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In recent times, many organizations implementing total productive maintenance (TPM) have been failing in their attempts. Researchers attribute these failures to the shortcomings of TPM and of the implementing organizations. This paper aims to conduct a detailed study in order to understand these shortcomings and seeks to propose various solutions in the form of “best practices”, which leads to the development of world‐class maintenance systems (WMS). However, development of such alterative maintenance systems raises the following question: if an organization is planning to implement and improve their existing maintenance system then how can the manager make a decision between choosing alternative systems such as traditional maintenance systems, TPM and WMS? In the case of TPM or WMS, top management should be involved from the beginning to implement and follow up, as these decisions are complex and involve huge investment in the long term. Before starting implementation, top management should be convinced of the necessary justification, which requires analysis of various qualitative and quantitative factors apart from analyzing various tangible and intangible benefits. In such a situation, the conventional, financial justification techniques alone cannot be used.

The paper attempts to demonstrate the use of a multi‐attribute decision‐making (MADM) model, namely, the analytic hierarchy constant sum method (AHCSM) for justification of WMS by analyzing the performance measures of an organization.

The model showed that WMS is the best among the alternatives considered for the given circumstances. From the extensive analysis of the results from the model, implementing WMS would result in overall improvement in the performance of an organization.

The paper attempts to provide an understanding about the TPM shortcomings, WMS and its characteristics, apart from describing the proposed framework in detail. In addition to this, the AHCSM model has been developed for the justification of WMS and the algorithm for the same has been described in a step‐by‐step manner. It is believed that this MADM model will be useful for managers to supplement their strategic decisions.

According to the authors' knowledge, there has been so far no paper in the literature which has demonstrated the application of AHCSM in the field of maintenance management.

Rapid prototyping can potentially accelerate the entire process of new product development (NPD), enabling a high level of customer involvement and hence new product success (NPS). This study aims to examine the relationship between prototyping and NPS, and the moderating effect of customer involvement, as well as the influence of speed of information dissemination on customer involvement.

Data were collected using the survey method through structured questionnaires. The key participants were management and team leaders from technology-based companies.

The results indicate that prototyping positively correlates with NPS, particularly when customer involvement is high. The speed of information dissemination, both from customers and on competitive products, has a positive impact on customer involvement.

The study was limited by the undefined development stage of the prototype when offered for customer feedback. Future studies could focus on how customer involvement at each stage of prototype development affects NPS through a moderating effect.

The study confirms that investing in prototyping equipment for NPD increases the probability of NPS. Information capturing customers’ views and on competitive products in the market should be shared among the NPD teams. This could encourage better sharing of opinions and perceptions with customers about whether new products meet their wishes and expectations.

This study demonstrates that customer involvement moderates the relationship between prototyping and NPS. The degree of customer involvement depended on the speed of response of the customers themselves and on how well competitive product information was disseminated within the NPD team.

This paper describes the field of biotechnology and likely advances in health care, agricultural and other applications in industry, environmental science and energy over the next 15 years. The intent is to give those without a background in the life sciences a perspective of the broad scope of biotechnology. The forecasts at the end of each section illustrate some advances as well as some of the benefits and risks to society that might occur during the next 15 years.

The purpose of this article is to analyze the state-of-the art in a systematic way, identifying the main research groups and their related topics. The types of studies found are fundamental for understanding the application of artificial neural networks (ANNs) in cemented soils and the potential for using the technique, as well as the feasibility of extrapolation to new geotechnical or civil and environmental engineering segments.

This work is characterized as being bibliometric and systematic research of an exploratory perspective of state-of-the-art. It also persuades the qualitative and quantitative data analysis of cemented soil improvement, biocemented or microbially induced calcite precipitation (MICP) soil improvement by prediction/modeling by ANN. This study sought to compile and study the state of the art of the topic which possibilities to have a critical view about the theme. To do so, two main databases were analyzed: Scopus and Web of Science. Systematic review techniques, as well as bibliometric indicators, were implemented.

This paper connected the network between the achievements of the researches and illustrated the main application of ANNs in soil improvement prediction, specifically on cemented-based soils and biocemented soils (e.g. MICP technique). Also, as a bibliometric and systematic review, this work could achieve the key points in the absence of researches involving soil-ANN, and it provided the understanding of the lack of exploratory studies to be approached in the near future.

Because of the research topic the article suggested other applications of ANNs in geotechnical engineering, such as other tests not related to geomechanical resistance such as unconfined compression test test and triaxial test.

This article systematically and critically presents some interesting points in the direction of future research, such as the non-approach to the use of ANNs in biocementation processes, such as MICP.

Regarding the social environment, the paper brings approaches on methods that somehow mitigate the computational use, or elements necessary for geotechnical improvement of the soil, thereby optimizing the same consequently.

Neural networks have been studied for a long time in engineering, but the current computational power has increased the implementation for several engineering applications. Besides that, soil cementation is a widespread technique and its prediction modes often require high computational strength, such parameters can be mitigated with the use of ANNs, because artificial intelligence seeks learning from the implementation of the data set, reducing computational cost and increasing accuracy.

In the last few years, environmental issues have become a matter of survival. In this sense, e-waste management is among the major problems since it may be a way of mitigating mineral depletion. In this context, the literature lacks e-waste supply chain studies that systematically map supply chain challenges and risks concerning material recovery.

Given this context, the authors' paper conducted a systematic literature review (SLR) to build a framework to identify the constructs of e-waste supply chain risk management.

The paper revealed the theoretical relationship between important variables to achieve e-waste supply chain risk management via a circular economy (CE) framework. These variables include reverse logistics (RL), closed-loop supply chains (CLSC), supply chain risk management, supply chain resilience and smart cities.

The literature contributions of this paper are as follows: (1) a complete list of the risks of the e-waste supply chains, (2) the techniques being used to identify, assess and mitigate e-waste supply chain risks and (3) the constructs that form the theoretical framework of e-waste supply chain risk management. In addition, the authors' results address important literature gaps identified by researchers and serve as a guide to implementation.

This essay examines the issues that the ongoing revolution in biosciences and biotechnology pose to social science. A convenient frame for examining these issues is the framework of “thematic priorities” established by the British funding agency for social science, the Economic and Social Research Council (ESRC). These “thematic priorities” are used to identify major challenges and opportunities that currently confront social research. Though not constructed as part of a futures exercise, this framework proved useful for organising the issues that were generated from literature review and brainstorming, provided a stimulus to identify new issues, and was a useful filter for presenting results to the ESRC, which sponsored the study. This range of issues does not just call for interaction between natural and social scientists: there is also need for the sharing of knowledge and perspectives across diverse fields of social science. In order to help inform future research priorities, we need to move beyond the perspectives of single disciplines, and make sure that we do not simply emphasise those areas where social scientists have already been actively engaged. The study concludes clearly that there is a huge range of vital questions that social science needs to address if we are to understand, let alone bring more social intelligence to bear on shaping, the scientific and technological revolutions that are under way, and their broader social implications.

To define strategic directions for the Russia’s social, economic, scientific and technological development in 2011-2013, a large-scale foresight study including the deep analysis of prospects of biotechnology development there was undertaken (Russia 2030: Science and Technology Foresight). This paper aims to present results of this research.

The study was based on a combination of technology-push and market-pull approaches that aimed not only to identify most promising science and technology (S&T) areas but also to understand how they can be realized in practice. Representatives from federal authorities, science and business were involved in the project to create future visions of technological directions; analyze grand challenges, weak signals and wild cards; and set research and development (R&D) priorities.

According to results of the study, Russia has a potential for biotech sector development, although the level of R&D in the majority of areas is lagging behind that in the USA and leading EU countries. However, there are several advanced applied research areas where efforts can be focused. Among them are high-performance genomics and post-genomics research platforms, systems and structural biology, microbial metabolic engineering, plant biotechnology and microbial strains and consortia for development of symbiotic plant–microbial communities.

Concentration of available resources of government and business on biotechnological sector development can help to find answers for challenges that Russia faces today or will face tomorrow. It will help to pick up on the current level of research activities, improve the quality of personnel training, make this area the engine of the economy and carry out the so-called new industrialization of the country, building a new, high-tech device industry.

The purpose of this paper is to analyse factors affecting the use of pesticides in intensive vegetable farming in Java, Indonesia. Evaluating such factors is expected to provide appropriate policies to reduce pesticides, and eventually, mitigates the adverse impacts of pesticides on human health and the environment.

Data were compiled from a farm survey of randomly selected 240 vegetable farmers in three regions of Java in 2014. A concept of economic threshold was employed to analyse the pesticide use determinants, which were estimated using econometric models.

Factors leading to the increase in the application of pesticides were the number of observed insect pests, prices of vegetables, use of local varieties, and use of mixed pesticides. Conversely, factors lowering the use of pesticides were the number of observed diseases, the cost of pesticides, and area planted to vegetables. The most important factor in influencing pesticide use was farmers’ perception on the correct prediction of yield losses associated with pests and diseases.

The sample for this research is somewhat low and the analysis was based on one-year data of the quantity of pesticides in a formulation.

The use of pesticides can be reduced by training farmers on crop protection practices, which provide correct information on pests and diseases. Policies related to the price of pesticides would be ineffective, as farmers still highly relied on pesticides. These findings will be useful for reducing the use of pesticides in intensive vegetable farming in Indonesia, and in tropical countries in general.

Pesticides have two opposite properties: to increase income on the one side and to cause devastation of life on the other side. Because pesticides are generally less selectively toxic than would be desired, non-targets including humans and the environment must be protected from contamination by these agrochemicals. This study found the most important determinants for reducing pesticide exposures in Indonesian intensive farming.

The means to quantify the inputs to be used by a valuation surveyor in an explicit model for appraising contaminated land are explored. These relate to treatment techniques and cost estimates; and forecasting techniques and the forecasting of future rent and capital flows, cost changes and depreciation. A comparison is made with a “traditional” valuation approach. It is concluded that an explicit approach is more likely to satisfy the calls for more sophisticated and creditable approaches and more explanation and justification in appraisals and valuations.