Clothing Sector Research Articles

Attitudes toward the design of Islamic mobile shopping apps in Turkey: the case of hijab clothing mobile apps from the perspective of conservative consumers

PurposeThis study aims to determine the attitudes of Turkish consumers toward Islamic mobile shopping apps and discuss whether these apps will need to be designed in accordance with Islamic rules in Muslim countries or not in the sample of Turkey.Design/methodology/approachA descriptive study was used. The data was collected online through a questionnaire form. The one-sample t-test and univariate analysis of variance were used to analyze the data obtained from 379 individuals.FindingsThe results show that Turkish customers have mostly positive attitudes toward Islamic mobile shopping apps and demand that the pictures, videos and advertisements used on mobile shopping apps be in concordance with Islamic rules. As a result of this study, consumers do not mind the colors or lean toward the use of models on Islamic mobile shopping apps. Furthermore, there are differences between gender with regard to using Islamic mobile shopping apps, showing that male consumers have a more positive attitude toward Islamic mobile shopping apps compared with female consumers.Research limitations/implicationsLike many previous empirical studies, this study has limited its context to capture a particular geographical area. Moreover, in this study, the data are obtained by judgmental sampling as a nonrandom sampling method. The contributions of the current study are restricted to Islamic mobile apps for the hijab clothing sector in Turkey.Practical implicationsThe results obtained can become a yardstick to measure consumer attitudes toward Islamic mobile apps’ attributes.Originality/valueThe primary benefit is to call the attention of mobile app designers to the design features of mobile shopping apps aimed at Muslim users. The second benefit is to determine the expectations of Muslim users regarding the design of Islamic mobile shopping apps, and eventually establish the fundamental Islamic design features needed to be available on new Islamic mobile shopping apps.

Deep learning based system for garment visual degradation prediction for longevity

Prolonging garment longevity is a well-recognized key strategy to reduce the overall environmental impact in the textile and clothing sector. In this context, change or degradation in esthetic or visual appeal of a garment with usage is an important factor that largely influence its longevity. Therefore, to engineer the garments for a required lifetime or prolong longevity, there is a need for predictive systems that can forecast the trajectory of visual degradation based on material/structural parameters or use conditions that can guide the practitioners for an optimal design. This paper develops a deep learning based predictive system for washing-induced visual change or degradation of selected garment areas. The study follows a systematic experimental design to generate and capture visual degradation in garment and equivalent fabric samples through 70 cycles in a controlled environment following guideline from relevant washing standards. Further, the generated data is utilized to train conditional Generative Adversarial Network-based deep learning model that learns the degradation pattern and links it to washing cycles and other seam properties. In addition, the predicted results are compared with experimental data using Frechet Inception Distance, to ascertain that the system prediction are visually similar to the experimental data and the prediction quality improves with training process.

THE POWER OF TURKEY IN TEXTILE EXPORT AND THE DIMENSION OF COMPETITION WITH CHINA

Purpose- The textile and ready-made clothing sector is the leading industry, which dates back to very old times and has a lot of competition. The textile industry, where the competitive environment is increasing day by day, has a key role in global trade, especially in developing countries, both in export potential, employment opportunities and economic development. Turkey has a very important position in the textile and ready-to-wear industry and has reached a competitive level with many countries. Turkey's textile and ready-to-wear industry has become a major competition with its development over time and the added value it provides economically. The purpose of the study is to determine the importance of textile and ready-made clothing exports within Turkey's total exports and the competition size with China. Methodology-For this purpose, Turkey's position in the textile and ready-made clothing sector and export potential were first evaluated. China, which then proved its success in the world trade, was briefly mentioned in the textile and ready-made clothing industry and examined the competition size between Turkey and Turkey.In the study, the trend analysis was used, and with the help of paintings, the export values in the textile and ready-made clothing sector of both countries, their changes over the years, the number of places in the world trade, and what size of competition they are from there. Findings- In the trend analysis, it was found to be the country that exports the most textiles and clothing in China, based on the findings from the tables.Turkey has also been one of China's biggest competitors, but has managed to enter the top 10 of the countries that export the most textiles and ready-made clothing each year.There is also an increase in the export volume of textile and ready-made clothing over the years. Conclusion- Based on the findings, we can say that China is a threat to all countries in the textile and clothing industry.Each year, he was the first in the industry to export the most textiles and ready-made clothing.However, in the developing country against China, which has a very large economy, Turkey has proven itself in this sector with its share of exports in the textile and clothing industry.Turkey has shown that there is a potential competitor in the industry, increasing its exports of textiles and clothing by year-on-year. Anahtar Kelimeler:Textile and ready clothing sector, export, Turkey-China competition, trend analyses. JEL Codes: F10, F19, L67

GİYİM SEKTÖRÜNDE DÖNGÜSEL EKONOMİNİN YÜRÜTÜCÜLERİNİN VE ENGELLERİNİN SWARA VE BWM METOTLARI İLE ANALİZİ

The circular economy is a sustainability model that reduces environmental impacts and enables products to be recycled effectively. In this respect, the clothing sector is one of the sectors that has the highest environmental impact in the circular economy system. In this study, drivers and challenges of circular economy in clothing sector were analyzed with SWARA and BWM methods. The results show that the SWARA and BWM methods are quite similar and can be used by decision makers. In both methods, " Cost savings from conservation in resources" as the driver of the circular economy and "lack of training and knowledge" as a challenge took the first row. This study shows the lack of awareness and legitimacy for the institutionalization of the circular economy approach in the clothing industry in Turkey, will be useful in other developing and transition economies and improve the functioning of vision is considered.

ANALISIS TINGKAT KEBANGKRUTAN PADA PERUSAHAAN RITEL SEKTOR SANDANG YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2018-2020

Running a business in the Retail sector in the Clothing Sector is very risky for bankruptcy, therefore it is necessary to use an analytical tool that 95% can produce accurate and reliable results such as the Altman Z-Score, in order to easily predict the level of bankruptcy in the company. This study examines retail companies in the clothing sector by taking 3 samples from the sector companies. This study aims to determine: the bankruptcy of PT. Matahari Department Store Tbk, PT. Mitra Adiperkasa Tbk and PT. Ramayana Lestari Sentosa Tbk as a Retail Company in the Clothing Sector Listed on the Indonesia Stock Exchange in 2018-2020. The hypothesis is accepted this is due to the phenomenon of the problem of the start of the shopping boom online and there is also a COVID-19 pandemic lockdown in 2020, and the fierce competition factor, the lack of employees or workers and increasingly sophisticated technological factors make businessmen in the retail sector of the clothing sector experience the potential for bankruptcy

TÜKETİCİLERİN SÜRDÜRÜLEBİLİR GİYSİ KULLANIMI İÇİN GİYSİ BAKIM ETİKETLERİNE YÖNELİK FARKINDALIĞI

Endüstri devriminden sonra ortaya çıkan hazır giyim sektörü ile birlikte insanlar giysiye kolayca ulaşma imkanı elde eder olmuştur. Teknolojinin ilerlemesi, yeterli hammaddenin ve iş gücünün artması daha fazla çeşitlilik, sonsuz seçim haklarının oluşması, değişiklik arayışı, yenilik gibi etkenler giyime yeni anlamlar yüklemiştir. İnsanlar giyimi artık sadece korunma ve örtünme amaçlı değil aynı zamanda kendilerini ifade etme biçimi olarak görmeye başlamıştır. Bu durumlar bir araya geldiğinde ise insanlığın sadece tüketimle ilgilendiği bir tablo karşımıza çıkmıştır. Bu yaklaşımla birlikte sürdürülebilirlik kavramı önem kazanmaya başlamıştır. Sürdürülebilirlik giysiyi uzun süre kullanma ya da dönüştürerek tekrar kullanma çabalarının bir bütünü olarak ele alınabilir. Sürdürülebilirliğin pek çok çeşidi bulunmaktadır. Bu çalışmada giysilerin sürdürülebilirliği ele alınmış olup giysi bakım etiketlerinin sürdürülebilirliğe katkısı konu alınmıştır. Araştırmanın amacı tüketicilerin giysi kullanımında, ne ölçüde bakım etiketlerine göre giysilerin bakımını gerçekleştirdiklerini, sürdürülebilirlik kavramı hakkındaki genel bilgi düzeylerini tespit ederek, bakım etiketlerinin giysi sürdürülebilirliğine katkılarını ortaya koymaktır. Araştırmanın evrenini Konya’daki devlet üniversitelerinde okuyan öğrenciler oluşturmaktadır. Örneklem olarak Konya Teknik Üniversitesi, Selçuk Üniversitesi ve Necmettin Erbakan Üniversitesinden; kolay örnekleme yoluyla toplam 350 öğrencinin katılımıyla gerçekleştirilmiştir. Bu çalışma nicel bir araştırma olup araştırmada literatür tarama yöntemi ve anket yöntemi ile veriler toplanmıştır. Bulgularda anketten elde edilen veriler SPSS programında frekans ve ki kare değerleri ile anlamlılık düzeylerine bakılmıştır.

Evaluation of Embroidery Defects and Solution Proposals in Clothing Sector

Nowadays, it has become more important to follow the latest developments concerning the clothing sector as staying up to date is likely to help us eliminate unnecessary expenditures and increase productivity. In order for companies to continue and expand their activities in ever-changing market conditions compared to their competitors, they need to make their own enterprises compatible with this emerging technology as much as possible by following the developing technology. In this study, the embroidery department of an exporting company was examined. More specifically, the embroidered products were carefully checked and faulty pieces were separated and classified according to the types of defects. The most critical defects were determined by means of Pareto analysis according to defect types and frequencies and an auxiliary apparatus was placed on the embroidery machine to prevent the defect in question. After the placement of the apparatus, the products were checked again. As a result of the calculations, the percentage of the defects in question decreased from 42.41% to 4.6%, and an improvement of 37.81% was achieved with the apparatus developed within the scope of this study.

Economical and Social Dimensions of Unionization in Turkish Textile and Clothing Sector

Abstract Textile and clothing sector possesses a significant place in Turkish manufacturing industry as well as in exports, investments, gross national product and employment; also maintains its locomotive sector position in development for a long time with its established production potential and labor force. However, there are serious issues about the unionization of workers in the sector. On one hand, this situation causes an increment in social and economical issues of workers and enterprises and on the other hand, it damages democracy within the enterprise. In this context, this study aims to suggest tangible solutions by revealing the economical and social differences between unionization and non-unionization in the sector. Besides, the study differs from other studies and contributes to the literature due to its two-sided research structure (workers and employers) and analysis of unionization in textile and clothing sector in terms of economical and social aspects. In accordance with the aim of the research, two separate surveys are conducted for textile and clothing enterprises, which operate throughout Turkey, and for unionized and non-unionized blue-collar workers of these enterprises. The obtained data are analyzed by using descriptive statistics, exploratory factor analysis, and independent samples t-test. As stated by the research results, the perspectives of unionized and non-unionized participants differ with regard to positive and negative aspects (both economical and social aspects) of being a union member.

Maturity model toll to diagnose Industry 4.0 in the clothing industry

PurposeThe purpose of this paper is to present a diagnostic instrument of the maturity of Industry 4.0 technologies adapted to the textile and clothing sector and constructed based on the technological references that support this industrial evolution process.Design/methodology/approachThe proposed methodology began with the systematic literature review using the SciMAT software and then a questionnaire was developed with 49 questions divided into 5 categories – demography, technologies, strategy, digital skills and benefits of the deployment.FindingsThe application in 19 different sectors and 72 people in a textile industry showed this sector is still traditional. The diagnosis results pointed that the level of implementation of Industry 4.0 is considered the first level, later advancing in this order to levels of connectivity, visibility, predictability and adaptability of the processes.Research limitations/implicationsOnly in one company was applied the developed instrument, in this case study, a factory that makes children's and adult clothing items located in Santa Catarina, Brazil.Practical implicationsThrough the use of this assessment instrument, it is possible to perform an internal benchmarking at the company detecting the strong and weak points, as well as involve a multidisciplinary collaborator team.Social implicationsThe comparisons and improvements may be carried out per dimension or sector, which motivates the constant application and assessment of improvements. The instrument to diagnose the maturity of Industry 4.0 technologies in the textile and clothing sector is considered an effective tool for application in a single company or to have its use expanded in a new piece of research to the entire industrial textile segment.Originality/valueThe developed diagnostic tool may be used for both the internal assessment of the company and its placement relative to its competitors, involving several companies from the same sector. It is possible to know about what level of Industry 4.0 maturity the company is and after benchmarking by others and improve.

PERANAN SEKTOR INDUSTRI TEKSTIL DAN PRODUK TEKSTIL (TPT)TERHADAP PEREKONOMIANINDONESIA: ANALISIS INPUT-OUTPUT

This study aims to determine how well the number of direct and indirect linkages, index of power deployment and index of the degree of sensitivity as well as the multiplier output, income, and labor sectors of textiles and textile products within the scope of the Indonesian economy in 2005. To get the purpose of the study analysis, this research is done by analyzing the data on Indonesian Input-Output Table 175 sectors in 2005. Analyzed data from the Input-Output Table is a data transaction on the basis of domestic producer prices. These sectors are aggregated into 68 sectors. This is done to see the impact of deployment and linkage textiles and textile products to other sectors of the economy. In the analysis of data, fiber and yarn spinning industry has backward linkages value is smaller than the linkages in the future. Textile industry (fabric), the apparel industry (garment), and the other has a value of industrial textiles backward linkages greater than the relationship in the future. In the analysis of the spread of the power index, industrial fiber and yarn spinning, textile (cloth), industry apparel (garment), and the textile industry was able to increase the upstream sector growth or increase the output of other sectors that are used as inputs by industry sector itself because it has the power dispersion index value greater than one. Power dispersion index greater than one means that the sector is able to enhance the growth of the upstream sector. Analysis of the degree of sensitivity index, industrial textile (cloth), the apparel industry and textile industry can’t afford to encourage the production of the downstream sector which uses the input from the industrial sector as it has a degree of sensitivity index values ​​less than one. In the multiplier analysis, for the analysis of output multipliers, the apparel industry has the largest output multiplier of the other sub-sectors is equal to 2.4647. For household income multiplier, fiber and spinning sector has multiplier largest household income from other sub-sectors is equal to 0.1644. In the employment multiplier, fiber and spinning sector had the largest employment multiplier of other sub-sectors is equal to 0.0214. From the analysis of the data, it can be concluded that the textile and clothing sector is the sector that Indonesia was in a position downstream of where the sector is a sector that produces an output that is directly consumed by final consumers. If the Government can properly optimize the sector, then the sector of textiles and textile products may act as a puller outputs of upstream sectors

Female Consumers’ Clothing-related Attribute Expectations Differ According to Their Gender Identities

It is necessary to determine the factors that affect consumers’ preferences in the ready-made clothing sector, where competition is intense. Gender is accepted as one of the most fundamental factors affecting purchas­ing decisions not only in the ready-made clothing industry, but also in many other sectors. However, rapidly changing environmental conditions require going beyond traditional patterns in explaining consumption be­haviors. Accordingly, the concept of gender, which is socially constructed, has also been conceptualized from a psychological point of view. In this study, the concept of gender was based on psychological foundations and it was investigated whether female consumers’ clothing-related attribute expectations differ according to their gender identities. Questionnaires created in line with the purpose of the study were applied to 393 people who were selected by convenience sampling. The data were collected through a face-to-face survey. Research hypotheses were tested with ANOVA analysis. As a result of the research, it was found that female consumers’ clothing-related attribute expectations differ according to gender identities. In the literature, no study has been found that examines the changes in the clothing-related expectations of female consumers according to their gender identity roles. In this context, it is expected that the study will make significant contributions to both the managers in the clothing sector and academics.

Effects of Covid-19 Pandemic on Supply Chain Management in the Clothing Sector and Possible Solutions

Abstract The clothing sector is one which possesses significance in global trade. The sector has been negatively affected by the pandemic due to its labor-intensive structure and possession of a relatively long and global supply chain. At this point, the Turkish clothing sector, which is the sixth biggest clothing supplier in the world, the third biggest clothing supplier in the European Union, and comprised 10% of Turkey’s general exports in 2019, should be investigated. In this context, this research aims to determine the effects of the COVID-19 pandemic on supply chain management in the Turkish clothing sector. Also, it aims to specify possible solutions against the negative effects of the COVID-19 pandemic. In accordance with the aim of the research, a survey was conducted in clothing enterprises. 391 survey questionnaires were incorporated into the research. According to the research results, it is determined that supply chain management in the Turkish clothing sector has been negatively affected by the COVID-19 pandemic. Order disruptions and cessations have ruined employment, production, procurement and investment processes resulting in financial disruptions. The most significant possible precautions that can be taken by enterprises that can be indicated as follows: benefiting from government support, heading towards online trade and an omni-channel strategy, actualising necessary alterations in product ranges, giving essential importance to innovation, efficient use of occupational health and safety systems, shortening the supply chain as far as possible, integrating digitalisation into all processes of the supply chain, and increasing the efficiency of marketing activities.

Analysis of the relationship between water and energy in China based on a multi-regional input-output method

The shortage of water and energy are hindering the rapid development of the regional economy in recent years. Therefore, exploring the synergy of water and energy and managing the two resources comprehensively is conducive to the sustainable development of the economy. Based on the multi-regional input-output (MRIO) model, this study proposed a new assessment framework for investigating the water-energy (WE) relationship. We used this novel framework to identify the relationships in different sectors. The achieved results are as follows. First, water and energy are closely related in many sectors, including agriculture, extractive sector, petroleum, coking, and nuclear fuel processing sector, and other sectors. However, the construction sector, textile and clothing sector, and wood processing and furniture manufacturing sector showed low correlation (p > 0.05). Second, on the whole, the WE relationship has been improving. Among the eight regions, the relationship varies greatly, and the Southern coastal region has the best relationship (r = 0.78). Third, the spatial distribution of water and energy footprints shows high agreement. Although the virtual water and energy flows alleviated the energy pressure in Coastal areas, it has aggravated the water and energy shortages in Central areas. Therefore, identification of key sectors and construction of suitable policies may help alleviate the contradiction between water and energy shortages and drive regional economic development.

PENGARUH CITRA MEREK, KUALITAS PRODUK, DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN PADA THRIFT SHOP

The acceleration of the delivery of information both visually and text is a driving factor for the development of the fashion industry in Indonesia. Used clothes are no longer underestimated by the people of Indonesia. Not only ordinary people who do thrifting, but influencers in the clothing sector also choose this method. The objective of this research is to identify the effect of brand image, product quality, and price on customer’s decision to purchase from thrift shop. As the analysis uses numeral data and statistical processes, this study is categorized as quantitative research. Utilizing non-probability method and saturated sampling technique with the criteria of people who have ever made any purchase in Locaswara, 75 people were selected as the sample. The results of the data analysis performed in SPSS 25 indicate that brand image, product quality, and price partially have positive and significant effects on purchase decision. Furthermore, the result of the coefficient of regression suggests that product quality has the strongest influence on purchase decisions in Locaswara.

Design a sustainable supply chain for the textile and clothing industry with consideration of carbon emissions

The clothing industry accounts for nearly 60% of the global textile industry. It is largely responsible for the consumption of non-renewable resources. According to studies, it is responsible for nearly 10% of greenhouse gas emissions in the world (Cuc and Vidovic (2014)). The aim of this article is to propose a planning approach that integrates two decision levels (strategic and tactical), using a new mixed integer linear programming model (MILP) that integrates carbon emissions in SCMP (Supply Chain Management Planning). This approach must be used in a general way in all SCMP industries for the control of carbon flows and resources. It could be used as a decision support tool to evaluate and monitor the effects of carbon emissions. This tool offer to the industrials the best choices at different stages (selection of suppliers, plants, transportation modes, storage etc.), with lower cost and carbon emissions. For this purpose, the approach is tested on several scenarios, based on severals literature case studies in the textile and clothing sectors. The results show that carbon price uncertainty would significantly influence the economic and environmental management of the supply chain, and the repartition of the manufacturing activity (insource or outsource). Over a range of carbon price scenarios, the results show a reduction over to 36% in carbon emissions in the supply chain.

A Comparative Study on Physical and Comfort Properties of Yarns and Hand-woven Fabrics Produced from Virgin and Recycled Fibers

Products produced from textile industries cannot meet the needs for human kind since the population of the world grows exponentially; due to this the recycling of textile materials has gained massive importance in textile and clothing sector. In this study, it was aimed to analyse recycled fibers effect on the yarn and hand loom fabrics as their proportion increases. For this purpose, OE rotor yarns produced by varying the recycled fibers proportion at 25%, 50, and 75% and compared with 100% virgin cotton yarns. The physical and mechanical properties of the yarns such as unevenness, imperfections, hairiness, breaking force, elongation, were measured by Uster Tester 4 SX, Uster Zweigle Hairiness Tester 5, and Uster Tensorapid 3. Then after hand loom fabrics with plain and twill fabrics are produced from produced yarns of different recycled fiber proportions. The effects of recycled fiber proportion on produced hand-woven fabric properties such as pilling, abrasion resistance and air permeability were also evaluated. Results showed that yarns and fabrics produced from recycled fibers blended with virgin cotton are suitable for applications where the strength of yarns and fabric are less critical, but where unevenness, imperfections and handle properties required thus, hand loom fabrics Produced can suitably used for home furnishing applications like table cover, curtains, wall covers and pillow cases.

Aplikasi Pengelolaan Persediaan Bahan Pada Usaha Kecil Menengah Pakaian Jadi

Clothing is one of the basic or primary needs. With the influence of clothing fashion that continues to grow, many Small and Medium Enterprises (SMEs) have sprung up engaged in the clothing sector. SMEs are one of the driving forces of the Indonesian economy. SMEs engaged in the clothing sector are businesses that produce apparel. The materials used in the manufacture of clothing also vary, so that inventory management and material requirements planning are essential processes in the manufacture of clothing. In this study, a simple mobile application was developed that can be used for material inventory management for SMEs. The primary function of this application is to record materials (inventory) and plan production needs using the Reorder Point (ROP) method. The Reorder Point (ROP) method is an order limit point helpful in knowing when a company holds an order. Program development using Android Studio IDE with Flutter framework and Dart programminglanguage. The results of functional testing on this application are 90% achieved following the expected results. The user acceptance test concludes that this application has the potential to facilitate SMEs in managing the inventory of material.

Selection of markets for textile export using the adequate portfolio

Textiles is one of the largest industries in the world, creating significant volumes of trade, export, and jobs. In the European Union, this industry is essential and attempts to retain and increase competitiveness. Most of the textile and clothing sector production is exported; thus, adequate orientation to export markets is essential. The paper’s objective is to determine the countries suitable for exporting the textile production of Lithuania and similar countries using the adequate portfolio model. The adequate portfolio treats the export possibilities according to three parameters: return, reliability, and risk. Clothing annual average index data across countries obtained from the Eurostat database were used for calculations. After performing the research, three portfolio cases were proposed, and the most profitable export countries and their given return were determined. Research results can be applied to the whole country and for individual textile exporting enterprises.

The Standardization Transformation of Industry Oriented Batik to Accelerate Competitiveness 4.0 and National Independence in Clothing Sector during New Normal

COVID-9 pandemic has occurred around the world including Indonesia. All Indonesian people fought COVID-19 with a lockdown. It was a regional quarantine policy by means of Large-Scale Social Restrictions and Enforcement of Restrictions on Community Activities. This limitation due to the COVID-19 pandemic causes the slowdown of economy of Indonesia and other countries around the world. This economic slowdown is comprehensive in all fields, including the batik business sector. At present, the Indonesian government is trying to implement a new normal policy. Thus, the economic impact caused by the pandemic does not cause a prolonged crisis. This research aimed to find a business strategy in the transformation of industry-oriented batik standardization to accelerate competitiveness 4.0 and national independence in the new-normal period of clothing sector. The method used to overcome the above problems was descriptive qualitative method. Data was collected through literature review, in-depth observation, and direct practice. Research results: business strategies that could be carried out in the transformation of batik standardization in welcoming the new normal era were: 1. Creating innovation 2. Development/recognition of existing products such as printing batik, jumputan batik or tie dye batik, and Eco print batik 3. Creating a new economic market by implementing the Blue Ocean strategy. 4 Paying attention to opportunities during the new normal 5. Developing a strategic marketing plan 6. Maintaining good communication with customers by utilizing social media, and 6. Promotion and marketing on line. This research is expected to be useful for readers, researchers, and the batik industry in responding to the new normal conditions after 1 (one) year of being hit by the COVID-19 pandemic. 

The Future of Coaching: A Conceptual Framework for the Coaching Sector From Personal Craft to Scientific Process and the Implications for Practice and Research.

This conceptual paper explores the development of coaching, as an expression of applied positive psychology. It argues that coaching is a positive psychology dialogue which has probably existed since the emergence of sophisticated forms of language, but only in the past few 1000years, has evidence emerged of its use as a deliberate practice to enhance learning. In the past 50years, this dialectic tool has been professionalised, through the emergence of professional bodies, and the introduction of formal training and certification. In considering the development of the coaching industry, we have used Rostow’s model of sector development to reflect on future possible pathways and the changes in the coaching industry with the clothing sector, to understand possible futures. We have offered a five-stage model to conceptualise this pathway of development. Using this insight, we have further reviewed past research and predicted future pathways for coaching research, based on a new ten-phase model of coaching research.