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The purpose of this paper is to analyze a case where electronic date interchange implementation has been successful and to distill the main reasons for this success and understand how the actors involved dealt with the main inhibiting factors suggested by the information systems management literature.

The aim of the paper being explorative and partially confirmatory, an “information rich” case was selected to generate new knowledge and review the extant literature on EDI adoption's antecedents and consequences.

Whereas some suggestions from the literature were confirmed, others are to be reviewed. The main findings are the following: managerial commitment, technological readiness (both of the systems themselves as of employees) and unclear return on investment are the main inhibitors of EDI adoption. One inhibiting factor that, to the authors' knowledge, has not received enough attention in the literature is the fear of data disclosure. The main benefits are not a mere reduction in administrative costs by improved supply coordination and exceptions management. Finally, the personal relationship between participants is the most important for the success of an implementation.

This case can be of value for vertically (relationally) integrated companies that aim to improve supply chain coordination through electronic integration in the apparel, but also in other, industries.

To the authors' knowledge there has not been any study yet analyzing EDI implementation in vertically integrated companies in the apparel industry so far. Also the authors feel that an in‐depth single case study considerably adds to the knowledge of the phenomenon in question because of the possibility of envisaging the relevance of contextual factors.

The purpose of this paper is to discuss the actual state of demand chain management compared with its promises of a few years ago.

The most important literature on demand chain management of recent years is confronted with recent findings on strategies of the main supply and demand‐oriented firms in the fashion industry and on consumer behaviour.

Following Hoover et al. the demand chain is defined as “the chain of activities that communicates demand from markets to suppliers”. In this paper some interesting contributions to this debates are reviewed. Then, on the basis of remaining problems in the fashion industry in the realm of failing customer satisfaction, questions whether the promise of demand chain is not a consequence of shortcomings in the field of marketing – which apparently has moved too much into the direction of strategic positioning and information push instead of market research.

Even when some of the most interesting approaches to demand chain management and key developments in the industry are confronted with one another, these selections cannot claim to be exhaustive.

The conclusion, proposing to concentrate on efficient supply chain management, on the one hand, and better understanding consumers, on the other hand, helps fashion firms to focus their attention more clearly.

No such overview and confrontation, as presented in this article, existed until now. Also, the view that demand chain management in a way tries to fill the gaps left by market research sheds new light on these discussions.

Sustainable machining is a global consensus and the necessity to cope up the serious environmental threats. Minimum quantity lubrication (MQL) and nanofluids-based MQL(NFMQL) are state-of-the-art sustainable lubrication modes. The purpose of this study is to investigate the effect of process parameters, such as feed rate, depth of cut and cutting fluid flow rate, on temperature and surface roughness of the manufactured pieces during face milling of the AISI D2 steel.

A statistical technique called response surface methodology with Box–Behnken Design was used to design experimental runs, and empirical modeling was presented. Analysis of variance was carried out to evaluate the model’s accuracy and the validation of the applied technique.

A comprehensive analysis revealed the superiority of implementing NFMQL in comparison to MQL within the levels of process parameters. The comparison has shown a significant reduction of temperature under NFMQL at the tool-workpiece interface from 16.2 to 34.5 per cent and surface roughness from 11.3 to 12 per cent.

This research is useful for practitioners to predict the responses in workshop and select appropriate cutting parameters. Moreover, this research will be helpful to reduce the resource which will ultimately save energy consumption and cost.

To cope with the industrial challenges and tribological issues associated with the milling of AISI D2 steel, experiments were conducted in a distinct machining mode with innovative cooling/lubrication. Until now, few studies have addressed the key lubrication effects of Al₂O₃-based nanofluid on the machinability of D2 steel under NFMQL lubrication condition.