Will you tolerate this? The impact of affective commitment on complaint intention and postrecovery behavior

Successful complaint management primarily depends on customers' willingness to voice their complaints and on companies' ability to adequately deal with these complaints. This article investigates the impact of one relationship characteristic in the complaint management process: affective commitment. Based on two studies, the authors investigate whether affective commitment moderates the impact of complaint barriers on complaint intention (a) and whether it moderates the link between complaint satisfaction and purchase behavior after the complaint (b). Results show that affectively committed customers exhibit higher complaint intention irrespective of the level of complaint barriers. Furthermore, affectively committed customers display little change in their postrecovery behavior, even after a service failure followed by an unsatisfactory recovery attempt. It seems that these customers are tolerant and want to help the provider improve their business. Affective commitment seems to amplify willingness to help the company by means of voicing dissatisfaction despite considerable efforts in doing so. Moreover, affective commitment buffers the negative effects of service failures on postrecovery behavior. Findings have important implications for managers. They highlight the necessity to measure customers' affective commitment. Based on that, tailored complaint systems can be designed, which help in achieving a more effective allocation of resources for customer recovery.

'If you had only listened carefully...':the discursive construction of emerging leadership in a UK all-women management team

Increasingly, feminist linguistic research has adopted a discursive perspective to learn how women and men 'do' leadership in gendered ways. 'Women' as a social category is made relevant to this study by virtue of the lack of female senior leaders in UK businesses (Sealy and Vinnicombe, 2013). Much previous research has analysed leadership discourse in mixed gender groups, relying on theories that imply comparisons between men and women. Using an Interactional Sociolinguistic approach, this study aims to learn more about how women perform leadership in the absence of men by analysing the spoken interactions of a women-only team who were engaged in a competitive leadership task. The analysis reveals that the women accomplish leadership in multiple and complex ways that defy binary gendered classifications. Nonetheless, there is a distinctive gendered dynamic to the team's interactions which, it is argued, might be disadvantageous to women aspiring to senior positions. © The Author(s) 2013.

We know what you want to buy:a demographic-based system for product recommendation on microblogs

Product recommender systems are often deployed by e-commerce websites to improve user experience and increase sales. However, recommendation is limited by the product information hosted in those e-commerce sites and is only triggered when users are performing e-commerce activities. In this paper, we develop a novel product recommender system called METIS, a MErchanT Intelligence recommender System, which detects users' purchase intents from their microblogs in near real-time and makes product recommendation based on matching the users' demographic information extracted from their public profiles with product demographics learned from microblogs and online reviews. METIS distinguishes itself from traditional product recommender systems in the following aspects: 1) METIS was developed based on a microblogging service platform. As such, it is not limited by the information available in any specific e-commerce website. In addition, METIS is able to track users' purchase intents in near real-time and make recommendations accordingly. 2) In METIS, product recommendation is framed as a learning to rank problem. Users' characteristics extracted from their public profiles in microblogs and products' demographics learned from both online product reviews and microblogs are fed into learning to rank algorithms for product recommendation. We have evaluated our system in a large dataset crawled from Sina Weibo. The experimental results have verified the feasibility and effectiveness of our system. We have also made a demo version of our system publicly available and have implemented a live system which allows registered users to receive recommendations in real time. © 2014 ACM.

The science of writing an article – or is it art?

Getting your work published is an important aim for anyone undertaking research. This paper described how to prepare your work for peer review. Some recommendations are detailed i.e ensure yourself that your work is of good quality, decide is which journal you want to submit it to, follow the required style and be structured. Finally, a few tips and the reviewer's checklist are reminded.

Who you are and what you do:the role of entrepreneurial human capital in the demand and supply of external finance of high-tech start-ups

The existence of adequate financial capital at start-up as well as during the lifetime of a firm is considered to be vital not only for its survival but also for its effective trading and growth, as it can act as a buffer against unforeseen difficulties (Cooper, Gimeno-Gascon, & Woo, 1994; Chandler & Hanks, 1998; Venkataraman & Van de Ven, 1998; Cassar, 2004). Inadequate or inappropriate capital structure is often the most common reason for a large proportion of small business failures (Chaganti, DeCarolis, & Deeds, 1995).