Special Issue on “Organizational Sustainability: Theory, Culture, and Practice”

Together with Lianne M. Lefsrud, I have been invited to edit a special issue of Sustainability (ISSN 2071-1050), an international, cross-disciplinary, scholarly and open access journal of environmental, cultural, economic, and social sustainability of human beings. The theme of our special issue is: Organizational Sustainability: Theory, Culture, and Practice. We welcome both theoretical and empirical papers that advance our understanding of organizational sustainability. See the call for papers for further details.

I have previously published two articles in the journal (on social license and risk management) and can attest to the speed of its review and publication process. Manuscripts are peer-reviewed and a first decision provided to authors approximately 22 days after submission; acceptance to publication is undertaken in 6 days (median values for papers published in this journal in 2017). Reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the article processing charges of their next publication in any MDPI journal. Sustainability is indexed by the Social Sciences Citation Index (Web of Science), with an impact factor of 1.789.

Goodbye to Cindy Dong

This morning I said goodbye to Cong (Cindy) Dong, a Ph.D. student from China University of Petroleum School of Business Administration in Beijing, who has been visiting me for the past year through a prestigious grant from the China Scholarship Council. During her time at the University of Alberta, Cindy attended doctoral seminars with our Ph.D. students and participated in my Department’s paper development workshops and visiting speaker series.

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Social License to Operate: Legitimacy by Another Name

My article — Social License to Operate: Legitimacy by Another Name? — was published in Canadian Public Administration today. Co-authored with Lianne M. Lefsrud (University of Alberta) and Stewart Fast (University of Ottawa), the article draws in part on research I originally prepared for a report by the Canadian Network for Energy Policy Research and Analysis entitled: “Energy Projects, Social License, Public Acceptance and Regulatory Systems in Canada: A White Paper.”

Using BP Neural Networks to Prioritize Risk Management

Today, my latest article was published in the open access journal Sustainability. The article — Using BP Neural Networks to Prioritize Risk Management Approaches for China’s Unconventional Shale Gas Industry — was co-authored by Cong (Cindy) Dong (a Ph.D. student at China University of Petroleum School of Business Administration, currently visiting me at the University of Alberta), Xiucheng Dong (China University of Petroleum, School of Business Administration), Joel Gehman (University of Alberta School of Business), and Lianne M. Lefsrud (University of Alberta, Department of Chemical and Materials Engineering).

China has become the top energy consumer in the world. At the same time, China is facing intense international and domestic pressure to reduce the greenhouse gas and other emissions resulting from its primarily coal-based energy system. Given these twin pressures of increasing energy demand while controlling emissions, the development of China’s shale gas industry has emerged as a strategic national priority.The shale gas resource distribution in China is illustrated in Figure 1. Seven provinces—Sichuan, Xinjiang, Chongqing, Guizhou, Hunan, Hubei and Shanxi—account for 68.9% of the nation’s total reserves.

Figure 1. Shale gas resource potential in China’s provinces (trillions of m3).

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