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The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

Purpose – The purpose of this research is to study the process conditions that give best yield and expected compositions of liquid smoke products that result during the pyrolisis process relying on predetermined variables.

Design/Methodology/Approach – Pyrolisis process running times are varied, that is, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, and 6 hourly. Condensing temperature maintained remained 25–30 °C. Products identification was applied by using gas chromotography mass spectroscopy.

Findings – Based on the research output, it was concluded that process conditions which give maximum yield were achieved when using double unit condenser (DUC) and time optional four hours, and it provides maximum volume liquid smoke product, and compositions of pyrolisis products. The process also created seven components, namely nepthalene, propanoic acid, 3,7 nanodiena, 2 metilguaiakol, 2-metoksi 4-methyl phenol, 4 ethyl-2 metoksil phenol, oxybanzene. Applying DUC during condensation phase may increase condensing force thereafter obtaining resulted products between 200% and 300% rather than using single unit condenser (SUC).

Research Limitations/Implications – This research was conducted on a fixed batch reactor made of a metal plate with a thickness of 3.0 mm. It carries 200 kg in capacity. In this phase, the moisture of candlenut shells might be kept in 10–12.5% wt. Process temperature applied ranged within 350–500 °C.

Originality/Value – In addition the study increased the theorical of understanding about pyrolisis process and Improving the production of liquid smoke from candlenut shell by pyrolisis process using the method of vapor condensation (Double unit condensor).

In this chapter, drone and vision camera technology have been combined for monitoring the crop product quality. Three vegetable crops such as tomato, cauliflower, and eggplant are considered for quality monitoring; hence, image datasets are collected for those vegetables only. The proposed method classified the vegetables into two classes as rotten and nonrotten products so the images were collected for rotten and nonrotten products. Three different features information such as chromatic features, contour features, and texture features have been extracted from the dataset and further used to train a Gaussian kernel support vector machine algorithm for identifying the product quality. The system utilized multiple features such as chromatic, contour, and texture features in classifier training which enhances the accuracy and robustness of the system. Chromatic features were utilized for detecting the crop while other features such as contour and texture features were utilized for further classifier building to identify the crop product quality. The performance of the system is evaluated based on the true positive rate, false discovery rate, positive predictive value, and accuracy. The proposed system identified good and bad products with a 97.9% of true positive rate, 2.43 % of false discovery rate, 97.73% positive predictive value, and 95.4% of accuracy. The achieved results concluded that the results are lucrative and the proposed system is efficient in agriculture product quality monitoring.

The purpose of this chapter is to explore the interaction between access-based consumption (ABC) and consumer culture in the specific context of baby products, and connect the two streams of consumer research and design theory, by associating ABC with product service systems (PSS) which are seen as desirable as they offer a promise of sustainability.

Within an action research approach consisting of the establishment of a pilot service provision, we conducted ethnographies including in-depth interviews and focus groups.

The adoption of access-based provisions is constrained by low compatibility with consumer culture. Consumers are concerned with the provision’s ability to satisfy their needs, what this mode of consumption says about them, and the extent to which it associates them with communities of practice.

The limitations are the typical ones of action research, which is linked to a unique, researcher-generated context where the researcher is also a participant, and therefore are difficult to generalize.

The large-scale implementation of PSS underpinning ABC is problematic as it challenges consumers’ needs for self-expression and affiliation; however, we found that consumers in this specific context are responsive to the environmental efficiency of PSS.

Our research explores the intersection between consumer research and design, and consumers’ response to sustainable business models which underpin ABC.

Novel approaches to tourism have been encouraged as a development strategy for the developing world, from governments and international organizations in the fulfillment of the United Nations Millennium Development Goals. The UNWTO has been playing an important role in this regard with the launch of programs like UNWTO.Volunteers. The literature reveals, however, that the majority of development programs still follow neoliberal approaches, despite a growing interest in applying knowledge and learning postrationalist approaches. Through a case study undertaken in 2008 focusing on UNWTO.Volunteers and its application in Chiapas, this chapter discusses how knowledge and learning approaches are being applied by UNWTO, arguing that it makes an attempt to follow some of the premises claimed by postrationalist theories.

Organizational competences are essential sources of competitive advantage and thus are key drivers of competitive strategies for knowledge-intensive companies like automotive manufacturers. In order to cope with increasing market complexity and dynamism, reduced development times, and relentless cost pressures in a highly competitive environment, knowledge-driven companies need to understand how to be proactive in building and leveraging the competences they will need to be successful in the future, especially within their product development activities.

To help managers become proactive in identifying and building useful future competences, the dynamic and systemic perspectives of competence-based strategic management provide a framework for analysis that can help managers to look beyond their organization’s current competences and identify organizational competences that will be needed in the future. Competence theory emphasizes that an organization’s competences are dynamic and constantly need to be updated and reconfigured to adjust to the competitive dynamics of an industry. Any methodology for identifying future competence needs must begin with some means for identifying strategic gaps between the competences a firm has now and the competences it will need in the future. This paper describes a technology and market roadmap-based methodology for forecasting a firm’s future competence needs – the competences a firm will need to start developing now in order to meet expected market demands in the future. The methodology proposed here is applied and, we believe, validated through application to a competence planning process in a German luxury car manufacturer.

Recent studies have questioned the direct relationship between entrepreneurial orientation (EO) and firm performance (e.g., Rauch, Wiklund, Lumpkin, & Frese, 2009; Wales, Gupta, & Mousa, 2013). Following this stream of research, this study examines this relationship by identifying the intermediate steps between these two variables (Alegre & Chiva, 2013; Wales, 2016; Zahra, Sapienza, & Davidsson, 2006). EO is considered essential for new market entry and new business foundation, which is why this study focuses on startups. Startups search for viable business opportunities, and this search is highly dependent on organizational learning (Kreiser, 2011). Previous studies suggest that organizational learning mediates the relationship between EO and performance (e.g., Real, Roldan, & Leal, 2014; Wang, 2008). This study investigates the role of organizational learning in this relationship by analyzing how EO and absorptive capacity (AC) interact. We propose a more direct and fine-grained measure of entrepreneurial success by developing a conceptual model that includes opportunity identification as an early outcome measure for startups. Drawing on a sample of 95 academic spin-offs in the Netherlands, this study examines the mediating role of AC and market readiness in the relationship between EO and market opportunities. The findings indicate that AC and market readiness mediate the direct effect of EO on market opportunity identification. By using opportunity identification as an outcome measure for EO, this study adopts a more direct measure for firm performance, resonating with recent discussions on the main effect of EO for organizations. These findings suggest that academic spin-offs’ AC leads entrepreneurial efforts to achieve a better product-market fit, and in return, helps to identify more market opportunities.

This study uses the social identity theory and relationship marketing theory to investigate customer satisfaction, commitment, trust and loyalty towards hospitality brands. Therefore, the author develops and empirically tests the relationships among these constructs. The methodology involved the use of structured equation models to investigate the hypothesised relationships. The results suggest that customer brand identification has a positive influence on loyalty, commitment, satisfaction and trust. The study also implies that commitment mediates the relationships between the three relational constructs (customer identification, trust and satisfaction) and brand loyalty.

This study attempts to demonstrate how a tourism attraction (i.e., museum) could establish its brand equity. It involves a case study on one of the most famous museums in Taiwan which involves an in-depth interview. The results show that the museum under investigation has established a clear brand identification and its brand communications but has a limited interpretation of its brand assets. Recommendations include strengthening its experiential propaganda, organizing large-scale intercity festivals, coordinating with other vendors to sell cultural products, increasing the number of professional exhibitions, and establishing a self-evaluation mechanism.

Entrepreneurial opportunity (EO) identification pertains to the core processes of entrepreneurship and innovation. The initial phase of this process starts with individual cognition, which is why cognition has been established as a critical theoretical perspective.

Knowledge and new information have been confirmed as essential cognitive impact factors. However, it is not understood well, how individuals apply those factors and how they actually identify innovative and economically viable EOs. To address the limitations of current research, this chapter investigates the current literature on underlying cognitive processes of opportunity identification.

The literature analysis demonstrates that there is not a single cognitive process but rather a magnitude of different micro-mechanisms that are necessary for the successful identification of EOs. The findings are grouped to four categories of cognitive processes and entail their micro-mechanisms: pattern recognition, information processing, and creative thinking. Furthermore, the analysis reveals that those micro-mechanisms have seldom been related to each other within the scope of opportunity identification. This chapter closes this gap by discussing and contrasting and the different process categories and respective micro-mechanisms and suggests an integrative theory development and avenues for future research.