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This study aims to examine the determinants of consumer behavioral intention to use the restaurant, concert and education services online during and after the COVID-19 pandemic.

A conceptual model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) was tested via structural equation modeling by using data collected from a sample of 420 Brazilian consumers.

The results showed that performance expectancy and social influence are the most critical determinants of consumer behavioral intention to use services online during the pandemic. The results also provided evidence that the pandemic has generated significant impacts on future consumer behavior.

This study contributes in a multidisciplinary way to the literature on hospitality, entertainment and education services, by applying the UTAUT theory and testing the model during and after the COVID-19 pandemic context. Moreover, this study provides empirical evidence from Brazil, one of the most affected countries by COVID-19.

This study aims to examine the impact of the servitization on the performance of small and medium enterprises (SMEs) in Brazil.

The study uses data from Brazilian SMEs and applies partial least squares structural equation modeling (PLS-SEM) to test the research hypotheses.

The findings suggest a positive relationship between servitization and SME performance. It is found that the strategy of offering base services does impact SME performance. Furthermore, servitization aims to promote a fit between environmental pressures and SME performance.

SMEs can use servitization to increase their performance in spite of their resources restrictions, size limitation and low level of service revenue. However, the adoption of servitization should be accompanied by managerial adjustments in servitization practices.

This paper is dedicated to investigating the servitization-performance relationship in the context of SMEs, which is not a usual research publication. Moreover, it adds to the servitization theory by demonstrating that it is not necessary to reach a critical mass of services to be profitable and base services may be also a source of revenues and profits.

This study aimed to find factors influencing the acceptance of telemedicine for adults in Brazil. Moreover, it investigates the moderating role of disease complexity and the generational digital divide phenomenon on the intention to use the telemedicine service.

A quasi-experiment was employed. Primary data were collected using a survey research method considering two different scenarios based on disease complexity and symptom severity. A total of 248 responses were collected using a structured questionnaire. The authors also tested these two scenarios in three generations (X, Y and Z) of adults. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the collected data and test the research hypotheses.

The results indicated that performance expectancy and perceived security and reliability are two predictors of the behavioral intention to use telemedicine, whereas effort expectancy and social influence showed no statistical significance. Furthermore, the results demonstrated that adults tend to adopt telemedicine regardless of the level of disease complexity. Finally, this study does not support the existence of a digital divide in the three generations.

The study applies the UTAUT model to assess the telemedicine acceptance for younger generations. It examines patient risk perception (security and reliability) as one antecedent of telemedicine acceptance.

Road freight transportation companies need to take advantage of information and communication technologies to develop capabilities. This study proposes a framework to guide road freight transportation companies to achieve data visibility in their operations by developing such capabilities. By proposing this framework, this research contributes to literature and practice, highlighting the capabilities and the respective supporting technologies for improved data visibility in road freight transportation.

A mixed-method approach is used to develop the framework, considering three methodological steps. In phase 1, the capabilities are identified in the literature and validated by experts. In phase 2, an empirical assessment of cause–effect relationships between capabilities is performed using a multiple case study and DEMATEL. Lastly, in phase 3, an analysis of the cause model and significant associations is conducted to enable the development of the framework. In addition, the proposed framework was validated by the experts interviewed.

The results provide a framework that explains the link between the technology-enabled data visibility capabilities in road freight transportation operations. In addition, a pathway was established that road freight transportation companies could follow to achieve data visibility in their operations by developing such capabilities.

This work develops the first framework that provides a path for data visibility in road freight transportation operations from adopting certain technologies. The insights are compelling for researchers and practitioners to optimize the decision-making process for adopting technologies and developing capabilities related to data visibility.

This paper aims to evaluate the impacts of the COVID-19 crisis on startups performance and the moderating effects played by several resilience-related startup characteristics during times of crisis.

To achieve this, 94 Brazil-based startups were surveyed, and multivariate data techniques (PLS-SEM) were applied.

The results show that despite the startups performance having been affected by the pandemic crisis, the response measures, when influenced by the resilience characteristics of these companies, moderated this effect. Furthermore, our findings suggest the future challenges to be faced by these organisations in the post-pandemic period.

Proposing a framework, our survey research contributes to the dynamic capabilities theory by showing that startups resilience is linked to the micro-foundations of sensing (e.g. innovation systems, resilience culture, pivoting practices, innovativeness products), seizing (e.g. leadership/focused skills, people development and selection, agility, clear vision of business process) and reconfiguring capabilities.

Not only for theory, but this paper also contributes insights and guidelines for business practice in the face of challenges arising from times of crisis. By demonstrating the positive effect of early response measures based on resilience, our findings provide genuine managerial input that can help managers, funders and decision-makers in these companies operations against turbulent crises early on, thereby supporting the traction phase and sustaining their performance.

Previous research has examined the effects of the COVID-19 crisis in several sectors and perspectives. However, this study is the first to empirically test and clarify how the resilience and singularities of these new business models based on innovation could react to the changes caused by the pandemic.

The challenges of digital transformation (DT) have gained attention from both academics and practitioners, as more manufacturing companies are seeking digital technology implementation. This study, therefore, aims to identify the challenges of DT in manufacturing companies and propose new research directions.

A systematic literature review considering 176 articles (published between 2003 and 2019) was used to build a conceptual framework of DT.

A systematized view of challenges regarding organizational commitment, value creation, value proposition, value delivery, value capture, information and technology infrastructure and data security were identified. Moreover, a conceptual framework was developed to summarize the challenges and how they are associated with the business model value architecture and with the DT phases. Research opportunities for future research were also identified, contributing to the advancement of the topic.

First, the study provides a categorization of the main challenges of DT in manufacturing companies. Second, it identifies research gaps and future research avenues; and finally, it proposes a conceptual framework that aims to support more rigorous studies and guide management decisions regarding an integrative understanding of DT.

Considering the high impacts caused by manufacturers on sustainability, this research aims to analyse how Brazilian manufacturing companies deal with sustainability issues. To do this, sustainability parameters are analysed to verify possible improvement opportunities.

This research uses Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and grey relational analysis (GRA) to analyse data from a survey with Brazilian professionals regarding aspects of sustainability in Brazilian manufacturers. The average score levels and the ranking of these aspects are evaluated.

Through the analysis performed, it was possible to verify that manufacturers in Brazil still have a long path to travel in the search for sustainability. Comparatively, it was observed that practices related to local communities received the lowest scores, on average. In contrast, on average, practices related to productivity and efficiency, occupational accidents and diseases, and compliance with environmental legislation received the highest scores.

The results presented in this paper show that there are several improvement opportunities to be sought by Brazilian manufacturing companies regarding sustainability aspects. Particular attention should be given to local community practices. Besides companies, policymakers can also use this analysis to guide their future actions, encouraging manufacturing companies to better support the local community. Researchers can use the instrument of analysis (TOPSIS and GRA) to analyse other realities and compare them with the findings presented.

The analysis of Brazilian manufacturing companies’ reality regarding sustainability practices and considering a model based on Global Reporting Initiative (GRI) and Brazilian Institute of Corporate Governance (IBGC) is novel in the literature. The use of TOPSIS and GRA, as well as comparing their findings, generated interesting insights for companies, policymakers and researchers. The analysis presented shows the need for more significant concern for local communities and can be used to support further debates and action plans to minimise this gap.

The purpose of this paper is to explore the adoption of lean practices by manufacturing companies in regions of low economic and technological development and to compare findings with previous studies from more developed regions highlighting important contextual differences. The paper uses the contingency theory to explore how contextual variables and scarce resources influence the adoption of lean practices.

A survey of 233 manufacturing firms was conducted in the State of Pará in the Amazon Region of Brazil.

The results demonstrate that six internal lean practices (single minute exchange of dies, human resource management, continuous flow, total productive maintenance, pull and statistical process control) and two external lean practices (supplier feedback and customer involvement) are implemented. However, the two external lean practices of just-in-time delivery by suppliers and supplier development were not implemented. Furthermore, from the 36 operating items comprised in eight lean practices that are being used, 13 were not implemented. As such, compared to developed regions, there is evidence for a more fragmented implementation in less developed regions. The results reveal empirical evidence explained by the contingency perspective, such as national, geographical, strategic context and culture.

There is broad evidence on lean implementation in developed and developing countries in the literature. However, little is known about lean implementation in poorer regions of developing counties. This is one of the first studies mapping lean implementation in a region with low economic and technological development. This has important implications for research and practice, especially to cross-country/cultural research on operation management.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

The aim of this study is to investigate the perceived benefits offered by integrated management system (IMS) in the readymade garments (RMG) sector in Bangladesh and the respective linkage with corporate social responsibility (CSR) to promote sustainable development. This study presents a list of IMS benefits composed of different international management standards according to ISO 9001:2015, ISO 14001:2015, OSHAS 18001: 2007 and SA 8000:2014.

To identify the possible benefits of IMS, a systematic literature review was conducted from 2009 to 2019, namely, in the database of Elsevier, Emerald and John Wiley. A questionnaire survey was developed with the purpose of examining the perceived main benefits of IMS. The questionnaire was e-mailed to 355 representatives of 15 RMG sectors in Bangladesh. A total of 256 complete and useable responses were received, constituting the base of this work. Subsequently, statistical analysis was conducted using SPSS 20 software.

The main findings of the present study show that the most important five benefits of IMS in RMG sector in Bangladesh are better capacity to achieve organization’s objectives, optimum use of various resources, business sustainability, synergies of different management policies and reduction of duplication efforts.

Two major limitations of the study are as follows: first, it is not a longitudinal study; second, IMS benefits were examined in the national sector context. The present study has both theoretical and practical implications. The study presents a comprehensive list of IMS benefits that contribute to the existing literature from a theoretical point of view. On the other hand and from a practical point of view, this study encourages managers to implement IMS in their organizations.

This study helps in understanding the contribution of IMS benefits to cleaner production and CSR in Bangladesh. The focus on the benefits of IMS in the RMG sector in Bangladesh is another significant aspect of this study because it promotes the development of environmental policies linked to CSR with stakeholder engagement, as a driver to sustainable development.