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This qualitative study aims to fill gaps in a widely studied and relevant organizational feature: the alignment between information technologies and business strategies.

This research is a qualitative study. The authors used focus groups, content analysis and semantic networks as research approaches to identify the main factors that prevent or foster such alignment.

Results reveal a leading role of innovation, organizational culture, access to information and financial factors that could promote or inhibit alignment and competitiveness.

This research was conducted only in small and medium organizations in Mexico, which represents about 52% of the Mexican Gross Domestic Product (for Mexico as one of the leading trade partners of the USA).

This article focusses on the hybrid strategy, a simultaneous combination of cost leadership and differentiation strategy. The study aims to examine the impact of hybrid strategy on firm performance through its anticipated positive effects on process and product innovation. In addition, we study the moderating role of adaptive capacity in the direct relationships of hybrid strategy with process and product innovation.

Structural equation modelling was used to analyse 1,842 Spanish firms with fewer than 250 employees. We randomly selected small and medium-sized enterprises (SMEs) operating in Spain from the Spanish Central Business Directory (2021) database. The overall sample design was based on stratified sampling.

We found that hybrid strategy is positively related to firm performance and to process and product innovation. Additionally, in firms implementing hybrid strategies, process innovation fostered firm performance. Finally, adaptive capacity strengthened the relationships of hybrid strategy with process and product innovation. This sheds light on how and when hybrid strategy is most effective in fostering SME performance.

We highlight that SMEs need to establish strategies that use diverse resources and capabilities and not just generate competitive advantage using one strategy (cost leadership or differentiation strategy). This requires an agile and flexible systems and structures.

Our research provides novel results by proposing the adoption of hybrid strategies instead of pure strategies (cost leadership and differentiation strategy) as a way for SMEs to survive during crises. Unlike “stuck in the middle” strategies, our study demonstrates the importance of hybrid strategies in a comprehensive model that links them to innovation and firm performance, with adaptive capacity being a determining factor.

The main objective of the study is to address the lack of sustainability assessments of smart connected health systems in the academic literature by presenting an assessment model to determine the alignment of these systems with the 17 Sustainable Development Goals (SDGs) proposed in the 2030 Agenda.

An evaluation model based on decision analysis is proposed that includes three phases: alignment framework, information gathering and assessment. This model measures the alignment of the connected health system with each of the 17 SDGs, identifying the goals and criteria associated with each SDG that the system achieves to satisfy.

The analysis reveals that the system has achieved more than 24% of the targets among the 17 SDGs. In addition, it identifies four sustainability challenges that the system potentially addresses in relation to the SDGs, providing valuable guidance for researchers and practitioners interested in sustainable health technology development.

The study's results have significant implications for policymakers and stakeholders in the health and technology sectors.

The originality of this study lies in its comprehensive approach to assessing the sustainability of connected health systems in the context of the SDGs, filling an important gap in the existing literature.

This paper aims to define the efficiency achieved by urban transport companies in Spain concerning the resources they use, considering the type of management used for implementation, public-private, and size.

This study consisted of an analysis of the efficiency of 229 public-private urban transport operators during the period 2012–2021 using Data Envelopment Analysis, the Malmquist Index and inference estimators to determine productivity, efficiency change into Pure Technical Efficiency Change (PTECH), and scale efficiency change.

Based on the efficiency analysis, the authors concluded that of the 229 companies studied, more than 35 were inefficient in all analysed periods. Considering the sample used, direct management is considered significantly more efficient. It cannot be concluded that the size of these companies influences their efficiency, as the data show unequal development behaviours in the studied years.

This study provides arguments on whether there is a significant difference between the two types of management in the urban transport sector. It also includes firm size as a study variable, which has not been previously considered in other studies related to urban transport efficiency. Efficiency should be a crucial factor in determining funding allocation in this sector, as it encourages operators to optimize and improve their services.

Given the potential for authorial fashion to lead the way in the field of sustainable fashion and digital platforms to be a powerful tool for spreading sustainable messages, this study seeks to explore the emphasis given to sustainability in the digital communication of Portuguese and Spanish’s authorial fashion.

A thematic analysis of all the posts published on the feeds of the 63 designers who presented their collections at the Madrid and Lisbon fashion weeks in September/October 2022 (Spring/Summer 2023) or February/March 2023 (Fall/Winter 2023/2024) editions was carried out. The information was collected over a six-month period between the two fashion weeks. This study is based on the categories identified in the reflexive thematic analysis developed by Testa et al. (2020). After adapting the categories to our analysis, 14 emerging themes were identified as observation criteria.

A total of 4,699 posts were examined. The analysis reveals a general lack of interest in mentioning sustainability – a subject evident in just around 6% of the content – as well as a high emphasis on the visual aspect of the fashion product. Several similarities between the Portuguese and Spanish markets were observed.

This study is important since there are few cross-cultural studies in the field of fashion between the two countries, particularly on sustainable fashion. Furthermore, it establishes a structure that is easily replicable in various markets and geographical areas.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

In this paper we ask: “What are the opportunities and challenges that creative methods pose in terms of conducting research processes with indigenous peoples impacted by emergencies and disasters?” To do that, we critically examine the creative and collaborative methodological approaches applied in the research project, Moving with Risk: Forced Displacement and Vulnerability in Colombia. This project sought to understand the trajectories of risk of families who were forcibly displaced as a result of the armed conflict in Colombia and resettled in areas at risk of disaster.

This article is intentionally written from the perspective of the researchers’ positionality. In doing so, we embrace writing that is situated and embodied in the researcher’s experiences and positionalities. This reflexive writing allows us to question the methodological experience of the research project we are analysing and, at the same time, ourselves, “the researchers” be questioned by it.

In this paper, we show how creative methods and participatory research can foster awareness and become the basis for inclusive and reciprocal research processes with indigenous communities in disaster studies. Specifically, we show that the use of creative methods helped us recognise that agency needs to be framed in collective spaces with the indigenous women we were working with and in relation to their livelihoods needs. We argue that finding spaces to conduct collaborative research and recognize agency is inextricably related to how the researchers reflect on their positionality.

This article contributes to critical perspectives in Disaster Studies and to an overall understanding of the role that creative methodologies play in research processes with people affected by disasters. It provides a novel perspective on the opportunities and challenges of applying arts-based methods in disaster risk studies with indigenous communities in Latin America.

This study aims to understand client food preferences and how pantry offerings can be optimized by those preferences.

This study develops and administers customized surveys to study three food pantries within the Second Harvest Food Bank of Northwestern North Carolina network. This study then categorizes food items by client preferences, identifies the key predictors of those preferences and obtains preference scores by fitting the data to a predictive model. The preference scores are subsequently used in an optimization model that suggests an ideal mix of food items to stock based upon client preferences and the item and weight limits imposed by the pantry.

This study found that food pantry clients prefer fresh and frozen foods over shelf-friendly options and that gender, age and religion were the primary predictors. The optimization model incorporates these preferences, yielding an optimal stocking strategy for the pantry.

This research is based on a specific food bank network, and therefore, the client preferences may not be generalizable to other food banks. However, the framework and corresponding optimization model is generalizable to other food aid supply chains.

This study provides insights for food pantry managers to make informed decisions about stocking the pantry shelves based on the client’s preferences.

An emerging topic within the humanitarian food aid community is better matching of food availability with food that is desired in a way that minimizes food waste. This is achieved by providing more choice to food pantry users. This work shows how pantries can incorporate client preferences in inventory stocking decisions.

This study contributes to the literature on food pantry operations by providing a novel decision support system for pantry managers to aid in stocking their shelves according to client preferences.