This study investigates when artificial intelligence (AI)-mediated data capture is experienced as service versus exploitation. Drawing on a Cadence–Control–Calculus framework, we theorize data capture cadence (continuous vs. intermittent), perceived value-for-data exchange (PVDE), and individual differences as joint determinants of perceived exploitation. An online mixed 2 × 2 experiment combines a within-person contrast of continuous versus intermittent capture with a between-subjects motivational prime (motivated reasoning vs. neutral reasoning). Continuous (vs. intermittent) cadence modestly increases perceived exploitation, distrust, and risk, while perceived control does not differ. Motivated reasoning increases PVDE, which in turn lowers exploitation appraisals and indirectly raises willingness to adopt continuous capture. Positive attitudes toward AI and greater AI familiarity further attenuate exploitation-related judgments, whereas socioeconomic status shows no association. The findings extend privacy-calculus and motivated-reasoning accounts by specifying PVDE as a motivationally elastic mechanism linking cadence choices to consumers’ exploitation appraisals and offer guidance for calibrating cadence, value delivery, and privacy stewardship.
This study examines how small and medium-sized enterprises (SMEs) integrate corporate social responsibility (CSR) and human resource management (HRM) in a Confucian context. We conceptualize the CSR–HRM nexus as an institutionally embedded translation mechanism shaped by community and family logics. Drawing on qualitative data from Korean SMEs, we develop a three-level framework—macro-level societal logics, meso-level CSR–HRM arrangements, and micro-level managerial discretion—to show how institutional logics are materialized and enacted in employment relations. We contribute by showing how institutional logics structure CSR–HRM integration, how CSR and HRM co-evolve through embedded value systems, and how family logic can extend beyond family ownership. We further show how family logic is expressed through paternalistic employment relations in which care and managerial discretion coexist, creating a largely aligned CSR–HRM configuration while leaving latent power asymmetries. This specifies a boundary condition for more conflict-oriented accounts of multiple logics and CSR–HRM.
Recent management literature emphasizes the need to model complex dynamic relationships, including autoregression, endogeneity, and lagged effects, and often turns to panel data as a solution. This article proposes a structural equation modeling (SEM) framework for panel data that accommodates these complexities through simultaneous equations, latent variables, and covariation between endogenous regressors and disturbance terms. We illustrate the approach using empirical data on how firms’ research and development (R&D) investment—a potentially endogenous regressor—affects firm performance. Results show that parameter estimates are highly sensitive to how endogeneity and lagged effects are specified. To aid interpretation, we compute dynamic quantities—response functions, cumulative effects, and long-run multipliers—directly from SEM estimates. Monte Carlo simulations further demonstrate the estimation bias that arises from misspecification, such as omitted lags or failure to account for endogeneity. JEL CLASSIFICATION: M10, M21, C15, C33, C36, O32
Although formal education is widely viewed as an important determinant of individual welfare, evidence on its relationship with entrepreneurs' subjective well-being (SWB) remains mixed. Drawing on institutional theory, we examine how two types of country-level institutional supports- entrepreneurial education support and entrepreneurial funding support-influence the well-being returns associated with education-based human capital. Using multilevel data from 4,412 entrepreneurs across 20 countries and integrating the latest wave of the World Values Survey with institutional indicators from the Global Entrepreneurship Monitor and the World Bank, we find that these institutional supports moderate the formal education - SWB relationship in opposite ways. Specifically, entrepreneurial funding support makes formal education-SWB more positive, whereas entrepreneurial education support makes it more negative, such that highly educated entrepreneurs report lower SWB in countries with higher entrepreneurial education support. These findings underscore the functional heterogeneity of institutional support and clarify why prior evidence on the formal educationona - well-being nexus among entrepreneurs has been inconsistent.
We investigate how academic entrepreneurs who maintain their primary paid jobs at academic institutions while engaging in entrepreneurial activities differ from other entrepreneurs in choosing funding sources and exit modes. We suggest that academic entrepreneurs prefer to exit through acquisitions instead of initial public offerings to mitigate the role conflict arising from competing academic and industrial institutional logics. We also argue that ventures founded by academic entrepreneurs are more likely than other ventures to receive funding from corporate venture capital investors because such investment relationships can help them achieve their preferred exit mode of acquisition by effectively disclosing the value of their technological resources to potential acquirers. We test our arguments using a sample of U.S. medical device ventures. JEL CLASSIFICATION: L26; M13; G24
