Promoting safe and pro-environmental behaviors for sustainable forest management: Integrating technology acceptance model and the norm activation model
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引用次数: 0
Abstract
In recent decades, Iran's forest resources have faced severe threats due to overexploitation. This study aims to identify key factors influencing stakeholders' intentions to adopt forest conservation behaviors, utilizing a hybrid framework that combines the Technology Acceptance Model (TAM) and the Norm Activation Model (NAM). A survey-based methodology, supported by a questionnaire and analyzed using Structural Equation Modeling (SEM), was employed. The study focused on rural households living in or near the Arasbaran forests of northwestern Iran. Results indicate that the integration of TAM and NAM provides valuable insights into sustainable forest management by addressing both functional and normative motivations. The proposed framework explained 66.4 % of the variance in rural households' intentions to engage in conservation behaviors. Notably, awareness of the consequences of forest conservation emerged as the most significant predictor. These findings suggest that policymakers should prioritize raising awareness about the impacts of forest preservation to foster environmentally responsible behavior and mitigate resource depletion.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.