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Dark Souls heralded a shift from the dichotomy of survival horror, and instead, thrust the player into a world where narrative was everywhere (if only you dared to look). This chapter explores the reimagination of Gothic narrative and narrative engagement in the cryptic and fragmented nested narratives of the iconic FromSoftware, Inc. series. In doing so, this chapter highlights the emergence of a hybrid ludo-narrative form within the Gothic genre, and examines the ways in which the series presents said narratives to the player as it shifts the onus of narrative engagement from the storyteller to the one now living the experience. The chapter explores video-ludic interpretations of death, play, and experientiality through the lens of video game studies, and posits the value of the series as a defining moment in the Japanese action role-playing game genre.

This study aims to examine the link between boards and audit committees and firm performance in Kuwaiti listed firms in the context of recent and extensive corporate governance regulatory reform.

Panel data regression analysis with fixed effects and clustered standard errors of firm performance for 61–97 listed industrial and services firms in Kuwait over a seven-year period. The dependent variables are the returns on assets and equity, the debt-to-equity ratio and leverage and Tobin’s Q and the independent variables comprise board of directors and audit committee characteristics, including size, the number of meetings and the numbers of independent and outside board and expert committee members. Firm size, subsidiary status and cash flow serve as control variables.

Mixed results with respect to the characteristics of the board of directors. Board size and independent and outsider board members positively relate only to Tobin’s Q and insiders only to debt to equity. For audit committee characteristics, committee size, independence and expertise positively relate to the return on equity and committee size and expertise only to Tobin’s Q. Of the five performance measures considered, board and audit committee characteristics together best determine Tobin’s Q.

Data from a single country limits generalisability and control variables necessarily limited in a developing market context. Need for qualitative insights into corporate governance reform as a complement to conventional quantitative analysis. In combining accounting and market information, Tobin’s Q appears best able to recognise the performance benefits of good corporate governance in terms of internal organisational change.

The recent corporate governance code and guidelines reforms exert a mixed impact on firm performance, with audit committees, not boards, of most influence. But recent reforms implied most change to boards of directors. One suggestion is that non-market reform may have been unneeded given existing market pressure on listed firms and firms anticipating regulatory change.

Kuwait’s corporate governance reforms codified corporate governance practices already in place among many of its firms in pursuit of organisational legitimacy, and while invoking substantial change to audit committees, involved minor change to firm performance, at least in the short term. Some firms may also have delisted in expectation of stronger corporate governance requirements. Regardless, these direct and indirect processes both improved the overall quality of listed firm corporate governance and performance in Kuwait.

Seminal analysis of corporate governance reforms in Kuwait, which have rapidly progressed from no corporate governance code and guidelines to an initially voluntary and then compulsory regime. Only known analysis to incorporate both board of directors and audit committee characteristics. Reveals studies of the corporate governance–firm performance relationship may face difficulty in model specification, and empirical significance, given the complexity of corporate governance codes and guidelines, leads in changing firm behaviour and self-selection of firms into and out of regulated markets.

The purpose of this paper is to identify the key roles of transparency in making artificial intelligence (AI) greener (i.e. causing lesser carbon dioxide emissions) during the design, development and manufacturing stages or processes of AI technologies (e.g. apps, systems, agents, tools, artifacts) and use the “explicability requirement” as an essential value within the framework of transparency in supporting arguments for realizing greener AI.

The approach of this paper is argumentative, which is supported by ideas from existing literature and documents.

This paper puts forward a relevant recommendation for achieving better and sustainable outcomes after the reexamination of the identified roles played by transparency within the AI technology context. The proposed recommendation is based on scientific opinion, which is justified by the roles and importance of the two approaches (compliance and integrity) in ethics management and other areas of ethical studies.

The originality of this paper falls within the boundary of filling the gap that exists in sustainable AI technology and the roles of transparency.

Dynamic movement primitives (DMPs) is a general robotic skill learning from demonstration method, but it is usually used for single robotic manipulation. For cloud-based robotic skill learning, the authors consider trajectories/skills changed by the environment, rebuild the DMPs model and propose a new DMPs-based skill learning framework removing the influence of the changing environment.

The authors proposed methods for two obstacle avoidance scenes: point obstacle and non-point obstacle. For the case with point obstacles, an accelerating term is added to the original DMPs function. The unknown parameters in this term are estimated by interactive identification and fitting step of the forcing function. Then a pure skill despising the influence of obstacles is achieved. Using identified parameters, the skill can be applied to new tasks with obstacles. For the non-point obstacle case, a space matching method is proposed by building a matching function from the universal space without obstacle to the space condensed by obstacles. Then the original trajectory will change along with transformation of the space to get a general trajectory for the new environment.

The proposed two methods are certified by two experiments, one of which is taken based on Omni joystick to record operator’s manipulation motions. Results show that the learned skills allow robots to execute tasks such as autonomous assembling in a new environment.

This is a new innovation for DMPs-based cloud robotic skill learning from multi-scene tasks and generalizing new skills following the changes of the environment.

This study aims to examine the factors influencing the quality of corporate governance in South Africa (SA). Firm-level variables including performance, firm size, leverage, investment opportunities and audit quality were identified from the corporate governance literature.

The study used ordinary least squares regression on firm-specific and corporate governance variables obtained from panel data of 247-firm years obtained from the annual reports of the 50 largest companies listed on the Johannesburg Stock Exchange (JSE) Securities Exchange of SA.

This study found leverage, firm size and investment opportunities as the main factors influencing the quality of corporate governance in SA.

The research findings should be interpreted in the light of the following limitations. First, the study sample consists of the 50 largest firms listed in the JSE of SA. Because these are large companies, the results may not be generalized to other smaller firms operating in SA. Second, this study is constrained to SA. Firms in other developing countries may differ from their SA counterparts.

The results of this study are important to the King Committee and other corporate governance regulators in Sub-Saharan Africa, in their effort to improve corporate governance practices and probably minimize corporate failure and protect the well-being of the minority shareholders. Furthermore, the study contributes to our understanding of the variables affecting the quality of corporate governance in developing economies of Africa.