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The paper aims to investigate the imprinting effect on working capital (WC) management as higher-level managers' transition to chief executive officer (CEO) positions. This paper proposes that WC management defined as a shorter cash conversion cycle (CCC) can be carried forward to the new firm when the managers are appointed as a CEO.

The authors employ a multivariate regression approach. The data in this study come from two sources: Execucomp which provides data for corporate managers of the largest 2,000 USA firms including S&P 1,500 US and Compustat which provides financial information of firms.

The authors find a positive imprinting effect of “new” CEOs on WC outcomes – proxied by the CCC. CCC shortens by approximately 16 days when CEOs are efficient managers at previous institutions, predominantly derived from improvements in inventory and payables. The effect is sensitive to individuals' age, familiarity with the industry and high-pressure circumstances.

The paper includes important implications of WC management for firms to consider, especially during economic crises when liquidity management is a priority.

This paper extends the literature on the imprinting effect on managerial decision-making. The paper offers evidence of cooperative yet dynamic efforts in managing WC during CEO turnover events, which are unique findings.

The College of St. Germain is a private, liberal arts college in the U.S. Midwest. Several faculty members developed and launched an academic business and economics conference. Despite of a lack of funding from the college, and a general apathy among other colleagues, the conference became financially self-sufficient and grew each year, with increasing attendance and submissions from many international scholars. Part A of the case focuses on the beginning, planning, and growth stages of the conference, and culminates with the successful conclusion of the third annual conference and planning for the fourth conference. Part B focuses on the fourth and fifth conferences, and concludes with the surprising cancellation of the sixth annual conference. The case highlights the challenges and accomplishments of the conference chairpersons and the organizing committee, as well as management, marketing, and leadership factors that contributed to the ultimate demise of the conference.

This case has two primary purposes. First, it allows students to examine how cognitive bias can affect decision making in stressful situations. Students explore why individuals make flawed choices. They learn about how managers shape the context and the process through which teams make decisions. For instance, automation can create a climate in which people then struggle to cope with the unexpected when it happens. Students examine why individuals make these systematic errors in judgment. The case demonstrates that leaders need to be aware of the traps that individuals and teams encounter when they make decisions in crisis situations, and it enables students to discuss the strategies that leaders can employ to avoid these traps. Second, the case provides an opportunity to examine a catastrophic failure in detail. Students discover that it can be nearly impossible to identify a single factor that caused the failure. Instead, they learn how to apply multiple theoretical perspectives to examine a serious organizational breakdown. They become familiar with important concepts from behavioral decision theory, such as complex systems theory and how it interacts with cognitive bias.

The technical report released by the French Aviation Authority along with the primary flight cockpit voice recorder data were used as the basis for this case. Other available public data such as news reports were used to round out the case study.

On June 9, 2009, on a routine flight from Rio de Janeiro to Paris, Air France 447 (AF 447), carrying 220 people crashed in the mid-Atlantic Ocean. Drawing from various first-hand accounts (cockpit voice recorder) and secondary evidence of the tragedy, the case provides a detailed account of the key events that took place leading up to the accident. The case describes how the pilots on AF447 were confronted with a scenario they had not faced before, and through the confusion made a series of errors. Through many of the quotes in the text, readers gain an understanding of the impressions and perceptions of the pilots, including how they felt about many of the critical decisions and incidents during the last minutes of the flight. The case concludes by highlighting the main findings of the BEA report.

This case study is appropriate for undergraduate students studying organizational behavior. It is also appropriate for MBA-level leadership and behavior classes.

Resilience in agri-food supply chains (AFSCs) is an area of significant importance due to growing supply chain volatility. While the majority of research exploring supply chain resilience has originated from a supply chain management perspective, many other disciplines (such as environmental systems science and the social sciences) have also explored the topic. As complex social, economic and environmental constructs, the priority of resilience in AFSCs goes far beyond the company specific focus of supply chain management works and would conceivably benefit from including more diverse academic disciplines. However, this is hindered by inconsistencies in terminology and the conceptual components of resilience across different disciplines. The purpose of this study is to use a systematic literature review to identify which multidisciplinary aspects of resilience are applicable to AFSCs and to generate a novel AFSC resilience framework.

This paper uses a structured and multidisciplinary review of 137 articles in the resilience literature followed by critical analysis and synthesis of findings to generate new knowledge in the form of a novel AFSC resilience framework.

Findings indicate that the complexity of AFSCs and subsequent exposure to almost constant external interference means that disruptions cannot be seen as a one-off event; thus, resilience must concern the ability to not only maintain core function but also adapt to changing conditions.

A number of resilience elements can be used to enhance resilience, but their selection and implementation must be carefully matched to relevant phases of disruption and assessed on their broader supply chain impacts. In particular, the focus must be on overall impact on the ability of the supply chain as a whole to provide food security rather than to boost individual company performance.

The research novelty lies in the utilisation of wider understandings of resilience from various research fields to propose a rigorous and food-specific resilience framework with end consumer food security as its main focus.

Despite data being a hot topic, little is known about how data can be successfully used in interactions in business-to-business relationships, specifically in the boundary spanning contexts of firms working together to use data and create value. Hence, this study aims to investigate the boundary spanning context of data-driven customer value projects to understand the outcomes of such activities, including the types of value created, how resulting value is shared between the interacting firms, the types of capabilities required for firms to deliver value from data and in what contexts different outcomes are created and different capabilities required.

Three abductive case studies were undertaken with firms from different business-to-business domains. Data were coded in NVivo and interpreted using template analysis and cross-case comparison. Findings were sense checked with the case study companies and other practitioners for accuracy, relevance and resonance.

The findings expand our understanding of firm interactions when extracting value from data, and this study presents 15 outcomes of value created by the firms in the study. This study illustrates the complexity and intertwined nature of the process of value creation, which emphasises the need to understand distinct types of outcomes of value creation and how they benefit the firms involved. This study goes beyond this by categorising these outcomes as unilateral (one actor benefits), developmental (one actor benefits from the other) or bilateral (both actors benefit).

This research is exploratory in nature. This study provides a basis for further exploration of how firm interactions surrounding the implementation of data-driven customer value projects can benefit the firms involved and offers some transferable knowledge which is of particular relevance to practitioners.

This research contributes to the understanding of data-driven customer-focused projects and offers some practical management tools. The identification of outcomes helps define project goals and helps connect these goals to strategy. The organisation of outcomes into themes and contexts helps managers allocate appropriate human resources to oversee projects, mitigating the impacts of a current lack of talent in this area. Additionally, using the findings of this research, firms can develop specific capabilities to exploit the project outcomes and the opportunities such projects provide. The findings can also be used to enhance relationships between firms and their customers, providing customer value.

This work builds on research that explores the creation of value from data and how value is created in boundary spanning contexts. This study expands existing work by providing greater insight into the mechanics and outcomes of value creation and by providing specific examples of value created. This study also offers some recommendations of capability requirements for firms undertaking such work.

A comprehensive understanding of the determining factors and implications of the frameworks for appreciating the relationships between climate risks and cultural heritage remains deficient. To address the gap, the review analysed literature on the management of climate risk in cultural heritage. The review examines the strengths and weaknesses of climate risk management (CRM) frameworks and attendant implications for the conservation of cultural heritage.

The study adopted a two-phased systematic review procedure. In the first phase, the authors reviewed related publications published between 2017 and 2021 in Scopus and Google Scholar. Key reports published by organisations such as the United Nations Educational, Scientific and Cultural Organisation (UNESCO) and International Council on Monuments and Sites (ICOMOS) were identified and included in Phase Two to further understand approaches to CRM in cultural heritage.

Results established the changes in trend and interactions between factors influencing the adoption of CRM frameworks, including methods and tools for CRM. There is also increasing interest in adopting quantitative and qualitative methods using highly technical equipment and software to assess climate risks to cultural heritage assets. However, climate risk information is largely collected at the national and regional levels rather than at the cultural heritage asset.

The review establishes increasing implementation of CRM frameworks across national boundaries at place level using high-level technical skills and knowledge, which are rare amongst local organisations and professionals involved in cultural heritage management.

The review established the need for multi-sectoral, bottom-up and place-based approaches to improve the identification of climate risks and decision-making processes for climate change adaptation.

While customer experience (CE) is recognized as a critical determinant of business success, both academics and managers are yet to find a means to gain a comprehensive understanding of CE cost-effectively. The authors argue that the application of relevant AI technology could help address this challenge. Employing interactively prompted narrative storytelling, and the authors investigate the effectiveness of sentiment analysis (SA) on extracting valuable CE insights from primary qualitative data generated via chatbot interviews.

Drawing on a granular and semantically clear framework for studying CE feelings, an artificial intelligence (AI) augmented chatbot was designed. The chatbot interviewed a crowdsourced sample of consumers about their recalled service experience feelings. By combining free-text and closed-ended questions, the authors were able to compare extracted sentiment polarities against established measurement scales and empirically validate our novel approach.

The authors demonstrate that SA can effectively extract CE feelings from primary chatbot data. This findings also suggest that further enhancement in accuracy can be achieved via improvements in the interplay between the chatbot interviewer and SA extraction algorithms.

The proposed customer-centric approach can help service companies to study and better understand CE feelings in a cost-effective and scalable manner. The AI-augmented chatbots can also help companies to foster immersive and engaging relationships with customers. This study focuses on feelings, warranting further research on AI's value in studying other CE elements.

The unique inquisitive role of AI-infused chatbots in conducting interviews and analyzing data in realtime, offers considerable potential for studying CE and other subjective constructs.