scholarly journals Evolution versus entrenchment: Debating the impact of digitization, democratization and diffusion in the global fashion industry

2018 ◽  
Vol 5 (2) ◽  
pp. 365-372 ◽  
Author(s):  
Taylor Brydges ◽  
Brian J. Hracs ◽  
Mariangela Lavanga
2017 ◽  
Vol 45 (10) ◽  
pp. 1607-1618 ◽  
Author(s):  
Seung Yun Lee ◽  
Sunho Jung ◽  
Sangdo Oh ◽  
Seong Hoon Park

We proposed that a moderator, others' similarity, would determine the impact of high participation rates of others on an individual's charitable behavior, and aimed to show that this moderator would work through the diffusion of responsibility motive. Participants (N = 152 undergraduate students) completed measures of charitable behavior and diffusion of responsibility, after being assigned to 1 of 2 conditions where a set percentage of other students (manipulated as either similar undergraduate students or dissimilar graduate students) were stated to have already donated to a charitable campaign (high contribution condition = 70% participation, low contribution condition = 30% participation). Our results showed that the high participation rate of others increased an individual's charitable behavior when the others in question were similar to that individual, but not when the others were dissimilar. In addition, the high rate of participation by others increased the diffusion of responsibility motive when the others in question were dissimilar to that individual, leading to a negative effect on that individual's charitable behavior.


Author(s):  
Stephen G. Wiedemann ◽  
Leo Biggs ◽  
Quan V. Nguyen ◽  
Simon J. Clarke ◽  
Kirsi Laitala ◽  
...  

Abstract Purpose Garment production and use generate substantial environmental impacts, and the care and use are key determinants of cradle-to-grave impacts. The present study investigated the potential to reduce environmental impacts by applying best practices for garment care combined with increased garment use. A wool sweater is used as an example because wool garments have particular attributes that favour reduced environmental impacts in the use phase. Methods A cradle-to-grave life cycle assessment (LCA) was used to compare six plausible best and worst-case practice scenarios for use and care of a wool sweater, relative to current practices. These focussed on options available to consumers to reduce impacts, including reduced washing frequency, use of more efficient washing machines, reduced use of machine clothing dryers, garment reuse by multiple users, and increasing number of garment wears before disposal. A sixth scenario combined all options. Worst practices took the worst plausible alternative for each option investigated. Impacts were reported per wear in Western Europe for climate change, fossil energy demand, water stress and freshwater consumption. Results and discussion Washing less frequently reduced impacts by between 4 and 20%, while using more efficient washing machines at capacity reduced impacts by 1 to 6%, depending on the impact category. Reduced use of machine dryer reduced impacts by < 5% across all indicators. Reusing garments by multiple users increased life span and reduced impacts by 25–28% across all indicators. Increasing wears from 109 to 400 per garment lifespan had the largest effect, decreasing impacts by 60% to 68% depending on the impact category. Best practice care, where garment use was maximised and care practices focussed on the minimum practical requirements, resulted in a ~ 75% reduction in impacts across all indicators. Unsurprisingly, worst-case scenarios increased impacts dramatically: using the garment once before disposal increased GHG impacts over 100 times. Conclusions Wool sweaters have potential for long life and low environmental impact in use, but there are substantial differences between the best, current and worst-case scenarios. Detailed information about garment care and lifespans is needed to understand and reduce environmental impacts. Opportunities exist for consumers to rapidly and dramatically reduce these impacts. The fashion industry can facilitate this through garment design and marketing that promotes and enables long wear life and minimal care.


2020 ◽  
pp. 36-39
Author(s):  
Andrea Dobrosavljević ◽  
Snežana Urošević

Business processes are present in all types of organizations, regardless of the size or industry within which the organization operates. Successful business process management (BPM) is an indicator of the level of process maturity of the organization. Within the supply chain, it is possible to observe the presence of business processes of a collaborative nature, as BPM relies on the principles of partnership, development, and exchange of information through links that exist within this chain between all actors [1]. Within this paper, BPM in the relations with suppliers and consumers within the supply chain of organizations operating in the fashion industry is considered. Lambert [2] lists eight macro processes that take place in the supply chain, between suppliers, manufacturers, distributors, retailers and end consumers, as follows: customer relationship management, supplier relationship management, demand management, order execution, fl ow management production, product development and commercialization and return management. Within this paper, a research is presented which analyzes the segments of managing collaborative business processes within the supply chain of the fashion industry, based on the responses of 508 managers and employees in the fashion industry in the Republic of Serbia. The needs for the development of certain segments in accordance with the needs of modern business process management have been explored.Scientifi c novelty. The research part of this paper relies on the application of Friedman's test which enables the analysis of the current state of BPM in relations with suppliers and consumers within the supply chain of the fashion industry, expressed through workers' responses with a ranking of their preferences. This paper contributes to the creation of a knowledge base within the research in the fi eld of the impact of BPM on improvements in the supply chain, on the basis of which it is possible to conduct further research and upgrade knowledge.Practical value. The fi ndings derived from the results of research of this type contribute to the development of the business from various aspects. The benefi ts can be refl ected not only through the strengthening of the competitive position but also through the sustainability of business on the basis of adequate application of BPM practices in all business segments. Accordingly, in addition to the scientifi c novelty, which is refl ected in the results of the rese arch work, there is a practical novelty, which is refl ected in the guidelines for the development of modern BPM within the supply chain of the fashion industry.


2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
E. Gaubas ◽  
T. Ceponis ◽  
V. Kalendra ◽  
J. Kusakovskij ◽  
A. Uleckas

Technique for barrier evaluation by measurements of current transients induced by linearly increasing voltage pulse based on analysis of barrier and diffusion capacitance changes is presented. The components of the barrier capacitance charging and generation/recombination currents are discussed. Different situations of the impact of deep center defects on barrier and diffusion capacitance changes are analyzed. Basics of the profiling of layered junction structures using the presented technique are discussed. Instrumentation for implementation of this technique and for investigations of the steady-state bias infra-red illumination and temperature dependent variations of the barrier capacitance charging and generation/recombination currents are described. Applications of this technique for the analysis of barrier quality in solar cells and particle detectors fabricated on silicon material are demonstrated.


Author(s):  
Aster Mekonnen ◽  
Liz Larner

While the luxury goods market has been slow to embrace and capitalise on the opportunities related to the digital era that has not been the case for their customers. Fashion luxury brands are no exception to this and some have been noted for their inability to keep up with the digital revolution. In the case of fashion luxury brands, whilst some argue that the offline-online integration has added value to the brands others suggest that it has eroded the panache associated with luxury brand. As luxury fashion brands play a significant role in shaping the fashion industry one cannot ignore the approach to digital integration and the impact it may have on the direction the fashion industry takes. As noted by Michael Porter (2001) whether one should integrate internet technology as part of their business plan is no longer questionable, but rather a matter of how it may be most effectively deployed. Based on case studies this chapter investigates how successful integration of the offline with the online environment can be achieved for such a dynamic industry.


2020 ◽  
Vol 24 (3) ◽  
pp. 361-380 ◽  
Author(s):  
Youssef Chetioui ◽  
Hikma Benlafqih ◽  
Hind Lebdaoui

PurposeThis study examines the impact of attitudes toward fashion influencers (FIs) on brand attitude and consumer purchase intention. It also aims to identify factors affecting consumers' attitudes toward FIs.Design/methodology/approachTo achieve this goal, the authors propose a conceptual model that combines the theory of planned behavior (TPB) and theoretical outcomes of prior literature related to influencer marketing. Based on data collected from 610 Moroccan respondents, the authors empirically test the conceptual model using a partial least squares (PLS) estimation.FindingsThis study illustrates that attitudes toward FIs positively impact brand attitude and consumer purchase intention. The authors also demonstrate that perceived credibility, trust, perceived behavioral control, perceived subjective norms, perceived expertise and perceived congruence positively impact attitudes toward FIs.Practical implicationsThe study findings help marketers and advertisers in the fashion industry to understand how influencer marketing contributes to consumer purchase intention. They also allow marketers to understand factors explaining attitudes toward FIs and therefore better select influencers capable of creating purchase intentions among existing and potential customers.Originality/valueThe present paper bridges a gap pertaining to antecedents and factors that impact attitudes toward FIs and consumer purchase intention. To the authors’ knowledge, this study is the first of its kind to investigate the impact of attitudes toward influencers on both brand attitude and purchase intention in the fashion industry.


Author(s):  
Risa A. Brooks

The protests that began in Tunisia in December 2010, and quickly spread across the Arab world, have drawn significant attention to the impact of militaries and coercive institutions on protests and revolutionary movements. The actions of the militaries were a central determinant of the outcomes of the uprisings of 2010–2011. In Tunisia and Egypt the decision by military leaders to abstain from using force on mass protests to suppress them led to the downfall of the countries’ autocrats. In Syria and Bahrain, militaries defended political leaders with brutal force. In Yemen and Libya, militaries fractured, with some units remaining allied to the leader and using force on his behalf and others defecting. In still other states, leaders and militaries were able to forestall the emergence of large, regime-threatening protests.To explain these divergent outcomes, scholars and analysts have looked to a variety of explanatory factors. These focus on the attributes of the militaries involved, their civil-military relations, the size and social composition of the protests, the nature of the regime’s institutions, and the impact of monarchical traditions. These explanations offer many useful insights, but several issues remain under-studied. These include the impact of authoritarian learning and diffusion on protest trajectory. They also include the endogeneity of the protests to the nature of a country’s civil-military relations (i.e., how preexisting patterns of civil-military relations affected the possibility that incipient demonstrations would escalate to mass protests). Scholars also have been understandably captivated by the aforementioned pattern of military defection-loyalty, focusing on explaining that observed difference at the expense of studying other dependent variables. The next generation of scholarship on the uprisings therefore would benefit from efforts to conceptualize and investigate different aspects of variation in military behavior.Overall, the first-generation literature has proved enormously useful and laid the foundation for a much richer understanding of military behavior and reactions to popular uprisings in the Arab world and beyond.


Minerals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1111
Author(s):  
Francis J. Sousa ◽  
Kenneth A. Farley

This paper presents a framework for evaluating variation in (U-Th)/He datasets. The framework is objective, repeatable, and based on compatibility of thermal histories derived from individual (U-Th)/He dates. The structure of this new method includes three fundamental steps. First, the allowable thermal history of each individual grain is quantitatively constrained with a model. Second, the thermal histories of all grains from a sample are visualized on the same axes. Third, the compatibility of the allowable thermal histories of each individual grain is evaluated. This allows a user to assess whether variation among single grain dates can plausibly be explained (referred to here as legitimate) or not (illegitimate). Additionally, this methodology allows for accurate representation of the impact that illegitimate variation has on the thermal history constraints of a sample. We demonstrate the application of this new framework using a variety of examples from the literature, as well as with synthetic data. Modeling presented here is executed using the modeling software QTQt (version 5.6.0) and the He diffusion kinetics based on the radiation damage accumulation and annealing model, but the framework is designed to be easily adaptable to any modeling software and diffusion parameters.


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