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Creation of new products from existing solutions (product re‐design) shortens new product introduction phases and reduces costs. The product re‐engineering process is a new approach to the realisation of substitute components without the benefit of original design process documentation or any other documentation relating to the component. Re‐engineering comprises stages which are potentially applicable to many industries. This research applies an enterprise modelling architecture to modelling the re‐engineering process, producing descriptions of the process from several different descriptive views, namely function, information, resource and organisation. This results in a more complete description of the process, in which the model itself may be used as a reference for the implementation of a re‐design process in a particular company. This research also shows how the information modelling constructs of CIMOSA can be used to meet the particular unique requirements of the process of re‐design.

The legitimacy of history: dictated Bloch. Today, in many areas of knowledge, and of course in entrepreneurship (Wadhwani, 2010), it has become superlative. The aim of this chapter is analyzing the literature about entrepreneurship in Mexico mainly from the last 11 years of studies on the subject. Through this review, we want to highlight the progress in the field, as well as deeper opportunities in its research as a result of it, the profound need for incorporating them not only in the national academic debate but also into the entrepreneurship ecosystem and in specific public policies.

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

The contributions of this chapter are to establish (a) simultaneous dependence between female labor force participation rate (FLFPR) and their health status measured by the life expectancy; (b) the roles of (i) air pollutants in explaining female life expectancy (FLE); and (ii) joint interactions of different explanatory variables in determining both FLFPR and FLE, by estimating a simultaneous panel model comprising equations of FLFPR and FLE, using Baltagi’s Instrumental-Variable EC2SLS method and 13 major Indian state-level data for urban sector, over 2004–2005 to 2011–2012. The air pollutants (measured by prevalence of SO₂ and NO₂) have significant negative impacts on FLE. The interaction effect of air pollutants with economic growth on FLE is negative implying that the partial effect of a change in growth depends on air pollution level. FLFPR can be improved by reducing air pollution through health, as FLE significantly affects FLFPR positively. The roles of other socioeconomic variables affecting FLFPR and FLE are also evident.

Purpose – The vulnerability and adaptive capacities of cities in Latin America have received relatively less attention compared to other regions of the world. This chapter seeks to address these gaps by (a) examining vulnerability to the health impacts from air pollution and temperature, and exploring whether socioeconomic factors between neighborhoods differentiate these risks within the cities of Bogota, Buenos Aires, Mexico City, and Santiago and (b) assessing the capacity of urban populations to perceive and respond to vulnerability and risk.

Design/methodology/approach – Because of the complex nature of vulnerability, we combined a set of quantitative and quantitative methods and data to determine whether and under what conditions the people in these cities are vulnerable (e.g., Time Series Analysis, Generalized Linear Model, and statistical correlations of exposure and human mortality with socioeconomic vulnerability).

Findings – We found high levels of PM10, ozone, and other criteria air pollutants in three cities for which we had data. However, the pattern of their impacts on health depends on the particulars of pollutant levels and atmospheric and weather conditions of each city. Our results reflect the varied facets of urban vulnerability and shed light on the nature of the associated human health risks. Although wealthy populations have access to education, good quality housing, and health services to mitigate some environmental risks, overall the data show that health impacts from air pollution and temperature in the study cities do not necessarily depend on socioeconomic differentiations.

Research limitations/implications – Although we sought to use quantitative and qualitative methods, given the complexity of the research, it has proven difficult to fully explore these issues across scales and with a full accounting of local context.

Practical implications – Our findings show that wealthy and educated populations may be equally at risk to the health implications of air pollution. Policies designed to mitigate these risks should not use socioeconomic characteristics as predictors of a population's risk in relation to air pollution.

Originality/value – This research contributes valuable insights into the dynamics of vulnerability to air pollution in Latin American cities, a region that has been historically underrepresented in empirical studies of urban risk. We have also combined a range of methods and approaches to improve our understanding of the multifaceted nature of urban vulnerability to global environmental change.

The purpose of this study is to assess if the mediating effect of green innovation capability (GIC) in the relationship between green market orientation (GMO) and new product success (NPS) was conditional on the moderating effects of green knowledge acquisition (GKA) and green brand positioning (GBP).

The analysis was based on primary data gathered using a structured questionnaire, which was developed on a five-point Likert scale of 1-Strongly disagree to 5-Strongly agree. There were 259 manufacturing firms engaged in the study, with data analyzed using PROCESS macro (v.3.4) for SPSS (v.23).

The research revealed that GMO had no direct effect on NPS among manufacturing firms, the relationship was rather mediated by GIC of the firms. The effect of GMO on GIC was moderated by GKA, whereas the effect of GIC on NPS was moderated by GBP. Overall, the mediating effect of GIC in the relationship between GMO and NPS was conditional on the moderating effects of GKA and GBP.

The study focused on only knowledge acquisition (green), without recourse to assimilation, transformation and exploitation. These may, however, be very important in explaining the role of knowledge in green innovation.

Green market-oriented manufacturing firms must seek to also make investments in GIC to transform those concepts into successful innovative products.

Despite the increasing number of studies on GMO, very limited concentration has been paid to how firms could leverage on the potentials of GMO to enhance the success of new products introduced into the market. This study did not just establish the effect of GMO on the success of new products but also identified some intervening variables in this relationship.

Material extrusion (MEX) is a class of additive manufacturing (AM) process based on MEX principle. In the viewpoint of Industry 4.0 and sustainable manufacturing, AM technologies are gaining importance than conventional manufacturing route (subtractive manufacturing). Because of the ease of use and lesser operation skills, MEX had wide popularity in industry for product and prototype development. This study aims to analyze energy consumption of MEX-based AM process and its influencing factors.

A group of factors were identified pertaining to MEX-based AM process. In this viewpoint, this study presents the configuration of a structural model using interpretive structural modeling (ISM) to depict dominant factors in MEX-based AM process. A total of 18 influencing factors are identified and ranked using ISM methodology for MEX process. The Impact Matrix Cross-reference Multiplication Applied to a Classification analysis was done to categorize influencing factors into four groups for MEX-based AM process.

The derivation of structural model would enable AM practitioners to systematically analyze the factors and to derive key factors which enable comprehensive energy modeling and energy assessment studies. Also, it facilitates the development of energy efficient AM system.

The development of structural model for analysis of factors influencing energy consumption of MEX-based AM is the original contribution of the authors.

The paper examines a financial service innovation process, which is referred to as financial product innovation: improvements to existing services. This study conducts a critical analysis of the operational process of opening a Lloyds TSB Student Account at a local branch.

The process of opening a student bank account is documented in a flowchart/flow network, which highlights operational steps and the visibility line between front‐end and backroom staff. This process mapping technique/flowchart allows for the diagnosis and identification of both potential and actual bottlenecks in the existing process, which prevented a quality service encounter for the customer. After outlining these problematic areas/non‐value added activities, the adopted qualitative triangulated methodological approach yields a redesigned flowchart illustrating these changes. Furthermore, this paper proposes a re‐engineered process (i.e. e‐process or virtual process), which removes these bottlenecks systematically.

The results show the increased efficiency, productivity and customer satisfaction levels that are the key to innovation process performance. The study concludes with evidence of non‐financial performance results of this type of financial service innovation.

The study does not quantify the performance of e‐process operations, and it does not examine customer concerns related to complexity, trust security and safety issues. However, it provides useful managerial recommendations for improving the process of opening a student account. Numerous key learning points and invaluable insights gathered during this project are practical contributions both to managers involved in innovation process and researchers interested in this domain.

This paper provides a re‐engineered process which is simpler, more economical and faster than the original process. It presents principles to diagnose appropriate service operation processes for re‐engineering using action mapping programmes and review their innovation performances. Managers will learn new frameworks, diagnostic tools and analysis techniques to better understand and improve their firm's service operations. This study is designed to give service innovation managers and e‐marketers instantaneous and continuous improvement in the quality of their e‐service designs.

One of its contributions lies in increasing the ability of managers to improve their knowledge and skills for responding to the e‐service innovation process. It adds to the growing literature on the innovation process for financial services. While the study answers a number of salient questions, it also produces a stimulus for further investigation of service innovation through the provision of future research directions in this area.

The evolution of technology from the most recent industrial age to the technology era better known as Industry 4.0 resulted in greater demand for horizontal, vertical and end-to-end digital integration. Prior studies show that Industry 4.0 adoption majorly influences the sustainability aspects in a supply chain network. The purpose of this paper is to identify the Industry 4.0 enablers of supply chain sustainability and further attempt to propose a research framework to bridge the theoretical gaps.

In this research study, the authors have used a systematic literature review methodology in the field of Industry 4.0 and sustainable supply chain management. The list of papers was downloaded from Scopus (www.scopus.com) database. Through strict screening, only journal papers were selected for conducting the review of the literature.

The review brings out some interesting findings which will be helpful for the research community. There have been limited research in the area of managing supply chain network sustainability through Industry 4.0 technologies. The authors found only 10 papers out of a total of 53 papers which emphasize on smart manufacturing, smart production system, smart warehouse management system, smart logistics and sustainability. Most of the previous research studies have ignored the social aspects of supply chain sustainability. Finally, the authors identified 13 key enablers of Industry 4.0 playing an important role in driving supply chain sustainability.

The strategies for Industry 4.0 should be refined and detailed to develop economic and social systems that can act flexibly to sudden changes in the system. Top management must be convinced for prioritizing investment support and creating a system that can facilitate technology convergence. Managers must also act on new models of employment and frame plans to continuously improve the system. In addition, managers must focus on establishing a collaborative platform to facilitate high-tech research and developments. Finally, it is essential to develop a performance management system for monitoring all actions in the supply chain network.

Integrating two independent subjects is the uniqueness of the current study. Here, Industry 4.0 and supply chain sustainability have been integrated to build the research framework, and in such a process, the authors have extended the existing knowledge base.

The purpose of this paper is to present a systematic review and analysis of existing research articles on new product development (NPD) published in the 12-year period starting from 1998 to 2009.

To explore the articles related to NPD, four key words namely new product, product design, product development and product innovation were used in combination of title or abstract or keyword of the articles through several knowledge databases. The abstracts of journal papers were read and a decision as to whether article belongs to any NPD research issue or not was made. In total, 1,127 research articles were categorized systematically and then analyzed on various principal NPD information groups.

Analysis of selected articles led to a certain level of dispersion in the publication of NPD research in different journals. It is found that more attention needs to be on knowledge and creativity management, communication and information transfer in any NPD process.

By observing extended literature from authors reviewing articles from various journals, growth in research, and variety of topics covered in NPD, a broad systematic multi journal review of NPD literature is clearly overdue. The authors have developed a comprehensive listing of publications on NPD where they have classified the surveyed papers according to various principal NPD information groups like: published year, NPD research stream, type of organization studied (industrial/consumer/service), level of innovation (high/moderate/low), NPD focus on frameworks, performance perspective (success, failure or both), NPD research design (conceptual/empirical and qualitative/quantitative) and NPD relevant best practice element. Based on the classification scheme, the issues were analyzed from the system's perspective and their implications to NPD research.