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The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy.

The paper leverages the agent-based modeling (ABM) method to model individuals from two aspects, behavior and attitude. Based on the analysis and research of online data, we propose a rumor propagation model, namely the Untouched view transmit removed-Susceptible hesitate agree disagree (Unite-Shad), and devise an immunization strategy, namely the Gravity Immunization Strategy (GIS). A graph-based framework, namely Pregel, is used to carry out the rumor propagation simulation experiments. Through the experiments, the rationality of the Unite-Shad and the effectiveness of the GIS are verified.

The study discovers that the inconsistency between human behaviors and attitudes in rumor propagation can be explained by the Unite-shad model. Besides, the GIS, which shows better performance in small-world networks than in scale-free networks, can effectively suppress rumor propagation in the early stage.

This paper provides an effective immunization strategy for rumor governance. Specifically, the Unite-Shad model reveals the mechanism of rumor propagation, and the GIS provides an effective governance method for selecting immune nodes.

The inconsistency of human behaviors and attitudes in real scenes is modeled in the Unite-Shad model. Combined with the model, the definition of diffusion domain is proposed and a novel immunization strategy, namely GIS, is designed, which is significant for the social governance of rumor propagation.

Despite the growing interest in AI, the scientific literature lacks multinational studies that examine how mainstream media depict AI applications. This paper is one of the first empirical studies to explore how French and English-speaking mainstream media portray AI during a pandemic. The purpose of this study is to examine how media define AI and how they frame this technology.

The authors selected five media outlets and extracted all news articles that mentioned AI over a period of 30 days. The authors constituted the sample to ensure a mix of global, national and local media newspapers. The authors included Le Temps (Switzerland), Le Monde (France), The Guardian (United Kingdom), Politico Europe (Europe) and the New York Times (USA). The authors used the NexisUni database to collect the news articles. This resulted in a sample of 54 articles, which the authors then refined to 35 articles mentioning at the same AI and COVID-19. They then manually coded to identify media frames about AI.

Although no news article provides a definition of AI, most articles highlight two main characteristics: information processing and adaptability. This paper also shows that the coverage of AI in US newspaper is more optimistic than pessimistic. European newspapers offer a more balanced perspective of the risks and benefits associated with the technology, and highlight its use mainly in the context of the COVID-19. Media framing changes according to the evolution of the pandemic. While the USA were not yet heavily affected by the virus, Europe experienced the peak of the crisis. The authors argue that the framing of AI follows that of the pandemic.

This study is limited in terms of timeframe (30 days) and media outlets (5). It would be useful to extend this sample to verify the results, and also conduct interviews among journalists to understand their motivations and understanding of AI.

Despite the growing interest in AI, the scientific literature lacks multinational studies that examine how mainstream media depict AI applications in society. This paper is one of the first empirical studies to explore how French and English-speaking mainstream media portray AI during a pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2020-0393

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

Initiatives in employee development (non‐work related learning) represent a significant growth phenomenon. Identifies an orthodox account of ED which has developed alongside this growth; one that revolves around shared interests and a routeway to organisation learning. The assumed mutuality which underpins orthodox accounts of the benefits that flow from ED is characterised by a return to learning which leads to greater flexibility, increased commitment and ultimately enhanced performance. Addresses some questions which appear to have been ignored in the desire to promote ED. Highlights key issues, such as, when given the choice, most employees choose not to participate, and questions whether ED can really represent a learning process which is both distinct from and superior to that which takes place day in, day out, within the workplace.

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.

What is the future of work going to look like? The aim of this paper is to show how the sociology of expectations (SE) – which deals with the power of visions – can make important contributions in terms of thinking about this issue by critically evaluating the dominant expert positions related to the future-of-employment- and artificial intelligence (AI) debate.

After providing a literature review regarding SE, an approach based on the latter is applied to interpret the dominant ideal-type expert positions in the future of work debate to illustrate the value of this perspective.

Dominant future scripts can be characterized by a focus on the effects of AI technology that give agency to technology and to the future, involve the hype of expectations with polarized frames, and obscure uncertainty. It is argued that these expectations can have significant consequences. They contribute to the closing off of alternative pathways to the future by making some conversations possible, while hindering others. In order to advance understanding, more sophisticated theorizing is needed which goes beyond these positions and which takes uncertainty and the mutual shaping of technology and society into account – including the role expectations play.

The study asserts that the dominant positions contain problematic assumptions. It makes suggestions for helping move beyond these current framings of the debate theoretically. It also argues that scenario building and backcasting are two tools that could help move forward thinking about the future of work – especially if this is done in a way so as to build strongly on SE.

The arguments presented herein enhance sense-making in relation to the future-of-work debate, and can contribute to policy development.

There is a lack of adequate exploration of the role of visions related to AI and their consequences. This paper attempts to address this gap by applying an SE approach and emphasizing the performative force of visions.

Some studies have suggested that a supply chain augmented with information technology (IT) has a positive effect on performance in the marketplace. However, these studies have not explained how the IT-based supply chain achieves this superior performance. This study aims to reveal some of the mediating influences at play: the new product development (NPD) activities of product launch, product innovativeness and product development capability.

Taking the electronics manufacturer’s perspective, this study took a resource-based view to propose that NPD activities are affected by IT advancement and that IT-based supply chain architecture is a critical resource that ultimately affects new product performance. Thus study focuses on product launch, because this is the most expensive and risky stage of NPD; product innovativeness, because it plays a substantial role in achieving a competitive advantage; and product development capability, because it leads to superior product performance. A questionnaire was used to collect data from managers of projects, products and supply chains of computer and communication electronics manufacturers; 235 valid questionnaires were returned. These data were subsequently analyzed using a variety of statistical methods.

The results support that manufacturers’ IT resources enable them to enhance NPD activities effectively with their suppliers, and that NPD activities play a key role in moderating the relationship between IT-based supply chains and new product performance.

This paper provides an empirically tested model of how IT-based supply chain architecture can lead to superior new product performance through product lean launch, product innovativeness and product development capability.

The purpose of this paper is to use the Macau gaming industry as a case study to discuss the multifaceted relationships involving experiential quality, experiential relationship quality and future experiential intentions.

In this study, 566 usable responses were collected from casino gamblers who had gaming experience in one casino of Macau.

According to the study results, the dimensions of experiential quality (hedonics, involvement, surprise, fun, gambler contact and physical environment) had a positive effect on experiential satisfaction, which in turn led to experiential trust. Both experiential trust and experiential satisfaction positively influenced experiential commitment. Moreover, experiential trust, experiential satisfaction and experiential commitment positively affected future experiential intentions.

The main contribution of this research is that it has added to the body of knowledge about the interplay between the dimensions of experiential quality, the dimension of experiential relationship quality and future experiential intentions, which can be fruitful for the gaming industry.

−本文以澳门博彩业为例, 探讨了体验质量、体验关系质量与未来体验意向间的多层面关系。

−在此项研究中, 我们收集了566名在澳门一家赌场已有赌博经历的顾客。

−研究结果表明, 体验质量的维度(享乐、参与、惊喜、乐趣、赌徒接触和实体环境) 对体验满意度有正向影响, 进而导致体验信任。体验信任和体验满意度对体验承诺有正向影响。体验信任、体验满意度和体验承诺对未来体验意向均有正向影响。

−本研究的主要贡献在于, 它增加了体验质量维度、体验关系质量维度与未来体验意向之间相互作用的知识, 这对博彩是富有成效的。

− En este estudio, se obtuvieron 566 respuestas válidas de jugadores de casino que habían tenido experiencia en juegos en un casino de Macao.

− Este documento presenta a través de un estudio de caso la industria de los juegos de Macao con el objetivo de discutir las relaciones multifacéticas que involucran calidad experiencial, calidad de relación experiencial y futuras intenciones experienciales.

− Según los resultados del estudio, las dimensiones de la calidad de la experiencia (hedónica, participación, sorpresa, diversión, contacto con el jugador y entorno físico) tuvieron un efecto positivo en la satisfacción de la experiencia, lo que a su vez condujo a la confianza en la experiencia. Tanto la confianza experiencial como la satisfacción experiencial influyeron positivamente en el compromiso experiencial. Además, la confianza experiencial, la satisfacción experiencial y el compromiso experiencial afectaron positivamente a las futuras intenciones experienciales.

− La principal contribución de esta investigación es que se ha agregado al cuerpo de conocimiento sobre la interacción entre las dimensiones de la calidad experiencial, la dimensión de la calidad de la relación experiencial y las intenciones experimentales futuras, que pueden ser fructíferas para la industria del juego.