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The recent financial crises and the economic problems caused by the pandemic highlight the importance of financial literacy (FL). Libraries have an essential role in developing informational literacy and promoting access to information. In this study the authors seek to identify, based on the published literature, in which areas and in what roles libraries engage in the development of FL, and what options are available for those who intend to set out in this direction in the near future.

The basis of the research is a review of the literature, as comprehensive as possible, achieved by keyword- and discipline-focused searches run in the Library, Information Science and Technology Abstracts (LISTA), the Web of Science (WoS) and the Scopus database. At the beginning of the study, the initial list of results had 765 publications, but this number decreased significantly after removing duplicates and sorting the results. Finally, 138 publications were included in the analysis.

Libraries engage in the development of FL mostly through their collections, with recommendations, through education, by organizing programs and through information service. Most successful methods do not require any specialized FL knowledge from librarians. Necessary competences are more related to organizational skills, cooperation with partners and creativity.

The study is based on publications which include the term financial culture, any of its synonyms, or broader or more specific terms and which are related to libraries in the manner described in the search strategy. The international literature databases chosen for the searches limited the scope of the articles available for inclusion.

The study summarizes the results in libraries related to FL from the past 10 years. There has been no other similar summary published recently applicable in practice.

Many economists find it necessary to forecast inflation locally or nationally based on the annual Consumer Price Index (CPI) value before the figures are released from the Bureau of Labor Statistics. There is no regular “official release date,” although the BLS usually targets the 20th of each month to publish the CPI for the previous month. The official annual CPI value (the mean of the twelve months) is therefore not available until January 20 of the next year. This initial figure is often revised later as additional information becomes available.

The purpose of this paper is to address an important but seldom explored field of study: the communication of corporate strategies to external and internal stakeholders. The relevance of the topic can be tracked both in communication studies and in management research, but empirical insights are rare. The paper addresses this research gap by asking: How do listed companies in key industrial markets communicate publicly about their corporate strategy?

A comprehensive content analysis of corporate websites was conducted for a sample of the 20 largest listed companies in the UK, the USA and Germany (n=60). The subsequent benchmark analysis has identified best practices and highlighted them in detail.

The study revealed significant differences between companies and countries in the sample for most of the dimensions. Cross-country comparisons confirm these differences statistically: German companies score significantly higher in the benchmark than British or US companies.

This paper outlines quality criteria for professional strategy communication, helping practitioners to improve their activities and contribute to organizational goals.

The study offers a holistic approach to strategy communication by providing an interdisciplinary theoretical foundation as well as insights into corporate practice, with the aim of laying the ground for further research and discussion in both academia and practice.

Over a decade ago, Bretschneider and Gorr proposed two directions for future research in government forecasting: one was to extend the research on developing and evaluating alternative forecasting methods and the other, to look at forecasting as a human activity and examine how organizational factors affect forecasting. What has happened since then? To see partially what has been done and what remains to be done, this paper provides a review of the literature on government revenue forecasting with a primary focus on the state level and identifies areas for future research in government revenue forecasting.

Analysis of designing and controlling the failure of marine structures attached to the bottom of the sea under dynamic load obtained from the sea waves is one of the main engineering challenges in recent years. The circumstances of the onshore marine structures have their own complexity and the difficulty due to the effect of hydrodynamic factors and dynamic responses which are dominant in the marine environment. The paper aims to discuss these issues.

The structure elements are composed of the metal pipe with a length of 5 m, outside diameter of 20 cm and thickness of 1.5 mm. the failure control with a safety factor of 2 indicates the absence of the above marine structure failure. It has been diagnosed to be trustworthy and reliable.

In this study, the control of marine steel structure failure with the height of 60 m under the dynamic load of the sea water waves having sinusoidal shape in the Caspian Sea has been studied and analyzed.

In this paper, the minimum and maximum internal force and movement in six directions of freedom were obtained for each element. To analyze and control the failure, the combination of stresses caused by static and dynamic loads has been used. According to the regulation of 10-360-AISC, the control was conducted.

This paper aims to examine the determinants of socioeconomic factors on housing prices and their differential effects among regions.

This study employs a hierarchical linear model to analyze the housing and socioeconomic data of 363 metropolitan statistical areas (MSAs) in the USA.

This study generates four findings. First, the population, the percentage of the elderly in population, violent crime rates, and foreclosure rates produce greater effects on housing prices in the Northeast than those in the West. Second, the population produces a greater effect on housing prices in the Northeast than those in the Midwest. Third, mortgage rates produce less significant effects on housing prices in the Northeast than those in the Midwest. Fourth, the population, the percentage of the elderly in population, and rent-income ratio produce greater effects on housing prices in the Northeast than those in the South.

Based on data collected for 2010, this study analyzes socioeconomic factors on the demand side under the implicit assumption that supply side remains constant. Future research can lift the restriction on fixed supply assumption.

The results can provide information to buyers and sellers about how socioeconomic factors affect housing prices. Moreover, this study also provides useful information for the government to design and implement relevant housing policies.

This is the pioneering study to examine the differential effect of socioeconomic factors on metropolitan housing prices among regions by employing dummy regional variables to detect changes in slope coefficients. These detailed conclusions would enhance the efficiency of transaction in housing markets.

The purpose of this paper is to critically analyze whether supply networks may be validly treated as complex adaptive systems (CAS). Finding this to be true, the paper turns into the latest concerns of complexity science like Pareto distributions to explain well‐known phenomena of extreme events in logistics, like the bullwhip effect. It aims to introduce a possible solution to handle these effects.

The method is a comparative analysis of current literature in the fields of logistics and complexity science. The discussion of CAS in supply networks is updated to include recent complexity research on power laws, non‐linear dynamics, extreme events, Pareto distribution, and long tails.

Based on recent findings of complexity science, the paper concludes that it is valid to call supply networks CAS. It then finds that supply networks are vulnerable to all the nonlinear and extreme dynamics found in CAS within the business world. These possible outcomes have to be considered in supply network management. It is found that the use of a neural network model could work to manage these new challenges.

Since, smart parts are the future of logistics systems, managers need to worry about the combination of human and smart parts, resulting design challenges, the learning effects of interacting smart parts, and possible exacerbation of the bullwhip effect. In doing so, the paper suggests several options concerning the design and management of supply networks.

The novel contribution of this paper lies in its analysis of supply networks from a new theoretical approach: complexity science, which the paper updates. It enhances and reflects on existing attempts in this field to describe supply networks as CAS through the comprehensive theoretical base of complexity science. More specifically, it suggests the likely vulnerability to extreme outcomes as the “parts” in supply networks become smarter. The paper also suggests different ways of using a neural network approach for their management – depending on how smart the logistics parts actually are.

Some US counties are more likely to generate entrepreneurial opportunities than others. This paper aims to determine the linkages between US counties with disproportionately high shares of entrepreneurs and specific attributes of the entrepreneurial support system.

Non-farm proprietorship (NFP) has been used as a proxy for entrepreneurship and self-employment. NFP employment data were collected from the US Bureau of Economic Analysis by county. Data on all independent variables were obtained from the US Census and Bureau of Economic Analysis by county and subject to stepwise linear regression analysis.

Results revealed a strong positive relationship between the percent of NFP employment by county and the percent real estate, rental and leasing employment and construction employment as well as percent Hispanic and median age.

In attempting to encourage NFP employment, policymakers should be more aware of the key predictors that shape county-wide entrepreneurial ecosystems to enhance competitive advantage. Better understanding of the needs and experiences of different types of entrepreneurs and ecosystems can enhance overall quality of life and economic opportunity levels in a community.

The explicit spatial context of this paper has sometimes been overlooked in the traditional entrepreneurship literature, as such, this paper helps fill that gap. The findings provide a disaggregated analysis that can help better understand the key predictors that can drive the local choices of entrepreneurs and help local policymakers to build more competitive communities.

In the USA, 22–40% of youth who have been accepted to college do not enroll. Researchers call this phenomenon summer melt, which disproportionately affects students from disadvantaged backgrounds. A major challenge is providing enough mentorship with the limited number of available college counselors. The purpose of this study is to present a case study of a design and user study of a chatbot (Lilo), designed to provide college advising interactions.

This study adopted four primary data sources to capture aspects of user experience: daily diary entries; in-depth, semi-structured interviews; user logs of interactions with the chatbot; and daily user surveys. User study was conducted with nine participants who represent a range of college experiences.

Participants illuminated the types of interactions designs that would be particularly impactful for chatbots for college advising including setting reminders, brokering social connections and prompting deeper introspection that build efficacy and identity toward college-going.

As a growing body of human-computer interaction research delves into the design of chatbots for different social interactions, this study illuminates key design needs for continued work in this domain. The study explores the implications for a specific domain to improve college enrollment: providing college advising to youth.