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Although interorganizational relationships are acknowledged as positive for tourism, studies on the subject fail to systematically analyze the joint effects of relationships with different types of organizations. The purpose of this paper is to analyze the influence of the interaction between different types of interorganizational relationships over a hotel firm’s performance.

A structured questionnaire applied to hotel managers was used to assess hotel relationships. Hotel performance was assessed through Trip Advisor information. Structural equations modeling (SEM) was used for data analysis.

Results reveal that only relationships with other hotels had a significant influence on performance. The competition had a negative effect on hotel performance, as well as on horizontal and support organization relationships. Relationships with support organizations presented a significant effect on the formation of relationships between companies (horizontal and vertical) and mediated the negative effect of competition over horizontal relations.

Hotel relationships are idiosyncratic and path-dependent, hence monitoring and copying competitors’ relationships is not advisable. Hotels may improve their productive integration by relating with support organizations. From a destination management perspective, results show that support organizations facilitate interfirm relationships and productive integration within a destination.

The paper systematically analyzes the influence of different interorganizational relationships and competition on hotel performance. Empirical results contradict some aspects of networks and clusters. Some relationships may have positive effects on destinations, but not on hotel firms. Additionally, support organizations play a central role on interfirm relationship formation and maintenance.

集群或网络：组织间关系对巴西酒店绩效的影响Clú

但有关该主题的研究未能系统地分析与不同类型组织之间关系的联合影响。本文的目的是分析不同类型的组织间关系之间的相互作用对酒店公司绩效的影响。

应用于酒店经理的结构化问卷用于评估酒店关系。通过Trip Advisor信息评估了酒店的表现。使用结构方程建模 进行数据分析。

只有与其他酒店的关系才对业绩产生重大影响。竞争对酒店业绩以及横向e支持组织的关系都具有负面影响。与支持组织的关系对公司间关系有显着影响, 对竞争的中介作用对水平关系有负面影响。

本文系统地分析了不同组织间关系和竞争对酒店绩效的影响。实证结果与网络和集群的某些方面相矛盾。某些关系可能对目的地有利, 但对酒店公司却没有相同的影响。此外, 支持组织在公司间关系的形成和维护中起着核心作用。

因此建议不要监视和复制竞争对手的关系。酒店可以改善与支持组织有关的生产整合。从目的地管理的角度来看, 结果表明, 支持组织促进了旅游企业之间的关系以及目的地内的生产整合。

Clústeres o redes: la influencia de las relaciones interorganizacionales en el desempeño de los hoteles brasileños

Si bien las relaciones interorganizacionales se reconocen como positivas para el turismo, las investigaciones sobre el tema no logran analizar sistemáticamente los efectos conjuntos de las relaciones con diferentes tipos de organizaciones. El propósito de este artículo es analizar la influencia de la interacción entre diferentes tipos de relaciones interorganizacionales sobre el desempeño de la empresa hotelera.

se utilizó un cuestionario estructurado aplicado a los gerentes de hoteles para evaluar las relaciones con los hoteles. El desempeño del hotel se evaluó a través de la información de Trip Advisor. Se utilizó el Modelado de Ecuaciones Estructurales (SEM) para el análisis de datos.

los resultados revelan que solo las relaciones con otros hoteles tuvieron una influencia significativa en el rendimiento. La competencia tuvo un efecto negativo en el desempeño del hotel, así como en las relaciones horizontales de las organizaciones de apoyo electrónico. Las relaciones con las organizaciones de apoyo tienen un efecto significativo en las relaciones entre empresas y un efecto de mediación en la competencia, influencia negativa en las relaciones horizontales.

el documento analiza sistemáticamente la influencia de las diferentes relaciones interorganizacionales y la competencia en el desempeño del hotel. Los resultados empíricos contradicen algunos aspectos de redes y clústeres. Algunas relaciones pueden ser positivas para los destinos, pero no tener los mismos efectos para las empresas hoteleras. Además, las organizaciones de apoyo juegan un papel central en la formación y el mantenimiento de relaciones entre empresas.

las relaciones hoteleras son idiosincrásicas y dependen de la ruta, por lo que no es aconsejable monitorear y copiar las relaciones de la competencia. Los hoteles pueden mejorar su integración productiva relacionándose con las organizaciones de apoyo. Desde una perspectiva de gestión de destinos, los resultados muestran que las organizaciones de apoyo facilitan las relaciones entre empresas del turismo y la integración productiva dentro de un destino.

The above quotations highlight the adverse consequences of corruption in many countries around the world today. Indeed, the research taboo on corruption, which Gunnar Myrdal identified in 1968, no longer exists, and the silence on the “C” word (corruption) in the World Bank was broken by James Wolfensohn in his famous October 1996 speech, which focused on the negative consequences of the “cancer of corruption” on the World Bank's aid programs.

This paper is an account of management and organisational interventions in multiple institutions and enterprises in Colombia during the past 10 years, mainly influenced by Stafford Beer's ideas and work. It offers comments about the use of these ideas in three projects; particularly it focuses on an intervention in the National Controller's Office. These are accounts of failure and success. However, assessments of success and failure are tempered by difficulties in appreciating the complexity of social processes and our inability to see cause‐effect connections. The paper offers insights about concrete aspects of these interventions and the footprints they have left in the country.

Family farms are seen as a powerful force for rural development, and they are gaining more and more research attention. This study aims to explore the relationship between the social networks of family farms and the dual innovation of the family farm business model from the perspective of entrepreneurial orientation.

Using a questionnaire survey of 169 family farms in Qingdao, China, descriptive and inferential statistics were used to analyze the data collected. The study hypothesis was tested using inferential tests (regression analysis).

The study results show that innovative, efficiency- and novelty-based business models facilitated by social networks have a favorable and significant impact on the performance of family farms. Furthermore, the relationship between social networks and new business model creation is positively influenced by an entrepreneurial orientation.

This study is distinctive in that it examines the mechanisms underlying family farm growth from an entrepreneurial standpoint, classifying family farm social networks for the first time into social, market and governmental categories and looking at their impact on the creation of new business models. In addition, it looks into the relationship between the innovation and social network aspect of the family farm business model from an entrepreneurial perspective, offering fresh insight into this connection. It also examines the family farm business model’s connection to innovation and social networks from an entrepreneurial standpoint, providing new insight into this relationship.

The study aimed to explore how student recipients of a full-tuition scholarship envision, define and experience mentorship and the types of relationships they have and expect from mentors. The study adds to the growing body of literature on mentorship as supplemental support for college student success.

Semi-structured interviews of 20 first-year college students in the Mid-West United States were collected as a part of a more extensive mixed-methods study. The authors used a four-phase process to refine, derive meaning and develop themes. Kegan's orders of consciousness explain how students make meaning of mentorship.

Students described mentoring as a service that could provide specific transactional features. Ten participants were unable to acknowledge a mentoring relationship at all, despite describing mentoring experiences and opportunities. Students often align with Kegan's second order, which focuses on self and valuing transactional, short-term relationships. Adjusting approaches to explaining mentorship and the value of building relationships appear to be an opportunity for research and practice.

This study illustrates an apparent disconnect between the intent of mentorship and the experiences of mentees. The students' experiences add a valuable perspective that supports the need to further refine mentoring practices in meaningful ways to impact student success, persistence and retention.

The objective of the study is to identify and analyse drivers of smart manufacturing using integrated grey-based approaches. The analysis facilitates industry practitioners in the identification of preference of drivers through which smart manufacturing can be implemented. These drivers are explored based on existing literature and expert opinion.

Modern manufacturing firms have been adopting smart manufacturing concepts to sustain in the global competitive landscape. Smart manufacturing incorporates integrated technologies with a flexible workforce to interlink the cyber and physical world. In order to facilitate the effective deployment of smart manufacturing, key drivers need to be analysed. This article presents a study in which 25 drivers of smart manufacturing and 8 criteria are analysed. Integrated grey Technique for Order Preference by Similarity to Ideal Solution (grey TOPSIS) is applied to rank the drivers. The derived ranking is validated using “Complex Proportional Assessment – Grey” (COPRAS-G) approach.

In total, 25 drivers with 8 criteria are being considered and an integrated grey TOPSIS approach is applied. The ranking order of drivers is obtained and further sensitivity analysis is also done.

In the present study, 25 drivers of smart manufacturing are analysed. In the future, additional drivers could be considered.

The study presented has been done with inputs from industry experts, and hence the inferences have practical relevance. Industry practitioners need to focus on these drivers in order to implement smart manufacturing in industry.

The analysis of drivers of smart manufacturing is the original contribution of the authors.

The purpose of the article was to identify the core dimensions of strategic thinking and create a measure that provides a comprehensive operationalization of the construct.

The construct validity of the measure was assessed in two studies using four samples with a total of 985 participants. The measure was created using a multi-step process that included item development and content validation, exploratory and confirmatory factor analysis, convergent and discriminant validity, criterion validity and test-retest validity.

The exploratory factor analysis (EFA) supported the existence of the three dimensions of strategic thinking (visionary, synthetic and creative thinking) as conceptually proposed. The measure was reduced to nine items. The confirmatory factor analysis (CFA) confirmed the three dimensions and revealed acceptable factor loadings and model fit. Convergent, discriminant and criterion validity were established, and the measure demonstrated acceptable test-retest reliability.

An individual's ability to think strategically is vital for making strategic decisions and relevant to upper echelon theory and strategic management. The definition and core dimensions of strategic thinking are unclear in the literature, creating confusion. This study added to the literature by defining the core dimensions of strategic thinking and developing the strategic thinking assessment (STA) to measure the construct.

The emergence the fourth industrial revolution, known as well as industry 4.0, and its applications in the manufacturing sector ushered a new era for the business entities. It not only promises enhancement in operational efficiency but also magnify sustainable operations practices. This current paper provides a thorough bibliometric and network analysis of more than 600 articles highlighting the benefits in favor of the sustainability dimension in the industry 4.0 paradigm.

The analysis begins by identifying over 1,000 published articles in Scopus, which were then refined to works of proven influence and those authored by influential researchers. Using rigorous bibliometric software, established and emergent research clusters were identified for intellectual network analysis, identification of key research topics, interrelations and collaboration patterns.

This bibliometric analysis of the field helps graphically to illustrate the publications evolution over time and identify areas of current research interests and potential directions for future research. The findings provide a robust roadmap for mapping the research territory in the field of industry 4.0 and sustainability.

As the literature on sustainability and industry 4.0 expands, reviews capable of systematizing the main trends and topics of this research field are relevant.