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This paper aims to draw attention to a broad range of experimental institutional initiatives which operate in the absence of a global antitrust regime. The purpose of this paper is to offer food for thought to scholars in other fields of international trade law facing challenges from divergent national regimes.

Taking inspiration from political science literature on institutions, this paper crafts a broad analytical lens which captures various organisational forms (including networks), codes (including soft law) and culture (including epistemic communities). The strength and shortcomings of traditional “bricks and mortar” institutions such as the European Union (EU) and General Agreement Tariffs and Trade/World Trade Organisation are first examined. Then, the innovative global network of International Competition Network (ICN) is analysed.

It highlights the value of the global antitrust epistemic community in providing a conducive environment for extensive recourse to “soft law”. Examples from the EU and the ICN include measures which find expression in enforcement tools and networks. These initiatives can be seen as experimental responses to the challenges of divergent national antitrust regimes.

It is desktop research rather than empirical field work.

To raise awareness outside the antitrust scholarly community of the variety of experimental institutional initiatives which have evolved, often on a soft law basis, in response to the challenges experienced by national enforcement agencies and businesses operating in the absence of a global antitrust regime.

It offers some personal reflections on the ICN from the author’s experience as a non-governmental advisor. It draws attention to the ICN’s underappreciated range of educational materials which are freely available on its website to everyone. It submits that the ICN template offers interesting ideas for other fields of international trade law where a global regime is unrealisable. The ICN is a voluntary virtual network of agencies collaborating to agree ways to reduce clashes among national regimes. Its goal of voluntary convergence is portrayed as standardisation rather than as absolute congruence. Even if standardisation of norms/processes is too ambitious a goal in other fields of international trade law, the ICN model still offers inspiration as an epistemic community within an inclusive and dynamic forum for encouraging debate and creating a culture of learning opportunities where familiarity and trust is fostered.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

Current accounting practice tends to split environmental complexities into quantifiable, codified elements, producing codified simplifications of the “complex” in pursuit of environmental externalities. This has led to standardization, but has done little to motivate organizations to engage in more environmentally-aware behavior that transcends the coercive dimensions of codification. The work of Alexander von Humboldt (1769–1859) can bring new insights and perspectives to social and environmental accounting (SEA). In discussing Humboldt's philosophy of understanding the interconnectedness between people, their contexts (cultures) and their environment, the authors contribute to the emerging SEA literature on notions of interconnectedness and the web of accountabilities. The authors also explore how a Humboldtian approach may help break through the current epistemological boundaries of SEA by combining accurate measurement with imagery to make the “complex” manageable whilst embracing interconnectedness and hermeneutics.

In this conceptual paper, the authors humbly draw on Humboldt's legacy and explore the underlying philosophical assumptions of Humboldtian science. The authors then contrast these with current SEA approaches in the literature and derive new insights into their intentionality and practical use.

Re-examining Humboldt's pioneering work enables us to pinpoint what might be missing from current SEA approaches and debates. Humboldt upheld an “ethics of precision,” which included both measurement accuracy and qualitative relevance, and combined hands-on scientific fieldwork with the aesthetic ideals and interconnectedness of the age of Romanticism. Drawing on Humboldtian science, the authors propose focusing on the interconnectedness of nature and humanity, embracing the qualitative and hermeneutical and including aesthetics and emotion in environmental visualizations.

The paper elucidates why and how Humboldtian science might inform, guide and enhance the emancipatory potential of SEA in the 21st century. Specifically, the authors discuss Humboldt's approach of linking accurate measurement with imagery to convey a sense of interconnectedness.

Transportation infrastructure asset management has long been an active but challenging problem for agencies, which urges to maintain a good state of their assets but faces budgetary limitations. Managing a network of transportation infrastructure assets, especially when the number is large, is a multifaceted challenge. This paper aims to develop a life-cycle cost analysis (LCCA) based transportation infrastructure asset management analytical framework to study the impacts of a few key parameters/factors on deterioration and life-cycle cost. Using the bridge as an example infrastructure type, the framework incorporates an optimization model for optimizing maintenance, repair, rehabilitation (MR&R) and replacement decisions in a finite planning horizon.

The analytical framework is further developed through a series of model variations, scenario and sensitivity analysis, simulation processes and numerical experiments to show the impacts of various parameters/factors and draw managerial insights. One notable analysis is to explicitly model the epistemic uncertainties of infrastructure deterioration models, which have been overlooked in previous research. The proposed methodology can be adapted to different types of assets for solving general asset management and capital planning problems.

The experiments and case studies revealed several findings. First, the authors showed the importance of the deterioration model parameter (i.e. Markov transition probability). Inaccurate information of p will lead to suboptimal solutions and results in excessive total cost. Second, both agency cost and user cost of a single facility will have significant impacts on the system cost and correlation between them also influences the system cost. Third, the optimal budget can be found and the system cost is tolerant to budge variations within a certain range. Four, the model minimizes the total cost by optimizing the allocation of funds to bridges weighing the trade-off between user and agency costs.

On the path forward to develop the next generation of bridge management systems methodologies, the authors make an exploration of incorporating the epistemic uncertainties of the stochastic deterioration models into bridge MR&R capital planning and decision-making. The authors propose an optimization approach that does not only incorporate the inherent stochasticity of bridge deterioration but also considers the epistemic uncertainties and variances of the model parameters of Markovian transition probabilities due to data errors or modeling processes.

The aim of this paper is to provide an account of the period prior to the creation of the Global Reporting Initiative (GRI): a body that was critical to the institutionalization of sustainability reporting (SR). By examining this “pre-history,” we bring to light the actors, activities and ways of thinking that made SR more likely to be institutionalized once the GRI entrepreneurship came to the fore.

The paper revisits a time period (the 1990s) that has yet to be formally written about in any depth and traces the early development of what became SR. This material is examined using a constructivist understanding of regulation.

The authors contend that a convergence of actors and structural conditions were pivotal to the development of SR. Specifically, this paper demonstrates that a combination of actors (such as epistemic communities, carriers, regulators and reporters) as well as the presence of certain conditions (such as the societal context, analogies with financial reporting, environmental reporting and reporting design issues) contributed to the development of SR which was consolidated (as well as extended) in 1999 with the advent of the GRI.

This paper theorizes (through a historical analysis) how SR is sustained by a network of institutional actors and conditions which can assist reflection on future SR development.

This paper brings together empirical material from a time that (sadly) is passing from living memory. The paper also extends the use of a conceptual frame that is starting to influence scholarship in accounting that seeks to understand how norms develop.

This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.