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Organisations have over time adopted conservative, structured and controlled processes to manage and achieve goals set with their stakeholders. Contrary to that, an environment of disruption has emerged, that being a faster, less predictable and less certain environment than the previous fifty or more years. This environmental difference has emerged due to the interconnectivity of trade formed out of globalisation, technology, internet and social media. The historical organisational decision models and structures are perhaps too slow and conservative for a faster less certain new age. Whilst pandemic was considered but one disruption to consider for the new age, more guidance is required for those leading and managing organisations through the current specific Covid-19 pandemic, into the pending recovery and beyond.

Whilst wide-scale jobs may be lost in this new future, new opportunities for entrepreneurs, creativity and skills will likely emerge. This article will research how disruption, pandemic in particular, is changing leadership and management practices. Additionally, this article recognises that many of the organisational structures and processes of today were originally designed over thirty to forty years ago, so may no longer be appropriate. The design aspects or organisations, decision models and dealing with stakeholders will likely need to change in a pandemic, so this paper will recommend new and modified ways for organisations to operate. This research will offer a theoretical solution to assist management and leaders adjust their business and decision models in a pandemic. The past operating organisational models may lack the creativity and flexibility necessary for a world that has locked down, works from home or have closed without notice at once. Leading and managing is so different in a pandemic, especially when so much has changed so quickly, so this article will contribute by recommending new organisational principles to work to.

This paper aims to provide a discussion on the interface and interactions between data, analytical techniques and impactful research in humanitarian health supply chains. New techniques for data capturing, processing and analytics, such as big data, blockchain technology and artificial intelligence, are increasingly put forward as potential “game changers” in the humanitarian field. Yet while they have potential to improve data analytics in the future, larger data sets and quantification per se are no “silver bullet” for complex and wicked problems in humanitarian health settings. Humanitarian health supply chains provide health care and medical aid to the most vulnerable in development and disaster relief settings alike. Unlike commercial supply chains, they often lack resources and long-term collaborations to enable learning from the past and to improve further.

Based on a combination of the authors’ research experience, interactions with practitioners throughout projects and academic literature, the authors consider the interface between data and analytical techniques and highlight some of the challenges inherent to humanitarian health settings. The authors apply a systems approach to represent the multiple factors and interactions between data, analytical techniques and collaboration in impactful research.

Based on this representation, the authors discuss relevant debates and suggest directions for future research to increase the impact of data analytics and collaborations in fostering sustainable solutions.

This study distinguishes itself and contributes by bringing the interface and interactions between data, analytical techniques and impactful research together in a systems approach, emphasizing the interconnectedness.

Digital servitization concerns how manufacturers utilize digital technologies to enhance their provision of services. Although digital servitization requires that manufacturers possess new capabilities, in contrast to strategic (or dynamic) capabilities, little is known about how they develop the required operational capabilities. The paper investigates the mechanisms for developing operational capabilities in digital servitization.

This paper presents an exploratory study based on 15 large manufacturers operating in Europe engaged in digital servitization.

Three operational capability development mechanisms are set out that manufacturers use to facilitate digital servitization: learning (developing capabilities in-house), building (bringing the requisite capabilities into the manufacturer), and acquiring (utilizing the capabilities of other actors). These mechanisms emphasize exploitation and exploration efforts within manufacturers and in collaborations with upstream and downstream partners. The findings demonstrate the need to combine these mechanisms for digital servitization according to combinations that match each manufacturer’s traditional servitization phase: (1) initial phase - building and acquiring, (2) middle phase - learning, building and acquiring, and (3) advanced phase - learning and building.

This study reveals three operational capability development mechanisms, highlighting the parallel use of these mechanisms for digital servitization. It provides a holistic understanding of operational capability development mechanisms used by manufacturers by combining three theoretical perspectives (organizational learning, absorptive capacity, and network perspectives). The paper demonstrates that digital servitization requires the significant application of building and acquiring mechanisms to develop the requisite operational capabilities.

The purpose of this paper is to show that third-party quality audits (TPQAs) facilitate performance improvement and give confidence to organisations concerning the process quality of services and products. However, because of inconsistencies and unethical practices often observed in the industry, organisations question the significance of TPQA. A perception exists that its initial purpose as an impartial tool ensuring quality of deliverables is no longer upheld. Hence, the need to determine and explain the influence of the ISO 19011 standard interpretation on the application of the audit guidelines in performing TPQA, to promote consistency in the audit process.

The study employed document analysis of the ISO 19011 standard, followed by semi-structured interviews with certification managers (CBs) to gain insight related to their interpretation and application of the ISO 19011 guidelines.

The CBs interpret the ISO 19011 guidelines differently; hence, their application of the standard to compile their audit documents differ. Adherence to the principles of auditing particularly, integrity and independence were found as the core of the audit process while their disregard reflects failure of the real intent of auditing. The inconsistencies in the audit procedures and documents developed for auditors are ascribed to some CBs’ personal interpretations.

The study explores how the different interpretations of the ISO 19011 standard prevail and are perceived by the CBs and auditors. The findings aim to support standardisation and reduce the variations across and amongst the different CBs and auditors.

The purpose of the current study is to illustrate the importance of strategic agility (SA), the capacity to respond agilely to a rapidly changing environment, for digitally transforming firms during the COVID-19 crisis. A secondary purpose of the study is to conceptually frame SA as a function of the creative to realized intangible capital (IC) ratio.

To inferentially corroborate the hypothesis, this study exploits the results of a recent firm-level survey, conducted under the H2020 project GlobalInto (2021). Via OLS and ordered logistic regressions, the relationship among SA, economic performance and IC was tested.

The exploratory findings implied that the more strategically agile companies were those that responded more effectively to the pandemic crisis, but only if they were ahead in terms of digital transformation. Moreover, the results implied that firms that were able to efficiently convert their creative IC into realized IC were the most strategically agile.

This study developed a new conceptual framework for digitally transforming firms that included the role of SA and the IC conversion ratio in the context of extreme threats to the survival of firms. Some preliminary practical recommendations were offered to management about how to measure the IC conversion ratio as well as how to stimulate and reward greater creativity among employees, filling a notable gap in the SA literature that provides less than precise guidance about how this concept can be measured.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

The objective of this study is to examine current business and management research on “Industry 4.0 base technologies” and “business models” to shed light on this vast literature and to point out future research agenda.

The authors conducted a bibliometric analysis of scientific publications based on 482 documents collected from the Scopus database and a co-citation analysis to provide an overview of business model studies related to Industry 4.0 base technologies. After that a qualitative analysis of the articles was also conducted to identify research trends and trajectories.

The results reveal the existence of five research themes: smart products (cluster 1); business model innovation (cluster 2); technological platforms (cluster 3); value creation and appropriation (cluster 4); and digital business models (cluster 5). A qualitative analysis of the articles was also conducted to identify research trends and trajectories.

First, the dataset was collected through Scopus. The authors are aware that other databases, such as Web of Science, can be used to deepen the focus of quantitative bibliometric analysis. Second, the authors based this analysis on the Industry 4.0 base technologies identified by Frank et al. (2019). The authors recognize that Industry 4.0 comprises other technologies beyond IoT, cloud computing, big data and analytics.

Drawing on these analyses, the authors submit a useful baseline for developing Industry 4.0 base technologies and considering their implications for business models.

In this paper, the authors focus their attention on the relationship between technologies underlying the fourth industrial revolution, identified by Frank et al. (2019), and the business model, with a particular focus on the developments that have occurred over the last decade and the authors performed a bibliometric analysis to consider all the burgeoning literature on the topic.

Mixed methods research is useful to enhance theoretical and practical research contributions. However, single methods have predominated much logistics and supply chain management (LSCM) research. This paper presents a review of mixed methods research across ten years in LSCM to determine their usage, identify benefits and inhibitors, and provide suggestions for LSCM researchers to realise the benefits from using mixed methods.

This paper adopts a mixed methods approach through a quantitative analysis of methods used in six leading LSCM journals, an e-mail survey of mixed methods article authors during the review period, and four published case studies that used mixed methods.

Only 144 (ten percent) of all empirical articles were published using mixed methods during the review period. A range of benefits and inhibitors regarding mixed methods adoption were found. Suggestions for LSCM authors include research training in mixed methods use and developing a project-specific research design due to the specificity and complexity associated with mixed methods research.

LSCM is at a critical juncture, shaped by new contexts, themes and challenges, and would benefit from different research approaches and methods. This paper contributes to the LSCM domain through analysing the current state, benefits and inhibitors of mixed methods research in LSCM journals to provide a renewed call to action and guidelines for mixed methods LSCM research, and suggesting research design adaptation to enable agile and resilient research when investigating rapidly changing and complex phenomena.

Elite interviewing is a well-established area of interview research methods. Nevertheless, the actual casting of an “elite” has been generally conducted in a prima facie or broad manner. A consideration of entrepreneurs and owner-managers as “elites” has been less profiled and received less attention, therefore the paper views the entrepreneurs and owner-managers as constituting a form of “local elite” within given and varying sectorial, regional and community boundaries. The authors argue that a consideration of entrepreneurs as “local elites” and transferring knowledge from an elite interviewing perspective may strongly support scholarly research in the entrepreneurship field.

The study conducts a comprehensive narrative literature review of elite interviewing literature and transfers key methodological insights to the entrepreneurship field. The methodological contribution based on literature is complemented by experiences and observations from an extensive inductive interview study with over 30 entrepreneurs of German manufacturing Small and Medium-sized Entities (SMEs) and are used to reflect on, and refine, interview research approaches with entrepreneurs.

The reflections and discussions in this paper provide valuable insights for other researchers conducting research in entrepreneurship domains regarding the power dynamics of negotiating access, procedural issues of interviews and thereby enhancing the quality of data.

The contribution to knowledge is mainly of a methodological nature. While the paper takes a novel act of recasting elite interviewing in the SME and entrepreneurship context, the paper methodologically contributes to the entrepreneurship and elite interview literature thereby facilitating higher quality interviews.