Entrepreneurial design of a digital health business

Software startups are an important source of innovation and wealth creation. Startups must develop and release software quickly to gain early cash flow and legitimacy for firm survival. They must search and identify a suitable market in a tight time frame. A ambiguity in the quality of the novel software designed can further intensify uncertainty for startups. Also, the entrepreneur-investor relationship is a critical conduit for financial and social resources, yet the investors’ influence on software design is understudied. This leads to the following research question: How does the entrepreneurial context in which the startup operates affect software design process and product in the early years? Given the exploratory nature of the research question, I drew on an eighteen-month, participant-observation case study of a three-year-old, digital healthcare startup, HealthCom. HealthCom designed a software to facilitate knowledge transfer between nurses and patients. I leveraged the attention-based view (ABV) as an organizing framework for analysis. By looking at how the environmental context influences the designers’ attention and actions, researchers can begin to understand the rationale behind design decisions. The findings illustrate how the attention of the designers were directed by financial-focused and quality-focused attention drivers. Financial-focused attention drivers originated from players (e.g. clients and investors) that intensified pressures for funding and led to the reframing of software as an enabler of funding. This contradicted quality-focused design alternatives grounded in user requirements and software design rules. It underlined the move from attention to designs that accommodated user requirements towards those that captured emerging business opportunities. Designers had to balance the tensions between financial and quality-focused design decisions that could lead to inhibition of future growth, compromises in quality or over-optimization of quality. Designers simplified and coupled requirements throughout the design process and postponed investments of design resources to meet client-imposed deadlines. The design product became disposable, quick to build, limited in adaptability, spartan, and vulnerable, and it enabled the startup to capture the business opportunities amidst time constraints, financial pressures, and high uncertainty.Information, Risk, and Operations Management (IROM

INVESTIGATION OF CELL MEMBRANE DYNAMICS AND ORGANIZATION BY IMAGING FLUORESCENCE CORRELATION SPECTROSCOPY

Master'sMASTER OF SCIENC

THE DARK SIDE OF DIGITAL PLATFORMS: UNDERSTANDING SMALL AND MEDIUM ENTERPRISES\u27 DEPENDENCE ON THIRD-PARTY PLATFORMS

The digital platform business model has evolved and become a dominant form of economic interaction worldwide. Small and medium enterprises (SMEs) had to shift their business to platforms to survive in this new market. While existing studies show the positive side of SMEs\u27 use of platforms, there has been little research on the dark side of their participation in the platform economy, particularly their high dependence on platforms. We conducted a qualitative study to examine the mechanisms of dependence and its repercussions on SMEs\u27 performance. Our findings suggest that SMEs\u27 dependence on platforms arises from high importance, low discretion, and limited substitutability. We also find that, beyond their dependence on single platforms, SMEs generally become dependent on an oligopolistic system of dominant platforms. This dependence heightens the power asymmetry between platforms and SMEs. We highlight major manifestations of this power asymmetry, including the platform\u27s ability to restrict access to resources and to prioritize different stakeholders\u27 interests in their ecosystem

Are More Frequent Releases Always Better? Dynamics of Pivoting, Scaling, and the Minimum Viable Product

Using the system dynamics methodology, we model the minimum viable product (MVP) approach to product development and examine the impact of release frequency, planning practices and committed reengineering capacity on software development outcomes. We leverage the organizational learning, Lean Startup, and Agile methodology literature to form the underpinnings of the model and measure outcomes using cumulative market cost of failing to meet market wants and cumulative engineering cost. While shorter release cycles are better in general for achieving market fit, the relationship is moderated by planning delays and committed reengineering capacity. We show that reducing the extent of pivot in each iteration may be better for firms. Firms instead should iterate moderately and not radically during any particular release. Counter intuitively, planning delays are beneficial by reducing overreaction to spurious market signals. Finally, we discuss implications of our findings for future research on learning and planning amongst entrepreneurial firms

Searching for Product-Market Fit with Externally Developed Components: Effects on Time to Product-Market Fit

Nascent digital start-ups that leverage digital technology (DT) could use externally developed components (EDCs) to search for DT features needed for product-market fit (PMF). Drawing on the organizational search literature, we investigate the relationship between nascent digital start-ups\u27 search breadth and search depth (in terms of EDCs use) on their time to achieve PMF (proxied by the receipt of Series A funding). We employ a survival analysis using data on startups and their EDC use from Crunchbase and LinkedIn. Our results reveal that higher search breadth reduces the time to PMF, whereas higher search depth increases it. Higher levels of interdependency between the DT and nascent digital start-ups’ business strengthen search breadth’s time reduction effect. Our findings contribute to the literature on digital entrepreneurship and organizational search and offer suggestions for how nascent digital start-ups should develop their DT in the early years

A Dynamic Model of Platform Versioning and Its Impact on Third-Party Developers

Using the system dynamics methodology, we leverage extant research on digital platforms and Agile development from the information systems and strategic management literatures to create a dynamic framework for considering the effect of digital platform versioning under different levels of market dynamism. We find that the impact of platform versioning release cycle time (RCT) and the scope of platform updates on platform outcomes (number of packages available and number of downloads) depends on market dynamism, sensitivity of users’ utility to app breakage, and value of the platform’s core functionality to the developers. Among other results, we show that smaller, incremental updates of functionality are generally preferable to larger, radical updates, even in dynamic markets. In contrast, longer RCTs are preferred in less dynamic markets, while small to moderate RCTs are preferred in more dynamic markets. We conclude with an agenda for future research

On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning

Tremendous progress has been made in continual learning to maintain good performance on old tasks when learning new tasks by tackling the catastrophic forgetting problem of neural networks. This paper advances continual learning by further considering its out-of-distribution robustness, in response to the vulnerability of continually trained models to distribution shifts (e.g., due to data corruptions and domain shifts) in inference. To this end, we propose shape-texture debiased continual learning. The key idea is to learn generalizable and robust representations for each task with shape-texture debiased training. In order to transform standard continual learning to shape-texture debiased continual learning, we propose shape-texture debiased data generation and online shape-texture debiased self-distillation. Experiments on six datasets demonstrate the benefits of our approach in improving generalization and robustness, as well as reducing forgetting. Our analysis on the flatness of the loss landscape explains the advantages. Moreover, our approach can be easily combined with new advanced architectures such as vision transformer, and applied to more challenging scenarios such as exemplar-free continual learning

The temporal dimension of copresence in medical practice: the case of telestroke

This paper examines how co-presence is enacted in technology-mediated medical practices, particularly under time pressure. Extant literature highlights time (e.g. immediacy and duration of interactions) as a critical condition for copresence, but there has been little attention to the variation of copresence over time. In this paper, we investigate this variation through an ethnographic study in three emergency departments that are linked via a telemedicine system called Telestroke, which is used to diagnose and treat stroke patients at a distance. We draw on the sensemaking literature to uncover how copresence is enacted across different phases of technology-mediated medical practice. Our findings reveal four mechanisms that shape the variation of copresence across time, namely extracting cues, retrospection, perspective-taking, and selective attention.

NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names

Addressing students by their names helps a teacher to start building rapport with students and thus facilitates their classroom participation. However, this basic yet effective skill has become rather challenging for university lecturers, who have to handle large-sized (sometimes exceeding 100) groups in their daily teaching. To enhance lecturers' competence in delivering interpersonal interaction, we developed NaMemo, a real-time name-indicating system based on a dedicated face-recognition pipeline. This paper presents the system design, the pilot feasibility test, and our plan for the following study, which aims to evaluate NaMemo's impacts on learning and teaching, as well as to probe design implications including privacy considerations.Comment: DIS '20 Companio