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The annual holiday party is a long-standing tradition in many organizations, yet academic research has largely left the holiday party unexamined. The present study sheds light on this significant social event by exploring what factors help differentiate successful events from less successful ones.

First, the authors developed a taxonomy of characteristics of good holiday parties using a critical incident technique in which stories of holiday party experiences were analyzed following a mixed-method approach. Second, the authors quantitatively examined the relationships between these characteristics and three outcomes, including perceived organizational support, positive interpersonal interactions, and experienced fun.

The critical incident analysis revealed 11 key characteristics that distinguish good from bad holiday parties. Primary findings from the quantitative study are that games and activities, music, good food, and notable positive leader behavior are key characteristics of more successful events.

As the data were obtained using a traditional survey methodology, further research would be valuable that adopts an experience sampling methodology to capture employee experiences, perceptions, and feelings about holiday parties in real-time before, during, and after an event has occurred.

From an event planning standpoint, this research provides a framework for designing holiday parties and provides evidence as to which features matter most. From a strategic leadership perspective, this research signals that different features of holiday parties can influence different outcomes.

Beyond merely identifying important characteristics, this research provides a framework for further research on holiday parties and identifies theories that can be used in future research to explore the mechanisms that influence how and under what conditions holiday parties impact employees’ experiences at work.

Resiliency is essential for achieving the necessary level of performance and ensuring the survival of a new business during difficult times. However, neither this characteristic nor its antecedents have been exhaustively studied. Using a configuration approach, this study aims to analyze the neuropsychological and business-related characteristics of entrepreneurs that may explain their resilience during the business development process.

Using the fuzzy set qualitative comparative analysis (fsQCA), the authors investigated distinct characteristics of Costa Rican agro-entrepreneurs with high levels of entrepreneurial resilience. The fsQCA methodology identifies combinations of causal measures that result in the outcome.

From the mixture of configurations, the authors found four combinations of individual’s characteristics that explain the profile of a resilient agro-entrepreneur.

This work contributes to the literature on agricultural entrepreneurship and entrepreneurial resilience. This study identifies four distinct combinations of entrepreneurs’ characteristics that produce entrepreneurial resilience in the agricultural industry. Moreover, it incorporates individuals’ business-related attributes into examining characteristics combinations that affect resilience. Also, this research offers agro-entrepreneurs’ stakeholders, valuable insights to develop more resilient entrepreneurs.

La resiliencia es esencial para lograr el nivel de rendimiento necesario y garantizar la supervivencia de un nuevo negocio en tiempos difíciles. Sin embargo, ni esta característica ni sus antecedentes han sido exhaustivamente estudiados. Empleando un enfoque de configuración, este estudio busca analizar las características neuropsicológicas y empresariales de los emprendedores que pueden explicar su resiliencia durante el proceso de desarrollo empresarial.

Utilizando el análisis cualitativo comparativo de conjuntos difusos (fsQCA, por sus siglas en inglés), investigamos distintas características de los agroemprendedores costarricenses con altos niveles de resiliencia emprendedora. La metodología fsQCA identifica combinaciones de medidas causales que originan un fenómeno o resultado.

A partir de la mezcla de configuraciones, encontramos cuatro combinaciones de características del individuo que explican el perfil de un agroemprendedor resiliente.

Nuestro trabajo contribuye a la literatura sobre emprendimiento agrícola y resiliencia emprendedora. Este estudio identifica cuatro combinaciones distintas de las características de los emprendedores que producen resiliencia emprendedora en la industria agrícola. Además, incorpora las características empresariaes de los individuos al examinar las combinaciones de características que afectan la resiliencia. También, nuestra investigación ofrece a los públicos de interés información valiosa para desarrollar emprendedores más resilientes.

A resiliência é essencial para alcançar o nível de desempenho necessário e garantir a sobrevivência de um novo negócio em tempos difíceis. Porém, nem esta característica nem seus antecedentes foram exaustivamente estudados. Empregando uma abordagem de configuração, este estudo busca analisar as características neuropsicológicas e empresariais de empreendedores que podem explicar sua resiliência no processo de desenvolvimento de negócios.

Usando a análise comparativa qualitativa do conjunto difuso (fsQCA), investigamos características distintas de agroempreendedores costarriquenhos com altos níveis de resiliência empreendedora. A metodologia fsQCA identifica combinações de medidas causais que causam um fenômeno ou resultado.

A partir da mistura de configurações, encontramos quatro combinações de características individuais que explicam o perfil de um agroempreendedor resiliente.

Nosso trabalho contribui para a literatura sobre empreendedorismo agrícola e resiliência empreendedora. Este estudo identifica quatro combinações distintas de características dos empreendedores que produzem resiliência empreendedora na indústria agrícola. Além disso, incorpora as características de negócios dos indivíduos ao examinar as combinações de características que afetam a resiliência. Adicionalmente, nossa pesquisa oferece às partes interessadas dos agroempreendedores insights valiosos para desenvolver empreendedores mais resilientes.

This paper aimed to evaluate the differences in the use and knowledge of export promotion programs (EPPs) between Brazilian SMEs that internationalized early and SMEs that internationalized in a gradual, traditional fashion. Additionally, it tested hypotheses that distinguish these two types of SME internationalization processes in an emerging market context.

The authors tested four hypotheses in a sample of 540 SME Brazilian exporters. The sample was divided into two groups according to the born global (BG) criteria: 379 SMEs with gradual or traditional internationalization (TI) and 161 SMEs with early internationalization (EI).

The results indicate that Brazilian EI SMEs operate in more countries and continents than TI SMEs. In emerging countries such as Brazil, the domestic market continues to play an important role both for SMEs that internationalize early and those whose process is slower. Even though logistic regression could not classify the sample of TI and EI SMEs according to their knowledge about EPPs, the results led to the idea that EI SMEs currently use more specific EPPs than do TI SMEs.

Managers of successful SMEs from emerging markets need to incorporate EPPs into their internationalization strategy. In emerging markets with large domestic markets, SME managers can meet their growth needs by exploiting opportunities in both domestic and international markets.

Research on the early internationalization of SMEs has long focused on SMEs from developed markets and on internal factors. Moreover, the effects of EPPs on the firm' performance of large and SME firms has also been the subject of study. The value of this paper relies on the intersection of EPPs and the early internationalization of SMEs, even for firms in developed markets.

The purpose of this paper is to make the case that ethical guardrails in emerging technology businesses are inadequate and to develop solutions to strengthen these guardrails.

Based on literature and first principles reasoning, the paper develops theoretical arguments about the fundamental purpose of ethical guardrails and how they evolve and then uses this along with the characteristics that distinguish emerging technology businesses to identify inadequacies in the ethical guardrails for emerging technology businesses and develop solutions to strengthen the guardrails.

The paper shows that the ethical guardrails for emerging technology businesses are inadequate and that the reasons for this are systematic. The paper also develops actionable recommendations to strengthen these guardrails.

The paper develops the novel argument that reasons for the inadequate ethical guardrails in emerging technology businesses are systematic and stem from the inadequacy of laws and regulations, inadequacy of boards and the focus of business executives.

This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.

Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime identification.

A numerical two-phase flow model was validated against experimental data and was used to generate dynamic pressure signals for three different flow regimes. First, four distinct methods were used for feature extraction: discrete wavelet transform (DWT), empirical mode decomposition, power spectral density and the time series analysis method. Kernel Fisher discriminant analysis (KFDA) was used to simultaneously perform dimensionality reduction and machine learning (ML) classification for each set of features. Finally, the Shapley additive explanations (SHAP) method was applied to make the workflow explainable.

The results highlighted that the DWT + KFDA method exhibited the highest testing and training accuracy at 95.2% and 88.8%, respectively. Results also include a virtual flow regime map to facilitate the visualization of features in two dimension. Finally, SHAP analysis showed that minimum and maximum values extracted at the fourth and second signal decomposition levels of DWT are the best flow-distinguishing features.

This workflow can be applied to opaque pipes fitted with pressure sensors to achieve flow assurance and automatic monitoring of two-phase flow occurring in many process industries.

This paper presents a novel flow regime identification method by fusing dynamic pressure measurements with ML techniques. The authors’ novel DWT + KFDA method demonstrates superior performance for flow regime identification with explainability.

The purpose of this paper is to distinguish different types of sustainable digital entrepreneurs (SDEs) and explore their approaches toward enhancing organizational resilience.

Investigation of entrepreneur characteristics using Grounded Theory methodology; 12 semi-structured telephone interviews with (owner-)managers of digital-resilient small and medium-sized enterprises (SMEs) and start-ups in Germany; adaptation of a sustainability-digitalization-matrix for initial clustering; investigation of reoccurring patterns (within and between clusters) through variable-oriented content analysis; application of the capability-based conceptualization of organizational resilience for synthesis and extension.

First, the authors present a new typology of SDEs, including descriptions of the four main types (Process-Oriented System Thinker, Unconventional Strategist, Dynamic Visionary and Success-Oriented Opportunist). Second, the authors propose a conceptual framework with six success factors of organizational resilience. The framework accentuates the influence of SDEs on organizational culture and the macro-environment.

Digital sustainability and resilience are emerging management principles. The insights gained will allow (future) entrepreneurs to perform a self-assessment and replicate approaches toward enhancing SME resilience; for example, governing the co-creation of an organizational culture with a strong integrative view on sustainability and digitalization.

SMEs are characterized by high vulnerability and a reactive response to the disruptions caused by sustainability crises and digitalization. Blending sustainable and digital entrepreneurship at a micro-level, the authors identified the success factors underpinning organizational resilience that are associated with the characteristics of four types of SDEs.

This study aims to examine trends in audit committee characteristics of companies and associates characteristics subject to major change with a fee-based proxy for audit committee effectiveness.

The research adopts an empirical approach. Using descriptive and inferential statistics, observations for 253 Financial Times Stock Exchange 350 companies’ audit committee characteristics gathered from annual reports at the beginning and end of a five-year period are evaluated against averaged non-audit fees (NAF) as a proportion of total audit fees.

Audit committee composition shows an increased incidence of female membership and of members with previous audit experience. The increase in members with previous audit experience is more marked where this is gained with the incumbent auditor. An increase is also shown in chief financial officers with previous audit experience. Previous audit experience is associated with reduced NAF as a proportion of total fees. This is marked where audit experience has been gained with the incumbent auditor. These results suggest that the benefits of financial expertise gained from audit experience outweigh impairments to independence due to social ties. Nevertheless, other studies indicate concerns about independence are still well-founded.

This paper’s original contribution is to evaluate the potential effect of previous audit experience on those involved in audit committees in light of concerns raised in the literature and by regulators that external auditor independence should be maintained. The innovative fee-based proxy for audit committee effectiveness facilitates an evaluation as to which influence prevails.

The first purpose of this paper is to investigate whether corporate governance mechanisms, in particular the characteristics of the board, audit committee and risk management committee, are associated with the level of disclosure in integrated reports of South African listed firms. The second purpose of this paper is to analyze how integrated reporting (IR) affects the sustainable development goals (SDGs).

This paper uses a mixed methods approach. First, a multiple regression analysis is used to estimate the impact of corporate governance mechanisms on IR practices of a sample of South African listed firms during the period between 2019 and 2021. Using the content analysis method to measure the level of IR, disclosures were measured using a disclosure index consisting of 60 information items developed from the IIRC framework and previous studies. Second, based on a database containing 33 articles in the Meditari Accountancy Research journal with a publication date from 2013 to 2021, a systematic review of the academic literature focusing on IR is conducted to analyze how IR influences SDGs.

The results indicate that board size, board independence and risk management committee independence have a positive effect on IR practices. However, board expertise, board activity, audit committee independence, audit committee size, audit committee expertise, audit committee meetings, risk management committee expertise, risk management committee meetings, risk management committee size and the auditor type are negatively related to IR practices. The results also indicate that IR has an important role in achieving SDGs by relying on integrated thinking that integrates sustainability into the enterprise’s strategy and helps the integration of capitals. In addition, sustainable business models create long-term values.

This study was limited to a sample size of 75 firms, which is country-specific; however, it sets the tone for future empirical research on the subject matter. This study provides an avenue for future research in the area of corporate governance and IR practices in other emerging countries, especially other African countries.

This study provides useful insights for managers and policymakers to better understand which corporate governance mechanisms can best encourage a company to improve IR practices.

To the best of the author’s knowledge, this study is, perhaps, the first to examine the effect of risk management committee characteristics on IR practices. This study provides new insight into the contribution of accounting research toward the achievement of SDGs.

A better understanding of the characteristics and capabilities of women entrepreneurs can significantly improve their chances of success. Therefore, three studies were conducted for this exploratory paper. We have discovered the characteristics of entrepreneurial intelligence among female entrepreneurs through semi-structured interviews based on conventional content analysis. According to the second study, qualitative meta-synthesis was utilized to identify characteristics of women's entrepreneurial intelligence at the international level. As a third study, we examined the evolutionary relationships of entrepreneurs' intelligence components following the discovery and creation of opportunities.

The present paper was based on three studies. In the first study, 15 female entrepreneurs were interviewed using purposive sampling in the Guilan province of Iran to identify the characteristics of entrepreneurial intelligence at the national level. An inductive content analysis was performed on the data collected through interviews. Using Shannon entropy and qualitative validation, their validity was assessed. In the second study, using a qualitative meta-synthesis, the characteristics of women's entrepreneurial intelligence were identified. Then the results of these two studies were compared with each other. In the third study, according to the results obtained from the first and second studies, the emergence, priority and evolution of entrepreneurial intelligence components in two approaches to discovering and creating entrepreneurial opportunities were determined. For this purpose, interviews were conducted with 12 selected experts using the purposeful sampling method using the fuzzy total interpretive structural modeling (TISM) method.

In the first research, this article identified the components of entrepreneurial intelligence of women entrepreneurs in six categories: entrepreneurial insights, cognitive intelligence, social intelligence, intuitive intelligence, presumptuous intelligence and provocative intelligence. In the second study, the components of entrepreneurial intelligence were compared according to the study at the national level and international literature. Finally, in the third study, the evolution of the components of entrepreneurial intelligence was determined. In the first level, social intelligence, presumptuous intelligence and provocative intelligence are formed first and social intelligence and provocative intelligence have an interactive relationship. In the second level, entrepreneurial insight and cognitive intelligence appear, which, in addition to their interactive relationship, take precedence over the entrepreneur's intuitive intelligence in discovering entrepreneurial opportunities. With the evolution of the components of entrepreneurial intelligence in the opportunity creation approach, it is clear that intuitive intelligence is formed first at the first level and takes precedence. At the second level, there is cognitive intelligence is created. At the third level, motivational intelligence and finally, at the last level, entrepreneurial insight, social intelligence and bold intelligence.

This study has the potential to discover credible and robust approaches for further examining the contextualization of women's entrepreneurial intelligence at both national and international levels, thereby advancing new insights. By conceptualizing various components of entrepreneurial intelligence for the first time and exploring how contextual factors differ across nations and internationally for women's entrepreneurship, this paper challenges the assumption that the characteristics of women's entrepreneurial intelligence are uniform worldwide. It also depicts the evolution of the components of entrepreneurial intelligence.