Ontario's forest sector has been undergoing a significant structural shift resulting from a more than decade-long trend of declining markets for traditional products. Though there have been signs of industry recovery, the forestry industry is still far smaller than it once was. In order to sustain and improve Ontario's economic position, we must develop policies and supporting programs that transition our forest economy to a more robust and diverse set of markets, including capitalizing on opportunities that come from a thriving and sustainable forest bioeconomy. The current suite of programs is fragmented and does not provide support for all types of bioproducts and policy initiatives, nor across all sections of the value chain. These factors, coupled with the lack of a clear strategic direction for the bioeconomy, have contributed to Ontario's slow emergence into the bioeconomy when compared to other jurisdictions. It is proposed that a key way to improve the effectiveness and efficiency of policy support for the emerging bioeconomy is to integrate and coordinate the actions of the government with industry and academia players involved in the bioproducts sector. Forest policy needs to take a balanced, integrated approach to promote all aspects of the bioeconomy to help ensure the eventual success of Ontario's forest bioeconomy.

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Internet is becoming a part of our lifestyle; however, the usage rate and application of the Internet are disparate in different parts of the world. In many emerging countries, the Internet is yet to penetrate ordinary households. The present study focuses on how IoT adoption impacts the banks’ customer relationship management (CRM) in an emerging market context. Furthermore, the moderating roles of gender, age, and bank ownership type on the relationship between the adoption of IoT and CRM have also been tested. Cost, convenience, social context, and privacy were studied as the predicting variables of IoT adoption, while IoT adoption was investigated as the antecedent of CRM. The CRM variable has been operationalized as a second-order latent construct consisting of three first-order latent variables: responsiveness, satisfaction, and assurance. A cross-sectional, non-probability-based survey was conducted from 467 bank customers of three public and three private sector banks in Aligarh city of India. Two CFA models were run to ensure reliability, validity, and model fit. Hypotheses were tested using structural equation modeling (SEM) on AMOS software, while PROCESS Macro v4.0 by Hayes (2009) was used to test the moderating effect of gender on the relationship between IoT adoption and CRM. The results indicate that cost, convenience, social context, and privacy are positively influencing IoT adoption, which in turn positively affects CRM. Gender and age were found to have a negative moderation effect on the path between IoT adoption and CRM, while bank ownership type positively moderated this link.

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