Purpose This study aims to propose a model to examine the relationships between e-government development, cybersecurity commitment, business usage and economic prosperity of the country. Design/methodology/approach Structural equation modeling was used to analyze the country-level variables to explain the second-order impact of e-government development through the mediating role of cybersecurity commitment. Findings Findings suggest that e-government development demonstrated a stronger association with cybersecurity commitment and business usage. There is preliminary evidence that the improvement of cybersecurity measures initiated by e-government development will drive business usage and improve macroeconomic conditions. Research limitations/implications This paper has constructed a theoretical model and validated it using publicly available archival data. Further, this study hypothesizes and demonstrates empirically the direct, as well as indirect relationships between e-government development, cybersecurity commitment, business usage and economic prosperity. To summarize, the study unearths the role of a nation’s cybersecurity commitment and how it is associated with other macro parameters in a country. Originality/value As an initial step, the present study highlights the pivotal role of e-government and its positive influence on cybersecurity commitment at the country level. Further, this study also recognizes the role of cyber commitment to boost information communication and technology usage in business, the use of e-government services for the profitability of the business and effectively influence economic prosperity.

Despite the several advantages, adoption of the FinTech services vary across individuals in different countries. This study proposes a model to examine how the country level ICT competitiveness, demographic and socio-economic factors influence the FinTech services diffusion in a country. In this study, we use Generalized Linear Mixed Model to analyze both the individual-level and country-level variables to explain the variation in the probability of individuals adopting FinTech services while accounting for the variance at each level. National ICT competitiveness especially political and regulatory environment, Infrastructure, ICT usage by firms demonstrated a stronger influence on the adoption of FinTech services. In addition, demographic variables and socio-economic status also demonstrated stronger evidence in explaining the variation in the adoption of FinTech services.

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The on-campus residence and activities of students, faculty members, visitors, and university staff result in the generation of university campus solid waste (UCSW). An accurate forecast of UCSW generation is crucial for proper on-campus waste management. This chapter, therefore, aims at identifying significant variables that affect the excess production of waste at a higher education institute in Kozhikode in the Indian state of Kerala. The study is expected to improve the waste management program therein. A literature review methodology, along with a series of interviews, has been used to frame and execute a questionnaire-based study where waste management staff provides the required responses. The modeling technique used is a Probit regression. The influential variables that affect the excess generation of waste are average education level, the status of employment, the urban background of most residents, consumption of water and electricity, space understudy, and management control. All the results in this research can be utilized as a part of waste management programs and in improving capacities to manage waste. This will also help in understanding the type of areas that are zones of critical concern in terms of waste management. The observations incorporated in the study is in the Indian context and are unique among the existing literature.