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PurposeThis study builds on the panarchy theory by viewing the supply chain as a socio-ecological system and further expands it by considering the within-level linkages internal to the supply chain level. Three types of linkages are considered: the two cross-level linkages with the planetary and the political-economic levels and the supply chain within-level linkages. The research questions are addressed using the data gathered by the Carbon Disclosure Project within its Supply Chain Programme.Design/methodology/approachThis work aims to study, applying the lens of panarchy theory, how the planetary and the political-economic levels affect the supply chain within-level linkages for sustainability. Furthermore, the difference in how these cross-level linkages influence focal firms and first-tier suppliers is explored.FindingsThe results show that considering the planetary-supply chain linkage, climate change risk exposure is likelier to foster within-level linkages with buyers than with suppliers. Further, climate change mitigation investments have different roles in the different tiers: focal firms are pushed to strengthen the linkages with their suppliers when they lose efficacy in improving their carbon performance, whereas first-tier suppliers exploit investments to gain legitimacy. Discussing the political-economic level effect, perceptions from first-tier suppliers could be two-fold: they could perceive a mandating power mechanism or exploit policymakers' knowledge to advance their capabilities.Originality/valueThe results contribute to the sustainable supply chain management literature by providing empirical evidence of the cross-level linkages theorised by the panarchy theory. Moreover, the concept of within-level linkages is proposed to apply the theory in this field.

PurposeThe purpose of this paper is to introduce and define the concept of purchasing ambidexterity in terms of two dimensions: balance dimension and combined dimension. The study proceeds to empirically examine the multiple performance effects generated for the buying firm and its key suppliers.Design/methodology/approachAmbidexterity theory informs the authors' conceptual model. To test the hypotheses, the authors collected survey data from 95 purchasing functions of medium and large European firms and applied various estimation techniques.FindingsThis research indicates that ambidexterity substantially varies across purchasing functions. Further, it discovers that a purchasing function's ability to advance the combined magnitude of exploratory and exploitative activities represents an essential determinant of supplier efficiency, supplier product innovation, and buyer financial performance. Notably, this research also discovers that balancing the magnitudes of exploratory and exploitative activities on a relative basis produces negative effects on the innovativeness of the supply network.Originality/valueAlthough ambidexterity theory has been applied to supply chain management, limited attention has been dedicated to purchasing ambidexterity. This gap led us to study how purchasing impacts the competitiveness of the buying firm and of its supply network by balancing and combining exploratory and exploitative activities. This research is the first to advance the notion of purchasing ambidexterity, unpack its underlying dimensions, and examine its multiple performance implications. Such a conceptual and empirical development presents new perspectives on how purchasing can help the buying firm and its supply network to strengthen their competitiveness.

PurposeIn many industrial contexts, firms are encountering increasingly uncertain demand. Numerous factors are driving this phenomenon; however, a major change that is spreading among different sectors is the ever‐growing attention to customers. Companies have identified that customers are critical not only because they directly influence the success of specific products or firms, but also because they play a fundamental role in many internal processes. Although the role of customers in business processes has been deeply analysed, the issue of demand forecasting and the role of customers has not been fully explored. The present study aims to examine the impact of heterogeneity of customer requests on demand forecasting approaches, based on three action research cases. Based on the analysis of customer behaviour, an appropriate methodology for each case is designed based on clustering customers according to their demand patterns.Design/methodology/approachObjectives are achieved by means of three action research case studies, developed in cooperation with three different companies. The paper structures a general methodology based on these three experiences to help managers in better dealing with uncertain demand.FindingsBy means of proper analysis of customers' heterogeneity and by using simple statistical techniques such as cluster analysis, forecasting performance can significantly improve. In these terms, this work claims that focusing on customers' heterogeneity is a relevant topic both for practitioners and researchers.Originality/valueThe paper proposes some specific guidelines to forecast demand where customers' differences impact significantly on demand variability. In these terms, results are relevant for practitioners. Moreover, the paper claims that this issue should be better analysed in future researches and proposes some guidelines for future works.

PurposeIn 2003 the authors investigated the level of adoption of e‐business by manufacturing firms in Europe. Four company strategies were identified based on different extents of adoption of internet‐based tools for interaction with customers and/or suppliers. The purpose of this paper is to replicate, those analyses using the new release of the International Manufacturing Strategy Survey (IMSS) IV. These new results are compared with previous ones in order to determine whether modeling previously described in the literature remains valid.Design/methodology/approachData collected in Europe through IMSS III and IV are used. In particular, companies are clustered according to e‐business practices adopted in supply chain management (SCM) and the degree of adoption of e‐business between the two editions of the research is compared. A longitudinal analysis is also conducted using data from companies participating in both editions of the survey.FindingsIt is shown that the fundamental aspects of the modeling approach earlier proposed in the literature remain valid, with a higher average level of adoption of e‐business tools in the more recent edition of the study. However, the four‐cluster model is shown to be no longer valid. In the more recent dataset, three clusters emerge. They are characterized by different levels of adoption of e‐business, balanced between e‐commerce and e‐procurement. The longitudinal analysis shows that the firms participating in both editions of the research have changed their strategy, coherently to what the overall sample does.Research limitations/implicationsThis paper is focused on the assembly industry and only part of the sample is strictly longitudinal. Further research is needed to relate e‐business strategy with performance and to distinguish among the various tools available.Practical implicationsThis paper also shows that the adoption of e‐business is increasing among small and medium firms, even if the practices adopted by any individual company remain limited. Results show that a cautious adoption is preferable to more radical implementation, since some firms have actually reduced their initial efforts to adopt e‐business.Originality/valueThe literature currently lacks extensive, longitudinal studies on e‐business strategies in SCM. The paper shows how the concept has rapidly evolved recently, and it modifies models that are proposed only a few years ago in the face of new data.