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In this paper, three research topics are presented referring to different aspects of multifield problems in civil engineering. The first example deals with long term behaviour of wood under multiaxial states of stress and the effect of moisture changes on the deformation behaviour of wood. The second example refers to the application of a three‐phase model for soils to the numerical simulation of dewatering of soils by means of compressed air. The soil is modelled as a three phase‐material, consisting of the deformable soil skeleton and the fluid phases – water and compressed air. The third example is concerned with computational durability mechanics of concrete structures. As a particular example of chemically corrosive mechanisms, the material degradation due to the dissolution of calcium and external loading is addressed.

In this article I examine the role of ANZHES and its contribution to the development of the field over the past 40 years. Drawing on a range of theories, I argue that the annual exchange (or pilgrimage) of academics between Australia and New Zealand has been a vital component in the nurturing of our intellectual geographies and the formation of ANZHES as an intellectual community of scholars. And while ANZHES might well be borderless, there has been a gradual emergence of a border zone as academic work, academic knowledge and the Academy has been increasingly fractured, partitioned and dispersed. What then is the disciplinary territory that historians of education now occupy? How has the landscape of our work shifted and changed? To what extent might these connections be represented in ANZHES’ academic journal?

In this chapter, the authors describe and explain how executive management enacts strategizing routines to strengthen their entrepreneurial agility, as a precondition to make new strategic moves possible. The authors contribute to the routine dynamics research program, by showing how the dynamics of routines, in a strategy context, shape strategic outcomes: the authors describe four strategizing routines – distancing, evaluating, experimenting, and re-assembling – as a particular promising focus for routine and strategy research. The authors discuss executive management’s enactment of such routines as part of their strategy work. The authors show how routine enactment makes entrepreneurial agility and new strategic moves possible. By exploring the dynamics of strategizing routines and their impact on strategic outcomes, the authors at the same time benefit from and contribute to the strategy-as-practice research program. Empirically, the authors study how the executive management of Hoechst AG successfully made unthinkable new strategic moves possible, discussable, and realizable in the context of the corporation’s strategic transformation between 1994 and 1996.

The purpose of this paper is to introduce a methodology to identify sustainable supply chain key performance indicators (KPI) that can then be used for sustainability performance evaluation for suppliers.

Initially the complexity of sustainable supply chain performance measurement is discussed. Then, a two-stage method utilizing neighborhood rough set theory to identify KPI and data envelopment analysis (DEA) to benchmark and evaluate relative performance using the KPI is completed. Additional analysis is performed to determine the sensitivity of the KPI set formation and performance results.

The results show that KPI can be determined using neighborhood rough set, and DEA performance results provide insight into relative performance of suppliers. The supply chain sustainability performance results from both the neighborhood rough set and DEA can be quite sensitive parameters selected and sustainability KPI sets that were determined.

The data utilized in this study are illustrative and simulated. Only one model for the neighborhood rough set and DEA was utilized. Additional investigations using a variation of rough set and DEA models can be completed.

This tool set is valuable for managers to help identify sustainable supply chain KPI (from among hundreds of potential measures) and evaluate sustainability performance of various units within supply chains, including supply chain partners, departments, projects and programs.

Sustainability incorporates many business, economic and social implications. The methods introduced in this paper can help organizations and their supply chains become more strategically and operationally sustainable.

Few tools and techniques exist in the sustainable supply chain literature to help develop KPIs and evaluate sustainability performance of suppliers and the supply chain. This paper is one of the first that integrates neighborhood rough set and DEA to address this important sustainable supply chain performance measurement issue.

A major problem of business process modelling languages that primarily express the flow of activities is the limited support for actor modelling provided by rigid swimlane concepts. Thus, the aim of this work is to present a general approach for actor modelling in business processes that supports different layers of abstraction, thereby increasing the expressiveness and avoiding inaccuracy and redundancy.

The proposed actor modelling approach supports task-based assignment of actors and roles based on deontic logic and speech act theory. The semantics of the approach is formally specified based on abstract state machines.

The new approach for actor modelling is more expressive and provides the possibility to reduce the structural complexity of the process flow as shown by a case study and a comparison of an ordinary business process modelling approach using swimlanes and the actor modelling approach based on the workflow resource patterns. In particular, the evaluation showed that important patterns such as separation of duties and retain familiar are only supported by the actor modelling approach.

The research is to some degree in the context of the business process model and notation as a representative of a business process modelling language using swimlanes.

Different gradations concerning the extent to which actor modelling is supported make the new approach outstanding for modelling activities, actors, and constraints in an expressive and legible way.