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Describes the origin, development and evolution of Nebrask@ Online, a computer‐based electronic information and communication service, created by the Nebraska Library Commission. The 1991 Nebraska Information Partnerships Conference led to new alliances involving the Library Commission and the creation of this online service. Describes experiences in operating an online service and options considered for network development. A public/private partnership emerged as the model for network management services for access to Nebraska state government information.

The purpose of this paper is to examine the attitudes towards and knowledge about entrepreneurship and small business among the people of Nebraska, a mid‐western state in the USA.

The paper discusses the importance of understanding attitudes and knowledge about entrepreneurship at the state‐level. It uses a parsimonious framework to present the findings based on data collected by a Gallup Organization survey of Nebraska residents and small business owners.

Data reveals low interest in becoming entrepreneurs among Nebraskans. Interestingly, however, Nebraskans believe their educational experience is significantly more valuable and applicable to business start‐up than does the US general population. They are also less likely than the US population to believe that successful entrepreneurs and small businesses should give back to their communities.

The paper highlights the need to examine attitudes and beliefs about entrepreneurship in individual states and comparing the findings from the state level data to those from the national data. The results have important implications for teachers interested in providing training to potential entrepreneurs, as well as policy‐makers in states such as Nebraska interested in encouraging entrepreneurial activity in their state.

This paper is the first study to focus on attitudes and beliefs about entrepreneurship among the people of Nebraska, a rural state in USA, an otherwise highly industrialized country. It is also the first study to use the data collected at the state‐level to compare it to findings from a national sample.

The purpose of this paper is to investigate the gap between the resources required to build a strong biotechnology ecosystem in Nebraska and the perception of resources currently available within the state for doing so.

Using resource‐based theory along with data from a Battelle survey commissioned by BioNebraska, the authors first identify the human and financial capital needed to support a viable biotechnology industry sector, benchmarking with other regions currently undertaking such development. The authors then compare identified resource requirements with data from a survey of BioNebraska members regarding their perceptions of the importance of these resources to, and their availability within, Nebraska.

This process revealed gaps in several key resource areas that could impede the state's ability to achieve its sector development goals.

In the authors' view, understanding the gap between resources required and resources available for building a high technology industry sector, as well as benchmarking against the competition, are key first steps in developing successful economic policy.

The paper discusses the implications of gaps in several key resource areas for future success and makes recommendations for possible ways in which Nebraska decision makers might develop necessary resources. Also addressed is the importance of considering the perceptions of key stakeholders and decision makers regarding the resources required for developing knowledge industries such as biotechnology.

Nebraska libraries are involved in a variety of automation and connectivity initiatives. Libraries of all sizes and types are using information technology for internal operations as well as for connectivity with other libraries and external sources. Individual libraries and groups of libraries have had success in obtaining both public and private funding to support their technology projects. Despite these successes, ongoing support is lacking to sustain and enhance library technology. The following examples highlight several projects, but do not pretend to cover all of the many individual and cooperative initiatives underway or planned.

Identifying tools for predicting fiscally distressed local governments has received heightened attention following the Great Recession of 2007–2009. Despite the recent expansion of research, measuring fiscal distress is challenging because of the operational complexity associated with the term. Furthermore, many local governments are too small to produce a Comprehensive Annual Financial Report (CAFR), upon which many empirical studies of fiscal condition or fiscal distress are based. This study designs a parsimonious tool for identifying fiscally distressed entities based on existing literature. The authors examine Nebraska's 93 counties over a nine-year period (from 2010 to 2018). In order to ensure the validity of our tool, we replicate two well-known empirical approaches of assessing local fiscal condition and compare the results with ours. The authors find nearly all counties in Nebraska to be free from fiscal distress in the past decade. However, since most counties in Nebraska have small populations and are far from urban centers, they may still be vulnerable to future fiscal shocks and may need to closely monitor their fiscal condition.

The authors offer a parsimonious method for assessing the existence of fiscally distressed counties. They select predictors of fiscal distress based on two criteria. First, for the purpose of this study, the authors use financial information that is uniform, easily accessible and does not rely on CAFRs. In order to make their model parsimonious and replicable, the authors only consider factors that have the most decisive effects on local fiscal conditions. Second, the authors draw on indicators that have been consistently supported by previous studies (e.g., Kloha et al., 2005; Gorina et al., 2018). The authors test the validity of this approach using correlation analysis and regression modeling, similar to Wang et al. (2007).

The authors’ fiscal distress measure shows encouraging signs. Results show that all but Brown's model are highly correlated. The decile and standard deviation models have the strongest correlation (r = 0.955, p < 0.01). These two models are also significantly associated with Kloha et al.'s model. Their correlation coefficients are 0.812 and 0.830, respectively. Consistent with Wang et al. (2007), the authors find modest associations between our fiscal measures and socioeconomic measures.

Limitations include questions of generalizability – we are only studying Nebraska counties. The extent to which the findings are generalizable to counties in other states remains to be seen. We advise readers and policymakers to bear in mind that at this point, there is no perfect way to measure local fiscal condition or fiscal distress. Specifically, with our model, the foremost advantages of parsimony are data accessibility and replicability. However, unlike other existing tools that consider dozens of indicators, our tool bears the cost of not employing a more comprehensive perspective that may be required to capture a full picture of local fiscal condition.

The purpose of this research was to construct and present a parsimonious way of identifying local fiscal distress that is easily replicated and applied in practice. The challenges were operational – both in terms of definition and measurement. Fiscal distress is a nebulous concept that can vary based on the researcher's intent. Our chosen set of indicators have two characteristics: accessibility of financial information and consistency with past studies. Thus, we assess two of the four dimensions of solvency: budgetary solvency and long-run solvency. The authors suggest that this effort should not be used as a tool by state lawmakers to accuse and judge local governments. Instead, it should be used to assist local governments as Iowa and Colorado do. The findings could be the beginning of a conversation between the state and local governments to determine the best course(s) of action. As previously mentioned, there are many causes of fiscal distress and poor decision-making is not very common. Looking into the future, the authors expect more local governments to become fiscally distressed and the primary cause would be economic/demographic change. Since many local governments in Nebraska have very small populations and are far from the urban centers of Omaha and Lincoln, they might be vulnerable to future fiscal shocks. Thus, state lawmakers need to begin considering strategies to deal with local fiscal distress. The authors do have limitations in measurement. However, if used appropriately, this research can add value to the discussion of managing local government fiscal distress in Nebraska and other similar states.

While the analysis finds little fiscal distress currently in Nebraska, there is concern that with population migration to the urban areas and the “graying” of the state, local governments in rural areas (the vast majority in Nebraska) could face more serious issues in future years. A recent study showed that local fiscal condition is negatively associated with the distance from the municipality to the urban centers of Omaha and Lincoln (Maher et al., 2019). These spatial effects could be further exacerbated in a state that ranks near the bottom in financial support of local governments and policy makers are committed to “controlling” property taxes.

This study, while building on prior work, is unique in that it focuses on counties as opposed to municipalities, which are the most common units of analysis. The authors also offer a model for assessing fiscal distress in a state that currently does not have state-level systems to monitor local finances. Finally, rather than relying on audited annual financial reports which would disqualify many smaller local governments, the authors offer a parsimonious tool that is easily replicated and can be used by all local governments that submit uniform financial reports to their states.

A partnership of the federal government and the states implement rural community development policy today, yet researchers rarely examine the nature and efficacy of this extensive intergovernmental collaboration. The authors collected data on Community Development Block Grant awards made by one state to small and rural communities for a variety of development projects over a period of more than ten years, and using a modified rural classification system detected patterns and trends in allocation. This study seeks to determine if a federally funded program assists states address the development needs of a diverse mix of rural communities. Do federal block grant programs help states meet rural community development policy objectives? This information should be helpful to local, state, and national government policy makers as they ponder proposals to reorganize dramatically the funding and implementation of community and economic development resources. Perhaps most importantly, this study will also help policy makers understand the complexity of the federal-state-local partnership for rural community development.

A partnership of the federal government and the states implement rural community development policy today, yet researchers rarely examine the nature and efficacy of this extensive intergovernmental collaboration. The authors collected data on Community Development Block Grant awards made by one state to small and rural communities for a variety of development projects over a period of more than ten years, and using a modified rural classification system detected patterns and trends in allocation. This study seeks to determine if a federally funded program assists states address the development needs of a diverse mix of rural communities. Do federal block grant programs help states meet rural community development policy objectives? This information should be helpful to local, state, and national government policy makers as they ponder proposals to reorganize dramatically the funding and implementation of community and economic development resources. But maybe most importantly, this study will also help policy makers understand the complexity of the federal-state-local partnership for rural community development.

The purpose of this study was to determine degrees of internalization of character traits across two groups (K-12 teachers and Extension staff) with varying years of participation in character education professional and program development activities. An online survey was developed to collect data describing the 109 respondents, the extent of their character education professional and program development activities, and their degrees of internalization and behavioral change. Post-then-pre data comparisons revealed significant levels of change in behaviors, including considering other peoples’ feelings and resolving conflict in a peaceful manner. All post-then-pre data demonstrated that respondents at least frequently lived their lives in accordance with the post-then-pre statements. Recommendations for future research included: marketing character education professional development opportunities to a broader audience; and increasing ongoing and intensive multicultural training of Cooperative Extension staff.

This study comparatively examines the collaborative policy mechanisms for interlocal cooperation (ILC) utilized by municipal managers in Nebraska, USA, and Norway. The research addresses differences in ILC, factors of national setting and implications for ILC management in public service delivery.

Over a seven-year period, the researchers collected data from 16 communities in the two countries to observe perceptions and usages of ILC. Using a policy tools theoretical framework, the authors apply a typology of collaborative mechanisms for comparative analysis.

The findings suggest that institutional orientations in the USA and Norwegian systems of government affect managerial approaches to collaborative service delivery, namely the operationalization of local governments within federal and unitary structures may influence perceptions toward the formality and specificity of ILC policy mechanisms.

This study offers further understanding of ILC mechanisms for public sector management. Theoretical and practical implications of ILC in a comparative international context of governmental systems for collaboration are explored.

Refugee mothers are at a significantly increased risk of suffering from postpartum depression. However, available tools to screen for it often use a Western paradigm of mental health, which may not be culturally appropriate, and may not account for the background stress experienced by refugees. The purpose of this study is to test and validate refugee health screener-13 (RHS-13), which was developed by consultation with refugees from different backgrounds among a group of Syrian refugee mothers living in Beqaa’s valley in Lebanon.

The tool was tested on a sample of 103 women. Internal consistency of the items for each subscale was assessed using Cronbach’s alpha. An interitem correlation was performed to examine the most correlated items on the scale. Pearson correlation coefficient was calculated between each subscale and its diagnostic proxy. To find the best fit cutoff point between sensitivity and 1-specificity, ROC curves were used.

RHS-13 is a reliable and valid tool to detect depression and anxiety among postpartum Syrian mothers (internal consistency 0.803, correlation with patient health questionnaire: 0.63 and correlation with generalized anxiety disorder-7: 0.73). The best fit cutoff points were 12, 15 and 25, indicating the severity of symptoms from mild to severe, respectively.

RHS-13 is a valid tool among postpartum refugees in Lebanon and can be used by primary care physicians, mental health providers and social workers working with refugees from the Middle East to screen mothers for depression and anxiety.