Search results

This study aims to identify the impact of restaurant pandemic mitigation measures on perceived service quality.

A total of 15,251 reviews were collected from 300 TripAdvisor Lisbon restaurant Web pages between March 2020 and December 2021, when Covid-19 contingency measures were in place. Grounded on the online reviews, a word frequency matrix was created and used as input on partial least squares–structural equation modeling to test the proposed hypotheses.

The results suggest that precaution measures, such as the Vaccination Certificate, negative tests and restaurant layout configuration, positively influenced perceived service quality and consumer satisfaction, moderated by consumers’ beliefs.

This study provides relevant information for restaurant managers, which will help them implement strategies to guarantee service quality, consumer satisfaction and revisit intentions in future pandemic scenarios.

This study provides an up-to-date review of additive manufacturing (AM) technologies and guidance for selecting the most appropriate ones for specific applications, taking into account the main features, strengths, and limitations of the existing options.

A literature review on AM technologies was conducted to assess the current state-of-the-art. This was followed by a closer examination of different AM machines to gain a deeper insight into their main features and operational characteristics. The conclusions and data gathered were used to formulate a classification and decision-support framework.

The findings indicate the building blocks of the selection process for AM technologies. Furthermore, this work shows the suitability of the existing AM technologies for specific cases and points to opportunities for technological and decision-support improvements. Lastly, more standardization in AM would be beneficial for future research.

The proposed framework offers valuable support for decision-makers to select the most suitable AM technologies, as demonstrated through practical examples of its utilization. In addition, it can help researchers identify the limitations of AM by pinpointing applications where existing technologies fail to meet the requirements.

The study offers a novel classification and decision-support framework for selecting AM technologies, incorporating machine characteristics, process features, physical properties of printed parts, and costs as key features to evaluate the potential of AM. Additionally, it provides a deeper understanding of these features as well as the potential opportunities for AM and its impact on various industries.

This study aims to analyze the phenomenon of entrepreneurial spawning in the new context of software startups, revisiting theory and identifying patterns within the emergence of startups/spin-offs in Brazil.

A study of two cases of startups recognized for generating several spin-offs founded by former employees. The authors based the data collection on the following triangulation: 11 in-depth interviews, systematic analysis of 33 resumes from entrepreneurs in spawned firms and document analysis.

Six skills developed in startups were identified: (1) structuring a company, (2) people management, (3) strategic/operational planning, (4) commercial/sales, (5) product development, and (6) behavioral traits. In addition, points of contradiction concerning the literature were found, such as the absence of the location effect, different professional experiences and new local agents to support startups.

The present study covers only two cases in the context of software startups, which requires caution and discretion in extrapolating to other contexts.

The understanding of the phenomenon may reflect in: university programs focused on internships in startups, corporate training programs for entrepreneurs and the design of public policies based on entrepreneurial spawning.

The present study stands out for its access to data from high-impact startups in Brazil, in addition to revisiting the literature bringing a new perspective to the specificities of high-growth software companies.

This paper aims to study the effect of country-level perceptions of corruption on commercial banks’ lending activity over the importance of loans and the quality of loan portfolios of banks in Europe.

The paper uses country-level perceptions of corruption scores from Transparency International, individual bank-specific data from ORBIS and macroeconomic data from the World Bank. The sample is composed of 640 commercial banks in 42 European countries from 2013 to 2019. The authors estimate, by pooled OLS, the relationship between corruption and the importance of loans and the quality of the banks’ loan portfolios. In addition, several robustness tests reinforce the results.

The results show that corruption negatively impacts the importance of loans in bank assets and positively impacts the proportion of bad loans. In addition, trade openness increases the weight of loans and the weight of nonperforming loans. Bank size, capital and risk also affect bank lending activity. Finally, European Monetary Union (EMU) membership reinforces the negative (positive) effect on loans (bad loans).

The results highlight the importance of fighting corruption. Governments, regulators and banks benefit from pursuing transparency-oriented policies to decrease the perception of corruption and foster economic development.

The literature on the impact of corruption on bank lending activity focuses mainly on high-corruption countries. This paper studies the European case, scarcely investigated in the literature, in the aftermath of two international financial crises and when significant regulatory transformations in banking supervision were instituted in the EMU countries.

Central banks from more than 100 countries, representing 95% of the global financial output, are studying Central Bank Digital Currencies (CBDCs). CBDCs can potentially enable safe, efficient and inexpensive cross-border and cross-currency payments in today's interconnected financial system. However, a critical factor influencing their expansion is cross-border interoperability. Therefore, there is a high demand from central banks, researchers, computer scientists, policy- and decision-makers to explore this topic further. Its better understanding will improve information management, enhance the decision-making process, and result in the redesign of central banks' processes and products (digital currencies).

The authors investigate this novel and timely topic by conducting a Multivocal Systematic Literature Review (MSLR) on CBDCs cross-border interoperability. Additionally, the authors collect and analyze empirical data from various online resources such as CBDC trackers.

The authors conclude that although the academic literature on CBDC cross-border interoperability is very limited, valuable documents published by central banks and other entities discuss this issue and provide valuable insights. The authors paid particular attention to the reports published by the Bank of International Settlement (BIS) as it proposes three different models for CBDC cross-border interoperability. The study research reveals that most CBDC cross-border interoperability projects run by several central banks and other organizations explore these three BIS models. For this research, the authors performed an in-depth study of CBDC cross-border interoperability cases to investigate all three BIS models. The findings illustrate that although technical interoperability is feasible, plenty of work needs to be done in terms of standards and interfaces. In addition, other non-technical interoperability areas need to be explored and addressed, as there are concerns related to legal issues, regulations, jurisdictional boundaries, policy challenges and governance.

Research on CBDCs is progressing quickly, so, despite the authors’ use of an MSLR to identify the state-of-the-art, interested parties should be aware that new information is prone to appear imminently. Hence, this study work should be understood as a basis to build upon. Also, although the authors have included major academic databases in this study search, there is the possibility that a few papers may have been published in outlets that the authors have not covered. Finally, since the search in the grey literature returned thousands of hits, the authors had to define a stopping criterion for the documents to analyze.

The authors provide insights on the current state of CBDC cross-border interoperability, which is valuable to policy- and decision-makers currently assessing the situation and deciding on avenues to pursue.

The authors provide an integrated and critical view of the developments of CBDC cross-border interoperability, considering not only available academic literature but also fundamental documents from key institutions such as central banks and related organizations.

Evaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research evolution of the Revista Europea de Dirección y Economia de la Empresa (REDEE) and the European Journal of Management and Business Economics (EJMBE).

A bibliometric analysis was conducted to acknowledge the most contributing authors, impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks. A total of 454 articles published between 2006 and 2022 were analyzed.

The results suggest that the international strategy set in 2014 has resulted in a steadily growing number of publications and a significant increment in citations. Relationship marketing and the connections between innovation, performance and entrepreneurship are topics of interest for the EJMBE.

Mapping existing EJMBE research through identifying the contributing authors, most impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks is missing to encourage new research projects.

The purpose of this study is to analyse the recommendations on knowledge organisation from guidelines, policies and procedure manuals of a sample of institutional repositories and networks within the Latin American area and observe the level of follow-up of international guidelines.

Presented is an exploratory and descriptive study of repositories’ professional documents. This study comprised four steps: definition of convenience sample; development of data codebook; coding of data; and analysis of data and conclusions drawing. The convenience sample includes representative sources at three levels: local institutional repositories, national aggregators and international network and aggregators. The codebook gathers information from the repositories’ sample, such as institutional rules and procedure manuals openly available, or recommendations on the use of controlled vocabularies.

The results indicate that at the local repository level, the use of controlled vocabularies is not regulated, leaving the choice of terms to the authors’ discretion. It results in a set of unstructured keywords, not standardised terms, mixing subject terms with other authorities on persons, institutions or places. National aggregators do not regulate these issues either and limit to pointing to international guidelines and policies, which simply recommend the use of controlled vocabularies, using URIs to facilitate interoperability.

The originality of this study lies in identifying how the principles of knowledge organisation are effectively applied by institutional repositories, at local, national and international levels.

The study compares how distinct mechanisms that connect pre-established policy objectives to professionals' practices, and the health policy implementation context influenced different approaches to frontline staff participation. The authors analysed 26 teams in six cities from two Brazilian states, during the last cycle of the National Program for Improving Access and Quality of Primary Care (PMAQ).

About 172 in-depth interviews were conducted with frontliners – community health workers (78), nurses (37), doctors (30) – and managers (27). Interview guides were based on key issues identified in the implementation and pay-for-performance (P4P) literature. Drawing on thematic analysis and synthesis of the literature, three types of participation mechanisms were identified: relational, motivational and incremental learning. They were analysed considering distinct contexts at the local level to understand how they influenced different forms of participation: mere adherence, result-oriented and transformative.

Administrations with stronger institutional organizational structures were able to control work processes and reduce professional discretion. However, sustained participation was more likely where there was greater integration between management and frontline health care teams. Motivation based only on financial incentives could not bring about transformative participation. This depended on the degree of professional's ideational motivation towards primary care. Finally, contexts with unfavourable working conditions tend to demotivate professionals, but incremental learning helps teams cope with these obstacles.

The study overcomes gaps in the literature in relation to PMAQ's implementation process. Overall, the study delves into which/how mechanisms alter frontliners participation in performance-oriented health programs.

This paper analyzes previously unmeasured effects of a response to a service incident called “benevolent” within the customer –firm relationship.

A questionnaire was administered to telecommunication customers in a Western European country, and the model was estimated using partial least squares (PLS).

This study shows that the customer–firm relationship is surprisingly affected by the response to expected incidents that the customer interprets as acts of benevolence or opportunism. This research also shows that the firm's incident response interpreted as benevolence or opportunism has an effect that merely positive or negative events do not. Acts of benevolence response towards an incident positively affect customer–firm relationship quality, and expectations of such acts may lead to an upward spiral in customer commitment.

While benevolence trust has been proposed and studied before, the response to incidents interpreted as benevolent or opportunistic and their consequences have been under-studied, hence exhibiting a research gap.

在公司與顧客之間的關係的範疇內, 公司對服務事故所作的被稱為仁慈的反應的影響不曾被測量; 本研究擬就該反應的影響進行分析和探討。

研究以問卷方式進行¸ 對象為一個西歐國家裏的電訊服務客戶。研究人員使用偏最小平方法作估算, 設計有關的模型。

研究結果顯示、若顧客對公司就預期的事故所作的反應看作是仁慈的話, 又或相反地視為是投機主義所驅使的, 則公司與顧客之間的關係會出人意表地受到影響。研究結果亦顯示、顧客的仁慈、抑或是投機主義的闡釋和理解所帶來的影響, 與單純積極正面事件或消極負面事件所帶來的影響是不一樣的。公司對事件仁厚的回應會給予顧客之間的關係的質量帶來正面的影響; 而且, 對這種回應的預期、或會給客戶承諾帶來螺旋上升。

對仁厚之信賴曾被提出並作探討。唯對被視為仁慈的或機會主義作祟的反應所作的研究則不足, 這方面實存研究缺口。