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Online grocery shopping has enjoyed strong growth and it is predicted this channel will continue to grow exponentially in the coming years. While online shopping has attracted an abundance of research interest, examinations of online grocery shopping behaviour are only now emerging. Shopping online for groceries differs considerably from general online shopping due to the perishability and variability of the product, and frequency of the shopping activity. Two salient gaps underpin this research into online grocery shopping. This study responds to calls to investigate the online shoppers’ experience in the context of online purchasing frequency. Second, this study examines the mediating effect of perceived risk between trust and online repurchase intention of groceries. An online survey was employed to collect data from shoppers who were recruited from a multi-channel grocery e-retailer’s database. The online survey, comprising 16 reflective validated scale items, was sent to 555 frequent and infrequent online grocery shoppers. Results find that while customer satisfaction predicts trust for both infrequent and frequent online grocery shoppers, perceived risk fully mediates the effect of trust on repurchase intentions for infrequent online grocery shoppers. Furthermore, path analysis reveals that the developed behavioural model is variant across both groups of shoppers. Theoretically, we provide a deeper understanding of the online customer experience, while gaining insight into two shopper segments identified as being important to grocery e-retailers. For managers, this study tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk in grocery e-retailing, regardless of purchase frequency or experience.  相似文献   
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The most comprehensive models of purchase behavior for frequently purchased supermarket items explain households' purchase incidence decisions (whether to buy), brand choice decisions (what to buy), and purchase quantity decisions (how much to buy). In this study, we develop a three-stage purchase incidence/brand choice/purchase quantity model for household-level data in which all three stages are specified with (i) random coefficient distributions for model covariates and (ii) random effect distributions to account for unobserved factors affecting demand (known as common demand shocks), while also (iii) controlling for the effects of endogeneity on prices. Compared to current state-of-the-art models for multi-stage purchase decisions, the results show improvements in fit and forecasting accuracy when purchase behaviors are modeled with all of these components in combination. Perhaps more importantly, when common demand shocks are ignored, substantial differences in parameter estimates and diagnostic information about consumer behavior are likely (median differences in parameter estimates are 10% and 20% in two product categories), which impact managerial deliberations about price and promotion policies. Further, failure to account for common demand shocks affects the mean and variance of random coefficient distributions in unpredictable directions, which could produce results that encourage managers to pursue inappropriate and costly micro-level product marketing strategies.  相似文献   
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This study explores how individuals construed as ‘young’ for their managerial positions seek to mitigate their youth in order to gain and maintain legitimacy in an Asian socio-cultural context which (traditionally) privileges age seniority. Drawing on the narratives of local and expatriate managers at the Thai-based subsidiaries of Western multinational companies, we show how individuals experience ‘youth discrimination’ seeking to negotiate their age using alternative identity attributes with differing stakeholder groups. Findings expand our understanding of how and why attitudes towards managers viewed as ‘young’ affect perceptions of role legitimacy and performance. Implications for corporate HRM – specifically managerial selection – in Asia, as well as notions of discrimination ‘intersectionality’ are then progressed.  相似文献   
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Subsampling and the m out of n bootstrap have been suggested in the literature as methods for carrying out inference based on post-model selection estimators and shrinkage estimators. In this paper we consider a subsampling confidence interval (CI) that is based on an estimator that can be viewed either as a post-model selection estimator that employs a consistent model selection procedure or as a super-efficient estimator. We show that the subsampling CI (of nominal level 1−α for any α(0,1)) has asymptotic confidence size (defined to be the limit of finite-sample size) equal to zero in a very simple regular model. The same result holds for the m out of n bootstrap provided m2/n→0 and the observations are i.i.d. Similar zero-asymptotic-confidence-size results hold in more complicated models that are covered by the general results given in the paper and for super-efficient and shrinkage estimators that are not post-model selection estimators. Based on these results, subsampling and the m out of n bootstrap are not recommended for obtaining inference based on post-consistent model selection or shrinkage estimators.  相似文献   
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The ongoing establishment of transnational information and consultation set in train by the European Works Council Directive of September 1994 is estimated to impact on approximately 25,000 employee representatives in some 1200 multinationals based in the EEA and beyond. This presents labour educators with enormous opportunities and challenges. Specific research questions which emerge in this context concern the extent to which such representatives have a set of generic and therefore transnational training needs in the area of skill, knowledge, and values/attitudes. Second, there is the extent to which existing methods of training needs identification are appropriate to detect and specify both individual and collective/organisational needs at this level. A third question concerns the prospects for transnational worker representatives to embed training needs analysis in their practice. This article attempts to shed some light on these questions. 1 This article is based on research made possible by the LEONARDO da VINCI programme funded by the EU commission. The LEONARDO programme supports the development supports the development of methodologies, materials and infastructure in the broad area of vocational training. The author would like to thank the partners for their assistance and critical comments in particular, Nick Clark (TUC,UK), Boudewijn Berentsen (FNV, Netherlands), Maria Irace (CISL, Italy), Jean Claud le Douaron (ETUCO, Brussels), Willi Derbogen (Arbeit und Leben, Germany), John Stirling, and Bob Mansfield, Prime Research and Development.
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Doug Cocks   《Futures》2004,36(10):1139-1145
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