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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).

The physical internet (PI) is an emerging logistics and supply chain management (SCM) concept that draws on different technologies and areas of research, such as the Internet of Things (IoT) and key performance indicators, with the purpose of revolutionizing existing logistics and SCM practices. The growing literature on the PI and its noteworthy potential to be a disruptive innovation in the logistics industry call for a systematic literature review (SLR), which we conducted that defines the current state of the literature and outlines future research directions and approaches.

The SLR that was undertaken included journal publications, conference papers and proceedings, book excerpts, industry reports and white papers. We conducted descriptive, citation, thematic and methodological analyses to understand the evolution of PI literature.

Based on the literature review and analyses, we proposed a comprehensive framework that structures the PI domain and outlines future directions for logistics and SCM researchers.

Our research findings are limited by the relatively low number of journal publications, as the PI is a new field of inquiry that is composed primarily of conference papers and proceedings.

The proposed PI-based framework identifies seven PI themes, including the respective facilitators and barriers, which can inform researchers and practitioners on future potentially disruptive SC strategies.

This paper aims to examine the mediating role of brand satisfaction and brand trust in brand equity antecedents and outcomes through an empirical investigation of brand equity elements.

A survey was conducted in Pune and Mumbai, two prominent cities of India. A structured questionnaire focussed on garnering responses on measuring brand equity antecedents and outcomes was circulated to the cell phone users. The questionnaire aimed to assess the role of two additional variables, namely, brand satisfaction and brand trust, in the existing and the conceptual model of brand equity (Keller, 2001). Based on the data analysis, a structural equations path and the mediating model were developed.

The findings of this study show that the new brand equity model is highly relevant in predicting brand equity as compared to the existing brand equity model (Keller, 2001). The brand equity mediation model clearly elucidates the role of brand trust and brand satisfaction.

With reference to a theoretical contribution, the study broadens the existing hypothetical model of brand equity. The findings of this research provide a strategic and analytical model for brand managers to build brand relationships among their consumers.

The present study challenges the existing model of brand equity (Keller, 2001) and further makes an effort to fill in the gaps in the existing theoretical model of brand equity.

Este documento tiene como objetivo examinar el papel mediador de la satisfacción con la marca y la confianza con la marca en los antecedentes y resultados de la equidad de marca a través de una investigación empírica de los elementos de equidad de marca.

Se realizó una encuesta en Pune y Mumbai, dos ciudades prominentes de la India. Se distribuyó a los usuarios de teléfonos móviles un cuestionario estructurado centrado en obtener respuestas para medir los antecedentes y resultados del valor de marca. El objetivo del cuestionario era recoger información para evaluar el papel de dos variables adicionales, la satisfacción con la marca y la confianza en la marca en el modelo existente y conceptual del valor de marca (Keller, 2001). El análisis de datos se llevó a cabo a través de la metodología de ecuaciones estructurales y modelo de mediación.

Los hallazgos de este estudio muestran que el nuevo modelo de equidad de marca es muy relevante para predecir el valor de marca en comparación con el modelo de marca existente (Keller, 2001). El modelo de mediación de la equidad de marca aclara el rol de la confianza y la satisfacción con la marca.

En relación a la contribución teórica, el estudio amplía el modelo existente de valor de marca. Los resultados de esta investigación proporcionan un modelo estratégico y analítico para que los gerentes creen relaciones de marca entre sus consumidores.

El presente estudio desafía el modelo existente de equidad de marca (Keller, 2001) y además hace un esfuerzo por llenar los vacíos en el modelo teórico existente de equidad de marca.

Equidad de marca, Satisfacción con la marca, Confianza en la marca, Análisis de ecuaciones estructurales, Análisis de mediación

Artículo de investigación

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

Many organizations expect their service engineers, or frontline employees (FLEs), to behave as brand advocates by engaging in favorable communication about the brand and its offerings toward customers. However, this approach is not without risk as customers may be disappointed or even frustrated with brand advocacy behavior in many service encounters. The purpose of this paper is to study the impact of FLEs’ brand advocacy on customer satisfaction with the service encounter, and identify the conditions under which the effects are detrimental. This paper specifically considers service issue severity and product newness as contingency conditions.

Building on social identification theory, the paper builds a conceptual model, which is empirically tested using a data set that matches data from service engineers, customers, and archival records from the after-sales service department of a globally operating business-to-business print and document management solutions provider.

This paper finds that brand advocacy behavior harms customer satisfaction especially in service encounters that involve simple service issues (e.g. maintenance) for products that are new to the market. Fortunately, brand identification can compensate this negative effect under many service conditions. While the joint effect of brand identification and advocacy is most beneficial for severe service issues of new products, no effect on customer satisfaction was found for established products.

This paper identifies those service situations in which brand advocacy is advisable and guides managers toward achieving more favorable customer evaluations.

Past research has considered several FLE branding activities in the frontline but the effects of brand advocacy have not been isolated. In addition, most studies have assumed the effects of employee brand-related behaviors on customer satisfaction to be universally positive rather than negative and focused on antecedents and not on moderators and consequences.

Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although previous research has confirmed its importance for driving brand attitudes and loyalty, the role of consumer-brand identification as a social identity-based influence in this relationship has not yet been discussed. Drawing on construal level and social identity theories, this paper aims to investigate whether effective journeys and the resulting overall journey experience are equally powerful in driving brand loyalty among customers with different levels of consumer-brand identification.

The present article develops and tests a research model using data from the European and US service sectors (N = 1,454) to investigate how and when ECJD affects service brand loyalty.

Across two cultural contexts, four service industries and 33 service brands, the results reveal that ECJD is a crucial driver of service brand loyalty for customers with low consumer-brand identification. Moreover, the findings show that different aspects of journey effectiveness positively impact the valence of customers’ experience related to those journeys – a process that is ultimately decisive for their brand loyalty.

This study is unique because it generates theoretical and practical knowledge by combining the literature streams of customer journey design, customer experience and branding. Furthermore, this work demonstrates that consumer-brand identification is a critical boundary condition to be considered in the relationship between ECJD and brand loyalty in services.

On the basis of the social identity and congruity theories, the present research aims to propose that value congruity directly affects customer–brand identification (CBI), affective brand commitment and customer–brand engagement (CBE), which, in turn, paves the way for advancing consumer relationships with hospitality brands, as measured through brand loyalty. As such, this study serves to enhance existing insight into customer relationship management dynamics, with a particular focus on hospitality brands.

The present study develops a theoretical framework that is empirically investigated by using confirmatory factor analysis and structural equation modelling analyses. Data were collected by using a self-administered questionnaire of 340 customers of four- and five-star hotel brands in India.

The results suggest value congruity as an important driver of CBI, affective commitment and CBE within hospitality brands. The results also reveal CBI to act as a significant predictor of affective commitment, CBE and brand loyalty. Furthermore, affective commitment and CBE are the significant drivers of loyalty to hospitality brands.

The research is exploratory in nature and is restricted to four- and five-star hotel customers, thereby reflecting important limitations of this study. Given these issues, ample opportunities exist for further research to further explore and/or validate the reported findings.

The current research provides new insights for marketing practitioners planning or implementing long-term customer relationship management strategi3es that centre on customer–brand identification, customer–brand engagement and brand loyalty.

Despite existing insights, empirical investigation into the proposed conceptual relationships remains limited to date, particularly in the hospitality industry. By offering empirical evidence in this area, this study adds to the extant body of knowledge on CBI/CBE-centric customer relationship management.

Sobre la base de los planteamientos teóricos de las Teorías de la identidad social y de la congruencia, este trabajo propone que la congruencia de valores afecta directamente a la identificación del consumidor con la marca, al compromiso afectivo y vínculo emocional con la misma, lo cual clarifica la manera con la que construir relaciones de los consumidores con las marcas hoteleras, aproximado a través de la lealtad. Es por ello que este estudio sirve para poner en valor las dinámicas existentes actualmente en la gestión de las relaciones con los clientes con un particular énfasis en el mercado hotelero.

Este trabajo desarrolla un marco teórico que es empíricamente contrastado a través del análisis de ecuaciones estructurales. Los datos fueron recogidos a partir de cuestionarios auto-administrados a una muestra de 340 clientes de hoteles de 4 y 5 estrellas en la India.

Los resultados sugieren que la congruencia de valores es un importante factor explicativo de la identificación del consumidor con la marca, el compromiso afectivo y el vínculo emocional con las marcas de hoteles. También se demuestra que la identificación con la marca actúa como un significativo predictor del compromiso afectivo, el vínculo emocional y la lealtad a la marca. Adicionalmente, el compromiso afectivo y el vínculo emocional ejercen un efecto significativo en la lealtad con la marca.

Esta investigación tiene una naturaleza exploratoria y sus resultados se limitan al contexto de los hoteles de 4 y 5 estrellas. Sobre la base de los resultados obtenidos, se abre un amplio número de oportunidades para el desarrollo de futuras investigaciones que confirmen validez de los resultados obtenidos.

Los resultados obtenidos proporcionan interesantes líneas de actuación para que los directivos de marketing planifiquen e implementen sus estrategias de desarrollo de relaciones con los clientes en torno a la identificación con la marca, el vínculo emocional y la lealtad hacia la misma.

Las evidencias empíricas existentes hasta la fecha son bastantes limitadas hasta la fecha, en particular en la industria hotelera. En este sentido, el presente trabajo proporciona evidencias empíricas en este ámbito y enriquece la literatura existente sobre la gestión de las relaciones con los clientes bajo un enfoque de identificación y vínculo emocional con la marca.

The paper aims to raise awareness in the industry of design automation tools, especially in early design phases, by demonstrating along a case study the seamless integration of a prototypically implemented optimization, supporting design space exploration in the early design phase and an in operational use product configurator, supporting the drafting and detailing of the solution predominantly in the later design phase.

Based on the comparison of modeled as-is and to-be processes of ascent assembly designs with and without design automation tools, an automation roadmap is developed. Using qualitative and quantitative assessments, the potentials and benefits, as well as acceptance and usage aspects, are evaluated.

Engineers tend to consider design automation for routine tasks. Yet, prototypical implementations support the communication and identification of the potential for the early stages of the design process to explore solution spaces. In this context, choosing from and interactively working with automatically generated alternative solutions emerged as a particular focus. Translators, enabling automatic downstream propagation of changes and thus ensuring consistency as to change management were also evaluated to be of major value.

A systematic validation of design automation in design practice is presented. For generalization, more case studies are needed. Further, the derivation of appropriate metrics needs to be investigated to normalize validation of design automation in future research.

Integration of design automation in early design phases has great potential for reducing costs in the market launch. Prototypical implementations are an important ingredient for potential evaluation of actual usage and acceptance before implementing a live system.

There is a lack of systematic validation of design automation tools supporting early design phases. In this context, this work contributes a systematically validated industrial case study. Early design-phases-support technology transfer is important because of high leverage potential.

Several online services offer functionalities to access information from “big research graphs” (e.g. Google Scholar, OpenAIRE, Microsoft Academic Graph), which correlate scholarly/scientific communication entities such as publications, authors, datasets, organizations, projects, funders, etc. Depending on the target users, access can vary from search and browse content to the consumption of statistics for monitoring and provision of feedback. Such graphs are populated over time as aggregations of multiple sources and therefore suffer from major entity-duplication problems. Although deduplication of graphs is a known and actual problem, existing solutions are dedicated to specific scenarios, operate on flat collections, local topology-drive challenges and cannot therefore be re-used in other contexts.

This work presents GDup, an integrated, scalable, general-purpose system that can be customized to address deduplication over arbitrary large information graphs. The paper presents its high-level architecture, its implementation as a service used within the OpenAIRE infrastructure system and reports numbers of real-case experiments.

GDup provides the functionalities required to deliver a fully-fledged entity deduplication workflow over a generic input graph. The system offers out-of-the-box Ground Truth management, acquisition of feedback from data curators and algorithms for identifying and merging duplicates, to obtain an output disambiguated graph.

To our knowledge GDup is the only system in the literature that offers an integrated and general-purpose solution for the deduplication graphs, while targeting big data scalability issues. GDup is today one of the key modules of the OpenAIRE infrastructure production system, which monitors Open Science trends on behalf of the European Commission, National funders and institutions.

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

The authors conducted a literature review about the studies focusing on approaches combining OEE with monetary units and/or resource issues. The authors developed an approach based on Overall Equipment Cost Loss (OECL), introducing a component for the production resource consumption of a machine. A real case study about a smart multicenter three-spindle machine is used to test the applicability of the approach.

The paper proposes Resource Overall Equipment Cost Loss (ROECL), i.e. a new KPI expressed in monetary units that represents the total cost of losses (including production resource ones) caused by inefficiencies and deviations of the machine or equipment from its optimal operating status occurring over a specific time period. ROECL enables to quantify the variation of the product cost occurring when a machine or equipment changes its health status and to determine the actual product cost for a given production order. In the analysed case study, the most critical production orders showed an actual production cost about 60% higher than the minimal cost possible under the most efficient operating conditions.

The proposed approach may support both production and cost accounting managers during the identification of areas requiring attention and representing opportunities for improvement in terms of availability, performance, quality, and resource losses.