Resumo em Inglês:

Abstract Purpose This study aims to understand customer’s assessments of neighborhood stores during the COVID-19 pandemic through the influence of in-store environmental factors on patronage intention. Design/methodology/approach Online survey with 528 participants about the last shopping trip in neighborhood retail. The authors performed data analysis using structural equation modeling techniques. Findings High-perceived spatial crowding negatively influences shopping experience value perceptions, while human crowding influences patronage intentions through increased perceived hedonic value. Research limitations/implications Results suggest that purchase experience at well-known neighborhood stores during a sanitary crisis is becoming less convenience-oriented and a substitute for leisure activities due to social distancing. Practical implications The findings elucidate the social function of neighborhood convenience retailing during the COVID-19 pandemic. The results emphasize that a pleasant shopping experience arising from a good relationship with shopkeepers and other customers is more influential on patronage intention than a good product assortment and store layout. Social implications This paper contributes to the survival of small neighborhood businesses during the financial crisis installed due to Covid-19 by helping businesses become more attractive to their consumers and competitive in the new context. Originality/value The combined context of the health crisis due to COVID-19 and neighborhood retail of an emerging country raises the need for tests to better understand established marketing theories. Based on this rationale, this work intends to replicate and extend selected previous findings to the new environment dictated by the pandemic.

Resumo em Inglês:

Abstract Purpose This paper aims to examine the impact of competition on firm performance using a data set of 352 firms listed on Vietnam’s stock exchanges from 2015 to 2019. Design/methodology/approach The two-step system generalized method of moments is used to estimate this impact. Findings The findings reveal an inverted U-shaped relationship between competition and firm performance. Competition improves firm performance if its intensity is moderate. However, if the competition intensity exceeds the optimal level, the performance deteriorates accordingly. Research limitations/implications The authors only studied Vietnamese firms due to the limited ability in data collection. It would be better to validate the findings using data from other transition economies. Practical implications The non-linear relationship between competition and performance implies that government should pay more attention to retaining competition at an appropriate level. Social implications Firms contribute a lot to the prosperity of Vietnam. Therefore, the findings have a meaningful implication for Vietnam’s government to moderate competition to improve its firms’ performance. Originality/value This paper contributes to the extant literature by providing firsthand evidence of the impact of competition on firm performance in Vietnam – a transition economy.

Resumo em Inglês:

Abstract Purpose This paper assumes necessity rather than sufficiency logic to model the relationship between collaborative culture and supply chain collaboration as triangular rather than linear. Specifically, this study aims to determine whether overall collaborative culture and its dimensions (i.e. collectivism, long-term orientation, power symmetry and uncertainty avoidance) are necessary for supply chain collaboration and the minimum levels of overall collaborative culture and its dimensions that are required for high levels of supply chain collaboration. Design/methodology/approach Based on the literature, collaborative culture and its four dimensions, namely, collectivism, long-term orientation, power symmetry and uncertainty avoidance, were modelled as conditions having supply chain collaboration as their outcome. The study used the necessary condition analysis to test the triangular relationships between the conditions and the outcome among a sample of firms (N = 166) in the downstream petroleum sector. Findings The results revealed that collaborative culture and its dimensions are necessary conditions for supply chain collaboration, and that high levels of collaboration are possible, although not guaranteed when at least a basic level of collaborative culture or its dimensions are present. Hence, different levels of supply chain collaboration require firms to have different levels of collectivism, long-term orientation, power symmetry and uncertainty avoidance. Thus, at 30% supply chain collaboration, only overall collaborative culture is necessary. Research limitations/implications A significant limitation of this research is that, although several antecedents of supply chain collaboration exist, this study explored only the cultural antecedents of supply chain collaboration. Practical implications The dimensions of collaborative culture are necessary but not sufficient for supply chain collaboration. Therefore, managers should adopt a holistic approach to investment in a collaborative culture, as an over-investment in any of the dimensions may not compensate for an under-investment in the others. Originality/value As one of the first studies to use necessity rather than sufficiency logic to test the relationship between collaborative culture and supply chain collaboration, this research unearthed the non-linear (triangular) relationship between the constructs. It contributes to understanding how collaborative culture and its dimensions serve as bottleneck conditions constraining supply chain collaboration.

Resumo em Inglês:

Abstract Purpose This paper aims to study whether Peruvian manufacturing firms that implement innovation have positive performance and whether R&D activities moderate these relationships. Design/methodology/approach Using a data set of Peruvian manufacturing firms from the 2018 National Survey of Innovation, a LOGIT model analysis was applied to 774 companies. In addition, the authors fitted different models into subsamples to explore the moderating effects of R&D on manufacturing firms. Finally, the regression models were computed using R software. Findings The results indicate that product, service and marketing innovation are associated positively with an increase in market share, while process and organizational innovations are associated positively with productivity. Moreover, companies with R&D are more productivity-oriented than companies without R&D. Research limitations/implications This study contributes to the literature on innovation management by supporting the assumption that innovation results in increased productivity and expands market demand. In addition, findings highlight that R&D is essential for boosting firms’ productivity. Practical implications Managers should consider an appropriate combination of the innovation portfolio and R&D investments to make progress and increase performance in the company. In addition, policymakers should consider that investments to promote the development of R&D activities in manufacturing companies will likely lead to médium- or long-term returns. Social implications The correct use of indicators to measure these relationships could help the policymaker to design and measure policy instruments more efficiently. Originality/value These results provide a deeper understanding of how the effects of innovations implemented by manufacturing firms, especially service and process innovation, improve their performance.

Resumo em Inglês:

Abstract Purpose This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship. Design/methodology/approach The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship. Findings Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity. Research limitations/implications The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship. Practical implications Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements. Social implications Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels. Originality/value Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.