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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.

Aside from a few groundbreaking studies, there has been little empirical exploration into the structure of American police organizations. Traditional organizational inquiries have suggested that structural characteristics can be differentiated between those that represent complexity or differentiation within the organization and those that represent control mechanisms to coordinate and manage the complexity. This research investigates whether these various structural elements are indicative of two latent constructs by developing and testing measurement models representing structural complexity and control. Organizational scholars have also argued that structural complexity increases the demand for structural control. Maguire investigated this issue in the context of police organizations and found little support for the hypothesis. The paper reexamines this relationship by extending and replicating Maguire’s analysis to ascertain if a different specification and sample sustain his conclusion. Utilizing data from the 1997 Law Enforcement Management and Administrative Statistics survey and a survey conducted by Edward Maguire, the paper explores these issues using a sample of 401 large, municipal police organizations in the USA. The results indicate that structural control is unidimensional, while structural complexity is not. This study also provides modest evidence supporting an association between structural complexity and control.

One of the critical reasons for the nonacceptance of additive manufacturing (AM) processes is the lack of understanding and structured knowledge of design for additive manufacturing (DfAM). This paper aims to assist designers to select the appropriate AM technology for product development or redesign. Using the suggestion provided by the design assist tool, the user’s design alterations depend on their ability to interpret the suggestion into the design without affecting the design’s primary objective.

This research reports the development of a tool that evaluates the efficacy values for all seven major standard AM processes by considering design parameters, benchmark standards within the processes and their material efficacies. In this research, the tool provides analytical and visual approaches to suggestion and assistance. Seventeen design parameters and seven benchmarking standards are used to evaluate the proposed product and design quality value. The full factorial design approach has been used to evaluate the DfAM aspects, design quality and design complexity.

The outcome is evaluated by the product and design quality value, material suit and material-product-design (MPD) value proposed in this work for a comparative assessment of the AM processes for a design. The higher the MPD value, the better the process. The visual aspect of the evaluation uses spider diagrams, which are evaluated analytically to confirm the results’ appropriateness with the proposed methodology.

The data used in the database is assumed to make the study comprehensive. The output aims to help opt for the best process out of the seven AM techniques for better and optimized manufacturing. This, as per the authors’ knowledge, is not available yet.

This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method has many advantages, it can be unwieldy in practice. This paper aims to address these limitations and to propose a more user‐friendly alternative performance measurement model.

The performance measurement model described in this paper is a combination of two existing methods: Chan and Qi's model and the supply chain operations reference (SCOR) model. To demonstrate the applicability of the combined approach, actual SCOR level 1 performance data and the measurement information from a case supply chain (SC) are collected and processed by Chan and Qi's measurement algorithm.

These two methods complement each other when measuring SC performance.

This paper develops a practical and efficient measurement model that can resolve SC performance problems by incorporating the strengths of two different measurement models to create a synergistic new model.

The purpose of present paper is to enlarge the knowledge about the performance of gypsum powder to realize complex molds or cores for aluminum casting.

The research was divided into two activities: simple; and complex-part production capability. In the simple-part step, the performance of gypsum powder and the minimum mold thickness that would withstand the casting process. In the complex-part step, the authors first investigated the powder removability as a function of geometry complexity and then binder jetting performance was evaluated for the case of lattice-structure fabrication.

All the geometries tested withstand the casting process demonstrating the benefits in terms of complexity part design; however, the process suffers of all the typical defect of casting as misrun, porosity and cold shut.

The results found in this research improve the benefits related to additive manufacturing application in industrial environment and in particular to the binder jetting technology and the rapid casting approach.

The purpose of this paper is to investigate design synthesis methods for designing lattice cellular structures to achieve desired stiffnesses. More generally, to find appropriate design problem formulations and solution algorithms for searching the large, complex design spaces associated with cellular structures.

Two optimization algorithms were tested: particle swarm optimization (PSO) and Levenburg‐Marquardt (LM), based on a least‐squares minimization formulation. Two example problems of limited complexity, specifically a two‐dimensional cantilever beam and a two‐dimensional simply‐supported plate, were investigated. Computational characteristics of the algorithms were reported for design problems with hundreds of variables. Constraints from additive manufacturing processes were incorporated to ensure that resulting designs are realizable.

Both PSO and LM succeeded in searching the design spaces and finding good designs. LM is one to two orders of magnitude more efficient for this class of problems.

Three‐dimensional problems are not investigated in this paper.

LM appears to be a viable algorithm for optimizing structures of complex geometry for minimum weight and desired stiffness.

The testing of design synthesis methods (problem formulations and algorithms) for lattice cellular structures, and the testing of PSO and LM algorithms, are of particular value.

This study aims to examine the effect of exploratory innovation offshoring on the level of hierarchical control and how this effect is moderated by transnational and dynamic environments.

This study draws on a sample of 148 Taiwanese multinational enterprises to examine their governance decisions on foreign investments.

Findings show that the more innovation offshoring is exploratory, the higher the level of hierarchical control will be used by multinational enterprises (MNEs) and that transnational and dynamic environments have different moderation effects on the positive exploratory innovation offshoring-hierarchical control relationship.

This study has two theoretical implications. First, this study extends the concept of complexity from a transaction attribute level (problem) to an environmental level (transnational environment) and finds that exploratory innovation offshoring and transnational environments interactively impact governance choices. Second, this study distinguishes between two sources of technological uncertainty – uncertainty due to transaction-level attributes (exploratory innovation offshoring) and external environments (dynamic environments) and finds that exploratory innovation offshoring and dynamic environments interactively impact governance choices.

The practical implication of this study lies in the simultaneous consideration of exploratory innovation offshoring and transnational/dynamic environments, which will allow international decision-makers to adjust/select the governance forms most appropriate for speedy responding to and handling environmental changes.

This study employs the theoretical perspectives of transaction cost economics (TCE) and resource-based view (RBV) to analyze and discuss the impact of operational environments – transnational and dynamic environments – on MNEs’ decisions on the governance structure for a given innovation offshoring.

The purpose of this paper is to describe and discuss complexity approaches of management theory, by focusing on their capacity to use efficiently contingence in organizations. As a theoretical framework the theory of social systems (Luhmann) is used, where a difference is made between complexity reduction and condensation. Complexity reduction is related to certain functional needs to control a hierarchical system. Complexity condensation redesigns communicative structures towards participative norm development, offering discursive connectivity, and decision making in networks. It is described how heterogeneous cultures in organizations have the chance to be successful by focusing their functional needs to include, to orient, and to motivate.

The paper opted for discussing theoretical frameworks to reconstruct management approaches to develop towards more diversity capacity in organizations. Theory of social systems is employed as basic methodology.

The chosen research reconstructs management approaches to focus on functional imperatives of organizational systems as well as the development of functional equivalents. The logic figure of functional equivalents describes alternatives of exclusive organizational cultures. Heterogeneity in organizations is based on the redesign of communicative procedures, structures and cultures.

The aim of the paper is diversity theory development. It offers heuristic moments which might be useful in empirical research, too. Following the suggestion homogeneity is just an outcome of certain organizational decisions to deal with contingency and complexity, it might offer practical relevance by testing the capacity to change communication and interaction patterns. The culture‐function matrix also might offer an opportunity to discuss the paradigms of organizational development towards more diversity.

There might be the possibility to enhance conditions of observing organizations, but the practical implications might be rather limited.

Using theory of social systems (Luhmann) as theory which focuses complexity traits is rather undeveloped. It could offer insights in the capacity to deal with contingency, and the attempts to suppress it. Complexity in social systems could offer a prerequisite to support the interdisciplinary research in diversity studies.

This paper aims to contribute to current research on complexity management by re‐visiting Beer's paradigm on control and self‐organization and explaining its usefulness to support non‐hierarchical organizations and networks and its complementarities to new development in complexity sciences.

The paper explains the current crisis of hierarchical structures and then summarises new proposals on non‐hierarchical organizations from the perspective of complexity sciences. It then summarises Beer's provenance of control and, in particular, the ideas of requisite variety and meta‐systemic management. It explains how these ideas transform the way of approaching management and presents examples of real‐life businesses transformed by following this approach.

The analysis highlights limitations in current management theory and practice that can be overcome by embracing the paradigm of control suggested by some of the pioneer cybernetitians. It shows that the model has unprecedented powers to describe and analyse the network characteristics of contemporary social organizations from the perspective of effective management and lays down a new and democratic paradigm of control.

This paper concentrates on explaining the main arguments of meta‐systemic management suggested originally by Beer and exploring its implications for managing complex networked organizations; more applied research would be convenient to experiment the suggested model.

This study hopefully has shown that core ideas from the tradition of cybernetics add diagnostic and design power to the other tools of complexity management, giving rise to new insights into how learning, networked structures can be brought to reality.

Technological uncertainty and technological complexity are key characteristics of new product development (NPD) projects that impose significant information processing requirements on organizations. This paper examines the direct influence of technological uncertainty and technological complexity as well as the indirect influence of work experience on organizational information processing capabilities.

The author used a sample of 166 respondents from the German automotive industry and applied linear hierarchical regression analysis.

The results confirm a negative influence of technological uncertainty and technological complexity on organizational information processing capability. This research also supports a moderating influence of work experience on these relationships.

This research helps to understand the relationship between technological uncertainty, technological complexity and OIPC. It represents a first and different approach to measure these constructs for further empirical studies and provides interesting managerial implications.