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How Users Drive Value in Two-sided Markets Platform Designs That Matter 1
Extant research has popularized the perspective that strong network effects produce “winner-take-all” outcomes, which leads platforms to invest in user growth and encourages investors to subsidize these platforms. However, user growth does not necessarily imply strong user stickiness. Without user stickiness, strong network effects in the current period may fade in future periods, thus rendering a user growth strategy ineffective. By adding a time dimension to network effects, we developed a model of cross-period and within-period network effects to explain how different types of network effects drive value. We emphasize that the cross-period same-side network effect contributes to user stickiness, while the within-period cross-side network effect persists conditional on user stickiness. We propose that one reason for platforms having heterogeneous cross-period same-side network effects is because of the “product learning” mechanism: it is expected that products with higher uncertainty have a stronger cross-period same-side network effect. Based on different drivers, we extend the customer lifetime value model (CLV2) to two-sided platform markets, allowing us to measure how different interventions drive platform value. Using Groupon data, we verify our insights and discuss platform design choices that enhance user stickiness when the cross-period same-side network effect is weak
Corporate venture capital and the boundaries of the firm
This study presents a novel measure of the overlap between a Corporate Venture Capital (CVC) investor and an entrepreneurial firm in the product, market, and technology spaces. Using this measure, we present an alternative parallel framework to understand an incumbent's decision to invest in or acquire a startup, grounded in the boundaries of the firm theory. The CVC's distinct features regarding property rights and incomplete contracting are preferred when the overlap is low. Also, CVC investments spur the greatest ex-post change in firm scope when the startup has moderate (vs. low or high) overlap with the corporate investor
The impact of population aging on corporate digital transformation:Evidence from China
Labor shortages caused by population aging may directly compel enterprises to undergo digital transformation or indirectly pose a continuous challenge owing to insufficient talent reserves. Currently, no studies have explicitly explored the impact of population aging on corporate digital transformation. To clarify this relationship, this study integrates population aging and corporate digital transformation into the same theoretical framework and uses panel data from China's Shanghai and Shenzhen A-share listed companies. A multiple linear regression model is employed for theoretical analysis and empirical testing. The findings indicate that, first, population aging promotes corporate digital transformation, a conclusion that remains robust after a series of robustness checks and consideration of endogeneity issues. Second, the impact of population aging on corporate digital transformation exhibits significant heterogeneity across industries and regions. Specifically, the aging population has a more pronounced effect on the digital transformation of labor-intensive enterprises and companies located in the eastern regions, where the degree of aging is more pronounced. The conclusions of this study provide empirical evidence and policy implications for actively responding to population aging and advancing corporate digital transformation in the context of an aging population
Asymmetry Theory: A Unified Mathematical Framework for Classical and Relativistic Phenomena from Principle of Light-speed Constancy
Asymmetry Theory (AT) is a unified mathematical framework that derives both classical and relativistic phenomena from a single empirically validated principle: light propagates at constant speed c from its emission origin. By retaining classical time and space, while introducing observer-dependent light velocity, AT bridges the conceptual divide between classical mechanics and relativistic physics, providing a common mathematical foundation that encompasses both regimes within a coherent structure.
From this single principle, AT derives: (1) a light observed velocity formula explaining the Sagnac effect, GPS one-way light speed measurements, stellar aberration, and optical clock variation; (2) a unified formula encompassing both classical and relativistic Doppler effects, cosmological redshift, and Cherenkov radiation; (3) electrodynamics equations addressing particle acceleration, mass-energy equivalence, and matter waves; (4) an observer-frame formulation of Maxwell's equations that directly yields Doppler and Sagnac effects as solutions.
AT reproduces all validated predictions of Special Relativity (STR) when the observer’s motion is perpendicular to the “source-observer” line, while preserving classical time synchronization and causality and naturally handling non-inertial frames.
AT maintains consistency with all established empirical evidence: Michelson-Morley, optical cavity resonators, Hafele-Keating, optical clock, Ives-Stilwell spectroscopy, particle accelerators, muon decay, nuclear reactions and GPS Sagnac corrections. It also reconciles with the contested Gezari lunar ranging and Thim microwave. We demonstrate that the extensive empirical evidence traditionally cited as validating STR equally supports AT - a unified framework based on classical spacetime.
To distinguish from STR, AT is empirically testable with novel predictions: (1) Sagnac phase shift Δt = 2vL/c² in inertial frame; (2) momentum asymmetry for parallel acceleration versus deceleration. A motion-controlled interferometer with first order sensitivity detecting two-way light speed deviation is proposed for the confirmative test of AT
Science-Based Principles for Food Classification Based on Processing and Formulation to Support Public Health
The objective of this initiative is to generate a set of Principles (range of 5-10) to which scientists across areas of expertise and perspective will agree should be referenced when conducting or evaluating research that involves classification of foods based on processing or formulation.
The final publications can be found at: https://advances.nutrition.org/article/S2161-8313(25)00215-7/fulltext. Additionally, a copy of the paper has been added to the Files
GPCR CG MD
Coarse grained MD trajectories for different GPCRs for studying protein-cholesterol interactions
Family Paths Towards Abusive or Benevolent Supervision:Parental Influence to Leader Behaviors via Goal Orientations
It is widely recognized that leaders differ in their styles. For example, some leaders treat their subordinates benevolently, whereas others show a cold or abusive style. However, the origins of these two ethically contrasting leadership styles are still not fully understood. Building on the attachment theory and goal orientation theory, our research establishes an integrative theoretical framework that links leaders' early life experience of parenting styles with leaders' abusive and benevolent behaviors via the mediating role of goal orientation. Across two multi-source studies conducted among leaders and their subordinates, we found that leaders raised by authoritarian parents were likely to exhibit abusive supervision. This link was mediated by leaders' performance-prove goal orientation. In contrast, leaders raised by authoritative parents were likely to exhibit benevolent behaviors. Leaders' learning goal orientation mediated this link. Our dual-path model advances the ethical discourse within leadership research by providing a unified developmental account for these two ethically opposite behaviors
RELATE Rhizosphere Priming Data
Rhizosphere priming data from upland and wetland ecosystems. This database will be updated on a regular basis until 10/2028 in the framework of the DFG Emmy Noether project RELATE (502681570)
Bridging the mental health care gap for international students via digital interventions: conceptual foundations and a five-stage model for culturally sensitive design
International students tend to underutilize and benefit less from traditional mental health services compared to their domestic counterparts. This conceptual and theoretical paper aims to articulate the significance of digital mental health interventions (DMHIs) to expand mental health service access for international students, propose approaches for designing culturally sensitive DMHIs for international students, and inspire more rigorous research on these interventions. We explore the definition, types, and efficacy of DMHIs. We outline the unique promise of these interventions in reducing barriers to health service access encountered by international students. Most importantly, a five-stage model is proposed to guide the design and testing of equitable and culturally adapted DMHIs for international students. To illustrate these points, we discuss and critically evaluate existing studies of DMHIs for international students. Recent studies supported the potential benefits of DMHIs for improving international students’ psychological distress and well-being. However, the evidence base remains limited in scope and rigor. Future studies can apply the proposed five-stage cultural adaptation framework to guide the development and evaluation of DMHIs for international students. Researchers may conduct well-powered randomized controlled trials, examine correlates of intervention use, co-develop DMHIs with international students, and integrate DMHIs within the larger system