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Artificial intelligence–enabled voice assistants (VAs), such as Amazon's Alexa, Google Assistant, and Apple's Siri, are available in smartphones, smart speakers, and other digital devices and channels. Use of these VAs is growing rapidly and are expected to significantly impact purchase intentions. This article focuses on how the communications enabled and provided by these VAs influence VA evaluations and usage intentions, contingent on the stage of the customer journey.

This paper builds from work on VAs, work on artificial intelligence (AI) and work on communications, to offer a comprehensive and up-to-date understanding of how VA evaluations and usage intentions may be impacted by the communications from VAs, contingent on the stage of the customer journey.

This paper proposes a model for VA enabled communications impact VA evaluations. It builds from work on VAs, AI, communications, and customer journey management. In the proposed model, VA evaluations are not only impacted by source, message and recipient characteristics (per prior communication models), but also by (1) VA/AI specific features, like perceptions of humanness and perceptions of artificiality, and (2) stage of the customer journey.

This paper provides guidance to firms, as regards how VA communications may influence VA evaluations and usage intentions. As an initial conjecture, (1) increasing perceptions of humanness, (2) decreasing perceptions of artificiality (3) a better fit between communications style (e.g. abstract vs concrete), and request type (e.g. transactional vs informational) (4) a better fit between VA communications (e.g. information vs banter), and consumer perceptions of the VA (servant vs partner) and (5) a better fit between VA communications and the stage of the customer journey may positively influence VA evaluations and VA usage intentions.

This paper provides a fresh look at the impact of VA communications, clarifying how such communications impact VA evaluations and usage intentions at various stages of the customer journey.

Drawing on the theoretical domain of speech act theory (SAT) and a discussion of its suitability for setting the agenda for social media research, this study aims to explore a range of research directions that are both relevant and conceptually robust, to stimulate the advancement of knowledge and understanding of online verbatim data.

Examining previously published cross-disciplinary research, the study identifies how recent conceptual and empirical advances in SAT may further guide the development of text analytics in a social media context.

Decoding content and function word use in customers’ social media communication can enhance the efficiency of determining potential impacts of customer reviews, sentiment strength, the quality of contributions in social media, customers’ socialization perceptions in online communities and deceptive messages.

Considering the variety of managerial demand, increasing and diverging social media formats, expanding archives, rapid development of software tools and fast-paced market changes, this study provides an urgently needed, theory-driven, coherent research agenda to guide the conceptual development of text analytics in a social media context.

This work of imaginative splendour is the product, in the first place, of Israel Kirzner's magnificient effort in designing, directing and editing a symposium in honour of Ludwig von Mises. Its contents illustrate the presence still of giants in our profession: Lachmann with fifty years of fame; James Buchanan and Stephen Littlechild who lead the van of to‐day's subjectivism. The level of excellence is carried down the list by brilliant minds: Stephan Boehm, Mario Rizzo, Lawrence White, Brian Loasby and many others.

Innovation is key. It improves a nations’ standing in international competition and in-creases the productivity of the workforce – a significant aspect in aging societies with a declining entrepreneurial activity. But how can innovation be fostered? This paper argues that entrepreneurial culture is an underestimated solution to this difficult challenge. It therefore differs from common models in which other measures such as financial capital or networks play a predominant role and thus mask the influence of entrepreneurial culture on innovation in entrepreneurial ecosystems.

Using a qualitative literature analysis, the paper links various interdisciplinary touch points to the entrepreneurial ecosystem – including the individual-focused cognitive aspects of entrepreneurs, the social and spatial communities and the ecosystem as a service model.

The framework is conceptualized as a multi-layer model, enabling a discussion of policy measures in socioeconomic spaces with a short- and long-term perspective. It dispenses artificial assumptions and considers the complexity of human behavior as a strong and reciprocal driver of entrepreneurial culture.

With this framework, the paper tends to qualify policy makers and researchers in a de-tailed manner, when it comes to the formulation and application of culture-focused innovation policies.

The paper enriches the existing research with a new perspective on the relation between entrepreneurial culture and entrepreneurial ecosystems, which especially emphasizes the entrepreneurs experienced reality and its multi-level embeddedness.

Business failure is often described as a Rites of Passage for entrepreneurs. But what does this actually mean? This chapter returns to the original Rites of Passage material, from cultural ethnographers in the early twentieth century. By doing so, the author re-conceptualizes contemporary business failure as the Rites of Business Failure comprising a three-stage transitional process of separation, transition, and incorporation, which has a more socialized and a better understood role in society. Taking a sensemaking perspective, the author portrays the need for greater support for entrepreneurs as they experience business failure and re-establish their life. The author proposes many of the challenges entrepreneurs face over the Rites of Business Failure can be addressed through tailor-made training programs, networks, mentors, and role models which can all be utilized to assist people after the setback of business failure. Theoretically, the chapter contributes to literature on sensemaking and business failure. Practically, it holds implications for policy makers and practicing entrepreneurs.

The purpose of this paper is describing the seamless integration of the question‐answer interaction into automatic lecture recordings (ALRs). This includes the design and implementation of the question management (QM) software for a virtual camera team.

Coming from the human role model the interaction and its management to the virtual world is transferred and integrated it into a virtual camera team. All events are translated into sensor inputs which get processed by the virtual director and are used for the collaboration of the team in order to implement more complex cinematographic rules.

It is found that it is possible to record the whole interaction, to record the original voice of the questioner out of an audience without handing out a microphone or forcing him/her to walk to one, and to record a video of the questioner while asking. So, it is easier to follow a lecture recording as more details are recorded automatically.

First experiences on using this software clearly show the small weaknesses of the first version. As mentioned in the outlook, these are currently being addressed, e.g. by looking for a more natural interface.

The paper demonstrates how to use the question‐answer interaction as sensor input for an automatic lecture recording (ALR) system based on the roles of the according human originals. It ensures that many details of a lecture can be recorded seamlessly to keep the lecture context continuous and therefore to make the lecture recording more vivid and interesting.

Various types of short training programmes exist in Germany. This article aims to evaluate short training courses for welfare recipients and to detect which programme type works best with respect to different outcome indicators.

The author measures the impact of six short training programmes on the participants. She uses propensity score matching and large‐scale administrative data to find suitable comparison groups. She compares treatment to non‐participation as well as participation in different training types directly.

The results demonstrate that in‐firm training has large positive effects on individual employment prospects and stability. Furthermore, classroom skill training is more effective than other classroom types while application training is rather ineffective. Treating some of the application training participants with an alternative sub‐programme would improve the effectiveness.

The results show which training types work best. However, the results do not imply macro or cost‐benefit effects.

Several of the short training courses, mostly occupation‐specific sub‐programmes, are short and relatively inexpensive options to activate welfare recipients.

The paper analyses the effects of six short training programmes for welfare recipients that have not been analysed before. The sensitivity of the results is examined using a wide range of estimators and different outcomes.

Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.

The purpose of this paper is to introduce librarians, faculty, and other interested individuals to contemporary German literature in English translation.

German‐language authors born in 1950 or later and listed on the Contemporary Living Authors Comprehensive List developed by the German vendor Otto Harrassowitz are searched in OCLC's WorldCat database to determine the existence of English translations. A bio‐bibliographical list is then developed featuring all contemporary German‐language authors who have achieved an English language translation of at least one of their literary works.

Of the approximately 1,400 writers on Harrassowitz's comprehensive list, a surprisingly large number of almost 80 authors of the younger generation (born in 1950 or later) have been translated into English.

This bio‐bibliography of contemporary German belles lettres (of the younger generation) in English translation is the first of its kind. It can be used by librarians to check their current library holdings and to expand their collections of German literature in English translation.