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1 – 10 of 53Sanju Tiwari, Fernando Ortiz-Rodriguez and Boris Villazon
Soraya González-Mendes, Sara Alonso-Muñoz, Fernando E. García-Muiña and Rocío González-Sánchez
This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and…
Abstract
Purpose
This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.
Design/methodology/approach
This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.
Findings
The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.
Practical implications
The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.
Originality/value
The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.
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Fernando Martín-Alcázar, Marta Ruiz-Martínez and Gonzalo Sánchez-Gardey
This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to…
Abstract
Purpose
This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.
Design/methodology/approach
The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.
Findings
The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.
Originality/value
The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.
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Carlos Fernando Ordóñez Vizcaíno, Cecilia Téllez Valle and Pilar Giráldez Puig
The aim of this paper is to analyse the spillover effects of microcredit on the economy of Ecuador, with a particular focus on its potential as a poverty alleviation mechanism.
Abstract
Purpose
The aim of this paper is to analyse the spillover effects of microcredit on the economy of Ecuador, with a particular focus on its potential as a poverty alleviation mechanism.
Design/methodology/approach
To address our research questions, we take into account the distance between cantons (Ecuador’s own administrative distribution) by adopting a spatial autoregressive (SAR) model. To this end, a database will be constructed with macroeconomic information about the country, broken down by canton (administrative division of Ecuador), and in a 2019 cross section, with a total of 1,331 microcredit operations in all 221 of Ecuador’s cantons.
Findings
We find a positive effect of microcredit on these neighbouring regions in terms of wealth generation.
Research limitations/implications
We acknowledge that this study is limited to Ecuadorian cantons. Nonetheless, it is crucial to emphasize that focussing on an under-represented developing country like Ecuador adds significant value to the research.
Practical implications
Facilitating access to microcredit is one of the main solutions to address the goals proposed in the sustainable development goals (SDGs).
Social implications
Microcredit activity contributes to the creation of value and wealth in Ecuador, exerting a spillover effect in neighbouring areas that can generate positive multiplier effects and alleviate poverty. For all of the above reasons, our proposal for the country is to support and promote microcredit as one of the main solutions to address the goals proposed in the SDGs.
Originality/value
The novelty of this study lies in the use of spatial econometrics to observe the indirect effects of microcredit on the regions bordering the canton in which it was issued, thus examining the spatial effects of microcredit on wealth distribution.
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Beatriz Forés, Alba Puig-Denia, José María Fernández-Yáñez and Montserrat Boronat-Navarro
This study adopts the dynamic capabilities perspective to analyze environmental performance in family firms and explores the moderating effects that both family involvement in the…
Abstract
Purpose
This study adopts the dynamic capabilities perspective to analyze environmental performance in family firms and explores the moderating effects that both family involvement in the Top Management Team (TMT) and long-term orientation (LTO) exert on the relationship between dynamic capabilities and environmental performance.
Design/methodology/approach
The authors test the hypotheses on a database of 748 family tourism firms, using hierarchical regression analysis.
Findings
The authors' results show that both variables have a beneficial effect on building the dynamic capabilities to be applied to improving environmental performance. However, the moderating effect of family involvement is revealed to be more complex than that of LTO. Having a high degree of family managerial involvement positively moderates the effect of dynamic capabilities on environmental performance but only in family firms with highly-developed dynamic capabilities; conversely, in family firms with lower levels of dynamic capabilities not having this family involvement in the TMT is better.
Originality/value
This study helps advance the research on Spanish family tourism firms by adopting an approach that unveils the heterogeneity in dynamic capabilities among said firms, driven by the firms' idiosyncratic features in terms of family involvement in the TMT and their LTO. The article also provides practical insights for family business owners, managers and advisors and outlines important directions for future research.
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Mirella Bezerra Garcia, Renata Magalhaes Oliveira, Mariusa Momenti Pitelli and Jose Vieira
This paper aims to propose a methodology for managerial decision-making based on scenario planning and a multi-criteria approach.
Abstract
Purpose
This paper aims to propose a methodology for managerial decision-making based on scenario planning and a multi-criteria approach.
Design/methodology/approach
The methodology consists of two stages, one referring to scenario planning and the other to multi-criteria decision-making. The methodology was applied to a company in the Brazilian agribusiness sector, aiming to help managers face the current situation of the COVID-19 pandemic.
Findings
The proposal addresses a set of simple methods for developing a scenario analysis based on different approaches. Although the methodology may allow the future addition of new, perhaps more robust strategies, the purpose of the analysis is not only to tell the decision maker which strategy should be adopted, but also to provide greater knowledge about the problem and possible scenarios.
Originality/value
The contribution of this research is to propose a structured and easily applicable methodology that can help managers in the future planning of their companies, especially when faced with complex decisions and high level of uncertainty.
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The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest…
Abstract
Purpose
The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption.
Design/methodology/approach
This research uses Google Trends to characterize the community’s interest in big data. Community interest is measured on a scale of 0–100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry.
Findings
The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%.
Originality/value
To the best of the author’s knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.
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Jorge Alcaraz, Julio Martinez-Suarez and Miguel A. Montoya
This paper aims to determine whether policy uncertainty caused by institutional decay in countries with populist rulers influences the internationalization decision of emerging…
Abstract
Purpose
This paper aims to determine whether policy uncertainty caused by institutional decay in countries with populist rulers influences the internationalization decision of emerging market firms (EMFs).
Design/methodology/approach
The study used binary logit analysis on firms from Latin American countries undertaking cross-border greenfield investment projects.
Findings
The results suggest that internationalization decision is demotivated by policy uncertainty generated by populist chief executives and promoted by that of political parties.
Originality/value
This study uses populist rhetoric to describe policy uncertainty due to chief executives and ruling parties, which influences internationalization decision by increasing anticipated transaction costs. This inquiry identifies populism as a variable that influences EMFs to internationalize, while empirically testing the claim of theoretical scholarship that populism reconfigured the sociopolitical and institutional forces that shape the world’s business. This study further advances institutional theory by offering a fresh perspective on the influence of home instead of host-country institutions on the internationalization motivation of firms due to institutional decay caused by populist regimes.
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Mattia Martini, Egidio Riva and Elisabetta Marafioti
The present study connects the literature on sustainable HRM with that on employability to investigate the relationship between sustainability-oriented human resource actions and…
Abstract
Purpose
The present study connects the literature on sustainable HRM with that on employability to investigate the relationship between sustainability-oriented human resource actions and organizational outcomes. More specifically, this study explores how training for employability affects the employer–employee relationship and employee retention. Furthermore, this study considers competitive intensity as a potential moderator in these relationships.
Design/methodology/approach
The analyses draw on the fourth European Company Survey (ECS 2019) with a sample of 21?869 firms with more than ten employees. Two separate logistic regression models were used to test the hypothesis.
Findings
The results show that training for employability contributes to improving the employer–employee relationship and that competitive intensity positively shapes this relationship. Contextually, training for employability reduces the overall employee retention of the firm.
Originality/value
Although this study supports the potential win–win nature of employability support, especially for companies that operate in competitive markets and an uncertain environment, it also highlights the existence of paradoxical sustainability tensions that should be managed by employers.
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