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Small business capabilities and customer interactions are particularly susceptible to market disruptions. Small businesses must pivot quickly to build or grow their capabilities and manage diverse strategies to deal with crises. This ability to quickly adapt and formulate strategies is necessary to help small businesses maintain sales and continue to engage with their clients, especially in light of disruption and crises. This work uses design thinking strategies to provide insight into how businesses can navigate such disruptions.

This research investigates how design thinking can help small businesses address crises. The focus is on leveraging design thinking strategies such as empathizing, defining, ideating, prototyping and testing (EDIPT), divergence/convergence and customer journey mapping design thinking tools.

The authors provide propositions and strategies to help firms adapt their strategies to the demands of clients during crises.

This piece provides an accessible introduction to three design thinking strategies (general EDIPT model, convergence/divergence and consumer journey mapping). The authors present this in the context of disruption, especially the recent pandemic, specifically focusing on small businesses.

The authors test the weak-form efficiency in cryptocurrency markets using the most recent and comprehensive data as of 2021. The authors apply various technical indicators to take a long or short position on 99 cryptocurrencies and compare the 10-day returns based on the technical trading strategies to the simple buy-and-hold returns. The authors find that the trading strategies based on single indicators or the combination of two indicators do not generate higher returns than buy-and-hold returns among cryptos. These findings suggest that cryptocurrency markets are weak-form efficient in general.

The purpose of this study is to construct and test a new measure of auditor orientation using two audit quality-related tasks.

The sample consists of 66 Dutch and US graduate auditing students. Participants complete two tasks: one involving a lease classification and another, supplemental experiment involving a contingent liability judgment. The purpose is to construct a new measure for rules-based/ principles-based orientation. Rigorous, psychometric testing confirms that parts of tolerance for ambiguity (TOA) and need for cognition (NFC), together, form a new construct the authors identify as auditor orientation. The authors next conduct a main and supplemental experiment with novice auditor participants from both the USA and the Netherlands.

The authors begin with rigorous, psychometric testing using participants from the USA and the Netherlands. The resulting 10-item scale combines parts of TOA and NFC to reflect auditor orientation. The common themes across scale items are high (low) adaptability to complexity and a substance-over-form (form-over-substance) preference for principles-oriented (PO) (rules-oriented [RO]) auditors. Conducting two experiments, results from two distinct tasks confirm our research question; novice auditors classified as RO (PO) are more (less) likely to recommend a more aggressive/client-favorable disclosure judgment.

Auditor orientation (i.e. rules or principles) has a significant impact on the application of rules-based or principles-based standards. How the standards are applied, therefore, influences auditor decision-making and thus audit quality. However, there is a paucity of auditor orientation research to date, including a validated measure. The study contributes a new measure for future research in the related accounting standards and audit quality literatures, while also identifying a potentially important construct in auditor training.

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.

This paper examines the evolution of massive open online courses (MOOCs) literature over the past 15 years and identifies its significant developments.

Utilizing main path analysis (MPA) on a dataset of 1,613 articles from the Web of Science (WoS) databases, the authors construct the main pathway in MOOC literature through a citation analysis. Pajek software is used to visualize the 34 influential articles identified in the field.

Three phases emerge in MOOC research: connectivism as a learning theory, facilitating education reform and breaking barriers to MOOCs adoption. Multiple-Global MPA highlights sub-themes including self-regulated learning (SRL), motivation, engagement, dropouts, student performance and the impact of COVID-19.

First, data limitations from the WoS core collection might not cover all research, but using reputable sources enhances data validity. Second, despite careful algorithm selection to enhance accuracy, there remains a limitation inherent in the nature of citations. Such biased citations may result in findings that do not fully align with scholars' perspectives.

The authors' findings contribute to the understanding of MOOCs literature development, enabling educators and researchers to grasp key trends and focus areas in the field. It can inform the design and implementation of MOOCs for more effective educational outcomes.

This study presents novel methodologies and important findings for advancing research and practice in MOOCs.

It is critical for those who are engaged in the work of resisting the movement of academically restrictive policy to understand that it is a deliberate act on the part of conservatives to outlaw critical race theory (CRT) specifically, because it is a theoretical mechanism for discrediting the rhetorical foundations of their policy movement. The knee-jerk institutional courses of action to now defund initiatives and curriculum related equity, diversity and inclusion (EDI) represent what has always been a deeply rooted investment in white supremacy on the part of the institutions (Baldwin, 2021; Patel, 2021; Squire, 2021).

The author explores and defines the CRT tenets of interest convergence (Bell, 1980) and whiteness as property (Harris, 1993) in relation to EI (Fricker, 2007; Dotson, 2011) as frameworks for examining three EGOs in the region where these policies have become most dominant. All three are critical tools of analysis for understanding the stake the White conservative political elite have in EGOs, and the magnitude of EI these policies represent, and stand endorse in their rhetoric. Definitions of EI often rely on the work of Amanda Fricker’s (2013) text on the subject, but this paper is invested in the expansions of this theorization for speaking to the nature of the injustice that EGOs represent as a matter of historical trend, with grave implications for futures marked by continued oppression. Whiteness as property and interest convergence are points for explicating the dialectic and material aspects of issues of race and equity in this country; namely, how knowledge processes inherent to higher education sound even more alarms as EGOs become commonplace for college campuses.

To support the arguments laid out, the author provides a historical review of the settler-colonial foundations of higher education as an american institution. This is meant to provide contour to the image of postsecondary education that exists today. In accordance with this paper’s allegiance to CRT, many of the texts would be considered revisionist history (Delgado and Stefancic, 2023), which stray from dominant narratives of american comfort and speak more accurately to the experiences of minoritized populations. The author then applies the same analysis to the sociopolitical contexts of EGOs, and to policy language itself. Each section is closed with an explanation of its connection to tenets of CRT and EI so as to provide a thread to follow into the subsequent discussion section.

In the first presentation of the early writings of this work, the author was lucky enough to be in community with Barbara Applebaum at the annual meeting for the American Educational Studies Association and engage in discourse surrounding EI and CRT applications to EGOs. In conversations surrounding the will in the willful ignorance that is exemplified in the movement of EGOs, the author had shared with Dr Applebaum the early thinking on how that will was the same force that brought together converging interests, which have continually forecasted interest divergence. This is commonly referred to as “political backlash.” The author had said something along the lines of: “if we follow the interest convergence, we can get in front of the subsequent political moves to turn the clocks on what was once celebrates progress.” This conversation planted the seed for what is the thesis of this paper. Interest convergence and divergence happen at the will of white populations because of the american truth of whiteness as property. In the context of higher education, this means that because educational pursuit has largely been white property, it has served as an arena for white populations to converge and diverge their interests with those of the minoritized. For example, the policies that drained federal funding for higher education in the 1970s were passed on the tails of a Civil Rights Movement that shook the very foundation of this country and expanded access to postsecondary education for racially minoritized groups (Berret, 2015).

Ensuring that this social construction is a matter of status quo has largely been the work of postsecondary institutions, and EGOs represent the most recent attempt at epistemically imposed inferiority. Explicit attention to the fact of higher education’s complicity and overall investment in the socialization of oppression is necessary to engage in transformative practice that resists anachronism. If higher education researchers and practitioners do not recognize the stake in both the presence and resistance to EGOs, there would likely be acts of resistance that will belie an act of interest convergence – and later divergence – on the part of the state.

Established companies often engage with startups as a way to improve their innovation performance. While there has been extensive discussion on the reasons, modes, and expected outcomes of these initiatives, there is still a need to understand more about how corporate engagements with startups (CEwS) evolve and how they can enhance a company’s innovation capability. This study proposes a framework of engagement strategies, discussing their purposes and implications to understand the subject better.

This study involved managers from twelve large, established companies across various sectors. The authors used a multicase approach to analyze their experiences and offer a framework for corporate-startup engagement.

The framework for corporate-startup engagement consists of four main strategies: (1) innovative improvement, (2) R&D expansion, (3) more value to corporate venture capital and (4) ecosystem articulation. The authors found that ecosystem articulation, which combines the potentials of the other three strategies, is the most sophisticated approach.

This study offers a systematic view of the CEwS phenomenon, identifying the various modes of engagement, the reasons for adopting each one and potential ways to advance and improve them. For managers, the study reveals the CEwS as a lever to build innovation capabilities over time.

The transformation towards the Green Economy (GE) in Poland is a relatively new topic for researchers, policymakers and business practitioners. A comprehensive picture of the shift towards the GE can help mentioned groups translate theoretical assumptions into practice.

This chapter presents the assessment of Poland's shift towards the GE, measured by the proposed Green Transformation Index (GTI).

The set of GE indicators was elaborated in Structured Literature Review (SLR) variation method. Then, this set of indicators was compared with the Statistics Poland (GUS) secondary data and employed in the taxonometric calculation methods.

In the result, the GTI for the Polish economy was proposed and calculated between 2007 and 2020. The GTI allowed us to present a dynamic analysis of the transformation towards GE in Poland.

In this study, the central objective is to foresee stock market signals with the use of a proper structure to achieve the highest accuracy possible. For this purpose, three hybrid models have been developed for the stock markets which are a combination of support vector machine (SVM) with meta-heuristic algorithms of particle swarm optimization (PSO), imperialist competition algorithm (ICA) and genetic algorithm (GA).All the analyses are technical and are based on the Japanese candlestick model.

Further as per the results achieved, the most suitable algorithm is chosen to anticipate sell and buy signals. Moreover, the authors have compared the results of the designed model validations in this study with basic models in three articles conducted in the past years. Therefore, SVM is examined by PSO. It is used as a classification agent to search the problem-solving space precisely and at a faster pace. With regards to the second model, SVM and ICA are tested to stock market timing, in a way that ICA is used as an optimization agent for the SVM parameters. At last, in the third model, SVM and GA are studied, where GA acts as an optimizer and feature selection agent.

As per the results, it is observed that all new models can predict accurately for only 6 days; however, in comparison with the confusion matrix results, it is observed that the SVM-GA and SVM-ICA models have correctly predicted more sell signals, and the SCM-PSO model has correctly predicted more buy signals. However, SVM-ICA has shown better performance than other models considering executing the implemented models.

In this study, the data for stock market of the years 2013–2021 were analyzed; the long length of timeframe makes the input data analysis challenging as they must be moderated with respect to the conditions where they have been changed.

In this study, two methods have been developed in a candlestick model; they are raw-based and signal-based approaches in which the hit rate is determined by the percentage of correct evaluations of the stock market for a 16-day period.

This article aims to investigate the financial constraints and nonlinearity of farm size growth.

Farm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.

Results show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.

Further research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.

The implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.

The dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.