicate digital divide is a reflection of existing socio-economic divide. On the demand side, socio-economic inequality as manifest in the economic conditions of households, social category, occupational profile, age and education status are key determinants of district level digital divide. Further, supply side factors like availability of electricity, mobile network and extent of urbanization also play an important role
Impact on addiction of online platforms on quality of life: Age and Gender as moderators
The excessive usage of online platforms is inviting several unwanted problems in the society. The excessive use of online platforms is adversely interfering in many social activities. This uncontrolled and excessive use of online platforms is causing addiction to the users. This is unexpectedly impeding the normal social flow of life culminating an adverse effect on the individuals’ quality of life. Studies reveal that age and gender have influence towards addiction. In this background, the purpose of this study is to identify the factors impacting addiction of online platforms. From studies of several addiction theories, some hypotheses have been formulated and a conceptual model has been developed. These have been validated by Partial Least Square – Structural Equation Modeling (PLS-SEM) analysis with the help of survey involving 320 usable respondents. The study highlights that loneliness, perceived enjoyment, depression, perceived ease of use and perceived usefulness act as vital predictors of addiction of online platforms that impacts quality of life. The moderating factors age and gender are found to have effective impacts on the influence of predictors on the addiction of online platforms. The article is ended mentioning the limitations of this study incorporating the scopes for the future researchers to nurture the untouched points
Knowledge Elicitation with Aboriginal Australian communities
This paper provides techniques for engagement and data collection in researching with Aboriginal Australian cultures, acknowledging significant differences in forms of communication and usage of Information Systems to the mainstream Australian culture. An approach to trust in relationships is developed by interpreting cultural aspects arising from the diverse relationships to technology developed by Aboriginal users. This work uses the existing Honeycomb model for social media development as a base framework for collaborative web systems and online knowledge sharing in the Indigenous domain. We present a series of product development research projects based in universities in NSW Australia, in particular user experience studies, to explain the relationship between the researchers and users and the products that are created in terms of the model. Some concepts and processes fundamental to engagement with Aboriginal Australian communities in the supply of appropriate information sharing technology are discussed in this context. For if Aboriginal people are to engage in IS development, we are sharing the knowledge or the culture that is embedded in the technology which can have detrimental effects. Either we are asking them to enter the culture that created the technology, that is assimilate, or we use engagement in design to change that technology to suit the culture
Intelligent agent based framework to augment warehouse management systems for dynamic demand environments
Warehouses are being impacted by increasing e-commerce and omni-channel commerce. The design of current WMSs (Warehouse Management Systems) may not be suitable to this mode of operation. The golden rule of material handling is smooth product flow, but there are day-to-day operational issues that occur in the warehouse that can impact this and order fulfilment, resulting in disruptions. Standard operational process is paramount to warehouse operational control but may preclude a dynamic response to real-time operational constraints. The growth of IoT (Internet of Things) sensor and data analytics technology provide new opportunities for designing warehouse management systems that detect and reorganise around real-time constraints to mitigate the impact of day-to-day warehouse operational issues. This paper presents the design and development stage of a design science methodology of an intelligent agent framework for basic warehouse management systems. This framework is distributed, is structured around operational constraints and includes the human operator at operational and decision support levels. An agent based simulation was built to demonstrate the viability of the framework