Monitoring the Complexity of IT Architectures: Design Principles and an IT Artifact

Monitoring the complexity of a firm’s IT architecture is imperative to ensure a stable and flexible platform foundation for competing in the era of digital business strategy. However, IT architects lack IT support for dealing with this important problem. We engaged with five companies in a significant design science research (DSR) program and drew on the heuristic theorizing framework both to solve this problem through evolving IT artifacts and to accumulate nascent design knowledge. We base the design knowledge development on a conceptual framework involving three essential concepts for understanding and solving this problem: structural complexity, dynamic complexity, and problem-solving complexity. Drawing on this foundation, we address the research question: How can IT support be provided for reducing the problem-solving complexity of monitoring the structural and dynamic complexity of IT architectures in the context of a digital business strategy? To answer this question, we present a set of design principles that we derived from our iterative process of IT artifact construction and evaluation activities with five companies. Our nascent design knowledge contributes to the research on IT architecture management in the context of digital business strategy. In addition, we also contribute to the understanding of how, through the use and illustration of the heuristic theorizing framework, design knowledge can be accumulated systematically on the basis of generalization from IT artifact construction and evaluation outcomes generated across multiple contexts and companies

CONSUMERIZATION OF IT – WHERE IS THE THEORY?

Consumerization of IT (CoIT) is a key trend affecting society at large, including organizations of all kinds. A consensus about the defining aspects of CoIT has not yet been reached. Some refer to CoIT as employees bringing their own devices and technologies to work, while others highlight different aspects. While the debate about the nature and consequences of CoIT is still ongoing, many definitions have already been proposed. In this paper, we review these definitions and what is known about CoIT thus far. To guide future empirical research in this emerging area, we also review several established theories that have not yet been applied to CoIT but in our opinion have the potential to shed a deeper understanding on CoIT and its consequences. We discuss which elements of the reviewed theories are particularly relevant for understanding CoIT and thereby provide targeted guidance for future empirical research employing these theories. Overall, our paper may provide a useful starting point for addressing the lack of theorization in the emerging CoIT literature stream and stimulate discussion about theorizing CoIT

Ambidextrous IS Strategy: The Dynamic Balancing Act of Developing a ‘Transform & Merge’ Strategy in the Banking Industry

Motivated by the lack of empirical IS strategy research in the M&A problem domain, in this paper we present a revelatory case study of a 7-year-long organizational balancing act of searching for the right information systems (IS) strategy in the pre-deal phase of a bank merger. Our case study is about simultaneous IT-driven organizational transformation and merger-driven integration, providing us with a fertile ground to study the development and evolution of ambidextrous IS strategies, which are underresearched. Based on the theoretical insights that emerge from our case study, we extend Chen et al.’s (2010) IS strategy typology and propose three different archetypes of IS ambidextrous strategy. Further theoretical insights relate to the required organizational capabilities for the successful implementation of IS ambidextrous strategies as well as the co-evolutionary interplay between business and IT units in that process. Future research should empirically test the IS ambidextrous strategy archetypes proposed here

Changes in the Producer-Consumer Relationship - Towards Digital Transformation

The purpose of this paper is to analyze shifts in the producer-consumer relation-ship resulting from the increased use of digital technologies. In this study, we aim to understand how this relationship is fundamentally changing and the role of digital technologies in such a change. Therefore, we provide a state-of-the-art re-view of information systems and management literature using analysis techniques borrowed from the method of grounded theory. The results of our study indicate that the constructs of digital density, digital interconnectedness, and consumer-centricity are key drivers of changes in the producer-consumer relationship. With the growing role of digital technologies in both society and organizations, our study contributes with implications for information technology and business managers, offering them insights on how to deal with this phenomenon. Finally, our study provides a useful framework for future interdisciplinary research in this field

Exploring Design Principles for Human-Machine Symbiosis: Insights from Constructing an Air Transportation Logistics Artifact

This paper reports the findings of a proactive design science research project involving the construction, evaluation, and organizational introduction of an information technology (IT) artifact in the context of air transportation logistics. Drawing on our insights from instantiating an IT artifact and embedding it into the organization of a major provider of unit load device management for airlines, we explore the idea that IS-driven automation in digitalizing environments is more limited by socio-economic factors than digital-technological capabilities. Both our IT artifact and the abstracted design principles we generated through heuristic theorizing (HT) are novel, enhancing the information system (IS) design knowledge base of human-machine symbiosis and IT artifacts. Overall, our findings contribute to a better understanding of how to design human-machine symbiosis in information systems

The economic costs of schizophrenia: implications for public policy

The direct and indirect costs associated with schizophrenia in Australia were calculated using the incidence approach and compared with similar costings of myocardial infarction in Australia and the United States. In Australia schizophrenia affects one-twelfth as many people as does myocardial infarction, yet costs half as much. This is because the stream of costs associated with each case of schizophrenia is six times the stream of costs associated with myocardial infarction. To illustrate the utility of this costing approach, the information was used to estimate the cost-benefit ratio likely to follow the introduction of social intervention strategies. The information also showed that Australian support for research in schizophrenia is inadequate when compared with that for myocardial infarction and quite out of proportion to the cost of schizophrenia to the community

Digital Transformation of Primarily Physical Industries - Exploring the Impact of Digital Trends on Business Models of Automobile Manufacturers

The phenomenon of digital transformation received some attention in previous literature concerning industries such as media, entertainment and publishing. However, there is a lack of understanding about digital transformation of primarily physical industries, whose products cannot be completely digitized, e.g., automotive industry. We conducted a rigorous content analysis of substantial secondary data from industry magazines aiming to generate insights to this phenomenon in the automotive industry. We examined the impact of major digital trends on dominant business models. Our findings indicate that trends related to social media, mobile, big data and cloud computing are driving automobile manufactures to extend, revise, terminate, and create business models. By doing so, they contribute to the constitution of a digital layer upon the physical mobility infrastructure. Despite its strong foundation in the physical world, the industry is undergoing important structural changes due to the ongoing digitalization of consumer lives and business

The role of artificial intelligence and data network effect for creating user value

Some of the world’s most profitable firms own platforms that exhibit network effects. A platform exhibits network effects if the more people that use it, the more valuable that it becomes to each user. Theorizing about the value perceived by users of a platform that exhibits network effects has traditionally focused on direct and indirect network effects. In this paper, we theorize about a third type of network effects—data network effects—that has emerged from advances in artificial intelligence (AI) and the growing availability of data. A platform exhibits data network effects if the more that the platform learns from the data it collects on users, the more valuable the platform becomes to each user. We argue that there is a positive direct relationship between the AI capability of a platform and the value perceived in the platform by its users—a relationship that is moderated by platform legitimation, data stewardship and user-centric design

A high-throughput screen to identify inhibitors of SOD1 transcription

Amyotrophic lateral sclerosis (ALS) is a fatal degenerative motor neuron disease. Approximately 20% of familial ALS cases are caused by mutations in the Cu/Zn superoxide dismutase (SOD1) gene. Rodents expressing mutant SOD1 transgenes develop progressive, fatal motor neuron disease and disease onset and progression is dependent on the level of SOD1. We investigated the possibility that a reduction in SOD1 protein may be of therapeutic benefit in ALS and screened 30,000 compounds for inhibition of SOD1 transcription. The most effective inhibitor identified was N-{4-[4-(4-methylbenzoyl)-1-piperazinyl]phenyl}-2-thiophenecarboxamide (Compound ID 7687685), which in PC12 cells showed an EC50 of 10.6 microM for inhibition of SOD1 expression and an LD50 >30 microM. This compound was subsequently shown to reduce endogenous SOD1 levels in HeLa cells and to exhibit a modest reduction of SOD1 protein levels in mouse spinal cord tissue. These data suggest that the efficacy of compound 7687685 as an inhibitor of SOD1 gene expression is not likely to be clinically useful, although the strategy reported could be applied broadly to screening for small molecule inhibitors of gene expression

Daclatasvir in combination with asunaprevir and beclabuvir for hepatitis C virus genotype 1 infection with compensated cirrhosis

Importance Effective and well-tolerated, interferon-free regimens are needed for treatment of patients with chronic hepatitis C virus (HCV) infection and cirrhosis. Objective All-oral therapy with daclatasvir (nonstructural protein 5A [NS5A] inhibitor), asunaprevir (NS3 protease inhibitor), and beclabuvir (nonnucleoside NS5B inhibitor), with or without ribavirin, was evaluated in patients with HCV genotype 1 infection and compensated cirrhosis. Design, Setting, and Participants The UNITY-2 study was conducted between December 2013 and October 2014 at 49 outpatient sites in the United States, Canada, France, and Australia. Patients were treated for 12 weeks, with 24 weeks of follow-up after completion of treatment. Adult patients with cirrhosis were enrolled in 2 cohorts: HCV treatment-naive or HCV treatment-experienced. Statistical analyses were based on historical controls; there were no internal controls. Interventions All patients received twice-daily treatment with the fixed-dose combination of daclatasvir (30 mg), asunaprevir (200 mg), and beclabuvir (75 mg). In addition, patients within each cohort were stratified according to HCV genotype 1 subtype (1a or 1b) and randomly assigned (1:1) to receive double-blinded weight-based ribavirin (1000-1200 mg/d) or matching placebo. Main Outcomes and Measures Sustained virologic response at posttreatment week 12 (SVR12). Results One hundred twelve patients in the treatment-naive group and 90 patients in the treatment-experienced group were treated and included in the analysis. Enrolled patients were 88% white with a median age of 58 years (treatment-naive group) or 60 years (treatment-experienced group); 74% had genotype 1a infection. SVR12 rates were 98% (97.5% CI, 88.9%-100%) for patients in the treatment-naive group and 93% (97.5% CI, 85.0%-100.0%) for those in the treatment-experienced group when ribavirin was included in the regimen. With the fixed-dose combination alone, response rates were 93% (97.5% CI, 85.4%-100.0%) for patients in the treatment-naive group and 87% (97.5% CI, 75.3%-98.0%) for those in the treatment-experienced group. Three serious adverse events were considered to be treatment related and there were 4 adverse event–related discontinuations. Treatment-emergent grade 3 or 4 alanine aminotransferase elevations were observed in 4 patients, of which 1 had concomitant total bilirubin elevation. Conclusions and Relevance In this open-label uncontrolled study, patients with chronic HCV genotype 1 infection and cirrhosis who received a 12-week oral fixed-dose regimen of daclatasvir, asunaprevir, and beclabuvir, with or without ribavirin, achieved high rates of SVR12