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In this paper, the authors aim to offer a cross-cultural comparison of the boycott intentions of university students in Canada with those of students in Korea.

The data were collected from students at Inje University and York University via self-administered questionnaire. A t-test found that Canadian students’ answers showed significantly greater scores in ethnocentrism, boycott attitudes prior to reading the target article and motivations related to self-enhancement compared to those acquired from Korean students. However, the motivation of counterarguments and the boycott intentions of Korean students’ toward Rogers, the parent company of Maclean’s magazine, showed significantly higher scores than those gained from Canadian students.

The boycott case used in the study is Maclean’s magazine, a Canadian news magazine, which published a controversial article called, “Too Asian? Some frosh don’t want to study at an “Asian” University”. A noticeable gap in each group of students’ boycott attitude and intentions toward Rogers, the parent company of Maclean’s magazine was found.

In the multiple regression analysis, the boycott motivation of self-enhancement was the most influential variable on boycott intentions. The boycott case examined in this paper is a practical case study of cross-national grouping as well as the perceptional difference of the locus of corporate accountability that comes from cross-cultural backgrounds.

The purpose of this paper is to investigate into the conditions under which founders’ human capital (HC) benefits new venture growth (NVG). One such condition is investigated in this study – initial assets at founding. Specifically, founding assets are hypothesized to moderate the relationship between founders’ HC and NVG.

The longitudinal panel database from the Kauffman Firm Survey for the period 2004–2011 was used to test the hypotheses. The final sample consisted of 4,923 firms, with 34,461 observations made over seven years.

The regression analysis found the effect of founders’ HC on NVG and the moderating role of founding assets in the HC–NVG relationship.

New ventures benefit even more from founders’ education level, industry and startup experiences when the startups have larger assets at founding. The effect of founders’ education and experiences on startup growth is contingent upon the initial assets at founding.

The results of this study can help practitioners and policy makers to understand the drivers of NVG and the interactions among these drivers. Growth-oriented startups may require a large investment in founding assets such as production facilities. Startups with fewer founding assets may find it particularly difficult to negotiate with external stakeholders and may face unusually intense competitive responses from competitors. Policy makers should tailor the support to the founding conditions of new firms.

The prior literature has shown mostly the independent positive effects of various resources on firm growth. This study argues and empirically shows that startups grow faster when founders with high HC have more assets to utilize. The resource-based view literature was expanded by adding important new causal mechanisms, enriching our understanding of how founders’ HC interact with founding assets, jointly affecting NVG. Like a big fish in a small pond, even highly educated and experienced entrepreneurs have limited opportunities to utilize their talents in a startup with a lower initial resource position.

To deepen the understanding of the process of growth and development of career resilience, this study aims to investigate the impact of career history and openness to change as antecedents of career resilience and the effect of career resilience on career self-management and career outcomes (salary and career satisfaction) over time using the Career Construction Theory.

The authors applied structural equation modeling with cross-lagged associations between career characteristics (number of employees, job seniority and missed promotions), openness to change, career resilience, individual career management (ICM) and career success (salary and career satisfaction) using three-wave data of 872 employees.

Openness to change had cross-lagged positive relationships with career resilience. The number of (previous) employers and missed promotions had a positive effect on career resilience, whereas job seniority was related negatively to career resilience. Furthermore, career resilience had a positive effect on individual career self-management in terms of networking, practical things and drawing attention over time. No effect was found on the individual career self-management dimension of mobility-oriented behavior over time. Finally, ICM had a positive effect on salary and career satisfaction over time.

Altogether these results suggest that career resilience is not only a way to stay active as an employee and cope with career changes, but it also enhances employees’ chances to achieve objective and subjective career success.

This paper empirically examines whether the order of liability and preferred stock accounts presented on the balance sheet is consistent with how the stock market values their riskiness.

This paper measures a firm’s riskiness with idiosyncratic risk and employs the first-difference design to test the relation between idiosyncratic risk and the order of current liabilities, noncurrent liabilities and preferred stock, respectively. Further, the paper tests whether operating liabilities are viewed as riskier than financial liabilities. Finally, the authors partition their sample based on the degree of financial distress and investigate whether the results differ between the two subsamples.

The paper finds that current liabilities are viewed as riskier than noncurrent liabilities and preferred stock is viewed as less risky than current and noncurrent liabilities, consistent with the ordering on the balance sheet. Further, the paper finds that operating liabilities are viewed as riskier than financial liabilities. Finally, the authors find that total liabilities and preferred stock (redeemable and convertible classes) are viewed as riskier for distressed firms than for nondistressed firms.

The authors thoroughly investigate the riskiness of several classes of claims and document that the classification of liabilities and preferred stock classes is relevant to common stockholders for assessing their associated risk.

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

The remarkable increase of sophistication of artificial intelligence in recent years has already led to its widespread use in martial applications, the potential of so-called “killer robots” ceasing to be a subject of fiction. The purpose of this paper is to re-examine the consequences of the availability of lethal autonomous robots (LARs) on global peace.

Virtually without exception, the aforementioned potential of LARs has generated fear, as evidenced by a mounting number of academic articles calling for the ban on their development and deployment. An analysis of the existing ethical objections to LARs is used as a vehicle for their critique and the advancement of an alternative.

The presented analysis shows the contemporary thought to be deficient in philosophical rigour, these deficiencies leading to a different view, one favourable to the development of LARs.

The emergent thesis is that LARs can in fact be a force for peace, leading to fewer and less deadly wars.

This article aims to explore whether and how economic, political and demographic municipal conditions shape citizens' attitudes regarding decentralised social policies.

The authors analysed the 2018 wave of the Dutch Local Election Studies, which includes a novel survey item asking respondents whether they prefer local social policies to be primarily: (1) protection-based, (2) cohesion-building or (3) activation-based. The authors appended context indicators to that survey and performed multilevel logistic regression analyses (1,913 respondents nested in 336 municipalities).

At the individual level, these preferences are affected by gender, age, income, education and political inclination, as expected. However, preferences towards local social policies are not shaped by local economic, demographic or political conditions. The authors discuss the implications of these findings for future research.

By using unique data, including a newly developed survey item, this study is the first to explore whether and how municipal conditions shape preferences regarding local welfare. Understanding those preferences is increasingly important as many Western European countries have decentralised swathes of social policies from the national to the local level in recent decades.

The purpose of the study is to highlight the relevance of reactance theory for modeling consumer responses to COVID restrictions. The study also aims to critically evaluate the appropriateness of the most established reactance model (the intertwined model) for studying reactance specifically in relation to freedom threats arising from measures aimed at combatting the spread of the pandemic.

Following a conceptual analysis of the intertwined model of reactance, structural equation modeling is applied to Rain's (2013) meta-analytic data to compare the model to alternative model specifications.

The analysis reveals both conceptual and statistical shortcomings of the intertwined model of reactance in its current/traditional form. It also draws attention to other model specifications that provide just as good statistical fit and offer promising alternative ways of modeling reactance in a COVID context.

The study is the first attempt to explicitly discuss conceptual and statistical problems associated with the most widely accepted model of reactance, illustrate these issues with specific reference to consumer reactions to COVID restrictions, identify alternative promising model specifications and suggest a respecification of the intertwined model.

This study aims to investigate whether the learning organization, as envisioned by Peter Senge in The Fifth Discipline (1990), facilitates responsible innovation.

The authors analyze the component characteristics of the learning organization as defined by Senge (1990) to identify any conceptual or causal connections to responsible research and innovation (RRI). To define RRI, the authors make use of a commonly cited framework from the academic literature that is consistent with the vision of RRI promoted in European Union policy.

The authors find significant complementarities between being a learning organization and practicing responsible innovation. Some of the practices and characteristics of a learning organization in the sense of Senge (1990) do not merely facilitate RRI, they are RRI by definition. One important caveat is that to qualify as a responsible innovator according to the proposed framework, an organization must involve external stakeholders in the innovation process, a requirement that has no parallel in The Fifth Discipline. The authors conclude that there is at most a small step from being a learning organization to becoming a responsibly innovating learning organization.

The authors propose a reconsideration of the scope of applicability of Senge’s theory, opening new possibilities for drawing inspiration from The Fifth Discipline 30 years after the book was first published. The authors conclude that there may be significant non-economic advantages to being a learning organization, and that The Fifth Discipline may be more valuable for its ethical perspectives on the organization than as a prescription for how to achieve business success.

This paper considers the potential of social media for developing public services. The paper approaches social media as a context that can provide information that might otherwise be unattainable. The focus of analysis is on a special hard-to-reach group of marginalized youths who appear to have isolated themselves from society.

The authors answer the question: How can the experiences of socially withdrawn youth as shared on social media be used to enrich the knowledge base relating to the initiation phase of co-creation of public services? The data retrieved from the Finnish discussion forum are analyzed using the combination of unsupervised machine learning and discourse analysis.

The paper contributes by outlining a method that can be applied to identify expertise-by-experience from digital stories shared by marginalized youths. To overcome the challenges of making socially withdrawn youths real contributors to the co-creation of public services, this paper suggests several theoretical and managerial implications.

Co-creation assumes an interactive and dynamic relationship where value is created at the nexus of interaction. However, the evidence base for successful co-creation, particularly with digital technology, is limited. This paper fills the gap by providing findings from a case study that investigated how social media discussions can be a stimulus to enrich the knowledge base of the co-creation of public services.