Articles publicats en revistes (Empresa)

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    From Collaboration to Capability: The Role of NGO Partnerships in Enhancing Operational Environmental Management
    (Elsevier, 2025-10-11) Gandra de Carvalho, Ana Catarina; Cassânego, Vitor Melão; Moralles, Herick Fernando; Nascimento, Daniel Luiz de Mattos
    This study examines how partnerships between corporations and non-governmental organizations (NGOs) are related to the development of internal environmental capabilities, with a specific focus on the effectiveness of Environmental Management Teams (EMTs). Drawing on the Dynamic Capabilities (DC) framework, we conceptualize NGO collaborations as strategic resources that enable firms to sense, seize, and transform environmental opportunities at the operational level. Using a unique dataset of over 25,000 firm-year observations across multiple countries and industries, we employ a series of econometric models, including Ordinary Least Squares (OLS), Feasible Generalized Least Squares (FGLS), hierarchical linear modeling (HLM), Propensity Score Matching (PSM), and Inverse Probability Weighting (IPW), to assess the robustness of the relationship. The results consistently show that NGO partnerships are positively and significantly associated with higher EMT scores. Furthermore, internal leadership variables such as executive ESG participation and board size are identified as essential enablers of this relationship. These findings contribute to the literature on stakeholder engagement and environmental strategy by demonstrating how external collaborations can activate internal learning mechanisms and foster the development of dynamic capabilities. The study also offers managerial insights by identifying structural conditions under which NGO partnerships are most likely to support operational environmental improvements.
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    Exploring the Impact of Industry 4.0 Information Technologies on Supply Chain Responsiveness: A Dynamic Capabilities Theory Perspective
    (Institute of Electrical and Electronics Engineers (IEEE), 2025-11-20) Iglesias-Pardo, Andrea Patricia; Moyano-Fuentes, José; Maqueira Marín, Juan Manuel; Nascimento, Daniel Luiz de Mattos
    This study presents a comprehensive review of the current literature on supply chain (SC) responsiveness capabilities enabled by Industry 4.0 (I4.0) technologies, focusing on flexibility and agility as core dimensions. A systematic literature review was conducted using the Web of Science and Scopus databases, identifying 237 studies that addressed SC flexibility and 206 that addressed agility. The findings reveal distinct interrelationships between specific I4.0 technologies and SC responsiveness capabilities, highlighting the need for an integrated perspective beyond isolated technological applications. Drawing on dynamic capabilities theory, this work proposes a novel conceptual framework that systematically maps enabling I4.0 technologies to the sensing, seizing, and transforming processes underpinning SC agility and flexibility. In doing so, the study identifies critical research gaps and offers a structured foundation for future empirical and theoretical developments. The proposed framework enhances understanding of the synergistic potential of I4.0 technologies and supports strategic decision-making in SC digital transformation.
  • Article
    Supply Chain Sustainability Performance in the Manufacturing Sector of a Developing Economy
    (Wiley, 2026-01) Alsmairat, Mohammad A. K.; Al-Chami, Riad; Garza-Reyes, Jose Arturo; Nascimento, Daniel Luiz de Mattos
    To assess supply chain (SC) sustainability performance, it is essential to understand the influence of key enablers. This study examines the impact of legal pressure, competitive pressure, internal resources and customer preferences on SC sustainability performance, with a particular focus on the mediating role of strategic direction. A quantitative survey was conducted with 390 operations managers from manufacturing sectors across Qatar, Saudi Arabia, the United Arab Emirates, Oman and Jordan. The data were analysed using partial least squares structural equation modelling (PLS-SEM). The results indicate that competitive pressure, internal resources and customer preferences significantly influence strategic direction, which in turn positively mediates their effect on sustainable supply chain (SSCM) performance. Legal pressure, however, was not found to significantly impact strategic direction, suggesting that regulatory mandates exert limited influence on manufacturing firms in the region. This study provides actionable insights for managers in developing strategic initiatives that enhance sustainability performance, particularly in contexts with constrained resources.
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    Analysing Credibility of Femvertising Campaigns: A Focus on Colombian Female Athletes
    (SAGE Publications) Sánchez Torres, Javier Alirio; López Correa, Carolina; Arroyo Cañada, Francisco Javier; Argila Irurita, Ana María; Vila Márquez, Fátima
    Advertising campaigns featuring female athletes have gained significant importance given the positive implications of gender equality, female empowerment and modern social dynamics, in which women play a crucial role, especially in Western societies. However, advertising campaigns in which female athletes are visible can be perceived by the public as false, sometimes known as woman-washing. This study explores the perception of woman-washing in femvertising-type campaigns—that is, those focused on female athletes. An empirical model is proposed and tested with partial least squares structural equation modelling. The results validate all the hypotheses, demonstrating that factors such as the public’s identification with the athlete, the fit between the athlete and the brand, and brand positioning are of great importance for the credibility of the campaign. The contributions of this paper are novel for sports marketing, femvertising and the planning of advertising campaigns.
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    Sustainability and Competitive Advantage in Small Restaurants: A Dynamic Resource–Relationship Framework
    (Emerald Publishing, 2025-12-02) Hernandez Maskivker, Gilda; Nicoara-Popescu, Doriana; Fornells Herrera, Albert
    This study examines how sustainability strategies contribute to sustained competitive advantage in small restaurants, using an integrated framework that combines the Resource-Based View (RBV), Stakeholder Theory and Dynamic Capabilities (DC). Design/methodology/approach A mixed-methods study of 128 restaurants in Barcelona assesses environmental and social sustainability commitments and analyzes how restaurant size, responsible practices and certifications relate to competitive advantage. Findings Despite limited resources, small restaurants achieve sustainable competitive advantage by strategically leveraging stakeholder trust and eco-certifications as DC, reconfiguring resources and relationships to adapt to evolving sustainability demands and market conditions. Research limitations/implications The study is context-specific to Barcelona, limiting generalizability to other regions. Practical implications Restaurant owners can strengthen sustainability performance by developing adaptive capabilities that convert certifications and stakeholder relationships into strategic assets. Policymakers should simplify eco-certification schemes and tailor them to SME needs. Social implications Strengthening stakeholder relationships can foster community engagement, promote fair labor practices and enhance social cohesion in the hospitality sector. Originality/value This study advances a hybrid framework integrating the RBV, Stakeholder Theory and DC, showing that small restaurants achieve sustainable competitive advantage from the strategic orchestration of key resources in response to evolving stakeholder and environmental pressures.
  • Article
    Purchasing attitude in the metaverse through virtual reality glasses
    (Inderscience Publishers, 2025-12-23) Sánchez Torres, Javier Alirio; Palacio-López, Sandra-Milena; Hernández-Fernández, Yuri-Lorene; Perlaza-Lopera, Carolina Marcela; Arrubla-Zapata, Juan Pablo
    New technologies focused on virtual reality (virtual reality glasses and metaverse worlds) are penetrating rapidly due to their swift development. The use of these specific technologies is becoming widespread, and brands are testing new relationships with their customers within these virtual reality worlds. The aim of this study was to exploratively analyse the adoption of these technologies by university students for shopping. The unified theory of acceptance and use of technology (UTAUT) technology adoption model was adapted, complementing it with other variables to analyse the possible behaviours of users in this novel purchasing process. The results validated all the variables of the UTAUT model, as well as other variables and their impact on the buying attitude in the metaverse using virtual reality glasses. The study provides valuable insights into the factors that influence users' attitudes towards making purchases in a metaverse using virtual reality glasses.
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    Cultural compatibility in internal knowledge transfers: an application to hotel chain growth.
    (Taylor & Francis, 2011) García-Almeida, Desiderio Juan; Bernardo Vilamitjana, Mercè; Hormiga Pérez, Esther; Valls Pasola, Jaume
    This work addresses the internal transferof knowledge from a cultural perspective when hotel chains grow. The analysis begins with an approach to the intra-organisational transfer of knowledge in hotel chain expansion. Later, culture in organisations is addressed; this gives rise to the proposal of cultural compatibility as a determinant of the intra-firm transfer of knowledge. Moreover, reference is made to possible sources of cultural incompatibility: location abroad of the new hotel, conversions where most employees stay, and small size of the new hotel. The hypotheses are tested in the Spanish hotel context. The results show effects and causes of the compatibility between the cultural context in which the knowledge to be transferred originated and the cultural framework in which it is to be implemented
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    The relationship between employee propensity to innovate and their decision to create a company
    (Emerald Publishing, 2013) Hormiga Pérez, Esther; Hancock, Connie; Valls Pasola, Jaume
    Purpose – The main objective of this paper is to analyze the relationship between employees’ propensity to innovate and cultivate entrepreneurial aspirations whilst working within an organization. This paper aims to contribute to a better understanding of this interrelation, reflecting from a theoretical point of view on the factors that influence innovative propensity and entrepreneurial intention of the paid employee working in a public sector organization and studying the role played by the opportunity cost. Design/methodology/approach – A questionnaire survey was used to collect data from 149 employees working for a public organization. In order to verify the hypotheses proffered, two multiple regression analyses were undertaken. Findings – The authors provide evidence that an understanding of the capacity that some employees have towards innovation offers an added tier of information and affords meaningful results. Their findings suggest that there is a positive impact of innovative propensity on entrepreneurial intention, and that it is stronger when combined with lower opportunity cost. Research limitations/implications – The study contributes to the field of entrepreneurship being informative for researchers interested in the antecedents of entrepreneurial intention and can also be utilized to further research in the field of human resource management and retention practices within organizations. Originality/value – This study contributes to the growing empirical literature on entrepreneurial intention from a perspective that has been hitherto largely overlooked: the employee’s perspective.
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    The relationship between the migration experience and risk perception: A factor in the decision to become an entrepreneur
    (Springer Verlag, 2014) Hormiga Pérez, Esther; Bolívar Cruz, Alicia
    This study examines the proposition that the migration experience influences perceptions of risk and, as such, the ‘migrant condition’ is a factor in explaining relatively high rates of entrepreneurship among immigrants in many host countries. The study analyses data obtained from the Global Entrepreneurship Monitor(GEM) Spain 2009 Survey with regardto perceptions of risk in beginning a new venture.The study finds that immigrants to Spain, irrespective of their originor ethnicity, are less likely than native Spaniards to perceive business creation as a risky situation. Moreover, the findings suggest that the perception of risk has a significant impact on the decision to engage in business start-up activity.
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    Analysis of the Relationship between ESG and Labour Costs: The Moderating Effect of the Legal Tradition
    (Taylor & Francis, 2025-11-27) Argilés Bosch, Josep M.; García Blandón, Josep; Ravenda, Diego
    This study examines the relationship between Environmental, Social, and Governance (ESG) scores and labor costs per employee (LCE) in firms operat- ing under different legal traditions, specifically comparing civil law (France) and common law (United Kingdom) countries. Utilizing data from the Orbis database for the period 2020–2022, the study employs random-effects estimations with robust standard errors. Results indicate that while the relationship between ESG and LCE is not significant in common law, it is positively significant in civil law. Results are robust to alternative ESG measures, such as the social pillar score (SOCP) estimations methods and samples. The findings suggest that the legal tradition moderates the ESG-LCE relationship, with stronger positive effects ob- served in civil law countries. The study highlights the importance of legal frame- works in shaping the economic impacts of ESG initiatives on labor costs. While ESG concerns may result in higher LCE, and thus increased employee compensa- tion, implementing appropriate regulations to protect workers’ rights can foster a more effective ESG-LCE relationship than relying solely on market-based regu- latory systems driven by stakeholder influence.
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    More than 20 years of scientific production on sensory/experiential marketing scales and instruments
    (Emerald Publishing, 2025-12-15) Xancó Grau, Sílvia; Vizuete Luciano, Emilio; Vila Márquez, Fátima; Merigó Lindahl, José María
    Purpose – The growing interest in sensory and experiential marketing, along with extensive research in recent decades, highlights the need to summarize the existing literature. One of the least explored aspects is that, since experience is a complex construct to assess or measure, specific instruments must be developed to accurately capture it. Design/methodology/approach – A total of 60 relevant articles, published between 2001 and 2023, were collected from academic databases such as WOS and Scopus, among others, and analyzed. Findings – Our research concludes that sensory experiences are critical factors in understanding consumer decision-making. Originality/value – The analysis was conducted using bibliometric indicators, such as authorship and year of publication, as well as the dimensions and types of scales or measurement instruments used.
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    The role of perceived human resource management practices in organizational citizenship behaviors: Evidence from the healthcare sector 
    (Emerald Publishing, 2025-01-24) Mach, Mercè; Abrantes, António Cunha Meneses; Alvarado, Juan Rodrigo
    This study aims to explain the effects of perceived HRM practices on employees’ attitudinal and behavioral responses, specifically, how perceived HRM practices influence organizational citizenship behavior (OCB)
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    Systemic Risk in the Lithium and Copper Value Chains: A Network-Based Analysis Using Euclidean Distance and Graph Theory
    (MDPI, 2025-12-01) Cortés Rufé, Marc; Yu, Yihao; Marti Pidelaserra, Jordi
    The global push for electrification and decarbonization has sharply increased demand for critical raw materials—especially lithium and copper—heightening financial and strategic pressures on firms that lead these supply chains. Yet, the systemic financial risks arising from inter-firm interdependencies in this sector remain largely unexplored. This article presents a novel distance-based network framework to analyze systemic risk among the world’s top 15 lithium and copper producers (2020–2024). Firms are represented through standardized vectors of profitability and risk indicators (liquidity–solvency), from which we construct a two-layer similarity network using Euclidean distances. (...)
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    Linked data to streaming data sensors sources for direct access
    (Associação Brasileira de Engenharia de Produção, 2024-01-24) Calvetti, Diego; Nascimento, Daniel Luiz de Mattos; Araújo Filho, Flávio; Abreu, Rafael; Papadopoulos, Nicolas
    Goal: Industrial operations are complex, and data sensors assure safety and reliable information for production improvements. Multiple stakeholders can take advantage of data acquisition for post-analysis and process control. Providing users and systems with friendly access to operating data is fundamental to the digital transition in the industry 4.0 scenario. Linking data and systems over ontologies and Industry Foundation Classes will boost supply chain performance in many layers. This paper presents the concept of valid data points over Uniform Resource Identifiers for sensor time-series into triples stores via Application Programming Interfaces. (...)
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    Can Bitcoin trigger speculative pressures on the US Dollar? A novel ARIMA-EGARCH-Wavelet Neural Networks
    (Elsevier , 2024-10-15) Alaminos Aguilera, David; Salas Compas, M. Belén; Fernández‑Gámez, Manuel A.
    In recent years, Bitcoin has garnered attention as a digital currency, prompting increasing debate regarding its effects on traditional financial markets, particularly the US dollar. This study investigates the relationship between Bitcoin and the US dollar, especially in the contexts of speculative attacks, where investors attempt to devalue a currency, and short squeezes, where rapid price rises force short sellers to quickly buy back assets to avoid further losses. The study employs a novel hybrid model combining an autoregressive moving average, Generalized Autoregressive Conditional Heteroskedasticity, and Wavelet Neural Networks techniques with neural networks approaches. The results suggest that significant trading activity in Bitcoin/US dollar, particularly during speculative attacks and short squeezes, can substantially impact the US dollar/EUR market, increasing price volatility as traders adjust their strategies. These adjustments, along with risk management strategies, drive higher trading volumes and further volatility. Our findings demonstrate that our novel hybrid model combined with Quantum Recurrent Neural Networks provides the most accurate predictions, offering valuable insights to inform trading strategies in both Bitcoin/US dollar and US dollar/EUR markets. This study has important implications for policymakers and market participants, emphasising the need to understand the relationship between Bitcoin and the US dollar for financial stability and effective policy formulation. It also highlights the necessity of advanced modeling techniques to accurately predict cryptocurrency market behavior.
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    Attachment and (in)securities: Threats to the notion of rootedness in neighbourhood space in Barcelona
    (Elsevier B.V., 2025-06-01) Crespi Vallbona, Montserrat; López Villanueva, Cristina
    Lockdown due to Covid-19 reinforced the notion of proximity in the provision of well-being and the everydaycare. The limitations on mobility meant the (re)discovery of neighbourhood life and of fellow residents. (...)
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    The impact of board gender quotas on analyst recommendations: A difference-in-differences analysis
    (Asociación Española de Profesores Universitarios de Contabilidad, 2025-01-02) García Blandón, Josep; Argilés Bosch, Josep M.; Ravenda, Diego
    Norway provides the study case for the investigation of the effects of board gender quotas on corporate outcomes. The debate that ultimately led to the enactment of the quota was heated and polarized, with quota opponents arguing that the inability of the owners of the firm to choose the best candidates for the board (regardless of their gender) will result in poorly managed firms. Although several articles have empirically examined the impact of the Norwegian gender quota on performance, the available evidence is inconclusive. These articles use the return on assets and/or Tobin’s Q as indicators of performance. The present study contributes to the literature by providing a new and complementary approach to this research topic. With this aim, we investigate the impact of board gender quotas on analysts’ perceptions of performance, as measured by investment recommendations. The research design adopts a difference-in-differences methodology coupled with fixed-effects panel data estimations. Results document that recommendations on Norwegian stocks did not change significantly after the enactment of the quota. This result is robust, as it holds across a variety of sensitivity analyses and checks.
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    Mapping the evolution of ethical standards in trading: A bibliometric analysis
    (Elsevier, 2024-11-01) Guillen Pujadas, Miguel; Alaminos Aguilera, David; Vizuete Luciano, Emilio; Callejón-Gil, Angela M.; Merigó Lindahl, José M.
    Amid concerns about financial social responsibility, the significance of ethical standards in trading has grown. Recent years have seen increased focus on exploring diverse ethics in trading, from fundamental principles to cutting-edge techniques. Our objective is to shed light on the state of ethics in trading through a comprehensive bibliometric analysis of 3010 research articles published between 1976 and 2022, drawing data from the Web of Science Core Collection (WoS). (...)
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    The Interplay of Author and Editor Gender in Acceptance Delays: Evidence from Accounting Journals
    (Elsevier B.V., 2025-03-01) Argilés Bosch, Josep M.; Kasperskaya, Yulia; García Blandón, Josep; Ravenda, Diego
    The objective of this study is to examine the impact of the gender of editors and authors, as well as their interaction, on acceptance delays (ACCDEL) of articles. We focus on genders of the corresponding author and the editor overseeing the manuscript. Using data from three top accounting journals from 2015 to 2020, we conduct a regression analysis to test the hypotheses regarding longer ACCDEL for articles under female editorship or authors, those with gender-opposite editor-author pairs, and those with coincident genders editor-author pairs. We find that when the genders of editors and corresponding authors differ, there is a significant increase in ACCDEL compared to submissions where the genders of editors and corresponding authors match. Our results suggest the existence of a prevalent gender homophily effect.
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    Applying knowledge transfer in data augmentation to improve online advertising performance of entrepreneurs
    (Elsevier B.V., 2025-11-01) Huertas García, Rubén; Sáez Ortuño, Laura; Forgas Coll, Santiago; Sánchez García, Javier
    Artificial intelligence (AI) is transforming the way businesses operate, enabling entrepreneurs to achieve diagnoses that were once only possible for large companies. This transformation is evident in digital advertising, where AI not only enables advanced analytics, but also offers the possibility of developing creative designs at low cost. However, this technological progress contrasts with predictions of a slowdown in online advertising in the coming years. Thus, entrepreneurs must change their strategies to overcome the defensive positions of competitors. This study proposes the combination of AI analytical algorithms (XGBoost) with data augmentation algorithms (SMOTE) to improve targeting accuracy when launching online communication campaigns. Specifically, a case study illustrates how a lead-gathering company uses these algorithms to profile five market segments (hearing aids, NGOs, energy distributors, telecommunications and finance). Subsequently, a field experiment was conducted with one of the products, solar panels, to assess external validity. The results reveal that the combination of both algorithms improves internal validity for four of the five products, and the field experiment confirms the external validity of the energy product. Finally, recommendations on the use of these tools are proposed to entrepreneurs.