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The chapter analyses the ways actors in seaports are embedded in network configurations and develop Business to Business (B-2-B) relations. It also discusses the ways that the latter relations result in functional and relational values. The emphasis is on the presence of port value chains, wherein positioning and effective networking contribute to the total value proposition to the involved actors.

The chapter grounds on a literature review on B-2-B relations and the role of interdependencies developed between stakeholders within industrial markets. The empirical data discussed afterwards lead to the identification and analysis of the different types of interdependencies that might be found within port settings. In this context, the concept of port value chains is put forward. Interdependencies are attached to the various relationships developed between port stakeholders, in order to derive meaningful conclusions. The research is based and data provided through semi-structured interviews with major port stakeholders (e.g. port authorities, shipping lines, freight forwarders etc.) in a number of European seaports (Antwerp, Zeebrugge, Piraeus etc.).

The importance of co-creation of value via matching resources with upstream and downstream entities is established. The chapter also details how actors interdependence as a significant variable determining the level of co-creating value. The empirical analysis provides insights about the existence of three types of interdependencies in ports (namely, serial, pooled and reciprocal) that are found in a number of distinctive relationships developed between, terminal operators, freight forwarders, shipping lines and other key port actors.

In reference to future research, two fields are identified and are worth to be examined in terms of both academic and practical scope. These are the examination of relationship management and of the value generated in seaports respectively.

The present chapter is a first attempt to link port stakeholders’ interdependencies with relationships generated throughout the process, and generate knowledge on what influences the value offered in seaports. Moreover, the innovative concept of port value chains is established.

This chapter contains a discussion of interdependencies as an explanatory construct in conceptualising the business world and explaining managerial behaviours. Specific interdependencies that exist in business networks influence the outcomes of business relationships. Such interdependencies can be more or less clearly acknowledged and perceived by the practitioners (managers), who can act upon them and create new interdependencies. Interdependence thus also plays an important role in developing effective explanations and conceptualisations of the business world. Some of the interdependencies are consequences of actions focusing on rationalisations, development or positioning, while other interdependencies are made with the intention of creating a specific position or some other effects. To live with, and be competent in, handling interdependencies is thus imperative in the interactive business landscape; as a consequence interdependencies need to be addressed when theorising the business world and its dynamics.

This paper examines how target costing decisions can be impacted by product and production interdependencies.

Numerical examples are used to investigate the effect that product and production interdependencies have on target costing decisions. Mixed integer programming and simulation are used to model the interrelationships between a product’s cost reduction effort and related decisions such as product mix, pricing, and capacity acquisition. Product and production interdependencies are introduced by evaluating a product with multiple price and demand options, capacity is acquired in large discrete quantities, and resources have economies of scale. Analyses of choices made with and without considering product and production interdependencies are used to evaluate their effects on target costing decisions.

A product’s cost reduction effort cannot be determined independently of other production-related choices, such as product mix, capacity, and price, in the presence of product and production interdependencies.

The findings of this paper underscore the need for additional research to understand the conditions that impair target costing decisions and the economic consequences of suboptimal decisions.

Rather than assessing target costing decisions at the individual product level, these decisions must be evaluated at the portfolio level of the firm’s operations.

Suboptimal target costing decisions impact the products and product mix that the firm chooses to offer, which affects the ability of organizations to effectively achieve their strategic goals.

This paper identifies new limitations to target costing that can help managers understand the technique better and lead to improved target costing decisions.

The process approach to multi-level organizational behavior is based on the assumption that multi-level organizational behavior is processual in nature. This article defines group and organizational processes and their representation as process frameworks. Both functional and inclusional classes of levels exist, each of which has at least five categories of levels. All ten categories are special cases of process frameworks. This article provides examples of each category level, which it uses to illustrate new models of organizational work, extended models of interdependence, a new typology of theories based on their levels of processes, and a new tool for survey research called knobby analyses. After explaining the basic idea of knobby analysis, the article briefly describes the processual theory of the organizational hologram, the use of linear programming, and causal-chain analysis to provide multi-level explanations of employee opinion data. These ideas are embodied in conducting a strategic organizational diagnosis, which is the first stage of organizational design. Organizational design encompasses multiple stages, each of which itself involves multiple, multi-level phenomena and analyses. The basic point is that the processual nature of multi-level organizational phenomena gives more hope for improvements in theory building and their application if one uses the process approach rather than a variable approach.

This article provides an overview of the panel vector autoregressive models (VAR) used in macroeconomics and finance to study the dynamic relationships between heterogeneous assets, households, firms, sectors, and countries. We discuss what their distinctive features are, what they are used for, and how they can be derived from economic theory. We also describe how they are estimated and how shock identification is performed. We compare panel VAR models to other approaches used in the literature to estimate dynamic models involving heterogeneous units. Finally, we show how structural time variation can be dealt with.

In this chapter, the authors theorize organizational integration by extending, elaborating, and combining various theoretical perspectives, such as structural contingency theory, organization economics, and organizational culture. The aim of this study is to provide the foundation for a holistic theory of integration that examines the different relevant facets of integration and a comprehensive set of tools – integrative devices – by which integration can be sought by those who design the organization. To this end, the authors examine the integration challenge that arises from various types of subunit interdependence – pooled, sequential, and reciprocal – and theorize which configurations of integrative devices are more likely to be effective in a given task environment. The authors close by discussing directions for future research on organizational integration.

In this paper, we offer insights that combine a network perspective of the multinational company (MNC) with an analysis of different types of interdependencies. We develop and illustrate our arguments with a company case (LIMO) and argue that types of interdependencies have consequences for the orchestration of MNC activities. The experience from LIMO suggests that extreme organizational designs, where orchestration is either purely local or mostly global, fail to capture the nuances necessary to ensure efficiency and profitability. The main theoretical contribution in this paper is to show that the search for orchestration through an organizational design must involve the combination of several perspectives of activity combinations and their interdependencies. Simply optimizing through a tight network or looking at the firm as a loose federation is too simple to understand the complex trade-off facing modern MNCs.

Business model innovation (BMI) constitutes a priority for managers across industries, but it represents a notoriously difficult innovation, with several challenges, many of which are cognitive in nature. The received literature has variously suggested that one way to overcome challenges to BMI, including cognitive ones, and support the cognitive tasks is using visual representations. Against this background, we aim at offering a contribution to the emerging line of inquiry at the nexus between business models (BMs), cognition and visual representations. Specifically, we develop a new method for visual representation of the BM in support of simplification of the cognitive effort and neutralisation of cognitive barriers. The resulting representation – a network-based representation, anchored on the activity-system perspective and offering complementarity and centrality/periphery measures – allows to visually represent an existing BM as a network (nodes and linkages) of interdependent activities and to express information related to the degree of centrality/periphery of single activities (nodes) with respect to the rest of a BM configuration. This information, we argue, is potentially very valuable in supporting the cognitive tasks involved in business model reconfiguration (BMR). We guide the reader to progressively appreciate how the development of the proposed method for visual representation is anchored to two main characteristics of BMR, namely the discovery-driven nature of BMR and the path-dependent nature of BMR. We offer initial insights on the cognitive value of such a type of representation in relationship to the simplification of the cognitive effort and the neutralisation of cognitive barriers in BMR.

In this chapter, we explore the relationship between organizational complexity and firm-level innovation. We define and operationalize a new construct, experienced complexity, which is the extent to which the organizational environment makes it challenging for decision makers to do their jobs effectively. We distinguish experienced complexity from structural complexity, which is the elements of the organization, such as the number of reporting lines or integrating mechanisms, that are deliberately put in place to help the organization deliver on its objectives, and we argue that structural complexity correlates positively with firm-level innovation, while experienced complexity correlates negatively with innovation. Using a novel dataset combining survey and objective data on 209 large firms, we find support for our arguments.

In this chapter I would like to recall how I got started on my research on the multinational enterprise (MNE) and outline how my thinking on this important economic institution has evolved through the years.11I thank Sondra Grace of Gracefully Put for editing this manuscript.