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The purpose of this paper is to identify the centrality of anxiety in health care, especially in the context of leading change. It identifies the importance of emotional labour for clinical professionals and the resultant development of defensive routines. The idea of containment is central to addressing anxiety.

The approach involves identification of anxiety as a key factor in leading change in health care, but one which is often ignored.

Anxiety is the elephant in the room vis-a-vis leading change in health care. To address the use of defensive routines, a range of activities can act as “containers” for anxiety and help with leading change.

To lead change in health care implies addressing the existence and importance of anxiety and the emotional labour which health-care professionals undertake.

The existence of anxiety and the profound impact it has on leading change in health care has typically been under-estimated or avoided. The paper aims to remedy this.

The diversity of perspectives means that one can find many factors and models of proenvironmental behavior. However, they typically suffer from limitations and varying degrees of validity in specific contexts, suggesting that today the prime goal should be to learn and improve the models which have been already developed. In this study, the authors build on the model for predicting proenvironmental behavior developed by Oreg and Katz-Gerro (2006), namely one of the most comprehensive cross-national proenvironmental behavior models and one of the few not to be limited to either a local or single-country context or specific proenvironmental behavior.

By using the statistical matching technique, the authors merged data from two existing databases without common identifiers – the International Social Survey Program (environmental module) and the European Social Survey (Round 5). The resulting multinational data concerning 9,710 observations enabled a replication with extensions of Oreg and Katz-Gerro's (2006) proenvironmental behavior model that incorporates newly added Schwartz's theory of human values. To achieve the study's main objective, that is, to present improvements to the original model of proenvironmental behavior, the authors used structural equation modeling (SEM) procedures to estimate four competing models in the R program.

This study implies that Schwartz's individually measured motivational types of values (benevolence [BE], universalism [UN], self-direction [SD]) are predictors of people's proenvironmental behavior, while his conceptualization of post-materialism yields a better model fit than Inglehart's country-level post-materialism scores. The results also corroborate previous findings that post-materialist values can stimulate proenvironmental behaviors through attitudes, perceived behavioral control and intentions. The present study reveals that proenvironmental attitudes did not change substantially in the 10-year period, even though the world's environmental and sustainability challenges have largely increased. Surprisingly, the mean value of several of the perceived threat variables even decreased.

The authors externally validate one of the most comprehensive proenvironmental behavior models by reproducing it using new multinational large-sample data with nearly 10,000 observations collected 10 years later. The most significant addition to the original model introduced in the current study is the inclusion of Schwartz's motivational types of values, which are measured at the individual level, namely BE, UN and SD. The authors also extend the model by adding proenvironmental behavior measures and group the construct into three latent variables: saving natural resources, green purchasing and environmental activism.

Migrants play an essential role in economic and societal outcomes of the host society, both as members of the workforce and as citizens. However, integration and finding employment after migration remain critical issues. The purpose of this paper is to employ an evidence-based quantitative approach to identify migrant workers’ most important qualifications from an employer perspective and to explore factors that influence employer perception of migrants.

This study uses European Social Survey data that contain responses from managers in European countries in 2014 (n=2,828) and 2016 (n=3,014). Confirmatory factor analysis and structural equation modelling are used to analyse the data.

For managers, migrants’ commitment to the host country’s way of life is more important than their job skills, educational level and language proficiency. The effects of managers’ individual characteristics, including demographics, expectancies and personal values, on their general attitude towards migrants are also quantified.

The study’s outcomes can assist migrants to develop the qualifications most valued by employers, and allow policymakers to integrate the organizational perspective into policies and initiatives for integration of migrant labour.

Through HR practices, organizations significantly affect migrants’ career outcomes. Yet research on migrant workers from an organizational and managerial perspective is limited. This study identifies migrant workers’ most important qualifications from an employer perspective. It also explores which individual characteristics most influence organizational decision-makers’ perception. Utilizing a cross-cultural and longitudinal data set provides a unique opportunity to generate generalizable findings.

Seed accelerators (SAs) appear as a more advanced version of business incubators. These for-profit organizations in exchange of equity, help setting new start-ups by providing mentoring and funding during its first months. Due to their emergent nature, the impact and expectations of SAs remains largely unknown. Therefore, the purpose of this study is to throw new light on this field by empirically assessing for the first time the performance and prospects of these organizations through a survey of 116 SAs.

A model based on the Business Incubators literature is built with four categories covering size, location, age and profitability variables, leading to two hypotheses to be tested empirically over a survey of 116 SAs.

Some remarkable findings arise after implementation of both bivariate and multivariate analysis. The results confirm a higher size and performance in the US and in the oldest SAs at statistically significant levels.

The study is not free from limitations but the findings make a contribution to the still scarce existing literature on SAs, and provide some managerial implications to their stockholders, to investors and to entrepreneurs.

The findings concerning performance indicators are especially helpful for investors, primarily concerned with the percentage return on investment factor, the period and the investment rounds needed to achieve exit. Another key issue is the SA's role as an employment seedbed. At first glance, the amount of employment, both overall and per company, might seem small given the young age of these firms. The impact of SAs on the generation of new employment is difficult to measure as it usually takes place in further stages of development of the tenant companies, the so-called scale-up process. Nonetheless, at present, the number of new companies being born is remarkable and, in terms of employment, the results are indeed promising. Our findings also offer important implications for entrepreneurs, venture investors and policy-makers. To entrepreneurs, our findings offer insight on the expectations to hold in the accelerator programs.

For policy-makers and would-be accelerator founders, our results support the idea shared in the literature that accelerators can be an effective entrepreneurial intervention, even in small entrepreneurial ecosystems, compared to the strongest entrepreneurial hubs (Hallen et al., 2017).

SAs are a very recent phenomenon which is blooming all over the world, especially in developed countries. SAs are therefore considered a key agent in the prospects of any entrepreneurial ecosystem. However, no studies have so far analysed the impact and performance of this emerging instrument. This is precisely the main purpose of this paper, to offer for the first time an approximate and exploratory assessment on the impact and prospects of SAs, based on a database.

種子促進中心，以企業孵化中心的更高級版本的形態出現。這些營利組織、在企業剛開始營運的首數個月內提供指導及資金，以換來股權。由於種子促進中心是從未有過的，故其影響及人們寄予的期望大致仍為未知之數。因此，本研究旨在這範疇內提供新的知識，以實證方法，透過調查116間種子促進中心，首次對這類組織的表現及前景進行了評估。

研究人員根據關於企業孵化中心的文獻建立了一個模型，內容包括四個範疇，﹔涵蓋的變量為：規模大小、地域位置、經營年期及盈利狀況。這模型提供了兩個以實證方法、透過調查116間種子促進中心來進行驗證的假設。

透過進行二元及多元分析取得卓越的研究結果。研究結果確認了在美國的種子促進中心及歷史最悠久的種子促進中心在統計意義上顯著地呈較具規模及表現更佳。

本研究不是沒有局限的。唯研究結果為現時在種子促進中心方面的探討仍稀少的文獻提供了貢獻，亦為種子促進中心的股東、投資者及企業家提供了管理方面的提示。

與表現指數相關的研究結果對投資者尤為有用。他們主要的關注是投資因素的回報率，進行轉讓所需的時間及籌集投資總額。另一主要問題是種子促進中心作為就業苗床所扮演的角色。乍看之下，如考慮到這些公司短暫的歷史，無論整體的就業數量、或是以每間公司計算的就業數量都看似微小。種子促進中心在製造新工作方面的影響是難以量度的。這是因為新工作的產生通常出現在租戶公司發展的進一步階段內, 這就是所謂放大過程。但目前誕生的新公司的數目另人注目。而且, 以就業方面來說，效果實在是相當不錯的。我們的研究結果也為企業家、風險投資者及政策制定者提供重要的暗示。對企業家而言，我們的研究結果為他們就促進中心方案應持甚麼期望提供了啟示。

對政策制定者及未來的促進中心始創人而言，我們的研究結果支持文獻所說：促進中心、與最強大的企業樞紐比較之下，即使是在細小的企業生態系統裏，可以是有效的企業介入 (哈倫等人,2017)(Hallen et al., 2017) 。

種子促進中心是一個頗為近期才出現的現象。這現象在全球興盛起來，特別是在發達國家。因此，種子促進中心被認為是可為任何一個企業生態系統帶來前景的主要媒介。唯至今仍未有分析這新興工具的影響及表現的研究。這正正就是本研究的主要目的，就是首度根據一個數據庫，為種子促進中心的影響及前景提供一個適當和探索性的研究。

This study aims to offer insights into a sounder understanding of tourist behavior and travel patterns by systematically identifying psychological manifestations reflected in the basic human value system in the pandemic-induced environment.

A large random sample (49,519 respondents from 29 European countries), generated from the core module Round 9 of the European Social Survey, was used. A post-COVID-19 psychological travel behavior model was constructed by using 12 variables within two opposing value structures (openness to change versus conservatism), shaping specific personalities.

Four types of tourists were identified by using K-means cluster analysis (risk-sensitive, risk-indifferent, risk-tolerant and risk-resistant). The risk-sensibility varied across the groups and was influenced by socio-demographic characteristics, economic status and even differed geographically among nations and traveling cultures.

First, data were collected before the pandemic and did not include information on tourism participation. Second, the model was fully driven by internal factors – motivation. Investigation of additional variables, especially those related to socialization aspects, and some external factors of influence on travel behaviors during and after the crisis, will provide more precise scientific reasoning.

The model was upgraded to some current constructs of salient short-term post-COVID-19 travel behavior embedded in the core principles of universal human values. By separating specific segments of tourists who appreciate personal safety and conformity, from those sharing the extensive need for self-direction and adventure, the suggested model presents a strong background for predicting flows in the post-COVID-19 era.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

After deciding to become agile, many information technology (IT) units struggle; they underestimate the needed managerial expertise to alter their current culture toward an agile one, particularly when cross-cultural (f)actors are involved. Given that work values are the key to an organizational culture, the study derived a set of agile work values of culturally diverse IT professionals together with a set of well-known generic work values. Consequently, the authors illustrate that managers in charge of the transition to an effective agile culture must pay serious attention to the specific value constellations of its often highly diverse workforce.

A literature review resulted in an initial list of agile work values. Then, mainly through a Delphi round, 12 agile-specific work values were established. These were survey rated, along with the validated set of 18 generic work values, by 102 British and Indian IT professionals in a digital service and consulting firm that was requested by its client to become agile. The observations made in 14 feedback group-interview-type dialogs enriched the surveyed data further.

In the current exploratory study, four generic value dimensions were complemented by two agile-specific ones: team communication and shared responsibility. Among the British and Indian (on-site and offshore) workers, only 2 of the 30 current work values were shared while 7 significant value differences were found, explaining the noted employee bitterness, productivity losses and client disengagement. This situation was reflected in the many discrepancies between the professionals' ideal agile way of working and how their unit was currently functioning.

The multi-method study shows an over-optimistic approach to becoming agile in a common cross-cultural context; insights are gained on how to optimize agile ways of organizing IT work when British IT workers collaborate with Indian IT workers. It may benefit many agile practitioners and managers working with(in) cross-culturally mixed and partly remote teams.

This paper aims to identify distinct consumption patterns among Asian consumers and examine how these relate to cultural antecedents and key human values.

This study uses a large, representative sample of almost 7,000 Asian consumers in 10 culturally varying markets, using latent profile analysis (LPA) to identify the consumption profiles.

The findings empirically demonstrate that the two profiles are “inner-directed nationalistic frugals” (IDNF) and “outer-directed self-eekers” (ODSS). IDNF consumers spend more time and money on education and prefer ethnocentric consumption. ODSS consumers emphasize individuality, self-expression, seeking novelty and impressing others. Consumers with more collective values in Schwartz's typology tend to demonstrate the IDNF pattern; those with more individualistic values demonstrate the ODSS pattern. The distribution of IDNF and ODSS profiles is influenced by demographics, religion and geographical region: IDNF is greater than ODSS in Southeast Asia; ODSS is greater than IDNF in East Asia; IDNF is roughly equal to ODSS in Northeast Asia. IDNF tends to be found among older and more religious consumers, while ODSS is the opposite. Importantly, in the more religious Southeast Asian countries, even younger consumers are more IDNF than ODSS.

This research uses an exploratory and discovery-oriented approach; future research can use more confirmatory approaches to systematically examine the relationship between cultural dimensions (e.g. individualism-collectivism) and consumption patterns.

For their brands to grow in Asian markets, marketing practitioners are advised to use multiple brands to segment Asian consumers based on their values, demographics, geographical location and what religious/faith traditions they follow.

This is the first paper to identify consumption profiles in Asian markets using LPA without prior conceptual biases and relate them to cultural values and demographic variables.