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This paper aims to Solar photovoltaic (PV) power can significantly impact the power system because of its intermittent nature. Hence, an accurate solar PV power forecasting model is required for appropriate power system planning.

In this paper, a long short-term memory (LSTM)-based double deep Q-learning (DDQL) neural network (NN) is proposed for forecasting solar PV power indirectly over the long-term horizon. The past solar irradiance, temperature and wind speed are used for forecasting the solar PV power for a place using the proposed forecasting model.

The LSTM-based DDQL NN reduces over- and underestimation and avoids gradient vanishing. Thus, the proposed model improves the forecasting accuracy of solar PV power using deep learning techniques (DLTs). In addition, the proposed model requires less training time and forecasts solar PV power with improved stability.

The proposed model is trained and validated for several places with different climatic patterns and seasons. The proposed model is also tested for a place with a temperate climatic pattern by constructing an experimental solar PV system. The training, validation and testing results have confirmed the practicality of the proposed solar PV power forecasting model using LSTM-based DDQL NN.

Think your company is too small to implement Six Sigma? Or that it doesn't have the statistical analytical capabilities, or that it doesn't produce products or services suited to Six Sigma? Think again.

This paper aims to study the formation and preservation of behavioral integration (BI) in the top management team (TMT) of The Church of Jesus Christ of Latter-day Saints from 1844 to the present.

An analytically structured history approach within a case exemplar framework is adopted. Theoretical insights are extrapolated from the case study to form a process model of BI formation and preservation in TMTs.

The findings reveal that three factors primarily influence BI creation (induction, education and cementation) and that BI is preserved via an iterative process that is driven by CEO conservatorship, intentional mentoring and social modeling.

This study investigates an unexplored area in upper echelons theory: the process by which BI is formed and preserved in TMTs and presents a process model of BI formation and preservation that shifts attention in the literature from analyses of the effect of BI on various organizational outcomes to how it can be formed in the first place and then preserved.

This article is about how to fund care and support for a growing, and increasingly diverse, population of older people. We ask whether it is possible to create a funding settlement for longterm care that meets four criteria. These are: fairness; transparency; sustainability (financial and social sustainability); and capacity to support the outcomes that people want and value. Can we create a funding settlement that starts from people's lives ‐ not service‐based assumptions?

The purpose of this paper is to develop a supply chain management framework covering different business environment levels, that is, macro, micro and supply chain levels, and also to evaluate Haiti vs China as apparel-sourcing partners by assessing macro-level, supply-chain-level and micro-level environments from the US apparel buyers’ perspective.

In order to achieve this, first, a framework covering these business environment levels was developed and tested through path analysis. Prior to path analysis exploratory factor analysis was conducted to verify proposed factor structures. Data were collected using face-to-face interviews with a sample of 41 apparel companies that operate in the USA and source from China and Haiti.

This study found that both supply-chain-level and micro-level environments positively impact global supply chain performance. Supply-chain-level also has a direct effect on micro-level environment and macro-level environment has only a direct effect on supply-chain-level environment. Interviews and discussions based on this framework indicate that Haiti’s proximity to the USA, price, low-wage rates, small-order sourcing opportunities and good basic sewing skills are among Haiti’s strengths.

This study is unique in developing a multi-level environment framework for supply chain management and in comparing Haiti and China in terms of their supply chains to evaluate the potential competitiveness of Haitian apparel supply chain.

This paper examines the exercise of Black employee voice in South Africa over the past 53 years. Black workers constitute almost 4 out of every 5 workers in the country and experienced racial oppression from the time of colonisation up to the end of apartheid in 1994. They are still congregated around the lower skilled occupations with low incomes and high unemployment levels.

The paper draws on the theory of voice, exit and loyalty of Albert Hirschman, but extends voice to include sabotage as this encapsulates the nature of employee voice from about 2007 onwards. It reflects a culture of insurgence that entered employment relations from about that time onwards, but was lurking below the surface well before then.

The exercise of employee voice has gone through five phases from 1963 to mid-2016 starting with a silent phase for the first ten years when it was hardly heard at all. However, as a Black trade union movement emerged after extensive strikes in Durban in 1973, employee voice grew stronger and stronger until it reached an insurgent phase.

The phases employee voice went through were heavily influenced by the socio-political situation in the country. The reason for the emergence of an insurgent phase was due to the failure of the ruling African National Congress government to deliver services and to alleviate the plight of the poor in South Africa, most of whom are Black. The failure was due to neo-patrimonialism and corruption practised by the ruling elite and politically connected. Protests by local communities escalated and became increasingly violent. This spilled over into the workplace. As a result many strikes turned violent and destructive, demonstrating voice exercised as sabotage and reflecting a culture of insurgence.

The forensic nursing role is complex, creates tensions within itself and is underpinned by core values, knowledge, skills and personal attributes; often referred to as ‘good nurse’ characteristics (Smith & Godfrey, 2002). Forensic nurses perform unique, multifaceted roles; they are viewed by patients as ‘a source of treatment, comfort and advice’, but also as ‘part of the system that deprives them of their liberty’ (United Kingdom Central Council for Nursing, Midwifery and Health Visiting & University of Central Lancashire (UKCC & UCLAN), 1999: 42). This is problematic both for nurses and patients. Although appearing as opposites, security and therapeutic characteristics of nurses can and do co‐exist in forensic nursing (Peternelji‐Taylor & Johnson, 1996). Through critical analysis of dialogue from interviews and focus groups, this paper depicts forensic practice with people with a learning disability through a study that explores apparent ‘truths’ about such people detained in forensic settings (here referred to as ‘the men’) and the staff who work with them. Beliefs about nursing characteristics were exposed through discourses present in dialogue between the men and the staff. General research questions included: (1) What are the discourses related to learning disability and forensic practice? (2) What ideologies underpin and justify forensic practice? (3) What in particular are the positive discourses? Related discussion is primarily concerned with the way that staff and men share relationships and with characteristics of the nursing staff. Findings generally suggest that the staff may be viewed as prison wardens, leading to relationships of mistrust. Paradoxically, there are also positive discourses identifying warm and therapeutic relationships and good nurse characteristics of the staff. This may have practice implications, such as enabling staff to hear positive views expressed by the men and begin to develop metrics of ‘good’ forensic nurse characteristics that may positively affect treatment.

This paper explores the evidence on risk and vulnerability to depression of older people, looking at the complex interplay between physical ill health, disability, loss of intimates and social relationships, loneliness and depression, and the resources and protective factors at individual, social and community level that either buffer risk or promote psychological well‐being. It concludes, with Blazer (2000), that effective strategies for the prevention, treatment and management of depression must ‘proceed across multiple domains simultaneously’, and address social, environmental and economic as well as medico‐biological factors if interventions are to prove effective in this greatly neglected field. Action at government level to address social inequalities throughout the life course would also have a significant protective impact on mental well‐being in old age.

The purpose of this paper is to investigate the applicability of Shewhart methodology and other quality management principles to gain a deeper understanding of the observed volatility in stock returns and its impact on market performance.

The validity of quality management philosophy in the context of financial market behaviour is discussed. The technique of rational subgrouping is used to identify the observable variations in stock returns as either common or special cause variation. The usefulness of the proposed methodology is investigated through empirical data. The risk/return and skewness/kurtosis trade-offs of S&P 500 stocks are examined. The consistency of this approach is reviewed by relating the separated variability to “efficient market” and “behavioural finance” theories.

Significant positive and negative risk/return trade-offs were found after partitioning the returns series into common and special cause periods, respectively, while total data did not exhibit a significant risk/return trade-off at all. A highly negative skewness/kurtosis trade-off was found in total and special cause periods as compared to the common cause periods. These results are broadly consistent with the theoretical concepts of finance and other empirical findings.

The quality management principles-based approach to analysing financial data avoids the complexities commonly found in stochastic-volatility forecasting models.

The results provide new insights into the impact of volatility in stock returns. They should have direct implications for financial market participants.

The authors explore the relevance of Shewhart methodology in analysing variability in stock returns through reviewing financial market behaviour.