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Despite the growing unforeseen and catastrophic events that disrupt business operations, empirical studies on the impact of operational disruption (OD) on small and medium enterprises' (SMEs) performance dimensions are limited. The study aims to investigate the moderating effect of disruption orientation (DO) and government support (GS) on the relationship between coronavirus disease (COVID-19) OD and SMEs' performance.

Quantitative survey method was used to collect data from 170 SMEs in Nigeria, through hand-delivery questionnaires. Partial least square (PLS) structural equation modeling (SEM) was employed to analyze the data.

The result shows no significant relationship between COVID-19 OD, DO and GS with SMEs' financial performance (FP). However, the relationship between COVID-19 OD and non-financial performance (NFP) is negatively significant. The relationship between DO and NFP is positively significant. DO and GS have insignificant relationship with FP. Finally, DO and GS does not moderate any of the relationships between COVID-19 OD and the dimensions of SMEs' performance.

The result implies that health-related disruptions such as COVID-19 affect only the NFP of SMEs. However, supply chain managers and SMEs are encouraged to adopt DO to enhance NFP of firms.

The current study is the first to evaluate the impact of health-related disruptions on the two major dimensions of SMEs' performance (FP and NFP) by incorporating the moderating role of internal (DO) and external (GS) factors in to a single framework. However, the paper revealed new theoretical and practical knowledge by illuminating the absence of significant relationship between COVID-19 OD and SMEs' FP, implying that COVID-19 disruption does not significantly affect SMEs' FP.

In this paper, the authors introduce supply disruption ambiguity as the inability of a sourcing firm to attach probability point estimates to the occurrence of and to the magnitude of loss from supply disruptions. The authors drew on the “ambiguity in decision-making” literature to define this concept formally, connected it to relevant supply disruption information deficit, positioned it relative to supply chain risk assessment and hypothesized and tested its negative associations with both supply base ties and inventory turnover.

The authors analysed survey data from 171 North American manufacturers and archival data for a subset (88 publicly listed) of these manufacturers via Ordinary Least Squares (OLS) estimation after ensuring that methodological concerns with survey research have been addressed. They used appropriate controls and employed the heteroskedasticity-based instrumental variable (HBIV) approach to ensure that inferences from our results are not unduly influenced by endogeneity.

Strong supply base ties decrease supply disruption ambiguity, which, in turn, increases inventory turnover. Moreover, strong supply base ties and data integration with the supply base have indirect and positive effects on inventory turnover. As sourcing firms strengthen ties and integrate data exchange with their supply base, their inventory turnover improves from access to information relevant to detect and diagnose supply disruptions effectively.

Research on supply disruption management has paid more attention to the “disruption recovery” stage than to the “disruption discovery” stage. In this paper, the authors add novel insights regarding the recognition and diagnosis aspects of the “disruption discovery” stage. These novel insights reveal how and why sourcing firms reduce their overall ambiguity associated with detecting and assessing losses from supply disruptions through establishing strong ties with their supply base and how and why reducing such ambiguity improves inventory turnover performance.

The purpose of this paper is to propose a decision support framework that can be used by decision-makers to identify the most convenient disruption analysis (DA) methods for megaprojects and their stakeholders.

The framework was initially developed by conducting a comprehensive literature review to obtain extensive knowledge about disruption management and megaprojects. Focus group discussion (FGD) sessions with the participation of the construction practitioners were then organized to validate and strengthen the findings of the literature review. Consequently, 17 selection factors were identified and categorized as requirement, ability and outcome. Lastly, the most convenient DA methods for megaprojects were identified by performing integrated fuzzy analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) analysis. Additionally, consistency analysis was also conducted to verify the reliability of the results.

The results revealed that the measured mile method is the most appropriate DA method for megaprojects. In case the measured mile method cannot be adopted due to various technical and contractual reasons, the decision-makers are proposed to consider program analysis, work or trade sampling, earned value analysis and control chart method, respectively. Second, the selection factors such as “Comprehensible analysis procedure,” “Existing knowledge and experience about a particular DA method,” “Ability to resolve greater number of disruption events,” “Ability to resolve complex disruption events,” “Ability to exclude factors that are not under the owner's responsibility” and “General acceptance by practitioners, courts, and arbitration, etc.” were given the top priority by the experts, highlighting the critical aspects of the DA methods.

Disruption claims in megaprojects are very critical for the contractors to compensate for the losses stemming from disruption events. Although the effective use of DA methods maximizes the accuracy and reliability of disruption claims, decision-makers can barely implement these methods adequately since past studies neglect to present extensive knowledge about the most convenient DA methods for megaprojects. Thus, developing a decision support framework for the selection of DA methods, this study is the earliest attempt that examines the mechanisms and inherent differences of DA methods. Additionally, owing to the robustness and versatility of this research approach, the research approach could be replicated also for future studies focusing on other project-based industries since disruption is also a challenging issue for many other industries.

The purpose of this paper is to develop a conceptual framework for the analysis of supply network disruptions and present a number of propositions to define a future research agenda. In doing so, it draws on a review of the literature regarding supply chain disruptions; relationship formation and evolution; and network formation and evolution.

The literature review combined traditional contextual analysis with citation analysis and co‐citation, assuming a multi‐level, multi‐theoretical perspective.

The findings highlight a paucity of empirical research regarding supply chain disruptions assuming a network perspective, highlighting the dynamic nature of networks and emphasising the difference between supply chain disturbance and disruption.

The paper stops short of testing specific hypotheses, providing a conceptual framework and a series of propositions from which testable hypotheses can be developed. The necessity of assuming a dynamic, multi‐level, multi‐theoretical perspective highlights the difficulties of empirical research in this area. However, the significance of understanding the network context of disruption and its connection to the securing of appropriate responses and ultimately reasonable mitigation is unavoidable.

The ability to understand the implications of network structure and network relational dynamics in the context of disruption will enable managers to respond appropriately to disruptive supply chain events. This capability will assume increasing importance in the vulnerable and sensitive global economy.

The paper's specific consideration of disruption (as opposed to disturbance), and the necessitated speed of response leads to the development of several disruption‐specific propositions and the development of a new research agenda.

The purpose of this paper is to explore metaphors of human awakening in four recent futures works and propose a research agenda on the nature and future trajectories of awakening.

The paper reviews metaphors of awakening in Slaughter's The Biggest Wake‐up Call in History, the Great Transition Initiative, Gilding's The Great Disruption and Inayatullah's “Waking up to a new future”. It identifies seven characteristics of awakening and uses these to create an environmental scanning framework. It reports on a preliminary application of the framework and proposes a future research agenda.

The paper identifies seven signals of awakening: futures literacy, shifting values, activism, collective agency, engaged dialogue, distributed leadership and inspiring visions. While evidence for most of these signals can be found, it is often weak and dominated by other trends.

The environmental scanning framework needs to be expanded using additional literature and testing. The question of when confrontation with apocalyptic future images can deliver positive outcomes remains unresolved.

Perhaps the single most important thing that could be done to help rouse sleeping humanity is to begin to make connections between the diverse movements identified in the paper and to see them as pieces of the larger puzzle of how we wake up. Maybe an “awakening movement” could provide a common goal in the twenty‐first century.

The paper is an original exploration of the metaphor of awakening in four prominent works on sustainable futures. It will have value to foresight practitioners and change agents who are building movements for sustainable futures.

Two recent books will be of considerable value to company leaders and strategists seeking to deepen their understanding of the major trends driving this current wave of global transformation: “No Ordinary Disruption: The Four Global Forces Breaking All the Trends” and “China’s Disruptors: How Alibaba, Xiaomi, Tencent and Other Companies are Changing the Rules of Business.”

The author considers what dynamic capabilities that will be needed to compete in a world of “transient advantage,” like modern China, with its “complicated and quickly changing demand pattern,” hyper-competition, shifting industry boundaries, and “discontinuities in the regulatory context.” He believes that China is the business management laboratory within which these skills are already being honed.

By the turn of the millennium, the total revenue generated by private [Chinese] companies had already risen to parity with those of the state-enterprise sector, and since then it has grown more than six times faster.

The rise of China’s reform era entrepreneurs has come in three waves to date, each representing a significant progression in the collective capabilities and sophistication of the country’s ever-expanding entrepreneurial cadre.

Foreign multi-nationals would be wise to consider “what capabilities will have to be developed in China, for China,” learn from their Chinese rivals and ask where it might be possible to use these new “China’ capabilities ” to enhance performance globally.

International Education is worth billions of dollars to the world economy, and many countries such as the United States, United Kingdom, Canada and Australia have government initiatives that look to stimulate and guide international student mobility, research and technology transfer. The involvement of the state into student mobility does not come without risk. Government foreign policy and international relations between sending countries and English-speaking study destinations threatens to upset the historical norms of international mobility. What is more, world events such as the global pandemic of 2020, will have a profound impact on the future of international education, and may change the international landscape altogether. This chapter will frame the challenges facing institutions who benefit from international mobility in the context of geopolitics and world events. It will explore how institutions can leverage strategic enrolment management tactics to help mitigate enrolment risks posed by global disruption.

This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a social learning process (mediators) into the model.

An online survey was conducted on 197 small fresh produce (fruits and vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software.

This research reveals that information sharing is positively and significantly associated with information quality and that the two constructs are not directly associated with FPSC performance. The path analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive and affective appraisals to the information-sharing activity. It also suggests that the effect of information quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic.

This research is the first to employ a predictive model assessment in PLS-SEM to empirically predict the effect of information sharing on FPSC performance using a social learning perspective, particularly in the context of the COVID-19 pandemic.

This paper aims to determine the extent to which employees’ experiences of acoustic comfort, well-being and productivity in open-plan offices are determined by specific characteristics (including demographic information, task characteristics, and personality traits).

A questionnaire was distributed to the occupants of three open-plan office sites and was completed by 166 employees in total.

The results indicated that acoustic comfort in open-plan offices is largely determined by noise sensitivity. Higher noise sensitivity was associated with more negative ratings of acoustical quality, more perceived disturbance by speech and more difficulties in concentration. More negative experiences were also reported by employees with lower interactivity with colleagues.

There is significant inter-individual variability in experiences of acoustic comfort, well-being and productivity in open-plan offices. As such, workplace practitioners should consider acoustic and behavioural solutions for introducing a greater diversity of functional workspaces within the office, so that employees can choose the most suitable working area for their requirements.

Whereas the majority of past acoustics research has been laboratory-based, this study is conducted in real office environments with a representative sample of knowledge workers.

Amidst ongoing digital transformation, the current paper provides a 360-degree overview of technology-adoption in Tourism and Hospitality. By combining and consolidating a wide range of sources, mainly in the tourism literature, the analysis depicts how the complex technological ecosystem often enhances or hinders the successful adoption, integration and interoperability of different technologies.

The critical review method was used to assess, analyse and synthesise existing literature in the area of digitisation in tourism and hospitality. The critical review process included a thematic analysis of the literature, where recurring themes, patterns and trends were identified towards addressing the study’s research questions.

The analysis identifies current trends, opportunities, challenges and strategies for technology adoption in tourism and hospitality, the implications for theory, practicable executive directions and avenues for further research.

The paper’s main contribution lies in its comprehensive identification, consideration and incorporation of all primary contemporary technological elements, and the ensuing development of a corresponding conceptual charting framework, which illustrates a multifaceted process with practical implications for various stakeholders, including businesses, authorities, consumers and employees.