Burst the Filter Bubble: Towards an Integrated Tool

Formation of filter bubbles is known as a risk for democracy and can bring negative consequences like polarisation of the society, users’ tendency to extremist viewpoints, and the proliferation of fake news. Previous studies, including prescriptive studies, focused on limited aspects of filter bubbles. The current study 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 adopted and 571 papers in six top-ranked scientific databases have been identified. After excluding irrelevant studies and an in-depth study of the remaining papers, a classification of research studies is proposed. This classification is then used to propose an overall architecture for an integrated tool that synthesises all previous studies and proposes new features for avoiding filter bubbles. The study explains the components and features of the proposed architecture and describes their focus on content and agents

A Process Model for Crowdsourcing: Insights from the Literature on Implementation

The purpose of the current study is to systematically review the crowdsourcing literature, extract the activities which have been cited, and synthesise these activities into a general process model. For this to happen, we reviewed the related literature on crowdsourcing methods as well as relevant case studies and extracted the activities which they referred to as part of crowdsourcing projects. The systematic review of the related literature and an in-depth analysis of the steps in those papers were followed by a synthesis of the extracted activities resulting in an eleven-phase process model. This process model covers all of the activities suggested by the literature. This paper then briefly discusses activities in each phase and concludes with a number of implications for both academics and practitioners

Trust in Electronic Markets, A Review and Synthesis of Theories

Electronic markets have grown substantially, and they are considered as a significant form of retail. Despite this growth, the lack of physical transactions between different parties as well as concerns about the privacy of users and the security of transactions has led to a decline in users’ trust in these platforms. This deficiency has motivated many researchers to study the concept of trust in the e-commerce environment. In this paper, we have created a comprehensive and up-to-date framework that synthesises the findings of the previous studies. To achieve this aim, we use a systematic literature review method. We searched 17 top-ranked information systems journals and conferences and reviewed the resultant pool of 127 papers. Beyond investigating the antecedents and consequences of trust in e-commerce, we reviewed the theoretical basis used in the literature. The study concludes with implications of the literature for practice and a critical agenda for future research

An Exploratory Study of the Relationship between the Openness and Effectiveness of Strategic Planning

This paper focuses on a new approach for facilitating the participation of stakeholders in a process of strategic planning known as open strategic planning (OSP). OSP is recognised through three characteristics: inclusiveness, transparency, and the use of information technology (IT) tools. Drawing on the theoretical foundations of OSP, the research explores moderating factors impacting the relationship between these characteristics and OSP effectiveness by referring to qualitative data obtained from two open strategic planning projects. A secondary aim was to examine how stakeholders interpret the effectiveness of OSP in an organisational setting. Results indicate various moderating factors (level of trust, IT literacy, and diversity of participants) impacted the relationship between the characteristics of OSP and strategic planning effectiveness. The study formulates eight propositions, each is discussed in relation to the existing literature on strategic planning effectiveness. This paper is significant as it is the first exploratory research linking openness and strategic planning outcomes

How to Burst the Bubble in Social Networks?

Filter bubble has considered as a serious risk for democracy and freedom of information on the internet and social media. This phenomenon can restrict users\u27 access to information sources outside their comfort zone and increase the risk of polarisation of opinions on different topics. This in-progress paper explains our plan for conducting a prescriptive research aiming at decreasing the chance of filter bubbles formation on social networks. The paper explains a gap in the literature which is a prescriptive work considering both human and technology perspectives. To focus on this research gap, a design perspective has been selected covering two different bodies of theory as kernel theories. The paper explains the relevance of these theories, some of the primarily formed requirements derived from them and the future steps in this research. The explained future steps includes various phases of developing an Information Systems Design Theory and our strategy to evaluate the effectiveness of the developed theory

OSPM: A Design Methodology for Open Strategic Planning

Although numerous case studies and a body of theoretical work have addressed the open strategy topic (opening the strategy process to wider stakeholders groups) in the literature, approaches to implement open strategic planning has been less studied. In this study, the principles of design science research are employed, and pragmatic presuppositions from Habermas’ theory of discourse and the related literature are used to form a design methodology. The open strategic planning methodology contains a three-level architecture for a planning system, and a strategy process. The architecture component identifies three layers of the planning system. The planning process component explains a set of activities required to develop the strategic plan. The methodology is applied in two case studies and implementation challenges are discussed. This study contributes to the literature by introducing a comprehensive methodology of strategic planning and introduces new theoretical aspects to the field of open strategy

Perceived Quality Indicators of Cancer-Related Podcasts Provided by Non-Profit Cancer Organisations

Non-profit cancer organisations aim to reduce the illness caused by cancer by providing emotional support and practical information using different online resources. Cancer podcasts are one type of resource provided by those organisations to support cancer-affected people by transmitting information via audio in the form of interviews, conversations, and panel discussions. However, little is known about the quality features of these podcasts from the perspective of users. This is important to provide insights into designing podcasts that can meet the needs of cancer-affected people. Integrating the IQ assessment framework, source credibility theory, and two-factor theory of website design, this study collected data via semi-structured interviews with 14 participants to develop a framework to assess the quality of cancer-related podcasts. Results showed that all features underlying the credibility, content, and design constructs were fundamental, except for the visual appearance of the website which constituted a motivating factor for using podcasts

Integrating Users’ Perceptions to Identify Features Indicating the Quality of Cancer-Related Podcasts Provided by Non-Profit Cancer Organisations

While cancer podcasts are valuable for support and information, there is a significant gap in understanding their quality features from users’ perspectives. Understanding quality features from users’ perspectives is important to ensure that cancer-affected people receive the support they need. This study addresses this gap by combining multiple theoretical perspectives: a. the IQ assessment framework, source credibility theory, two-factor theory of website design to assess the quality of podcasts, and b. reception theory to highlight listeners’ perception of quality. These perspectives, together, enrich the concept of information systems quality and provide a comprehensive understanding of podcasts’ quality. Through semi-structured interviews with 17 cancer-affected individuals, the research found that credibility, content, and design were essential quality features, with the visual appearance serving as a motivational factor. The integration of Reception Theory highlights users’ active role in shaping quality perceptions, offering new insights into the effective design of cancer-related podcasts. This novel approach bridges a critical research gap, illuminating the complex interplay of technical and human factors in assessing podcast quality from the perspective of users

Adoption of AI in the Auditing Practice: A Case study of a Big Four Accounting Firm

This paper explores and explains key factors affecting the adoption of Artificial Intelligence (AI) in the auditing practice by a Big Four accounting firm, through the lens of the technology-organisation-environment (TOE) framework. Using the case study method, we conducted semi-structured interviews with decision-makers of the firm, complemented by secondary data. The data analysis identified significant anomalies to existing theories, revealing the specificity of adopting AI in audits. The findings showed that the firm’s adoption process was influenced by technology affordance, technology barriers, communication process, linking agents, firm scope and readiness, regulatory environment, predicted industrial changes and client’s acceptance. This study will contribute to the literature by providing a better understanding of AI adoption at the firm level, thus filling the gaps in the literature. It may strengthen the theories that underpin our understanding of the technology adoption by firms, revising, extending, and elaborating the TOE framework with more empirical evidence

What Makes AI Different? Exploring Affordances and Constraints - The Case of Auditing

This study aims to gain a comprehensive understanding of the differences between classic IT and AI artefacts. To achieve this objective, the study employs a grounded theory literature review approach and analyses 81 papers related to the application of classic IT and AI artefacts in the auditing industry. Drawing on the Technology Affordances and Constraints Theory, we examine the actions that can be potentially enabled or restricted by using classic IT and AI artefacts. This analysis allows us to conceptualise and compare the affordances and constraints associated with these two types of artefacts. The study addresses the need for more research on AI from both social and technical perspectives. Our findings may facilitate practitioners in improving their business processes and promoting effective collaboration between humans and AI