Strategic Investments for Platform Launch and Ecosystem Growth: A Dynamic Analysis

2023 | Journal of Management Information Systems | Citations: 0

Authors: Anderson Jr., Edward G.; Parker, Geoffrey G.; Tan, Burcu

Abstract: Multi-sided platforms must make decisions on both pricing and engineering invest ... Expand

Abstract: Multi-sided platforms must make decisions on both pricing and engineering investment and must continually adjust them as the platform scales over its lifecycle. Engineering investments can be allocated to features that improve a platform's standalone value, social features to take advantage of same-side network effects, or integration tools and boundary resources to facilitate third-party content creation. Guidance in the academic or practitioner literature is not granular. Moreover, relevant normative economic models that consider externalities are rarely dynamic. Hence, there is a gap in knowledge about how to best balance tradeoffs between different strategic decisions throughout the entire platform lifecycle. To begin to address this gap, we explore normative strategies for coordinating pricing and engineering investment decisions on a continuous basis under different ecosystem conditions. We build a simulation model informed by economics and marketing theory and perform extensive sensitivity analyses on key parameters in different ecosystem scenarios over a multi-period lifecycle. We find that pricing and investment strategies must continuously change to perform optimally. In particular, strategies that are most effective at launch often differ from those that are most effective during scaling as well as those most effective at maturity. We also find that the optimal strategy depends strongly on the monetization model and market aversion to price changes. Lastly, we specifically examine four different industry segments: mobile platforms, social media, the sharing economy, and business-to-business. The results provide evidence that the trajectory of platform pricing and investment strategies should greatly differ depending on industrial context. Collapse

Topics: price management digital platform social media decision making business-to-business

Methods: simulation sensitivity analysis system dynamics optimization model conjoint analysis

Theories: control theory marketing theory

Navigating within the Digitalization Journey: Results and Implications of the First Maturity Assessment of German Public Health Agencies

2023 | International Conference on Business Informatics | Citations: 0

Authors: Kauffmann, Anna Lina; Neubauer, Maria; Reinsch, Felix; Reuther, Melina; Schick, Doreen; Stark, Jeannette; Bley, Katja; Heidmann, Nick; Eymann, Torsten

Abstract: The Covid 19 pandemic revealed the need for Public Health Agencies to mature di ... Expand

Abstract: The Covid 19 pandemic revealed the need for Public Health Agencies to mature digitally. To help those agencies with their digitalization endeavor, a public health agency maturity model (PHAMM) has been developed, evaluated, and employed by 366 institutions to determine their digital maturity and to prioritize actions within digitalization projects. This paper discusses the digital maturity of German public health institutions and derives first insights into components spanning the PHAMM dimensions. Public health agencies can use these components to leverage their digital maturity in future digitalization projects. Implications are discussed for how digitalization projects with an enhanced impact can be defined and for future maturity modeling research. Collapse

Topics: IS maturity user friendliness system efficiency usability situation awareness

Methods: data transformation principal component analysis survey maturity model design science

Theories: balance theory situation awareness theory

A Prototype to Support Business Model Innovation through Crowdsourcing and Artificial Intelligence

2023 | International Conference on Business Informatics | Citations: 0

Authors: Klippenstein, Arthur; Weskamp, Dr Christoph; Laux, Florian; Neuhaus, Florian; Pfannschmidt, Karlson; Bülling, Melissa; Kassanke, Dr Stephan

Abstract: The development of new and innovative business models is a central challenge fo ... Expand

Abstract: The development of new and innovative business models is a central challenge for many companies, particularly for small and medium-sized companies. Information systems could support these companies by actively guiding them through a business model development process. However, the existing business model development tools only provide passive support for their users (e.g., digital whiteboards). Therefore, we set out to develop a prototype that actively supports its users by generating business model ideas. Informed by an existing design theory, we built a prototype relying on hybrid intelligence (i.e., the combination of human and artificial knowledge). The prototype iteratively generates new business model ideas by recombining existing knowledge, posts the ideas to a crowdsourcing platform for evaluation, and learns from the crowds' evaluation. This demonstration paper presents the prototype, the challenges we faced during its implementation, and directions for future research on machine-supported business model development. Collapse

Topics: business model crowdsourcing user interface usability value creation

Methods: design artifact design theory machine learning focus group survey

Theories: socio technical theory

Barriers Driving Nonuse of Online Medical Records: Latent Class Analysis of Chronic Patients

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Mukhopadhyay, Surma; Basak, Ramsankar; Reithel, Brian

Abstract: Online Medical Records (OMR) platforms can provide benefits to chronic disease ... Expand

Abstract: Online Medical Records (OMR) platforms can provide benefits to chronic disease patients. Yet, OMR use among them is suboptimal. The study identifies clusters among nonusers of OMR among chronic patients. The Health Information National Trends Survey (HINTS) iteration 5, Cycle 3 data were used to analyze 1071 respondents. Latent Class Analysis was run on the six reasons for nonuse (no record, speaking directly, privacy or security of the website, no Internet, login issues, and no need to access) and resulted in 3 clusters. About 19% subjects expressed multiple reasons and 69% just one strong reason. Demographic and clinical attributes were partially associated. For electronic wearable/tracking device use or electronic communication, differences among clusters were noted; persistent resisters showed lower propensities to use. Interventions to improve patient use of Internet-based health technologies should be customized and help produce patient-generated data facilitating healthcare decision-making. Collapse

Topics: health information system healthcare data electronic health record smart wearable device internet technology

Methods: latent class analysis survey regression analysis method cluster analysis

Decide Now or Later: Making Sense of Incoherence Across Online Reviews

2023 | Information Systems Research | Citations: 0

Authors: Yin, Dezhi; de Vreede, Triparna; Steele, Logan M.; de Vreede, Gert-Jan

Abstract: Mixed or inconsistent opinions are commonplace in online reviews. Prior research ... Expand

Abstract: Mixed or inconsistent opinions are commonplace in online reviews. Prior research shows that review inconsistency has different effects: its product-level manifestation in the form of inconsistent product ratings is associated with poorer sales, but its review-level manifestation in the form of two-sided arguments is associated with greater helpfulness and credibility evaluations of the review. In practice, consumers rarely consult all reviews or just a single review before they make purchase decisions. Instead, they often read a set of featured reviews (i.e., a review set) and some additional reviews if needed. Focusing on inconsistency in a review set, we introduce a new type of inconsistency across reviews that does not exist within a single review or at the level of product ratings: cross-review incoherence, which refers to disagreement among reviewers about specific product features. Based on cognitive dissonance theory, we explore how and when cross-review incoherence influences helpfulness and credibility judgments of the review set, revealing that consumers’ reactions to such incoherence might operate differently beyond an individual review. In addition, we examine how and why consumers’ judgments of a review set influence their purchase deferral—that is, the likelihood of making a buy-or-not-buy decision immediately after consulting the top reviews or deferring it until after obtaining more information. Two laboratory experiments demonstrate that cross-review incoherence increases purchase deferral via more negative evaluations of the review set that, in turn, reduce attitude certainty. In addition, the negative effect of cross-review incoherence on review set evaluations is weaker when the reviewers provide more contextual information behind their opinions. These findings deepen our understanding of inconsistency across multiple pieces of information; reveal the consequences of review evaluations during an understudied stage of consumers’ decision-making process; and provide critical implications for review platforms, companies, and reviewers. History: Paul Pavlou, Senior Editor; David (Jingjun) Xu, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1150. Collapse

Topics: decision making online review user-generated content data relevance enterprise information system

Methods: experiment chi squared test laboratory experiment conceptual modelling theory development

Theories: cognitive dissonance theory

Increasing user engagement on blockchain applications through persuasive design

2022 | HICSS | Citations: 0

Authors: Knott, Manuel; Mayer, Anne-Sophie; Strich, Franz; Fiedler, Marina

Abstract: Blockchain gives rise to many new applications and use cases and has already mar ... Expand

Abstract: Blockchain gives rise to many new applications and use cases and has already markedly changed several industries, such as financial services, energy and utilities, or healthcare. Although blockchain could potentially be used disruptively for end-user applications as well, utilizing it remains poor. It appears that the unconvincing design of many end-user blockchain applications leads to insufficient user engagement. To investigate the influence of design aspects on users’ engagement of blockchain end-user applications, we developed a blockchain application for the creative industries based on the principles of persuasive design. Hereby, we aim to contribute to research in the blockchain context on how end-user applications need to be designed to increase user engagement. By using a design science research process, we can ultimately provide a total of seven recommendations for developing persuasive blockchain applications for end-users. Collapse

Topics: blockchain mobile application website Telegram Twitter

Methods: qualitative interview design science design process design principle theoretical contribution

Public Service Values and Chatbots in the Public Sector: Reconciling Designer efforts and User Expectations

2022 | HICSS | Citations: 1

Authors: Makasi, Tendai; Nili, Alireza; Desouza, Kevin; Tate, Mary

Abstract: Chatbots are deployed across a wide range of public services, frequently to mana ... Expand

Abstract: Chatbots are deployed across a wide range of public services, frequently to manage the increased volumes of online service requests. The appropriateness of many chatbot initiatives is often challenged. One reason for this is these initiatives are largely driven by agency centric goals, often neglecting the expectations of other public stakeholders. A public service value perspective –founded on the notion of public value – offers an avenue to represent the views of other public stakeholder groups. We examine the public service values of two key stakeholder groups – designers and users and discuss how they can be reconciled. Collapse

Topics: affordance LinkedIn artificial intelligence user experience usability

Methods: chatbot qualitative interview personal interview qualitative content analysis machine learning

Theories: theory of affordance

Using ChatOps to Achieve Continuous Certification of Cloud Services

2022 | HICSS | Citations: 0

Authors: Ohagen, Paul; Lins, Sebastian; Thiebes, Scott; Sunyaev, Ali

Abstract: Continuous service certification (CSC) recently emerged as a promising means to ... Expand

Abstract: Continuous service certification (CSC) recently emerged as a promising means to provide ongoing assurances and disrupt pertinent certification approaches. CSC involves the consistent gathering and assessing of certification-relevant data by certification authorities about service operation to validate ongoing adherence to certification criteria. While research on CSC is increasing, practitioners still struggle in transferring researchers' suggestions and guidelines into practice. This study provides a tentative design and a prototype of a monitoring-based service certification (MSC) system based on the novel ChatOps approach. Iterative evaluations support our propositions that ChatOps' three key elements, a chat platform, chatbots, and third-party integrations, support the achievement of CSC. We contribute to research and practice by proving the technical feasibility of an MSC system, guiding future research and practitioners on achieving monitoring-based CSC, and validate the applicability and usefulness of extant guidelines on monitoring-based CSC proposed by prior research. Collapse

Topics: cloud computing social media Slack Kubernetes data security

Methods: design artifact chatbot design artifact testing design science design requirement

ICT Support for Refugees and Undocumented Immigrants

2021 | Communications of the Association for Information Systems | Citations: 3

Authors: AbuJarour, Safa'a; Ajjan, Haya; Fedorowicz, Jane; Köster, Antonia

Abstract: Immigrant integration has become a primary political concern for leaders in Ger ... Expand

Abstract: Immigrant integration has become a primary political concern for leaders in Germany and the United States. The information systems (IS) community has begun to research how information and communications technologies can assist immigrants and refugees, such as by examining how countries can facilitate social-inclusion processes. Migrants face the challenge of joining closed communities that cannot integrate or fear doing so. We conducted a panel discussion at the 2019 Americas Conference on Information Systems (AMCIS) in Cancun, Mexico, to introduce multiple viewpoints on immigration. In particular, the panel discussed how technology can both support and prevent immigrants from succeeding in their quest. We conducted the panel to stimulate a thoughtful and dynamic discussion on best practices and recommendations to enhance the discipline's impact on alleviating the challenges that occur for immigrants in their host countries. In this panel report, we introduce the topic of using ICT to help immigrants integrate and identify differences between North/Central America and Europe. We also discuss how immigrants (particularly refugees) use ICT to connect with others, feel that they belong, and maintain their identity. We also uncover the dark and bright sides of how governments use ICT to deter illegal immigration. Finally, we present recommendations for researchers and practitioners on how to best use ICT to assist with immigration. She is an AIS Fellow, Senior Scholar and recipient of the Association for Information System's LEO Award for Lifetime Achievement. Bentley University designated her as Scholar of the Year and a Mee Family Prize winner, the University's highest award recognizing a lifetime of scholarly achievement. She has published over 100 papers in refereed journals and conference proceedings. Her current research uses multiple methods to examine the use of social media by police departments and their communities. She has been principal investigator of a National Science Foundation project team studying design issues for police and government agency collaboration using public safety networks. Her transdisciplinary research appears in a wide range of IS, e-government, accounting, and general business journals. Collapse

Topics: information system use technology adoption user friendliness smartphone

Methods: qualitative interview design science

A proposal for minimum reusability evaluation of design principles

2021 | European Journal of Information Systems | Citations: 48

Authors: Iivari, Juhani; Hansen, Magnus Rotvit Perlt; Haj-Bolouri, Amir

Abstract: Many Design Science Research (DSR) papers in Information Systems (IS) suggest se ... Expand

Abstract: Many Design Science Research (DSR) papers in Information Systems (IS) suggest sets of design principles (DPs) that provide knowledge for creating instances, in different contexts, of IT artefacts that belong to the same class. However, despite frameworks for evaluating DSR contributions, the evaluation of DP reusability to, with and for practitioners has been largely neglected. We suggest that in order to maintain the practical relevance of DSR, papers with DPs as their key outcomes should contain a reusability evaluation of the proposed principles. We propose a framework of minimum reusability evaluation of DPs by members of the target community of practitioners. The framework comprises five criteria: (1) accessibility, (2) importance, (3) novelty and insightfulness, (4) actability and guidance, and (5) effectiveness. Collapse

Topics: enterprise resource planning social network requirements analysis user friendliness usability

Methods: design artifact design principle literature sample framework for evaluation in design science design science