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The brand identity–image gap is a well-known marketing field. However, very little academic work has been done within the wine industry regarding collective brands. With the aim of filling this gap, this paper analyzes and describes the relationship between identity and the image of Bordeaux wines. It is intended as a collective wine brand.

From a positivist–functionalist perspective, a 45-question survey has been administered online to N = 53 internal brand operators (winery owners or managers) and to N = 655 external consumers (mainly focusing on 18–25 year-old segment). Nonprobabilistic sampling techniques have been used. Questions were structured within a semantic opposition.

Data analysis has shown that the nine-dimension model (physical, personality, culture, self-image, reflection, relationship, positioning, vision and heritage) is capable of collecting a richer and more pertinent set of information concerning the brand identity; statistically significant gaps have been found in 25 out of 45 items; counterintuitively, the consumers have a very different opinion about the brand compared with existing ideas. Direct implications are that internal brand operators may suffer from imposter syndrome; information asymmetry may play a central role in brand perception; and the brand lacks symbolic and inspirational functions.

Providing an original model to analyze and evaluate the brand identity–image gap, specifically adapted for collective wine brands, this work contributes to the literature by increasing the knowledge about brand identity issues.

The purpose of this paper is to examine the interesting but largely unexamined impact of self-uncertainty on the persuasiveness of self-deprecating advertisement.

In the present research, the experimental design and survey methods are used to collect data. Furthermore, the ANOVA and bootstrap analysis methods are adopted to verify whether a self-deprecating advertisement is more persuasive for consumers experiencing self-uncertainty and explore the mediating role of self-verification.

Study 1 indicates that people experiencing self-uncertainty are more likely to engage in actual self-verification. Study 2 demonstrates that consumers experiencing self-uncertainty are more likely to purchase products in a self-deprecating advertisement (vs. self-enhancing advertisement), and actual self-verification motive underlies this effect. In Study 3, a novel boundary condition for the main effect–product type (hedonic vs. utilitarian) is found, and it further reveals that the impact of self-uncertainty on the persuasiveness of self-deprecating advertisement will attenuate when the advertised product is utilitarian.

This research reveals that self-deprecating advertising is more desirable for consumers who experience self-uncertainty. Based on the conclusions in this paper, the self-deprecating advertising is more attractive and desirable for consumers who are reminded about their personal uncertainties. Thus, marketers could employ self-deprecating (vs. self-enhancing) advertisement to promote products. For example, in order to promote the waterproof function of iPhone 12, Apple China released a self-deprecating advertisement of “Splash proof and water resistant. Don't worry, iPhone.”

First, this research not only sheds new light on the relationship between self-uncertainty and the persuasiveness of self-deprecating advertisement but also verifies the mediating role of self-verification motive in this relationship. Moreover, this research reveals that self-uncertainty is a significant factor in how people react to the self-deprecating advertisement. It is noteworthy that the self-uncertainty effect is more likely to be found when the advertised product is related to hedonic or experiential consumption as opposed to utilitarian consumption.

The purpose of this study was to propose and examine a conceptual model delineating how two different types of appearance-related self-discrepancies (i.e. the ideal appearance self-discrepancy vs. the ought appearance self-discrepancy) influence retail therapy shopping behavior through motivational route (i.e. approach motivation vs. avoidance motivation).

This study utilized the online survey for data collection. Using a national sample of 532 US consumers who had retail therapy shopping experience, the conceptual model was tested through various statistical techniques, including confirmatory factor analysis, exploratory factor analysis and structural equation modeling.

Results revealed that the ought appearance self-discrepancy positively influenced retail therapy shopping behavior through avoidance motivation and emotion-focused coping strategy, whereas the ideal appearance self-discrepancy did not influence retail therapy shopping behavior. The results also suggested that the effect of two different types of appearance-related self-discrepancies on motivations in retail therapy shopping context varied depending on the gender (i.e. male vs. female).

Results suggest implications regarding potential target market strategies to retailers and provide a better understanding of retail therapy shoppers' characteristics and psychological mechanisms for consumer researchers.

The purpose of this paper is to investigate the cross-level relationship between moral obligation violation, overall justice climate, and survivors’ commitment.

Data were obtained from 25 companies with 261 individual employees’ cases from three main industries in Taiwan (n=25/261).

Organizations which have moral obligation violation during layoff would directly influence survivors’ perceptions of justice and further affect survivors’ level of affective commitment.

This is one of the first studies to provide evidence of the relationship between moral obligation violation, overall justice climate and survivors’ affective commitment. Additionally, most studies of survivors’ attitude and behavior are based on the third-party perspective; this study is the first to argue that survivors are also affected by employers’ layoff as well as victims. The influence of layoff will lead to survivors’ subsequent attitude and behavior.

Scholars and practitioners within industrial maintenance management are focused on understanding antecedents, correlates and consequences of the concept of “Smart Maintenance,” which consists of the four dimensions, namely, data-driven decision-making, human capital resource, internal integration and external integration. In order to facilitate this understanding, valid and reliable empirical measures need to be developed. Therefore, this paper aims to develop a psychometric instrument that measures the four dimensions of Smart Maintenance.

The results from two sequential empirical studies are presented, which include generating items to represent the constructs, assessment of content validity, as well as an empirical pilot test. With input from 50 industrial experts, a pool of 80 items that represent the constructs are generated. Thereafter, using data from 42 industrial and academic raters, the content validity of all items is assessed quantitatively. Finally, using data from 59 manufacturing plants, the dimensionality and factor structure of the instrument are tested.

The authors demonstrate content validity and provide evidence of good model fit and psychometric properties for one-factor models with 8–11 items for each of the four constructs, as well as a combined 24-item four-factor model.

The authors provide recommendations for scholarly use of the instrument in further theory-testing research, as well as its practical use to assess, benchmark and longitudinally evaluate Smart Maintenance within the manufacturing industry.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

To develop and test a model and software‐based support system for better understanding of the interactions between man‐machine‐maintenance‐economy (MMME), and enable cost‐effective decisions.

The study is based on published knowledge and experience within maintenance, maintenance organization and production, and a case study.

Development of a model describing interactions between man‐machine‐maintenance‐economy interactions and MMME software module. MMME test shows its ability to identify, quantify, assess and follow up losses in production time which is necessary when planning effective maintenance actions.

In the paper the focus is to quantify production time losses in order to identify the root causes of the problem. The case study is performed at a manufacturing plant for truck engines.

A systematic approach of how to quantify and evaluate losses in production time in order to identify problems and problem areas within the production. This approach is discussed and motivated with the aim of achieving more cost‐effective decisions in maintenance.

The model and software application developed enables a structured way of analyzing production time losses in order to find cost‐effective solutions to the problems. The model is very flexible enabling it to be customized for a wide spectrum of branches.