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The field crop industry in Canada is a source of both significant economic benefits and environmental impacts. Environmental impacts include land and energy use, as well as greenhouse gas (GHG) and other emissions. Impacts also accrue upstream of the field in the product supply chain, from the production of such inputs as fertilizers and pesticides. There are currently two types of environmental life cycle assessment (LCA)—attributional LCA (ALCA) and consequential LCA (CLCA)—that may be used to study the life cycle impacts of products such as field crops. ALCA is a retrospective methodology that presents a snapshot of average, “status quo” conditions. CLCA is a prospective methodology that presents the potential implications of changes in a product system, including any associated market-mediated changes in supply or demand in other product systems. Thus, CLCAs can be used to assess large-scale changes in the field crop industry, including its relationship to other sectors and processes, such as the production of biofuel or of food for both human and animal consumption. The aim of this paper is to review and curate the knowledge derived through published CLCA studies that assessed the impacts of changes to field crop production systems on the life cycle resource use and emissions associated with the agricultural products, with a focus on their relevance to temperate climate conditions. The current study also highlights how previous studies, including ALCAs and farm management recommendations, can be used to inform the changes that should be studied using CLCA. The main challenges to conducting CLCAs include identifying the system boundaries, marginal products and processes that would be impacted by changes to field crop production. Marginal markets and product systems to include can be determined using economic equilibrium models, or information from local experts and industry reports. In order to conduct ISO-compliant CLCAs, it is necessary to include multiple relevant environmental impact categories, and to perform robust data quality and uncertainty analyses.

Sustaining crop production and productivity in sub-Saharan Africa requires the availability and use of quality seed of improved varieties by smallholder farmers. The private sector has been considered as the best way to sustain seed supply and crop productivity. Unfortunately, the private sector’s share in the seed production and delivery in sub-Saharan Africa countries has not been very substantial for decades. As a consequence, farmer access to quality seed of recently released varieties remains very low. This manuscript analyzes the experiences of informal seed producers who graduated to formal private seed enterprises to understand the effectiveness of the support they receive to become viable seed ventures. We used comparative research methods to analyze the qualitative and quantitative data collected to understand the underlying mechanisms. The findings showed that the analyzed seed enterprises started with as little as about USD 300 and have already multiplied over tenfold their initial capital. They benefited from a wide variety of supports, e.g., quality seed production, marketing, partnerships, and value chain development trainings and infrastructures, from extension workers, research centers, national and international NGOs, and the other private seed enterprise operators like large public seed enterprises and agro-dealers. The seed enterprises are producing pre-basic, basic, and certified seed of cereals and self-pollinated legume crops delivered directly to farmers, institutional markets, and agro-dealers. The seed production data have been increasing for the past three years with an area expanding from about 30 ha to over 150 ha per year for chickpea. The seed production and delivery practices being employed are smallholder farmer-based practices that are environmentally friendly. For sustainable and reliable seed production and delivery systems in sub-Saharan Africa, a bold step is needed whereby the informal seed production entities are nurtured and upgraded into formal certified seed production ventures that deliver social and economic benefits to the promotors and the communities.

Numerous studies have found that travel mode choice is related to mode-specific attitudes as well as travel-related satisfaction. While choosing a travel mode that is congruent with attitudes towards that mode (i.e., consonance) brings about travel satisfaction, travel-related satisfaction can result in the choice of a travel mode which is not necessarily consistent with (all) attitudes (i.e., dissonance). However, few studies have analyzed the extent to which consonance and dissonance affect or are affected by the overall travel-related satisfaction. This paper aims at understanding whether respondents with a positive attitude towards a certain mode will actually use the mode, and whether consonant travelers are more satisfied with their trips and travel-related situations compared to their dissonant counterparts. Additionally, research in this area is dominated by the use of quantitative methods, leading to a lack of understanding of the complexity of subjective factors such as attitudes and values. In this study, with a retrospective mixed method approach, 1977 (in the quantitative section) and 19 (in the qualitative section) employees who have experienced an involuntary relocation of their workplace have been examined vis-à-vis their travel-related values and attitudes, corresponding choices, and satisfaction. Results from our quantitative analyses indicate that first, the relocation of the workplace was associated with increased public transit use and travel satisfaction; and second, surprisingly, the share of dissonant active mode users was relatively high compared to other modes (except bus). Our qualitative analyses revealed that individuals do not necessarily use the most positively valued travel mode due to lack of accessibility and competences, but also due to having preferences for other travel-related elements such as travel route. Furthermore, travel mode consonance (or dissonance) and travel satisfaction (or dissatisfaction) are not necessarily positively related because (i) individuals attribute different weights to their travel-related attitudes and values, and (ii) satisfaction in other life domains can make a travel dissatisfaction bearable or even favorable.

Travel well-being is the subjective feeling of satisfaction that people have while traveling. Previous research focused on its determinants and relationships with subjective well-being ignored. But no quantitative study discusses the effect of characteristics like weekly income and travel time on travel well-being. To demonstrate the quantitative inflection of travel well-being from characteristics, the relevant factors influencing travel well-being as the dependent variable are identified using Pearson correlation analysis and linear regression in this paper. To overcome the limitations of linear regression techniques, ordered logistic regression is applied to establish an analytical model of travel well-being for predicting the response probabilities for different degrees based on combinations of explanatory variables. Both the linear regression and ordered logistic regression models are calibrated by American residents’ travel datasets. The results illustrate that the ordered logistic model fits sample data better than linear regression models. Age, travel time, health status, and resting degree are significantly related to travel well-being. Older people and those who are healthier and better rested are more likely to experience higher levels of travel well-being. Additionally, increased travel time is associated with a significant decrease in travel well-being. Therefore, to enhance people’s travel feelings, policymakers and urban planners can enhance the quality of public transportation services and provide diverse transportation options, while also logically constructing transportation hubs to provide more convenient travel plans.

This conceptual, interdisciplinary paper will start by introducing the commencement of a new era in which human society faces continuously accelerating technological revolutions, named the Post Accelerating Data and Knowledge Online Society, or ‘Padkos’ (“food for the journey; prog; provisions for journey”—in Afrikaans) for short. In this context, a conceptual model of sustainable development with a focus on knowledge management and sharing will be proposed. The construct of knowledge management will be unpacked into a new three-layer model with a focus on the knowledge-human and data-machine spheres. Then, each sphere will be discussed with concentration on the learning and decision- making processes, the digital supporting systems and the human actors’ aspects. Moreover, the recombination of new knowledge development and contemporary knowledge management into one amalgamated construct will be proposed. The holistic conceptual model of knowledge management for sustainable development is comprised by time, cybersecurity and two alternative humanistic paradigms (Homo Technologicus and Homo Sustainabiliticus). Two additional particular models are discussed in depth. First, a recently proposed model of quantum organizational decision-making is elaborated. Next, a boundary management and learning process is deliberated. The paper ends with a number of propositions and several implications for the future based on the deliberations in the paper and the models discussed and with conclusions.

The objective of this study is to explore the role of artificial intelligence applications (AIA) in education. AI applications provide the solution in many ways to the exponential rise of modern-day challenges, which create difficulties in access to education and learning. They play a significant role in forming social robots (SR), smart learning (SL), and intelligent tutoring systems (ITS) to name a few. The review indicates that the education sector should also embrace the modern methods of teaching and the necessary technology. Looking into the flow, the education sector organizations need to adopt AI technologies as a necessity of the day and education. The study needs to be tested statistically for better understanding and to make the findings more generalized in the future.

In our built environment, societal production of energy and clean water is inextricably linked to the natural resources from which they are derived. Acknowledgement and consideration of the coupling of energy, water, and the environment (the energy–water–environment nexus) will be critical to a sustainable future. This is particularly true as we transition away from historical energy sources (e.g., coal, petroleum, natural gas) and into the widespread adaptation of renewable energy (RE) sources (e.g., solar, wind, geothermal, hydro, bioenergy) as a strategy to decrease greenhouse gas emissions and consequently slow global climate change. This transition is fraught with both challenges and opportunities at the county, state, national, and international levels, as addressing future societal needs with respect to energy and water, and the environment requires recognition of their interdependence and development of new technologies and societal practices. In this study, the focus is on the RE–water–environment (REWE) nexus. In California, the REWE nexus is becoming increasingly important in achieving 100% clean electricity from eligible RE and zero-carbon resources by 2045 and in the face of climate change and population and economic growth. In this context, California’s RE deployment and renewable electrical generation, its RE legislative information, REWE nexus, and intertwined REWE nexus challenges and opportunities in California (e.g., administrative–legal, technology development, digitalization, and end-of-life RE waste) are comprehensively discussed to identify the knowledge gaps in this nexus and solutions.

Three typical waste furniture boards (fiberboard, chipboard, and blockboard) were pretreated with phosphoric acid and hydrogen peroxide (PHP). The fractionation process of these feedstocks was attempted in order to harvest the cellulose-rich fraction for enzymatic hydrolysis and bioethanol conversion; further, lignin recovery was also considered in this process. The results indicated that 78.9–91.2% of the cellulose was recovered in the cellulose-rich fraction. The decreased crystallinity, which promoted the water retention capacity and enzyme accessibility, contributed greatly to the excellent hydrolysis performance of the cellulose-rich fraction. Therefore, rather high cellulose–glucose conversions of 83.3–98.0% were achieved by hydrolyzing the pretreated furniture boards, which allowed for harvesting 208–241 g of glucose from 1.0 kg of feedstocks. Correspondingly, 8.1–10.4 g/L of ethanol were obtained after 120 h of simultaneous saccharification and fermentation. The harvested lignin exhibited abundant carboxyl –OH groups (0.61–0.67 mmol g−1). In addition, approximately 15–26 g of harvested oligosaccharides were integrated during PHP pretreatment. It was shown that PHP pretreatment is feasible for these highly recalcitrant biomass board materials, which can diversify the bioproducts used in the integrated biorefinery concept.