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The purpose of this paper is to examine challenges faced by senior construction managers in managing cross‐cultural complexity and uncertainty. The rationale was to identify the key strategies that are considered essential for managing cross‐cultural complexity and uncertainty.

Interviews with 20 senior construction managers, ten in Kenya and ten in the UK, were recorded, transcribed and entered into the qualitative research software NVivo. Validity and reliability were achieved by first assessing the plausibility in terms of already existing knowledge on some of the cultural issues raised by participants. The findings were presented to the participants through workshops and group discussions.

The emerging key issues suggested that project leaders need to learn how to control their own characteristics and to use them selectively. An effective multicultural construction project team should focus on team output and attributes that characterise a multicultural team as a social entity.

Findings indicate that the role of construction project managers has significantly changed over the past two decades. In order to deal with cross‐cultural uncertainty, project leaders must have superior multicultural and interpersonal skills when managing global multicultural heavy engineering projects.

The research shows that leaders of global construction project teams need a good understanding of their culture, environment and the value of their individual contributions.

The purpose of this paper is to explore how uncertainty as a concept is being faced in many areas of work (including libraries). The use of scenario planning in managing this uncertainty is to be examined.

Reasons for the prominence of uncertainty are identified from the broad management literature. The impact uncertainty has on the organisation, and the individual and strategic direction is also discussed using the literature. This provides the context to establish how uncertainty, has historically been faced, by libraries. The same approach is applied when the application of scenario planning in managing uncertainty is established. Scenario planning is investigated at the wider level and then the focus moves to its relevance for libraries.

Uncertainty is a strategic concern for many organisations (both proffer and not for profit), which poses specific challenges for managers. It is caused by technological developments and changes in markets with other contributions from environmental, fiscal and political factors. Scenario planning is a proactive way to manage the impact of uncertainty. By using scenarios it is possible to identify key factors that will have serious implications in the future. Taking actions and informed decisions based upon the scenarios, future risks can be avoided and possible opportunities anticipated. Effective scenarios can be produced by going through an agreed group process.

The paper provides an examination of different aspects of uncertainty, its management through scenario planning and the relevance for libraries.

In the light of challenges experienced in cost estimation at the bidding stage of complex engineering services in the defence industry (e.g. contracting for availability), the purpose of this paper is to present a framework to manage the influence of uncertainty on cost estimates.

The research applied the Soft Systems Methodology and benefitted from interaction with four major organisations in the defence industry through document sharing, semi-structured interviews, workshops, and case studies.

The framework is composed of seven stages to plan, identify, prioritise, classify, and manage cost uncertainties. Through the validation of three case studies some of the key benefits of the framework were realised in project planning, uncertainty visualisation, and capability management.

The research has been applied in the defence sector in the UK and focuses on the bidding stage. Further research needs to be applied to confirm that the findings are applicable across industries and across the life cycle.

The paper builds on the theory behind risk and uncertainty management and proposes an innovative framework that avoids the assumption of “perfect” knowledge by raising questions about the validity of the input data.

This paper examines how firms of different sizes formulate and implement strategies to achieve fit with an external environment disrupted by a geopolitical event. The context of the study is the pharmaceutical industry and how it managed the supply chain uncertainty created by the United Kingdom's decision to leave the European Union, or Brexit.

Data were collected longitudinally from the pro-Brexit vote on 23 June 2016, until the UK’s departure from the EU on 31 January 2020. Twenty-seven interviews were conducted in the pharmaceutical sector, including nineteen interviews with senior managers at eight case companies and eight interviews with experts working for trade associations and standards institutes. The interview findings were triangulated with Brexit policy and strategy documentation.

When formulating strategy, multi-national enterprises (MNEs) used worst case assumptions, while large firms, and small and medium sized enterprises (SMEs) gathered knowledge as part of a “wait-and-see” strategy, allowing them to reduce perceptions of heightened supply chain uncertainty. Firms then implemented reactive and/or proactive strategies to mitigate supply chain risks.

The study elaborates on strategic contingency theory by identifying two important conditions for achieving strategic fit: first, companies deploy intangible resources, such as management time, to gather information and reduce perceptions of heightened supply chain uncertainty. Second, companies deploy tangible resources (supply chain redundancies, new supply chain assets) to lessen the negative outcomes of supply chain risks. Managers are provided with an empirical framework for mitigating supply chain uncertainty and risk originating from geopolitical disruptions.

Uncertainty management (UM) in projects has been a point of attention for researchers for many years. Research on UM has mainly been aimed at uncertainty analyses in the front-end and managing uncertainty in the construction phase. In contrast, UM components in the design phase have received less attention. This research aims to improve knowledge about the key components of UM in the design phase of large road projects.

This study adopted a literature review and case study. The literature review was used to identify relevant criteria for UM. These criteria helped to design the interview guide. Multiple case study research was conducted, and data were collected through document study and interviews with project stakeholders in two road projects. Each case's owners, contractors and consultants were interviewed individually.

The data analysis obtained helpful information on the involved parties, process and exploit tools and techniques during the design phase. Johansen's (2015) framework [(a) human and organisation, (b) process and (c) tools and techniques)] was completed and developed by identifying relevant criteria (such as risk averse or risk-taker, culture and documentation level) for each component. These criteria help to measure UM performance. The authors found that owners and contractors are major formal UM actors, not consultants. Empirical data showed the effectiveness of Web-based tools in UM.

The studied cases were Norwegian, and this study focussed on uncertainties in the project's design phase. Relevant criteria did not cover all the criteria for evaluating the performance of UM. Qualitative evaluation of criteria allows further quantitative analysis in the future.

This paper gave project owners and managers a better understanding of relevant criteria for measuring UM in the owners and managers' projects. The paper provides policy-makers with a deeper understanding of creating rigorous project criteria for UM during the design phase. This paper also provides a guideline for UM in road projects.

This research gives a holistic evaluation of UM by noticing relevant criteria and criteria's interconnection in the design phase.

Points out that since consumers are seldom familiar with all the competing brands or the attributes of these brands, brand uncertainty exists in every market. Presents theoretical and empirical evidence from several disciplines to demonstrate that brand uncertainty affects brand attitudes and preferences, and consequently affects brand performance. Demonstrates the importance of actively managing brand uncertainty. Identifies and discusses marketing tools that can be used to reduce brand uncertainty at different stages in the consumer decision process. Discusses how managers can modify these tools to deal with high‐involvement versus low‐involvement products, how these tools should be scheduled for maximum impact, and the amount of control managers have over each tool.

Operationalizing R-imperatives in firms is seen as vital to bolstering circularity through reduce, reuse and recycle and building circular supply chains (CSCs). However, this process introduces various uncertainties to firms within CSCs. This is a gap that still requires an in-depth analysis, particularly to answer the question of how firms align the operationalization of R-imperatives with uncertainty management to improve sustainability performance and accelerate the transition toward CSCs.

This paper fills this gap through a multiple-case study, whereby nine firms from varying structures, regions and manufacturing industries were examined. Qualitative content analysis was employed to examine the collected primary (27 semi-structured interviews) and secondary data (internal management reports, publicly available corporate reports and website content).

The findings support the evidence that the operationalization of R-imperatives is not a straightforward process. Within-firm and SC uncertainties largely emerged and made the building of CSCs complex. Consequently, strategies aimed at reducing uncertainty were paramount to managing uncertainties and enhancing sustainability performance. For instance, implementing durable or modular designs helped firms easily reuse, repair and recycle products. In turn, firms achieved material efficiency and contributed to extending the life cycle of products.

This paper explains how firms can align R-imperatives operationalization with uncertainty management to improve sustainability performance and enhance CSCs. Accordingly, firms should complement R-imperatives operationalization with proactive uncertainty management and an assessment of all environmental, economic and social sustainability dimensions.

This paper fills a critical gap in circular supply chain management literature by unveiling its linkage with uncertainty management and sustainability performance. Empirical insights from nine firms within CSCs are provided to guide scholars and managers interested in implementing R-imperatives.

The purpose of this paper is to empirically investigate effective management strategies for 14 sources of supply chain uncertainty, with a particular emphasis on uncertainties or strategies that involve ethical issues.

Manufacturing strategy theory, underpinned by alignment and contingency theory, is used as the theoretical foundation. Multi-case study data are collected from 12 companies in the Indonesian food industry, including four focal manufacturers, four first-tier suppliers, and four first-tier customers (retailers).

Within the context of appropriately aligned management strategies to address 14 sources of uncertainty, three ethical issues are empirically identified: first, collusion amongst suppliers to ration supplies and increase prices; second, unethical influences on government policy; and third, “abuse” of power by large retailers at the expense of smaller competitors. Joint purchasing is argued to be a key strategy for combatting the first of these ethical issues.

The study is limited to the Indonesian food industry, and so further research is needed in other cultures/contexts.

Management strategies that aim to reduce an uncertainty at its source lead to better overall supply chain performance than strategies that merely cope with uncertainty, which only have an impact on firm-level performance.

The ethical issues identified have implications for fair negotiations between customers and suppliers.

This study is unique in its in-depth case study-based empirical investigation of the management of multiple supply chain uncertainties; and in its discussion of ethical issues in this context.

The purpose of this paper is to argue the case that libraries should use the lean startup method for developing, managing and launching radically innovative services or products.

Libraries need to innovate but do not have the management structure to handle the extreme uncertainty in implementing radical innovations. This paper examines the lean startup method for managing innovation, explores how it differs from traditional management tools, outlines the reasons for and barriers to innovation in libraries and highlights the new tools required to manage innovation. This paper also discusses the culture of innovation in libraries and how libraries innovate. The lean startup method is examined through the lens of a variety of innovation models.

The lean startup method for managing radical innovations is shown to be a sound alternative to traditional library management methods.

This paper is one of the few to examine a practical method for librarians to manage radical innovations in academic libraries.

The aim of this paper is to investigate how enterprise resource planning (ERP) systems could create a competitive advantage for small and medium‐sized enterprises (SMEs). The objectives of this study are to examine how responsive and agile the existing ERP systems are to change and uncertainty, and to identify the types of change and uncertainty in SME manufacturing environments.

A mixed methodology is used in this study, which involves literature review, questionnaire survey and follow‐up, in‐depth telephone interviews. An uncertainty diagnosing business model is applied to collect data from SME manufacturers in make‐to‐stock (MTS), make‐to‐order (MTO) and mixed mode (MM) manufacturing environments in a structured manner, and to analyse the effects of the underlying causes of uncertainty on product late delivery in MTS, MTO and MM manufacturing environments in SMEs. Some 108 enterprises responded (86 per cent response rate), of which 64 are SMEs. Analysis of variance (ANOVA) is carried out in SPSS to analyse the effects of the underlying causes of uncertainty on product late delivery in MTS, MTO and MM manufacturing environments in SMEs.

ANOVA results show that a different group of underlying causes of uncertainty significantly affects the product late delivery performance in MTS, MTO and MM manufacturing environments in SMEs. This study found that ERP could improve responsiveness and agility to change, but not to uncertainty. SMEs could create a competitive advantage by being more responsive to change in the ERP system before generating purchase and work order. ERP systems could not deal with uncertainty due to its stochastic and unpredictable nature. SMEs use a range of buffering or dampening techniques under uncertainty to be competitive in delivery.

It can be concluded that the application of the business model in SMEs that use ERP has provided useful knowledge about the significant underlying causes of uncertainty that affect product late delivery performance in MTS, MTO and MM manufacturing environments. Using this knowledge, similar SMEs could then prioritise the effort and devise suitable buffering or dampening techniques to manage the causes of uncertainty and hence prevent any changes to the ERP system.