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The detrimental impact of data breaches on organizations and their customers has been well documented in the literature. These breaches expose sensitive information, raising concerns about reputational damage and substantial financial losses for affected firms. Prior research has consistently demonstrated the significant financial repercussions of data breach disclosures, with a significant decline in the market value of breached firms following the incident’s revelation. However, recent literature has documented the shift in consumer perception toward data breaches, warranting a revisit of this important and relevant issue with more recent data. This study aims to revisit the cost of data breach disclosures by empirically analyzing the impact of recent data breach incidents on the market value of affected firms.

The authors collect the data regarding data breach incidents among publicly traded companies in the USA listed in the S&P 500 index from 2013 to 2021. The empirical analysis relies on the event study approach, and the market value of each firm is estimated using the Fama-French three-factor model.

This study finds that the negative market reaction to data breach announcements in recent years has been significantly weaker than those reported in prior works from the past decade. This result confirms the shift in consumer perception toward data breaches in the market.

While prior research has quantified the cost of data breach disclosures, the authors posit that a renewed examination is essential within the contemporary digital environment. Consumer behavior and market sentiment have undergone significant transformations in recent years, necessitating a revisit of this important issue with updated data. This study not only documents this evolving phenomenon but also yields crucial policy recommendations. Notably, it challenges the conventional wisdom to rely on market forces as an adequate deterrent against data breaches. Consequently, updated regulations may be necessary to effectively navigate the complexities of the evolving digital landscape.

The paper aims to investigate the role of specialization and agglomeration forces on industry performance in an emerging market, namely, Thailand. In particular, the impact of clusters and the influence of complexity will be tackled.

The methodology used is based on the work of Delgado et al. (2014). Industries and clusters are assigned to a certain category according to their respective level of specialization and complexity. Performance measures are then computed for each category.

It was found that the agglomeration of similar industries and co-located and related industries increase the performance of firms in terms of gross output per employee and remuneration per employee. Moreover, the increase of performance induced by the complexity level of an industry was closely related to the level of specialization.

Building on a cluster mapping, this study brings new insight on the effect of specialization and agglomeration on performance in emerging markets. In fact, the paper show how performance can be enhanced in less sophisticated and developed economies.

As technology has increasingly disrupted traditional commerce, there is a need for inclusive growth to ensure that no group – particularly the underprivileged – is left behind. Against this backdrop, this paper aims to shed light on mobile commerce (m-commerce) adoption among street vendors. This study conducts an experiment to investigate the contribution of online reviews and relevant factors in enhancing the perceived usefulness and adoption of m-commerce.

This study used a 2 (perceived ease of use: high vs low) × 2 (trust in service provider: high vs low) × 2 (online review: positive vs negative) between-subjects design, resulting in eight experimental groups. The level of the online review was manipulated, and the degrees of perceived ease of use and trust were measured.

Perceived usefulness depends on online reviews when users perceive incongruent information (e.g. high ease of use but low trust); that is, users who saw positive reviews more strongly perceived the usefulness of m-commerce. On the contrary, perceived usefulness does not vary based on online reviews if users perceive congruent information (e.g. high ease of use and high trust).

This research advances the knowledge of m-commerce adoption by exploring the interaction of perceived ease of use, trust and online reviews, a combination that has not been addressed in previous empirical studies.