Search results

This study investigates the relationship between board gender diversity (BGD) and the time to Initial Public Offering (IPO), which stands as an entrepreneurially risky choice, particularly challenging in family firms. We also investigate the moderating role of family ownership dispersion (FOD).

We draw on an integrated theoretical framework bringing together the upper echelons theory and the socio-emotional wealth (SEW) perspective and on hand-collected data on a sample of Italian family IPOs that occurred in the period 2000–2020. We employ ordinary least squares (OLS) regression and alternative model estimations to test our hypotheses.

BGD positively affects the time to IPO, thus, it increases the time required to go public. FOD negatively moderates this relationship. Our findings remain robust with different measures for BGD, FOD, and family business definition as well as with different econometric models.

The article develops literature on family firms and IPO and it enriches the academic debate about gender and IPOs in family firms. It adds to studies addressing the determinants of the time to IPO by incorporating gender diversity and the FOD into the discussion. Finally, it contributes to research on women and outcomes in family firms.

This study aims to explore the process of identifying and defining multiple capitals in the integrated report (IR) of a government-owned tourism company.

Interventionist research was conducted using a case study design. The researcher was directly involved in developing the first IR of Zètema, a heritage and tourism company owned by the Municipality of Rome. The research team analyzed internal reports, business model (BM), strategic plan and marketing plan, and collected data through semistructured interviews and participation in company meetings.

A template based on a step-by-step deductive process to select and define relevant capitals was derived. Following this process, an appropriate form of capital emerged: “cultural capital”. Furthermore, this study emphasizes a novel awareness of the different meanings that capitals can assume as inputs and outcomes of a BM.

This study meets the demand for empirical research that investigates real information in integrated reports intended for those for whom value is created. Thus, the paper contributes to the existing knowledge on integrated reporting by examining the partially explored concept of capital, particularly its identification process. Furthermore, this study provides support to preparers of integrated reports by defining a conceptual reference model for the disclosure of significant capitals and underlining the importance of distinguishing capitals as input or outcome.

Nanotechnology (NT) advancements in personal protective textiles (PPT) or personal protective equipment (PPE) have alleviated spread and transmission of this highly contagious viral disease, and enabled enhancement of PPE, thereby fortifying antiviral behavior.

Review of a series of state of the art research papers on the subject matter.

This paper expounds on novel nanotechnological advancements in polymeric textile composites, emerging applications and fight against COVID-19 pandemic.

As a panacea to “public droplet prevention,” textiles have proven to be potentially effective as environmental droplet barriers (EDBs).

PPT in form of healthcare materials including surgical face masks (SFMs), gloves, goggles, respirators, gowns, uniforms, scrub-suits and other apparels play critical role in hindering the spreading of COVID-19 and other “oral-respiratory droplet contamination” both within and outside hospitals.

When used as double-layers, textiles display effectiveness as SFMs or surgical-fabrics, which reduces droplet transmission to <10 cm, within circumference of ∼0.3%.

NT advancements in textiles through nanoparticles, and sensor integration within textile materials have enhanced versatile sensory capabilities, robotics, flame retardancy, self-cleaning, electrical conductivity, flexibility and comfort, thereby availing it for health, medical, sporting, advanced engineering, pharmaceuticals, aerospace, military, automobile, food and agricultural applications, and more. Therefore, this paper expounds on recently emerging trends in nanotechnological influence in textiles for engineering and fight against COVID-19 pandemic.

Current developments in the FinTech payment industry have shown a rapid revolution in Industry 4.0, and understanding the factors affecting individual acceptance of facial recognition payment (FRP) is crucial. Hence, this study aims to evaluate the benefits and risks of FRP system adoption in Malaysia.

The perceived risks and benefits framework is adopted as the foundation in this study to examine the various risks and benefits that users perceive, along with the trust factor, to study the relationships between these variables. Data were collected via an online questionnaire, and the hypotheses were tested using Partial Least Squares analysis on 277 responses.

The results revealed that perceived risk is a significant predictor of users' intention to use the FRP system. Privacy risk and financial risk significantly influence perceived risks, while security risk does not. Although convenience, perceived ease of use and perceived trust positively influence perceived benefits, perceived benefits do not significantly influence adoption intention. Moreover, perceived trust negatively affects perceived risks while positively affecting both perceived benefits and adoption intention. Additionally, personal innovativeness moderates the relationship between perceived risks and the intention to use the FRP system.

This study helps policymakers and service providers understand individuals’ concerns and expectations regarding FRP systems. It aids practitioners in developing strategies to build trust, address innovativeness differences and mitigate risks, serving as a roadmap for integrating these systems into Malaysia's financial landscape.

This study distinguishes itself from prior research by evaluating FRP system adoption in Malaysia through the lens of perceived risks and benefits framework. It also explores personal innovativeness as a moderator, examining its impact on the relationship between usage intention and perceived risks and benefits. Additionally, it highlights perceived trust as a crucial factor influencing individuals' intention to adopt FRPs.

This study analyzes the performance implications of adopting blockchain to support supply chain business processes. The technology holds as many promises as implementation challenges, so interest in its impact on operational performance has grown steadily over the last few years.

Drawing on transaction cost economics and the contingency theory, we built a set of hypotheses. These were tested through a long-term event study and an ordinary least squares regression involving 130 adopters listed in North America.

Compared with the control sample, adopters displayed significant abnormal performance in terms of labor productivity, operating cycle and profitability, whereas sales appeared unaffected. Firms in regulated settings and closer to the end customer showed more positive effects. Neither industry-level competition nor the early involvement of a project partner emerged as relevant contextual factors.

This research presents the first extensive analysis of operational performance based on objective measures. In contrast to previous studies and theoretical predictions, the results indicate that blockchain adoption is not associated with sales improvement. This can be explained considering that secure data storage and sharing do not guarantee the factual credibility of recorded data, which needs to be proved to customers in alternative ways. Conversely, improvements in other operational performance dimensions confirm that blockchain can support inter-organizational transactions more efficiently. The results are relevant in times when, following hype, there are signs of disengagement with the technology.

The study of mindfulness is still shown to be of interest in different aspects of organisations and/or businesses. Therefore, this study aims to present an integrative, multi-level model of mindfulness based on a holistic approach that can contribute to better governance practices and lead to competitive advantages.

To fulfil this aim, an extensive integrative review of the literature, from the main articles about this topic, was made.

This study shows that the concept of mindfulness, a conscious presence or full attention and its relation with organisations or firms’ personal, behavioural and social characteristics, in the current context of great adversity, uncertainty and unpredictability, is of interest at the individual, organisational and social level.

This conceptual study has important implications for both practice and theory. It demonstrates that mindfulness significantly impacts the manager/business person’s ecosystem at the individual, organisational and social levels, particularly in relation to Sustainable Development Goals.

This study introduces a comprehensive theoretical model that explains this relationship and organises information from a multi-level perspective. This approach can contribute to the advancement of theory by clarifying and discussing the role of mindfulness at the individual, organisational and societal levels. It also identifies opportunities and outlines future research directions, aiming to promote more sustainable development.

This paper aims to investigate whether all the dimensions of institutional pressures matter for energy management (EM) of manufacturing small and medium enterprises using evidence from Uganda.

This study used a cross-sectional design using evidence from 195 manufacturing small and medium enterprises in Uganda. The study was conducted by administering a questionnaire to obtain quantitative data which were analyzed using Smart Partial Least Square Structural Equation Modeling.

The findings revealed that two dimensions of institutional pressures (coercive and mimetic) positively and significantly predict EM, unlike normative pressures. Notable is that coercive pressures contribute more to EM than mimetic pressures.

This study uses a quantitative design; thus, future studies through interviews would offer more knowledge on EM. The government should reinforce regulations to achieve sustainable energy for all communities. Additionally, governments and industry associations should pay attention to the critical pressures (coercive and mimetic) to step up EM. Moreso, enterprise managers should comprehend government regulations and peers’ actions for effective EM.

This study contributes to EM literature by using institutional theory to examine the contribution of individual dimensions of institutional pressures to EM from the context.

The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal of enhancing shared governance, peer learning and collective learning among traditional decision-makers and local communities in emerging countries. The study seeks to foster a community of social actors who are likely to engage constructively in strategic dialogues. To enhancing shared governance and learning a hybrid model is synthesized, combining foresight and computational intelligence.

The case study explores the integration of computational intelligence and foresight through Gaston Bachelard's (Bachelard, 1936) phenomenology concept of ante-perception. The mathematical representation of the cone of scenarios provides a structured way to explore multiple future pathways, allowing communities to visualize and compare different trajectories and make informed decisions amid uncertainty. The model facilitates critical reflections on present assumptions, deepening insights into future scenarios. Ante-perception challenges traditional approaches to foresight by encouraging a break from established experiences, allowing for novel insights into possible futures. When enriched by computational intelligence, this reflective process is further strengthened by quantitative approach scenario modeling.

This research develops and tests a proposal that includes the logic and methods for constructing a mathematical representation of the cone of scenarios. This process, which is interactive and deliberative, is driven by anticipation and combines qualitative and quantitative approaches within a context of high uncertainty. By combining the critical reflection facilitated by ante-perception with the predictive power of computational intelligence, the model allows communities to transcend established thought patterns and explore innovative future possibilities. This integrative approach helps them envision and work toward social self-transformation.

The article aims to identify the creation of scenarios in contexts of high uncertainty, to respond to the needs of communities in emerging countries to manage change.

This article explores a novel approach to using foresight for address collective intelligence by developing a shared future vision in high-uncertainty contexts within local communities in emerging countries. The application of the hybrid model demonstrates that foresight is a key innovative social tool for developing long-term strategic reflection and planning for territories.

In developing long-term reflective processes, explaining phenomena, mechanisms and correlations requires the use of value judgments. This set of value judgments requires a representation that facilitates their treatment, helps to account for their behavior during the inference process to form a shared future vision. Consequently, ensuring the recognition of the opinions of local communities through participatory discussion spaces and their subsequent refinement, from a technical perspective, aims to illustrate the development of this social construction process. While similarities exist, differences add value through a transfer process, often subconscious. This process stimulates collective learning and builds capacities as knowledge is developed through inquiry, evaluation, interpretation and generalization.

This research provides a unique hybrid model that fosters collective learning and engagement by integrating local community perspectives with advanced computational intelligence methods. By facilitating both reflective and quantitative approach future-shaping, it offers a practical framework for addressing uncertainty while empowering communities to shape their own futures. It underscores the importance of recognizing local community views through bottom-up participatory discussions, thereby widening the stakeholder community to active engagement in addressing broader societal issues. The case study focuses on community collaboration in Puerto Gaitán, a Colombian municipality.

The surge in the older population has gained significant interest within the tourism sector worldwide. Little empirical research has been conducted to examine the role of tourism experiences on older adults’ healthy aging. Based on Rowe and Kahn’s (1987) successful aging model, this study utilized a qualitative approach to examine the health benefits that tourism can play for seniors.

A total of 19 interviews were conducted with senior adults living in Macau aged over 60. Thematic analysis was employed for data analysis.

The results demonstrate that the tourism experience contributes to healthy aging in three ways: first, nature-based tourism benefits seniors’ physical health; second, the social interactions with friends, relatives, locals and fellow travelers during tourism activities benefit seniors' emotional well-being and third, transcendent tourism experiences can exhibit positive spirituality among seniors.

This paper not only enriches the theoretical and empirical studies on tourism and healthy aging but also puts forward relevant empirical suggestions to destination marketing organizations that target the senior tourist market.

This study aims to examine the mediating role of audit seasonality on the association between audit fees and audit quality in Nigerian deposit money banks.

The sample comprises 14 banks with annual financial statements between 2008 and 2020. The modified Baron and Kenny’s (1986) causal mediation model by Iacobucci et al. (2007) through the use of bootstrapped partial least square structural equation modelling and Sobel’s (1986) z-test is adopted to achieve this study’s objective.

The results of the causal mediation analysis show evidence of a fully mediating role of c between audit fees and audit quality in the Nigerian banking industry.

This study extends the body of knowledge by demonstrating how audit fees influence audit quality through audit seasonality as a mediator in line with the job demands-and resources and conservation of resources theories. Regulatory authorities should be wary of policies that will further increase the workload of already burdened personnel of audit firms as the uniform fiscal year-end of 31 December introduced in the Nigerian banking system has unintended consequences on audit fees and audit quality.

To the best of the author’s knowledge, this is one of the first studies to provide evidence on the indirect association between audit fees and audit quality.