This article offers a systematic literature review of an emerging topic: the effects of different robotization formulas on Industry 4.0 and the connection of robotization with corporate reputation. Although there is relevant literature regarding the implications of innovation on corporate reputation, there remains a lack of data regarding Industry 4.0 and corporate reputation. Differences among academic and practitioners bring individual (not joint) attention to these constructs. Within the current paradigm of robotics, corporate reputation, and Industry 4.0, this paper analyzes 25 documents including articles, conference proceedings, and books, with the aim of contributing to a better understanding and highlighting potential development within four main areas: company as employer, compliance, customer experience, and environment.

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Having accounts on several social media platforms and spending a large part of their free time on those networks creates a strong social impact on the individual user. This effect can be beneficial regarding learning, inclusion or socialization but also creates space for negative symptoms like sleep deprivation, anxiety and depression. An automated approach to investigate the development of social media users’ emotions over time was used in this study, allowing to collect information about a larger group of social media users on Twitter. It investigates if the emotions of users or groups of users become more negative over time, as suggested by other studies. The prevalent expressed emotions on twitter were happiness and surprise. From 2015 to 2019, happiness values remained consistent, while an increase in anger, disgust, and fear could be verified for all user groups. It is noticeable that twitter users with the least amount of followers (<25%) expressed anger and fear most strongly. In the future the analysis results in this paper could be used to create services or communities to help young adults with tendencies towards anger, fear, or sadness.

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This paper will aim to propose a formal reconstruction of deontic evaluation over the externalized notion of agency through the indeterministic model of time (Thomason (1970)) with the primitive notion of choice. In the proposed model, an agent is defined as a series of choices, each of which is in turn formulated as a partition of the set of possibilities available at the moment. Options, or elements of a choice, are to be ordered by a preference relation that reflects the utility value of each possibility at the moment (cf. Horty (1995)). With the proposed model, the extended notion of agency with utilitarian decision making methods will cover the notions to be discussed in legal and social contexts in the age of organizations and communities with robots and artificial intelligence among human beings, such as group agency which may involve both natural persons and nonnatural (i.e. artificial) persons. The proposed choice-based model will also better describe transient agency, as groups can go through vicissitudes.

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Recently, a series of corporate scandals have come to light in Japanese companies. Corporate management is required to prevent the recurrence of these scandals. There is a need to elucidate the causes and processes of organizational fraud. In this study, based on Cressyʼs Fraud Triangle Theory, we systematically identify and visualize the relational structure and behavioral processes behind a fraudulent loan case using ArchiMate, focusing on the case of local bank loan fraud that occurred in Japan as an example of organizational fraud to show that organizational fraud is caused by a chain of fraud triangles within an organization.

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Artificial intelligence and machine learning (AI/ML) are increasingly prevailing in our daily lives. It is about time that not only the benefits and possibilities in the future, but also the risks or concerns regarding the consequences of AI/ML utilization are discussed in detail. The IEEE (2018) and the European Commission (2018) have paid attention to the possibility that the artifacts may become “nudging” tools for users and therefore require ethical considerations. This study considers the requirements of the original nudge that certified as valid and ethical ones, as well as insists that the coined terms “hypernudges” and “digital nudges” that are utilized in new digital technology driven by AI/ML, will not be recognized as the original nudge. Through this study’s consideration, it is revealed that while the two qualifications of the original nudges, transparency and autonomy, are crucial factors in the human decision making, they are currently lacking in hypernudges. It should be kept in mind that the nudging done through the new technologies or applications driven by AI/ML must be vigilant.

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Long-established corporations stable. By examining the cases of the German pharmaceutical company Merck KGaA and US subsidiary Merck & Co., Inc. (MSD), this study examines the factors that influence corporate longevity. The standard deviation of the share price of Merck ($28.27) is higher than that of MSD ($15.10) over a 20-year period, thus indicating that the share price of Merck significantly fluctuated. The main cause of this difference might be the capitalisation of Merck of 30% of their capital as a limited partnership with shares in 1995. We hypothesise that a structural governance change occurred in both corporations owing to two aspects, on the one hands, emphasising the legal status for the general partner of family ownership for Merck and the other, this change shows the heterogeneity of institutional investors for their ownership for MSD.

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The relationship between organizational citizenship behavior (OCB) and job stress has been much disputed. While some researchers consider the positive effects of OCB on job stress, others anticipate a negative relationship between them. This study considers various empirical results of this relationship because traditional OCB measures cannot separate voluntary OCB from involuntary OCB and examine the moderating effect of compulsory citizenship behavior (CCB) on the relationship between OCB and job stress. An empirical study using the data from 312 employees reveals that the impact of OCB for individuals (OCB-I) on job stress is positive when CCB is low, whereas this relationship is negative when CCB is high. Implications for future studies and for information management in organizations are also provided.

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Smart tourism is a social phenomenon arising from the integration of information and communication technologies (ICTs) into the physical infrastructure of a destination. Big data, as a lifeblood of ICTs, supports smart tourism development. Although smart tourism has become a buzz concept, it is still facing a number of issues. This study aims to investigate the current issues that prevent smart tourism development by reviewing recent studies in the field. To address these issues, it also suggests a research agenda for future studies from the perspective of destination management.

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