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This study aims to investigate the extent to which the presence of chief supply chain officers (CSCOs) in top management teams (TMTs) helps firms to reduce the incidence of product recalls.

The authors identified all recalls for the period 2010–2017 issued by publicly held firms regulated by the US Consumer Product Safety Commission. These data were subsequently combined with information on TMT composition from BoardEx and financial performance data from Compustat to create a unique data set.

The study identified a significant and negative association between CSCO presence and incidence of product recalls. The evidence also supports the conjecture that this association is stronger in larger firms, indicating that CSCOs are especially effective when operating within more complex supply chains.

The findings provide important insights into quality management in contemporary supply chains and indicate that assigning specific responsibility for supply chain management to a TMT member improves product reliability.

These findings contribute to the growing literature on the underlying causes of a product recall by identifying corporate governance antecedents of external quality failures of this kind.

This study investigates whether the underrepresentation of women in executive-level roles within the supply chain management (SCM) field is justified or the result of gender injustices. The analysis examines if there is a gender compensation gap within executive-level SCM roles and whether performance differences or other observable factors explain disparities.

Publicly reported executive compensation and financial data are merged to empirically test if gender differences exist and investigate whether the underrepresentation of women in executive-level SCM roles is unjust.

Women occupy only 6.29% of the positions in the sample of 447 SCM executives. Unlike prior studies, we find that women executives receive higher compensation. The analysis does not identify observable factors explaining the limited inclusion of women in top-level roles, suggesting that gender injustices are prevalent in SCM.

This study only considers observable factors and cannot conclusively determine if discrimination is occurring. The low level of inclusion of women in executive roles suggests that gender injustice is intrinsic within the SCM profession. These findings will hopefully motivate firms to undertake transformative actions that result in outcomes that advance gender equity, ultimately leading to social justice for female SCM executives.

The use of social justice and feminist theories, a focus on SCM roles, and an empirical methodology utilizing objective measures represents a novel approach to investigating gender discrimination in SCM organizations, complementing prior survey-based studies.

The study objective was to understand what components of organizational culture and capability combined with analytic skillsets are needed to allow organizations to exploit real-time analytic technologies to create supply chain performance improvements.

The authors relied on information processing theory to support a hypothesized model, which is empirically tested using an ordinary least squares equation model, and survey data from a sample of 208 supply chain executives across multiple industries.

The authors found strong support for the concept that real-time analytics will require specialized analytical skills for the managers who use them in their daily work, as well as an analytics-focused organizational culture that promotes data visibility and fact-based decision-making.

Based on the study model, the authors found that a cultural bias to embrace analytics and a strong background in statistical fluency can produce decision-makers who can make sense of a sea of data, and derive significant supply chain performance improvements.

The research was initiated through five workshops and presentations with supply chain executives leading real-time analytics initiatives within their organizations, which were then mapped onto survey items and tested. The authors complement our findings with direct observations from managers that lend unique insights into the field.

Companies and organizations use various innovation governance structures, processes and metrics to make decisions about allocation of resources to the development of an innovative idea. Although many metrics measuring the process of innovation and the performance of the enterprise have been developed, a fundamentally solid and complete metric speaking to the quality and viability of the innovative idea itself is lacking. The business, applied innovation, creativity, unmet user needs and problem-solving (BACUP) model of innovation quality is proposed as such a metric based on viewing innovation from the five different viewpoints mentioned in its definition. BACUP is shown to facilitate discussion and analysis in innovation theory and is proposed as a tool allowing any innovation governance structure to achieve innovation assurance by mitigating risk and uncertainty and maximizing an innovation’s chance for success.

The BACUP framework was inspired by researching definitions of innovation and coming upon a survey in which different definitions were obtained from several different roles in companies and organizations. To use BACUP as a metric, the author and research assistants made qualitative judgments about innovations. Several judgments were obtained independently and consensus was plotted on the BACUP graphs.

BACUP can be used to illustrate and discuss major concepts in innovation theory. BACUP can be used to compare the relative viability of different innovative ideas. BACUP can be used to detect vulnerabilities in innovative ideas and provide information to innovation management and governance so that corrective measures can be taken. BACUP can be extended by other researchers and practitioners.

In its current form, BACUP is not a quantitative tool; however, the authors envision other researchers applying existing quantitative tools and incorporating them into the BACUP framework.

BACUP is an innovative idea quality metric employable in any existing innovation management/governance structure or methodology. BACUP also gives practitioners a way to engineer innovative ideas into successful innovations.

BACUP can lead to predictable and repeatable improved innovation outcomes, resulting in superior solutions to problems in all domains.

The BACUP framework is a novel, multi-dimensional view of innovation. Application of BACUP as a metric yields a new type of capability for innovation governance called innovation assurance.

The purpose of this study is to investigate how managers' abilities to design and implement organizational change initiatives affects supply chain (SC) responsiveness. Extant research focuses on specific process and resource options to address responsiveness, with only limited reference to managers' capabilities in adapting to new organization designs that organize processes and resources. Consequently, organizational theory that characterizes the implications of developing and implementing various designs is ignored. The study directly leverages organization adaption, organization design and the dynamic managerial capabilities literature to address the question of how to improve SC responsiveness.

Qualitative data are used to identify specific dynamic managerial capability constructs, as well as the expected relationships depicted in our conceptual model. The authors test these relationships using quantitative survey data collected from 199 SC leaders.

The authors find that capabilities in organization design, functional leader negotiations and workforce communications foster SC responsiveness via improved structural adaptability (SA). The findings explain how and when organization design actions impact SA and responsiveness, and more importantly, why managers should invest in developing a workforce communication capability as the foundation for organizational adaptability.

By applying organization adaption, organization design and dynamic managerial capabilities concepts, the research expands the existing study of responsiveness in the SC organizational context.

International collaboration is a crucial requirement of entrepreneurship, particularly in developing emerging economies. This collaboration seems so necessary in the food industry as a major contributor to environmental, social and economic problems. This paper aims to identify, analyse the influential network relationship and prioritise the key success factors (KSFs) of international collaboration formation in the entrepreneurial food industry with a case study on Iran's emerging economy.

To identify a list of KSFs, a qualitative method, literature review, is initially used. A quantitative method, fuzzy-Delphi, then is employed to finalise the main KSFs based on the entrepreneurial food industry experts' opinion. To analyse the causal relationship, and prioritise the KSFs, a fuzzy decision-making trial and evaluation laboratory (DEMATEL)-analytic network process (ANP) methodology, i.e. FDANP, is applied. At the first stage, the cause–effect diagram of KSFs is extracted using fuzzy DEMATEL and then, the KSFs weights and priorities are evaluated using a fuzzy ANP.

The results illustrate that the characteristics of effective development workers are the leading dimension of a successful international collaboration that directly affects other dimensions. On the other hand, increased marketing and trading is the most important KSF that is directly related to international entrepreneurial collaboration team capabilities and professionalism. The leading and casual role of team members also plays a vital role in strategic and communication issues affecting the collaboration success, e.g. market research and new product development. Availability of financial resources and the ability of partners in continuous financing is also a crucial and required factor for a successful collaboration.

Using an extensive review of the literature to extract the KSFs of international entrepreneurial collaboration and finalising them using a fuzzy-Delphi method and examining the cause-effect relations between them, as well as prioritising the KSFs are the main contributions of this paper.

Despite the wide research and discussion on international performance, innovation and digital resilience dimensions of enterprises, the investigation and understanding of their interrelations seem to be limited. The purpose of this study is to identify the influential factors affecting the mentioned dimensions, determine the causal relationships among these identified factors and finally evaluate their importance in an aggregated framework from the viewpoint of small and medium-sized enterprises (SMEs).

A hybrid methodology is used to achieve the objectives. First, the main factors of international performance, innovation and digital resilience are extracted by an in-depth review of the literature. These factors are then screened by expert opinions to localize them in accordance with the conditions of an emerging economy. Finally, the relationship and the importance of the factors are determined using an uncertain multi-criteria decision-making (MCDM) approach.

The findings reveal that there is a correlation between digital resilience and innovation, and both factors have an impact on the international performance of SMEs. The cause-or-effect nature of the factors belonging to each dimension is also determined. Among the effect factors, business model innovation (BMI), agility, product and organizational innovation are known as the most important factors. International knowledge, personal drivers and digital transformation are also determined to be the most important cause factors.

This study extends the literature both in methodological and practical directions. Practically, the study aggregates the factors in the mentioned dimensions and provides insights into their cause-and-effect interrelations. Methodologically, the study proposes an uncertain MCDM approach that has been rarely used in previous studies in this field.

This paper aims to fill a void in existing research by focusing on in-company efforts to develop supply chain (SC) talent, with a specific focus on the role that executives can play in this process. This study uses the resource-based view (RBV) of the firm and theory of training motivation as theoretical background for the exploration. In addition to that, this paper provides meaningful information for executives aspiring to contribute to the development of supply chain management (SCM) talent including the primary drivers, benefits, barriers and bridges (Fawcett et al., 2008). Using this framework will lead to the development of a conceptual model to facilitate future research efforts.

This paper studies three case companies where there was an active executive engagement in the recruiting, on-boarding and ongoing development of SC talent.

In all three case companies’ executive engagement was high and the executives acted as champions of the SC talent development program including designing and stewardship of the program. They also got personally involved in recruiting, training and mentoring. In alignment with the RBV of the firm, all three case companies were strongly driven by a need to improve the competitive advantage of their firm through the SC competencies and capabilities. This strategic directive is driven by the executive suite and typically involved a combination of goals including improving functional capability development, internal stakeholder relationships and growth in business value contributions. This leads to the need for attracting new talent, due to talent shortages and developing more future-proof capabilities of the SC talent. Talent that is future-proof can effectively handle the current scope of work and successfully implement changes that the SCM strategy aspires to. Hence, the executive ownership is very much driven by a strategic imperative to improve the knowledge, skills and abilities and critical realization of the importance of talent recruitment and development. This study also finds that there are very specific SCM drivers, benefits, barriers and bridges in play making it important for SCM executives and teams to engage and not rely on generic human resource (HR) processes and frameworks only.

We found that in the three case companies’ executive engagement in talent development had a positive impact. We also identified specific roles of the executives such as, the benefit of engagement across multiple hierarchical layers of the organization and, the risk of programs being shorter lived when focused on a narrower talent issue. Our research focus contributes to the existing supply chain literature involving talent management. It also suggests actions for supply chain executives, for the educational provision of universities and multiple research opportunities.

There is no evidence of prior research in fields of HR management, talent development or SCM related to the impact of executive engagement in this process. This paper studies three case companies where there was an active executive engagement in the recruiting, on-boarding and ongoing development of SC talent. Findings show the critical impact of personal and extended engagement of senior-level executives and their leadership teams, in SC talent development. This paper offers specific techniques and approaches, generates suggestions for further research, managerial action and university implications.

Reshoring is one of the supply chain risk management techniques suggested in literature. However, literature suggests that the decision-making involved in reshoring is complex and not fully understood. In the context of the COVID-19 pandemic, reshoring may represent a way to reduce reliance on global sources and improve resilience of their supply chains. This paper aims to explore if the pandemic is driving reshoring decisions and if the pandemic will actually lead to companies reshoring parts of their supply chain.

This paper critically engages with senior(-most) supply chain managers from three manufacturing companies as they proceed through reshoring decision-making. This enables to develop experiential knowledge about reshoring decision-making processes and their context, as well as insights into the relevance of existing knowledge about reshoring. While not a full multiple case study, the opportunity to engage directly with senior(-most) supply chain managers as they consider reshoring, enables near real-time learning. Not only is reshoring a very timely topic literature has also called for more event-based empirical research. Further to that, it is hoped that this can complement this special issue and support, in a timely manner, the many researchers that are actively studying the impact of the pandemic on supply chains.

Reshoring was being actively considered by all three companies during the research process in Q3 and Q4 of 2020. During this period the pandemic has not yet led to substantial implementation of reshoring, at least by the companies studied in this paper. In response to tariffs on Chinese imports, companies had been diversifying their supply base away from China, but doing so by developing alternative, global sources. Additionally, companies are using alternative risk management techniques, such as supplier collaboration, in the short to medium term. Reshoring decision-making is indeed found to be complex and requires a longer-term time horizon for decision-making and implementation. Logistical challenges and growth in demand do drive a willingness of consumers to pay a premium for locally sourced products. However, when supply normalizes these considerations might lose relevance well before reshoring decision-making and implementation can be completed.

This paper studies reshoring in a real-world setting, learning directly from insights from industry as they emerge. This paper develops four extensions to existing knowledge, develop these in frameworks and hope that this will support ongoing consideration in industry and support the many researchers that are active in this domain today. This paper also suggests several directions for further research.

According to IBM research, companies seeking opportunities in an era of constant customer connectivity focus on two complementary activities: reshaping customer value propositions and transforming their operations using digital technologies for greater customer interaction and collaboration. This paper aims to address this issue.

The paper explains that businesses aiming to generate new customer value propositions or transform their operating models need to develop a new portfolio of capabilities for flexibility and responsiveness to fast‐changing customer requirements.

The paper finds that engaging with customers at every point where value is created is what differentiates a customer‐centered business from one that simply targets customers well. Customer interaction in these areas often leads to open collaboration that accelerates innovation using online communities.

Companies focused on fully reshaping the operating model optimize all elements of the value chain around points of customer engagement.

The article explains how companies with a cohesive plan for integrating the digital and physical components of operations can successfully transform their business models.