1,721,016 research outputs found
"I wanna be sustainable, but I don't wanna show it!": The effect of sustainability cues on young adult consumers' preferences
No full textGiven the urgent need to address plastic pollution, fashion companies are implementing diverse strategies to reduce plastic in their production processes. To communicate their commitment to plastic waste reduction, companies have started including symbols on their products (i.e., sustainability cues). However, the effect of these symbols on consumer behaviour remains unclear. Thus, through a mixed method involving three focus groups and two online experiments, we investigate the effect of sustainability cues on consumers' preferences. Our findings show that including sustainability cues on a product is not always an effective business strategy. Hence, we expand the ongoing debate on the effects of environmental strategies, offering new insights into consumers' perceptions of sustainability cues and demonstrating the importance of perceived proximity and environmental concern in enhancing or reducing buying intentions towards sustainable products. For fashion companies, we reveal if and how sustainability cues can represent a competitive leverage prompting environmentally friendly purchases
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Data-driven decision support tool for production planning: a framework combining association rules and simulation
Full text linkNowadays, guaranteeing the highest product variety in the shortest delivery time represents one of the main challenges for most of industries. The dynamic contexts where they have to compete push them to quickly readapt their processes, increasing the need for reactive decision-support tools to identify targeted actions to improve performance. Starting from the analysis of existing decision-support tools separately adopting simula-tion or data mining techniques, a framework that combines Association Rule Mining (ARM) and simulation has been developed to capitalize on the benefits brought by both techniques. On the one hand, ARM supports companies in identifying the main criticalities that slow down production processes, such as different causes of stoppage, giving a priority ranking of interventions. On the other hand, data-driven simulation is used to validate the ARM results and to conduct scenario analyses to compare the KPIs values resulting from different configu-rations of the production processes. Once the best-impacting mitigating actions have been implemented, the proposed framework can be iteratively used to define an updated set of intervention areas to enhance, promoting continuous improvement. This data-driven approach represents the key value of the framework, guaranteeing its easy-to-readapt and iteratively application. Theoretical contributions refer to the use of simulation with ARM not only to validate relations but to perform scenario analyses in an iterative way, as well as to the novelty appli-cation in a low-tech sector. From a practical point of view, a case study in the fashion industry demonstrates the usability and reliability of the proposed framework
Supply Chain Strategy in the Luxury Fashion Industry
No full textThe purpose of this paper is to investigate what types of Supply Chain Strategies (SCS) are implemented within luxury fashion companies, according to the drivers that regulate competitiveness in this sector (brand positioning, distribution channel, type and line of product). The literature review is the first step performed. Thereafter, a case study research has been conducted in order to attain a comprehensive view of the real context of Italian luxury fashion companies regarding SCS. After the case study sample, composed of six companies, was selected, a questionnaire has been then developed to guide the interviews, after which the data was collected. From the data, a primary case analysis was conducted, from which cross-case patterns were also researched. The paper provides a characterization of the SCS in the luxury fashion industry. From the results obtained, it is possible to state that companies involved in the case study adopted different SCS within the same company according to the drivers that regulate competitiveness in this sector. As a result, the product line is shown to be the only driver that affected the alignment between the expected and implemented SCS, respectively. The carry over line of product is not aligned with the expected SCS. In contrast, the seasonal line is always aligned with the expected SCS regardless of the type of product
Data Mining and Augmented Reality: An Application to the Fashion Industry
No full textFeatured Application: The current paper proposes an approach to improve data analysis and visualization through Association Rule Mining and Augmented Reality. The applicability of the approach has been verified through a case study, providing Augmented Reality devices to expert and non-expert (or trainees) operators and letting them experience the adoption of the proposed technology in their daily quality management activities. The wider implementation of Industry 4.0 technologies in several sectors is increasing the amount of data regularly collected by companies. Those unstructured data need to be quickly elaborated to make on-time decisions, and the information extracted needs to be clearly visualized to speed up operations. This is strongly perceived in the quality field, where effective management of the trade-off between increasing quality controls to intercept product defects and decreasing them to reduce the delivery time represents a competitive challenge. A framework to improve data analysis and visualization in quality management is proposed, and its applicability is demonstrated with a case study in the fashion industry. A questionnaire assesses its on-field usability. The main findings refer to overcoming the lack in the literature of a decision support framework based on the joint application of association rules mining and augmented reality. The successful implementation in a real scenario has a twofold aim: on the one hand, sample sizes are strategically revised according to the supplier performance per product category and material; on the other hand, the daily quality controls are speeded up through accurate suggestions about the most occurrent defect and location per product characteristics, integrated with extra tips only for trainees
Environmental practices in the wine industry: an overview of the Italian market
No full textPurpose: The present research expands the debate on environmental sustainability in the wine industry. Since the literature on sustainability and wine is relatively recent, current results do not cover all the practices that can be implemented along the wine supply chain. Thus, the paper presents a classification of environmental practices specific for the wine industry, according to the increased attention that has been paid to this topic in recent years. Moreover, it investigates the adoption level of these practices with reference to Italian wine producers. Design/methodology/approach: The research presents a systematic literature review including papers published in academic journals during the past 30 years and in Italian specialised magazines. This methodology is useful to provide a clear overview of sustainable practices that can be adopted along the wine supply chain. Therefore, an empirical study based on the results of an online survey shows how wineries approach environmental sustainability. Findings: The literature review provides a definition and classification of environmental practices in the wine industry, as well as identification of those that require further attention in the literature, suggesting future research paths. The results of the online survey give an overview of the adoption level of environmental practices and highlight widespread attention to all the listed environmental practices, including those not adopted. Originality/value: From a theoretical point of view, this paper fills a literature gap in terms of the definition and classification of environmental practices that cover all wine supply chain processes, also providing a useful instrument for wine companies' managers. Moreover, the results of the empirical research give an overview of the adoption level of environmental practices in one of the most relevant countries in terms of wine production and highlight widespread attention to all the listed environmental practices, including those not adopted
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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