A decision-making framework for aligning business analytics with business objectives

Throughout this thesis, we discuss the impact of Business Analytics on the organizational decision-making process with the objective of designing a framework that provides the organization with extra-knowledge on how to implement and sustain their analytics. First, we develop the concept of capability using the resource-based view and the IT literature to define what is a Business Analytics capability. We then define the key capabilities that provide the organization with a competitive advantage. Moreover, we investigate the role of governance and alignment as well as the impact of the concepts on the decision making effectiveness. To provide an insight on the adjustment to be made in order to increase the organization Business Analytics performance, we emphasise the role of alignment between Information Technology governance, corporate governance, data governance and Business Analytics governance. Thereafter we create the framework based on academic and empirical research and apply this framework throughout a case study. Based on this case study we provide an academic recommendation to the investigated organization. This thesis highlights the importance of the creation of a Business Analytics governance. Also, the research provides a framework linking Business Analytics with decision making successfulness

A systematic literature review on business-IT misalignment research

There has been a large body of research on strategic alignment between business and information technology, which has also been summarised in several literature reviews. All of these studies describe that business-IT alignment has remained a focal point among business and IT leaders. However, little is known about a specific perspective, namely, on business-IT misalignment, on which, although some analytical works have been carried out over the last twenty years, no literature review has been summarised. The purpose of this article is to display and analyze relevant literature regarding business-IT misalignment and map the influential issues by conducting a systematic literature review. This study collected in sum 642 papers published from the Scopus and Google Scholar databases. Finally, 62 articles were selected for the systematic review. The study examined eight research questions for business-IT misalignment derived from recent, high-impact business-IT alignment literature reviews. Results are analyzed qualitatively to find a better understanding of the current body of knowledge in business-IT misalignment and to provide a research agenda

Information Systems Solutions for Environmental Sustainability: How Can We Do More?

We contend that too few information systems (IS) academics engage in impactful research that offers solutions to global warming despite the fact that climate change is one of the most critical challenges facing this generation. Climate change is a major threat to global sustainability in the 21st century. Unfortunately, from submissions of our call for papers presenting IS solutions for environmental sustainability, we found only one paper worthy of publication. Given that IS have been the major force for productivity increases in the last half-century, we suggest that IS scholars should immerse themselves in creating solutions for environmental problems. Moreover, information is a perquisite for assessing the state of the environment and making appropriate decisions to ameliorate identified problems. Indeed, the IS scholarly community needs to help create a sustainable society. While there is an emerging body of IS scholarship under the banner of green IS, we strongly believe that we need to step up these efforts. Our experience indicates that the emergence of green IS as an academic discipline is still by far too slow relative to the needs of society. Too few people are working on green IS given its importance, and fewer still are publishing papers about IS solutions that could contribute to dealing with climate change. In this editorial, we speculate on some reasons for why and explore how the IS discipline can grasp the opportunity to contribute to one of the most important societal challenges of our time. We identify the major barriers that we assert curtail the involvement of IS scholars in green IS research; namely, incentives misalignment, the low status of practice science, data analysis poverty, identification of research scope, and research methods. We discuss each barrier and propose solutions for them

South West Food Community: How government and community initiatives are supporting systemic change towards enhanced food security

Objective: Food security refers to adequate physical, social and economic access to food and is regarded as a complex, ‘wicked’ issue. This research aimed to understand the perspectives of initiative leaders (stakeholders), regarding their project relating to food security and its possession of characteristics associated with system change to enhance food security. Methods: Stakeholders (n=51) participated in semi-structured interviews that evaluated initiatives (n=52) against 36 desirable characteristics for system change. Transcripts were analysed using QSR NVivo and Wicked Lab’s Tool for Systemic Change. Results: Community-based initiatives often harnessed the passion of local communities to enhance food security through awareness-raising activities and partnerships. Few initiatives created conflict to disrupt the current way of working. The largest ‘window of opportunity’ included better connection between government and community groups. Conclusions: This novel contribution provided in-depth understanding of individual initiatives and patterns of working among the food security system in the South West region of Western Australia. Implications for public health: Recommendations to better foster connection between the government and community initiatives include: ensuring government worker responsibilities include task and indicator-related measures; and strengthening understanding of food security among community groups of staff and elected member roles within local government and the ways local government could be supported to harness community knowledge. © 2020 The Author

Factors affecting use of ICTs for Rational Decision-making in Healthcare Organizations of Developing Countries (DCs)

The increasing pressure of business environment of the information age is forcing the organizations of the entire world to adopt and use Information and communication technologies (ICTs) in decision making. It is well reported that private sector organizations are using information system for achieving strategic advantages and gaining financial and business benefits more than its public counterpart. The literature nevertheless offers limited understanding in regard of the impacts of ICTs on public and private health sector organization in Pakistani context. This study aims to investigate the adoption and use of ICTs in decision making of both the public and private health organizations to figure out existing differences. Factors like human and organization; three enabling technologies (TPS, MIS and EIS) and three decision-making phases (intelligence, design and choice) have been used in designing the framework of the study. Data analyses reveal that organization is the strongest factor for the success of IT. Literature also highlights that Decision making process and enabling technologies are significantly positively related with effective decision making with enabling technologies as significant factor. The finding of the study reveals that the public health organizations are far behind in using ICTs in decision making than their private counterpart. The executives of public organizations neither take interest in the adoption and use of ICTs nor have awareness and experience to solve their problems. It is worth mentioning that the Government of Pakistan is moving towards digitization.   Key words: IT-usage factors (human & organization), Enabling Technologies (EIS, MIS, TPS), Decision-making process (intelligence, design, choice) and Effective decision

Leveraging business Intelligence and analytics to improve decision-making and organisational success

In a complex and dynamic organisational environment, challenges and dilemmas exist on how to maximise the value of Business Intelligence and Analytics (BI&A). The expectation of BI&A is to improve decision-making for core business processes that drive business performance. A multi-disciplinary review of theories from the domains of strategic management, technology adoption and economics claims that tasks, technology, people and structures (TTPS) need to be aligned for BI&A to add value to decision-making. However, these imperatives interplay, making it difficult to determine how they are configured. Whilst the links between TTPS have been previously recognised in the Socio-Technical Systems theory, no studies have delved into the issue of their configuration. This configuration is addressed in this study by adopting the fit as Gestalts approach, which examines the relationships among these elements and also determines how best to align them. A Gestalt looks at configurations that arise based on the level of coherence and helps determine the level of alignment amongst complex relationships. This study builds on an online quantitative survey tool based on a conceptual model for aligning TTPS. The alignment model contributes to the conceptual development of alignment of TTPS. Data was collected from organisations in a South African context. Individuals who participated in the survey came from the retail, insurance, banking, telecommunications and manufacturing industry sectors. This study's results show that there is close alignment that emerges between TTPS in Cluster 6 which comprises of IT experts and financial planners. Adequate training, coupled with structures encouraging usage of Business Intelligence and Analytics (BI&A), result in higher organisational success. This is because BI&A technology is in sync with the tasks it is being used for and users have high self-efficacy. Further analysis shows that poor organisational performance can be linked to gaps in alignment and the lack of an organisational culture that motivates usage of BI&A tools. This is because there is misalignment; therefore respondents do not find any value in using BI&A, thus impacting organisational performance. Applying a configurational approach helps researchers and practitioners identify coherent patterns that work well cohesively and comprehensively. The tangible contribution of this study is the conceptual model presented to achieve alignment. In essence, organisations can use the model for aligning tasks, technology, people and structures to better identify ideal configurations of the factors which are working cohesively and consequently find ways of leveraging Business intelligence and Analytics

Countering Drug Resistance in the Developing World: An Assessment of Incentives across the Value Chain and Recommendations for Policy Interventions

The emergence and spread of drug resistance is draining available resources and threatening our ability to treat infectious diseases in developing countries. HIV/AIDS, tuberculosis, malaria, diarrhea, and respiratory tract infections continue to be the leading causes of death in many developing countries, many of which have already been exacerbated by resistance. Countering drug resistance often involves complex tradeoffs between activities such as the development of new products; ensuring treatment heterogeneity; and guaranteeing quality and ensuring systemic availability, affordability, compliance, adherence and rational use of drugs and diagnostics. A careful understanding of all the players involved in the resistance problem and their incentives to engage in activities that counter drug resistance is crucial for policymakers and resource managers in a range of institutions and agencies. This paper presents results gathered through quasi-structured interviews to understand these incentives and develop recommendations to better align them with resistance-countering activities.drug resistance; developing countries; HIV/AIDS; supply chains; drugs; diagnostics; recommendations; policy

Encoding the Enforcement of Safety Standards into Smart Robots to Harness Their Computing Sophistication and Collaborative Potential:A Legal Risk Assessment for European Union Policymakers

Until robots and humans mostly worked in fast-paced and yet separate environments, occupational health and safety (OHS) rules could address workers’ safety largely independently from robotic conduct. This is no longer the case: collaborative robots (cobots) working alongside humans warrant the design of policies ensuring the safety of both humans and robots at once, within shared spaces and upon delivery of cooperative workflows. Within the European Union (EU), the applicable regulatory framework stands at the intersection between international industry standards and legislation at the EU as well as Member State level. Not only do current standards and laws fail to satisfactorily attend to the physical and mental health challenges prompted by human–robot interaction (HRI), but they exhibit important gaps in relation to smart cobots (“SmaCobs”) more specifically. In fact, SmaCobs combine the black-box unforeseeability afforded by machine learning with more general HRI-associated risks, towards increasingly complex, mobile and interconnected operational interfaces and production chains. Against this backdrop, based on productivity and health motivations, we urge the encoding of the enforcement of OHS policies directly into SmaCobs. First, SmaCobs could harness the sophistication of quantum computing to adapt a tangled normative architecture in a responsive manner to the contingent needs of each situation. Second, entrusting them with OHS enforcement vis-à-vis both themselves and humans may paradoxically prove safer as well as more cost-effective than for humans to do so. This scenario raises profound legal, ethical and somewhat philosophical concerns around SmaCobs’ legal personality, the apportionment of liability and algorithmic explainability. The first systematic proposal to tackle such questions is henceforth formulated. For the EU, we propose that this is achieved through a new binding OHS Regulation aimed at the SmaCobs age.<br/

Human Agency in AI Configurations Supporting Organizational Decision-making

The integration of human intelligence with Artificial Intelligence (AI) is becoming increasingly essential for leveraging benefits in organizational decision-making. This necessitates to understand human-AI collaboration configurations for managing collaborative intelligence. However, existing literature on Human-AI collaboration lacks structure and is fragmented regarding what exactly human intelligence (HI) contributes to AI collaboration and how AI systems can be configured in the decision-making process. This paper undertakes an organizing literature review to consolidate insights from existing literature. We identify six types of human agency as involved in collaborative intelligence and synthesize the findings into six Human-AI collaborative configurations explained by a matrix framework. By illuminating the complexities of Human-AI collaboration, the framework sheds light on the need for a nuanced understanding of the imbricating roles of HI and AI in decision-making, with important implications for the design and implementation of AI systems for organizational decision-making