Australasian Journal of Information Systems

The enormous growth of social media usage has led to an increasing accumulation of data, which has been termed Social Media Big Data.Social media platforms offer many possibilities of data formats, including textual data, pictures, videos, sounds, and geolocations (Stieglitz et al., 2018).This diverse social media data has spawned numerous attractive opportunities for researchers and practitioners to analyse social media users and their behaviour.We have seen the use of social media data for the benefit of individuals and society, but we have also seen problems emerge when social media data is not managed and used within specific frameworks and with specific intent.For example, during crisis situations like the recent onset of the COVID-19 pandemic, social media data analysis could have been used to develop better situational awareness.This in turn would have allowed tailoring of messaging and the propagation of public health information in real-time, such as the location of outbreaks, to help minimise human movement and resulting health impacts.If not managed and analysed properly, however, social media data might have the opposite effect by causing complacency in those who are not directly impacted by the situation (Mirbabaie et al., 2020).Social media data, and its analysis, is complex.For companies, social media data can be investigated to identify new trends or ways to improve their products, but equally it can be used to damage their reputation by disgruntled or malicious parties.Therefore, social media data can be analysed not only by researchers, who are obliged to adhere to specific, and ethical, frameworks, but also by journalists, political parties, and companies to sell their products and ideas to social media users, who are most open to their messages, but can equally be used to cause panic, complacency, or reputational damage.This form of microtargeting raises a scientific and societal discussion about the ethical implications of profiling social media users.While some users might enjoy being confronted with news, politics and advertisements which match their mindset, the profiling of social media users can be a double-edged sword.The often highly personal data i.e., extracted social media data, can range from sexual orientation and religious beliefs to ethnic background, and might be misused in ways that we previously outline.For instance, undemocratic societies could be interested in identifying potential regime opponents, and the leaders of democratic societies can misuse social media data to spread fake news and influence opinion formation processes, as was highlighted by the Cambridge Analytica Scandal.Furthermore, social media analytics, as an analysis of big data with help of machine learning algorithms, is confronting IS researchers with typical epistemic concerns.The way that

Deborah Bunker

Shirlee-Ann Knight

Stefan Stieglitz

AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems

Editorial for the Special Section on Research on Applied Ethics: Developing Ethical Guidelines for Social Media Analytics

《应用伦理学研究特刊社论：制定社交媒体分析的伦理准则》

Social media have become not only integral parts of our private and professional lives, but also an indispensable source of data for empirical research across a variety of academic disciplines. Applying a Social Media Analytics (SMA) methodology, however, imposes heavy ethical challenges on researchers. Scholars in the Information Systems (IS) discipline must deal with a patchwork of ethical frameworks, regulations, and (missing) institutional support. To initiate a debate on how to develop a common understanding of SMA research ethics, this paper compiles a scoping review of extant literature and suggests a research agenda for IS scholarship on this matter. The review yields a total of eight fundamental principles of ethical SMA research, which provide a starting point to guiding individual researchers towards more ethical conduct. At the same time, this work unearths a multitude of intricate dilemmas that are currently unresolved. The findings of this review will encourage IS scholarship to find its own voice in the debate about social media research ethics.

Julian Marx

Milad Mirbabaie

The Investigator’s Dilemma - A Review of Social Media Analytics Research Ethics in Information Systems

调查者的困境——信息系统中社交媒体分析研究伦理综述

This is a book review of 'Digitalization Cases Vol. 2 – Mastering Digital Transformation for Global Business' edited by Nils Urbach, Maximilian Röglinger, Karlheinz Kautz, Rose Alinda Alias, Carol Saunders, Martin Wiener. The volume presents 20 case studies in the context of digitalization from four continents organized into three topical themes – Digital Disruption, Digital Business and Digital Transformation (DT).

Susanne Strahringer

Book Review: Digitalization Cases Vol. 2 – Mastering Digital Transformation for Global Business

书评：数字化案例集 第二卷 – 掌握全球商业的数字化转型

This paper provides an in-depth study of how small and medium enterprises (SMEs) use business intelligence and analytics (BI&amp;A) to derive business value and why so many SMEs fail to do so. A qualitative research approach based on semi-structured interviews with five SMEs in Australia was applied with the goal is to understand the process in which SMEs adopt BI&amp;A to derive business value. This involved exploring how owners and managers lead their employees in using data and analytical processes to derive insights to make business decisions. The findings suggest that SMEs which adopt BI&amp;A use a short and simple six-step iterative BI&amp;A process to derive insights for business process application. In addition to the short process, a longer three phase process has been identified which progresses SMEs from solving operational issues to strategic challenges. The resulting short and long BI&amp;A implementation process framework provides a progressive pathway for SME owners and managers to initiate and lead BI&amp;A transformation in their SMEs to derive greater business value. The process model considers dimensions of data, analysis, business process change, social influence, level of information use and financial returns.

Mak Wee

Helana Scheepers

Xuemei Tian

Understanding the Processes of how Small and Medium Enterprises derive Value from Business Intelligence and Analytics

理解中小企业如何从商业智能和分析中获取价值的流程

The extant contact tracing privacy literature is yet to explore the significance of user emotions in privacy-related decision-making such as whether to use such potentially privacy-invasive apps. Using social media analytics, the present study examines users’ privacy-related emotions stimulated by privacy-related aspects of contact tracing apps. A text-Convolutional Neural Network (Text-CNN)-based emotion analysis of tweets on the Indian contact tracing app Aarogya Setu and its Singaporean counterpart TraceTogether conducted in the paper reveals that users expressed negative privacy-related emotions towards these apps indicating high levels of perceived privacy risks and the perceived lack of privacy protection. For TraceTogether, users have also exhibited positive emotions to appreciate the steps taken by the government to protect their privacy. Based on these findings, the government/data controllers can devise strategies to assuage users’ negative emotions and promote positive emotions to encourage the adoption of contact tracing apps. This work incorporates privacy related emotions as key informants about user privacy concerns within the Privacy Calculus Theory. By relying on candid user opinions available through rich but inexpensive user-generated content, the research provides a quick, reliable, and cost-effective approach to study potential app users’ emotions to gain insights into privacy concerns related to any e-governance platform.

Mihir Mehta

Sourya Joyee De

Manojit Chattopadhyay

Elucidating the role of emotion in privacy-concerns: A text-Convolutional Neural Network (Text-CNN)-based tweets analysis of contact tracing apps

阐明情感在隐私担忧中的作用：基于文本卷积神经网络（Text-CNN）的接触追踪应用推文分析

Michael Davern

Stuart Black

AJIS Thinking Differently in Service of The Community

AJIS 以服务社区为宗旨的另类思考

Information systems development has recently evolved from traditional to agile and continuous forms. Continuous development (CD) methods, such as development and operations (DevOps), integrate many well-regarded parts of agile development and add collaboration among an organisation’s development, operations and quality assessment departments. We argue that requirements risk management (RRM) poses additional challenges to projects where development work is carried out quickly and continuously. However, in the literature, most methods for prioritising requirements and managing risks are more suited to traditional development. This raises the need for new tools and methodologies to meet CD challenges. As these challenges constantly evolve, project management must be able to control CD, changes in the determination of requirements and the accompanying risks. Based on a systematic literature review, we define the key features of CD and develop a conceptual three-dimensional framework that can be used to understand the organisational needs of RRM for CD.

Sanna Kainulainen

Tuure Tuunanen

Tero Vartiainen

Requirements Risk Management for Continuous Development: Organisational Needs

持续开发中的需求风险管理：组织需求

Large-scale public sector information systems (PSIS) that administer social welfare payments face considerable challenges. Between 2014 and 2023, an Australian government agency conceived and implemented the Online Compliance Intervention (OCI) scheme, widely referred to as Robodebt. The scheme's primary purpose was to apply digital transformation in order to reduce labour costs and increase recovery of overpayments. Among its key features were a simplified, but inherently erroneous, estimation method called income averaging, and a new requirement that welfare recipients produce documentation for income earned years earlier. Failure by welfare recipients to comply with mandates resulted in the agency recovering what it asserted to be overpayments. This article presents a case study of Robodebt and its effects on over 1 million of its clients. The detailed case study relies on primary data through Senate and other government hearings and commissions, and secondary data, such as media reports, supplemented by academic sources. Relevant technical features include (1) the reliance on the digital persona that the agency maintains for each client, (2) computer-performed inferencing from client data, and (3) automated decision-making and subsequent action. This article employs a socio-technical systems approach to understanding the factors underlying a major PSIS project failure, by focusing on the system's political and public service sponsors; its participants (users); the people affected by it (usees); and the broader economic, social, and political context. Practical and theoretical insights are presented, with the intention of highlighting major practical lessons for PSIS, and the relevance of an articulated socio-technical frame for PSIS.

Roger Clarke

Katina Michael

Roba Abbas

Robodebt: A Socio-Technical Case Study of Public Sector Information Systems Failure

Robodebt：公共部门信息系统失败的社技案例研究

Action Design Research (ADR) is a well-known research method within Design Science Research (DSR). An essential characteristic of the ADR method is the need for researcher-practitioner collaboration (RPC). While there is abundant research on RPC regarding information systems projects in general concerning explanatory and normative knowledge, there is very limited prescriptive knowledge on how to execute RPC in ADR projects. Successful collaboration in ADR projects is imperative since the development of socio-technical IT artefacts requires frequent interaction in organisational contexts. However, RPC can be hard to manage due to competing interests. Therefore, the purpose of this paper is to present prescriptive knowledge for how to manage RPC. We have analysed a collaborative ADR project consisting of several researchers and practitioners. Based on a grounded theory approach, we have developed theoretical models based on challenges identified in an ADR project. The models provide prescriptive knowledge regarding: shape the IT artefact based on organisational intervention, exploit the mutual dependency between developing design principles and IT artefacts, and contextualise and generalise learning. Each model involves logical relationships between: conditions for the challenges, actions taken to address the challenges and consequences of the actions taken. The guidelines were deducted from the models and consist of recommendations that could be considered in future ADR projects.

Stefan Cronholm

Hannes Göbel

Anup Shrestha

Researcher-Practitioner Collaboration in Action Design Research

行动设计研究中的研究者-实践者合作

Digital Transformation (DT) has emerged as one of the most talked-about phenomena of the decade. The rush of things around DT also exposes its challenges towards effectively integrating digital technologies into the scheme of things. The proliferating literature on DT offers a fragmented understanding and is unclear about the constituents and configuration of the phenomena. The above concerns primarily arise from insufficient theoretical grounding and deficiencies in the extant conceptualizations. To address these concerns, the article posits an over-arching research question to examine the phenomena while theoretically uncovering its foundational elements. Accordingly, the study resorts to the enterprise transformation framework to explicate the transformative aspects based on a two-phase analysis. The first phase adopts a text-mining approach for uncovering the latent themes underlying the DT scholarship, followed by a qualitative approach involving content analysis. We finally propose a theoretically motivated conceptualization of the tenets of DT. We specifically investigate the phenomenon's scope, ways, means, and ends. The proposed framework is further validated following a multi-case analysis. Our conceptualization grounds and establishes the significance of foundational elements having a theoretical basis for identifying DT. Our examination offers an implementation guide for the practice, which we delineate subsequently.

Rahul Kumar

Rahul Thakurta

Digital Transformation: An Enterprise Transformation Theory Perspective

数字化转型：企业转型理论视角

短名	AJIS
Journal Impact	2.80
国际分区	COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2)

ISSN	1039-7841, 1326-2238, 1449-8618
h-index	29

出版信息	出版商: UQ Business School, The University of Queensland，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 2009，原创研究文献占比: ，自引率:， Gold OA占比:

Australasian Journal of Information Systems

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