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1 – 10 of 66Achuthy Kottangal and Deepika Purohit
This study aims to analyze how conventional Bedouin weaving techniques have changed through the history of Israel, offering knowledge on the craft’s cultural relevance and…
Abstract
Purpose
This study aims to analyze how conventional Bedouin weaving techniques have changed through the history of Israel, offering knowledge on the craft’s cultural relevance and historical development among the Bedouin people and how their weaving and embroidery differ based on the three main geographic characteristics. It tries to comprehend the causes of the transition from organic to synthetic materials and the part played by the Lakiya Negev Bedouin Weaving women’s cooperative in maintaining this legacy.
Design/methodology/approach
The main goal of this study is to trace the emergence of Bedouin weaving traditions in the Negev Desert using a qualitative research methodology that combines historical analysis and ethnographic investigation. A thorough grasp of the subject’s significance is provided through the data gathering, which consists of interviews, archival research and field observations.
Findings
Through the years, Bedouin weaving techniques have significantly shifted away from using traditional organic materials in favor of synthetic replacements, according to the research. It emphasizes the crucial part played by the Lakiya Negev Bedouin Weaving women’s organization in safeguarding this traditional legacy and giving Bedouin women access to economic prospects.
Research limitations/implications
The limitation of the study includes its emphasis on the Negev region and the Israeli Bedouin community, which may not accurately reflect all Bedouin weaving techniques. Greater regional settings may be explored in future studies.
Practical implications
The investigation emphasizes the value of investing in initiatives for cultural preservation and the empowerment of underprivileged groups through economic possibilities.
Social implications
By preserving ancient weaving techniques, this research enables Bedouin women in the Negev Desert to maintain their cultural identity and socioeconomic well-being.
Originality/value
By emphasizing the socio-cultural dimensions and the organization’s role in preserving traditional craftsmanship in a changing socio-economic environment, this research presents a unique investigation of the evolution of Bedouin weaving techniques in Israel.
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Wei-Zhen Wang, Hong-Mei Xiao and Yuan Fang
Nowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing…
Abstract
Purpose
Nowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.
Design/methodology/approach
The proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.
Findings
The experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.
Originality/value
The proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.
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Shefali Srivastava and Bindu Singh
Known for its motto “All Ages, All Races, All Genders,” MAC cosmetics reflects the brand’s commitment to inclusivity and diversity. It has been at the forefront of promoting a…
Abstract
Purpose
Known for its motto “All Ages, All Races, All Genders,” MAC cosmetics reflects the brand’s commitment to inclusivity and diversity. It has been at the forefront of promoting a wide range of skin tones, ethnicities and gender identities in the beauty industry. If you have ever wondered about the secret behind the success of this mega-brand in the beauty industry, this case study aims to provide a comprehensive overview of the company’s history from its early days to the present and discusses the factors that might build or ruin a brand. Moreover, players in the industry will need to adapt to changing consumer preferences, focus on sustainability and leverage digital technologies to remain relevant and capture market opportunities. Therefore, would it be wise for MAC cosmetics to take forward their expansion plans in India, and what is the motivation behind the expansion? Alternatively, would the implementation of a proactive strategy for product innovation, combined with a stronger presence, result in a more viable and sustainable proposition?
Design/methodology/approach
This study relies on online resources for data collection. The data was collected from the secondary sources in the month of November and December 2022. Moreover, the information provided in the case study was validated and supplemented via using different websites, including the company’s website and social media profiles.
Findings
The commitment shown and the roles played will have a lasting impact on the society. Additionally, student will be able to learn when and how to seize opportunities, as well as how to manage obstacles that will arise in their entrepreneurial journey. Through this case study, they will be able to learn a variety of business strategies that can be implemented in emerging markets. The conclusion of the study provides the obstacles and hurdles faced by the industry in expanding in the Indian market. The potential solutions were made through providing information for the students, academicians, entrepreneurs and others to compete in the Indian market situation.
Originality/value
This is a real-world case that provides the audience with first-hand experience to comprehend the event and apply their knowledge to form a conclusion and is also effective for decision-making in the dynamic environment of the present day. However, the authors provide a comprehensive overview of the company’s history from its early days to the present and discuss the factors that might build or ruin a brand.
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Verdiana Giannetti, Jieke Chen and Xingjie Wei
Anecdotal evidence suggests that casting actors with similar facial features in a movie can pose challenges in foreign markets, hindering the audience's ability to recognize and…
Abstract
Purpose
Anecdotal evidence suggests that casting actors with similar facial features in a movie can pose challenges in foreign markets, hindering the audience's ability to recognize and remember characters. Extending developments in the literature on the cross-race effect, we hypothesize that facial similarity – the extent to which the actors starring in a movie share similar facial features – will reduce the country-level box-office performance of US movies in East and South-East Asia (ESEA) countries.
Design/methodology/approach
We assembled data from various secondary data sources on US non-animation movies (2012–2021) and their releases in ESEA countries. Combining the data resulted in a cross-section of 2,616 movie-country observations.
Findings
Actors' facial similarity in a US movie's cast reduces its box-office performance in ESEA countries. This effect is weakened as immigration in the country, internet penetration in the country and star power increase and strengthened as cast size increases.
Originality/value
This first study on the effects of cast's facial similarity on box-office performance represents a novel extension to the growing literature on the antecedents of movies' box-office performance by being at the intersection of the two literature streams on (1) the box-office effects of cast characteristics and (2) the antecedents, in general, of box-office performance in the ESEA region.
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Monica Puri Sikka, Alok Sarkar and Samridhi Garg
With the help of basic physics, the application of computer algorithms in the form of recent advances such as machine learning and neural networking in textile Industry has been…
Abstract
Purpose
With the help of basic physics, the application of computer algorithms in the form of recent advances such as machine learning and neural networking in textile Industry has been discussed in this review. Scientists have linked the underlying structural or chemical science of textile materials and discovered several strategies for completing some of the most time-consuming tasks with ease and precision. Since the 1980s, computer algorithms and machine learning have been used to aid the majority of the textile testing process. With the rise in demand for automation, deep learning, and neural networks, these two now handle the majority of testing and quality control operations in the form of image processing.
Design/methodology/approach
The state-of-the-art of artificial intelligence (AI) applications in the textile sector is reviewed in this paper. Based on several research problems and AI-based methods, the current literature is evaluated. The research issues are categorized into three categories based on the operation processes of the textile industry, including yarn manufacturing, fabric manufacture and coloration.
Findings
AI-assisted automation has improved not only machine efficiency but also overall industry operations. AI's fundamental concepts have been examined for real-world challenges. Several scientists conducted the majority of the case studies, and they confirmed that image analysis, backpropagation and neural networking may be specifically used as testing techniques in textile material testing. AI can be used to automate processes in various circumstances.
Originality/value
This research conducts a thorough analysis of artificial neural network applications in the textile sector.
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Gomaa Abdel-Maksoud, Aya Abdallah, Rana Youssef, Doha Elsayed, Nesreen Labib, Wael S. Mohamed and Medhat Ibrahim
This study aims to evaluate the efficiency of using some polymers at different concentrations in the consolidation of vegetable-tanned leather artifacts.
Abstract
Purpose
This study aims to evaluate the efficiency of using some polymers at different concentrations in the consolidation of vegetable-tanned leather artifacts.
Design/methodology/approach
New vegetable-tanned leather samples were prepared. The consolidants used were polyacrylamide (PAM) and polymethyl methacrylate/hydroxyethyl methacrylate (MMA-HEMA). Accelerated heat aging was applied to the untreated and treated samples. Analytical techniques used were Fourier transform infrared spectroscopy (FTIR), digital microscope, scanning electron microscope (SEM), change of color and mechanical properties.
Findings
The characteristic FTIR bands showed the effect of accelerated heat aging on the molecular structure of the studied samples, but treated and aged treated samples used were better than aged untreated samples. Microscopic investigations (digital and SEM), and mechanical properties proved that 2% was the best concentration for polymers used. The change in the total color difference of the treated and aged treated samples was limited.
Originality/value
This study presents the important results obtained from PAM and poly(MMA-HEMA) used for the consolidation of vegetable-tanned leather artifacts. The best results of the studied polymers can be applied directly to protect historical vegetable-tanned leathers.
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Larissa Becker and Eduardo Rech
Customer experience is increasingly recognized as a source of competitive advantage. Customer experience refers to customers' responses and reactions to cues within touchpoints…
Abstract
Customer experience is increasingly recognized as a source of competitive advantage. Customer experience refers to customers' responses and reactions to cues within touchpoints along customer journeys. Nowadays, customers often interact with online touchpoints – such as social media, websites, or e-commerce – in their customer journeys. Given that customer experience is multidimensional, this chapter addresses the following question: How can sensorial experiences be triggered in online touchpoints? Based on a review of the literature on customer experience and sensory marketing, four challenges in triggering sensorial experiences in online touchpoints are identified: (1) limited sensorial cues, (2) lack of thematic congruence between online and offline touchpoints, (3) sensory overload, and (4) lesser control over sensorial cues. Then, two routes through which organizations can trigger sensorial experiences in online touchpoints are proposed: (1) directly influencing sensations through sensory-enabling technologies, and (2) indirectly influencing sensorial perceptions through the use of sensory and nonsensory cues. The chapter closes with a presentation of a model that describes the process of triggering sensorial experiences in online touchpoints as well as a checklist of relevant questions for practitioners who wish to do so.
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Dag Yngve Dahle and Sivert Skålvoll Urstad
In the deregulated public sector upper secondary school field in Oslo, Norway, turnover among teachers is found to be high. The purpose is to examine whether instrumental…
Abstract
Purpose
In the deregulated public sector upper secondary school field in Oslo, Norway, turnover among teachers is found to be high. The purpose is to examine whether instrumental practices like control-oriented HRM, performance appraisal and heteronomy directly or indirectly lead to turnover intention, as a crucial pre-stage to turnover. Another purpose is to examine whether this varies with feedback format.
Design/methodology/approach
The present study is based on a survey (N = 1,055) carried out among upper secondary school teachers in Norway. Data were analyzed with path analysis, and mediation and moderation analyses were performed.
Findings
The study shows that control-oriented HRM, PA dissatisfaction and heteronomy are antecedents to turnover intention for teachers receiving feedback in three different feedback formats. The effect of control-oriented HRM and PA dissatisfaction on turnover intention was generally not stronger among numerically rated than among those rated otherwise. For most feedback format groups, leader–member exchange mediated between turnover intention and PA dissatisfaction and heteronomy, respectively, but not between turnover intention and control-oriented HRM. For teachers rated with text, figures or colors, LMX moderated between control-oriented HRM and turnover intention.
Research limitations/implications
The paper advances that introduction of instrumental practices will be seen as breaches of the psychological contract, but this does not apply to all feedback format groups, for example those receiving numerically rating. Limitations involve self-reported measures, direction of causality issues and a relatively low sample size for some groups.
Practical implications
Practitioners should note that both control-oriented HRM, performance appraisal and little autonomy may cause teachers to consider leaving their jobs. Practitioners should also be aware of the importance of the relationship between employee and leader, as negative responses to instrumentality may work through the leader–employee relationship, leading to turnover intention and, possibly, turnover.
Originality/value
The present study is among the first to examine whether and how antecedents to turnover intention vary with feedback format. A rare interaction between HRM and LMX is uncovered. Few other studies have analyzed the relationship between instrumental practices and turnover intention in light of psychological contract theory.
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Social media marketing has become a powerful strategic tool for many brands, but scholarly research in this domain is still in its infancy. This study aims to examine the effects…
Abstract
Purpose
Social media marketing has become a powerful strategic tool for many brands, but scholarly research in this domain is still in its infancy. This study aims to examine the effects of social media marketing activities on consumer online impulse buying intentions via brand resonance and emotional responses by incorporating the direct and moderating effects of social network proneness toward fashion retail brands.
Design/methodology/approach
By using snowball sampling, this study recruited 441 netizens (who were using fashion retail brands) and obtained their responses through an online survey. Structural equation modeling was applied to 394 responses for analysis.
Findings
The findings discovered that social media marketing activities significantly influenced brand resonance, consumer emotional responses and online impulse buying intentions. Likewise, brand resonance and emotional responses were positively associated with online impulse buying intentions and acted as decisive mediators. Social network proneness’s direct and moderating effects significantly increased consumer online impulse-buying intentions toward fashion retail brands.
Practical implications
This study provides recommendations to retail managers for creating and executing brand positioning, segmenting and targeting strategies to enhance consumers’ intentions for engaging in online impulsive purchases for fashion brands.
Originality/value
This original research contributes to the branding literature and stimulus–organism–response theory by focusing on social media marketing activities, brand resonance, emotional responses, social network proneness and consumer online impulse buying intentions toward fashion retail brands.
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Berihun Bizuneh and Tesfu Kifle
The main purpose of this paper is to identify, screen and prioritize customer requirements (CRs) for men’s denim jeans. Moreover, the effect of demographic factors on the primary…
Abstract
Purpose
The main purpose of this paper is to identify, screen and prioritize customer requirements (CRs) for men’s denim jeans. Moreover, the effect of demographic factors on the primary evaluation criteria has been examined.
Design/methodology/approach
The study was initiated by the growing complaints about denim jeans products of a local manufacturing company. First, 24 CRs were identified from the literature and customer complaints. Then, a survey was conducted to rate the identified CRs and solicit more CRs through closed-ended and open-ended questions, respectively. From the survey, 368 usable responses were collected while the participants were shopping in 14 local retail shops. After analyzing the data using factor analysis, univariate and multivariate analysis of variance (MANOVA), and content analysis, the resulting 15 criteria were prioritized by experts’ pairwise comparisons employing the fuzzy analytic hierarchy process (AHP).
Findings
Factor analysis extracted six components (primary criteria) including design cues, pocket design, comfort, size and fit, fashionability, and extrinsic cues from the CRs included in the closed-ended questions. MANOVA showed that age and frequency of purchasing denim jeans significantly affected the primary criteria, while educational level and frequency of wearing denim jeans did not. The weights from the fuzzy AHP revealed that colour fastness, price, durability, fabric weight, workmanship, side pocket design and fit as the most important CRs. Moreover, consumers preferred regular fit, stitched round side pockets, patch back pockets and stretchable denim fabric.
Research limitations/implications
The limitations of the study are discussed in the body of the paper in Section 7.
Originality/value
The paper presents exploratory findings on denim jeans evaluation criteria in a developing country’s context. Moreover, the application of fuzzy AHP for prioritizing denim jeans’ CRs is unique.
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