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According to the management obfuscation hypothesis, managers have incentives to influence the audit reports’ communicative value. This study aims to examine the relationship between corporate earnings management and the readability of Chinese-text audit reports and the impact of key audit matter (KAM) disclosure requirements on this relationship.

This research adopts Taiwanese firms from 2010 to 2019 to investigate the association between earnings management and readability of Chinese-text audit reports within the framework of the KAM disclosure requirements implemented in 2016.

The findings show that auditors tend to issue less readable audit reports to firms undertaking earnings management, particularly after introducing KAM disclosures. Additional analyses indicate that such adverse impacts of client earnings management on audit report readability have become more pronounced for firms audited by a newly pointed or long-tenure lead audit partner, with high business risk, poor monitoring of governance mechanisms or a large amount of nonaudit services. These results suggest that auditor partners may compromise auditor independence and use flexible narratives in audit reports as a form of moral insurance.

As auditors may manage audit report readability to reduce audit liability, authorities must formulate policies concerning audit report disclosure to strengthen its communicative value and simplify language usage. Additionally, authorities should strengthen quality control standards concerning auditor independence to reduce auditor pressure from clients’ economic importance.

This study provides valuable insights into auditors' responses to corporate earnings management behavior, particularly regarding the interplay between earnings management, audit report quality and regulatory changes, thus expanding our understanding of the dynamics within the auditing profession.

This study explores the career trajectories of Chief Executive Officers (CEOs) to uncover unique characteristics that contribute to their success. By utilizing web scraping and machine learning techniques, over two thousand CEO profiles from LinkedIn are analyzed to understand patterns in their career paths. This study offers an alternative approach compared to the predominantly qualitative research methods employed in previous research.

This study proposes a framework for analyzing CEO career patterns. Job titles and company information are encoded using the Standard Occupational Classification (SOC) scheme. The study employs the Needleman-Wunsch optimal matching algorithm and an agglomerative approach to construct distance matrices and cluster CEO career paths.

This study gathered data on the career transition processes of graduates from several renowned public and private universities in the United States via LinkedIn. Employing machine learning techniques, the analysis revealed diverse career trajectories. The findings offer career guidance for individuals from various academic backgrounds aspiring to become CEOs.

The building of a career sequence that takes into account the number of years requires integers. Numbers that are not integers have been rounded up to facilitate the optimal matching process but this approach prevents a perfectly accurate representation of time worked.

This study makes an original contribution to the field of career pattern analysis by disclosing the distinct career path groups of CEOs using the rich LinkedIn online dataset. Note that our CEO profiles are not restricted in any industry or specific career paths followed to becoming CEOs. In light of the fact that individuals who hold CEO positions are usually perceived by society as successful, we are interested in finding the characteristics behind their success and whether either the title held or the company they remain at show patterns in making them who they are today.

As a matter of fact, nearly all CEOs had previous experience working for a non-Fortune organization before joining a Fortune company. Of those who have worked for Fortune firms, the number of CEOs with experience in Fortune 500 forms exceeded those with experience in Fortune 1,000 firms.

Researchers, business professionals, and policymakers are now focusing on how disruptive innovations affect markets and business performance in the quickly changing business landscape of today. This study investigates the complexity of disruptive innovations and how they alter established organizational strategies and market structures. The study explores the core traits of disruptive innovations and looks at how they upend established business models and alter the structure of entire industries. This study employs a comprehensive literature review to identify the primary motivators behind disruptive innovations and their diverse impacts on market dynamics. It looks into how disruptive change is sparked by evolving consumer behavior, flexible business models, and emerging technologies. Additionally, research examines how businesses use internal reorganizations and strategic alliances among other tactics to capitalize on and adjust to disruptive innovations. It also examines how market leaders deal with these difficulties in an effort to stay competitive, shedding light on the possible risks and uncertainties related to disruptive innovations. It also highlights how crucial it is for organizations to have innovative cultures and proactive adaptation in order to prosper in a time of swift technological advancements.

In recent decades, organizations globally have faced challenges in adopting disruptive innovation. This chapter explores the relationship between change management and adopting disruptive innovations. Through a systematic analysis of existing literature, common themes and trends in this field are identified. The present study employs a bibliometric and content analysis of 77 publications to analyze the role of change management in the adoption of disruptive innovation. Additionally, a framework is presented to facilitate the understanding of how change management influences the adoption of disruptive innovations within organizations. The research highlights that embracing disruptive innovation is not straightforward; it demands a well-thought-out change management approach. This approach should emphasize cultivating an environment that encourages and nurtures innovation. Creating a culture that empowers employees to take risks and explore new ideas is crucial. Additionally, organizational culture, leadership, communication, and employee engagement emerge as critical factors for the successful adoption of disruptive innovations in the workplace. In summary, it is important to recognize that the successful adoption of disruptive innovations within organizations relies on the successful implementation of change management initiatives.

By integrating the Uses and Gratifications Theory and Flow Theory, this research seeks to untwine the veiled effects of interactive commerce enhancements (ICEs), specifically haptic imagery and social presence, in promoting user immersion and sustaining social commerce (SC) users' usage intention, considering the moderating role of autotelic personality.

The research utilized purposive sampling of Malaysian SC app users with recent transactions. A dual-source data collection approach, encompassing offline and online channels, was employed to ensure a broad and diverse respondent pool. Partial least squares–structural equation modeling was chosen for its adeptness in analyzing complex relationships in predictive studies.

The findings revealed the significant positive effects of haptic imagery and social presence on user immersion and continuance intention within SC apps. Social presence and immersion were found to mediate the proposed paths. Additionally, autotelic personality traits were identified as moderators, influencing the strength of these relationships.

This research makes a unique contribution by addressing critical gaps in SC environments, extending the concept of ICEs, understanding the impacts of underlying mediators and pioneering the examination of autotelic personality traits' moderating effects. It introduces a fresh perspective on how individual differences impact user engagement. This groundbreaking study benefits social media and interactive marketing literature by comprehensively understanding how ICEs elevate SC, fostering innovation and heightened engagement.

This research explores the impact of approach and avoidance drivers on users’ discontinuance usage intention (DUI) in social commerce (s-commerce). It also examines the mediating role of perceived enjoyment and the moderating role of autotelic personality traits.

Using a purposive sample of 465 s-commerce users in Malaysia, data analysis was conducted using partial least squares structural equation modeling (PLS-SEM).

This study demonstrates that informational support is a key approach driver, enhancing perceived enjoyment and reducing perceived deception and DUI. Although perceived deception does not directly affect perceived enjoyment, it significantly predicts DUI. Additionally, the impact of informational support on DUI is mediated by perceived enjoyment and moderated by autotelic personality.

S-commerce stakeholders, including platform developers, sellers and policymakers, can leverage these findings to foster a sustainable s-commerce environment. Implementing the proposed strategies can enhance perceived enjoyment and reduce DUI among current users.

This research advances s-commerce marketing and IS discontinuance studies by extending the approach-avoidance motivations model (AAMM) into s-commerce and incorporating autotelic personality as a moderating factor provides new insights into user DUI in this evolving field.

This study aims to proposes a theoretical model to understand the intention of Indonesian traditional micro businesses (MB) to continue using an e-marketplace.

This research involved the utilization and combination of habit formation and social impact theories to develop the model. A total of 162 responses were retrieved from the owners of traditional MB and used to validate the proposed model.

The results showed subjective norms to be the most substantial direct predictor of continuous usage, followed by usefulness, satisfaction and promotion proneness. Meanwhile, compatibility was found to have only an indirect effect through usefulness as a mediator. Moreover, moderating effect analysis also showed that the impact of herd behaviour was only significant for male and younger traditional MB owners.

The emphasis on the seller perspective using habit formation as well as the social impact theory to explain continuance behaviour is an alternative approach observed not to have been widely explored, especially for traditional businesses such as indigenous industry rather than organizations.

Using the upper echelons theory, this study aims to investigate the moderating effect of managerial discretion (MD) on the impact of dynamic managerial capabilities (DMCs) on established firms’ (EFs) response strategies to disruptive innovation (RStDI).

A cross-sectional study was conducted using an online questionnaire to collect data from senior management of sample firms, targeting the population of professional service firms (PSFs) operating in the Emirate of Dubai. After receiving 491 responses, data was analyzed using IBM packages (SPSS and Amos) through a covariance-based structural equation modeling technique.

As proposed, the underpinnings of DMCs (managerial human capital, managerial social capital and managerial cognitive perceptions) were associated with EFs’ strategies for responding to DIs. Surprisingly, despite theoretical predictions, MD did not moderate the relationship. These findings provided support to the main propositions of the upper echelons theory, however, not for its contextual moderator (MD).

The cross-sectional approach to testing the research model limits the identified significant effects that should be further investigated. The research sample was restricted to PSFs operating in Dubai, UAE, thus limiting the generalizability of the findings to the examined context.

The findings of this investigation are valuable to managers and hiring teams. They provide empirically supported insights on the critical role of managerial dynamic capabilities underpinnings (human capital, social capital and cognitive perceptions) in facilitating organizational RStDI. The findings also provide significant insights to policymakers, notably on the importance of innovative and well-crafted policies and regulative frameworks that enhance MD.

This study provides one of the first empirical quantitative analysis to assess MD and test its effects as a moderator, thus contributing significantly to the existing theoretical arguments on MD. To the best of the authors’ knowledge, this study is among the first to quantify the relationship between DMCs and organizational RStDI.

The study aimed to develop a disruptive production process innovation model from an emerging economy's agro-based dairy farming perspective based on the case of a Bangladeshi model dairy farm named Central Cattle Breeding and Dairy Farm (CBBDF), Savar, Dhaka.

The study used qualitative in-depth interviews, participants and document observation. Around 20 key informants were purposefully selected from the case organization.

The findings propose two different models for disruptive production process innovation toward sustainable agribusiness dairy farming from an emerging economy perspective and the modified process model from traditional dairy farms to modern dairy based on the stakeholders' (such as consumers, owners, managers and government) demand.

This study is the first attempt to develop a disruptive production process innovation and technology model for the dairy industry and its stakeholders' responsibilities from the experience of an emerging economy. The value of the research is in identifying factors under traditional dairy farming that need to be reduced and eliminated, and the factors under society, health concerns and value-added to existing farms need to be raised as per the global industry standard.

This study proposes a theoretical model to explain user intention to continue engaging with Social Commerce (SC) from a habit perspective. The research uses social impact theory, user personal traits, and SC quality to explain how user habits are formed in SC, leading to continued usage.

The study collected data from 868 Indonesian respondents using a cross-sectional field design. SEM analysis confirmed the proposed theoretical model, calculating direct, indirect, and moderating effects.

The results showed that the social aspect is the dominant construct influencing users’ habit of using SC. Further, the outcome indicates that habit significantly predicts Continuity usage. Profoundly, subjective norms are the most significant predictors of habit, followed by self-efficacy, content quality, and herd behavior. Meanwhile, Trust and Social Support only indirectly affect Habit through self-efficacy and content quality, respectively, as mediators. Additionally, the moderating effect analysis revealed that age and gender play a role in habit formation.

This study specifically explores the factors affecting the development of habits in SC usage, leading to repeated behaviors. This area has not been thoroughly examined in previous research. Therefore, this study seeks to address this gap by investigating how habits are formed through social interactions on SC platforms. Understanding habit formation provides an alternative way of comprehending the continued use of SC, as it is considered a significant factor that leads to continued intention.