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Due to the dominant use of the singular view of the self-categorization process in the literature, this article seeks to develop a typology, from a dyadic categorization perspective, that describes different types of prejudice and justice in the organization based on one's self-categorization and others' categorization of one's self.

The authors develop a typology by drawing upon social identity, self-categorization and self-consistency theories.

The authors propose the following findings. First, the more an individual self-categorizes as an in-group member regardless of how others categorize the individual, the more likely the individual experiences a particular form of justice. Second, the more an individual self-categorizes as an out-group member regardless of how others categorize the individual, the more likely the individual experiences a particular form of prejudice. Finally, based on the dyadic categorization approach, the authors propose four distinct types of prejudice and justice: communal prejudice, self-induced prejudice, fantasized justice and actualized justice.

The authors advance the literature by providing a dyadic categorization view that helps describe employees' experience of prejudice or justice in the organization. Additionally, this article offers some managerial recommendations that help managers actualize true justice in the organization.

Categorizing projects allows for better alignment of a portfolio with the organizational strategy and goals. An appropriate project categorization helps understand portfolio’s structure and enables proper project portfolio selection (PPS). In practice, project categorization is, however, conducted in intuitive approaches. Furthermore, little attention has been given to project categorization methods in the project management literature. The purpose of this paper is to provide researchers and practitioners with a data-driven project categorization process designed for PPS.

The suggested process was modeled considering the main characteristics of project categorization systems revealed from the literature. The clustering analysis is used as the core-computing technology, allowing for an empirically based categorization. This study also presents a real-world case study in the automotive industry to illustrate the proposed approach.

This study confirmed the potential of clustering analysis for a consistent project categorization. The most important attributes that influenced the project grouping have been identified including strategic and intrinsic features. The proposed approach helps increase the visibility of the portfolio’s structure and the comparability of its components.

There is a lack of research regarding project categorization methods, particularly for the purpose of PPS. A novel data-driven process is proposed to help mitigate the issues raised by prior researchers including the inconsistencies, ambiguities and multiple interpretations related to the taken-for-granted categories. The suggested approach is also expected to facilitate projects evaluation and prioritization within appropriate categories and contribute in PPS effectiveness.

The purpose of this study is to examine categorization leakage from employees in service encounters in terms of indications that the customer has been categorized as either poor or rich. Given that customers perceive themselves as belonging to one of these two categories, leakage can result in perceptions of the categorization as either correct or incorrect, and the specific purpose is to assess the impact of such outcomes on customer satisfaction.

Two between-subjects experiments were used to manipulate service employees’ leakage of categorization clues; the participants were subject to leakage comprising clues that they had been categorized as either poor or rich. The participants’ self-perceived membership in the poor and rich categories was used as a measured factor.

The results indicate that customers are indeed sensitive to how they are categorized in service encounters. More specifically, when categorization in terms of the categories poor and rich was leaked to the customer, being correctly categorized (either as poor or rich) was more satisfying than being incorrectly categorized. In addition, given the valenced charge of these two categories, the results indicate that the category charge per se also influences satisfaction.

The present study adds employee categorization leakage to the existing literature dealing with employee-related factors affecting customer satisfaction in service encounters.

The purpose of this study is to propose that high categorization flexibility’s positive influence on hedonic or affect-laden choice is attenuated by conservation and nutrition mind-sets. Further, categorization flexibility can also promote utilitarian or cognitively superior preference and may have a role in steering customers toward healthier dietary choices.

Two experimental studies document that the pro-utilitarian impact of food categorization flexibility can be facilitated by priming conservation mind-set and nutrition mind-sets.

The results of this study show that conservation and nutrition mind-sets not only mitigate the earlier-demonstrated facilitative influence of food categorization flexibility on hedonic food preference, but also facilitate utilitarian food preference.

The current study provides the first evidence that food categorization flexibility can facilitate both hedonic and utilitarian preferences. The findings contribute to literature streams on categorization flexibility, resource-scarcity and hedonic versus utilitarian consumption. In addition, the findings offer specific prescriptions about encouraging customers to choose utilitarian and relatively more healthful food options, which in turn will improve the general welfare of the society.

Although several authors have suggested that host country nationals (HCNs) play an important role in the management of expatriates (e.g. Toh and DeNisi, 2003; Farh et al., 2010), research has also suggested that this relationship is not always good, and the flow of critical information to expatriates can be limited. This is especially true when HCNs categorize the expatriates as “out-group” members. The purpose of this paper is to examine potential determinants of categorization decisions as well as potential outcomes related to expatriate socialization.

The paper employs a dyadic survey approach to determine the antecedents to expatriate categorization and HCN socialization behaviors from the perspective of both the expatriate and HCN.

The results of survey data from 65 expatriate-HCN dyads indicated that expatriate ethnocentrism and the salience of the expatriates’ nationality were important predictors of categorization, but that categorization was related to only one dimension of socialization. However, affect was found to play a role in predicting socialization behaviors.

There is potential selection bias since expatriates chose HCNs as respondents, but results suggested this was not a serious problem. Other limitations include a relatively small sample size and the fact that a number of contextual issues such as national stereotypes and MNC strategy, are not controlled for.

Implications of these findings for the successful management of expatriate assignments include sending over expatriates with the right relational skills, and those low in ethnocentrism, rather than just the right technical skills.

The present study was one of the first to empirically test the potential role of categorization in the process of socialization.

The purpose of this paper is to understand the classification of musical medium, which is a critical part of music classification. It considers how musical medium is currently classified, provides a theoretical understanding of what is currently problematic, and proposes a model which rethinks the classification of medium and resolves these issues.

The analysis is drawn from existing classification schemes, additionally using musicological and knowledge organization literature where relevant. The paper culminates in the design of a model of musical medium.

The analysis elicits sub-facets, orders and categorizations of medium: there is a strict categorization between vocal and instrumental music, a categorization based on broad size, and important sub-facets for multiples, accompaniment and arrangement. Problematically, there is a mismatch between the definitiveness of library and information science vocal/instrumental categorization and the blurred nature of real musical works; arrangements and accompaniments are limited by other categorizations; multiple voices and groups are not accommodated. So, a model with a radical new structure is proposed which resolves these classification issues.

The results could be used to further understanding of music classification generally, for Western art music and other types of music.

The resulting model could be used to improve and design new classification schemes and to improve understanding of music retrieval.

Deep theoretical analysis of music classification is rare, so this paper’s approach is original. Furthermore, the paper’s value lies in studying a vital area of music classification which is not currently understood, and providing explanations and solutions. The proposed model is novel in structure and concept, and its original structure could be adapted for other knotty subjects.

This paper proposes that categorization flexibility, operationalized as the cognitive capacity that cross-categorizes products in multiple situational categories across multiple domains, might favorably influence a consumer’s evaluation of unconventional options.

Experimental research design is used to test the theory. An exploratory study first establishes the effect of categorization flexibility in a non-food domain. Study 1 documents the moderating role of decision domain, showing that the effect works only under low- (vs high-) consequence domain. Studies 2A and 2B further refine the notion by showing that individuals can be primed in a relatively higher categorization flexibility frame of mind. Study 3 demonstrates the interactive effect of categorization flexibility and adventure priming in a high-consequence domain. Study 4 integrates the interactive effects of decisions with low- vs high-consequence, adventure priming and categorization flexibility within a single decision domain of high consequence.

Consumers with higher- (vs lower-) categorization flexibility tend to opt for unconventional choices when the decision domain entails low consequences, whereas such a result does not hold under decision domain of high consequences. The categorization flexibility effects in case of low-consequence decision domain holds true even when consumers are primed to be categorization flexible. Furthermore, with additional adventure priming, consumers show an increased preference for unconventional options even under a decision domain with high consequence.

This study could not examine real purchase behavior as results are based on cross-sectional, behavioral intention data. In addition, it did not examine the underlying reason for presence of cross-domain categorization flexibility index.

The results suggest that stimuli may be tailored to consumers in ways that increase the salience and the perceived attractiveness of unconventional choices. Further, data reinforce the notion of cross-categorical interrelations among different domains, which could be leveraged by marketers.

This study represents the first documentation of the potential ways by which unconventional product choice might be a function of individuals’ categorization flexibility level across different types of decision domains. The findings yield implications that are novel to both categorization and consumer decision-making literature.

Recent accounting research has connected the coercive and enabling types of formalisation (C/E) (Adler and Borys, 1996) with the distinction between diagnostic and interactive controls (D/I) proposed by Simons (1995, 2000) to tackle research questions on complex control situations involving both the degree of employee autonomy and patterns of management attention. The diverse conceptual approaches used for connecting C/E and D/I have led to fragmentation in the literature and raise concerns about their conceptual clarity. In this paper, we assess the conceptual clarity of various forms of connection between C/E and D/I. Firstly, we conduct an in-depth content analysis of 59 recent papers, and inductively identify three points of conceptual ambiguity and divergence in the literature (namely, the perspective from which a phenomenon is studied; whether categories capture choices driven by design or by style-of-use; and the properties of control systems). We also observe that the literature proposes various forms of connection (i.e. coexistence, inclusion, and combination approaches). Secondly, we use the three detected points of ambiguity and divergence as assessment criteria, and evaluate the extent to which conceptual clarity is at risk under each form of connection. Based on this assessment, we provide guidelines to enhance the conceptual clarity of the connections between C/E and D/I, propose several research models, and indicate opportunities for future research in this area.

Semantic categorization of Web services comprises a fundamental requirement for enabling more efficient and accurate search and discovery of services in the semantic Web era. However, to efficiently deal with the growing presence of Web services, more automated mechanisms are required. This paper aims to introduce an automatic Web service categorization mechanism, by exploiting various techniques that aim to increase the overall prediction accuracy.

The paper proposes the use of Error Correcting Output Codes on top of a Logistic Model Trees-based classifier, in conjunction with a data pre-processing technique that reduces the original feature-space dimension without affecting data integrity. The proposed technique is generalized so as to adhere to all Web services with a description file. A semantic matchmaking scheme is also proposed for enabling the semantic annotation of the input and output parameters of each operation.

The proposed Web service categorization framework was tested with the OWLS-TC v4.0, as well as a synthetic data set with a systematic evaluation procedure that enables comparison with well-known approaches. After conducting exhaustive evaluation experiments, categorization efficiency in terms of accuracy, precision, recall and F-measure was measured. The presented Web service categorization framework outperformed the other benchmark techniques, which comprise different variations of it and also third-party implementations.

The proposed three-level categorization approach is a significant contribution to the Web service community, as it allows the automatic semantic categorization of all functional elements of Web services that are equipped with a service description file.

The purpose of this paper is to describe the development of a comprehensive categorisation of food scares.

Following an initial desktop study, the categorisation was developed collaboratively with industry experts through a workshop and series of semi-structured interviews.

The new categorisation developed is in Venn diagram format allowing overlapping categories. It is organised around the two major types of contamination (biological, and chemical/physical contaminants) and the two major causes of contamination (wilful deception, and transparency and awareness issues).

The long and complex supply chains characteristic of current food production systems have resulted in a rising number of food scares. There is thus an increased emphasis on developing strategies to reduce both the number of incidents of food scares, and their associated economic, social and environmental impacts. The new categorisation developed in this study enables experts to address categories of food scares. Inclusion of the cause of contamination is particularly important as the method through which contamination occurs is key in devising food scare prevention strategies.

The new categorisation, unlike previous categorisations, enables food scares to fall into multiple categories, as appropriate. Also, again in contrast to previous categorisations, it takes into account not only the physical problem of a food scare but also the mechanism through which it arises.