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This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

The purpose of this research is to systematically review the properties of supply chains demonstrating that they are complex systems, and that the management of supply chains is best achieved by steering rather than controlling these systems toward desired outcomes.

The research study was designed as both exploratory and explanatory. Data were collected from secondary sources using a comprehensive literature review process. In parallel with data collection, data were analyzed and synthesized.

The main finding is the introduction of an inductive framework for steering supply chains from a complex systems perspective by explaining why supply chains have properties of complex systems and how to deal with their complexity while steering them toward desired outcomes. Complexity properties are summarized in four inter-dependent categories: Structural, Dynamic, Behavioral and Decision making, which together enable the assessment of supply chains as complex systems. Furthermore, five mechanisms emerged for dealing with the complexity of supply chains: classification, modeling, measurement, relational analysis and handling.

Recognizing that supply chains are complex systems allows for a better grasp of the effect of positive feedback on change and transformation, and also interactions leading to dynamic equilibria, nonlinearity and the role of inter-organizational learning, as well as emerging capabilities, and existing trade-offs and paradoxical tensions in decision-making. It recognizes changing dynamics and the co-evolution of supply chain phenomena in different scales and contexts.

Transformative learning (TL) and leadership are key leverage points for supporting society’s transition toward sustainability. The purpose of this study is to identify essential components of TL within an international sustainability leadership master’s program in Sweden that has been described by many students as life-changing, empowering and transformational.

Alumni spanning 15 cohorts provided answers to a survey and the responses were used to map components of TL as experienced by the students.

The survey confirms the anecdotal assertions that the program is transformational. The findings suggest that community, place, pedagogy, concepts and content, disorientation and hope and agency are essential components, combined with the synergy of those into an integrated whole that support transformational change according to many respondents.

This study provides program designers and educators with suggested components and emphasizes their integration and synergy, to support TL experiences for sustainability leaders.

Transformative learning and leadership are key leverage points for supporting society’s transition towards sustainability. The purpose of this study was to identify the outcomes of transformational learning within an international sustainability leadership master’s program in Sweden. The study also prototypes a typology for transformative learning (TTL) in the context of sustainability leadership education.

Alumni spanning 15 cohorts provided answers to a survey, and the responses were used to identify the outcomes of the program. Graduates were asked to describe what transformed for them through the program. Empirical data was coded prototyping the use of the TTL in sustainability education context.

Graduates of the Master’s in Strategic Leadership towards Sustainability program, described transformation with regards to their Self-in-relation to Others and the World, their Self-knowledge, sense of Empowerment/Responsibility; their Worldview became More Comprehensive or Complex, and they gained New Awareness/New Understandings which transformed their Worldview. Many described transformations in their general Ways of Being in the world. Findings suggest the TTL learning as a good basis for analysis in the education for sustainable development (ESD) context. Suggestions for the TTL include further development of the process that articulates the relational, interdependent and perhaps a priori relationships between elements that transform.

This study presents the outcomes of transformational learning within an international sustainability leadership master’s program. It prototypes the use of a TTL within the ESD context using empirical data. This combination provides practical insights to a dynamic, often theoretical and hard to articulate process.

This study presents the outcomes of transformational learning within an international sustainability leadership master’s program. It prototypes the use of a TTL in the ESD context and assesses the outcomes of a sustainability leadership program using empirical data. This combination provides practical insights to a dynamic, often theoretical and hard to articulate process.

This article aims to evaluate the entry and exit of companies from local productive structures, with a specific focus on the sectoral complexity of these activities and the complexity of these portfolios. The study focuses on empirically demonstrating the thesis that related economic diversification exacerbates the development gap between more and less complex regions.

The article uses indicators formulated by the economic complexity approach. They allow a relevant descriptive analysis of the economic diversification process in Brazilian micro-regions and provide the foundation for the econometric tests conducted. Through three distinct estimation strategies (OLS, logit, probit), the influence of complexity and relatedness on the entry and exit events of firms from local portfolios is tested.

In all estimated models, the stronger relationship between an activity and a portfolio significantly increases its probability of entering the productive structure and, at the same time, acts as a significant factor in preventing its exit. Furthermore, the results reveal that the complexity of a sector reduces the probability of its specialization in less complex regions while increasing it in more complex regions. On the other hand, sectoral complexity significantly increases the probability of a sector leaving less complex local structures but has no significant effect in highly complex regions.

Due to the data used, the indicators are calculated considering only formal job numbers. Additionally, the tests do not detect the influence of spatial issues. These limitations should be addressed by future research.

The article characterizes a prevailing process of uneven development among Brazilian regions and brings relevant implications, primarily for policymakers. Specifically, for less complex regions, policies should focus on creating opportunities to improve their diversification capabilities in complex sectors that are not too distant from their portfolios.

The article makes an original contribution by proposing an evaluation of regional diversification in Brazil with a focus on complexity, introducing a more detailed differentiation of regions based on their complexity levels and examining the impact of sectoral complexity on diversification patterns within each group.

The purpose of this paper is to describe a case study from the master program management in nonprofit organizations at the University of Applied Sciences in Osnabrück, Germany and show how this case of innovative teaching helps to educate responsible managers for the world of tomorrow.

The authors developed a model of a think tank to create a surrounding for students to learn about models and theories such as systems thinking and social innovations and work with practical instruments like the business canvas and design thinking. The objective was for the students to work on solutions for societal challenges.

The main findings were twofold: First, it is clear that the objective of the case was met. The evaluation at the end of both iterations made it clear, that the result is important for the students and something that they can embrace as their own. Second, the students show intense problems with the freedom that they get. It is very interesting how students are primed to perform in the regulation given by professors. Once these frameworks are loosened, they seem lost.

The value lies in the creation of a model that can be used by multiple professors in very different management studies. Through the model students can be taught to solve societal problems.

This paper aims to examine lean thinking in medical commodities supply chains by considering its applications and success factors. It determines the drivers and wastes of medical commodity supply chain, and the existing lean tools and practices together with their application in the supply chain processes. The paper also examined the challenges and success factors for effective lean application in the medical commodities supply chains.

The study used qualitative approaches, in-depth interviews and focus group discussions with key informants to form the basis for data collection. Through thematic analysis, the collected data were analyzed by developing themes reflecting the objectives of the study.

The main drivers for waste associated with the supply chain were demand management, supplier development, institutional framework and governance. The wastes were observed at the level of inventory, operation costs, transaction costs, delays in terms of service, commodity delivery time and quality. Digitalization, information technology and standardization were the tools for medical supply chain. Poor infrastructure, unreliable internet supply, environmental uncertainty and poor management support were challenges to realizing an effective supply chain.

Although the qualitative approach used in the study provides detailed information, a quantitative study covers a larger sample for generalization.

Capacity building and professionalism should be given a priority because the philosophy of lean focuses on waste removal and continuous improvement, which highly depends on the quality of human resource (Brito et al., 2020). Limited human resource capabilities in supply chain management will, therefore, result into poor operational efficiency, which are wasted. Moreover, systems interoperability is key waste minimization and, therefore, demands interventions.

The government under the Ministry of Health and other key sector ministries such as local and regional governments should better understand the role of the waste drivers and adopt system-wide reforms to support improvements to remove waste in the medical supply chain. For example, the current institutional framework creates an administrative block and hence leads to wastes. This bureaucratic procedure should be removed to minimize wastes along the chain.

This study is among the first studies to determine applicability and implementation of lean in a resource-constrained context. The paper identifies contextual factors for lean implementation. This paper focused on a holistic view of the entire supply chains to enhance a well-functioning supply chain in delivering health commodities.

This study investigates the relationship between the Chief Executive Officer's (CEO) overconfidence and financial reporting complexity in Iran, a context characterized by weak corporate governance and heightened managerial discretion.

The sample consists of 1,445 firm-year observations from 2010 to 2021. CEO overconfidence (CEOOC) is evaluated using an investment-based index, specifically capital expenditures. Financial reporting complexity (Complexity) is measured through textual features, particularly three readability measures (Fog, SMOG and ARI) extracted from annual financial statements. The ordinary least squares (OLS) regression is employed to test the research hypothesis.

Results suggest that CEOOC is positively related to Complexity, leading to reduced readability. Additionally, robustness analyses demonstrate that the relationship between CEOOC and Complexity is more distinct and significant for firms with lower profitability than those with higher profitability. This implies that overconfident CEOs in underperforming firms tend to increase complexity. Also, firms with better financial performance present a more positive tone in their annual financial statements, reflecting their superior performance. The findings remain robust to alternative measures of CEOOC and Complexity and are consistent after accounting for endogeneity issues using firm fixed-effects, propensity score matching (PSM), entropy balancing approach and instrumental variables method.

This study adds to the literature by delving into the effect of CEOs' overconfidence on financial reporting complexity, a facet not thoroughly investigated in prior studies. The paper pioneers the use of textual analysis techniques on Persian texts, marking a unique approach in financial reporting and a first for the Persian language. However, due to the inherent challenges of text mining and feature extraction, the results should be approached with caution.

The insights from this study can guide investors in understanding the potential repercussions of CEOOC on financial reporting complexity. This will assist them in making informed investment decisions and monitoring the financial reporting practices of their invested companies. Policymakers and regulators can also reference this research when formulating policies to enhance financial reporting quality and ensure capital market transparency. The innovative application of textual analysis in this study might spur further research in other languages and contexts.

This research stands as the inaugural study to explore the relationship between CEOs' overconfidence and financial reporting complexity in both developed and developing capital markets. It thereby broadens the extant literature to include diverse capital market environments.

While the literature on multitier supply chain management traditionally assumes that first-tier suppliers belong to the visible proportion of the supply base, intermediaries might limit focal firms' visible horizon already at this stage. High power asymmetries promoting centrality and complexity in the supply network are seen as a particular root cause that limits the impact of governance mechanisms for sustainability. To map the space for governance mechanisms in a network-sensitive context more comprehensively, the study analyzes supply network characteristics from a power perspective.

This research is conceptual. To better understand power imbalances and mutual dependencies from network centrality and complexity, network configurations were constructed drawing on resource dependence theory. These configurations allow deducing the impact of (non-)mediated governance mechanisms for a sustainable development in the supply network. An agenda to stimulate future empirical and model-based research is accordingly presented.

The research shows that those networks with densely interconnected first-tier suppliers promote network centrality and complexity, leading to an inverted U-shape relationship between the focal firm's exertion of coercive power and the sustainability performance in the supply network. The findings allow a more comprehensive theoretical grounding for mapping governance approaches in a network-sensitive context and provide insights on how to avoid negative effects from power asymmetries.

The findings suggest the need for accompanying, indirect governance mechanisms already at the stage of first-tier suppliers based on non-mediated forms of power, such as referent power, also promoting disintermediation. Purchasing companies may also consider using digital platform technologies that foster disintermediation, such as blockchain technology.

By studying intermediaries from a power and network perspective, the conceptualization adds to the discussion on governance in multitier sustainable supply chain networks in various industries. Furthermore, it contributes to the increasing efforts of middle-range theorizing in logistics and supply chain management. The results partially challenge previous assumptions on the moderating role of specific network characteristics.

Since Weick’s (1993) seminal Mann Gulch paper articulated a collapse of sensemaking, scholars have repeatedly investigated sensemaking downstream of enactment. Motivated by another wildland firefighting tragedy, the tragic loss of 19 firefighters in Arizona in 2013, this study aims to look at enactment itself and reveals that the endogenous creation and re-creation of the wildland fire caused a fatal feedback loop of “trigger traps” leading to perpetual enactment that short-circuited sensemaking. Wildland fires can have unpredictable consequences, which triggers in individual sensemakers a fatal and continuous return to the beginning of the sensemaking process.

This paper’s approach is a case study based on a textual analysis of sources investigating the 2013 Yarnell Hill fire. The authors also carefully compared the Yarnell Hill and Mann Gulch disasters in search of breakdowns in sensemaking that could help us understand why we continue to lose firefighters in the line of duty.

The simultaneously volatile and complex environment at Yarnell illustrates sensemaking antecedents to the study of enactment. The findings suggest ways that organizations – those fighting wildfire or those fighting a global pandemic – can avoid getting trapped in the early stages of enactment and can retain resilience in their sensemaking.

This paper introduces the concept of “trigger traps” to help explain the fatal feedback loop of repeated environmental triggers in the early stages of sensemaking in volatile environments.