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This paper aims to assess the dissemination of cluster ideas advanced in the “Competitive Advantage of Nations” and three subsequent national studies and the reasons for their substantial public policy impact in Norway.

The paper presents the theoretical and methodological novelties of each of the national studies, the inclusive study-organizing principle used and public policy impact.

The papers finds that the dissemination of cluster thinking and the development of a successful cluster-based industrial policy in Norway is largely a function of the nature and extent of the cluster research efforts that took place in Norway. The national cluster research projects mobilized all the key industrial and governmental actors in a very effective way, making studies with both rigor and relevance. Due to advanced and demanding policy makers, the studies also evolved in terms of the theoretical models and methodologies used.

The paper contributes by illuminating the direct and indirect impact of the “Competitive Advantage of Nations” on both academic endeavors and public policies in Norway and by explicating how studies that make it possible for academics and practitioners to work in tandem substantially affect public policy.

The purpose of this paper is to present a novel application of cluster theory and cluster methodology to evaluate large infrastructure investments. The complementing clusters approach, which builds on the notion of infrastructure as connecting isolated “economic islands”, is able to assess the potential for value creation effects of new infrastructure investment.

The author uses simulation analysis based on a unique data set encompassing all employees and employers, as well as cluster mapping, for every pair of “economic islands” being connected by the examined infrastructure investments. The empirical setting is of large fjord crossings in Western Norway, the so-called E39 project.

The empirical findings show that productivity gains are higher when an integrated labor market hosting complementary clusters is formed. Limitations remain regarding the economic integration path.

The authors provide an ex-ante analysis using information over the past 10 years. Following the expected infrastructure investments, future research should examine the extent to which productivity gains materialized and the reasons underlying the achieved materialization levels.

Current evaluation of large infrastructure investments focuses on transportation economics effects, technical feasibility and environmental consequences. The authors complement this current practice by advancing a theoretically grounded value creation perspective that can affect future evaluation practices.

Cluster complementarity-based evaluation is a novel methodology that is applicable to investment decisions which are central for economic development. Cluster analysis of infrastructure investments provides new and valuable data for making such investments decisions.

Direct digital manufacturing (DDM) is conceived of as either disrupting the entire manufacturing economy or merely enabling novel production. The purpose of this paper is to introduce an alternative where DDM coexists with and complements traditional mass production. When multiple parts run across one manufacturing line, DDM can isolate variability associated with low volume part production and may be preferred to mass production despite being expensive. If DDM complements rather than cannibalizes mass production, this alters the understanding of who adopts DDM, the products built with DDM, and DDM’s long-term supply chain implications.

This invited paper explores a DDM rollout scenario and qualitatively assesses potential supply chain reconfigurations.

The analysis recognizes that existing manufacturers with heterogeneous bills-of-material may develop DDM capabilities to isolate disruptive, low-volume production from scalable mass production. Developing DDM competence and raw material scale advantages, these manufacturers become the locus of change in a manufacturing landscape increasingly characterized by multi-product DDM supercenters.

Extant research largely focusses on two potential reasons for DDM adoption: cost-per-unit and time-to-delivery comparisons. The authors explore a third driver: DDM’s capacity to isolate manufacturing variability attributable to low volume parts. Relative to the extant literature, this suggests a different DDM rollout, different adopters, and a different supply chain configuration. The authors identify mass manufacturing variability reduction as the mechanism through which DDM may be adopted. This adoption trajectory would eventually enable a supply chain transition in which spare parts inventory migrates from finished goods at proprietary facilities to raw materials at generalized DDM supercenters.

After 40 years, IJPDLM received its first impact factor from Web of Science in 2010. This anniversary editorial provides a retrospective bibliometric assessment of IJPDLM over its initial five years as a Web of Science journal (2011-2015). First, IJPDLM’s citation metrics are compared to those for the Web of Science journal subject category of Management. Next, IJPDLM’s most cited articles, best papers and special issues together with the international diversity of the journal’s author base from 2011 to 2015 are reviewed. The analysis also presents the journals that cite IJPDLM most frequently, as well as the journals most frequently cited in IJPDLM. Finally, IJPDLM is compared to peer journals in the logistics and SCM field on various scholarly metrics including impact factor, five-year impact factor, h5-index, number of citations received and self-citation rate. The paper aims to discuss these issues.

Retrospective bibliometric analysis of IJPDLM from 2011 to 2015.

Boosted by the journal’s admission to Web of Science in 2010, IJPDLM has made steady progress toward fulfilling the mission of providing its constituents with timeliness, inclusiveness and impact.

The comparison of IJPDLM’s scholarly metrics with those of peer journals and journals in the Web of Science Management category will be of interest and value to logistics and SCM researchers.

The retrospective overview and celebration of IJPDLM’s progress over the last five years and future directions will be of interest to the journal’s stakeholders and prospective authors.

Recent international business research finds that state-owned multinational enterprises (SOMNEs) invest relatively more in politically risky host countries than do privately-owned multinational enterprises (MNEs). This study aims to investigate theoretically and empirically whether state ownership mitigates the impact of host-country political risk on subsidiary economic risk.

The authors link theoretical arguments on state ownership to arguments from non-market strategy literature to outline mechanisms whereby state ownership can buffer subsidiaries from political risk, weakening the link between host-country political risk and earnings volatility in subsidiaries. Using a data set on Norwegian MNEs’ foreign subsidiaries across almost two decades, the authors test this prediction using both matching methods and panel regressions.

While standard panel regressions provide empirical support only for the infrastructure sector and for the highest political risk contexts, nearest-neighbour matching models – comparing only otherwise similar private- and SOMNE subsidiaries using the full sample – reveal more general support for the political risk mitigation hypothesis.

The study presents the first comprehensive analysis of whether state ownership can mitigate the effect of political risk on subsidiary economic risk.

While mainstream theories in international business and management are foundedeither explicitly or implicitly on studies of manufacturing firms, prior attempts to develop theoryon the internationalization of service firms are sparse and have yet to establish solid andcomprehensive frameworks. The thrust of this study is that value creation logics, a constructoriginally developed by Stabell and Fjeldstad (1998) can assist us in better understanding why and how service firms internationalize. The authors extend this construct and propose that the internationalization of service firms must be based on a thorough understanding of the fundamental nature of these firms.

Theoretical study.

The authors put forward propositions concerning the pace of internationalization and the default foreign operation modes in service firms.

The use of value creation logics can be a useful complement to the conventional approaches to the study of service firms’ internationalization. However, the fact that most firms encompass more than one value creation logic complicates the use of firm databases and industry statistics.

The authors suggest that managers in service firms should consider primarily the nature of the value creation logic(s) in their firms when deciding and designing an internationalization strategy.

The study presents a novel theoretical approach and a set of propositions on service firm internationalization founded on the specific characteristics of the service activities.

Disruptive technologies in the global logistics industry are often regarded as a threat to the existing business models of incumbents’ companies. Existing research, however, focuses mainly on whether technologies have disruptive potential, thereby neglecting when such disruptive transitions occur. To understand the timing of potential disruptive technological change, this paper aims to investigate the elements of the underlying ecosystem shaping these transitions.

Building on the established ecosystem framework from Adner and Kapoor (2016a), this paper constructs four categories of technology substitution to assess how quickly disruptive change may occur in the global logistics industry and defines key technology substitution determinants in logistics to emphasize the role of ecosystems for further consideration into disruptive innovation theory.

Based on the key determinants, this paper proposes first definitions of distinctive ecosystems elements linked to the three types of innovations, namely, sustaining innovations, low-end disruptions and new-market disruptions, thereby integrating ecosystems into Christensen’s (1997) disruptive innovation theory.

By developing a framework that conceptualizes the pace of technology substitution, this paper contributes to a more nuanced understanding of how logistics managers and academics can better predict disruptive transitions and develop strategies to allocate resources.