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This paper aims to analyze the dynamics of the Spanish public debt–gross domestic product ratio during the period 1850–2020.

This study uses a recent procedure to test for recurrent explosive behavior (Phillips et al., 2011; Phillips et al., 2015a, 2015b) to identify episodes of explosive public debt dynamics and also the episodes of fiscal adjustments over this long period.

The identified episodes of explosive behavior of public debt coincided with fiscal stress events, whereas fiscal adjustments and changes in economic policies stabilized public finances after periods of explosive dynamics of public debt.

The longer than usual span of the data should allow the authors to obtain some more robust results than in most of previous analyses of long-run sustainability.

Digital transformation (DT) projects are complex and often unsuccessful. While researchers have suggested many guidelines and best practices on how to successfully roll out DT projects and how they are spread among a large number of scientific papers. The aim of this paper is to synthesize these guidelines into clear overviews.

A systematic literature review was conducted on both Scopus and Web of Science to search for papers suggesting DT guidelines or best practices. In total, 150 papers dealing with DT and guidelines were fully analyzed.

Eight main DT guidelines were found and each one was expanded with several best practices on how to implement these. The results are eight tables giving an overview of the commonly agreed-upon best practices for each DT guideline.

These overviews are useful for both researchers and practitioners, to guide future work and to be inspired respectively. This paper calls for more research on how these guidelines are followed in practice, how these differ per industry and what their impact is on the overall success of DT projects.

The synthesis of DT guidelines organized into an accessible format has not yet been conducted before, and can serve as a seminal pinpoint for future research.

Past research has advanced a plethora of theoretical arguments on the effect of family ownership on firms’ international expansion and produced mixed empirical results. It is argued that the oversimplified way in which researchers have examined theoretically and tested empirically business families’ socioemotional priorities may explain the state of fragmentation in the literature. This study aims to investigate the differential effects of restricted (short-term and family-centric) versus extended (long-term and business-centric) socioemotional priorities on the extent of family firms’ internationalization to capture more nuanced aspects of the socioemotional wealth concept.

The authors test the hypotheses through OLS regressions on a sample of 287 family firms.

The authors find that restricted family-centric socioemotional priorities and extended socioemotional priorities related to the establishment of long-term relationships with business partners are negatively associated with the extent of family firms’ internalization. They also find that extended socioemotional priorities related to long-term orientation and transgenerational control intentions are positively associated with international expansion and that this effect is stronger for younger family firms.

This study disentangles the differential effects of two kinds of socioemotional priorities on family firms’ internationalization, thus developing more fine-grained theoretical arguments about the socioemotional drivers of family firms’ behavior. In addition, the authors directly measure socioemotional priorities instead of relying on indirect governance measures.

In this study, we question: how do the social costs of failure interact with gendered institutions to affect the early stage entrepreneurship activity? We address this question by employing the institutional theory and a unique dataset of 286,989 entrepreneurs across 35 countries.

To test our hypotheses, we use a multilevel modeling analysis that nests individual entrepreneurs within the countries. To capture individual and country-level variables, we constructed a unique dataset that combines data from the Global Entrepreneurship Monitor (GEM), European Flash Barometer (EUFB), World Bank Development Indicator (WDI), World Bank Doing Business Report (WBDB) and World Economic Forum (WEF).

Our analysis confirms that higher levels of the country-level gender equality positively correlate with the early-stage entrepreneurship activity of women. Moreover, we find that this positive relationship is amplified in institutional environments with high social costs of failure, suggesting that societal intolerance for failure can exacerbate the negative effect of gender inequality on the participation of women in entrepreneurship.

Our research contributes to academic interest on the role of legitimacy in women entrepreneurship and is of particular interest to international business scholars, seeking a better understanding of multidimensional construction of institutional frameworks across countries. In this study, we set out to address an important research question: how do the social costs of failure interact with gendered institutions to affect entrepreneurship activity? Our study provides a comprehensive portrait of gendered institutions by including the framework conditions of education, healthcare and political power. We found that in societies with gender equality, the likelihood of individuals engaging in the early-stage entrepreneurship activity is higher and that the positive relationship is strengthened in national environments with high social costs of failure.

Our study findings underscore the need for government policies addressing global gender gaps in economic empowerment. In particular, policies assisting women in obtaining education in high-growth industries like information technology or providing funding to women-dominated industries may foster activity for women seeking to do business in such industries. Such policies connect the early-stage entrepreneurship activities with gender equality concerns and initiatives.

Regarding the social costs of failure construct, specifically, prior studies generally focus narrowly on the context of failed entrepreneurs. We cast a wider net on men and women entrepreneurs’ entry decisions (irrespective of prior experience with business failure) and provide new views on the effects of social costs of failure on entrepreneurial ecosystems. We also extend the research on the legitimacy of women as entrepreneurs with the gender equality construct.

Unlike previous studies, which often focus on the “3Ms” of market, money and management, our research adopts a more holistic perspective. We recognize that the opportunities and challenges faced by entrepreneurs are shaped not only by individual skills and resources but also by the broader macroenvironment. By incorporating the framework conditions of education, healthcare and political power, alongside the intricate interplay of social costs and norms, our study paints a comprehensive picture of the landscape of female entrepreneurship.

The purpose of this paper is to analyze the effects of financial restatements (FRs) on the likelihood of the top management team (TMT) dismissal. It investigates the effects of types of FRs [corrective note and reissuance of financial statement (RFS)], of FR severity and of FR related to international financial reporting standards (IFRSs) easy or difficult-to-estimate.

The authors hand-collect: data about 96 FRs from the Italian public oversight board documents; chief executive officer (CEO) name, chairman name, year of the financial statement under investigation, total assets and operating income, from their financial statement. The authors use multivariate regression to test the effects of FRs on the probability of TMT dismissal.

The authors find that the RFS leads to a higher likelihood of chairman dismissal. A greater magnitude of misrepresentation on income statements, and FRs, which decrease net income, increase the likelihood of CEO dismissal. Difficult-to-estimate IFRSs increases the likelihood of CEO dismissal.

FRs are significant determinants of the CEO/chairman dismissal. The authors show that FRs directly involving shareholders (RFS) have negative consequences on the chairman of the board of directors, while the CEO is more affected by FRs that involve technical factors (FR severity or financial statement associated with difficult-to-estimate IFRSs).

Uncertain times [e.g. coronavirus disease 2019 (COVID-19)] require service businesses to respond in creative, flexible and resilient ways. This paper aims to develop and test the theoretical relationship between digital transformation and organizational resilience (OR), and the consequences of OR on organizations and employees during turbulent times.

A scale development was first conducted with an expert panel. Later, 474 participants who work as employees in small and medium-sized service enterprises were recruited for structural equation modeling (SEM). Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and path analysis were conducted to test the relationship between dimensions of digital maturity, dimensions of OR and two consequential variables: organizational performance and employees’ state optimism.

Strategic technology investment helps organizations to develop systematic control sustain operations in crises but may not directly contribute to employees’ capabilities of accurately understanding external turmoil, actively seeking available resources and rapidly developing adaptive solutions. Transformation management intensity equips an organization with transformative vision, governance and culture, and such transformative built-in leadership enables the organization to embrace employees with talents and innovativeness and help employees grow their capabilities when facing crises. The dimensions of OR have different influences on the organization and employees.

This research develops and tests the dimensions and measurement items of OR for the services domain and empirically tested how the dimensions of digital maturity influence the dimensions of OR, and how OR influences the organization’s performance and employees’ state optimism.

This paper aims to illustrate the potential of high-frequency data for tourism and hospitality analysis, through two research objectives: First, this study describes and test a novel high-frequency forecasting methodology applied on big data characterized by fine-grained time and spatial resolution; Second, this paper elaborates on those estimates’ usefulness for visitors and tourism public and private stakeholders, whose decisions are increasingly focusing on short-time horizons.

This study uses the technical communications between mobile devices and WiFi networks to build a high frequency and precise geolocation of big data. The empirical section compares the forecasting accuracy of several artificial intelligence and time series models.

The results robustly indicate the long short-term memory networks model superiority, both for in-sample and out-of-sample forecasting. Hence, the proposed methodology provides estimates which are remarkably better than making short-time decision considering the current number of residents and visitors (Naïve I model).

A discussion section exemplifies how high-frequency forecasts can be incorporated into tourism information and management tools to improve visitors’ experience and tourism stakeholders’ decision-making. Particularly, the paper details its applicability to managing overtourism and Covid-19 mitigating measures.

High-frequency forecast is new in tourism studies and the discussion sheds light on the relevance of this time horizon for dealing with some current tourism challenges. For many tourism-related issues, what to do next is not anymore what to do tomorrow or the next week.

This research initiates high-frequency forecasting in tourism and hospitality studies. Additionally, we detail several examples of how anticipating urban crowdedness requires high-frequency data and can improve visitors’ experience and public and private decision-making.

The purpose of this paper is to analyze the perception of the influence of greenwashing and of attitudes and beliefs in the decisions of purchase of green products in the retail.

A quantitative research was carried out by means of a survey with a sample of 880 consumers living in São Paulo city, Brazil, who buy in supermarkets weekly or biweekly.

It was possible to evaluate a model that analyzed the aspects that greenwashing carries and the aspects that the attitudes and beliefs of the consumer present. As a result, it is inferred that when greenwashing is identified in the product, it loses the aspects of loyalty, satisfaction and benefits, as well as becoming a product that causes confusion of consumption. Further, consumer attitudes and beliefs show that they are guided by the aspects of perceived loyalty, satisfaction and benefits and that the perceived risk aspect is practically ignored.

The originality of this study is in evaluating consumer perception focusing on several aspects of purchase intention simultaneously, considering perception and behavior of consumer before greenwashing and green consumption and using all aspects together (satisfaction, loyalty, subjective and control forces, risk and benefits perception). Besides complementing with other determinants like consumer attitudes and beliefs, confusion of green consumption, behavior controlled in relation to green consumption and greenwashing. Thus, it contributes with an interdisciplinary study whose scale and methodology can be used by analogous studies.