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1 – 10 of 259Lucas B. Nhelekwa, Joshua Z. Mollel and Ismail W.R. Taifa
Industry 4.0 has an inimitable potential to create competitive advantages for the apparel industry by enhancing productivity, production, profitability, efficiency and…
Abstract
Purpose
Industry 4.0 has an inimitable potential to create competitive advantages for the apparel industry by enhancing productivity, production, profitability, efficiency and effectiveness. This study, thus, aims to assess the digitalisation level of the Tanzanian apparel industry through the Industry 4.0 perspectives.
Design/methodology/approach
A mixed-methods-based approach was deployed. This study deployed semi-structured interviews, document review and observation methods for the qualitative approach. For the quantitative approach, closed-ended questionnaires were used to ascertain the digitalisation levels and maturity level of the textiles and apparel (T&A) factories and small and medium-sized textile enterprises in Tanzania. The sample size was 110, with participants engaged through the purposive sampling technique.
Findings
Industry 4.0 frameworks evolved into practices mainly since 2011 in several service and manufacturing industries globally. For Tanzania, the findings indicate that the overall maturity level of the T&A industries is 2.5 out of 5.0, demonstrating a medium level of adoption. Thus, the apparel industries are not operating under the industry 4.0 framework; they are operating within the third industrial revolution – Industry 3.0 – framework. For such industries to operate within the fourth industrial revolution – Industry 4.0 – that is only possible if there is significantly well-developed industrial infrastructure, availability of engineering talent, stable commercial partnerships, demand from the marketplace and transactional relationship with customers.
Research limitations/implications
This study’s limitations include: firstly, Industry 4.0 is an emerging area; this resulted in limited theoretical underpinnings in the Tanzanian perspectives. Secondly, the studied industries may not suffice the need to generalise the findings for the entire country, thus needing another study.
Originality/value
Although Industry 4.0 conceptual frameworks have been on trial in several industries since 2011, this is amongst the first empirical research on Industry 4.0 in the Tanzanian apparel industry that assesses the digitalisation levels.
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Mon Thu Myin and Kittichai Watchravesringkan
Driven by Davis’s (1989) technology acceptance model (TAM) and Westaby’s (2005) behavioral reasoning theory (BRT), the purpose of this study is to develop and test a conceptual…
Abstract
Purpose
Driven by Davis’s (1989) technology acceptance model (TAM) and Westaby’s (2005) behavioral reasoning theory (BRT), the purpose of this study is to develop and test a conceptual model and examine consumers’ acceptance of artificial intelligence (AI) chatbots for apparel shopping.
Design/methodology/approach
Data from 353 eligible US respondents was collected through a self-administered questionnaire distributed on Amazon Mechanical Turk, an online panel. Confirmatory factor analysis and path analysis were used to test all hypothesized relationships using the structural equation model.
Findings
The results show that optimism and relative advantage of “reasons for” dimensions have a positive and significant influence on perceived ease of use (PEU), while innovativeness and relative advantage have a positive and significant influence on perceived usefulness (PUF). Discomfort and insecurity have no significant impact on PEU and PUF. However, complexity has a negative and significant impact on PEU but not on PUF. Additionally, PEU has a positive influence on PUF. Both PEU and PUF have a positive and significant influence on consumers’ attitudes toward using AI chatbots, which, in turn, affects the intention to use AI chatbots for apparel shopping. Overall, this study identifies that optimism, innovativeness and relative advantage are enablers and good reasons to adopt AI chatbots. Complexity is a prohibitor, making it the only reason against adopting AI chatbots for apparel shopping.
Originality/value
This study contributes to the literature by integrating TAM and BRT to develop a research model to understand what “reasons for” and “reasons against” factors are enablers or prohibitors that significantly impact consumers’ attitude and intention to use AI chatbots for apparel shopping through PEU and PUF.
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Bianca Maria van Niekerk, Mornay Roberts-Lombard and Nicole Cunningham
This study aims to explore the impact of store atmospherics on urban bottom-of-the-pyramid consumers’ behavioural intentions to purchase apparel in an emerging African market…
Abstract
Purpose
This study aims to explore the impact of store atmospherics on urban bottom-of-the-pyramid consumers’ behavioural intentions to purchase apparel in an emerging African market context. This study also considers purchase antecedents to attitude, perceived behavioural control and social norms as determinants of urban bottom-of-the-pyramid consumers’ apparel behavioural intentions.
Design/methodology/approach
Using non-probability sampling, specifically purposive and interlocking sampling, data collection was secured from 881 economically active Namibian urban bottom-of-the-pyramid respondents through interviewer-administered questionnaires. Covariance-based structural equation modelling assessed the significant relationships among all constructs in the conceptual model.
Findings
This study found that for favourable apparel behavioural intentions of urban bottom-of-the-pyramid consumers to occur, apparel retailers should emphasise trust, perceived awareness and self-identity through apparel assortment and groupings, easy-to-read visible signage, together with competent, friendly and respectful sales personnel in their store atmospherics.
Practical implications
The findings of this study may guide apparel retailers in other emerging African markets to develop regional integration, market-based solutions and inclusive economic growth focusing on “non-essential” products, such as apparel, among urban bottom-of-the-pyramid consumers.
Originality/value
This study expands the intellectual boundaries of urban bottom-of-the-pyramid consumers’ behavioural intentions towards “non-essential” products. The theoretical framework supports the integration of both the stimulus-organism-response model and the theory of planned behaviour into one single model for empirical investigation. Additionally, adopting a novel theoretical framework helped identify the impact of store atmospherics from a bottom-of-the-pyramid perspective in an emerging African market context, such as Namibia.
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Based on Kansei Engineering, this study obtained consumers' emotional preferences aiming to enhance the emotional connection between consumers and clothing to extend the service…
Abstract
Purpose
Based on Kansei Engineering, this study obtained consumers' emotional preferences aiming to enhance the emotional connection between consumers and clothing to extend the service life of clothing and realize sustainable clothing design.
Design/methodology/approach
Six Kansei word pairs that are the most important to consumers were identified through literature reviews, magazines, websites, card sorting of consumers and cluster analysis. Finally, the consumers scored the 32 product specimens through a 5-level rating semantic differential scale questionnaire of six Kansei word pairs. The researchers verified the consumers' emotional preferences through principal component analysis and established the relationship between Kansei words and design elements of color through partial least squares.
Findings
The study found consumers' emotional preferences: elegant, minimalist, formal, casual, mature, practical and distinctive style. Besides white, black, gray, blue, consumers will also like red and yellow-red in the future. The crucial findings of this study are to get recommended guidelines that consumers' emotional preferences match the corresponding design elements.
Originality/value
The study's findings can be used to style the design of men's plain-color shirts and guide online marketers and designers to design apparel that meets consumers' emotional needs to develop consumers' sustainability reliance on clothing. This study also explains the overall process and methodology for integrating consumer preferences and product design elements.
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Hod Anyigba, Alexander Preko and William Kwesi Senayah
This study is to examine and develop sector skills strategies and action plans for the textile and apparel (T&A) sector.
Abstract
Purpose
This study is to examine and develop sector skills strategies and action plans for the textile and apparel (T&A) sector.
Design/methodology/approach
The paper used a participatory action qualitative method anchored on the Skills for Trade and Economic Diversification (STED) framework, utilising the workshop-based approach with 24 key stakeholders of the sector. Content analysis was used with the help of Nvivo software.
Findings
The findings revealed that there are skills shortages, skills gaps, skills mismatches and skills diversification programmes available through higher education and work-based learning. Further, there are labour supply challenges such as national skills policy and strategy, government and stakeholder coordination, funding, relevance of curriculum and qualifications, access to practicals and the absence of a clear national vision for the sector.
Research limitations/implications
This study possesses an inherent limitation in terms of generalising the findings derived from qualitative research.
Originality/value
This research is among the first of its kind to assess skills needs and gaps through the lens of STED framework, which has been overlooked in previous literature. Importantly, this study provides vocational insights into skill needs in the sector.
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Zebran Khan, Ariba Khan, Mohammed Kamalun Nabi and Zeba Khanam
The purpose of this study is to examine an integrated model, in which brand equity (BE) mediates the effects of social media usage (SMU) and electronic word of mouth (eWOM) on…
Abstract
Purpose
The purpose of this study is to examine an integrated model, in which brand equity (BE) mediates the effects of social media usage (SMU) and electronic word of mouth (eWOM) on purchase intentions among Indian consumers of branded apparel.
Design/methodology/approach
An online questionnaire was used to collect data from 317 Indian customers of branded apparel, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4.
Findings
First, the results indicated that SMU, eWOM and BE significantly impact consumers purchase intention; at the same time, BE is influenced by SMU and eWOM. Second, results confirmed that BE partially mediates the effects of SMU and eWOM on the purchase intentions of consumers of apparel brands.
Research limitations/implications
The study's dataset is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketers and advertisers create customized advertising campaigns for the people who are most likely to buy their products. Marketers can also use social media to promote the uniqueness or point of difference (PoD) of their apparel brands.
Originality/value
To the best of the authors' knowledge, no study has been conducted on apparel brands in the Indian context that has tested an integrative model, in which BE mediates the effects of SMU and eWOM on the purchase intentions of customers of apparel brands.
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This study aims to investigate the relationship between people’s socially and environmentally responsible apparel practices (SERAP) and valuing US made clothing, current…
Abstract
Purpose
This study aims to investigate the relationship between people’s socially and environmentally responsible apparel practices (SERAP) and valuing US made clothing, current perceptions of US made clothing and factors affecting apparel purchases.
Design/methodology/approach
An online survey was completed by 502 US consumer aged 18-65. Five factors were identified representing responsible apparel practices and US made clothing. Inter-factor correlations were tested. People’s perceptions toward US made clothing were examined through perceived quality, purchase experience and intentions to pay premium prices.
Findings
There was a positive correlation between SERAP and valuing US made clothing. Perceived quality of US apparel influenced both actual purchase and intentions to pay higher prices. Availability and affordability were major purchase factors.
Practical implications
US apparel companies that produce their products domestically may consider developing specific messaging that resonates with customers, taking advantage of the perception of high quality and being transparent with the cost of producing apparel domestically.
Originality/value
This study suggests domestically made apparel purchases as part of a move toward SERAP. Although previous studies have addressed consumer responsibility and sustainable businesses, the connection has been inconclusive. This study provides current data of renewed and growing interest in US made apparel and expands its value.
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Youngjoon Yu, Jae-Hyeon Ahn, Dongyeon Kim and Kyuhong Park
While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to…
Abstract
Purpose
While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to address this gap by focusing on the impact of bookmarking on consumer behavior, guided by the cognitive load theory and dual-system theory.
Design/methodology/approach
The authors executed a controlled experiment and analyzed the results using a two-stage regression method that linked visual appeal, bookmarking and purchase intent. Further empirical analysis was conducted to authenticate the authors' proposed model, utilizing real-world mobile commerce data from a clothing company.
Findings
This study's findings suggest that visual appeal influences purchase intent primarily through the full mediation of bookmarking, rather than exerting a direct influence. Furthermore, an increase in colorfulness corresponds positively with visual appeal, while visual complexity exhibits an inverted U-shaped relationship with it.
Originality/value
This study provides novel insights into the choice-set formation process through the theoretical lens of dual-system theory. Additionally, the authors employed an image processing technique to quantify a product's visual appeal as depicted in a photograph. This study also incorporates a comprehensive econometric analysis to connect the objective aspects of visual appeal with subjective responses.
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Vita Sarasi, Ina Primiana, Budi Harsanto and Yayan Satyakti
As a leading sector that has entered the international market, the Indonesian Textile and Apparel (T&A) industry has begun to focus on sustainability issues; however, this study…
Abstract
Purpose
As a leading sector that has entered the international market, the Indonesian Textile and Apparel (T&A) industry has begun to focus on sustainability issues; however, this study is still limited. This paper aims to conduct a systematic review and explore future research opportunities in developing sustainable supply chain management (SSCM) in the T&A industry in Indonesia, particularly in the small- and medium-sized enterprise (SME) sector.
Design/methodology/approach
A systematic literature review (SLR) through five academic databases, including Science Direct, IEEE Explore, Scopus, Google Scholar and Web of Science, was conducted and followed by a content analysis of the selected papers.
Findings
Directions for future research include designing a standardized and sustainable measurement of SSCM performance; analyzing SSCM practices in T&A SMEs through the concept of sustainable entrepreneurs; and exploring the application of a circular economy in the T&A industry, known as circular fashion, which is preferred by the community, affordable and environmentally friendly.
Research limitations/implications
This research only used secondary data. In-depth interviews with relevant experts should also be conducted to get a more comprehensive picture of this issue.
Originality/value
To the best of the author’s knowledge, this is the first SLR analyzing the implementation of SSCM in the T&A industry in Indonesia.
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Sunil Kumar Jauhar, B. Ripon Chakma, Sachin S. Kamble and Amine Belhadi
As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the…
Abstract
Purpose
As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the E-Commerce Industry's economic and ecological sustainability, is one of the E-Commerce Industry's greatest challenges in light of the substantial increase in online transactions. The authors have analyzed the purchasing patterns of the customers to better comprehend their product purchase and return patterns.
Design/methodology/approach
The authors utilized digital transformation techniques-based recency, frequency and monetary models to better understand and segment potential customers in order to address personalized strategies to increase sales, and the authors performed seller clustering using k-means and hierarchical clustering to determine why some sellers have the most sales and what products they offer that entice customers to purchase.
Findings
The authors discovered, through the application of digital transformation models to customer segmentation, that over 61.15% of consumers are likely to purchase, loyal customers and utilize firm service, whereas approximately 35% of customers have either stopped purchasing or have relatively low spending. To retain these consumer segments, special consideration and an enticing offer are required. As the authors dug deeper into the seller clustering, we discovered that the maximum number of clusters is six, while certain clusters indicate that prompt delivery of the goods plays a crucial role in customer feedback and high sales volume.
Originality/value
This is one of the rare study that develops a seller segmentation strategy by utilizing digital transformation-based methods in order to achieve seller group division.
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