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This chapter offers an experience-based report about the development of the first Scandinavian PhD program in tourism studies at Mid-Sweden University. This process is documented through a framework which, rather than having the coherence of a single clearly bounded discipline, focuses on tourism as a study area encompassing multiple disciplines. Tourism knowledge is derived through a synthesis of fact-oriented positivist methodologies and critical theory. The theoretical framework employed to develop the graduate program in tourism studies is presented by critically discussing its multidisciplinary base and briefly outlining future veins of further development.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

This article aims to place the emergence of coaching in its appropriate historical context and address the lack of historical attention given to this subject. In tracing the path the coach has taken in becoming a management concept, the article seeks to draw attention to its unique history as an object that has been transformed into a popular management concept.

This article reviews how coaching has been portrayed in various books, articles and research papers since appearing as a transportation object in the 15^th century.

The coach began as a technology used for transportation, evolved into an object that was associated with a type of status and then became a prominent character in sport, before ultimately becoming an influential management concept. Across historical periods discussions of coaching have tended to involve individuals who experience coaching. A consistent feature of these discussions is the issue of professionals and professionalism.

It is difficult to determine the date when our contemporary notions of the coach were first discussed, as these discussions originally involved slang, and a lag exists between talking about coaching and writing about it.

Concerns have been raised in the management discipline regarding the influence of research on practice and as advocates of coaching seek professional and scientific legitimacy, this historical review offers a perspective that can enhance discussions of these issues.

This paper places the popularity of this concept within a historical context that outlines how the idea of coaching evolved from a form of technology to a concept associated with a wide array of management topics.

Does client embeddedness lead to improved employee quality of life, such as job satisfaction, affective commitment and employee engagement? If so, is this relationship affected by gender, age, tenure and psychological contract breach (PCB)? The paper aims to discuss these issues.

Regression and ANOVA analysis of a two-wave sample (n=121) of employees working for an aged care provider.

Client embeddedness at Time 1 predicts employee quality of life at Time 2. However, in this sample, this relationship is unaffected by gender, age and length of service. High levels of PCB weakens the relationship between client embeddedness and job satisfaction.

The employee-client relationship directly improves quality of working life. However, it is unclear whether this finding is unique to this organisation, or whether client embeddedness can be cultivated over time or is a characteristic of an employee.

Organisations can substantially benefit from encouraging appropriate client-employee relationships. By adopting HR practices aimed at acquiring and cultivating client embeddedness through recruitment, performance management and training practices, organisations may increase employee quality of working life, and reduce employee turnover.

This paper substantially increases the understanding of client embeddedness by clarifying the direct effects of the client-employee relationship, and by identifying boundary conditions on the effect of client embeddedness. It also points to a distinct approach to recruiting and developing employees in client-facing industries.

Over 3 million intermittently employed and socially disadvantaged workers receive low wages and limited benefits in diverse long-term care settings and employment arrangements as they try to become a positively valued unified occupation: “direct care workers.” Before this occurs, these workers must overcome negative definitions imposed by three powerful institutions: professional guilds, employers, and states. Care workers’ legitimacy is challenged as nursing labels them “unlicensed, assistive personnel,” defining them in terms of their task relationship to nurses rather than their social relationship to clients. Care workers’ identity is obscured as corporate rationalization nullifies their unique contributions with task unbundling, part-time work, short staffing, and turnover undermining bonding with colleagues and clients. State regulation impedes care workers’ integration, segmenting similar workers under different regulatory regimes, defining workers negatively rather than by their educational attainments and competencies. Overcoming this triple negation will require not just cultural change, but also real structural changes, and can occur only through concerted actions involving coalitions. Labor market intermediaries, public authorities, labor unions, workforce investment boards, philanthropic organizations, and government interagency groups are among those supporting direct care workers’ advancement by strategically coordinating licensing, purchasing, and developing the workforce. Recent federal policy changes and health reform legislation have enhanced recognition of this occupation and are providing new resources for its development.

This exploratory research aims to identify the types of social networks established by German and French expatriates.

The authors use the concepts of social capital and social networks, as well as the societal and cultural approaches, to investigate the way expatriates develop their social networks. The authors' empirical study is based on 40 semi-structured interviews conducted with German and French expatriates.

The authors' findings show that German expatriates mainly establish professional networks, whereas their French counterparts also focus on personal networks. They further indicate that managing social capital lies within the individual responsibility of German expatriates, whereas it is part of higher education institutions in France.

The authors highlight the way German and French expatriates manage their social networks and provide novel insights into the role played by higher education systems and the cultural characteristics of their home country context.

The Volkswagen (VW) emissions scandal was one of the largest examples of organizational wrongdoing in corporate history, costing the firm immense damage to its reputation and over $33 billion in fines, penalties, financial settlements, and buyback costs. In this paper, we draw on the concept of boundary work to provide insight into the causes of wrongdoing at VW. Supplementing other work on the scandal, we show how the ways in which boundaries became established in the organization resulted in an internal context that defined “in” and “out” groups, normalized certain behaviors, and limited communication across intraorganizational boundaries. This allowed wrongdoing to not only become established but also to go unchallenged. We provide contributions to broader understandings of organizational wrongdoing and to the temporal unfolding of boundary work by theorizing how a combination of cognitive, horizontal, and vertical boundaries can create an infrastructure of organizational design that permits organizational wrongdoing, prevents it being challenged, and ultimately normalizes it in everyday activities.

The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering approaches to identify POIs in various application scenarios.

The study, first, extracts photo metadata from Flickr, such as upload time, location and user. Then, photo uploads are assigned to latent POIs by density-based spatial clustering of applications with noise (DBSCAN) and k-means clustering algorithms. Finally, association rule analysis (FP-growth algorithm) and sequential pattern mining (generalised sequential pattern algorithm) are used to identify tourists’ behavioural patterns.

The approach has been demonstrated for the city of Munich, extracting 13,545 photos for the year 2015. POIs, identified by DBSCAN and k-means clustering, could be meaningfully assigned to well-known POIs. By doing so, both techniques show specific advantages for different usage scenarios. Association rule analysis revealed strong rules (support: 1.0-4.6 per cent; lift: 1.4-32.1 per cent), and sequential pattern mining identified relevant frequent visitation sequences (support: 0.6-1.7 per cent).

As a theoretic contribution, this study comparatively analyses the suitability of different clustering techniques to appropriately identify POIs based on photo upload data as an input to association rule analysis and sequential pattern mining as an alternative but also complementary techniques to analyse tourists’ spatial behaviour.

From a practical perspective, the study highlights that big data sources, such as Flickr, show the potential to effectively substitute traditional data sources for analysing tourists’ spatial behaviour and movement patterns within a destination. Especially, the approach offers the advantage of being fully automatic and executable in a real-time environment.

The study presents an approach to identify POIs by clustering photo uploads on social media platforms and to analyse tourists’ spatial behaviour by association rule analysis and sequential pattern mining. The study gains novel insights into the suitability of different clustering techniques to identify POIs in different application scenarios.

本论文旨在分析图片分享平台Flickr对截取游客空间动线信息和景点（POI）游览行为的适用性, 并且对比最知名的几种聚类分析手段, 以确定不同情况下的POI。

本论文首先从Flickr上摘录下图片大数据, 比如上传时间、地点、用户等。其次, 本论文使用DBSCAN和k-means聚类分析参数来将上传图片分配给POI隐性变量。最后, 本论文采用关联规则挖掘分析（FP-growth参数）和序列样式勘探分析（GSP参数）以确认游客行为模式。

本论文以慕尼黑城市为样本, 截取2015年13,545张图片。POIs由DBSCAN和k-means聚类分析将其分配到有名的POIs。由此, 本论文证明了两种技术对不同用法的各自优势。关联规则挖掘分析显示了显著联系（support：1%−4.6%；lift：1.4%−32.1%）, 序列样式勘探分析确立了相关频率游览次序（support：0.6%−1.7%。

本论文的理论贡献在于, 根据图片数据, 通过对比分析不同聚类分析技术对确立POIs, 并且证明关联规则挖掘分析和序列样式勘探分析各有千秋又互相补充的分析技术以确立游客空间行为。

本论文的现实意义在于, 强调了大数据的来源, 比如Flickr,证明了其对于有效代替传统数据的潜力, 以分析在游客在一个旅游目的地的空间行为和动线模式。特别是这种方法实现了实时自动可操作性等优势。

本论文展示了一种方法, 这种方法通过聚类分析社交媒体上的上传图片以确立POIs, 以及通过关联规则挖掘分析和序列样式勘探分析来分析游客空间行为。本论文对于不同聚类分析以确立不同适用情况下的POIs的确立提出了独到见解。

Current research suggests a positive link between followers’ perceptions of their leaders’ expression of positive emotions and followers’ trust in their leaders. Based on the theories about the social function of emotions, the authors aim to qualify this generalized assumption. The purpose of this paper is to demonstrate that followers’ perceptions of leaders’ expressions of specific positive emotions – namely, pride and gratitude – differentially influence follower ratings of leaders’ trustworthiness (benevolence, integrity, and ability), and, ultimately, trust in the leader.

The hypotheses were tested using a multimethod approach combining experimental evidence (n=271) with longitudinal field data (n=120).

Both when experimentally manipulating leaders’ emotion expressions and when measuring followers’ perceptions of leaders’ emotion expressions, this research found leaders’ expressions of pride to be consistently associated with lower perceived benevolence, while leaders’ expressions of gratitude were associated with higher perceptions of benevolence and integrity.

This paper theoretically and empirically establishes that leaders’ expressions of discrete positive emotions differentially influence followers’ trust in the leader via trustworthiness perceptions.