Mobile Business Intelligence Usage Patterns

The generation of new mobile devices and the need to make decisions ‘on the move’ led to a new technology coined as mobile business intelligence (m-BI). M-BI is different from traditional BI in terms of user profiles, level of analytics and functionalities. Although there is a growing interest from both practitioners and academics, very little is known about m-BI in general and even less on its usage. A case study research is conducted to explore how m-BI usage patterns emerge and develop. M-BI is used to investigate after a trigger, monitor real-time data, control and support liminality. Users engage with usage patterns based on the their mode (lean back or lean forward) and attention scope (narrow or wide). However, usage patterns developed are not static because m-BI users engage continuously with different usage patterns when shifting among different modes and attention scopes

The success of DSS in a police organization. An evaluation study

Decision support systems (DSS) are widely used in both public and private sectors. The objective of our research is to provide knowledge about the actual use and impact of DSS in police organizations. The system that is evaluated in this study is a DSS, recently developed and implemented in the Police organization in Skåne. There is hardly any evaluation done on these systems when used in this particular context. This evaluation will be based on the information system success model of DeLone and McLean (1992). Both quantitative and qualitative methods are used to measure the interrelated success factors of the model. Our findings show that system quality, information quality, user satisfaction, individual impact and organizational impact are at satisfying levels. The use of the system in general is low and more depended on external factors rather than system quality, information quality and satisfaction. We arrived at the overall conclusions that the DSS can be considered quite successful but on the other hand there is still room for improvement until it becomes fully functional

Of Founders and Contributors: The Construction of Authority through Personal Data Digitalization

Autocratic governance structures are prevalent in open source projects. One key figure in such a structure is the project founder, often called ‘Benevolent Dictator for Life.’ These benevolent dictators typically engage in autocratic decision-making by virtue of having founded the project or holding gatekeeping roles. However, research has overlooked how autocratic governance is formed around the Benevolent Dictator for Life and the enduring appeal of this figure in open source projects. To this end, this study aims to explore the way autocratic structures in open source projects are sustained or changed and the roles that autocratic founders play in this process. Drawing upon the CARE theory, which theorises the relationship between personal data digitalization and human dignity, we propose a conceptual model that highlights the formation of autocratic structures and the distinct roles that founders can play during this process

Patterns of Resource Integration in the Self-service Approach to Business Analytics

The main premise of Self-Service Business Analytics (SSBA) is to make business users autonomous during the data analytical process. To empower business employees, organisations are decentralising their analytical capabilities therefore adopting an SSBA approach. Yet, little is known about how employees integrate resources, such as personal competencies, environment resources including technology, and other employees’ competencies, to generate insights in SSBA. Based on the empirical data of a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify and explain two types of resource integration in an SSBA environment: direct and clustered recourse integration (including 1st tier and 2nd tier) enabled and controlled by three types of institutions. We finally discuss some organisational implications and the meaning of each sub-type of clustered resource integration

Role of Data in the Building of Legitimacy for Green Bonds — Capturing, Contextualizing, and Communicating

Green bond markets promise to fight climate change by encouraging green investments. Yet, the real-world complexity of quantifying the green impact of sustainable initiatives might be exploited for greenwashing, thus threatening the entire market's credibility. Advances in business analytics research and practice hold the potential to untangle this complexity. This study aims to explore how one can engage with data to build the legitimacy of green bonds. In particular, we detail data-related needs, requirements, and challenges that are critical to take into account for designing relevant and effective information system artifacts that will support green bond markets. Through focus groups, interviews, and secondary data analysis, we identify capturing, contextualizing, and communicating green impact as core activities for bond issuers toward ensuring legitimacy for their green bonds. Based on these findings, we outline future research avenues and propose an initial set of research questions for the business analytics and, more broadly, information systems community

Design Principles for Blockchain-based Applications in Green Bond Reporting

Emerging sustainable capital markets are crucial in reaching global climate goals. These markets’ credibility depends on the trustworthiness of data used to report the green impact of projects financed by sustainable financial instruments such as green bonds. To ensure credibility and thereby support these types of markets, the information systems field has the potential to create designs that leverage emerging technologies (in our case, blockchain) for green bond reporting. In this paper, we employ a design science research method to derive a set of design principles. These design principles discuss the most relevant blockchain concepts and reflect the characteristics of today’s green bond process. Through an artificial evaluation and demonstration of the design principles, we report on how to make informed design decisions to develop blockchain applications for green bond reporting. These findings are also significant for practitioners to develop new services or re-design current processes

The Anatomy of Scandinavian Journal of Information Systems

In this article, we look at the history of the Scandinavian Journal of Information Systems (SJIS), its publication record, place in the Scandinavian IS tradition, and future directions. We show how the journal has evolved by looking at its readership, authorship, and publications over the years. We include former editor’s perspectives on SJIS as a basis for outlining the journal’s editorial focus and policy now and in the future. We provide guidance to prospective authors considering submitting their manuscripts to the journal in terms of types of studies and submissions that we welcome

HUMAN FLOURISHING IN THE DIGITAL ERA – WHAT RESPONSIBILITY DOES/SHOULD IS RESEARCH(ERS) HAVE?

The panelists will bring forth different positions regarding human flourishing in the digital era. They will provide their educated guess and assessment of how further technological progress would impact the situation further and increase the challenge, but also bring forth possible resolutions

The Anatomy of Scandinavian Journal of Information Systems

In this article, we look at the history of the Scandinavian Journal of Information Systems (SJIS), its publication record, place in the Scandinavian IS tradition, and future directions. We show how the journal has evolved by looking at its readership, authorship, and publications over the years. We include former editor’s perspectives on SJIS as a basis for outlining the journal’s editorial focus and policy now and in the future. We provide guidance to prospective authors considering submitting their manuscripts to the journal in terms of types of studies and submissions that we welcome.Peer reviewe

Towards Ethical Big Data Artifacts: A Conceptual Design

Although Big Data generates many benefits for individuals, organizations and society, significant ethical issues are forcing governments to review their regulations so that citizens’ rights are protected. Given these ethical issues and a gradual increase of awareness about them, individuals are in need of new technical solutions to engage with organizations that extract value from Big Data. Currently, available solutions do not adequately accommodate the conflicting interests of individuals and organizations. In this paper, we propose a conceptual design for an artifact that will raise awareness amongst individuals about Big Data ethical issues and help to restore the power balance between individuals and organizations. Furthermore, we set forward a design agenda outlining future activities towards building and evaluating our proposed artifact. Our work is grounded in discourse ethics and stakeholder theory and intertwined with the European General Data Protection Regulation (GDPR