Pub Date : 2023-09-01DOI: 10.1108/ejmbe-08-2022-0264
Melany Hebles, Concepción Yániz-Álvarez-de-Eulate, L. Villardón-Gallego
PurposeThe debriefing is a procedure based on intra-team feedback, which has frequently been applied in university formation in health but has been less used in business. The aim of this research is to analyse best practices in the actual implementation of debriefing in organisations, based on criteria the guidelines for carrying out each stage established in the procedure.Design/methodology/approachTo achieve these goals, working teams from different organisations carried out 19 group-debriefing sessions on an authentic work problem. These sessions were observed and analysed following a qualitative approach.FindingsAfter observing a debriefing session in 19 organisations, four categories related to its implementation have been identified: Self-analysis, information, planning and orientation of the development of the team.Research limitations/implicationsIt is important to mention some limitations to this work. The major limitation was the lack of published literature related to the debriefing in the area of organisational management. The qualitative and exploratory nature of the study limits the generalisation of the results.Practical implicationsThe research has practical implications as the characterisation and description of each phase favours the transfer to implement the debriefing technique adequately in different types of organisations.Social implicationsIt has been observed that all forms of debriefing have a common purpose in learning and, team and employee development, due to the powerful transferability and usefulness of debriefing in different contexts. Therefore, knowing the correct use of debriefing is a breakthrough in this area. In addition, including this type of practice will not just facilitate a better performance, it will also help teams to learn to work in a team from their own experiences.Originality/valueIt has been characterised by the process of debriefing from the correct implementation of each phase through the analysis of the narratives that arise in the debriefing sessions carried out.
{"title":"How to carry out organisational debriefing for team learning","authors":"Melany Hebles, Concepción Yániz-Álvarez-de-Eulate, L. Villardón-Gallego","doi":"10.1108/ejmbe-08-2022-0264","DOIUrl":"https://doi.org/10.1108/ejmbe-08-2022-0264","url":null,"abstract":"PurposeThe debriefing is a procedure based on intra-team feedback, which has frequently been applied in university formation in health but has been less used in business. The aim of this research is to analyse best practices in the actual implementation of debriefing in organisations, based on criteria the guidelines for carrying out each stage established in the procedure.Design/methodology/approachTo achieve these goals, working teams from different organisations carried out 19 group-debriefing sessions on an authentic work problem. These sessions were observed and analysed following a qualitative approach.FindingsAfter observing a debriefing session in 19 organisations, four categories related to its implementation have been identified: Self-analysis, information, planning and orientation of the development of the team.Research limitations/implicationsIt is important to mention some limitations to this work. The major limitation was the lack of published literature related to the debriefing in the area of organisational management. The qualitative and exploratory nature of the study limits the generalisation of the results.Practical implicationsThe research has practical implications as the characterisation and description of each phase favours the transfer to implement the debriefing technique adequately in different types of organisations.Social implicationsIt has been observed that all forms of debriefing have a common purpose in learning and, team and employee development, due to the powerful transferability and usefulness of debriefing in different contexts. Therefore, knowing the correct use of debriefing is a breakthrough in this area. In addition, including this type of practice will not just facilitate a better performance, it will also help teams to learn to work in a team from their own experiences.Originality/valueIt has been characterised by the process of debriefing from the correct implementation of each phase through the analysis of the narratives that arise in the debriefing sessions carried out.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43473771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-21DOI: 10.1108/ejmbe-03-2022-0074
Jesica Yanet Perez Benegas, Marina Zanfardini
PurposeThe purposes of the present study were to analyse: (1) if there is a hierarchical relationship between cognitive dimension (attention) and emotional dimension (enthusiasm); (2) to what extent the cognitive and emotional dimensions of the customer engagement (CE) affect loyalty to consumer brands in traditional settings and in social media; and (3) if involvement moderates the relationships between cognitive and emotional dimensions of CE and between each CE dimension and the two kinds of loyalties (offline and social media).Design/methodology/approach The authors applied structural equation model on a sample of 272 passengers of main airlines operating the domestic Argentinian market in 2018. The authors also used multigroup analysis to combine involvement as a moderator variable.Findings Cognitive dimensions of engagement (attention) had a direct and positive effect on the emotional engagement (measured by enthusiasm). Capturing the attention of passengers is key to maintaining their loyalty both in offline and online environments, especially if they are lowly involved with brands.Research limitations/implications The present study suggests and tests a model for the consequences of CE as a multidimensional construct in a specific service context.Originality/value Following the attitude formation approach and the hierarchy of effect of advertising theory, this study researched the dynamic of relationship between cognitive and emotional dimensions of CE. The results contribute on the line of considering CE as a process, including stages that consumers go through until they achieve the engagement with the brand. The results offer evidence of the specific impact of each CE dimension on loyalty at two environments (offline and social media).
{"title":"Customer engagement and loyalty: the moderating role of involvement","authors":"Jesica Yanet Perez Benegas, Marina Zanfardini","doi":"10.1108/ejmbe-03-2022-0074","DOIUrl":"https://doi.org/10.1108/ejmbe-03-2022-0074","url":null,"abstract":"PurposeThe purposes of the present study were to analyse: (1) if there is a hierarchical relationship between cognitive dimension (attention) and emotional dimension (enthusiasm); (2) to what extent the cognitive and emotional dimensions of the customer engagement (CE) affect loyalty to consumer brands in traditional settings and in social media; and (3) if involvement moderates the relationships between cognitive and emotional dimensions of CE and between each CE dimension and the two kinds of loyalties (offline and social media).Design/methodology/approach The authors applied structural equation model on a sample of 272 passengers of main airlines operating the domestic Argentinian market in 2018. The authors also used multigroup analysis to combine involvement as a moderator variable.Findings Cognitive dimensions of engagement (attention) had a direct and positive effect on the emotional engagement (measured by enthusiasm). Capturing the attention of passengers is key to maintaining their loyalty both in offline and online environments, especially if they are lowly involved with brands.Research limitations/implications The present study suggests and tests a model for the consequences of CE as a multidimensional construct in a specific service context.Originality/value Following the attitude formation approach and the hierarchy of effect of advertising theory, this study researched the dynamic of relationship between cognitive and emotional dimensions of CE. The results contribute on the line of considering CE as a process, including stages that consumers go through until they achieve the engagement with the brand. The results offer evidence of the specific impact of each CE dimension on loyalty at two environments (offline and social media).","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48803912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-18DOI: 10.1108/ejmbe-07-2022-0215
Marisol Carvajal-Camperos, P. Almodóvar
PurposeThe purpose of this study is to identify papers that have produced the most significant impact on research on strategic alliances in the biotechnology industry. The authors attempt to illustrate the thematic evolution of its intellectual structure through 616 papers published between 1992 and 2021.Design/methodology/approachThe present research methodology relies on three distinct techniques, implemented using SciMat software: (1) bibliometric techniques, (2) scientific map analysis and (3) content analysis of research documents from the Web of Science (WoS). In this manner, the authors analyse the intellectual structure of the field of strategic alliances in the biotechnology industry, tracking its evolution over a period of three decades.FindingsThe study emphasises the relevance of “innovation” as a key theme and identifies several potential areas for future research, which could serve as a foundation for further investigations.Originality/valueThis study represents a novel contribution to the literature as it is the first to use the SciMat tool to analyse strategic alliances in the biotechnology industry. This research reveals that while strategic alliances have been assessed extensively across various industries, some topics, such as the types and formation of alliances, have not been specifically studied in the biotechnology industry. These areas as well as the barriers and variables influencing the formation of alliances offer promising avenues for future research in this field.
{"title":"Tracking the literature on strategic alliances in the biotechnology industry: insights from a bibliometric approach over the last 30 years","authors":"Marisol Carvajal-Camperos, P. Almodóvar","doi":"10.1108/ejmbe-07-2022-0215","DOIUrl":"https://doi.org/10.1108/ejmbe-07-2022-0215","url":null,"abstract":"PurposeThe purpose of this study is to identify papers that have produced the most significant impact on research on strategic alliances in the biotechnology industry. The authors attempt to illustrate the thematic evolution of its intellectual structure through 616 papers published between 1992 and 2021.Design/methodology/approachThe present research methodology relies on three distinct techniques, implemented using SciMat software: (1) bibliometric techniques, (2) scientific map analysis and (3) content analysis of research documents from the Web of Science (WoS). In this manner, the authors analyse the intellectual structure of the field of strategic alliances in the biotechnology industry, tracking its evolution over a period of three decades.FindingsThe study emphasises the relevance of “innovation” as a key theme and identifies several potential areas for future research, which could serve as a foundation for further investigations.Originality/valueThis study represents a novel contribution to the literature as it is the first to use the SciMat tool to analyse strategic alliances in the biotechnology industry. This research reveals that while strategic alliances have been assessed extensively across various industries, some topics, such as the types and formation of alliances, have not been specifically studied in the biotechnology industry. These areas as well as the barriers and variables influencing the formation of alliances offer promising avenues for future research in this field.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48508608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-13DOI: 10.1108/ejmbe-12-2022-0374
A. Irimia-Diéguez, F. Liébana-Cabanillas, A. Blanco-Oliver, Juan Lara-Rubio
PurposeTraditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.Design/methodology/approachTo achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.FindingsThe results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.Originality/valueThis research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.
{"title":"What drives consumers to use P2P payment systems? An analytical approach based on the stimulus–organism–response (S-O-R) model","authors":"A. Irimia-Diéguez, F. Liébana-Cabanillas, A. Blanco-Oliver, Juan Lara-Rubio","doi":"10.1108/ejmbe-12-2022-0374","DOIUrl":"https://doi.org/10.1108/ejmbe-12-2022-0374","url":null,"abstract":"PurposeTraditional payment systems based on cash and bank cards are being replaced by new innovative formats. This research analyzes the success factors in the adoption by customers of Bizum, a peer-to-peer (P2P) mobile payment system widely used in Spain. This study proposes a theoretical framework based on the Stimulus–Organism–Response (S-O-R) model and includes the analysis of the moderating effect of perceived risk and the mediating effect of perceived trust.Design/methodology/approachTo achieve the proposed objectives, an online questionnaire was administered to 701 Spanish smartphone users, potential users of the proposed P2P payment systems.FindingsThe results show that perceived usefulness is the most important predictor of intention to use. Additionally, a medium predictive relevance performance of the proposed model is found.Originality/valueThis research contributes to a more holistic understanding of the adoption of P2P payment systems and provides new business opportunities that companies can exploit through the use of this technology.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42778277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.1108/ejmbe-04-2022-0099
P. Akorsu
PurposeCredit Default Swap (CDS) trading alters equilibrium interactive monitoring of external corporate monitors due to a possible change in private lenders' incentive to monitor client firms. This study explores how audit fees change in response to CDS trade initiation on client firms and how this effect is moderated by investor protection.Design/methodology/approachWith 6,052 cross-country firm observations, the author conducts estimations in the systems dynamic general methods of moments framework.FindingsThe author documents that audit fees rise on average after CDS trade initiations with and/or without investor protection. Meanwhile, change in auditors' risk perception result in increased audit costs when CDS trade initiation and investor protection interact. The effect of CDS trading on audit fees remain after controlling for firm, audit, and auditor features are robust to different proxies of audit cost.Practical implicationsThe need for firms in high investor protection jurisdictions to initiate CDS trade to implement policies in order to maximize their gains from investor protection activities to lessen the overall impact of any increased audit cost that may arise. Furthermore, CDS regulation may be strategically targeted to lessen the effect of increased audit costs on firms after initiation. This would ensure that the resulting increase in audit cost may not materially impact the cash or profitability position of such firms.Originality/valueThis study is distinct from previous ones by focusing on variation in private lenders incentive to monitor after CDS trade initiation after controlling for possible monitoring by short-term creditors. Given that monitoring is not costless for private lenders and CDS trading on their borrowers causes a change in this cost structure, the author documents how auditors react to such changes in incentive to monitor.
{"title":"Credit default swaps, investor protection, and audit cost: international evidence","authors":"P. Akorsu","doi":"10.1108/ejmbe-04-2022-0099","DOIUrl":"https://doi.org/10.1108/ejmbe-04-2022-0099","url":null,"abstract":"PurposeCredit Default Swap (CDS) trading alters equilibrium interactive monitoring of external corporate monitors due to a possible change in private lenders' incentive to monitor client firms. This study explores how audit fees change in response to CDS trade initiation on client firms and how this effect is moderated by investor protection.Design/methodology/approachWith 6,052 cross-country firm observations, the author conducts estimations in the systems dynamic general methods of moments framework.FindingsThe author documents that audit fees rise on average after CDS trade initiations with and/or without investor protection. Meanwhile, change in auditors' risk perception result in increased audit costs when CDS trade initiation and investor protection interact. The effect of CDS trading on audit fees remain after controlling for firm, audit, and auditor features are robust to different proxies of audit cost.Practical implicationsThe need for firms in high investor protection jurisdictions to initiate CDS trade to implement policies in order to maximize their gains from investor protection activities to lessen the overall impact of any increased audit cost that may arise. Furthermore, CDS regulation may be strategically targeted to lessen the effect of increased audit costs on firms after initiation. This would ensure that the resulting increase in audit cost may not materially impact the cash or profitability position of such firms.Originality/valueThis study is distinct from previous ones by focusing on variation in private lenders incentive to monitor after CDS trade initiation after controlling for possible monitoring by short-term creditors. Given that monitoring is not costless for private lenders and CDS trading on their borrowers causes a change in this cost structure, the author documents how auditors react to such changes in incentive to monitor.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43207611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-11DOI: 10.1108/ejmbe-10-2022-0320
C. Nicolás, Angélica Urrutia, Gonzalo González
PurposeExplore the use of Gender-Fair Language (GFL) by influencers on Instagram.Design/methodology/approachThe clustering methodology. A digital Bag-of-Words (BoW) Method called GFL Clustering BoW Methodology to identify whether an inclusive marketing (IM) strategy can be used. Thus, this research has a methodological and practical contribution to increasing the number of marketing technology tools.FindingsThis study is original as it proposes an inclusive digital marketing strategy and contributes with methods associated with digital transfers in order to improve marketing strategies, tactics and operations for inclusive content with a data integrity approach.Research limitations/implicationsDue to the limitations of the application programming interface (API) of the social network Instagram, a limited number of text data were used, which allowed for retrieving the last 12 publications of each studied profile. In addition, it should be considered that this study only includes the Spanish language and is applied to a sample of influencers from Chile.Practical implicationsThe practical contribution of this study will lead to a key finding for the definition of communication strategies in both public and private organizations.Originality/valueThe originality of this work lies in its attractive implications for nonprofit and for-profit organizations, government bodies and private enterprises in the measurement of the success of campaigns with an IM communicational strategy and to incorporate inclusive and non-sexist content for their consumers so as to contribute to society.
{"title":"Exploring the use of gender-fair language by influencers","authors":"C. Nicolás, Angélica Urrutia, Gonzalo González","doi":"10.1108/ejmbe-10-2022-0320","DOIUrl":"https://doi.org/10.1108/ejmbe-10-2022-0320","url":null,"abstract":"PurposeExplore the use of Gender-Fair Language (GFL) by influencers on Instagram.Design/methodology/approachThe clustering methodology. A digital Bag-of-Words (BoW) Method called GFL Clustering BoW Methodology to identify whether an inclusive marketing (IM) strategy can be used. Thus, this research has a methodological and practical contribution to increasing the number of marketing technology tools.FindingsThis study is original as it proposes an inclusive digital marketing strategy and contributes with methods associated with digital transfers in order to improve marketing strategies, tactics and operations for inclusive content with a data integrity approach.Research limitations/implicationsDue to the limitations of the application programming interface (API) of the social network Instagram, a limited number of text data were used, which allowed for retrieving the last 12 publications of each studied profile. In addition, it should be considered that this study only includes the Spanish language and is applied to a sample of influencers from Chile.Practical implicationsThe practical contribution of this study will lead to a key finding for the definition of communication strategies in both public and private organizations.Originality/valueThe originality of this work lies in its attractive implications for nonprofit and for-profit organizations, government bodies and private enterprises in the measurement of the success of campaigns with an IM communicational strategy and to incorporate inclusive and non-sexist content for their consumers so as to contribute to society.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48151627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-04DOI: 10.1108/ejmbe-03-2023-0085
D. Marino, Jaime Gil Lafuente, D. Tebala
PurposeThe objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.Design/methodology/approachThe use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.FindingsIn the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.Originality/valueThe description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.
{"title":"Innovations and development of artificial intelligence in Europe: some empirical evidences","authors":"D. Marino, Jaime Gil Lafuente, D. Tebala","doi":"10.1108/ejmbe-03-2023-0085","DOIUrl":"https://doi.org/10.1108/ejmbe-03-2023-0085","url":null,"abstract":"PurposeThe objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.Design/methodology/approachThe use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.FindingsIn the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.Originality/valueThe description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45501841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1108/ejmbe-02-2022-0041
Margarida Seara, Teresa Proença, Marisa R. Ferreira
PurposeThe purpose of this study is to understand the impact that Corporate Social Responsibility (CSR) practices have on the perceived attractiveness of companies in the eyes of their employees and potential candidates. Moreover, this study assesses the mediation role that Extrinsic (EA) and Intrinsic Attributions (IA) about Corporate Volunteering (CV) have on this relationship.Design/methodology/approachThree hundred and five responses were collected in an online questionnaire and a Structural Equation Modelling model was designed to explain the proposed relationships of the variables under study.FindingsThe authors found that the IA that employees/candidates make about CV programs have a direct and positive impact on the company’s attractiveness; it was not possible to conclude the same about EA.Originality/valueUnlike studies already existing in the area of corporate attractiveness that focus on the perspective of companies and customers, with a high focus on the organizational implementation of CSR and organizational benefits, this study has adopted a different perspective that focuses on the opinion of company employees, as well as the perspective of possible candidates. By not limiting participation to anyone, it covers a wide range of participants, allowing a broader knowledge of the labor market.
{"title":"Do corporate social responsibility practices have an impact on employer attractiveness – an approach to corporate volunteering programs","authors":"Margarida Seara, Teresa Proença, Marisa R. Ferreira","doi":"10.1108/ejmbe-02-2022-0041","DOIUrl":"https://doi.org/10.1108/ejmbe-02-2022-0041","url":null,"abstract":"PurposeThe purpose of this study is to understand the impact that Corporate Social Responsibility (CSR) practices have on the perceived attractiveness of companies in the eyes of their employees and potential candidates. Moreover, this study assesses the mediation role that Extrinsic (EA) and Intrinsic Attributions (IA) about Corporate Volunteering (CV) have on this relationship.Design/methodology/approachThree hundred and five responses were collected in an online questionnaire and a Structural Equation Modelling model was designed to explain the proposed relationships of the variables under study.FindingsThe authors found that the IA that employees/candidates make about CV programs have a direct and positive impact on the company’s attractiveness; it was not possible to conclude the same about EA.Originality/valueUnlike studies already existing in the area of corporate attractiveness that focus on the perspective of companies and customers, with a high focus on the organizational implementation of CSR and organizational benefits, this study has adopted a different perspective that focuses on the opinion of company employees, as well as the perspective of possible candidates. By not limiting participation to anyone, it covers a wide range of participants, allowing a broader knowledge of the labor market.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42011979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-26DOI: 10.1108/ejmbe-08-2022-0255
İpek Akad, Çağaçan Değer
PurposeThis study aims to explain the effect of research and development (R&D) incentives on economic growth, focusing on the case of Türkiye. A one-sector endogenous growth model has been constructed. The model includes three actors: firm, consumer and government. The consumer derives utility from consumption, supplies human capital and engages in saving. The representative firm invests in R&D to maximize the current value of profit flows by choosing how much input it will use and how much R&D it will undertake. The public sector provides incentives for labor and capital used in R&D production. R&D has been defined as a function that endogenously increases total factor productivity (TFP).Design/methodology/approachIn line with the stated purpose, this study presents a dynamic general equilibrium model. Then, this study calibrates the model parameters with Türkiye's data.FindingsThe results imply that incentives for R&D personnel instead of physical capital have a stronger impact on economic growth.Practical implicationsThe findings of this study point to an important conclusion on how to distribute R&D incentives across the two main factors in R&D production, labor and capital. Incentives given to R&D personnel are more effective in Türkiye.Originality/valueThis study shows that the R&D incentives provided by the public sector can be important in emerging countries where many firms have just started their R&D activities. In this study, the authors worked on Türkiye as an emerging country. This study discusses policies on how the R&D incentives will be more effective on economic growth in Türkiye. This study considers that these policies may apply to all emerging countries, due to similar R&D activities in countries that cannot export technology and mostly import technology.
{"title":"Does the distribution of R&D incentive among production factors matter? A dynamic general equilibrium model for Türkiye","authors":"İpek Akad, Çağaçan Değer","doi":"10.1108/ejmbe-08-2022-0255","DOIUrl":"https://doi.org/10.1108/ejmbe-08-2022-0255","url":null,"abstract":"PurposeThis study aims to explain the effect of research and development (R&D) incentives on economic growth, focusing on the case of Türkiye. A one-sector endogenous growth model has been constructed. The model includes three actors: firm, consumer and government. The consumer derives utility from consumption, supplies human capital and engages in saving. The representative firm invests in R&D to maximize the current value of profit flows by choosing how much input it will use and how much R&D it will undertake. The public sector provides incentives for labor and capital used in R&D production. R&D has been defined as a function that endogenously increases total factor productivity (TFP).Design/methodology/approachIn line with the stated purpose, this study presents a dynamic general equilibrium model. Then, this study calibrates the model parameters with Türkiye's data.FindingsThe results imply that incentives for R&D personnel instead of physical capital have a stronger impact on economic growth.Practical implicationsThe findings of this study point to an important conclusion on how to distribute R&D incentives across the two main factors in R&D production, labor and capital. Incentives given to R&D personnel are more effective in Türkiye.Originality/valueThis study shows that the R&D incentives provided by the public sector can be important in emerging countries where many firms have just started their R&D activities. In this study, the authors worked on Türkiye as an emerging country. This study discusses policies on how the R&D incentives will be more effective on economic growth in Türkiye. This study considers that these policies may apply to all emerging countries, due to similar R&D activities in countries that cannot export technology and mostly import technology.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44878226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-22DOI: 10.1108/ejmbe-06-2022-0176
Ignacio Manuel Luque Raya, Pablo Luque Raya
PurposeHaving defined liquidity, the aim is to assess the predictive capacity of its representative variables, so that economic fluctuations may be better understood.Design/methodology/approachConceptual variables that are representative of liquidity will be used to formulate the predictions. The results of various machine learning models will be compared, leading to some reflections on the predictive value of the liquidity variables, with a view to defining their selection.FindingsThe predictive capacity of the model was also found to vary depending on the source of the liquidity, in so far as the data on liquidity within the private sector contributed more than the data on public sector liquidity to the prediction of economic fluctuations. International liquidity was seen as a more diffuse concept, and the standardization of its definition could be the focus of future studies. A benchmarking process was also performed when applying the state-of-the-art machine learning models.Originality/valueBetter understanding of these variables might help us toward a deeper understanding of the operation of financial markets. Liquidity, one of the key financial market variables, is neither well-defined nor standardized in the existing literature, which calls for further study. Hence, the novelty of an applied study employing modern data science techniques can provide a fresh perspective on financial markets.
{"title":"Machine learning algorithms applied to the estimation of liquidity: the 10-year United States treasury bond","authors":"Ignacio Manuel Luque Raya, Pablo Luque Raya","doi":"10.1108/ejmbe-06-2022-0176","DOIUrl":"https://doi.org/10.1108/ejmbe-06-2022-0176","url":null,"abstract":"PurposeHaving defined liquidity, the aim is to assess the predictive capacity of its representative variables, so that economic fluctuations may be better understood.Design/methodology/approachConceptual variables that are representative of liquidity will be used to formulate the predictions. The results of various machine learning models will be compared, leading to some reflections on the predictive value of the liquidity variables, with a view to defining their selection.FindingsThe predictive capacity of the model was also found to vary depending on the source of the liquidity, in so far as the data on liquidity within the private sector contributed more than the data on public sector liquidity to the prediction of economic fluctuations. International liquidity was seen as a more diffuse concept, and the standardization of its definition could be the focus of future studies. A benchmarking process was also performed when applying the state-of-the-art machine learning models.Originality/valueBetter understanding of these variables might help us toward a deeper understanding of the operation of financial markets. Liquidity, one of the key financial market variables, is neither well-defined nor standardized in the existing literature, which calls for further study. Hence, the novelty of an applied study employing modern data science techniques can provide a fresh perspective on financial markets.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46844732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：