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This chapter guides the reader to an understanding of social responsibility in educational settings, namely on school/university social responsibility (USR). The phenomenon of social responsibility in these settings is nuanced when encountering stakeholders, either external or internal. This chapter conceptualizes school/USR and describes related stakeholders and their management strategies. In addition to this, the chapter discusses eight transition lines of stakeholders developed on the expectations of stakeholders, the degree and the format of engagement and impacts on society and institutions: pupil–student; teachers-academics; parents; alumni; future employers; business sector; funding providers; and society at large. It concludes that a managerial pattern while implementing social responsibility by involving stakeholders differs by educational setting. This is to say that school social responsibility is rather carried out through process, whereas USR concerns both process and outputs. This distinction results in introducing the definition of school/USR as a commitment toward performance based on ethical and other conventional principles that are respectively substantiated in the mission, values and related activities in the interplay with all possible stakeholders in order to create social value foremost.

It is proposed to build a development which illustrates and analyzes the different strategic planning that the main brands of the Hospitality Industry have written to communicate their new strategic direction through their Sustainability and Corporate Responsibility reports. The chapter is developed through a detail of five main brands, but it is based upon a research carried out on 17 hotel chains, in particular: AccorHotels, Best Western Hotels, Boscolo Hotels, Carlson Rezidor Hotel Group, Choice Hotel, Extended Stay America Inc, Four Seasons Hotels and Resorts, Hilton Worldwide, Hyatt Hotels Corporation, InterContinental Hotels Group, Kempinski, La Quinta Inns & Suites, Marriott International, Meliá Hotels International S.A., NH Hotel Group, Vantage Hospitality, Wyndham Worldwide.

The reading of the CRR (Corporate Responsibility Report) has exposed that there is no homogeneity in the structure of the documents contained, both in theoretical and methodological approach: the need for the hotel chains to incorporate the themes of Responsibility and Corporate Sustainability in their business remains. The intention of the research is to offer an overview over the commitments' construction in the CRR of the hotels' chains in order to illustrate whether the corporate strategy of the CRR is lead by choices of strategic repositioning or it is the result of choices of cost rationalization. The development of the chapter focuses on the assessment of the four following points:

1. Development of the green commitments and the Corporate Strategy

2. Factors related to cost advantage

3. Factors related to differentiation advantage

Development of the green commitments and the Corporate Strategy

Factors related to cost advantage

Factors related to differentiation advantage

All the information gathered and analyzed in the research come from official sources found in the Hotel Chains to assess the level of transparency of the performances achieved in relation to the commitments communicated and widespread through the CRR, the CSR reports, the Corporate Annual Report, international projects that integrate the performances and the initiatives that compose and accompany the sustainable and responsible planning that has been used, displayed or downloaded from the corporate website.

Reynolds-averaged Navier–Stokes (RANS) models often perform poorly in shock/turbulence interaction regions, resulting in excessive wall heat load and incorrect representation of the separation length in shockwave/turbulent boundary layer interactions. The authors suggest that this can be traced back to inadequate numerical treatment of the inviscid fluxes. The purpose of this study is an extension to the well-known Harten, Lax, van Leer, Einfeldt (HLLE) Riemann solver to overcome this issue.

It explicitly takes into account the broadening of waves due to the averaging procedure, which adds numerical dissipation and reduces excessive turbulence production across shocks. The scheme is derived based on the HLLE equations, and it is tested against three numerical experiments.

Sod’s shock tube case shows that the scheme succeeds in reducing turbulence amplification across shocks. A shock-free turbulent flat plate boundary layer indicates that smooth flow at moderate turbulence intensity is largely unaffected by the scheme. A shock/turbulent boundary layer interaction case with higher turbulence intensity shows that the added numerical dissipation can, however, impair the wall heat flux distribution.

The proposed scheme is motivated by implicit large eddy simulations that use numerical dissipation as subgrid-scale model. Introducing physical aspects of turbulence into the numerical treatment for RANS simulations is a novel approach.

Stakeholder paradigm has been gaining currency over the past few decades and technological breakthroughs have been influential in building its momentum. Hyper-Transparency is emerging as a building block and as an indispensable concomitant of stakeholder paradigm. The crux of a Hyper-Transparent organization is trust. The new paradigm requires substituting translucent and opaque business practices with fully transparent ones under which lasting trust can be built between the organization and its stakeholders. However, the nub of the stakeholder paradigm is the changes inside the organizations as well as changes in relation to their external environment, and transparency is both a driver and a resultant of these changes. Transparency is an integral part of corporate social responsibility debate and an eristic issue for the stakeholders. Moreover, Hyper-Transparency empowers the stakeholders to considerably influence the decision making sphere. In this chapter, transparency, its drivers and tools as well as the power of stakeholders in the new age of Hyper-Transparency alongside a number of case studies are presented.

The management of stakeholder involvement within innovation projects is a task of growing importance. The purpose of this paper is to present a method for the first challenge in stakeholder management: the identification of those stakeholders to be involved in innovation projects.

Analysis of stakeholder literature leads to the conclusion that stakeholder identification is considered a problem of classification. Although the availability of a classification model is necessary, it is argued that for a classification model to be of use in identifying stakeholders, such a model needs to be supplemented with an identification procedure for identifying real world parties. Furthermore, a classification model should fit the context the stakeholders are identified for, in this case for innovation projects. These insights have led to the development of a classification model fitting the innovation context, and to the embedding of this model, along with a matching identification procedure, in an identification method.

A partial and integral evaluation of the method on four cases showed its efficacy in the managerial practice of identifying stakeholders within innovation projects.

The method as proposed in the paper can be used for identifying stakeholders in innovation projects. The method can be considered a first step in managing stakeholder involvement.

In the literature on complaint management the importance is acknowledged of learning from complaints. Still, the concept of organisational learning has not yet been embedded in the field of complaint management. Therefore, this paper aims to adjust a general model for organisational learning to the concept of complaint management in order to make it operational for this field.

The notion of organisational learning in combination with complaint management is modelled as a system. This system enabled us to analyse the practices of handling and analysing complaints within six Dutch service organisations and to assess the potential of these organisations for organisational learning.

The results of the paper categorise a variety of complaint management practices along two elements of organisational learning: triggers and modes of learning (i.e. informational learning or interactive learning).

Further research should include the applicability of the learning model to different sectors or organisations.

This collection of practices can be used as a managerial guideline for improving the processes of learning from complaints.

This paper contributes to embedding the concept of organisational learning in the field of complaint management.

This research analyzes the roles of users in innovative digital health collaborative projects from the perspective of the user by considering three dimensions: their motivation, project activities and the support of the partnership for their effective involvement.

The authors unraveled profiles of users by using a Q-methodological analysis of 24 statements and 44 service users. The statements for the three dimensions were designed according to previous models of stakeholder identification and customer participation in new product management.

The authors obtained two profiles that advocate active participation of users, though with a different degree of involvement. One of them supports the role of users as “advisors” of users' preferences and needs, and the other indicates a higher involvement of users as “cocreators” of the innovation, with the same contribution and responsibility as the other partners.

Previous research has analyzed user involvement in digital health, as part of wider research on factors leading to the success and adoption of innovations. Moreover, previous research has analyzed user involvement in innovation projects, but without differentiating between projects carried out by an individual organization and those conducted by a partnership. This research contributes to filling this gap by revealing users' expectations about their involvement and how they think they will fit in with the dynamics of collaborative projects.

This study proposes a new framework for business process improvement (BPI) by identifying areas of improvement based on customer complaints.

The proposed framework comprises several stages. The first stage captures the voice of customer (VoC) in the form of customer complaints. The complaints are processed using text mining and sentiment analysis. Negative sentiments indicate areas for improvement by matching words with SERVQUAL dimensions. The FMEA method is used to identify business processes that need to be improved.

The opposing quality dimensions of SERVQUAL can be incorporated into a database for later identifying consumer complaints. FMEA can be used to identify potential failures in aspects that correspond to consumer complaints; therefore, improvement areas can be identified. The proposed framework, applied to a garment manufacturer, shows that the SERVQUAL dimensions, which were originally intended for service companies, can be adapted to manage customer complaints to support BPI in manufacturing companies.

The framework can be used by either the manufacturing or service industries to handle customer complaints and use the complaint analysis results to identify improvement areas to avoid the same complaints occurring in the future.

In this study, the construction of a database based on the SERVQUAL dimension to match sentiment results, where negative sentiment indicates improvement, and the use of FMEA to indicate specific business processes that should be improved is novel and has not yet been proposed by previous studies.

Green financial technology (FinTech) has received attention for promoting green finance investment and sustainable development. However, how consumer social responsibility and long-term orientation influence the continuance intention of green FinTech users remains unknown in the literature. To fill this gap, consumer social responsibility and long-term orientation are combined with the unified theory of acceptance and use of technology to develop a research model to investigate their moderating effects on the continuance intention of green FinTech users.

A random probability sampling method was adopted, and 377 valid responses were collected to verify the proposed model. Partial least squares structural equation modeling was employed for the data analysis.

Performance expectancy, effort expectancy, social influence and facilitating conditions have significant positive impacts on the continuance intentions of green FinTech users. Surprisingly, consumer social responsibility enhances the effects of performance expectancy and social influence on continuance intention but negatively moderates the effect of facilitating conditions on continuance intention. Moreover, a long-term orientation can increase the impact of facilitating conditions on continuance intention but decrease the impact of performance expectancy on continuance intention.

This paper proposes a research model that reveals how consumer social responsibility and long-term orientation moderate the relationship between the unified theory of acceptance and use of technology (UTAUT) and the continuance intention of green FinTech users to fill a gap in the literature.