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This paper aims to undertake a simultaneous assessment of interdependence in the behaviours of front-line and back-office employees and their joint effect on customer-related organisational performance. It also tests for a moderating influence of the emotional intelligence of front-line salespeople and back-office employees.

The sample comprises 105 front-line sales employees and 77 back-office employees. The customer-related organisational performance data come from a UK business-to-business (B2B) electronics company. With these triadic data, this study uses partial least squares to estimate the measurement and structural models.

Salespeople’s customer orientation directly affects customer-related organisational performance; the relationship is moderated by salespeople’s emotional intelligence. The emotional intelligence of salespeople also directly affects the customer-directed citizenship behaviour of back-office employees. Furthermore, the emotional intelligence of back-office staff moderates the link between the emotional intelligence of salespeople and back-office staff citizenship behaviour. Back-office staff citizenship behaviour, in turn, affects customer-related organisational performance.

The emotions deployed by employees in interactions with customers clearly shape customers’ perceptions of service quality, as well as employee-level performance outcomes. However, prior literature lacks insights into the simultaneous effects of front-line and back-office employee behaviour, especially in B2B settings. This paper addresses these research gaps by investigating triadic relationships – among back-office employees, front-line employees and customer outcomes – in a B2B setting, where they are of particular managerial interest.

This paper aims to outline the purpose, planning, development and delivery of the “1st Academic-Practitioner Research with Impact workshop: Customer Experience Management (CEM) and Big Data” held at Alliance Manchester Business School on 18th and 19th January 2016, at which four subsequent papers were initially developed.

The paper sets out a summary of the importance and significance of the four papers developed at the workshop and how the co-creative dialogue between managerial practitioners, presenting key problems and issues that they face, and carefully selected teams of academics was facilitated.

To develop richer and more impactful understanding of current problems challenging customer-focused managers, there is a need for more dialogue and engagement between academics and practitioners.

The paper serves as a guideline for developing future workshops that aim at strengthening the links between academia and the business world.

This paper highlights the value of academic–practitioner workshops for focusing academic research on areas of importance for practitioners to generate impact. The innovative format of the workshop and the resulting impactful papers should serve as a call and motivation for future academic–practitioner workshop development.

This study examines the propensity to innovate in automation of family firms (FFs) based on the socio-emotional wealth (SEW) perspective.

This study’s analysis is based on three aspects. First, the authors consider three main non-economic goals and priorities of FFs: the family’s relationship with employees (read as to care for their satisfaction and well-being); the inner pride of building and maintaining the family and firm image and reputation; and the inner feeling to be socially responsible. Second, the authors consider how these goals and priorities vary among FFs according to four dimensions: family ownership, the presence of family members on the board of directors, the involvement of young successors, and the presence of founding and later generations. Finally, the consequences of automation are considered: lower firm employment, lower employees’ satisfaction and well-being, and higher firm productivity. The analysis is based on a sample of 4,150 Italian firms.

The analysis revealed that FFs are less prone to innovate in automation than non-FFs. Specifically, family ownership, the presence of family members on the board of directors, and the presence of founding generation are negatively associated with innovation in automation. Instead, the involvement of young successors and the presence of later generation are positively associated with innovation in automation.

To the authors’ knowledge, this study is the first investigation that, based on SEW, examines how FFs act on the decision to innovate in automation, thereby providing empirical evidence.

At the onset of the COVID-19 pandemic, social distancing measures and diffuse communication by media led to consumers’ uncontrolled product purchases worldwide. This phenomenon was described as a psychological effect experienced by fictitious scarcity, anxiety and herd mentality exacerbated by the media. This exploratory study aims to analyze the impact of risk communication on the perceived risk from the psychological dimension of consumer behavior amid the COVID-19 pandemic.

An exploratory study was conducted through an electronic survey one week after implementing social distancing measures in Puerto Rico. With a sample of 353 participants, the data analysis was carried out by PLS-SEM, partial least squares structural equations (PLS-MGA), multi group test (MGA) and hierarchical component models to answer the research hypotheses.

The results revealed that risk communication activates the perceived psychological risk during the COVID-19 pandemic, and the way in which the consumer faces the psychological risk is explained by the perceptions of scarcity and the bandwagon effect.

To the best of the authors’ knowledge, this study is a pioneer in presenting relationships between risk communication and perceived risk in consumer behavior, a topic that needs to be addressed in the academic literature. The research makes significant contributions to the study of consumer behavior by empirically validating the three phases of the Conchar model – risk framing, risk assessment and risk evaluation – where risk communication offers an excellent delineation to understand the consumer’s behavior during a pandemic.

Clean and sustainable energy becomes an alternative to differentiate electricity suppliers, but it is necessary to have a better understanding of their behaviour to achieve green customer loyalty. This paper aims to deploy a behavioural model that helps explain loyalty of customers towards green electricity providers by including a series of antecedents such as trust, satisfaction, perceived environmental impact, propensity to trust and perceived risk.

The paper deploys a behavioural model that it is tested through structural equation modelling to a sample of 231 German electricity consumers with green contracts. The data analysis included two steps: first, the development and validation of the scales used to measure the constructs proposed in the model, and second, the model test.

Results demonstrate that trust and satisfaction directly influence loyalty, while satisfaction and the other variables included in the model have an indirect relationship with loyalty mediated by trust and satisfaction. As green characteristics of electricity are difficult to evaluate, managers should demonstrate in their communication the environmental effects of their activities while emphasising their capacity to attend to supply requirements for building long-term customer relationships.

The paper is focused on the understanding of those consumers who have signed a green electricity contract and the antecedents associated to their loyalty. The behavioural model helps identify how managers should apply marketing strategies to foster green consumers loyalty.

Poland has traditionally been perceived as a net emigration country. The scale of the recent inflow of foreigners to the country, however, places Poland among those states of growing attractiveness to migrants. Therefore, the main aim of this chapter is to present the Polish model of integration policy and describe the development of Poland's migration and integration policy at the national level. As the local perspective on migration and integration has become increasingly important, local policies are also presented through the example of several of the largest Polish cities. Additionally, the role of public discourse in shaping Polish society's attitude towards migrants is discussed. Finally, some aspects of economic migrants' integration are described.

Poland still lacks a long-term and comprehensive migration and integration policy that covers all areas of integration, and all categories of immigrants and so far only once, for a short period, has adopted migration policy at a national level. There is also little coordination among the different governmental bodies that deal with this issue. Therefore, only some of the crucial elements of integration policy at a national level, like the liberalization of the labour market, have occurred successfully. It seems that local policies, especially in large cities, have addressed more precisely various issues faced by immigrants, not only related to employment, and could foster the process of integration.

Meetings, incentives, conventions/conferences and exhibitions (MICE) tourism is a segment of business travel, which is experiencing a process of disintermediation. Using the value chain concept, this study aims to analyze the role and value of intermediaries in the MICE value chain. As the interests and perceptions of stakeholders are different, the authors also study if there is consensus or dissonance in their opinion.

This study uses mixed methods. First, by means of interviews with MICE professionals to identify the research variables and validate the test sample and questionnaire. Then, an international survey, which uses logistic regressions to identify the variables that support value. The post-hoc ANOVA test identifies the differences of opinions and determines the existence of consensus or dissonance.

Incoming agents create value by means of convenience and good rates and outbound agents by trust. The incoming agent is more valued and enjoys a position of power and therefore has more chances of remaining active in the market. However, there is no consensus about the role of intermediaries, hotels being the most dissonant stakeholder.

Instead of focusing on the negative aspects of disintermediation, this study uses a multifaceted perspective to identify the reasons that lead to value creation by intermediaries. This is vital for MICE stakeholders to acknowledge disintermediation and act consequently. Conclusions can also provide valuable guidance for intermediaries in other business to business interactions to better understand their value, competitive advantages and position of power.

This paper aims to deepen understanding of the role played by new technological tools used in customer–travel agency (TA) interactions by analysing the TA owner/managers' perceptions, pre- and post-Covid-19, regarding the effectiveness of in-store traditional and innovative tools.

This exploratory study is based on a questionnaire-based survey conducted among Italian TAs and distributed via email from September 2020 to January 2021.

The study highlights how, even among TAs, the role of in-store technology is gradually taking on greater importance, and it delves into the specific business and socio-demographic factors that seem to cause differences among agencies.

The study focuses on the Italian context, which does not allow for any generalisations. Furthermore, it is only the travel agent perspective that is observed and not the consumer's.

In addition to helping to bridge the literature gap, this study on in-store technologies focuses on the TAs sector, where human resources and human relationships play a decisive role in customer experience and interaction. The paper investigates the travel agents' point of view regarding the introduction of new in-store technologies; it also highlights their growing adoption and use, overall, despite the travel catalogue still remaining the main tool for interacting with customers. The study also shows how the advent of Covid-19 has increased travel agents' propensity to use digital technologies.

This contribution introduces sequence analysis to higher education research, an explorative technique aiming at detecting patterns, regularities and resemblance in time-ordered data. Thereby, it enables a holistic perspective on over-time developments and processes such as educational pathways or academic careers. In this contribution, the foundations and general logic of sequence analysis will be described. As an example, referring to the life course as a framing paradigm, sequence analysis is applied to reconstruct the study trajectories of a cohort of bachelor students in Germany. The potential of sequence analysis in three specific higher education research areas is outlined, that is, to study post-secondary education trajectories, academic careers and the development trajectories of higher education organizations. The conclusion discusses advantages and disadvantages, challenges and practicalities.