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Massive multiplayer online role-playing games (MMORPGs) are representative metaverse games that are thriving in academia and the industry. This study aims to develop an integrated model based on Yee's motivations and the Proteus effect to explore individuals' intentions of playing MMORPGs.

The data were gathered by conducting an online survey (n = 441) for the players of World of Warcraft, an MMORPG. The collected data were analyzed with a structural equation model.

The outcomes of this research reveal that the Proteus effect positively influenced the intentions of the players to play the game via mediations of social, immersion, achievement motivations and enjoyment. Furthermore, the players influenced by the Proteus effect, which enables avatar embodiment and identification, exhibited a stronger intention to play MMORPGs.

This research is one of the first attempts to establish a theoretical framework involving the Proteus effect and Yee's motivations. In addition, the findings of this study imply that the Proteus effect should be considered when investigating the individual experience of metaverse games.

Although ceramic additive manufacturing (AM) could be used to fabricate complex, high-resolution parts for diverse, functional applications, one ongoing challenge is optimizing the post-process, particularly sintering, conditions to consistently produce geometrically accurate and mechanically robust parts. This study aims to investigate how sintering temperature affects feature resolution and flexural properties of silica-based parts formed by vat photopolymerization (VPP) AM.

Test artifacts were designed to evaluate features of different sizes, shapes and orientations, and three-point bend specimens printed in multiple orientations were used to evaluate mechanical properties. Sintering temperatures were varied between 1000°C and 1300°C.

Deviations from designed dimensions often increased with higher sintering temperatures and/or larger features. Higher sintering temperatures yielded parts with higher strength and lower strain at break. Many features exhibited defects, often dependent on geometry and sintering temperature, highlighting the need for further analysis of debinding and sintering parameters.

To the best of the authors’ knowledge, this is the first time test artifacts have been designed for ceramic VPP. This work also offers insights into the effect of sintering temperature and print orientation on flexural properties. These results provide design guidelines for a particular material, while the methodology outlined for assessing feature resolution and flexural strength is broadly applicable to other ceramics, enabling more predictable part performance when considering the future design and manufacture of complex ceramic parts.

As the global economy continues to boom, there remains a significant need for more efficient transportation and effective management in corporate logistics. In this regard, railways have been considered one of the most efficient modes for long distance transportation. In Asia, there are several extensive and direct railroads such as the TSR (Trans-Siberian-Railroad), the TCR (Trans-Chinese-Railroad) and the TMR (Trans-Mongolian-Railroad) which could connect Asia to Europe. If these railroad networks such as the TKR (Trans-Korean-Railroad) were fully operational, it is expected that they would replace a major portion of the current global trade transportation with is sent through other shipping methods. Therefore, the development of railroad networks is one of the most important steps toward an integrated international transportation system. However, in reality, it is difficult to achieve this vision because of the political and economic problems surrounding multiple countries that this network must cut across. Moreover, it is difficult to ensure the railways’ economic competitiveness when it is compared with other logistics options. In this study, we aim to discover the status quo about railway networks by focusing on the TCR and TSR. Through in-depth interviews and surveys with actual users of these networks, current issues and problems are analysed in order to make suggestions for improvements. This research also provides meaningful insights which the TKR-TSR and TKR-TCR railway networks should consider if they want to continue to be successful in the future.

Integrating the resource-based view (RBV) with pay dispersion research, the authors examine how the allocation of resources between hiring new employees and compensating current employees, as well as the allocation of resources among new employees, affects organizational performance.

The authors use panel data on Major League Baseball teams. The authors also use system generalized method of moments (GMM) estimations to control for the impact of past performance on current performance, unobserved individual heterogeneity and omitted variable bias.

The authors find that the larger the portion of the human resources (HR) budget allocated to hiring new employees, the poorer organizational performance becomes unless the focal organization has already significantly underperformed. The authors also find that pay concentration among new employees has a positive impact on organizational performance unless the focal organization has already significantly overperformed.

This study extends RBV research by examining how resource allocation patterns affect organizational performance, which has rarely been studied. Moreover, by showing the organizational context's significant effect on the outcome of financial allocation for resource acquisition, this study extends both the RBV research and the pay dispersion research.

The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data.

In order to extract customer behavior patterns, customers’ browsing history and transactional data from digital signage (DS) could be used as the input for decision making. First, the authors developed a DSOS and installed it in different locations, so that customers could have the experience of browsing and buying a product. Second, the real-time data processing system gathered customers’ browsing history and transaction data as it occurred. In addition, the authors utilized the association rule to extract useful information from customer behavior, so it may be used by the managers to efficiently enhance the service quality.

First, as the number of customers and DS increases, the proposed system was capable of processing a gigantic amount of input data conveniently. Second, the data set showed that as the number of visit and shopping duration increases, the chance of products being purchased also increased. Third, by combining purchasing and browsing data from customers, the association rules from the frequent transaction pattern were achieved. Thus, the products will have a high possibility to be purchased if they are used as recommendations.

This research empirically supports the theory of association rule that frequent patterns, correlations or causal relationship found in various kinds of databases. The scope of the present study is limited to DSOS, although the findings can be interpreted and generalized in a global business scenario.

The proposed system is expected to help management in taking decisions such as improving the layout of the DS and providing better product suggestions to the customer.

The proposed system may be utilized to promote green products to the customer, having a positive impact on sustainability.

The key novelty of the present study lies in system development based on big data technology to handle the enormous amounts of data as well as analyzing the customer behavior in real time in the DSOS. The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is used to handle the vast amount of customer behavior data. In addition, the present study proposed association rule to extract useful information from customer behavior. These results can be used for promotion as well as relevant product recommendations to DSOS customers. Besides in today’s changing retail environment, analyzing the customer behavior in real time in DSOS helps to attract and retain customers more efficiently and effectively, and retailers can get a competitive advantage over their competitors.

Today, online malicious comments are serious issues. They can cause psychological distress and suicide of victims. Although prior studies have focused on the role of anonymity as a major factor in making these comments, results of these studies have been inconsistent. On the other hand, the need for attention from others can provide an alternative explanation for such malicious comments. However, this perspective has been rarely studied. Therefore, the objective of this study was to investigate effects of anonymity and need for attention on posting malicious comments online and compare these two factors, resolving dark sides of online interaction.

This study obtained 327 questionnaires of Facebook users through a survey and analyzed the research model using partial least squares (PLS) regression.

Results of this study revealed that the need for attention affected malicious comments through partial mediation of neutralization. On the other hand, anonymity did not significantly affect malicious comments.

This study has the following academic implications. First, we empirically examined the critical influence of need for attention on making malicious comments online based on the impression management theory. Second, this study revealed that the influence of need for attention on making malicious comments was partially mediated by neutralization. Third, this study may offer an explanation for contradicting findings on the role of anonymity in the phenomenon of posting malicious comments online.

Practical implications of this study are as follows. First, SNS platforms can limit activities of persons who post malicious comments frequently. Second, this study suggests that a notice is needed to inform the seriousness and harmful consequences of malicious comments. Third, Facebook practitioners should be aware that low anonymity may not reduce malicious comments.

This study quantitatively examined the effect of need for attention on malicious comments based on the impression management theory. It provides a fact that individuals who want to attract attention from others would write malicious comments through neutralization.

Purpose – This chapter presents the results of an exploratory study carried out on activist institutional investor strategies. It aims to identify the way in which different types of institutional investors are reacting to new institutional pressures in the French context.

Design/methodology/approach – Our methodology is based on a series of semi-directive interviews, combined with additional relevant data.

Findings – The interpretation of results makes use of institutional theory, more specifically the work of Oliver (1991). Our study shows that active institutional investors may opt for different responses when confronted with new institutional pressures, and that these responses would seem to depend on antecedents underlined by Ryan and Schneider (2002), which in turn depend on the nature of their business relationships with the firm in which they invest. Whereas pressure-sensitive investors (such as banks and insurance companies) generally adopt acquiescence responses, pressure-resistant investors (such as pension funds and investment funds) pursue joint strategies of co-optation, influence or control with key actors such as local and international proxy advisors and French investor associations. Acting conjointly, certain pressure-resistant investors are often considered as institutional entrepreneurs in that they initiate changes and actively participate in the implementation of new norms in the field of shareholder activism in the French context. In parallel to this ongoing professionalization, other pressure-resistant investors such as activist hedge funds seem to lack sufficient legitimate power to be effective.

Originality/value – This chapter illustrates that the level of institutional investor activism depends largely on the relevant national legal framework. It also shows how institutional investor coalitions take advantage of new institutional pressures to enhance their legitimacy or increase the effectiveness of their action.

This study aims to draw on the malleable nature of processing fluency to identify the role of consumer expectation in generating diverging effects of metacognitive experiences on perception of product innovativeness and product evaluation. It also examines critical boundary conditions to offer a more sophisticated understanding of the interactive effect of expectation and processing fluency.

Studies 1, 2A and 2B recruited 1,922 online participants, and Studies 3 and 4 recruited 644 college students. The authors manipulated product innovativeness expectation by exposing participants to expert reviews of new products, and processing fluency by presenting product detail in either easy-to-read font/color contrast or difficult-to-read font/color contrast. Subsequently, perceived product innovativeness and product evaluation including actual product adoption were measured.

When a product was expected to be innovative (ordinary), feelings of difficulty with processing its detail increased (decreased) perceived innovativeness and, in turn, interest in purchase. The observation occurred only when a credible external source (vs firms) generated the innovativeness expectation or consumers’ elaboration level was not high. Furthermore, when innovativeness became associated with negative implications, perceived innovativeness no longer enhanced but impaired purchase intention.

Studies used incrementally new products only. Really new products involving a high adoption risk might produce a diverging effect. The findings need to be replicated with higher involvement products. An ideal level of difficulty with comprehending product information was not examined in the present research.

Results carry significant weight for firms who seek to draw consumer attention to their new products by choosing an optimal format of product presentation. The findings suggest that they can proactively administer a proper level of ease/difficulty with comprehending product detail depending on the extent of product innovativeness and target audience.

Extant research has not addressed how the malleable nature of processing fluency systematically affects innovativeness perception and product evaluation. The key contribution of this paper to the metacognition literature is the role of consumer expectation that alters the meaning of metacognitive experiences in relation to innovativeness perception. In addition, this is one of the first to empirically investigate perceptual processing fluency in the elaboration likelihood model theory.