Papers by James Du
European Sport Management Quarterly, 2021
Research Question: The COVID-19 pandemic has highlighted the need for a transformative perspectiv... more Research Question: The COVID-19 pandemic has highlighted the need for a transformative perspective on the role of sport brands in promoting fans' psychological well-being. Drawing upon attachment theory, the current research explores how individuals' involvement with sport brands may contribute to their psychological well-being in the wake of COVID-19. Research Methods: Data were collected from sport fans (n = 770) in mainland China through an online survey. Machine learningbased model selection algorithms were used to optimize the balance between the predictive power and parsimoniousness of the empirical model. Bayesian structural equation modeling was performed to examine the effects of sport brand involvement (SBI), crisis management performance, and perceived togetherness (PT) on fans' sense of hope and emptiness. Results and Findings: The results indicate that fans' involvement with sport brands was positively associated with fans' psychological wellbeing. SBI mitigated fans' perceived emptiness. This relationship was partially mediated by PT but not by crisis management performance. Furthermore, sport brands' crisis management performance and PT fully mediated the positive relationship between SBI and hope. Implications: This research contributes to theorizing the transformative role of sport brands in enhancing fans' psychological well-being. We offer an alternative view of sport branding literature by moving beyond fans' contributions to business outcomes to explore how sport brands may benefit fans' well-being. Findings highlight the importance of the transformative power of 'we' in unifying sport brands and fans amid the uncertainty of the COVID-19 pandemic.
Background: Although previous studies supported the health benefits of physical activity, these s... more Background: Although previous studies supported the health benefits of physical activity, these studies were limited to individual-level research designs. Building upon a social-ecological model, we examined the relationship between physical activity and community health—the health status of a defined group of people—while accounting for the potential endogeneity of physical activity to health.
Methods:We obtained US county-level data from the 2012 Behavioral Risk Factor Surveillance System survey and the 2014 County Health Ranking Database. We first conducted an ordinary least squares (OLS) regression analysis to examine the relationship between the rate of physical activity and community health measured by the average perceived health score for each county. We then conducted a two-stage least squares (2SLS) regression analysis to investigate this relationship after accounting for potential endogeneity.
Results: Results from the OLS analysis indicated that the rate of physical activity was positively associated with community health. Results from the 2SLS analysis confirmed that the physical activity rate remained positively associated with community health.
Conclusions: In line with the social-ecological model, our findings provide the first evidence for the health benefits of county-level physical activity. Our results support extant research that has shown relationships between physical activity and individual-level, health-related outcomes.
Sport, Recreation, and Leisure Management by James Du
Leisure Studies, 2021
The COVID-19 pandemic is having an unprecedented impact on the leisure
industry. Mandatory direct... more The COVID-19 pandemic is having an unprecedented impact on the leisure
industry. Mandatory directives such as social distancing and stay-at-home
/shelter-in-place orders reduce disease transmission and protect the health
and well-being of the public. However, such strategies might impair active
leisure participation. We identify challenges and constraints of engaging in
active leisure activities during the pandemic and explore how the general
public can use technology and big data analytics to negotiate constraints
during this uncertain time. Creative applications of big data analytics
demonstrate that negotiating active leisure constraints and battling the
pandemic are not contradictory goals. We recommend society to harness
the power of these data-driven tools to effectively navigate interpersonal,
structural, and intrapersonal constraints to active leisure while improving
the efficiency with which we combat the spread of COVID-19.
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Papers by James Du
Methods:We obtained US county-level data from the 2012 Behavioral Risk Factor Surveillance System survey and the 2014 County Health Ranking Database. We first conducted an ordinary least squares (OLS) regression analysis to examine the relationship between the rate of physical activity and community health measured by the average perceived health score for each county. We then conducted a two-stage least squares (2SLS) regression analysis to investigate this relationship after accounting for potential endogeneity.
Results: Results from the OLS analysis indicated that the rate of physical activity was positively associated with community health. Results from the 2SLS analysis confirmed that the physical activity rate remained positively associated with community health.
Conclusions: In line with the social-ecological model, our findings provide the first evidence for the health benefits of county-level physical activity. Our results support extant research that has shown relationships between physical activity and individual-level, health-related outcomes.
Sport, Recreation, and Leisure Management by James Du
industry. Mandatory directives such as social distancing and stay-at-home
/shelter-in-place orders reduce disease transmission and protect the health
and well-being of the public. However, such strategies might impair active
leisure participation. We identify challenges and constraints of engaging in
active leisure activities during the pandemic and explore how the general
public can use technology and big data analytics to negotiate constraints
during this uncertain time. Creative applications of big data analytics
demonstrate that negotiating active leisure constraints and battling the
pandemic are not contradictory goals. We recommend society to harness
the power of these data-driven tools to effectively navigate interpersonal,
structural, and intrapersonal constraints to active leisure while improving
the efficiency with which we combat the spread of COVID-19.
Methods:We obtained US county-level data from the 2012 Behavioral Risk Factor Surveillance System survey and the 2014 County Health Ranking Database. We first conducted an ordinary least squares (OLS) regression analysis to examine the relationship between the rate of physical activity and community health measured by the average perceived health score for each county. We then conducted a two-stage least squares (2SLS) regression analysis to investigate this relationship after accounting for potential endogeneity.
Results: Results from the OLS analysis indicated that the rate of physical activity was positively associated with community health. Results from the 2SLS analysis confirmed that the physical activity rate remained positively associated with community health.
Conclusions: In line with the social-ecological model, our findings provide the first evidence for the health benefits of county-level physical activity. Our results support extant research that has shown relationships between physical activity and individual-level, health-related outcomes.
industry. Mandatory directives such as social distancing and stay-at-home
/shelter-in-place orders reduce disease transmission and protect the health
and well-being of the public. However, such strategies might impair active
leisure participation. We identify challenges and constraints of engaging in
active leisure activities during the pandemic and explore how the general
public can use technology and big data analytics to negotiate constraints
during this uncertain time. Creative applications of big data analytics
demonstrate that negotiating active leisure constraints and battling the
pandemic are not contradictory goals. We recommend society to harness
the power of these data-driven tools to effectively navigate interpersonal,
structural, and intrapersonal constraints to active leisure while improving
the efficiency with which we combat the spread of COVID-19.