Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters

Purpose – The first purpose of this paper is to situate and conceptualise ambiguity in the operations management (OM) literature, as connected to supply chain decision-making (SCDM). The second purpose is to study the role of ambiguity-coping mechanisms in that context. Design/methodology/approach – This research uses the behavioural decision theory (BDT) to better embed ambiguity in a generic SCDM framework. The framework explicates both behavioural and nonbehavioural antecedents of ambiguity and enables us to also ground the “coping” mechanisms as individual and organisational level strategies. Properties of the framework are illustrated through two “ambiguous” events – the 2011 Thai flood and Covid-19 pandemic. Findings – Three key findings are documented. First, ambiguity is shown to distinctively affect supply chain decisions and having correspondence with specific coping mechanisms. Second, the conceptual framework shows how individual coping mechanisms can undermine rational-based organisational coping mechanisms, leading to “sub-optimal”(poor) supply chain decisions. Third, this study highlights the positive role of visibility but surprisingly organisational “experiential” learning is imperfect, due to the focus on “similar” past experience and what is known. Originality/value – The paper is novel in two ways. First, it introduces ambiguity – an often neglected concept in operations management – into the supply chain lexicon, by developing a typology of ambiguity. Second, ambiguity-coping mechanisms are also introduced as both individual and organisational strategies. This enables the study to draw distinctive theoretical and practical implications

Natural disasters, PC supply chain and corporate performance

Purpose – This paper provides quantitative evidence of natural disasters’ effect on corporate performance and studies the mechanisms through which the supply chain moderates and mediates the link. Design/methodology/approach – Using two major natural disasters as quasiexperiment, namely the 2011 Japanese earthquake-tsunami (JET) and Thai flood (TF), and data over the period 2010Q1-2013Q4, effect of these events on end assemblers’ performance is studied, with a focus on the personal computer (PC) supply chain. The moderating influence of delivery and sourcing – as supply chain flexibility and agility – are examined through end assemblers’ and suppliers’ inventory. The suppliers’ mediating role is captured as disruption in obtaining PC components through their sales. Findings – Only JET had any negative effect, further quantified as short-term and long-term. The TF instead portrays an insignificant but positive aftermath, which is construed as showing learning from experience and adaptability following JET. Inventory matters, but differently for the two events, and suppliers only exhibit a moderating influence on the assemblers’ disaster-performance link. Originality/value – Natural disasters, as catastrophic vulnerabilities, are distinct from other vulnerabilities in that they are hard to predict and have significant impact. Since little is known about the impact of natural disasters on firm performance and how supply chain mechanisms moderate or mediate their impact, they should be distinctly modelled and empirically studied from other vulnerabilities. This paper sheds light on supply chain resilience to such events with the role of dynamic capabilities

Access to finance, technology investments and exporting decisions of Indian services firms

This study provides fresh empirical evidence on the influence of various financing sources on firms’ technology investments and exporting decisions using a panel of firms from the service sector in India during the period 1999–2010. Allowing both activities to be jointly determined, our results show that the source of finance matters for exporting and investing in technology. Moreover, the importance of different types of finance varies across industries in the service sector. Overall, we find that internal funds and non-conventional sources of finance play an important role for exporting and investing in technology in both modern and traditional services. However, funding from conventional financial markets exerts divergent effects across service industries: while traditional service firms use resources from the banking sector to fund their technological investments, firms in the modern service sector rely more on funds raised through equity markets to support their exporting and technological efforts. These results contribute to the academic literature and policy debate on the importance of financial mechanisms to promote firms’ strategic investment decisions

Are nontariff measures and tariffs substitutes? Some panel data evidence

Using new estimates of ad valorem equivalent of nontariff measures (NTMs) over time, this paper examines NTMs and tariffs’ relationship for a sample of 70 economies for 4,949 products at the 6‐digit harmonized system level over the period 2003–2015. A panel data methodology models the lagged adjustment of NTMs to tariffs, consistent with a causal relationship. Trade policy substitution is found when the models are estimated in both levels and changes; with this holding for both OECD and non‐OECD countries, but not for the agriculture sector in OECD countries. Overall, there is a fairly complete substitution between policy instruments in absolute terms

Chinese cross‐border mergers and acquisitions in the developing world: Is Africa unique?

China has emerged as an important partner for Africa. Not surprisingly, Chinese business and investment relations with Africa have been growing. This article contends that Africa offers a different proposition to Chinese business interests in non-African developing economies. In this optic, it takes a “comparative” institution-based view treating factors that determine Chinese multinationals' cross-border merger and acquisition (CBMA) decisions as comparatively different for Africa to the rest of the developing world. From a panel data estimation of the number of Chinese CBMAs from 2007 to 2016, we find among market size, natural resources, strategic assets, labor productivity, and institutional governance, only natural resources and market size have a distinctive effect, with Chinese investors being more attracted to African natural resources than the African market. The drive for natural resources provides impetus for Chinese MNEs to choose CBMAs over greenfield investment, and through majority ownership to exercise control. Our inference is that Africa is “significantly” different from other developing regions, in terms of CBMAs, as Chinese multinationals have a strong motive to control access to natural resources

Non-tariff and overall protection: evidence across countries and over time

This paper analyzes the evolution of the incidence and intensity of non-tariff measures (NTMs). It extends earlier work by measuring protection from NTMs over time from a newly available database and provides evidence on the evolution of NTMs. In particular, building on Kee, Nicita and Olarreaga (2009), this paper estimates the ad valorem equivalents (AVEs) of NTMs for 97 countries at the product level over the period 1997 to 2015. We show that the incidence and the intensity of NTMs were both increasing over this period, with NTMs becoming an even more dominant source of trade protection. We are also able to investigate the evolution of overall protection derived jointly fromtariffs and NTMs. The results show that the overall protection level, for most countries and products, has not decreased despite the fall in tariffs associated with multilateral, regional and bilateral trade agreements in recent decades. We also document an increase in overall trade protection during the recent 2008 financial crisis. Overall, this study sheds light on an under-researched aspect of trade liberalization: the proliferation and increase of NTMs

The geography of Chinese science

Chinese scientific output has increased dramatically in recent years, but its internal spatial structure has received scant attention. Estimated gravity models of intercity scientific co-authorships show that there are two types of spatial political bias in China, apart from the expected mass and distance effects. Intercity co-authorships involving Beijing are more common than Beijing’s output volume and location would imply, and this Beijing bias is increasing over time. The second type of spatial political bias is greater intra-provincial collaboration than is accounted for by size and distance. The geography of Chinese science is thus not only monocentric as regards overall scientific output, but also exhibits unusually hierarchical collaboration patterns. Unlike in Europe and North America, national and regional capitals are becoming ever more important as scientific coordination centers