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Moringa (Moringa oleifera) is a highly nutritious, fast-growing crop that has emerged in Western markets as a “superfood” and as a “smart crop” for income generation potential among small-scale farmers. As such, moringa has been widely promoted by agricultural development practitioners in low-income countries and by emerging businesses aimed at achieving nutritional and social impact. However, the intrinsic nutritional and agronomic strengths of moringa are not enough to warrant its widespread promotion without first evaluating its economic potential to farmers.

A Land Use System (LUS) analysis modeling tool was employed to test the economic performance of two sets of moringa production practices in Kenya. Data were collected during in-depth interviews and field visits with farmers in Meru that supply a local market, and in Shimba Hills that supply an organic export market.

Results suggest that current production practices over an 12-years assessment period generate a Net Present Value (NPV) of US$8,049 [ha-1] in Meru and a negative NPV of US$697 [ha-1] in Shimba Hills; with average daily returns to family labor of these two production systems of roughly 1.6 times and 0.13 times the prevailing local wage rate, respectively. These differences were attributed to a higher farmgate prices and greater yields in Meru. The analysis tool was then used to predict the effects of changes in farming practices, e.g. if farmers in Meru switched to intensive bed cultivation NPV is estimated to increase by ∼650%.

This study demonstrates the importance of examining the economic performance of agricultural production systems intended to increase the benefits to small-scale farmers.

Our study is the first to assess moringa's economic performance within two production systems in Kenya – a local farmers' cooperative in Meru, and a group of farmers contracted by an export company.

The purpose of this paper is to offer six principles that health system leaders can apply to establish a governance and management system for the quality of care and patient safety.

Leaders of a large academic health system set a goal of high reliability and formed a quality board committee in 2011 to oversee quality and patient safety everywhere care was delivered. Leaders of the health system and every entity, including inpatient hospitals, home care companies, and ambulatory services staff the committee. The committee works with the management for each entity to set and achieve quality goals. Through this work, the six principles emerged to address management structures and processes.

The principles are: ensure there is oversight for quality everywhere care is delivered under the health system; create a framework to organize and report the work; identify care areas where quality is ambiguous or underdeveloped (i.e. islands of quality) and work to ensure there is reporting and accountability for quality measures; create a consolidated quality statement similar to a financial statement; ensure the integrity of the data used to measure and report quality and safety performance; and transparently report performance and create an explicit accountability model.

This governance and management system for quality and safety functions similar to a finance system, with quality performance documented and reported, data integrity monitored, and accountability for performance from board to bedside. To the authors’ knowledge, this is the first description of how a board has taken this type of systematic approach to oversee the quality of care.

The concept of the music scene has served sociologists well in providing a template for studying the organization of various musical styles and the people who work together to create the musical experiences. Writers including Howard Becker, Richard Peterson, Andy Bennett, David Grazian, and Joseph Kotarba have explored music scenes ranging from jazz, blues and rock to country and Latino styles. Although there is no one consensual definition of music scene, the notion of place, in a physical, empirical, and geo-local sense, seems to be a universal concern in the literature. In this chapter, we will outline a more inclusive, interactionist-oriented, and updated concept of the music scene that is at once interactionist in tone and perspective, while sensitive to dramatic changes occurring both in the world of politics and in the world of digital media. Perhaps most importantly, the concept of music scene can provide insight into the historical fact that, in spite of technological advancements, the live music experience is still at the heart of musical experiences across communities and cultures.

Gig microentrepreneurs are individuals who have embraced short-term gigs as an entrepreneurial agency for both financial and social livelihood. Based on surveys in 2020 and 2023, the research reported here presents a comprehensive, empirical portrait of two cohorts of gig microentrepreneurs. This portrait captures the similarities and differences of gig microentrepreneurs in terms of offline and online business models and the nature of gig work. Recognizing that there is not a “typical” gig microentrepreneur will help ensure that this gig business model continues to evolve without boundaries in terms of demographics, motivations and behavior and will enable marketing and entrepreneurship scholars to better assist in entrepreneurial growth and development. The purpose of this paper is to gain a better understanding of the gig microentrepreneur regardless of the nature of the gig work.

The research involved two separate surveys in the USA. The first survey took place in July 2020, and the second survey took place in April 2023 after major changes had taken place in the economy and in society (e.g. the COVID pandemic). Both surveys used samples generated by Dynata, an online consumer panel company with access to more than 70 million consumers worldwide who have agreed to participate as panel members.

The surveys provided answers to questions about the demographic and behavioral aspects of gig microentrepreneurs, including who they are, the number and type of gig activities in which they participate, the financial livelihood generated from gig income, the social livelihood inherent in gig work and dissatisfaction with being a microentrepreneur in the gig economy. These findings produced insights into why individuals engage in gig activities and the positive and negative impacts of that engagement. Based on the findings, nuances and trends within the gig economy and among gig microentrepreneurs are identified and discussed.

The research limitations include lack of generalizability outside of the USA, use of panel data and survivor bias.

Consumers, gig microentrepreneurs, companies and government agencies can benefit from the growth in the gig economy. The vast array of gig activities in which gig microentrepreneurs engage clearly shows the need for an on-demand workforce. There are both economic and societal benefits to having a labor-force that can meet a breadth of demands with varying timeframes.

Whether gig microentrepreneurs are engaging in gig work to augment their income because of economic insecurity or for intrinsic reasons, the motivations and behaviors of the gig microentrepreneurs are indicative of the talent and resources needed to keep the US economy moving forward positively.

As noted by several scholars conducting research on the gig economy, little is known about gig microentrepreneurs – who they are, what they do and why they do it. Current research on the gig economy tends to focus on online platform companies. This research offers an exploratory look at microentrepreneurs who engage in gig activities both online and offline without geographic or technological boundaries.

Justice rules are standards that serve as criteria for formulating fairness judgments. Though justice rules play a role in the organizational justice literature, they have seldom been the subject of analysis in their own right. To address this limitation, we first consider three meta-theoretical dualities that are highlighted by justice rules – the distinction between justice versus fairness, indirect versus direct measurement, and normative versus descriptive paradigms. Second, we review existing justice rules and organize them into four types of justice: distributive (e.g., equity, equality), procedural (e.g., voice, consistent treatment), interpersonal (e.g., politeness, respectfulness), and informational (e.g., candor, timeliness). We also emphasize emergent rules that have not received sufficient research attention. Third, we consider various computation models purporting to explain how justice rules are assessed and aggregated to form fairness judgments. Fourth and last, we conclude by reviewing research that enriches our understanding of justice rules by showing how they are cognitively processed. We observe that there are a number of influences on fairness judgments, and situations exist in which individuals do not systematically consider justice rules.

This chapter reviews the study of individual differences in information behaviour; those differences which are not due to demographic factors such as age, gender, education or occupation, but rather to personality factors and to learning and thinking styles. It examines studies of patterns in information behaviour and of personality and similar factors in groups of information-focused occupations, as well as studies which have explicitly sought to relate information behaviour to such factors. The aim of the chapter is to assess how far we have come in being able to identify and measure ‘information style’, a quality different from any other categorisation of personality or of intellectual styles. If this goal were achieved, it would be a valuable concept for the academic study of information-related behaviours, as well as being of practical usefulness for the design of information systems and services, the evaluation of the effectiveness of such systems and the training of users. It could also allow a tailored provision of information, particularly for creative or innovative purposes.

Using a national sample of 7,733 young working adults, the relationship between supervisor gender and perceived job design was explored. Results indicated that a supervisor’s gender did indeed influence subordinates’ perceptions of their job, and the differences were attributed to the different leadership styles men and women frequently use in the workplace. Overall, subordinates who had female supervisors perceived greater interpersonal aspects in their jobs, while subordinates who had male supervisors perceived greater structure in their jobs.

Using a case study for electrical power equipment, the purpose of this paper is to investigate the importance of dependence between series-connected system components in maintenance decisions.

A continuous-time Markov decision model is formulated to find a minimum cost maintenance policy for a circuit breaker as an independent component while considering a downstream transformer as a dependent component. Maintenance of the dependent component is included implicitly in terms of the costs associated with certain state-action pairs. For policy and cost comparisons, a separate model is also formulated that considers only the circuit breaker as the independent component. After uniformizing the continuous-time models to discrete time, standard methods are used to solve for the average-cost-optimal policies of each model.

The optimal maintenance policy and its cost differ significantly depending on whether or not the dependent component is considered.

Data used are from manufacturer databases; additional model validation could be conducted if applied to an electric utility asset fleet within their generation, transmission, and/or distribution system. This model and methodology are already being applied in other contexts such as industrial machinery and equipment, jet engines, amusement park rides, etc.

The outcome of this model can be utilized by asset and operations managers to make maintenance decisions based on prediction rather than more traditional time- or condition-based maintenance methodologies. This model is being developed for use as a module in a larger maintenance information system, specifically linking condition monitor data from the field to a predictive maintenance model. Similar methods are being applied to other applications outside the electrical equipment case detailed herein.

This model provides a structured approach for managers to decide how to best allocate their resources across a network of inter-connected equipment. Work in this area has not fully considered the importance of dependency on systems maintenance, particularly in applications with highly variable repair and replacement costs.

The purpose of this paper is to explore the impact of a number of human individual differences on the web searching of a sample of the general public.

In total, 91 members of the general public performed 195 controlled searches. Search activity and ratings of search difficulty and success were recorded and statistically analysed. The study was exploratory, and sought to establish whether there is a prima facie case for further systematic investigation of the selection and combination of variables studied here.

Results revealed a number of interactions between individual differences, the use of different search strategies, and levels of perceived search difficulty and success. The findings also suggest that the open and closed nature of searches may affect these interactions. A conceptual model of these relationships is presented.

Better understanding of factors affecting searching may help one to develop more effective search support, whether in the form of personalised search interfaces and mechanisms, adaptive systems, training or help systems. However, the findings reveal a complexity and variability suggesting that there is little immediate prospect of developing any simple model capable of driving such systems.

There are several areas of this research that make it unique: the study's focus on a sample of the general public; its use of search logs linked to personal data; its development of a novel search strategy classifier; its temporal modelling of how searches are transformed over time; and its illumination of four different types of experienced searcher, linked to different search behaviours and outcomes.

In March of 2020, Minnesota schools were mandated to transition to distance learning to slow the spread of COVID-19. The charge of providing equitable and appropriate remote learning to all students gave administrators, educators and non-academic staff a few weeks to completely redesign education. This paper aims to describe one district’s experience in planning and offering distance education and build precedent other educational leaders may use in future designs.

This case study documents how one rural K12 district leveraged their strong foundation of technology integration and created crisis remote learning solutions for its most marginalized student populations including special education students, English learners and financially disadvantaged students.

This study shares examples of how this district prioritized relationships and the well-being of students and staff and outlines practical strategies for equitable distance learning that should be considered during and beyond emergency remote teaching.

This paper provides just-in-time practical advice for K12 administrators and educators on navigating crisis distance learning.