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This paper proposes a semi-Beerian frame of reference for designing a business organization as a system with four subsystems and eight modes of thinking and interacting in both offering and resource markets. A systemic organizational competence includes an ability to connect a business unit with its markets. It possesses absorption, attenuation, and amplifier capacities. It guides and re-specifies all technology, embedded knowledge, capabilities, and other resources that together enable a business unit to act in the predefined, emerging, or innovative ways needed for goal attainment. Ex ante, various research traditions were regrouped into eight schools of thought on business management based on Porter's frameworks, resources, competences, knowledge, organizations, processes, business dynamism, and evolution. The findings reveal that various core, distinct, organizational, higher, and lower competences and capabilities play both primary and secondary roles, across the eight schools of thought, within a population of 84 competence-related business-management concepts published between years 1990 and 2002. Most authors do not deal with competitiveness boundary setting and modeling. A new frame of reference points to some viable avenues of producing highly applicable competence-based concepts as four semi-Beerian subsystems (boundaries, models, designs, and actions). Managing a business unit successfully involves eight kinds of explicit and tacit knowledge, situational information, reflections, decisions, models, designs, and interactions. It is proposed that a high degree of systemic advancement is one of the necessary attributes of any competence-based concept that will be proven to be highly applicable in managing a real dynamic business. Thus, competence-based scholars are encouraged to adopt the suggested assumptions, redesign their concepts as one or several semi-Beerian subsystems, and thus advance their school of thought markedly in the future.

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.

The application of real options theory to international strategy has surged in recent years. However, it is still a relatively new and loosely defined field, and there are several constraints on practical applications of this powerful theory. To move forward this field, the paper first provides a systematic analysis of theoretical and empirical contributions of real options theory to three critical issues in international strategy: (1) valuing multinational networks, (2) assessing market entry modes, and (3) evaluating market entry timing. The paper further suggests that future studies can focus on a refined treatment of uncertainty and the development of a dynamic theory in international strategy. Five testable propositions are developed in these directions.

Bipartite networks (e.g., software developers linked to open-source projects) are common in settings studied by organization scholars. But the structure underlying bipartite networks tends to be overlooked. Commonly, two modes are reduced to one mode for analysis, causing loss of information. We review techniques for projecting 2-modes onto 1-mode and discuss 2-mode measures of clustering. We also address the potential for 2-mode theory development concerning (a) how change in one mode influences change in the other, (b) the question of two types of agency, and (c) how diversity in one mode is a substitute for diversity in the other mode.

Purpose – The purpose of this chapter is to encourage strategy and management researchers to undertake research that captures the relational, unfolding and emergent processes of organizational life.

Methodology/Approach – The wayfinding method weaves concepts from traditional navigation with the wider body of strategy and management research literature. An illustrative case example is presented.

Findings – Six orientations informed by an Indigenous Māori research experience are presented under a trilogy of compass, conduct and contours. These orientations are dynamic dwelling, perceiving process, applying values, making connections, layering up, and expanding validity.

Practical implications – This study will aid researchers’ cultivation of greater methodological dexterity through insights that can assist with adopting a relational approach.

Social implications – The chapter shows how a holistic and relational mode of strategy and management research can help address the rising demand for more sustainable enterprises that create wealth and well-being.

Originality/Value – The chapter provides valuable insights from Indigenous wayfinding for strategy researchers and the organizations they work with.

The chapter outlines the principles underlying relative utility models, discusses the results of empirical applications and critically assesses the usefulness of this specification against commonly used random utility models and other context dependence models. It also discusses how relative utility can be viewed as a generalisation of context dependency.

In contrast to the conventional concept of random utility, relative utility assumes that decision-makers derive utility from their choices relative to some threshold(s) or reference points. Relative utility models thus systematically specify the utility against such thresholds or reference points.

Examples in the chapter show that relative utility model perform well in comparison to conventional utility-maximising models in some circumstances.

Examples of relative utility models are rare in transportation research. The chapter shows that several recent models can be viewed as special cases of relative utility models.

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models, and demonstration in an agent-based microsimulation.

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria, and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Based on artificially intelligent agents, learning and search theory, and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based microsimulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?