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The purpose of this paper is to highlight some of the political aspects of sovereign wealth fund investment.

The paper employs a case study approach, bringing together various news articles and reports from around the world to build a picture of the key events surrounding the Temasek acquisition of Shin Corp.

The paper finds that the deal between Temasek and Shin Corp. was complex as foreign ownership is limited in Thailand. To add further controversy to the deal, the ultimate owner of Shin Corp. was former Thai Prime Minister Thaksin Shinawatra. Consequently, the controversy surrounding the deal and sensitive nature of the sale caused significant political turmoil in Thailand, and in some measure contributed to the military coup that finally ousted Thaksin Shinawatra.

The paper is a case study and as such is illustrative.

The case highlights the potential fallout from sovereign wealth fund investment as a result of acquiring strategic assets.

To the best of the author's knowledge, the paper presents the first discussion of this important issue.

With the conceptualization of the blockchain as a socio-technical assemblage, this study aims to critically examine the blockchain initiatives in Korea in terms of the opportunities, risks and challenges embedded in their development.

This paper analyzes blockchain design and development from socioecological views: social, technological and cultural phenomena that represent the strategic interaction among people, technology and society. The qualitative data were collected from a variety of sources and diverse means.

The results imply that blockchain needs a close socio-technical examination to avoid simplistic assumptions of its promises and pitfalls. The development of blockchains in Korea will need to consider a range of socio-technical issues to facilitate the best outcomes for blockchain in society.

Despite proactive drives, new risks, such as security, privacy and transparency, emerge as critical concerns of the social implications of the blockchain and their impact on the new digital environment. Questions are raised as to how to govern blockchains, and how to address the unexpected outcomes that such a policy choice may have on society and industry.

The sociopolitical implications of Korean blockchains are examined to identify key concerns and issues as the country progresses rapidly toward a blockchain-driven society.

The purpose of this paper is to conduct a dual-level (organizational and individual user) analysis of development related to the Internet of Medical Things (IoMT). It examines the organizational dynamics of IoMT and develops a conceptual model for quality of experience (QoE) in user acceptance.

This study uses the information systems success model of quality factor as an analytical framework and extends it beyond the individual user experience (UX) to include an organization-level perspective. Interviews are conducted with relevant stakeholders for sociotechnical inquiries; a survey identifies user factors in IoMT.

The sociotechnical analysis sheds light on how IoMT has been accepted and stabilized in the healthcare sector. It shows the complex interaction between the social and technical aspects of IoMT by highlighting the co-evolution, interaction, and interface of devices that constitute the next-generation network environment. The UX model conceptualizes QoE specific to medical informatics.

Given the sociotechnical nature of this investigation, another approach to adoption of IoMT innovations was worth investigating to determine effective integration.

IoMT needs to be meaningful if they are to be sustainable and they need to offer quality of services and QoE no matter the location or demographic in which they are used.

With a dual-level analysis, the study provides a comprehensive view of the IoMT development process by investigating the organizational dynamics, in addition to the UX, of IoMT. The results provide a basis for developing future IoMT services with QoE requirements, as well as for clarifying sociotechnical dynamics.

This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience. Focusing on the effect of trust on cognitive processes, the authors analyze how affordances in blockchains affect the user experience.

The blockchain affordances are examined through a two-stage process. The authors employ a qualitative analysis based on insights gained from the current literature and interviews. The authors then apply a quantitative survey to examine the role of trust in interactions with blockchain services. A structural user model was tested in which their appreciation of affordances of blockchain predicted the trust and satisfaction.

Users' appreciation for transparency and reliability explained to what extent they trust and are satisfied, thereby suggesting the heuristic roles of trust in blockchains. The study findings indicate a heuristic role for trust regarding underlying links to technological and affective affordances. A user's cognitive heuristics affect their attitudes toward blockchain, in which technological features are processed through users' perceptions and experience.

The model contributes to the conceptualization of security, privacy and traceability along with trust, which is then linked to transparency and reliability. The findings show how the frame of affordances gains explanatory power by being linked to the concepts of affect and emotion. The heuristics of direct perception of security–traceability–privacy (STP) can be used to understand the trajectory of heuristics and ongoing choices of blockchain.

The study results offer a lens through which to address the technology's most common problems by pairing user experience principles and heuristics to blockchain technologies. This study offers insights into the understanding of user actions related to blockchains and into practical implications for developing trust-based services. The results guide the application and tailoring of motivational affordances in blockchain.

While blockchain technology has gained popularity and momentum, there has been little research on how specific features of blockchain technology create value. This study contributes to the research gap by highlighting the role and dimension of trust in relation to STP in blockchains and provides meaningful implications for theory and practice.

In this study, I explore the link between workforce downsizing and the predominance of a corporate governance model that espouses a shareholder value maximization principle. Specifically, I examine how top managers’ shareholder value orientation affects the adoption of a downsizing strategy among large, publicly traded corporations in the United States. An analysis of CEOs’ letters to shareholders indicates that firms with CEOs who use language that espouses the shareholder value principle tend to have a higher rate of layoffs, after controlling for various indicators of the firm’s adherence to the shareholder value principle. The finding suggests that corporate governance models, particularly those advocated by powerful organizational elites, have a significant impact on workers by shaping corporate strategies toward the workforce. The key actors in this process were top managers who embraced the new management ideology and implemented corporate strategy to pursue shareholder value maximization.

This chapter outlines the academic training and career characteristics of institutional leaders (presidents) in three higher education systems in East Asia. These three systems have a large share of private universities, have experienced rapid massification during the last four decades, achieved a global reputation, and have experienced managerial governance since the 1990s. University presidents are elected through faculty voting in most national universities while it is optional for private universities. This chapter uncovers how these three countries differ and are similar in terms of their institutional leaders' training and career development before they were appointed as university president. We found that university presidents are “old” and “male” in these three countries. In addition, their academic disciplines are balanced between hard and soft disciplines. A large number of university presidents are drawn from alumni members in Korea and Japan while this is a relatively uncommon in Taiwan. Their international experience is relatively high in Korea and Taiwan while it is low in Japan. Most university presidents have prior experience in senior leadership positions in Taiwan but much less so in Japan and Korea. Faculty members in Taiwan perceive their senior managers to be more competent than faculty in Japan and Korea.

As algorithms permeate nearly every aspect of digital life, artificial intelligence (AI) systems exert a growing influence on human behavior in the digital milieu. Despite its popularity, little is known about the roles and effects of algorithmic literacy (AL) on user acceptance. The purpose of this study is to contextualize AL in the AI environment by empirically examining the role of AL in developing users' information processing in algorithms. The authors analyze how users engage with over-the-top (OTT) platforms, what awareness the user has of the algorithmic platform and how awareness of AL may impact their interaction with these systems.

This study employed multiple-group equivalence methods to compare two group invariance and the hypotheses concerning differences in the effects of AL. The method examined how AL helps users to envisage, understand and work with algorithms, depending on their understanding of the control of the information flow embedded within them.

Our findings clarify what functions AL plays in the adoption of OTT platforms and how users experience algorithms, particularly in contexts where AI is used in OTT algorithms to provide personalized recommendations. The results point to the heuristic functions of AL in connection with its ties in trust and ensuing attitude and behavior. Heuristic processes using AL strongly affect the credibility of recommendations and the way users understand the accuracy and personalization of results. The authors argue that critical assessment of AL must be understood not just about how it is used to evaluate the trust of service, but also regarding how it is performatively related in the modeling of algorithmic personalization.

The relation of AL and trust in an algorithm lends strategic direction in developing user-centered algorithms in OTT contexts. As the AI industry has faced decreasing credibility, the role of user trust will surely give insights on credibility and trust in algorithms. To better understand how to cultivate a sense of literacy regarding algorithm consumption, the AI industry could provide examples of what positive engagement with algorithm platforms looks like.

User cognitive processes of AL provide conceptual frameworks for algorithm services and a practical guideline for the design of OTT services. Framing the cognitive process of AL in reference to trust has made relevant contributions to the ongoing debate surrounding algorithms and literacy. While the topic of AL is widely recognized, empirical evidence on the effects of AL is relatively rare, particularly from the user's behavioral perspective. No formal theoretical model of algorithmic decision-making based on the dual processing model has been researched.

The purpose of this paper is to analyze user behavior toward multi-screen services by employing neural networks to predict overall customer satisfaction and to prioritize the factors that influence customer intentions.

Multi-screen experiences require a new approach incorporating multiple methods. A proposed multi-state analytic approach in which the research model is tested using structural equation modeling was utilized. The results were then used as inputs for a neural network model to predict multi-screen adoption.

The findings indicate that multi-screen quality significantly influences usability, which subsequently affects the adoption of the technology.

The policy and managerial implications of multi-screen development are discussed based on the models of acceptance and diffusion.

The emergence of multi-screen services as well as the simultaneous and sequential engagement of users with multiple devices throughout the day challenges the ability of marketers to develop effective communication strategies.

This study provides an in-depth analysis and heuristic data regarding user drivers, market dynamics, and policy implications in the one-source multi-use ecosystem.

In games with strategic complementarities, public information about the state of the world has a larger impact on equilibrium actions than private information of the same precision, because the former is more informative about the likely behavior of others. This may lead to welfare-reducing “overreactions” to public signals as shown by Morris and Shin (2002). Recent experiments on games with strategic complementarities show that subjects attach a lower weight to public signals than theoretically predicted. The purpose of this paper is to reconsider the welfare effects of public signals accounting for the weights observed in experiments.

Aggregate behavior observed in experiments on games with strategic complementarities can be explained by a cognitive hierarchy model where subjects employ limited levels of reasoning. They respond in a rational way to the non-strategic part of a game and they account for other players responding rationally, but they neglect that other players also account for others’ rationality. This paper analyzes the welfare effects of public information under such limited levels of reasoning.

In the model by Morris and Shin (2002) public information is always welfare improving if strategies are derived from such low reasoning levels. The optimal degree of publicity is decreasing in the levels of reasoning. For the observed average level of reasoning, full transparency is optimal, if public information is more precise than private information. If the policy maker has instruments that are perfect substitutes to private actions, the government should secretly respond to its information without disclosing or signaling it to the private sector independent of the degree of private agents’ rationality.

This paper takes experimental evidence back to theory and shows that the main result obtained by the theory under rational behavior breaks down if theory accounts for the bounded rationality observed in experiments.

This study proposes a multilevel framework to test the mechanisms and boundary conditions of the relationships between positive group affective tone (PGAT) and individual/team creativity.

Data are collected from 122 research and development (R&D) teams (including 305 members and 122 team leaders). Hierarchical linear modeling analyses and hierarchical regression analyses are performed to test hypotheses.

The results show that PGAT facilitates individual creativity via enhanced work engagement, and increases team creativity via team information exchange. Supporting the substituting perspective, we found that the positive indirect effects of PGAT on individual/team creativity were attenuated when supervisory support is high.

Although all variables were collected at the same time and the individual-level variables were collected from the same source, our findings highlight the mechanisms explaining the beneficial effects of PGAT on individual/team creativity, and how supervisory support can substitute for such effects.

In order to make the individuals and teams more creative, the organizations need to promote PGAT via the selection of appropriated leader and members or team social events. Moreover, supervisors support is particularly salient in enhancing team creativity when PGAT is low.

This study is the one of the first study to test the motivational/social mechanisms linking the relationship between PGAT and individual/team creativity, and the competing theoretical perspectives regarding how supervisory support can moderate the PGAT–creativity linkage.