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Coopetition is the simultaneous cooperation and competition among firms operating in a specific market. It is particularly relevant in tourism where many competing suppliers (hotels in this case) contribute to the facilitation and delivery of the tourism product, i.e. the destination. By engaging in cooperative arrangements, firms can increase the attractiveness and competitiveness of the tourism product and subsequently demand for individual firms. This study aims to explore the three types of benefits derived from cooperative relationships in the context of the hotel industry, as well as the link between coopetition and market performance.

This study adopts several scales from prior research to survey 475 hotels in the USA. Specifically, respondents were asked to evaluate their performance with regard to the three benefits of coopetition. The responses were used to model the benefits of coopetition as a higher-order construct in a two-stage partial least squares model. In the second stage, the higher-order construct was linked to perceived hotel performance and the respondents’ RevPAR index.

The results show that perceived benefits from coopetition are positively associated with hotel performance. Specifically, the model depicts positive links between the coopetition construct and the hotels’ perceived performance, as well as their RevPAR index. Interestingly, the results were not as strong for index performance and may be due to the relative nature of the measure.

This study supports the notion that coopetition alliances between hotels provide a viable avenue for performance growth. Specifically, managers should consider working together to allocate resources strategically to grow the pie. It is important that managers measure the benefits of cooperative relationships outside of competitive index scores as these metrics may be relative to the cooperative arrangement.

The study is the first to investigate the three benefits of coopetition in the context of the hotel industry. Specifically, it is the first to establish a positive link between firm coopetition and perceived performance in the hotel industry at the firm level.

In 2008 Simone Giometti, Secretary General of the Fondazione Romualdo Del Bianco in Florence, asked if I would organize a conference on The New Urban Sociology (the title taken from the third edition of the textbook co-authored with Mark Gottdiener). Later that year I organized three sessions for a symposium on The Tourist City as part of the Florence Expo celebrating the 10th Anniversary of the Foundation (November 14–18, 2008). At the conclusion of the Florence Expo, a group of scholars associated with the Del Bianco Foundation, faculty from the University of Florence, and members of INURA (International Network for Urban Research and Action) met to plan a conference on Henri Lefebvre and the New Urban Sociology – the working title for the conference. After two days of discussion held at the library of the National Institute of Renaissance Studies in the Palazzo Strozzi, it was decided that the conference should be titled Everyday Life in the Segmented City, reflecting very well the breadth of study and wealth of ideas that one finds in Henri Lefebvre's many contributions to urban sociology.

To analyze the integration of the circular economy and Industry 4.0 in agtechs through lean integration and people.

Following in-depth interviews with key informants, data tabulation was performed via families of viewpoints supported by the primary elements mapped in the investigated context.

The integration of the circular economy with Industry 4.0, and integrated into lean production, aiming to eliminate waste and maximize customer value, and the valorization of people are fundamental in the context of recycling, reuse and reutilization of materials not only in the agricultural sector but also, since it is the object of study of this research. The use of I4.0 technologies and solutions, such as applications, sensors, artificial intelligence and digital platforms, allows for the collection and analysis of real-time data, facilitating decision-making and monitoring of agricultural operations.

The research limitations may include the limited sample of Agtechs analyzed, which might not cover all innovations and trends existing in the sector; data and information available up to the study date (April 2023), which might not reflect more recent developments in the field of Agtechs and the circular economy.

The circular economy seeks to minimize waste and maximize resource use, promoting recycling, reusing and repurposing of materials. In contrast, Industry 4.0 refers to the application of advanced technologies such as artificial intelligence, the internet of things and automation to optimize productive processes and make them more efficient. Lean integration, which aims to eliminate waste and maximize customer value, and the appreciation of people are fundamental in this context.

The use of technologies and solutions from Industry 4.0, like apps, sensors, artificial intelligence and digital platforms, allows real-time data collection and analysis, facilitating decision-making and monitoring of agricultural operations. In addition, the provision of online consulting and technical assistance services contributes to producer training and the maximization of results.

Significant benefits for the agricultural sector, such as greater efficiency, sustainability, product quality, traceability, cost reduction and productivity increase. The use of advanced technologies and the valorization of people are key elements to drive this integration and promote digital transformation in the field. The integration of the circular economy and Industry 4.0 in agtechs, integrating lean production and people.

The aim of the paper is to test the Heterogeneity Construct as a second‐order construct determined by dimensions expressing the resource utilization process carried out by firms, and to test the different impacts of Heterogeneity sub‐dimensions on firm's performance.

After collecting data on the machine tools industry, two models are tested by Lisrel. The first model is a second order confirmatory model. The second one is a structural model testing the causal relations between Heterogeneity components and Performance.

It is found that Heterogeneity is a second order construct, whose dimensions differently contribute to firm performance: two of them positively and a third dimension negatively.

Limitations of the study refer to single industry used, limited sample size, and single respondents. Even if the sample size is low, it allows to run the model and to estimates results. The single respondent bias is mitigated by interviewing managers involved in the resource utilization process. Future research could improve our comprehension of the heterogeneity construct by testing the model in other industries.

By discovering the different effect of the Heterogeneity dimensions on firm performance, we provide some useful implications for managers involved in the resource utilization process. To reach a competitive advantage, firms should orient their decisions to leverage on “contextuality” and “complexity”, while mitigating the effect of “intertwinedness”.

Studies in the strategic management field of study measure Heterogeneity by using single variables. This paper fills in this gap by providing a measure of the Heterogeneity construct on a multidimensional basis, showing the different role played by each dimension on firm performance.

Online communication technologies have profoundly affected consumption and buying behaviours, and put pressure on businesses to find ways of dealing with these developments. Businesses are increasingly experimenting with new approaches and tools to keep up, and netnography – ethnography applied to the web – has become popular. However, exploiting the potential of netnography requires companies to cope with new problems and acquire new capabilities. The purpose of this paper is to examine the organizational and managerial implications of using the netnographic approach in market research.

After a literature review on netnography in marketing research, the authors present a case study of best practice of netnography for market research: the research project of Dash-Procter & Gamble on Motherhood Support.

The authors found four issues as critical for exploiting the potential of netnography as a tool of market research: first, immersive involvement; second, mediated participation; third, the use of multiple techniques and distributed specialized capabilities; and fourth, the need for orchestrating the emergent network organization of the project. The quality of the research outcomes is related to the resources available and the integration of different roles and competences in the project.

Since netnographic studies involve collaborative research, further studies of experiences in organizing netnography projects are needed. These studies are bound to yield valuable insights.

Exploiting the potential of netnography implies experimenting with novel approaches and solutions in marketing research practices to orient management decisions and calls for developing skills to orchestrate research project networks.

The value of this work lies in zooming in on the methodological principles of netnography and zooming out on the networking managerial processes that make it possible to implement the networking required to exploit the potential of netnography.

The author aims to find value relevance of board characteristics and ownership structures in the banking industry of Bangladesh, an emerging economy with absence of good governance.

Pooled Ordinary Least Square (OLS), fixed effect and generalized method of moments (GMM) methods have been utilized to analyse 5-year data of 28 listed banks.

All governance indicators except institutional ownership have insignificant impact on return on asset (ROA) and return on equity (ROE). Institutional ownership has significant negative impact indicating that institutional investors can worsen bank performance in unregulated environments. Additional analysis shows significant positive impact of higher institutional ownership ratios.

Small sample from a single industry of one country may limit the applicability of the findings to all developing economies.

During the fast growth periods of developing economies, institutional investors with small stakes may become value destructive due to speculative behaviour.

This is one of the pioneering studies to suggest that governance mechanisms have insignificant, in some instances adverse, impact on firm value in emerging economies.

The nature and amount of data that public organizations have to monitor to counteract corruption lead to a phenomenon called “KPI overload”, consisting of the business analyst feeling overwhelmed by the amount of information and resulting in the absence of appropriate control. The purpose of this study is to develop a solution based on Artificial Intelligence technology to avoid data overloading and, at the same time, under-controlling in business process monitoring.

The authors adopted a design science research approach. The authors started by observing a specific problem in a real context (a healthcare organization); then conceptualized, designed and implemented a solution to the problem with the goal to develop knowledge that can be used to design solutions for similar problems. The proposed solution for business process monitoring integrates databases and self-service business intelligence for outlier detection and artificial intelligence for classification analysis.

The authors found the solution powerful to solve problems related to KPI overload in process monitoring. In the specific case study, the authors found that the combination of Business Intelligence and Artificial Intelligence can provide a significant contribution to the detection of fraud, corruption and/or policy misalignment in public organizations.

The authors provide a big-data-based solution to the problem of data overload in business process monitoring that does not sacrifice any monitored Key Performance Indicators and that also reduces the workload of the business analyst. The authors also developed and implemented this automated solution in a context where data sensitivity and privacy are critical issues.

The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.

The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.

In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.

This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.

This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.

In this article, the author discusses the influence of technological development on the survival of European parties since the Second World War.

The database comprises more than 200 parties and the political forces observed in 20 countries.

The author find that Internet users as a proportion of the population and a higher value of secure servers in an economy tend to strengthen the duration of parties since their first electoral participation.

This is the first paper discussing parties' survival in democratic regimens as depending on the technological development.