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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?

While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to address this gap by focusing on the impact of bookmarking on consumer behavior, guided by the cognitive load theory and dual-system theory.

The authors executed a controlled experiment and analyzed the results using a two-stage regression method that linked visual appeal, bookmarking and purchase intent. Further empirical analysis was conducted to authenticate the authors' proposed model, utilizing real-world mobile commerce data from a clothing company.

This study's findings suggest that visual appeal influences purchase intent primarily through the full mediation of bookmarking, rather than exerting a direct influence. Furthermore, an increase in colorfulness corresponds positively with visual appeal, while visual complexity exhibits an inverted U-shaped relationship with it.

This study provides novel insights into the choice-set formation process through the theoretical lens of dual-system theory. Additionally, the authors employed an image processing technique to quantify a product's visual appeal as depicted in a photograph. This study also incorporates a comprehensive econometric analysis to connect the objective aspects of visual appeal with subjective responses.

This paper examines how a firm's hierarchical complexity, which is determined by the way it organizes its subsidiaries across the hierarchical levels, can impact its stock price crash risk.

The authors employ a measure of hierarchical complexity that captures the depth and breadth of how subsidiaries are organized within a firm. This measure is calculated using information about firms' subsidiaries extracted from the Bureau van Dijk (BvD) database that allows the authors to construct each firm's hierarchical structure. The data sample includes 2,461 USA firms for the period from 2012 to 2017 (11,006 firm-year observations). Univariate tests and panel regression are used for the main analysis. Two-stage-least-squares (2SLS) instrumental variable regression and various other tests are employed for robustness check.

The results show a positive relationship between hierarchical complexity and stock price crash risk. This relationship is amplified in firms with a greater number of subsidiaries that are hierarchically distanced from the parent company as well as in firms with a greater number of foreign subsidiaries in countries with weaker rule of law.

This paper is the first to investigate the impact hierarchical complexity has on crash risk. The results highlight the role that a firm's organizational structure can have on asset pricing behavior.

The aim of this study was to explore and understand the leadership experiences of medical consultants prior to a major hospital move. Health and care is becoming increasingly complex and there is no greater challenge than the move to a new hospital. Effective leadership has been identified as being essential for successful transition. However, there is very little evidence of how medical consultants experience effective leadership.

A qualitative methodology was utilized with one-to-one semi-structured interviews conducted with ten medical consultants. These were transcribed verbatim and analyzed using inductive thematic analysis. The research complied with the consolidated criteria for reporting qualitative research (COREQ).

Four themes were found to influence medical consultants’ experience of leadership: collaboration, patient centredness, governance and knowledge mobilization. Various factors were identified that negatively influenced their leadership effectiveness. The findings suggest that there are a number of factors that influence complexity leadership effectiveness. Addressing these areas may enhance leadership effectiveness and the experience of leadership in medical consultants.

This study provides a rich exploration of medical consultants’ experience of collective leadership prior to a transition to a new hospital and provides new understandings of the way collective leadership is experienced in the lead up to a major transition and makes recommendations for future leadership research and practice.

The findings suggest that there are a number of factors that influence complexity leadership effectiveness. Addressing these areas may enhance leadership effectiveness and the experience of leadership in medical consultants.

Clinical leadership is associated with better outcomes for patients therefore any interventions that enhance leadership capability will improve outcomes for patients and therefore benefit society.

This is the first research to explore medical consultants’ experience of collective leadership prior to a transition to a new hospital.

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.

Power plant projects are very complex and encounter serious cost overruns worldwide. Their cost overrun risks are not independent but interrelated in many cases, having structural relationships among each other. The purpose of this study is, therefore, to establish the complex structural relationships of risks involved.

In total, 76 published articles from the previous literature are reviewed using the content analysis method. Three risk networks in different phases of power plant projects are depicted based on literature review and case studies. The possible methods of solving these risk networks are also discussed.

The study finds critical cost overrun risks and develops risk networks for the procurement, civil and mechanical works of power plant projects. It identifies potential models to assess cost overrun risks based on the developed risk networks. The literature review also revealed some research gaps in the cost overrun risk management of power plants and similar infrastructure projects.

This study will assist project risk managers to understand the potential risks and their relationships to prevent and mitigate cost overruns for future power plant projects. It will also facilitate decision-makers developing a risk management framework and controlling projects’ cost overruns.

The study presents conceptual risk networks in different phases of power plant projects for comprehending the root causes of cost overruns. A comparative discussion of the relevant models available in the literature is presented, where their potential applications, limitations and further improvement areas are discussed to solve the developed risk networks for modeling cost overrun risks.

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.

While sustainability experts point to interrelated social, economic and environmental goals, students may think about sustainability primarily as natural resources. To prepare students to tackle global challenges to well-being, this paper aims to show that educators need to assess and address students’ shortcomings in considering socioeconomic dimensions.

This study coded essays on the meaning and components of sustainability written by 93 undergraduate and graduate students in environmental policy, business and engineering courses at US and Austrian universities. Then, the study reviewed a teaching strategy using diverse experts, case studies and assignments. Finally, the analysis evaluated students’ final projects proposing sustainability legislation with social, economic and environmental dimensions.

Students usually connect sustainability with limited natural resources affecting current and future generations, but seldom think that sustainability means acting on prominent socioeconomic challenges like poverty, food insecurity, pandemics and violence. Teaching in diverse courses through multidimensional case studies and legislation broadened and deepened students’ understanding and preparedness to act.

Despite experts’ attention to the interconnected Sustainable Development Goals, educators and policymakers need information on whether students associate sustainability with socioeconomic challenges. Open-response questions can reveal gaps in the respondents’ sustainability beliefs. In a wide range of courses, teaching can use diverse experts and multidimensional case studies and legislative assignments.

The purpose of this paper is to analyze to what extent and in what ways signaling theory has been explored within the field of international marketing. This paper systematically reviews the use of signaling theory in the field of international marketing. Communication is a core aspect of the international marketing process. Research in this field has explored effective and unique ways of improving the communication flow to reduce the asymmetry of information between international consumers and the firm. This notion is adopted, enhanced and strengthened by signaling theory. Signaling theory has recently received the attention of international marketing scholars.

The systematic review methodology was applied for the purpose of identifying the relevant studies. We extracted academic articles over the last 23 years from the domain of international marketing that directly contribute to signaling theory based on 57 journal articles extracted through the systematic review process.

Based on systematic research the results reveal that the topic has grown and continues to expand within the broader international marketing field. We offer a theoretical conceptual framework to better understand signaling theory in the context of international marketing.

The authors map and critically evaluate the use of signaling theory in international marketing. Relevance of signaling theory in international marketing is growing and authors present an integrative framework that organizes the existing literature, and provides scholars to further expand on emerging themes of the domain. The paper offers some useful future research directions.

This study examines whether the gains from export sophistication is conditional on the level of globalisation. Previous studies have shown that the impact of export sophistication on growth varies depending on the level of a country's economic development. The authors argue that globalisation plays an important role in influencing the gains from export sophistication, mainly through the competition and scale effects. The competition effect disincentivises domestic firms to engage in export markets, while the scale effect incentivises knowledge accumulation and innovation.

The authors employ data from 163 economies from 1995 to 2018. The authors re-estimate values for export sophistication using ordinary goods from 1995 to 2018 and estimate a growth model using the generalised method of moments (GMM) to control for endogeneity and simultaneity issues.

The results show that the gains from export sophistication and globalisation is greater for economies with higher levels of economic development compared to economies with low levels of economic development. Moreover, the authors find that the gains from export sophistication are conditional on the level of globalisation. The authors’ results show that the marginal impact of export sophistication diminishes as developing economies become more globalised, while advanced economies gain more from export sophistication when globalisation precedes at a higher level.

Previous studies have generally examined the conditional growth effects of export sophistication on trade, economic development and other structural factors. To the best of the authors’ knowledge, this is the first study to examine the impact of globalisation, and the authors exploit the multidimensional concept of globalisation to test the hypothesis.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0001.