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This contribution discusses a continuum model of large discrete networks in planar domains. For this model, the Kirchhoff law, boundary conditions and capacity constraints lead in a system optimisation approach to a infinite dimensional constrained optimisation problem and to “mixed” variational inequalities. Mixed finite element methods can be formulated for these variational inequalities such that computable discretizations of the continuum problem are obtained.

Agriculture and associated services are central to the rural economy of the United Kingdom. Rural veterinary enterprises are important providers of services to livestock producers, but are now facing concerns over their future economic viability. The objectives of this chapter are to outline the changes occurring in the veterinary and agricultural sectors, and to explore the main issues affecting veterinary enterprises in a changing business environment.

This is a conceptual chapter contextualised mainly within the United Kingdom. As such, the methodological approach comprises a critical review of current academic literatures, as well as government reports and relevant media articles.

The findings demonstrate that the commercial success of rural veterinary enterprises is critical to ensuring the future provision of high-quality animal health services to both farmers and government. The current issues facing farmers are likely to affect their willingness and resources to invest in veterinary services. Furthermore, farmers may have doubts as to vets’ ability to provide business-focussed services that add value. In addition, many public services are outsourced to private veterinary enterprises, and forthcoming policy changes are expected to lead to reduced income from public sources for both vets and their livestock farming clients. While wider issues affecting agriculture are beyond the control of private veterinary practitioners, veterinary enterprises will need to ensure that they can deal with such challenges and, where required, adapt their services accordingly.

The chapter is based on a review of extant literatures, and the scope of the research is therefore limited to existing knowledge about the farm animal veterinary business landscape.

The chapter summarises current knowledge of the challenges facing rural veterinary enterprises. While some of the issues described are specific to the veterinary sector, many are also relevant to other rural SMEs providing knowledge-intensive services to farmers. The chapter also describes areas requiring further empirical research.

This empirical study examines the psychometric comparability of Aaker's Brand Personality Scale (Aaker, 1997) in sponsorship matching. It employs a structural validation protocol - the congenerity test (Ohanion, 1990) - to investigate the extent to which sports events and sponsors can be psychometrically matched. The results show that sports events and sponsors are comparable only in terms of limited numbers of the dimensions of the a priori scale. Theoretical and practical implications are discussed.

The purpose of this paper is to examine the impact of service separation on the ability of service firms to build and maintain customer relationships, by exploring the differences in the strength of interrelationships among key relational constructs between separated and unseparated service delivery modes.

A field survey was conducted with retail banking customers in Saudi Arabia (n=592) using a structured self-administered questionnaire consisting of well-established scales. Data were analyzed using AMOS 24.

Service separation negatively moderates (weakens) the ability of the service firms to leverage their social benefits, relational trust and affective commitment to increase customer loyalty and to strengthen overall customer relationships.

This study uses retail banking customers in Saudi Arabia to test the impact of service separation in their relationship with the bank; hence, its findings may not be generalizable to other types of services and cultural settings.

Service firms using online and mobile technologies should be aware that trust and commitment remain key to building customer loyalty. Hence, the trade-off between the benefits of these technologies and their negative impact on customer relationship needs to be factored into managerial decision making.

The paper highlights the importance of maintaining face-to-face interactions with service customers to create robust relationships that yield loyalty, despite the growing popularity of online and mobile technologies.

This study aims to provide a taxonomy of relational benefits that drive customer loyalty in sharing-economy services, assess the relative strengths of these relational benefits in influencing customer loyalty and examine whether commitment mediates the influence of relational benefits on customer loyalty in this context.

Relational benefits of sharing-economy services were explored through a focus group interview, followed by an online survey completed by 440 respondents in China. Structural equation modeling was used to test the hypotheses.

This study shows that confidence and social benefits have significant and positive effects on commitment in sharing-economy services. In addition, safety benefits, a new type of relational benefits, also significantly affect commitment in this context. Furthermore, the findings suggest that commitment acts as a mediator between confidence, social and safety benefits and customer loyalty. Special treatment benefits had no effect on commitment and loyalty in the sharing-economy context.

This paper provides sharing-economy service providers with insight on how to better create and sustain loyal relationships with customers through the provision of relational benefits.

This study offers initial insight into why customers would stay in peer-to-peer relationships in the sharing economy, and suggests how to strengthen relationships between customers and peer service providers.

The purpose of this paper is to empirically a model that reflects the different types of relational benefits perceived by customers, as well as the benefits obtained by the organization in terms of customer loyalty.

In order to achieve the aim of this paper, a quantitative analysis through a personal survey to consumers for four types of retailing activities is performed. Data are analyzed through factor analysis and a structural equation model is estimated.

Confidence benefits and special treatment benefits have major influence on customer loyalty towards the retailer. These results are consistent across retail activities.

The present study is limited in its scope and a first approach is considered that it might inspire further research adding new constructs into the model in order to deepen into the analysis of the relationship between customer and retailer relational benefits.

Since the benefits related to purchase risk reduction and confidence are the most influencing on customer loyalty, the retailer should concentrate his efforts in offering guarantees for his products and carrying out communication campaigns for improving corporate image. Also actions providing special treatment benefits might have a positive influence on customer loyalty.

Relational benefits and results for the retailer are studied in four different retail activities.

In the context of relationship marketing, it is highly important for providers to identify the main buyer relational benefits influencing satisfaction and loyalty so that a continuous and satisfactory business relationship is guaranteed. Since it has been reported that information technology (IT) might constitute a source of satisfaction or dissatisfaction, this paper aims to test the moderating role of IT in the relationships between perceived benefits, satisfaction and loyalty in a business‐to‐business (B2B) setting.

A structural equations model was empirically tested. Additionally, the moderating role of IT in the relationships between perceived relational benefits, buyer satisfaction and loyalty towards the main supplier was tested through a multi‐sample analysis.

The results show that IT contributes to strengthen the link between satisfaction and loyalty. In contrast, the relationship between social benefits and buyer satisfaction is only observed for suppliers with low technological intensity.

While IT helps suppliers to turn satisfied customers into loyal customers, it hinders the relationship between social benefits and buyer satisfaction. Therefore, a series of recommendations on the use of IT solutions by service providers are proposed.

Although relational benefits have been studied in the scope of tourism companies in their relationships with end customers, there is still little evidence in the context of B2B relationships. This paper sheds additional light on this issue as well as analyzing the impact of IT on these relationships.

Research suggests that innovation plays a key role in creating a competitive edge and business survival in highly competitive industries like retail. Despite the importance of innovation in retail establishments, very limited efforts have been made so far to study how innovation influences consumer behavior in retail establishments. This paper aims to identify the impact of relationship benefits (i.e. confidence, social and special treatment benefits) on consumer’s loyalty with the retail store and examine the moderating effect of retailer innovation in these relationships.

To conduct this study, a sample comprised of 400 consumers of four retail sectors (i.e. household, electronics, textile and food) was chosen. The data were analyzed through partial least squares structural equation modeling (PLS-SEM) technique.

The findings of this research suggest a significant positive influence of confidence and special treatment benefits on consumer loyalty and that retail innovation moderates the link between relationship benefits and consumer loyalty.

This research contributes to the existing literature in the domain of retail customer loyalty by empirically testing the under-studied phenomenon of retail innovation with the help of contingency theory.

The purpose of this study is to examine the relationships between image congruence, tourist satisfaction and intention to revisit in marathon tourism. The results show that both affective image congruence (AIC) and cognitive image congruence (CIC) have a positive influence on tourist satisfaction and intention to revisit in the context of marathon tourism. The results also reveal that demographic and behavioural characteristics have a significant impact on revisiting intentions; and past experience of marathon tourism controls the relationship between image congruence and tourist satisfaction.

Numerous companies have launched branded applications to foster consumer–brand relationships. Due to fierce competition among branded apps, the retention rate is quite low. The facilitation of behavioural outcomes through branded apps is a highly relevant research area. This paper investigates the drivers of behavioural outcomes in the context of branded apps from an investment model perspective.

This work examines various branded apps primarily used by consumers in disparate product categories, namely, Target, Walmart, Under Armour, Nike, Pandora, Spotify, Starbucks, Burger King, Disney and Netflix. Four hundred and one valid online questionnaires were obtained and partial least squares structural equation modelling was used for data analysis.

The results obtained extend the investment model to the context of branded apps and show that app investment size and app satisfaction facilitate brand relationship commitment, successively enhancing app continuance intention, brand purchase intention and app word-of-mouth (WOM) intention. Furthermore, app confidence benefits and self-enhancement benefits facilitate app satisfaction, while app social benefits and special treatment benefits facilitate app investment size.

The present work applies an investment model to various branded apps to show how relationship components facilitate behavioural outcomes. We contribute to the literature by identifying four types of app relational benefits as drivers of relationship components in the context of branded apps.