Search results

Decision-making structures are commonly associated with the logistics challenges experienced during disaster operations. However, the alignment between the operational level and the decision-making structure is commonly overlooked. The purpose of this paper is to provide an analysis of the fit of both levels and its impact on performance.

The research is developed around a case study in Mexico. Through a review of the disaster management policy in the country, interviews and secondary data, the paper provides an analysis of the current decision-making structure, the logistics activities undertaken by authorities and the impact of the alignment between both components on logistics performance.

The analysis suggests that several of the challenges commonly associated with centralisation are actually rooted on its alignment with the operational level. The logistics performance is negatively affected by faulty assumptions, poorly planned procedures, inconsistent decision-making and poorly designed structures. The case showed the need to align the operational level with a centralised perspective to increase responsiveness, flexibility and the interaction between different organisations.

This paper identifies the impact of the misalignment between the decision-making structure and the operational level on logistics performance, an area currently understudied. It moves from the current argument about the appropriate decision-making structure for disaster management to the identification of components to implement an efficient and effective disaster management system. Additionally, this paper provides recommendations for best practices in humanitarian logistics, which are applicable to Mexico and other countries using a centralised decision-making approach.

Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).

The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.

The analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.

The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.

The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.

The implementation of Smart Manufacturing (SM) is deemed a key enabler in the enhancement of manufacturing competitiveness and performance. Nevertheless, SM's repercussion on consumer perceptions and the contextualization of SM's performance-enhancement effects remain undetermined and have yet to be clarified. This study analyzes the effect of SM on operational and customer performance. Moreover, this study explores how these relationships change depending on a firm's geography of production (i.e. national/local vs transnational operations) and the relational arrangement adopted (i.e. service-oriented vs transaction-oriented manufacturers).

This research surveys 351 Spanish manufacturing firms operating in an SM environment. The theoretical framework comprises a Multiple-Indicators Multiple-Causes (MIMIC) model and is tested using a Generalized Structural Equations Model.

The results obtained substantiate the positive effect of SM implementation on both of the performance measures analyzed (i.e. operational and customer focused). Moreover, the study reveals that while geography of production moderates the effect on a firm's operational performance, relational arrangement also does so in terms of customer performance.

This research clearly differentiates the benefits of SM depending on business context. In this regard, transnational production firms tend to gain in operational performance while service-oriented manufacturers gain in customer performance.