Search Results (6)

With the rapid adoption of automated driving systems, ensuring safe and efficient driver takeover has become a crucial challenge for road safety. This study introduces a novel psychological framework for understanding and predicting takeover behavior in conditionally automated vehicles, leveraging an extended Theory of Planned Behavior (TPB) model enriched by real-world driver experience. Drawing on survey data from 385 automated driving system users recruited in Shaoguan City, China, through face-to-face questionnaire administration covering various ADS types (ACC, lane-keeping, automatic parking), we demonstrate that driver attitudes, perceived behavioral control, and subjective norms are significant determinants of takeover intention, collectively explaining nearly half of its variance (R² = 48.7%). Importantly, our analysis uncovers that both intention and perceived behavioral control have robust, direct effects on actual takeover behavior. Crucially, this work is among the first to reveal that individual user characteristics—such as driving experience and ADS (automated driving system) usage frequency—substantially moderate these psychological pathways: experienced or frequent users rely more on perceived control and attitude, while less experienced drivers are more susceptible to social influences. By advancing a multi-dimensional psychological model that integrates personal, social, and experiential moderators, our findings deliver actionable insights for the design of adaptive human–machine interfaces, tailored driver training, and targeted safety interventions in the context of automated driving. Using structural equation modeling with maximum likelihood estimation (χ²/df = 2.25, CFI = 0.941, RMSEA = 0.057), this psychological approach complements traditional engineering models by revealing that takeover behavior variance is explained at 58.3%. Full article

The paper aims at describing two dimensions of acquirers’ behaviour when purchasing minority shares in Romanian listed target companies, based on a sample of 710 Romanian minority acquisitions. The first dimension regards the acquirer’s decision to invest a certain amount, being influenced by the profitability of the target company The relationship was found to be positive and significant. To test the model further, a sample of 308 transactions was used, after excluding the transactions involving primary sector and blue-chip target companies. The second dimension focuses on the amount of purchased stake, which leads to either financial gains or the takeover intention, under the influence of the target company’s operational profit. The results show a positive and significant relationship for the small stakes and a non-significant one for the high stakes. Full article

Since 2013, India has seen a remarkable growth of a conspiracy theory known as “love jihad”, which holds that Muslim men conspire to lure Hindu women for marriage to alter India’s religious demography as part of a political takeover strategy. While earlier scholarship on “love jihad” emphasizes the Hindu nationalist propagation of this conspiracy theory, this article pays equal attention to its appeal among conservative Hindus. Making its point of departure in the generative effects of speech, it argues that the “love jihad” neologism performs two logical operations simultaneously. Firstly, it fuses the long-standing Hindu anxiety about daughters marrying against their parents’ will, with the equally long-standing anxiety about unfavorable religious demographic trends. Secondly, it attributes a sinister political takeover intent to every Muslim man who casts his eyes on a young Hindu woman. To bring out these points, this article pays equal empirical attention to marriage and kinship practices as to the genealogy of, and forerunners to, the “love jihad” neologism, and develops the concept of “sound biting” to bring out its meaning-making effect. Full article

Drivers’ take-over intention is important for the design of the automated driving systems and affects the safety of automated driving. This study explored the influence factors on drivers’ take-over intention during conditionally automated driving, examined the correlations among factors through path analysis, and established a take-over intention model. A questionnaire survey was conducted in Hefei, China, and a sample of 277 drivers was obtained. Our study shows that the average take-over intention of those aged under 20 is lower than that of the older age groups. In the positive emotions (PE) scenarios, the take-over intention of aged 31–40 is significantly higher than that of the other age groups. Education and occupation have a significant influence on the take-over intention. The perceived ease of use (PEofU) and perceived usefulness (PU) of automated driving are significantly negatively correlated with drivers’ take-over intention in the road conditions (RC) and climate conditions (CC) scenarios. In addition, through path model analysis, our study shows that trust in the safety of autonomous vehicles (AVs) plays an important role in drivers’ take-over intention. Technology acceptance, risk perception and self-efficacy has indirectly correlated with take-over intention through trust in the safety of AVs. In general, drivers with lower technology acceptance, lower self-efficacy and higher risk perception are less likely to trust automated driving technology and have shown stronger intention to take-over the control of the vehicles. Full article

Entrepreneurial intentions have been extensively studied, but little is known about the intended mode of entry into entrepreneurship and its antecedents. This study tests the utility of the theory of planned behavior in a new, more specific context, namely business takeover intentions. The impact of entrepreneurship competence on antecedents of takeover intentions is explored. Entrepreneurship competence is measured using a scale based on the EntreComp framework. Data (N = 1373) were gathered from two institutes of higher education in Finland and analyzed using logistic regression. The results show that the TPB can be useful in investigating takeover intentions. The subjective norm has a notable and direct effect on takeover intentions, but the effect of entrepreneurship competence is mediated by attitudes and perceived behavioral control. The effect of parental role models on takeover intentions is significant, although the study is not limited to family successions; gender is also significant. The results show that the relationship between takeover intentions, entrepreneurship competence, and family role models is a complex one. Future studies on entrepreneurial intentions should pay attention to the differences in antecedents of entry modes. Full article

Acknowledging the role of different forms of entrepreneurship to continued economic prosper-ity and the role of institutional dimensions on entrepreneurship, this paper investigates if and to what extent a selected number of institutional dimensions influence students’ intentions to ei-ther start a company or take over an existing one. Based on a Global University Entrepreneurial Spirit Students’ Survey (GUESS) dataset and international country-level databases, evidence shows that both entrepreneurship options are hampered by corruption and limited business freedom while promoted through favourable labour regulations and trade freedom. Property rights, fiscal freedom, government spending, monetary freedom, and investment freedom only affect start-ups, while financial freedom adversely affects both options. The study provides new insight into the impact of institutional dimensions on different types of entrepreneurship. Thus, in contrast to extant research in this area, it goes beyond the typical focus on start-ups. Evidence also suggests that male students prefer starting a new company, while female students seem to prefer a takeover. This improved understanding could help in not only designing more targeted entrepreneurship and entrepreneurial financing policies but also in improving entrepreneurship education. Full article