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Browsing by Author "Zhang, Stephen X."

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    Belief in a COVID-19 conspiracy theory as a predictor of mental health and well-being of health care workers in Ecuador: cross-sectional survey study
    (2020) Chen, Xi; Zhang, Stephen X.; Jahanshahi, Asghar Afshar; Alvarez-Risco, Aldo; Dai, Huiyang; Li, Jizhen; Ibarra, Verónica García
    Objective: Our aim was to provide the first evidence that belief in conspiracy theories regarding the COVID-19 pandemic is a predictor of the mental health and well-being of health care workers. Methods: We conducted a survey of 252 health care workers in Ecuador from April 10 to May 2, 2020. We analyzed the data regarding distress and anxiety caseness with logistic regression and the data regarding life and job satisfaction with linear regression.
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    Mental health symptoms and coping strategies among Ukrainians under the Russia-Ukraine War in March 2022
    (2023) Xu, Wen; Pavlova, Iuliia; Chen, Xi; Petrytsa, Petro; Graf-Vlachy, Lorenz; Zhang, Stephen X.
    Objectives: To provide the prevalence rates of symptoms of psychological distress, anxiety, depression, and insomnia; and to link them with Ukrainians’ productive coping strategies during the war. Design, setting, and participants: Online survey conducted in Ukraine during the initial period of the Russian invasion (March 19–31, 2022), using a quota sampling method, of 1,400 Ukrainians aged 18 years or older, with a total of 801 valid responses for a response rate of 57.2%.
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    Too much of two good things: the curvilinear effects of self-efficacy and market validation in new ventures
    (2024) Chen, Xi; Zhang, Stephen X.
    Interacting with customers to validate new product offerings is a crucial step in entrepreneurship, yet it requires resources that are limited in new ventures. The issue of when and how entrepreneurs allocate limited resources to acquire market information is new for marketing research, which has mainly focused on the impacts of market information acquisition. This paper investigates how entrepreneurs’ self-efficacy influences resource allocation to acquire market information and how resources allocated to market information acquisition influence new venture performance. Building on social cognitive theory and perceptual control theory, we propose that entrepreneurs with moderate marketing self-efficacy spend the most resources on market information acquisition. Since acquiring market information consumes resources, we hypothesize that a moderate level of market information acquisition is optimal for new venture performance. Regression analyses of a multi-informant three-wave survey with 210 new ventures from Canada, Chile, and China supported our hypotheses. The findings hold important implications for self-efficacy theories, information acquisition research, and lean startup.