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The dynamic of the business environment has escalated the competition and uncertainty, which is challenging business survivability, particularly for small and medium enterprises (SMEs). SMEs attract researchers due to their unique characteristics that have limited resources but great flexibility and adaptability. Furthermore, Collaborative Networks (CNs) have been proposed by business scholars as a critical strategy to gain resilience and antifragility. However, the concept of antifragility and its relation with CNs is still vague in the SME sector. Therefore, this study aims to develop a complete understanding regarding: (1) the emerging knowledge that is critical in explaining antifragility in the business sector based on co-citation and thematic analysis; (2) the relation between resilience and antifragility in emerging business research; (3) the relation between CNs and antifragility in emerging business research and (4) a framework of antifragility in the SME context.

Bibliographic Analysis and Systematic Literature Review are performed to reach the research objectives. We use co-citation and thematic analysis to identify the map of emerging knowledge and the related concepts, which are the fundamentals of antifragility. Furthermore, we use a systematic literature review to determine the relation of antifragility, resilience and CNs in the SME context.

Antifragility is a higher level of survivability compared to resilience. Antifragile SMEs could gain an advantage from the uncertain business environment. However, both in resilience and antifragility, SMEs should become active learners. Furthermore, CNs are proposed as the gateway for SMEs to manage their resource limitations. The conceptual framework of Antifragile SMEs is presented as the theoretical contribution of this manuscript.

This article explains the knowledge structure of antifragility in the business sector, particularly among SMEs. Based on bibliometric data, we describe critical characteristics or mental states entrepreneurs should have when facing uncertainty. Furthermore, we propose a conceptual framework for antifragile SMEs where active learning and positive psychology are the pillars, and CNs are critical ingredients of antifragility in SMEs.

The paper explores and characterizes antifragility in simple inventory systems exposed to demand variability, providing the initial inroads to operationalizing antifragility in the context of inventory management. Antifragility refers to the feature of a system that can benefit from uncertainty, rather than suffer from it. The paper expands the concept of inventory beyond that of risk mitigation and towards one of enabling antifragility.

The study employs analytical and simulation modelling of an inventory system with two classes of demand. To separate the influence of factors, a simple inventory policy with a range of fixed order quantities is modelled, allowing for the identification of antifragile regions in an experimental space.

Outputs uncover a variety of performance outcomes, ranging from settings where additional inventory yields no benefit, to areas where additional inventory results in increasing normalized profit with increasing uncertainty, demonstrating antifragility. In between these regions, increases in normalized profit are bounded, and confined to specific regions.

This research expands academic understanding of inventory as a vehicle to achieving antifragile outcomes. Although this paper does not solve for an optimal policy as typical inventory research does, it instead characterizes the antifragile outcomes within simple inventory systems. Further research should be carried out to investigate antifragility in settings of greater complexity and design ordering policies leveraging inventory towards a gain from uncertainty.

Typically, inventory is used to buffer against uncertainty, and, with a given amount of inventory, the performance is expected to degrade with increasing variability. In this paper, the authors demonstrate that certain levels of additional inventory can result in antifragility and increase profitability as uncertainty increases, extending beyond traditional conceptualizations of inventory and uncertainty.

Empirical research into designing antifragile outcomes is limited, with very few examples of increasing performance with increases in uncertainty. This article presents an initial empirical exploration of how additional inventory can result in antifragility.

This opinion piece draws on the author's experience as a thought leader and expert practitioner in risk management to explore possible routes to applying antifragility in the organisational context, drawing on three metaphors from outside the business domain. Organisational responses to stressors have focused on the development of robustness and resilience. Recent global events have highlighted weaknesses in both these approaches. Antifragility might prove to be a valuable addition to the organisational armoury, but little progress has been made in finding practical implementations of the concept since it was first proposed over 10 years ago (Taleb, 2012).

Distinctions between robustness, resilience and antifragility are clarified. Descriptive analogy is used to expose ways in which antifragility might be implemented in practice, by comparison with three disparate metaphors.

Antifragility is currently not well understood or implemented, but it offers a potentially powerful additional organisational strategy in response to stress, to complement more traditional robustness and resilience approaches. Drawing on the three metaphors, four distinct types of antifragility are outlined which suggest how organisations might begin to develop antifragility in practice: innate antifragility, adaptive antifragility, rheopectic antifragility and emergent antifragility. These are presented as an organisational antifragility taxonomy that can support further research and practice.

The use of metaphor to explore antifragility is unique, providing insights into ways it might be applied.

The present article draws from the behavioral theory of the firm, and it explores whether various dimensions of organization slack can be employed as variables to measure organizations’ antifragility during times of uncertainty such as the Covid-19 pandemic. Furthermore, considering the limitations and regulations put into place during the most recent pandemic, the present study seeks to explore the moderating effect that collaborative networks might have on the relationship between various dimensions of organizational slack and firms performance.

The present study retrieves data from Thomson Reuters Data Stream, and it gathers observations from manufacturing companies located in Europe. The dataset is composed of observations spanning from the fiscal year 2019–2022. Consequently, through the use of a balanced panel data, the authors conduct multiple regression analysis.

The obtained empirical findings reveal that high discretion slack has a positive effect on companies performance whereas low discretion slack has a negative effect on their performance. Additionally, the obtained findings indicate that low levels of reliance on collaborative networks positively moderates the relationship between organizational slack and firms’ performance. On the other hand, high levels of reliance on collaborative networks negatively moderate the relationship between organizational slack and firms performance.

This manuscript carries several original contributions. It expands the literature stream concerning antifragility and collaborative networks. Additionally, it postulates an operational measure which can be used to indicate firms’ antifragility.

This work aims at investigating the variables that foster antifragility in the context of small and medium-sized service companies (service SMEs).

This work adopts an exploratory approach in order to deepen five examples of service SMEs that were able to change their own business models and to reinforce their strategic position while facing the COVID-19 pandemic.

The ingredients of antifragility ability include: entrepreneurial orientation, context insightfulness and operational dexterity. This article singles out the resources and capacities backing the blossoming of antifragility abilities in service SMEs. Slack financial resources, many and diverse research-and-innovation partners, operational dexterity, fastness and creativity are included among such resources and capabilities.

Crises may occur frequently in many ways; thus, this work provides some guidance geared to services SMEs in order to increase their level of preparedness for future crises and to nurture their ability to transform them into opportunities.

Despite many concepts associated with antifragility have been dealt with in literature such as resilience or agility, antifragility is hitherto underexplored. This article is among the first ones to explore factors fostering antifragility in service SMEs.

To explore the value and the case for designing antifragile socio-technical information systems (IS) in an era of big data, moving beyond traditional notions of IS design towards systems that can leverage uncertainty for gains.

A design science research (DSR) approach was adopted, comprising four stages, including problem identification and solutions definition, conceptual artifact or socio-technical system design, preliminary evaluation, and communication and knowledge capture.

A conceptual socio-technical artifact that identifies antecedents to antifragile IS design. When operationalised, the antecedents may produce the desired antifragile outcome. The antecedents are categorised as value propositions, design decisions and system capabilities.

This research is conceptual in nature, applied and evaluated in a single big data analytics case study in Facebook-Cambridge Analytica. Future research should empirically validate across a range of real-world big data contexts, beyond the presented case study.

Uncertainty generally results in socio-technical system failures, impacting individuals, organisations and communities. Conversely, antifragile IS can respond favourably to the shocks and stressors brought forth by periods of elevated uncertainty.

Antifragile IS can drive socio-technical systems to respond favourably to uncertainty and stressors. Typically, these socio-technical systems are large, complex structures, with increased connectivity and the requirement to generate, process, analyse and use large datasets. When these systems fail, it affects individuals, organisations and communities.

Existing IS design methodologies and frameworks largely ignore antifragility as a possible designable outcome. Extant research is limited to abstract architectural design, and approaches based on the proposition of principles. This research contributes to knowledge of antifragile IS design, by deriving a conceptual artifact or socio-technical system based on antecedent-outcome relationships that leverage uncertainty towards performance gains.

Disruptions are appearing more frequently and having an ever greater impact on supply chains (SC), affecting the vulnerability and sustainability of organisations. Our study proposes an innovative approach to address contemporary challenges by introducing coopetition as a strategic capability. The aim of this study is to enable companies to adapt and thrive by applying a tool that measures and monitors different logistical scenarios to improve performance and antifragility.

With the aim of jointly planning transport activities of two competing companies, we present a linear programming model that promotes synergies which enhance resource utilisation. To demonstrate the validity of the model, a case study is conducted to measure, monitor and evaluate the results obtained after collaborating on SC activities.

Current tools to support logistics planning are not effective because they hamper information exchange, cost allocation and performance measurements. Our innovative model optimises collaborative networks (CNs) and monitors economic, environmental and social improvements. The case study shows the reduction of logistics costs (13%), carbon footprint (37%) and the improvement of social antifragility when agility and flexibility emerge.

CNs have become an effective means of enhancing resilience, but there are no empirical contributions to demonstrate how to achieve this. We provide a real case with computational experiments that provide empirical evidence of the effectiveness of the model, which measures, optimises and evaluates SC performance in coopetitive environments. This approach is a guide to researchers and practitioners when creating simulations to reduce risks and facilitate decision-making.

Covid-19 pandemic impacted the tourism industry worldwide. Especially in catering, where restaurateurs have had to reinvent their business models, information and communication technologies (ICTs) play a fundamental role in supporting these changes, transforming barriers into opportunities. The purpose of this study is to investigate how restaurateurs’ perception of ICTs has changed before and during Covid-19 and to detect whether ICTs can be considered a tool to foster antifragility, resilience and value co-creation as ideal outcomes.

This study presents a longitudinal study on the use of ICT platforms by Italian restaurant managers. The case study analyzed is TheFork. Data collection took place in two different rounds: before Covid-19 (year 2017) and during Covid-19 (year 2020).

The findings of this study reveal how new rules imposed by the Government changed restaurant managers’ attitudes towards technology. In 2017, restaurateurs showed reticence towards technology, not used in a strategic way; today, everyone uses ICT to improve business.

The study shows that ICT platforms enable antifragility, resilience and value co-creation, creating a service ecosystem supporting restaurant management.

Manufacturers face increasing demands to address inefficiencies and improve environmental performance across their supply chains. However, there remains a significant gap in empirical research examining how collaboration in the supply chain affects various environmental practices and their consequent impacts on performance. This study aims to address the gap by examining how shared goals and vision drives compliance-oriented and prevention-oriented practices, subsequently affecting environmental performance and operational costs—critical for fostering antifragility and resilience in today’s environment.

An empirical study has been performed based on a sample of survey data from 279 manufacturers from fifteen countries and regions. Applying structural equation modeling analysis to the sample dataset, this study examines the mediating role of two distinct types of environmental practices between shared goals and visions and manufacturers’ environmental performance and operational cost.

This study delineates distinct pathways through which shared goals and vision affect various types of environmental practices, and consequently lead to different performance outcomes: (1) environmental impact of manufacturing activities depends on the collective efforts of the manufacturers and their supply chain partners; (2) shared goals and vision among supply chain partners facilitates both environmental performance and operational cost through prevention-oriented practice; (3) shared goals and vision in supply chain benefits operational cost performance primarily through prevention-oriented practice, but less likely through compliance-oriented practice.

This study reveals two distinct pathways through which the shared goals and vision impact various performance outcomes, providing valuable guidance to businesses aiming to balance operational cost and environmental performance — crucial for resilience in today's turbulent environment.

This study not only corroborates existing theories of the Natural Resource-Based View and collaborative networks but also provides a detailed depiction of how collaboration across the supply chain promotes a diverse range of environmental practices and yields varied performance outcomes. It offers vital insights for supply chain participants to effectively navigate environmental challenges, enabling them to cultivate resilience and proactively address environmental issues.

This paper aims to offer an innovative and original solution methodology proposal to the problem of arbitrary complex multiscale (ACM) ontological uncertainty management (OUM). The solution is based on the postulate that society is an ACM system of purposive actors within continuous change. Present social problems are multiscale-order deficiencies, which cannot be fixed by the traditional hierarchical approach alone, by doing what one does better or more intensely, but rather by changing the way one does it.

This paper treasures several past guidelines, from McCulloch, Wiener, Conant, Ashby and von Foerster to Bateson, Beer and Rosen’s concept of a non-trivial system to arrive to an indispensable and key anticipatory learning system (ALS) component for managing unexpected perturbations by an antifragility approach as defined by Taleb. This ALS component is the key part of our new methodology called “computational information conservation theory (CICT) OUM” approach, based on brand new numeric system behavior awareness from CICT.

To achieve an antifragility behavior, next generation system must use new CICT OUM-like approach to face the problem of multiscale OUM effectively and successfully. In this manner, homeodynamic operating equilibria can emerge out of a self-organizing landscape of self-structuring attractor points in a natural way.

This paper presents a relevant contribution toward a new post-Bertalanffy Extended Theory of Systems. Due to its intrinsic self-scaling properties, this system approach can be applied at any system scale: from single quantum system application development to full system governance strategic assessment policies and beyond.

The new post-Bertalanffy Extended Theory of Systems Framework allows, for the first time, social, biological and biomedical engineering ideal system categorization levels, from an operational perspective, to be matched exactly to practical system modeling interaction styles, with no paradigmatic operational ambiguity and information loss.

Even new social and advanced health and wellbeing information application can successfully and reliably manage higher system complexity than contemporary ones, with a minimum of design specification and less system final operative environment knowledge at design level. The present paper offers for discussion an innovative solution proposal for the complex society and big government modeling and management approach.

Specifically, advanced wellbeing applications, high reliability organization, mission critical project system, very low technological risk and crisis management system can benefit highly from our new methodology called CICT OUM approach and related techniques. This paper presents a relevant contribution toward a new post-Bertalanffy Extended Theory of Systems. Due to its intrinsic self-scaling properties, this system approach can be applied at any system scale: from a single quantum system application development to full system governance strategic assessment policies and beyond.