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The purpose of this paper is to test whether self-verification striving serves as an individual difference antecedent of emotional labor and explore whether various emotional labor tactics acted as mediating mechanisms through which self-verification striving relates to employee outcomes.

The sample used in this paper consisted of supervisor–subordinate dyads working in six hotels in South Korea and used multi-level analyses and the Monte Carlo method to test the research hypotheses presented in this paper.

Self-verification striving was positively and directly related to job performance as well as two out of three forms of emotional labor (i.e. the expression of naturally felt emotions and deep acting). Self-verification striving also indirectly related to job satisfaction through the expression of naturally felt emotions and indirectly related to job performance through deep acting.

The findings of this paper suggest that organizations should consider self-verification striving as an employment selection criterion and provide training programs to help their customer service employees engage in appropriate types of emotional labor.

This paper is the first to explore the underlying mechanisms through which self-verification striving relates to employee outcomes. It also empirically bolsters the notion that expressing naturally felt emotions is an important means of authentic self-expression that positively contributes to job satisfaction. Further, the authors found that self-verification striving positively relates to job performance partially through deep acting. Moreover, they have shown that self-verification striving, as an individual differences variable, is an antecedent of different types of emotional labor.

The volatility of bitcoin (BTC) and time horizon is the center point for investment decisions. However, attention is not often drawn to the relationship between BTC and equity indices. Thus, the purpose of this paper is to investigate the volatility and time frequency domain of BTC with stock markets.

The purpose of this paper is to examine the role of graduate recruitment in the professional socialisation and subjectification of Big Four professionals.

The paper draws on documentary data and interviews conducted at one British university. It adopts an interpretive perspective and is informed by Foucault’s work on technologies of power and technologies of the self.

The paper argues that the graduate recruitment practices of Big Four firms represent a series of examinations which produce the category of ideal recruits. It moreover suggests that this category serves as the ultimate objective of an ethical process whereby aspiring accountants consciously and deliberately seek to transform themselves into the type of subjects they aspire to be – ideal recruits.

The findings of the paper are primarily based on interviews conducted at one university. Future research could explore if students at other universities experience graduate recruitment in similar or different ways.

The paper highlights the constitutive role of graduate recruitment practices and shows that they can construct ideal recruits as much as they select them. It also shows that graduate recruitment is an important anticipatory socialisation mechanism that can compel aspiring accountants to learn how to look, sound and behave like Big Four professionals long before they join such organisations. Finally, the paper discusses its implications for the future of the profession, social mobility and the use of Foucault’s work on technologies of power and the self in studying subjectivity at elite professional service firms.

The purpose of this paper is the better understanding of the increasing relation between big data 2.0 and neuromarketing, particularly to influence election outcomes, along with a special aim to discuss some raised doubts about Trump’s presidential campaign 2016 and its ability to hijack American political consumers’ minds, and to direct their votes.

This paper combines deductive/inductive methodology to define the term of political neuromarketing 2.0 through a brief literature review of related concepts of big data 2.0, virtual identity and neuromarketing. It then applies a single qualitative case study by presenting the history and causes of online voter microtargeting in the USA, and analyzing the political neuromarketing 2.0 mechanisms adopted by Trump’s political campaign team in the 2016 presidential election.

Based on Trump’s political marketing mechanisms analysis, the paper believes that big data 2.0 and neuromarketing techniques played an unusual role in reading political consumers’ minds and helping the controversial candidate to meet one of the most unexpected victories in the presidential elections. Nevertheless, this paper argues that the ethics of using political neuromarketing 2.0 to sell candidates and its negative impacts on the quality of democracy are and will continue to be a subject of ongoing debates.

The marriage of big data 2.0 and political neuromarketing is a new interdisciplinary field of inquiry. This paper provides a useful introduction and further explanations for why and how Trump’s campaign defied initial loss predictions and attained victory during this election.

Business Model Innovation is increasingly created by an ecosystem of related companies. This paper aims to investigate the transition of a manufacturing ecosystem toward electric vehicles from a business model perspective.

The authors investigate an automotive manufacturing ecosystem that is in transition toward electric and electrified vehicles, conducting semi-structured interviews with 46 informants from 27 ecosystem members.

The results reveal that the actions of several ecosystem members are driven by regulations relating to emissions. Novel requirements regarding components and complementary offers necessitate the entry of actors from other industries and the formation of new ecosystem members. While the newly emerged ecosystem has roots in an established ecosystem, it relies on new value offers. Further, the findings highlight the importance of ecosystem governance, while the necessary degree of change in the members' business models depends on their roles and positions in the ecosystem. Therefore, upstream suppliers of components must perform business model adaptation, whereas downstream providers must perform more complex business model innovation.

The paper is among the first to investigate an entire manufacturing ecosystem and analyze its transition toward electric vehicles and the implications for business model innovation.

This paper aims to better understand how business model innovation (BMI) occurs in the context of sustainable entrepreneurship, emphasizing the dialectical nature of entrepreneurial relationships. To do so, key interdependencies and reciprocal influences between internal/firm-specific and external/environmental factors underlying BMI for sustainability are analysed through co-evolutionary lenses.

A co-evolutionary framework is developed and applied to a longitudinal business model (BM) analysis of 15 Italian widespread hotels, which creatively use historic villages at risk of abandonment to establish their hotels.

Largely influenced by the interplay between internal and external factors, BMI of widespread hotels occurs through multilevel co-adaptations, which are recognised as virtuous by all stakeholders involved. Effective variations of the BM value elements are selected resulting in circular economy practices, which are retained for successful BMI, radical (first) and incremental (thereafter). Knowledge of specific local and multi-local conditions, time awareness and a future-oriented temporal perspective, by both entrepreneurs and policymakers, favour this dynamic.

Developing targeted policies and practices based on increased organisational knowledge supported by indicators can help in selecting and retaining successful variations of BMs appropriately in/with time with positive effects on firms' performance and sustainable development.

This study provides a novel co-evolutionary framework that explicitly links sustainable entrepreneurship and BM concepts in the accommodation sector. It further proposes a dynamic and holistic explanation of BMI for sustainability from which the crucial roles of the time-knowledge binomial and circular practices emerge.

Firms can choose from an array of approaches for reducing the detrimental financial effects caused by unfavorable fluctuations in commodity prices. The purpose of this paper is to provide guidance for effectively estimating the financial effects of mitigating commodity price risk volatility (CPV) in supply chain management decisions.

This paper adopts two prominent and complementary methodologies, namely, total cost of ownership (TCO and real options valuation (ROV), to illustrate how commodity price risk mitigation strategies can be analyzed with respect to their effect on costs and performance. The paper provides insights through a case study to demonstrate the application of these methods together and establish the benefits and challenges associated with their implementation.

The paper illustrates advantages and disadvantages of TCO and ROV and how these approaches can be adopted together to contribute to effective purchasing decisions. Supply chain flexibility is a key capability but requires investments. Holistically measuring the financial effects of flexibility investments is imperative for gaining executive management support in mitigating commodity price volatility.

This study can provide supply chain professionals with useful guidance for measuring the costs and benefits related to developing strategies for mitigating commodity price volatility. TCO provides a focus on the costs associated with the commodity purchasing process, and ROV enables the aggregation of all the costs and benefits associated with the use of the strategy and synthesizes them into the net value estimate.

The paper provides a comparison of different but complementary approaches, specifically TCO and ROV, for analyzing the effectiveness of CPV risk mitigation decisions. In addition, these two methods allow supply chain professionals to evaluate and control the financial effects of CPV risk, particularly the impact of mitigation on firm’s cash flows.

This paper has two objectives: first, to investigate the state-of-the-art of Industry 4.0 (I4.0) adoption in Italian manufacturing firms and, second, to understand variations in technologies implemented and business functions involved, benefits perceived, and obstacles encountered in I4.0 implementation over a three-year period.

The approach adopted in this research is descriptive, nesting longitudinal features. The paper presents a descriptive survey of 102 Italian manufacturing companies. The authors also evaluated non-response biases. The longitudinal approach was achieved by comparing the responses of the 40 sub-samples in common with a second similar survey launched three years prior, which aimed to identify patterns of evolution in the adoption of the I4.0 paradigm.

Survey findings demonstrate that Italian manufacturing companies still have limited awareness of I4.0 technologies, and the adoption of I4.0 technologies differs per technology. Company size and information system coverage level are the two factors that impact the company's technology adoption level. The comparative study shows that knowledge and adoption increase in a three-year interval with an unbalanced involvement of business functions regarding the I4.0 transformation. Indeed, companies are still seeking I4.0 solutions to reduce costs and lead times primarily, and the benefits perceived by companies are shown to be related to the number of I4.0 technologies in use. Finally, when companies put the I4.0 technologies into practice, competence is constantly considered the most significant barrier.

This paper aims at conducting a thorough investigation into the development of I4.0 adoption in manufacturing companies. The main limitation of this study concerns the limited number of subjects involved in the longitudinal study (40) and the focus on a limited geographical area (Italy). In addition, more I4.0 technologies could also be incorporated into the survey protocol to gain further insight into I4.0 development.

The authors provide one of the first attempts to assess the variations of I4.0 implementation concerning technology adoption, business function involvement, and the alteration of benefits and obstacles. Several studies presented in the literature highlight the lack of longitudinal studies investigating the development of the I4.0 paradigm in a specific manufacturing context: this paper is the attempt at filling this gap.

A case study about the creation of four scenarios that were used to make sense of the fast-moving pace of COVID-19 and the consequences for New Zealand tourism.

Adapting global visitor economy scenarios, a set of New Zealand tourism scenarios were constructed using a “back of house Shell” method and were supplemented with an expert panel to test the reliability and validity of the scenarios.

The four scenarios constructed were based on two critical uncertainties, namely economic recession and the moral dilemma of the consumer. Four scenarios were portrayed using film and TV titles to help participants visualise the scenarios. Crazy Rich Asians: Recovery represented many of the attributes of tourism in New Zealand prior to COVID-19 i.e. a focus on high value tourists from Asia. Contagion: Survival of the Fittest represented the reality of the COVID-19 pandemic. This Side of Paradise: ReThinking Tourism focused on rebuilding tourism based upon the principles of sustainability. The Colony: Gated Communities represented fortress destinations trying to keep COVID-19 at bay. Each scenario portrayed several features including a unique narrative, tourism, the tourist, vision, strategy and risks. The paper highlighted the trade-offs and conflicts between the scenarios as COVID-19 unfolded in different directions.

In a fluid situation, the paper reminds readers of the value of scenarios as framing devices to understand the fast-moving pace of COVID-19 when New Zealand was in unchartered waters. Thus, this study highlights how a scenario-planning process builds resilience and foresight to help stakeholders and actors make sense of crisis situations.

Building on the existing literature and on a series of interviews conducted in very diverse coworking spaces, this article attempts at analyzing coworking by focusing on the historical evolution and heterogeneity of its interpretations, as well as the plurality of its realization in practice and prospective developments.

The theoretical framework adopted is Cultural Historical Activity Theory – a dialectical approach which allows the study of human activities as historically evolving and complex systems which change under the impulse of their inner contradictions. The analysis presented here starts with an overview of the history of the theoretical elaborations and discussions of coworking. The authors then focus on the experiences and interpretations of this phenomenon as conveyed by coworkers and coworking managers in the north of Italy – one of the most active coworking areas in Europe.

Coworking first emerged as a way of promoting forms of work and organization that require simultaneous, multidirectional, and reciprocal work, as understood in contrast to forms that incorporate an established division of labor, demarcated communities, and formal and informal sets of rules. However, with time, coworking has evolved toward novel directions, giving rise to heterogeneous interpretations of it. Inquiry constitutes a deeper investigation of the heterogeneity of coworking. The take-away message here is that the prefix co- in coworking can be interpreted, through a play of words, to evoke multiple positions and views conveying internal contradictions.

The historical overview of coworking shows a strong differentiation and multisided interpretation of this phenomenon along two dimensions of historical development, namely, social and business, and outward and inward. The qualitative analysis of the interviews traces the different lived interpretations and conceptions of coworking. The analysis confirms, on the one hand, the complexity and heterogeneity described in the literature, and on the other hand, it enriches the literature by depicting the contradictory nature of the phenomenon, including how the historical and inner tensions of coworking are dynamically evolving in the concrete experiences reported by the managers and users in the coworking spaces.