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The purpose of this study is to examine how access and mobilisation of network resources influence a firm's performance. It has been established that alliance portfolio (AP) network parameters shape the access to network resources; however, resource access understood as value creation differs from resource mobilisation understood as value capture. Hence, the paper contributes towards the comprehension of AP performance by examining the extent to which a firm's level of network resource mobilisation (NRM) plays a role in improving financial performance and how this strategy conditions the benefits obtained from a firm's AP.

This study employs an interorganisational network approach to describe the APs of firms; subsequently, it examines how AP network parameters and resource mobilisation determine financial performance. To this end, sequential multiple regression models are applied to a sample from the Top International Airlines database, covering 135 portfolios that correspond to 1117 codeshare partnerships.

The analyses show that the NRM level has an inverted U-shaped relationship with revenue performance, thereby revealing the limitations and considerations in the strategic alliance strategy. In addition, the authors show how the resource mobilisation decision moderates the faculty of AP parameters to influence a firm's financial performance, thereby exposing the nuanced relationship between AP size, diversity and redundancy. The findings convey strategic and practical implications for managers regarding how to capture value from their APs.

The findings suggest the need for NRM to form part of a firm's AP management capability, so that, by acquiring superior strategic knowledge in NRM, the firm is able to extract value from its AP through the optimal exploitation of complementary assets.

Previous research has highlighted the multidimensional nature of APs at the theoretical level; however, no simultaneous empirical analysis of various AP parameters has yet been produced. The research empirically analyses an AP network and how its parameters affect financial performance in the presence of a resource mobilisation strategy. Not only do the authors introduce the analysis of the curvilinear relationship between the level of NRM and a firm's performance, but also of its role in advancing the AP literature.

Multinational enterprises (MNEs) establish a wide range of alliances to access the critical resources that they may need at any one time. Although inter-organizational relationships (IORs) constitute the channels through which social capital flows, MNEs should consider which mechanisms or characteristics of the relations facilitate their actual mobilization.

A definition of alliance types yielded the parameters for an ordinary least squares regression of a sample from top global-reach MNEs from the airline industry.

The results showed that certain kind of alliances favored the actual mobilization of social capital.

Managers of MNEs must select the type of IOR taking into account the objective they pursue and the type of activity they will include.

Analyzing the factors that influence the degree of mobilization of social capital and how MNEs actually use the resources of the partners require the establishment of a theoretical framework and the development of empirical evidence.

las Empresas Multinacionales (MNEs) establecen una amplia gama de alianzas para acceder a los recursos críticos externos que puedan necesitar en cualquier memento. Las MNEs deben considerar qué mecanismos o características de las relaciones facilitan su movilización real.

una definición de los tipos de alianza produjo los parámetros para una regresión de mínimos cuadrados ordinarios de una muestra de las principales MNEs de alcance global de la industria de las aerolíneas.

Los resultados mostraron que ciertos tipos de alianzas favorecieron la movilización real del capital social.

Analizar los factores que influyen en el grado de movilización del capital social y cómo las MNEs utilizan en la práctica los recursos de sus socios, requiere del establecimiento de un marco teórico y el desarrollo de evidencia empírica.

Multinational enterprises (MNEs) strive to expand into new markets either by exploiting their resource base or by gaining access to partner companies that own the required resources. Thus, companies face the compete–cooperate–coopete decision. The purpose of this study is to determine the effect of MNEs’ networks of interorganisational alliances, and their interaction with resource ownership, and market attractiveness, on the choice of international expansion modes, whether they are sole venture (competitive) or collaboration agreements (cooperative) or both (coopetitive).

A biprobit model is used to analyse more than 50,000 new international operations by 164 MNEs in a five-year window. A moderation analysis is carried out to reveal the interaction between network centrality, resource ownership and market size.

The results show the extent to which the competitive–collaborative contradictory forces attenuate each other in different market scenarios. This study’s contribution advances the resolution of the resource allocation dilemma by recognising the conditions for the selection of each expansion mode: sole venture, cooperation and coopetition.

Mainstream international business theory claims that firm’s own resources and transaction outcomes are generally sufficient to explain their international expansion decisions, whereas network and social capital theories focus on the role of relationships and network embeddedness. Both perspectives seem to neglect the fact that firms frequently develop both factors simultaneously. This study bridges these perspectives and reveals the interplay between resource ownership, alliance network centrality and market size for MNEs’ expansion mode choice.

This paper aims to advance a model that will explain how hotel firms access and mobilize external resources. Hotel operators and firms need to complement their internal resources with external resources, which they can access through their personal and organizational ties, so as to compete and to achieve success.

A framework is proposed, on the basis of the resource-based view and network theory, to explain the process of access and mobilization of available external resources thanks to the professional and social ties of the managers of hotel firms.

This framework distinguishes between access to network resources and their mobilization. This paper introduces network resource mobilization capability as an adaptive capability of managers and employees that can improve hotel firm performance. Previous experience and contextual factors such as the type of property and the management style all influence the nature of this capability.

This work proposes a repertory of relevant resources in hotels and the preparation of an instrument to measure access to those resources and their mobilization through social capital. It also proposes the need to develop a new dynamic capability: the capability to mobilize network resources in hotel firms through their managers. Finally, it proposes that social capital is a valuable resource for both hotel firms and their managers.

This theoretical approach makes a key distinction between access to and mobilization of network resources, which leads to a better understanding of the potential of the individual social capital of hotel managers. Network resource mobilization capability is introduced as an adaptive capability of managers.

In 2020, the Journal of Service Theory and Practice (JSTP), previously titled Managing Service Quality, celebrates its 30th anniversary. This study provides a retrospective of the evolution and contribution of the journal to service research by identifying its major trends, research constituents, factors contributing to citations and thematic structure over its 29 active years (1991–2019). The paper concludes by providing directions and ideas for progressing service research

The study uses the Scopus database to extract JSTP's bibliographic data. It employs bibliometric methods to study the trends of the journal, such as the citation structure and most-contributing authors, institutions and countries. Bibliographic coupling and keyword co-occurrence analyses are used to study the intellectual structure of the journal. Regression analysis discloses the factors influencing citations of JSTP articles. Factors explaining the citation count of JSTP articles include article age, number of author keywords, article length, title length and number of references.

JSTP's influence has grown significantly in the scientific community, which is evidenced by findings relating to the citation counts, the thematic scope/variety and authorship features of the JSTP papers published during the last 30 years. JSTP attracts publications from around the globe, but most contributions come from the United States, United Kingdom and Australia. Although JSTP has continuously evolved with new and varied themes, a bibliographic coupling analysis clustered JSTP articles into five major clusters.

The limitations of the Scopus database may impact the study's results.

This study is the first to provide a comprehensive review of JSTP since its launch. It is useful to the editorial board and other JSTP stakeholders as well as service scholars alike.

This study aims to use a bottom-up, inductive approach to derive destination image attributes from large quantities of online consumer narratives and establish a destination classification system based on relationships among attributes and places.

Content and social network analyses were used to explore the consumer image structure for destinations based on online narratives. Cluster analysis was then used to group destinations by attributes, and ANOVA provided comparisons.

Twenty-two attributes were identified and combined into three groups (core, expected, latent). Destinations were classified into three clusters (comprehensive urban, scenic and lifestyle) based on their network centralities. Using data on Chinese tourism, the most mentioned (core) attributes were determined to be landscape, traffic within the destination, food and beverages and resource-based attractions. Social life was meaningful in consumer narratives but often overlooked by researchers.

Destinations should determine into which category they belong and then appeal to the real needs of tourists. Destination management organizations should provide the essential attributes while paying greater attention to highlighting the destinations’ social life atmosphere.

This research produced empirical work on Chinese tourism by combining a bottom-up, inductive research design with big data. It divided the 49 destinations into three categories and established a new system based on rich data to classify travel destinations.

本研究旨在使用自下而上的归纳方法从大量的在线消费者的叙述中总结出目的地形象的属性, 并根据目的地形象的属性和地点之间的关系建立一个目的地分类系统。

首先通过内容分析方法和社会网络分析方法分析在线消费者的叙述数据得出目的地的消费者形象结构, 然后采用聚类分析方法按照属性对目的地形象进行分组, 并通过方差分析进行比较。

结果显示总结出22种属性, 并将其组合为三组(核心、预期和潜在)。目的地根据其网络中心度被分为三个集群(综合城市、风景和生活方式)。最常被提及的(核心)属性是景观、目的地的交通、食品和饮料以及资源型景点。在消费者的叙述数据中表明社会生活是有意义的, 但常常被研究人员忽视。

首先本研究通过将自下而上的归纳研究设计与大数据相结合对中国旅游业进行了实证研究。其次通过将49个旅游目的地分为三类以及基于大数据建立了一个新的旅游目的地分类系统。

旅游目的地应该明确自己属于哪一类目的地类型然后迎合游客的真正需求。DMOs应该提供旅游目的地的基本属性, 注重提升旅游目的地的社会生活氛围。

Se realizó un análisis de contenido en redes sociales para explorar la estructura de la imagen de los destinos por parte de los consumidores basándose en las descripciones en línea. A continuación, se empleó el análisis de clusters para agrupar los destinos por atributos, estableciendo comparaciones mediante el análisis ANOVA.

Los propósitos de esta investigación eran utilizar un enfoque ascendente e inductivo para obtener atributos de imagen de los destinos a partir de grandes cantidades de descripciones de consumidores en línea, y establecer un sistema de clasificación de destinos basado en las relaciones entre atributos y lugares.

Se identificaron 22 atributos que luego se agruparon en tres grupos (principales, esperados, latentes). Los destinos se clasificaron en tres grupos (urbano integral, paisajístico y de estilo de vida) en función de sus centralidades de red. Utilizando datos sobre el turismo chino, se determinó que los atributos (centrales) más mencionados eran el paisaje, el tráfico dentro del destino, la comida y las bebidas, y las atracciones basadas en los recursos. La vida social era importante en los comentarios de los consumidores, pero a menudo los investigadores la pasaban por alto.

Los destinos deberían determinar a qué categoría pertenecen y luego apelar a las necesidades reales de los turistas. Los DMO deberían proporcionar los atributos esenciales prestando mayor atención a resaltar el entorno de vida social de los destinos.

Esta investigación elaboró un trabajo empírico sobre el turismo chino combinando un diseño de investigación inductiva ascendente con big data. Dividió los 49 destinos en tres categorías y estableció un nuevo sistema basado en los grandes datos para clasificar los destinos turísticos.