A mixed control chart for monitoring failure times under accelerated hybrid censoring

In an accelerated hybrid censoring scheme several stress factors can be accelerated to make the products to respond to fail more quickly than under normal operating conditions. In such situations, the control charts available in the literature cover the attribute characteristics only to monitor the performance of the process over time. This study extends the idea by proposing an optimal mixed attribute-variable control chart for Weibull distribution under an accelerated hybrid censoring scheme keeping the advantages of both attribute and variable control charts. It first monitors the number of defectives under accelerated conditions and switches to the variable control chart to investigate the mean failure times when the process stability is dubious. The performance of the proposed chart is evaluated by using run-length characteristics, and the optimality of the design parameter is achieved by minimizing the out-of-control average run length. The simulation study depicted better performance of the proposed control chart than the traditional charts in detecting shifts in the process. A real-life application is also included.KEYWORDS: Mixed control chart, attribute chart, variable chart, Weibull distribution, accelerated hybrid censoring     

Application of data mining to minimize fire-induced domino effect risks

Data mining (DM) has been applied in many advanced science and technology fields, but it has still not been used for domino effect risk management to explore minimum risk scenarios. This work investigates the feasibility of DM in minimizing the risk of fire-induced domino effects in chemical processing facilities. Based on DM, an evidential failure mode and effects analysis (E-FMEA), which could bridge chemical facilities’ operational reliability and domino effect risk, is combined with fault tree analysis (FTA) for the occurrence risk modeling of loss of containment (LOC) event of chemical facilities, which is often the triggering point of fire-induced domino effects. Industry specific data such as reliability data, inspection records, and maintenance records are of great value to model the potential occurrence criticality of LOC. The data are used to characterize the LOC risk priority number (RPN) of chemical facilities through FTA and E-FMEA, search and statistics rules are proposed to mine inspection records to assess LOC risk factors. According to the RPN scores of facilities, inherent safety strategies to minimize risk via inventory control are proposed, and their effectiveness is tested using a well-known probit model. In this way, the approach proposes a unit-specific evidence-based risk minimization strategy for fire-induced domino effects. A case study demonstrates the capability of DM in the risk minimization of fire-induced domino effects.     

Does Demographic Transition with Human Capital Dynamics Matter for Economic Growth? A Dynamic Panel Data Approach to GMM

Social Indicators Research - This study seeks to empirically investigate whether demographic transition with dynamics of human capital matters for economic growth for a representative sample of...     

Impact of Political Risk and Uncertainty on FDI in South Asia

This study examines the potential effect of political risk and macroeconomic policy uncertainty on FDI in South Asia. To highlight the affect of political risk and macro policy uncertainty on FDI, we setup a theoretical framework based on oligopolistic and imperfect competition environment in host country. Autoregressive distributed lags (ARDL) is used to examine the impact of political risk and macro economic policy uncertainty index on FDI inflows. Macroeconomic policy uncertainty and political risk indices are constructed for this purpose. The long run results show negative affect of political risk and macroeconomic policy uncertainty indices on FDI inflows. Trade openness shows positive effect on FDI inflows only in short run while in long run it has negative impact on due lack of creditability regarding consistent trade liberalization policy and high trade cost. Furthermore, the market size significantly affects the inflow of FDI both in long run and short run which shows that FDI inflows in South Asia are mainly depend on market size. South Asian economies need to focus on political and macroeconomic factors along with FDI incentives policies to attract more FDI.     

Old and New Forms of Giving: Understanding Corporate Philanthropy in India

Corporate philanthropy in India is burgeoning due to a fast growing economy, rise in the number of billionaires, and the recent introduction of legislation that mandates spending 2 % of company profits on corporate social responsibility. Through analysis of key historical and anthropological texts, we argue that ‘business philanthropy has a long and honorable history in India’ (Sidel, Voluntas: International Journal of Voluntary and Nonprofit Organizations 12(2):171–180, 172, 2001), and explain this with reference to Indian giving practices from Hindu, Mughal (Muslim), British Raj, and Gandhian traditions. We then move into a review of the emerging field of literature on corporate philanthropy, to explore how these traditions synthesized with contemporary global business and economic practices to create a distinct form of Indian corporate philanthropy. We necessarily also include an overview of its salient critiques. This will be of interest to those concerned with Indian philanthropy and of culturally specific scholarship of philanthropy.     

Media Action Research Group: toward an antiauthoritarian profeminist media research methodology

The Media Action Research Group (MARG) is an antiauthoritarian, profeminist (antiracist, anticolonial, queer, trans and anti-capitalist) group of activist-researchers both inside and outside the university, studying autonomous social movement media activism in Canada and beyond. In this article we map a taxonomy of activist-research, illustrating how MARG brings together five specific methodologies—activist-led issue-based research, militant participatory ethnography, feminist community research, prefigurative antiauthoritarian feminist participatory action research (PAFPAR), and autonomous media research—to study how women, people of colour, queer and trans people, and Indigenous people in antiauthoritarian or anarchist-leaning social movements are using grassroots media to support and report on these movements. We find that although MARG set out to create an antiauthoritarian research-activist collective, we are restricted in some ways by the intensification of neoliberalism in the university institution. Nonetheless we are able to conduct transgressive research at the intersection between antiauthoritarian activism and the academy, producing three direct and immediate impacts: within social movements, within media activism, and within the university.     

Does the Minimum Wage Bite into Fast-Food Prices?

We study the effect of increases in effective minimum wages on the prices of several fast-food items using quarterly city-level data from 1993–2014, a period during much of which the federal minimum wage declined in real value while state-level legislation flourished. For one product, a burger, we find a robust price elasticity of 9 % with respect to the minimum wage. This estimate indicates substantial cost pass-through when contextualized by the effect of minimum-wage increases on restaurant wage bills. Our estimate for pizza is suggestive of a similarly large pass-through rate but is less precisely estimated, and our estimate for fried chicken is near zero, but estimated even less precisely. Taken as a whole, our estimates point toward sizable cost pass-through of minimum wage increases to consumer prices. These results contribute to a mixed literature on the consumer burden of minimum wage increases.     

Employee voice on social media — An affordance lens

Voice mechanisms in organizations provide an opportunity for employees to have a say about their work. As new digital mechanisms, such as social media (SM), are being increasingly adopted by organizations for knowledge sharing, employee engagement and general communication, it is important to consider the extent to which SM may facilitate employee voice. The limited attempts to examine SM and employee voice have mostly focused on identifying the contextual factors that could promote constructive voice on SM. The extant literature does not explore how SM features may (or may not) facilitate all types of voice, such as those which promote employee interests. Adopting an affordance lens, this paper answers the call of voice scholars to explore the potential of SM as a voice mechanism by discussing the perceived value of different SM features for different types of employee voice content. The paper brings together SM and voice literature and explores how different SM affordances may potentially facilitate certain voice content more so over others. In doing so, future directions for research of voice on SM are also discussed.     

以EMME／2为平台估测温室气体的研究成果

京都协议已确认并应用战略战术措施来减少温室气的排放，因此，城市交通系统规划人员不得不寻求一种革新的方法来满足京都协议的要求。本文包括四部分：第一部分简要介绍了环境可持续的城市交通的概念，油耗，温室气体排放和京都协议的要求；第二部分描述了温室气体排放估测所需的方法，并指出了在实践中存在的缺陷，第三部分阐述了如何应用ＥＭＭＥ／２作为平台来估测室气体的排放；最后第四部分作了总结。     

How Do Mutual Dependence and Power Imbalance Condition the Effects of Technological Similarity on Post-acquisition Innovation Performance Over Time?

This study investigates how mutual dependence and power imbalance, which have been differentiated by recent studies adopting the theoretical lens of resource dependence theory (RDT) as two distinct forms of interdependence, change the effect of technological similarity between the acquiring firm and the target firm on post-acquisition innovation across times. The analysis of panel data on mergers and acquisitions undertaken by US firms reveals that in the short-run, mutual dependence strengthens the effect of technological similarity on post-acquisition innovation, whereas power imbalance weakens it. However, the effect of mutual dependence persists over time, while that of power imbalance declines over time. These findings extend the RDT to the context of technological acquisition and innovation and offer important implications for research and practice.