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This paper aims to theoretically and empirically demonstrate the role played by business continuity management (BCM) to address risks such as trade conflicts and natural disasters. This paper also answers whether compliance with international standards such as the International Organization for Standardization (ISO) 22301 is adequate.

A case study of Chinese telecommunications giant Huawei is conducted to examine how a robust end-to-end BCM system has been established in two decades and in what way it has helped Huawei to efficiently maintain growth under pressure, such as being added to the “Entity List” and the pandemic.

Huawei case contributes to BCM theory in its approach to establishing the BCM system and its well-established BCM model. Huawei establishes and continually improves its BCM system by applying the Plan (establish), Do (implement and operate), Check (monitor and review) and Act (maintain and improve) cycle. Characterized as 4Ps: BCM policy, BCM process, incident management plan and business continuity plan, Huawei BCM system is shaped into a loop with end-to-end BCM process, covering all steps along its value chain – from suppliers and partners to Huawei itself and then on to its customers – with key initiatives for all domains such as R&D, procurement, manufacturing, logistics and global technical services. In practice, implementing international standards such as ISO 22301 enables Huawei to develop business continuity but not enough. Optimizing the BCM system is an ongoing effort, and BCM maturity is ever present: continually improving Huawei’s own BCM system and benchmarking against best practices available worldwide.

Apart from the case study, other methods such as counter-factual analysis can be used to further test whether Huawei’s BCM system is cost-effective. Another direction for future study is whether suggested BCM maturity levels should be supplemented into ISO 22301. In the digital age, how to use digitalization to ensure business continuity is a current issue not just for practitioners such as Huawei but also for researchers worldwide.

In practice, implementing international standards such as ISO 22301 enables Huawei to develop business continuity but not enough. Optimizing the BCM system is an ongoing effort, and BCM maturity is ever present: continually improving Huawei’s own BCM system and benchmarking against best practices available worldwide.

To the best of the authors’ knowledge, this is one of the first studies to focus on how an organization continually improves the suitability, adequacy and effectiveness of its BCM system, with special attention to standards compliance.

This paper aims to find a suitable structure for a practitioner's handbook that addresses the structural elements of the business continuity (BC) practice.

The case study using the mixed method, quantitative with a questionnaire and conceptual research approach was what has been chosen. The four steps to the research process are outlined: one, choosing the topic, two, collecting relevant literature, three, identifying specific variables and four, generating a structure. The design brought on by years of experience, should be put into an organised system and handbook that can be reused, without having to reinvent the wheel.

A BC handbook should be as relevant to the executives and management as to their employees. By adopting a BC practice in a government department, state-owned entity, agency or municipality. Assurance will be ascertained for reliable, improved service delivery and reputation with much less interruption. Therefore a handbook with a “cradle to the grave” BC approach should outline, with examples of standards, awareness, policy, BC programme plan, BC structures, business impact and risk analysis, strategy, budgets, scorecards, monitoring and evaluation, recovery and BC plans, together with the audit and an International Standards Organization (ISO) 22301 certification process.

The research was limited to literature, questionnaires and identified variables pertaining to BC management (BCM) in the South African Government.

The implications of the case study is that out of the variables identified and the relevant literature and standards, a structure for a relevant post-COVID-19 government practitioner's handbook could be made available.

The use of a BCM handbook for government would assist in the continuation of services through manmade and natural disasters. The service to the citizen, including but not limited to water, electricity, sanitation, medical and health services, and the food supply chain are just a few areas that can be positively impacted upon by good BCM. By implication the reliance of government structure are treated most in time of disasters as experienced through the two year period of the COVID-19 pandemic.

The government departments in South Africa do not have or have not implemented BCM due to the lack of clear guidelines. The COVID-19 pandemic however had accelerated the requirement for a top down BCM approach. To ensure that the scope of BCM is not limited, the possibility of having a set handbook for the government practitioner will ensure that service quality remains intact. Such a handbook related to government BCM practice is long outstanding.

This study aimed to (1) identify supply chain risks faced by small and medium-sized enterprises (SMEs) in food businesses during the COVID-19 pandemic and (2) investigate the business continuity management (BCM) strategies employed by organisations during the COVID-19 pandemic.

Semi-structured interviews were conducted, involving eight SMEs in the Malaysian food industry. Their responses were analysed using a thematic analysis.

The thematic analysis indicated that supply risks, demand risks, operational risks, logistics risks and financial risks were amongst the challenges that the respondents faced during the COVID-19 pandemic. It also provided evidence which showed the importance of flexibility, redundancy and collaboration to avoid or reduce the impact of such risks.

This paper fills the void in the literature by exploring the BCM practices amongst SMEs in the food businesses of a developing country, during the COVID-19 disruptions. Previous studies in the area had mainly focused on large organisations.

The adverse interactions between disruptions can increase the supply chain's vulnerability. Accordingly, establishing supply chain resilience to deal with disruptions and employing business continuity planning to preserve risk management achievements is of considerable importance. The aforementioned idea is discussed in this study.

This study proposes a multi-objective optimization model for employing business continuity management and organizational resilience in a supply chain for responding to multiple interrelated disruptions. The improved augmented e-constraint and the scenario-based robust optimization methods are adopted for multi-objective programming and dealing with uncertainty, respectively. A case study of the automotive battery manufacturing industry is also considered to ensure real-world conformity of the model.

The results indicate that interactions between disruptions remarkably increase the supply chain's vulnerability. Choosing a higher fortification level for the supply chain and foreign suppliers reduces disruption impacts on resources and improves the supply chain's resilience and business continuity. Facilities dispersion, fortification of facilities, lateral transshipment, order deferral policy, dynamic capacity planning and direct transportation of products to markets are the most efficient resilience strategies in the under-study industry.

Applying resource allocation planning and portfolio selection to adopt preventive and reactive resilience strategies simultaneously to manage multiple interrelated disruptions in a real-world automotive battery manufacturing industry, maintaining the long-term achievements of supply chain resilience using business continuity management and dynamic capacity planning are the main contributions of the presented paper.

The purpose of our study is to investigate how a manufacturing plant’s internal operations along with its network of connections (upstream and downstream) can have an impact on its recovery time from a disruption. The authors also examine the inverse-U impact of complexity. Finally, the authors test the moderating role that business continuity management plans (BCP) at the plant level have on recovery time.

To test our hypotheses, the authors partnered with Resilinc Corporation, a Silicon Valley-based provider of supply chain risk management solutions to identify focal firms’ suppliers, customers and plant-level data including information on parts, manufacturing activities, bill of materials, alternate sites and formal business continuity plans. The authors employed censored data regression technique (Tobit).

Several important findings reveal that the plant’s internal operations and network connections impact recovery time. Specifically, the number of parts manufactured at the plant as well as the number of internal plant processes significantly increase disruption recovery time. In addition, the number of supply chains (upstream and downstream) involving the plant as well as the echelon distance of the plant from its original equipment manufacturer significantly increase recovery time. The authors also find that there exists an inverted-U relationship between complexity and recovery time. Finally, the authors find partial support that BCP will have a negative moderating effect between complexity and recovery time.

This research highlights gaps in the literature related to supply chain disruption and recovery. There is a need for more accurate methods to measure recovery time, more research on recovery at the supply chain site level and further analysis of the impact of supply chain complexity on recovery time.

The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.

Brands are relevant to multiple stakeholders and, as such, can have multiple meanings. Drawing on branding and stakeholder marketing theory, the purpose of this study was to provide in-depth insights into knowledge dynamics related to the so-called family business brand across different stakeholder perspectives.

This study combines advanced brand concept mapping (BCM) with a scenario technique to graphically capture consumers’ and jobseekers’ brand knowledge related to the family business concept in the form of association networks.

Findings show both a shared core meaning (e.g. associations such as “tradition” or “owner-managed”) and stakeholder-specific associations (e.g. consumer perspective: “high product quality,” “handmade”; jobseeker perspective: “appreciation within the company,” “outdated”). Significantly, the results reveal detailed insights into cross-stakeholder knowledge dynamics regarding the associations’ interconnections, strength and favorability.

By combining BCM with a scenario technique, this study adopts an approach that is aimed at better understanding and comparing brand knowledge with respect to the family business brand across multiple stakeholder perspectives. Given the prevalence of family businesses, this research enhances the theoretical and practical understanding of a branding resource that is often available but rarely exploited.

Commercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies.

By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model.

Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis.

A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability.

The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.