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Agency theory suggests that if managers are not monitored, takeover negotiations may be contaminated by agency conflicts, which may weaken a firm's bargaining position. This paper argues that some blockholders are more effective monitors than others, and tests whether the negotiating power of a target or bidder is influenced by their respective blockholder composition. The paper aims to discuss these issues.

This paper classifies target and bidder outside blockholders as either aggressive monitors or moderate monitors, and tests whether the degrees of monitoring effectiveness influence a firm's share of the total wealth created by the takeover (a proxy for bargaining power).

This paper finds that firms that have the types of outside blockholders with a greater tendency to monitor managers elicit higher takeover gains. This suggests that negotiating power in takeovers is conditioned on the types of blockholders that monitor the target and bidder. The results support the premise that better monitoring leads to higher gains for shareholders in a takeover. In particular, the findings suggest that the greater the tendency of outside blockholders to monitor managers, the lower the level of takeover-related agency conflicts and the stronger a firm's relative bargaining power.

These findings imply that agency conflicts on either side of a takeover bid may be reduced by better monitoring, but especially among bidders.

Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.

This paper aims to investigate whether values enactment could be increased through frame-of-reference (FOR) training configured around values prototyping and behavioural domain training for managers within an Australian public sector organisation.

Employees from an Australian public sector organisation were studied to ascertain the effect of values training and development via a three-way longitudinal design with a control group.

The findings indicate that FOR training can increase employee values enactment clarity and, thereby, have a positive impact upon organisational values enactment.

The application of FOR training constitutes a new approach to supporting the development of employee values clarity, which, in turn, can support the achievement of organisational values enactment. Through FOR training, employees can learn to apply organisational values in their decision-making and other behaviours irrespective of whether they are highly congruent with their personal values.

Empirical research into values management is limited and there is a lack of consensus to what is needed to create a values-driven organisation. The article shows that FOR training can be a beneficial component of a broader human resource strategy aimed at increasing organisational values enactment. With reference to the resource-based view of the firm, it is argued that values enactment constitutes a distinctive capability that may confer sustained organisational advantage.

Given the rapid development in artificial intelligence (AI), the hotel industry is deploying AI-based systems. In line with this important development, this study aims to examine the impact of trust in the hotel and AI-related performance ambiguity on consumers’ engagement with AI-based systems. This study ultimately examined the impact of engagement on consumers’ intentions to stay in hotels offering such systems, and intentions to tip.

This study developed a conceptual model based on the social cognition theory. The study used an online survey methodology and collected data from a nationwide sample of 400 hotel consumers from the USA. The data analysis was conducted with structural equation modeling.

Consumers’ engagement is strongly influenced by their trust in the hotel but not by performance ambiguity associated with AI. In turn, engagement strongly influenced consumers’ intentions to stay in hotels that have such systems and their intentions to tip.

As AI systems capable of making decisions for consumers are becoming increasingly present in hotels, little is known about the way consumers engage with such systems and whether their engagement leads to economic impact. This is the first study that validated a model that explains intentions to stay and tip for services facilitated by autonomous AI-based systems that can make decisions for consumers.

鉴于人工智能领域的快速发展, 酒店业正在部署基于人工智能的系统。为此, 本研究探讨了客人对酒店的信任和与AI相关的性能模糊性对消费者与基于AI的系统互动的影响。最终, 本研究考察了参与度对客人在提供此类系统的酒店住宿意愿和小费意愿的影响。

本研究基于社会认知理论开发了一个概念模型。研究采用在线调查方法, 从美国全国范围的400名酒店消费者中收集数据, 并采用结构方程建模进行数据分析。

消费者的参与度受酒店的信任强烈影响, 但不受与AI相关的性能模糊性的影响。反过来, 参与度强烈影响了消费者在提供此类系统的酒店住宿和给小费的意愿。

随着能够代表消费者做出决策的人工智能（AI）系统在酒店中日益普及, 人们对消费者如何与这类系统互动以及他们的互动是否会产生经济影响知之甚少。这是第一项验证了一个可以解释在自主的基于AI系统的服务下住宿和给小费意愿的模型的研究。

The purpose of this case study is to investigate how the personnel in an organization experienced the process of change when moving from private offices to an activity-based office (ABO) and how their perceptions of change were associated with changes in their satisfaction with the work environment a year after relocation.

A comparative pre-post study design and mixed methods were used. Survey data was obtained from 154 employees before the relocation and 146 after the relocation. The data on the 105 employees who responded to both surveys were statistically analyzed. Representatives of different units were interviewed (n = 17) and documentary material was analyzed as complementary material.

The personnel’s criticisms concerned the reasons for the change, their opportunities to influence the office design and the extent to which their views were taken into account. Environmental satisfaction decreased after moving to the ABO. The personnel’s ratings of the workplace change process before the relocation were associated with the later change in environmental satisfaction. Based on logistic regression, the degree of agreement with management’s reasons for the change was the strongest predictor of the change in environmental satisfaction.

Organizations that move from private offices to an ABO should invest in high-quality change management and simultaneously develop both work and facilities. Special attention should be paid to clarifying the rationale for the change to the employees and to providing them with opportunities to influence during the change. Organizations should continue to monitor user experiences and evaluate the effects of the change after the office redesign and should take corrective action as needed.

This empirical case study is unique as it combined qualitative and quantitative methods and investigated the process of relocation and its outcomes in a one-year follow-up. This approach captured the importance of managing change and assessing the long-term effects of office redesign when moving from private offices to an ABO.

The purpose of this paper is to identify key channels through which gender is applied to financial research.

This paper is designed as a survey and review of relevant literature.

There are many theoretical and practical applications of gender in financial research.

This paper is the first to consolidate theoretical motivations for the use of gender in financial research.

This paper aims to investigate the issue of performance measurement of social enterprises with main particular focus on economic performance approach reflecting local aspect, since the local aspect plays a significant role in social entrepreneurship concept. Thus, comparison of two instruments that consider local aspects: local multiplier 3 (LM3) and Input-Output analysis is examined. Input-Output analysis is empirically used to calculate social enterprises’ impact on the Czech economy and to confirm the assumption to be more suitable instrument for economic performance measurement of social enterprises in comparison to local multiplier 3 method.

The research adopted two-phase approach. At first a qualitative approach was used to compare the two selected instruments (LM3 and Input-Output analysis). Consequently, a quantitative research was applied to determine the impact of social enterprises’ activities on the economies of individual regions. The research was carried out on a sample of social enterprises (143 subjects) in the Czech Republic covering the year 2015. For this approach, Symmetric Input-Output tables and multipliers were calculated and revenue data from each observed social enterprise were used.

The findings of the research indicate effects of social enterprises’ activities on the economy in individual regions of the Czech Republic. The results clearly show that the impact of social enterprises on the Czech economy is not negligible. Calculated impacts differ in sectors as well as in regions. Besides, of these findings, the assumption that the Input-Output analysis is more appropriate instrument for economic performance measurement of social enterprises, especially in situation of a larger sample of social enterprises in different regions, in comparison to LM3 method, was confirmed.

The limitations of this study is the dependence on the Symmetric Input-Output tables, which are usually published by local statistical offices and it takes some time to construct them. A more significant limitation and future research direction relates to the lack of generally accepted measurement framework in the sector of social enterprises and lack of the data, especially quantitative, in the Czech Republic.

The findings of the research represent a significant contribution to the process chain of understanding the role of social enterprises in (local) economy. The lack of proven impact of social enterprises to economy is considered as important limit of this sector development, not only from the perspective of investors and donors but also from the perspective of policymakers and even social enterprises themselves. The Input-Output analysis can be applied for any region of any country and can contribute to reduce scepticism about economic performance of social enterprises, thus to support putting social and environmental goals of social enterprises into practice.

This research has been carried out on the so far largest identified sample of social enterprises in the Czech Republic and provides data for discourse among stakeholders about social enterprises’ impact; thus, it enables to understand their impact and make capable to enlarge their support network and development.

This research is a pioneering attempt to provide data about economic impact of social enterprises using Input-Output analysis in the Czech Republic. No previous research identifies such a large sample of Czech social enterprises and collects quantitative data about them, as well as considers Input-Output analysis as an option instead of LM3 method. The effort of this research has been to react on a research gap in studies related to the impact of social enterprises (reflecting local aspect). This paper could be understood as beneficial not only from the perspective of the Czech Republic but also worldwide.