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This study examines whether the source from which nonprofessional investors obtain corporate social responsibility (CSR) disclosure influences their investment-related judgments and decisions and whether that influence depends on the company's financial performance. In an experiment, we find an asymmetrical effect of information source that varies with financial performance. In particular, information source affects investors' management credibility judgments when the firm announces unfavorable earnings result but not when the announced result is favorable. The mediation analysis reveals that investors' management credibility judgments mediate the joint effect of information source and financial performance on investors' investment decisions. Our findings highlight that the effectiveness of CSR communication can be complicated and that investors are sensitive to other factors that exist in the communication setting, such as the context in which CSR is disclosed (contextual factor) and information source of CSR disclosures (attributional factor).

Introduction: Many organisations nowadays use artificial intelligence (AI) in human resource (HR) activities like talent acquisition, onboarding of new employees, learning and development, succession planning, retention of employees, and automation of administrative tasks. When AI is integrated with HR practices, it helps HR personnel to focus more on the strategic aspects of the HR function and relieve them from routine HR activities.

Purpose: The readiness of employees to accept any change depends on organisational facilitation to change, employee willingness to accept the change, the requirement for change, situational factors, etc. This research studies the factors influencing employees’ change readiness towards acceptance of AI in HR practices. The researchers also strive to develop a conceptual technology adoption model for AI in HR practices by studying the earlier models. Finally, the research explores the acceptance of AI by various service sector employees and identifies whether there is any difference in their acceptance of AI based on demographic variables.

Methodology: A conceptual framework was derived using a combination of previous models, including the Technology Readiness Index (TRI), Change Readiness Scale, Technology Acceptance Model (TAM), Technology, Organization, and Environment (TOE) model, and change readiness scale. A structured questionnaire was designed and distributed to 228 respondents from the service sector based on the conceptual framework. An exploratory factor analysis (EFA) was used to determine the elements that influence employees’ level of change readiness.

Findings: The exploratory results on data collected from 228 respondents show that the model can be used for further research if a confirmatory factor analysis and validity and reliability test are performed. Employees are aware of AI and how it is used in HR practices, based on the study results. Moreover, while most respondents favour using AI in their company’s HR practices, they are wary of some aspects of AI.

What may be another kinship of law and death? To suggest that death is a work may allow us (I hope misleadingly) to suggest, by way of something more than coincidence – but less than perfect parallel – that law is the very definition of absolute limit. In this sense law would be death’s shadow, a shadow cast by the sun of life as it shines on death, a sun toward which Giorgio Agamben seems to have been moving in his recent writing. (1998) And yet, as if in presumptive rebuttal, Michel Foucault convincingly suggested years before Agamben’s intervention, in a meditation on Maurice Blanchot, that “The law is the shadow toward which every gesture necessarily advances; it is itself the shadow of the advancing gesture” (Foucault, 1987, p. 35). Every gesture directs our attention away from the sun’s light and toward the cave of the everyday, where the fire may come, when it comes and if it comes, from places otherwise.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

New asymptotic approximations are established for the Wald and t statistics in the presence of unknown but strong autocorrelation. The asymptotic theory extends the usual fixed-smoothing asymptotics under weak dependence to allow for near-unit-root and weak-unit-root processes. As the locality parameter that characterizes the neighborhood of the autoregressive root increases from zero to infinity, the new fixed-smoothing asymptotic distribution changes smoothly from the unit-root fixed-smoothing asymptotics to the usual fixed-smoothing asymptotics under weak dependence. Simulations show that the new approximation is more accurate than the usual fixed-smoothing approximation.

Mainstream pornography is popular, freely accessible, and infused with themes of male dominance, aggression, and female subservience. Through depicting sex in these ways, mainstream pornography has the potential to influence the further development of harmful sexual scripts that condone or endorse violence against women and girls. These concerns warrant the adoption of a harms-based perspective in critical examinations of pornography's influence on sexual experiences. This chapter reports on findings from interviews with 24 heterosexual emerging adults living in Aotearoa/New Zealand about how pornography has impacted their lives. Despite a shared awareness among participants of mainstream pornography's misogynistic tendencies, and the potential for harm from those displays, men's and women's experiences were profoundly gendered. Men's reported experiences were often associated with concerns about their own sexual behaviors, performances, and/or abilities. Conversely, women's experiences were often shaped by how pornography had affected the way that men related to them sexually. Their experiences included instances of sexual coercion and assault which were not reported by the men. These findings signal the need for a gendered lens, situated within a broader harms-based perspective, in examinations of pornography's influence.

Measurement of diminishing or divergent cross section dispersion in a panel plays an important role in the assessment of convergence or divergence over time in key economic indicators. Econometric methods, known as weak σ-convergence tests, have recently been developed (Kong, Phillips, & Sul, 2019) to evaluate such trends in dispersion in panel data using simple linear trend regressions. To achieve generality in applications, these tests rely on heteroskedastic and autocorrelation consistent (HAC) variance estimates. The present chapter examines the behavior of these convergence tests when heteroskedastic and autocorrelation robust (HAR) variance estimates using fixed-b methods are employed instead of HAC estimates. Asymptotic theory for both HAC and HAR convergence tests is derived and numerical simulations are used to assess performance in null (no convergence) and alternative (convergence) cases. While the use of HAR statistics tends to reduce size distortion, as has been found in earlier analytic and numerical research, use of HAR estimates in nonparametric standardization leads to significant power differences asymptotically, which are reflected in finite sample performance in numerical exercises. The explanation is that weak σ-convergence tests rely on intentionally misspecified linear trend regression formulations of unknown trend decay functions that model convergence behavior rather than regressions with correctly specified trend decay functions. Some new results on the use of HAR inference with trending regressors are derived and an empirical application to assess diminishing variation in US State unemployment rates is included.

There is significant amount of literature tackling different issues related to the port industry. The present chapter focuses on a single business unit of seaports aiming at the documentation of works related to container terminals.

An effort to review, collect and present the majority of the works present in the last 30 years, between 1980 and 2010, has been made in order to picture the problems dealt and methods used by the authors in the specific research field. To facilitate the reader, studies have been grouped under five categories of addressed problems (productivity and competitiveness, yard and equipment utilization, equipment scheduling, berth planning, loading/unloading) and four modelling methodologies (mathematics and operations research, management and economics, simulation, stochastic modelling).

The analysis shows that most works focus on productivity and competitiveness issues followed by yard and equipment utilisation and equipment scheduling. In reference to the methodologies used managerial and economic approaches lead, followed by mathematics and operations research.

In reference to future research, two fields have been identified where there is scope of significant contribution by the academic community: container terminal security and container terminal supply chain integration.

The present chapter provides the framework for researchers in the field of port container terminals to picture the so far works in this research area and enables the identification of gaps at both research question and methodology level for further research.