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During the 1980s, the Textile/Clothing Technology Corporation in the USA has undertaken an imaginative and ambitious research and development programme to promote further automation in the industry. This study focuses attention on the development phase of the project, and documents changes which have been made in order to commercialise the original prototype equipment. The format and style of the paper is that of a case study, designed to promote thought on strategic planning and the management of long‐term R&D projects, with particular reference to the UK clothing industry.

Presents research into the improvement of flow‐line assembly systems. Aims to understand and improve the design and control of manually intensive flow‐line assembly in the clothing industry. A simulation model of the progressive bundle system has been constructed, incorporating operator performance variations and learning effects, machine failure and repair, operator absenteeism, quality failure and supervisory control. While the operator performance data and the stochastic variables are handled satisfactorily within the simulation, the problems of control are not handled well by conventional discrete event modelling techniques. Adopts a knowledge‐based approach to control in which an online computerized supervisor exercises control over the execution of the simulation run. Complex system models are not easy to validate and a four‐stage approach is used to demonstrate conformance with real‐world systems: qualification; face validity; modular validation; and time‐series system behaviour. Discusses applications of the model and the results of experiments with a line starting work on a new style.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Despite the rapid adoption of smartphones among digital fashion consumers, their attitude to retailers' mobile apps and websites is one of increasing dissatisfaction. This suggests that understanding how mobile consumers use smartphones for fashion shopping is important in developing digital shopping platforms that fulfil consumer' expectations.

For this research, mobile eye-tracking technology was employed in order to develop unique shopping journeys for 30 consumers, using fashion retailers' websites on smartphones, documenting their differences and similarities in browsing and purchasing behaviour.

Based on scan path visualisations and observed shopping experiences, three prominent mobile shopping journeys and shopper types were identified: “directed by retailer's website”, “efficient self-selected journey” and “challenging shopper”. These prominent behaviour patterns were used to characterise mixed cluster behaviours; three distinct mixed clusters were identified, namely, “extended self-selected journey”, “challenging shoppers directed by retailer's website” and “focused challenging shopper”.

This research argues that mobile consumers can be segmented based on their activities and behaviours on the mobile website. Knowing the prominent shopping behaviour types any other complex behaviour patterns can be identified, analysed and described.

The findings of this research can be used in developing personalised shopping experiences on smartphones by feeding these shopper types into retailers' digital marketing strategy and artificial intelligence (AI) systems.

This paper contributes to consumer behaviour literature by proposing a novel mobile consumer segmentation approach based on detailed shopping journey analysis using mobile eye-tracking technology.

Examines the ninth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the seventeenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the sixteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Explains that the improvement of flowline assembly systems provides the context for this research: to understand and improve the design and control of manually‐intensive flowline assembly in the clothing industry. Constructs a simulation model of the progressive bundle system, incorporating operator performance variations and learning effects, machine failure and repair, operator absenteeism, quality failure and supervisory control. Notes that, while the operator performance data and the stochastic variables are handled satisfactorily within the simulation, the problems of control are not handled well by conventional discrete event modelling techniques. Adopts a knowledge‐based approach to control, in which an online computerized supervisor exercises control over the execution of the simulation run. As complex system models are not easy to validate, uses a four‐stage approach to demonstrate conformance with real‐world systems: qualification, face validity, modular validation and time‐series system behaviour. Discusses applications of the model and the results of experiments with a line starting work on a new style.

The purpose of this paper is to examine how reference to a rival or favorite sports team within cause-related sports marketing (CRSM) campaigns affects fans’ intentions to support the cause. The purpose of the studies is to assess the perils of featuring a specific team in league-wide activations of cause-related marketing.

The research comprises three experiments. Study 1 employs CRSM advertising to test fans’ responses when rival or hometown team imagery is featured by Major League Baseball (MLB). Studies 2 and 3 utilize a press release to activate a cause partnership in MLB and the National Basketball Association (NBA) and assess the potential influence of team involvement and schadenfreude toward the rival team.

Contrary to previous research, results demonstrate that rival team presence in league-wide activation can reduce intentions to support the cause effort across both leagues, but not in all circumstances. The influence of rival team exposure on perceived sincerity is moderated by team involvement with the cause in MLB, but not the NBA. However, sincerity consistently enhances cause support across all studies. While conditional effects of schadenfreude are noted, it is not a significant moderator of cause support.

This research exposes the nuance of league-wide CRSM activations. Specifically, the rival team effect on perceived sincerity seems to be league dependent, and subject to team involvement with the cause. Moreover, these results are limited to the leagues studied.

League administrators and their cause-related partners should exercise due diligence when promoting their affiliation using specific teams and levels of involvement with the cause.

These studies produce results that differ from the limited prior research within the domain of league-wide CRSM, and therefore advance the conversation regarding how best to activate such campaigns.